[ { "embrapa_id": "doi:10.48432/00LTQI", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/00LTQI" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 3.4 hectares in Tapajós, Belterra, Pará, Brasil in 2010.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory dataset for \"Floresta Nacional do Tapajós\" - TAP_A04_2010_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2010-01-15" }, { "@dateType": "Submitted", "#text": "2022-02-19" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "550016", "135908", "5", "1570" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Floresta Nacional do Tapajós (TAP_A04_2010_Inventory) refers to the inventory carried out in Tapajós National Forest, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Floresta Nacional do Tapajós (TAP_A04_2010_Inventory) refere-se ao inventário realizado na Floresta Nacional do Tapajós, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Floresta Nacional do Tapajós\nArea code: TAP_A04_2010_Inventory\nMunicipality: Belterra\nLocation: Floresta Nacional do Tapajós\nState: Pará\nCountry: Brazil\nUTM Zone: 21S\n**Forest Inventory Information**\nTotal number of plots: 4 sample lines (transects)\nPlot dimensions: 500m long\nPlot area: nominal plot size of 0.85ha approximately\nPlot inclusion criteria: all trees with DBH >= 5cm\nTotal area inventoried: 3.4 ha approximately\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "westBoundLongitude": "-54.96916", "eastBoundLongitude": "-54.95645", "southBoundLatitude": "-3.02341", "northBoundLatitude": "-3.011805829" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/0A5IE5", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0A5IE5" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 5 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2013.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set Floresta Nacional de Saracá-Taquera - FST_A01_2013_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2013-11-17" }, { "@dateType": "Submitted", "#text": "2022-03-07" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "380332", "86146", "5", "4102" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Floresta Nacional de Saracá-Taquera (FST_A01_2013_Inventory) refers to the inventory carried out in Saracá-Taquera National Forest, Pará state, Brazil to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Floresta Nacional de Saracá-Taquera (FST_A01_2013_Inventário) refere-se ao inventário realizado na Floresta Nacional de Saracá-Taquera, estado do Pará, Brasil, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Flona Saracá-Taquera\nArea code: FST_A01_2013\nMunicipality: Oriximiná\nLocation: Flona Saracá-Taquera\nState: PA\nCountry: Brazil\nUTM Zone: 21S\n**Forest Inventory Information**\nTotal number of plots: 20\nPlot dimensions: 50x50m\nPlot area: 2500m²\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 5x50m\nSub-plot area: 250m²\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 5ha\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Saracá-Taquera, Pará, Brazil" }, { "geoLocationBox": { "eastBoundLongitude": "-56.21113", "northBoundLatitude": "-1.605773423", "southBoundLatitude": "-1.63151", "westBoundLongitude": "-56.23707" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/0CEG8Q", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0CEG8Q" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 739 hectares in Feliz Natal IV, Mato Grosso, Brasil in 2017.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Feliz Natal municipality - IV\" - FND_A03_2017_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2017-04-12" }, { "@dateType": "Submitted", "#text": "2022-01-30" }, { "@dateType": "Updated", "#text": "2025-08-15" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "32747", "656158720" ] }, "formats": { "format": [ "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Feliz Natal municipality - IV (FND_A03_2017_LiDAR) refers to the survey carried out in the Feliz Natal municipality, Mato Grosso state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR do município de Feliz Natal - IV (FND_A03_2017_LiDAR) referem-se ao levantamento realizado no município de Feliz Natal, Mato Grosso, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 16" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20170412\nLocation: Feliz Natal minicipality - IV, Mato Grosso State\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 15\nTotal area: 739 ha\nAverage return density (point per square meter): 13.47 ppm2\nAverage flight altitude: 850m\nField of view: 15°\nScanner specification OPTECH/ ALTM 3100/ 05SEN171\nScanning frequency: 40Hz\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency: 1Hz\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency: 200kHz\nPercentage of flightline overlap: 70%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Feliz Natal, Mato Grosso, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-12.2614913699", "southBoundLatitude": "-12.284345344", "eastBoundLongitude": "-55.0262714378", "westBoundLongitude": "-55.0772867065" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/0J4MLD", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0J4MLD" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Costa, Newton de Lucena" }, "givenName": "Newton de Lucena", "familyName": "Costa", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-6853-3271" }, "affiliation": "Embrapa Roraima" }, { "creatorName": { "@nameType": "Personal", "#text": "Jank, Liana" }, "givenName": "Liana", "familyName": "Jank", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9436-3678" }, "affiliation": "Embrapa Roraima" }, { "creatorName": { "@nameType": "Personal", "#text": "Magalhães, João Avelar" }, "givenName": "João Avelar", "familyName": "Magalhães", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0270-0524" }, "affiliation": "Embrapa Roraima" }, { "creatorName": { "@nameType": "Personal", "#text": "Bendahan, Amaury Burlamaqui" }, "givenName": "Amaury Burlamaqui", "familyName": "Bendahan", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-4856-8530" }, "affiliation": "Embrapa Roraima" }, { "creatorName": { "@nameType": "Personal", "#text": "Rodrigues, Braz Henrique Nunes" }, "givenName": "Braz Henrique Nunes", "familyName": "Rodrigues", "nameIdentifier": "0000-000-0094-6333", "affiliation": "Embrapa Meio Norte" }, { "creatorName": { "@nameType": "Personal", "#text": "Santos, Francisco José de Seixas" }, "givenName": "Francisco José de Seixas", "familyName": "Santos", "nameIdentifier": { "@SchemeURI": "http://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-8112-9003" }, "affiliation": "Embrapa Meio Norte" } ] }, "titles": { "title": [ "Produtividade de forragem e morfogênese de cultivares de Megathyrsus maximus nos cerrados de Roraima.", { "@titleType": "Subtitle", "#text": "Manejo de cultivares de Megathyrsus maximus nos cerrados de Roraima" }, { "@titleType": "AlternativeTitle", "#text": "Forage productivity and morphogenesis of Megathyrsus maximus cultivars in the cerrados of Roraima." } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "https://lod.nal.usda.gov/nalt/43835", "@subjectScheme": "https://www.vocabularyserver.com/thesagro/index.php?tema=1261", "#text": "megathyrsus maximus" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=2555", "@subjectScheme": "https://www.vocabularyserver.com/thesagro/index.php?tema=1261", "#text": "capim colonião" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=8833", "@subjectScheme": "http://aims.fao.org/aos/agrovoc/c_331318", "#text": "matéria seca" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=795", "@subjectScheme": "http://aims.fao.org/aos/agrovoc/c_331318", "#text": "perfilhação" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=798", "@subjectScheme": "http://aims.fao.org/aos/agrovoc/c_331318", "#text": "senescência" }, { "@schemeURI": "https://www.vocabularyserver.com/thesag", "@subjectScheme": "http://aims.fao.org/aos/agrovoc/c_2832", "#text": "taxa de aparecimento foliar" }, { "@subjectScheme": "http://aims.fao.org/aos/agrovoc/c_5993", "#text": "plants (Agrovoc)" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Costa, Newton de Lucena" }, "givenName": "Newton de Lucena", "familyName": "Costa", "affiliation": "Embrapa Roraima" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Costa, Newton de Lucena" }, "givenName": "Newton de Lucena", "familyName": "Costa", "affiliation": "Embrapa Roraima" }, { "@contributorType": "DataCollector", "contributorName": "Embrapa Roraima" } ] }, "dates": { "date": [ { "@dateType": "Issued", "#text": "2023-08-18" }, { "@dateType": "Created", "#text": "2023-08-12" }, { "@dateType": "Submitted", "#text": "2023-08-28" }, { "@dateType": "Updated", "#text": "2024-07-17" }, { "@dateType": "Collected", "#text": "2015-04-01/2015-10-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "dados experimentais" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@SchemeURI": "http://dx.doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.33448/rsd-v9i8.6054" } }, "sizes": { "size": [ "577666", "1652" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Conjunto de dados com a produtividade de matéria seca verde e as características morfogênicas e estruturais de seis cultivares de Megathyrsus maximus (Massai, Mombaça, BRS Quênia, BRS Tamani, Tanzânia e BRS Zuri) nos cerrados de Roraima.\n\nData set with green dry matter productivity and morphogenic and structural characteristics of six cultivars of Megathyrsus maximus (Massai, Mombaça, BRS Kenya, BRS Tamani, Tanzânia and BRS Zuri) in the cerrados of Roraima." }, { "@descriptionType": "Other", "#text": "Experimento conduzido em solos sob vegetação de cerrados de Roraima em condições ambientais naturais sem intervenção antrópica" } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Boa Vista Roraima" } }, "fundingReferences": { "fundingReference": { "funderName": "Embrapa", "awardNumber": "20.18.01.017.00.00" } } } }, { "embrapa_id": "doi:10.48432/0LMG2U", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0LMG2U" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6956-7345" }, "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuaria" } }, "titles": { "title": [ "Plant height and biomass of castor plants treated with plant growth regulators.", { "@titleType": "AlternativeTitle", "#text": "Altura e biomassa de plantas de mamona tratadas com reguladores de crescimento vegetal" } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6600", "@subjectScheme": "Agrovoc", "#text": "Ricinus communis" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3160", "@subjectScheme": "Agrovoc", "#text": "gibberellic acid" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_1572", "@subjectScheme": "Agrovoc", "#text": "chlormequat" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35221", "@subjectScheme": "Agrovoc", "#text": "mepiquat chloride" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24880", "@subjectScheme": "Agrovoc", "#text": "paclobutrazol" }, "trinexapac-ethyl" ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuaria" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "Embrapa Algodão" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-01-23" }, { "@dateType": "Updated", "#text": "2024-06-20" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Experimental data" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1590/1807-1929/agriambi.v28n5e276554" } }, "sizes": { "size": [ "16548", "5045860", "16442", "1710199", "1377812", "508154", "1749117" ] }, "formats": { "format": [ "text/plain", "image/jpeg", "text/plain", "image/jpeg", "image/jpeg", "application/pdf", "image/jpeg" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "[en] Pictures and data collected in an experiment at greenhouse conditions to evaluate the height growth and biomass of castor plants (Ricinus communis) exposed to artificial shade and treated with five plant growth regulators (chlormequat chloride, gibberellic acid, mepiquat chloride, paclobutrazol, and trinexapac-ethyl). For comparison, some plants were exposed to full sun radiation." }, { "@descriptionType": "Abstract", "#text": "[pt] Fotografias e conjunto de dados colhidos em um experimento em casa-de-vegetação com objetivo de avaliar a altura e a biomassa de plantas de mamona (Ricinus communis) crescendo sob sombra artificial e tratadas com cinco reguladores de crescimento (cloreto de clormequat, cloreto de mepiquat, ácido giberélico, paclobutrazol e trinexapac-etil). Para comparação, algumas plantas foram expostas à radiação solar plena." } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Sinop, State of Mato Grosso, Brazil" } }, "fundingReferences": { "fundingReference": { "funderName": "Embrapa / Terasol", "awardNumber": "30.20.90.020.00.00" } } } }, { "embrapa_id": "doi:10.48432/0LU9C8", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0LU9C8" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Miele, Marcelo" }, "givenName": "Marcelo", "familyName": "Miele", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-3857-8401" }, "affiliation": "Embrapa Suínos e Aves" }, { "creatorName": { "@nameType": "Personal", "#text": "Almeida, Maxwell Merçon Tezolin Barros" }, "givenName": "Maxwell Merçon Tezolin Barros", "familyName": "Almeida", "affiliation": "Instituto Brasileiro de Geografia e Estatística" }, { "creatorName": { "@nameType": "Personal", "#text": "Instituto Brasileiro de Geografia e Estatística" }, "givenName": "de", "familyName": "tituto Brasileiro de Geografia e Estatística", "affiliation": "Instituto Brasileiro de Geografia e Estatística" } ] }, "titles": { "title": [ "Caracterização da avicultura no Brasil a partir do Censo Agropecuário 2017 do IBGE.", { "@titleType": "AlternativeTitle", "#text": "Characterization of poultry farming in Brazil based on the 2017 IBGE Agricultural Census." } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Business and Management", "Social Sciences", { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_6145", "@subjectScheme": "Agrovoc", "#text": "poultry" }, { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_742", "@subjectScheme": "Agrovoc", "#text": "aviculture" }, { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_9435", "@subjectScheme": "Agrovoc", "#text": "broiler chickens" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_12109", "@subjectScheme": "Agrovoc", "#text": "layer chickens" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=1617", "@subjectScheme": "Thesagro", "#text": "frango" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=2243", "@subjectScheme": "Thesagro", "#text": "galinha para postura" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_0883a013", "@subjectScheme": "Agrovoc", "#text": "animal housing systems" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_29461", "@subjectScheme": "Agrovoc", "#text": "rearing systems" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Miele, Marcelo" }, "givenName": "Marcelo", "familyName": "Miele", "affiliation": "Embrapa Suínos e Aves" }, { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Almeida, Maxwell Merçon Tezolin Barros" }, "givenName": "Maxwell Merçon Tezolin Barros", "familyName": "Almeida", "affiliation": "Instituto Brasileiro de Geografia e Estatística" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Coordenação de Estatísticas Agropecuárias / Diretoria de Pesquisas" }, "givenName": "de de", "familyName": "nação de Estatísticas Agropecuárias / Diretoria de Pesquisas", "affiliation": "Instituto Brasileiro de Geografia e Estatística" }, { "@contributorType": "Producer", "contributorName": "Embrapa Suínos e Aves", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-10-05" }, { "@dateType": "Updated", "#text": "2023-12-22" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados de levantamentos" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "ISSN", "#text": "0101-6245" } }, "sizes": { "size": [ "473534", "286852" ] }, "formats": { "format": [ "application/pdf", "text/csv" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "O objetivo deste conjunto de dados é dimensionar e caracterizar a avicultura no Brasil a partir dos resultados definitivos do Censo Agropecuário 2017, realizado pelo Instituto Brasileiro de Geografia e Estatística (IBGE). A partir do conjunto de dados é possível quantificar os diferentes segmentos da avicultura no Brasil, nas suas grandes regiões geográficas e unidades da federação, por grupos de cabeças e por sistema de criação, bem como caracterizar suas principais dimensões socioeconômicas (área, uso da terra, produção e rebanhos, tipologia do produtor, acesso e origem da orientação técnica, o número de trabalhadores e receita bruta agropecuária e da avicultura). Considerou-se nas tabulações especiais quatro diferentes sistemas de criação (produtores de frangos de corte, produtores de ovos para consumo, produtores de ovos para incubação ou com rebanho de matrizes e outros sistemas) e 11 grupos de cabeças de galináceos (total, de 1 a 100, de 101 a 200, de 201 a 500, de 501 a 1.000, de 1.001 a 5.000, de 5.001 a 10.000, de 10.001 a 50.000, de 50.001 a 100.000, de 100.001 e mais cabeças e sem rebanho na data de referência), abrangendo 33 níveis territoriais (Brasil, Grandes Regiões e Unidades da Federação e Distrito Federal). As variáveis de estoque como rebanho e área são da data de referência do censo que foi 30/09/2017, e as variáveis de fluxo como ovos e cabeças vendidas e valor das vendas são do período de referência do censo que foi o ano-safra de outubro de 2016 a setembro de 2017." }, { "@descriptionType": "Abstract", "#text": "The objective of this data set is to size and characterize poultry farming in Brazil based on the definitive results of the 2017 Agricultural Census, carried out by the Brazilian Institute of Geography and Statistics (IBGE). From the data set it is possible to quantify the different segments of poultry farming in Brazil, in its large geographic regions and federation units, by livestock groups and farming system, as well as characterize its main socioeconomic dimensions (area, land use , production and herds, type of producer, access and origin of technical assistence, the number of workers and gross revenue from agriculture and poultry farming). In the special tabulations, four different farming systems were considered (broiler chicken producers, egg producers for consumption, egg producers for hatching or with a flock of breeders and other systems) and 11 groups of chicken heads (a total of 1 to 100, from 101 to 200, from 201 to 500, from 501 to 1,000, from 1,001 to 5,000, from 5,001 to 10,000, from 10,001 to 50,000, from 50,001 to 100,000, from 100,001 and more heads and without herd on the reference date), covering 33 territorial levels (Brazil, Major Regions and Federation Units and Federal District). The stock variables such as herd and area are from the census reference date which was 09/30/2017, and the flow variables such as eggs and heads sold and sales value are from the census reference period which was the harvest year from October 2016 to September 2017." }, { "@descriptionType": "Other", "#text": "O IBGE disponibiliza no seu portal (https://www.ibge.gov.br/) e no Sistema IBGE de Recuperação Automática de Dados - SIDRA (https://sidra.ibge.gov.br/pesquisa/censo-agropecuario/censo-agropecuario-2017/resultados-definitivos) as informações mais relevantes acerca dos estabelecimentos que tinham galináceos na data de referência do Censo Agropecuário. Entretanto, foi necessário a elaboração de tabulações especiais a fim de contemplar variáveis de interesse não disponíveis de forma desagregada para os estabelecimentos agropecuários com galináceos na data de referência, bem como agrupar os estabelecimentos agropecuários por sistema de criação de galináceos, tendo em vista que essa categoria não foi investigada. Os critérios de classificação dos estabelecimentos agropecuários por sistema de criação são: o sistema de criação \"produtores de ovos para consumo\" agrupou os estabelecimentos com a quantidade de ovos de galinha produzidos > 0 dúzias e o rebanho total de matrizes <= 0 cabeça; o sistema de criação \"Produtores de ovos para incubação\" agrupou os estabelecimentos com o rebanho total de matrizes > 5.000 cabeças; o sistema de criação \"Produtores de frangos de corte\" agrupou os estabelecimentos com a quantidade de galináceos vendidos > 0 cabeça, a quantidade de ovos de galinha produzidos <= 0 dúzia e o rebanho total de matrizes <= 0 cabeça; o sistema de criação \"Outro\" agrupou os demais estabelecimentos não agrupados nos três sistemas acima. O conjunto de dados contempla variáveis disponíveis no SIDRA e variáveis disponibilizadas a partir das tabulações especiais. As variáveis disponíveis no SIDRA são: número de estabelecimentos agropecuários com galináceos (inclui galinhas, galos, frangos, frangas e pintos) na data de referência (30/09/2017) e que venderam galináceos ou que produziram ovos no período de referência (ano-safra de outubro de 2016 a setembro de 2017); número de cabeças de galináceos e composição do plantel (frangas, frangos e pintos para engorda, galos, galinhas poedeiras e matrizes/avós de galinhas nos estabelecimentos agropecuários com mais de 200 cabeças); número de cabeças de galináceos vendidas e valor da venda no período de referência (ano-safra de outubro de 2016 a setembro de 2017); quantidade produzida e vendida de ovos de galinhas e valor da produção e da venda no período de referência (ano-safra de outubro de 2016 a setembro de 2017); tipologia dos estabelecimentos agropecuários com galináceos (familiar e não familiar, conforme a Lei n.º 11.326 de 24.07.2017). As variáveis disponibilizadas a partir das tabulações especiais são: número de estabelecimentos agropecuários que venderam ovos no período de referência; número de estabelecimentos agropecuários que receberam orientação de técnico especializado em agropecuária e origem da orientação (governo federal, estadual ou municipal, própria, cooperativas, empresas integradoras, empresas privadas de planejamento, organização não-governamental, Sistema S e outra origem); número de estabelecimentos agropecuários cuja finalidade principal da produção era o consumo próprio e de pessoas com laços de parentesco com o produtor; número de estabelecimentos agropecuários com Cadastro Nacional de Pessoa Jurídica (CNPJ); área total do estabelecimento agropecuário e área de pastagem plantada, lavoura permanente, lavoura temporária e de matas e/ou florestas naturais destinadas à preservação permanente (APP) ou reserva legal (RL); receita bruta total da produção agropecuária; total de trabalhadores com e sem laços de parentesco com o produtor. Observação importante 1: uma característica marcante da avicultura brasileira é a integração da produção com contratos de integração entre produtores e agroindústrias e cooperativas, além da existência da avicultura independente; como o Censo Agropecuário não investigou a forma de inserção da produção de frangos e ovos na cadeia produtiva, e considerando que uma prática comum nas integrações e no sistema cooperativado é o fornecimento de assistência técnica por parte de agroindústrias e cooperativas, é possível utilizar a origem da orientação técnica como indicador dessa dimensão. Observação importante 2: por motivo de sigilo estatístico, células de variáveis quantitativas (exceto número de estabelecimentos) com menos de 3 informantes foram desidentificados com \"X\", complementarmente, se apenas uma célula foi desidentificada em um grupo de classes pelo motivo anterior, o menor valor de outra célula do mesmo grupo de classes da variável em questão também foi desidentificada com \"X\"." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Instituto Brasileiro de Geografia e Estatística" } } } }, { "embrapa_id": "doi:10.48432/0R7NGZ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0R7NGZ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 500 hectares in Jamari II, Rondônia, Brasil in 2011.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Floresta Nacional do Jamari\" - JAM_A02_2011_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2011-11-17" }, { "@dateType": "Submitted", "#text": "2022-02-05" }, { "@dateType": "Updated", "#text": "2024-05-17" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "29281", "545341440" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional do Jamari (JAM_A02_2011_LiDAR) refers to the survey carried out in the Jamari National Forest, Rondonia state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional do Jamari (JAM_A02_2011_LiDAR) referem-se ao levantamento realizado na Floresta Nacional do Jamari, estado de Rondônia, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20111117\nLocation: Jamari National Forest, Rondônia State, Brazil\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima CREA-MG 12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 20S\nNumber of tiles: 12\nTotal area: 500ha*\nAverage return density (point per square meter): 25.1ppm²*\nAverage first return density (point per square meter): 15.43ppm²*\nMaximum flight altitude: 850m\nField of view: 11.1°\nScanner specification: Altm 3100 / Optech inc\nScanning frequency: 59.8 Kz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 KHZ\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Jamari, Rondonia, Brasil" }, { "geoLocationBox": { "westBoundLongitude": "-63.01174000000001", "southBoundLatitude": "-9.17369", "eastBoundLongitude": "-63.00263", "northBoundLatitude": "-9.1284690683" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/0WKTSB", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/0WKTSB" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 995 hectares in Santarem II, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Santarém II\" - ST2_A01_2018_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-10-13" }, { "@dateType": "Submitted", "#text": "2022-03-20" }, { "@dateType": "Updated", "#text": "2024-05-17" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "10633780", "1395652320", "5", "1238" ] }, "formats": { "format": [ "application/x-xz", "application/x-xz", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Santarém II (ST2_A01_2018_LiDAR) refers to the survey carried out in Belterra, Santarem and Placas municipalities, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered); \nb. Digital Terrain Model (vendor delivered);\nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Santarém II (ST2_A01_2018_LiDAR) referem-se ao levantamento realizado nos municípios de Belterra, Santarém e Placas, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 17" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20181013\nLocation: Belterra, Santarém and Placas municipalities, Pará state\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 70\nTotal area (ha): 995\nAverage return density (point per square meter): 23.8\nAverage flight altitude (m): 750\nField of view (°): 10º\nScanner specification OPTECH/ ALTM 3100/ 04SEN157\nScanning frequency (Hz): 40\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency (Hz): 1\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency (kHz): 200\nPercentage of flightline overlap (%): >70" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Santarem, Para, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-3.26813", "eastBoundLongitude": "-54.7824662906", "southBoundLatitude": "-3.70357", "westBoundLongitude": "-54.90087" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/17RMMW", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/17RMMW" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 995 hectares in Santarem, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Santarém I\" - ST1_A01_2018_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-10-13" }, { "@dateType": "Submitted", "#text": "2022-03-20" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "10403952", "2142108760", "5", "1242" ] }, "formats": { "format": [ "application/x-xz", "application/x-xz", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Santarém I (ST1_A01_2018_LiDAR) refers to the survey carried out in Belterra, Placas and Rurópolis municipalities, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Santarém I (ST1_A01_2018_LiDAR) referem-se ao levantamento realizado nos municípios de Belterra, Placas e Rurópolis, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 17" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20181013\nLocation: Belterra, Santarém and Placas municipalities, Pará state\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21\nNumber of tiles: 70\nTotal area (ha): 995\nAverage return density (point per square meter): 33.64\nAverage flight altitude (m): 750\nField of view (°): 10º\nScanner specification OPTECH/ ALTM 3100/ 04SEN157\nScanning frequency (Hz): 40\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency (Hz): 1\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency (kHz): 200\nPercentage of flightline overlap (%): >70" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Santarem, Para, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-3.29341", "southBoundLatitude": "-3.72884", "westBoundLongitude": "-54.99476", "eastBoundLongitude": "-54.8763534955" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/1B5ZDD", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1B5ZDD" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Blassioli-Moraes, Maria Carolina" }, "givenName": "Maria Carolina", "familyName": "Blassioli-Moraes", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7569-9985" }, "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" }, { "creatorName": { "@nameType": "Personal", "#text": "Magalhães, Diego Martins" }, "givenName": "Diego Martins", "familyName": "Magalhães", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9757-3726" }, "affiliation": "Escola Superior de Agricultura Luiz de Queiroz - Universidade de São Paulo" } ] }, "titles": { "title": [ "Oviposition behaviour of Anastrepha fraterculus and Ceratitis capitata in response to faeces extracts containing host marking pheromone.", { "@titleType": "AlternativeTitle", "#text": "Comportamento de oviposição de Anastrepha fraterculus e Ceratitis capitata em resposta a extratos de fezes contendo feromônio de marcação de hospedeiro." } ] }, "publisher": "Redape", "publicationYear": "2022", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://lod.nal.usda.gov/nalt/34623", "@subjectScheme": "NAL Agricultural Thesaurus and Glossary", "#text": "Fruit flies" }, { "@schemeURI": "http://lod.nal.usda.gov/nalt/6548", "@subjectScheme": "NAL Agricultural Thesaurus and Glossary", "#text": "Semiochemicals" }, { "@schemeURI": "http://lod.nal.usda.gov/nalt/4395", "@subjectScheme": "NAL Agricultural Thesaurus and Glossary", "#text": "Insects" }, { "@schemeURI": "http://lod.nal.usda.gov/nalt/7812", "@subjectScheme": "NAL Agricultural Thesaurus and Glossary", "#text": "Biochemical Compounds" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Blassioli-Moraes, Maria Carolina" }, "givenName": "Maria Carolina", "familyName": "Blassioli-Moraes", "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Blassioli-Moraes, Maria Carolina" }, "givenName": "Maria Carolina", "familyName": "Blassioli-Moraes", "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2022-02-09" }, { "@dateType": "Updated", "#text": "2022-03-11" }, { "@dateType": "Collected", "#text": "2018-03-01/2021-11-15" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Experimetantal data" }, "sizes": { "size": [ "7351", "7589" ] }, "formats": { "format": [ "text/tab-separated-values", "text/tab-separated-values" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The dataset here presented are the results obtained from arena bioassays experiments with A. fraterculus and the different extracts from feces of males, females and coupels of A. fraterculus. In addition, dataset containing the areas, retention time and kovts index of the compounds identified from GC-MS and GC-FID analysis of the feces extracts from males, females and couples are presented." }, { "@descriptionType": "TechnicalInfo", "#text": "Excell, 2007" }, { "@descriptionType": "TechnicalInfo", "#text": "MassHunter, 10.0" }, { "@descriptionType": "TechnicalInfo", "#text": "ChemStatio Openlab, 2.4" } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": [ { "funderName": "CNPQ", "awardNumber": "152676/2016-3" }, { "funderName": "CNPq", "awardNumber": "304329/2017-7" } ] } } }, { "embrapa_id": "doi:10.48432/1CY2AN", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1CY2AN" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Salman, Ana Karina Dias" }, "givenName": "Ana Karina Dias", "familyName": "Salman", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6594-0667" }, "affiliation": "Embrapa Rondônia" }, { "creatorName": { "@nameType": "Personal", "#text": "Cipriani, Henrique Nery" }, "givenName": "Henrique Nery", "familyName": "Cipriani", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0711-3046" }, "affiliation": "Embrapa Florestas" } ] }, "titles": { "title": [ "Dados de crescimento das espécies arbóreas Bordão de Velho e Eucalipito em área de pastagem.", { "@titleType": "AlternativeTitle", "#text": "Growth data of Bordão de Velho and Eucalyptus tree species in pasture areas." } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=910", "@subjectScheme": "Thesagro", "#text": "agrossilvicultura" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=6369", "@subjectScheme": "Thesagro", "#text": "arborização" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=35", "@subjectScheme": "Thesagro", "#text": "dendometria" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_16097", "@subjectScheme": "Agrovoc", "#text": "silvopastoral systems" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_162", "@subjectScheme": "Agrovoc", "#text": "afforestation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_16209", "@subjectScheme": "Agrovoc", "#text": "forest mensuration" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_8176", "@subjectScheme": "Agrovoc", "#text": "vegetation" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Salman, Ana Karina Dias" }, "givenName": "Ana Karina Dias", "familyName": "Salman", "affiliation": "Embrapa Rondônia" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Salman, Ana Karina Dias" }, "givenName": "Ana Karina Dias", "familyName": "Salman" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2024-01-03" }, { "@dateType": "Updated", "#text": "2024-07-17" }, { "@dateType": "Collected", "#text": "2018-08-14/2022-12-20" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "dados de levantamento" }, "relatedIdentifiers": { "relatedIdentifier": [ { "@relationType": "IsCitedBy", "@relatedIdentifierType": "URL", "#text": "https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157229/1/ipef-sertec-48-060.pdf" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "URL", "#text": "https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157231/1/ipef-sertec-48-061.pdf" } ] }, "sizes": { "size": "61590" }, "formats": { "format": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Com o objetivo de avaliar o crescimento de árvores de eucalipto e do bordão-de-velho em sistemas de integração pecuária-floresta (IPF) em Porto Velho, Rondônia, foi implantada uma unidade de referência tecnológica (URT) no Campo Experimental pertencente à Embrapa Rondônia nas coordenas geográficas (8° 48' 26,61” S 63° 51' 01,68” O), a qual abrange duas áreas (7 ha cada) de pastagem cultivada há mais de 10 anos com Urochloa brizantha ‘Marandu’. Uma das áreas foi arborizada com bordão-de-velho (Samanea tubulosa) e, a outra, com eucalipto (Eucalyptus pellita). O solo foi classificado como Latossolo Vermelho-Amarelo distrófico e o clima como Am (classificação de Köppen). As árvores foram arranjadas em linhas duplas dentro de dois renques centrais de 300 m de comprimento e 10 m de largura, alinhados no sentido NO-SE (azimute de 320º). O espaçamento utilizado foi de 6,0 m entre linhas e 3,5 m entre plantas. Foram feitas medições aos 6, 12, 18, 31, 43, 51 e 60 meses após o plantio. No arquivo Dados_arvores_60 meses.xlsx existem duas planilhas, uma traz informações gerais sobre o período de plantio e número de mudas de cada espécie plantadas, bem como de tratos culturais realizados dentro do período das avaliações; na outra planilha são apresentados os valores das medidas tomadas nas árvores de bordão-de-velho e eucalipto nos diferentes períodos relativos às datas de plantio, de acordo com as seguintes descrições: altura total (Ht) aos 6 meses; Ht e diâmetro a 1,30 m do solo (DAP) aos 12 meses; Ht, DAP e raio da copa (RC) aos 18 meses; a Ht, DAP e os RC no sentido leste-oeste (RC1) e norte-sul (RC2) aos 31 meses; a Ht, DAP, RC1 e RC2 aos 43 meses; os RC1, RC2 e a intensidade de luz (LUX) sob as copas aos 51 messes; e Ht, DAP, altura comercial (Hc) e diâmetro de copa (DC) aos 60 meses após o plantio das árvores. Considerou-se como altura comercial (Hc) a altura do solo até o primeiro galho ou bifurcação." }, { "@descriptionType": "Abstract", "#text": "With the objective of evaluating the growth of eucalyptus and bordão-de-velho trees in livestock-forest integration system (LFI) in Porto Velho, Rondônia, a technological reference unit (TRU) was implemented in the Experimental Field belonging to Embrapa Rondônia in the coordination geographic areas (8° 48' 26.61” S 63° 51' 01.68” W), which covers two areas (7 ha each) of pasture cultivated for more than 10 years with Urochloa brizantha 'Marandu'. One of the areas was afforested with bordão-de-velho (Samanea tubulosa) and the other with eucalyptus (Eucalyptus pellita). The soil was classified as dystrophic Red-Yellow Latosol and the climate as Am (Köppen classification). The trees were arranged in double lines within two central rows 300 m long and 10 m wide, aligned in a NE-SE direction (azimuth of 320º). Planting spacing was 6.0 m between rows and 3.5 m among plants. Measurements were taken at 6, 12, 18, 31, 43, 51 and 60 months after planting. In the file dados_arvores_60 months.xlsx two spreadsheets are presented. One provides general information about the planting period and number of seedlings of each species planted, as well as cultural treatments carried out within the evaluation period; the other spreadsheet presents the values of the measurements taken on the bordão-de-velho and eucalyptus trees in the different periods relative to the planting dates, according to the following descriptions: total height (Ht) at 6 months; Ht and diameter at 1.30 m above the ground (DBH) at 12 months; Ht, DBH and crown radius (CR) at 18 months; Ht, DBH and CR in the east-west (CR1) and north-south (CR2) direction at 31 months; Ht, DBH, CR1 and CR2 at 43 months; CR1, CR2 and light intensity (LUX) under the canopy at 51 months; and Ht, DBH, commercial height (Hc) and crown diameter (DC) at 60 months after planting the trees. Commercial height (Hc) was considered to be the height from the ground to the first branch or fork." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Embrapa", "awardNumber": "44.17.01.007.02.00" } } } }, { "embrapa_id": "doi:10.48432/1KP9L7", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1KP9L7" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 10 hectares in Paragominas, Pará, Brasil in 2013.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Paragominas - Fazenda Nova Neonita\" - PAR_A01_2013_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-07" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "90958", "5", "4099", "358186" ] }, "formats": { "format": [ "text/csv", "application/x-director", "application/zipped-shapefile", "application/pdf" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Paragominas – Fazenda Nova Neonita (PAR_A01_2013_Inventory) refers to the inventory carried out in Paragominas municipality, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\n This dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Paragominas – Fazenda Nova Neonita (PAR_A01_2013_Inventário) refere-se ao inventário realizado no município de Paragominas, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\n Este conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n “Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Area name: Paragominas\nArea code: PAR_A01_2013\nMunicipality: Paragominas\nLocation: Fazenda Neonita\nState: Pará\nCountry: Brazil\nUTM Zone: 23S\n**Forest Inventory Information**\nTotal number of plots: 10 transects\nPlot dimensions: 20m X 500m\nPlot area: 10000m²\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 2m x 500m\nSub-plot area: 1000m²\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 10ha\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-47.5121474981", "southBoundLatitude": "-3.32254", "westBoundLongitude": "-47.5294", "northBoundLatitude": "-3.30771" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/1U6JZ5", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1U6JZ5" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 87 hectares in Tapajós, Belterra, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "LiDAR dataset for \"Floresta Nacional do Tapajós\" - TAP_A06_2018_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-10-15" }, { "@dateType": "Submitted", "#text": "2022-02-23" }, { "@dateType": "Updated", "#text": "2023-11-14" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "834584", "159576336", "5", "8632" ] }, "formats": { "format": [ "application/x-xz", "application/x-xz", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional do Tapajós (TAP_A06_2018_LiDAR) refers to the survey carried out in Tapajós National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional do Tapajós (TAP_A06_2018_LiDAR) referem-se ao levantamento realizado na Floresta Nacional do Tapajós, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 17" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20181015\nLocation: Tapajós National Forest, Belterra municipality, Para state\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 3\nTotal area (ha): 87\nAverage return density (point per square meter): 29.12\nAverage flight altitude (m): 750\nField of view (°): 10\nScanner specification OPTECH/ ALTM 3100/ 04SEN157\nScanning frequency (Hz): 40\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency (Hz): 1\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency (kHz): 200\nPercentage of flightline overlap (%): >70" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "eastBoundLongitude": "-54.94777", "westBoundLongitude": "-54.97759", "southBoundLatitude": "-3.03161", "northBoundLatitude": "-3.0031197369" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/1UGJPZ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1UGJPZ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 579.66 hectares in Tapajós, Belterra, Pará, Brasil in 2008.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Floresta Nacional do Tapajós \" - TAP_A04_2008_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2008-06-25" }, { "@dateType": "Submitted", "#text": "2022-02-19" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "37702", "398510080" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional de Tapajos (TAP_A04_2008_LIDAR) refers to initial airborne survey carried out in 2008 at Tapajós National Forest, Pará state, Brazil, funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.) and NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.). The TAP_A04_2008 survey area is a selectively logged site that encompasses the km83 LBA eddy flux tower which was used for monitoring the effects of selective logging on carbon balance of the forest (Miller et al., 2011). These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries;\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional de Tapajós (TAP_A04_2008_LIDAR) referem-se ao levantamento aéreo inicial realizado em 2008 na Floresta Nacional do Tapajós, estado do Pará, Brasil, financiado por doações da NASA (#NNX09AI33G para M. Lefsky et al.) e NSF (#0721140 para S. Saleska, G.G. Parker, Y. Shimabukuro et al.). A área de pesquisa TAP_A04_2008 é um local de extração seletiva que abrange a torre de fluxo parasita Km83 LBA que foi usada para monitorar os efeitos da extração seletiva de madeira no balanço de carbono da floresta (Miller et al., 2011). Esses dados foram incorporados ao esforço integrado mais amplo de Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e pelo Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20080625 and 20080703\nLocation: Tapajós National Forest, Belterra municipality, Pará state, Brazil\nVendor: ESTEIO Engenharia e Aerolevantamentos S.A.\nTechnician responsible/CREA: Valther Xavier Aguiar – CREA/PR 18491-D and Silas Sallem Filho – CREA/PR 22.584 – D\nDatum: WGS 84\nUTM Zone coordinate system: 21S\nNumber of tiles: 4\nTotal area: 579.66ha\nAverage return density (point per square meter): 14.24ppm2\nAverage first return density (point per square meter): 11ppm2\nAverage flight altitude: 732m\nField of view: 24°\nScanner specification: LASER LEICA, ALS-50 PHASE II, SN 52\nScanning frequency: 58Hz\nGNSS Instrument Specification: Novatel OEMV4/OEMV\nGNSS Frequency: 2 Hz\nIMU Instrument Specification: iMAR, LN200\nIMU Frequency: 200 kHz\nPercentage of flightline overlap: 27%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "eastBoundLongitude": "-54.94777", "westBoundLongitude": "-54.97759", "southBoundLatitude": "-3.03161", "northBoundLatitude": "-3.0031197369" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/1VJD45", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1VJD45" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Nogueira, Sandra Furlan" }, "givenName": "Sandra Furlan", "familyName": "Nogueira", "nameIdentifier": { "@SchemeURI": "http://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6547-7297" }, "affiliation": "Embrapa Meio Ambiente" }, { "creatorName": { "@nameType": "Personal", "#text": "Bayma-Silva, Gustavo" }, "givenName": "Gustavo", "familyName": "Bayma-Silva", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5312-6609" }, "affiliation": "Embrapa Meio Ambiente" }, { "creatorName": { "@nameType": "Personal", "#text": "Grego, Célia Regina" }, "givenName": "Célia Regina", "familyName": "Grego", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-5603-2736" }, "affiliation": "Embrapa Agricultura Digital" }, { "creatorName": { "@nameType": "Personal", "#text": "Santos, Patrícia Menezes" }, "givenName": "Patrícia Menezes", "familyName": "Santos", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-8753-0263" }, "affiliation": "Embrapa Pecuária Sudeste" }, { "creatorName": { "@nameType": "Personal", "#text": "Pezzopane, Jose Ricardo Macedo" }, "givenName": "Jose Ricardo Macedo", "familyName": "Pezzopane", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5462-6090" }, "affiliation": "Embrapa Pecuária Sudeste" } ] }, "titles": { "title": [ "Forage mass production in integrated, extensive and intensive livestock systems in the central region of the State of São Paulo (Massa de forragem em sistemas pecuários integrados, extensivos e intensivos na região central do Estado de São Paulo)", { "@titleType": "Subtitle", "#text": "Forage mass data from field monitoring and estimation by spectral agrometeorological model" } ] }, "publisher": "Redape", "publicationYear": "2022", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_36108", "@subjectScheme": "Agrovoc", "#text": "Forage" }, "Forragem", "Forage mass", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_36761", "@subjectScheme": "Agrovoc", "#text": "Satellite imagery" }, "Safer agrometeorological model", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_2741", "@subjectScheme": "Agrovoc", "#text": "Evapotranspiration" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "Remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_26062", "#text": "Sensor remoto" }, "Digital Agriculture", "Agricultura digital", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_8689", "@subjectScheme": "Agrovoc", "#text": "Agrometeorology" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_8689", "@subjectScheme": "Agrovoc", "#text": "Agrometeorologia" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_2843", "#text": "Feeds" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_4788", "@subjectScheme": "Agrovoc", "#text": "Methods" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_330834", "@subjectScheme": "Agrovoc", "#text": "Activities" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Nogueira, Sandra Furlan" }, "givenName": "Sandra Furlan", "familyName": "Nogueira", "affiliation": "Embrapa Meio Ambiente" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Nogueira, Sandra Furlan" }, "givenName": "Sandra Furlan", "familyName": "Nogueira", "affiliation": "Embrapa Meio Ambiente" }, { "@contributorType": "Distributor", "contributorName": { "@nameType": "Personal", "#text": "Nogueira, Sandra Furlan" }, "givenName": "Sandra Furlan", "familyName": "Nogueira", "affiliation": "Embrapa Meio Ambiente" } ] }, "dates": { "date": [ { "@dateType": "Issued", "#text": "2022-01-18" }, { "@dateType": "Created", "#text": "2022-01-18" }, { "@dateType": "Submitted", "#text": "2022-01-18" }, { "@dateType": "Updated", "#text": "2022-03-25" }, { "@dateType": "Collected", "#text": "2018-01-09/2019-11-13" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Survey data" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "ISSN", "#text": "1677-8464" } }, "sizes": { "size": "4332032" }, "formats": { "format": "application/vnd.ms-excel" }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The forage mass is information of great importance in the management of pastures and animals in productive systems. Unfortunately, there are still no well-established and well-founded methodologies for the estimation of forage mass values ​​on a large scale, which allow its wide adoption in livestock systems and improve decision-making and management processes. In this database, we present three spreadsheets with information on the availability of forage mass in three different livestock systems: integration crop-livestock, extensive and intensive. Heights and masses (dry and fresh) are measurements taken in the field and estimates are made using the SAFER algorithm. Methods and data collection and estimates for the project study areas are described in Bayma et al. (2019) and Nogueira et al. (2021).\nThe spreadsheet \"Forage_Mass_Data_LIV_FUT\" has six tabs: 1) \"Sampling_points_ICLS\" tab with a high resolution image of the evaluated Integrated crop-livestock systems (5 and 6) and the data sampling points (A01 to A50); 2) \"Forrage_Mass_ICLS\" tab is composed of columns with the following information: Sampiling data (January 2018 to November 2019), Livestock system (ICL), ICL System Repetition (repetitions 5 and 6 of the ICL System), Paddock number (6 paddocks in each repetition - from 1 to 6), Rotation management (paddocks can be in Grazing, pre-grazing, post-grazing or Grass growth), Sampling points (A01 to A50), Latitude, Longitude, Grass height (mean of 5 heights per point - in cm), Total Dry Mass (kg ha-1), Dry Green Mass (kg ha-1), Total Fresh Mass (kg ha-1), Fresh Green Mass (kg ha-1), Fresh Dead Mass (kg ha-1), Fresh Green Mass Estimation by Safer Model (kg ha-1 day-1), Forage growing days in rotation cycle and Forage growth days and Fresh Green Mass Estimation by Safer Model (kg ha-1 month-1); 3) \"Sampling_points_Extensive\" tab with a high resolution image of the extensive livestock systems evaluated (7 and 8) and the data sampling points (B01 to B40); 4) \"Forage_Mass_Extensive\" tab is composed of columns with the following information: Sampiling data (January 2018 to November 2019), Livestock system (Extensive), Extensive System Repetition (repetitions 7 and 8 of the Extensive System), Sampling points (B01 to B40), Latitude, Longitude, Grass height (mean of 5 heights per point - in cm), Total Dry Mass (kg ha-1), Dry Green Mass (kg ha-1), Total Fresh Mass (kg ha-1), Fresh Green Mass (kg ha-1), Fresh Dead Mass (kg ha-1), Fresh Green Mass Estimation by Safer Model (kg ha-1 day-1), Forage growing days in rotation cycle and Forage growth days and Fresh Green Mass Estimation by Safer Model (kg ha-1 month-1); 5) \"Sampling_points_Intensive\" tab with a high resolution image of the Intensive livestock systems evaluated (9 and 10) and the data collection points (C01 to C45) and 6) \"Forage_Mass_Intensive\" tab is composed of columns with the following information : Sampiling data (January 2018 to November 2019), Livestock system (Intensive), Intensive System Repetition (repetitions 9 and 10 of the Intensive System), Paddock number (6 paddocks in each repetition - from 1 to 6), Rotation management (paddocks can be in Grazing, pre-grazing, post-grazing or Grass growth), Sampling points (C01 to C45), Latitude, Longitude, Grass height (mean of 5 heights per point - in cm), Total Dry Mass (kg ha-1), Dry Green Mass (kg ha-1), Total Fresh Mass (kg ha-1), Fresh Green Mass (kg ha-1), Fresh Dead Mass (kg ha-1), Fresh Green Mass Estimation by Safer Model (kg ha-1 day-1), Forage growing days in rotation cycle and Forage growth days and Fresh Green Mass Estimation by Safer Model (kg ha-1 month-1)." }, { "@descriptionType": "TechnicalInfo", "#text": "ArcGis, 10" }, { "@descriptionType": "SeriesInformation", "#text": "The improvement of the decision-making process can contribute to increasing the sustainability of beef cattle production systems in Central Brazil. Mathematical simulation models can be applied to systematize and integrate information and can be incorporated into monitoring and decision-making support tools accessible to technicians, producers, and public policymakers.\nThe technologies and solutions that will be developed by the “Livestock of the Future” Project were defined based on a demand prospecting study, carried out with the help of techniques for engaging with “stakeholders” and managing project portfolios. The general objective of the project is to develop tools to support decision-making in the management and transfer of technologies for pastures, aligned with the expectations and needs of stakeholders, aiming to increase the sustainability of Brazilian animal production systems." } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Jaguariúna, São Paulo State" } }, "fundingReferences": { "fundingReference": { "funderName": "EMBRAPA", "awardNumber": "22.16.05.021.00.00" } } } }, { "embrapa_id": "doi:10.48432/1YYF9Y", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/1YYF9Y" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2621-7745" }, "affiliation": "Projeto Embrapa/FAPESP" }, { "creatorName": { "@nameType": "Personal", "#text": "Bolfe, Édson Luis" }, "givenName": "Édson Luis", "familyName": "Bolfe", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7777-2445" }, "affiliation": "Embrapa Agricultura Digital" }, { "creatorName": { "@nameType": "Personal", "#text": "Silva, Lucas Augusto Pereira da" }, "givenName": "Lucas Augusto Pereira da", "familyName": "Silva", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5504-9029" }, "affiliation": "Universidade Federal de Uberlândia" }, { "creatorName": { "@nameType": "Personal", "#text": "Sano, Edson Eyji" }, "givenName": "Edson Eyji", "familyName": "Sano", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5760-556X" }, "affiliation": "Embrapa Cerrados" }, { "creatorName": { "@nameType": "Personal", "#text": "Bettiol, Giovana Maranhão" }, "givenName": "Giovana Maranhão", "familyName": "Bettiol", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-0619-3061" }, "affiliation": "Embrapa Cerrados" } ] }, "titles": { "title": "Mapping agricultural intensification in the Brazilian Savanna: a machine learning approach and harmonized data from Landsat Sentinel-2." }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Earth and Environmental Sciences", "Other", "Multisensor", "HLS", { "@schemeURI": "https://lod.nal.usda.gov/nalt/5260", "@subjectScheme": "NALT", "#text": "Agriculture" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/35112", "@subjectScheme": "NALT", "#text": "Remote Sensing" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/19641", "@subjectScheme": "NALT", "#text": "Cerrado" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "affiliation": "Projeto Embrapa/FAPESP" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Bolfe, Édson Luis" }, "givenName": "Édson Luis", "familyName": "Bolfe", "affiliation": "Embrapa Agricultura Digital" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": "Sanches, Ieda Del'Arco" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Vicente, Luiz Eduardo" }, "givenName": "Luiz Eduardo", "familyName": "Vicente" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-05-10" }, { "@dateType": "Updated", "#text": "2023-07-04" }, { "@dateType": "Collected", "#text": "2022-06-06/2022-06-09" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Remote sensing data" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.3390/ijgi12070263" } }, "sizes": { "size": [ "5632694", "3444659", "4279450", "5554", "5537", "5637", "1939169", "1194071", "1519210", "2155744", "1322790", "1615693", "2002981", "1215285", "1535755", "2699504", "1686845", "2054591", "901337", "561070", "679910", "927830", "579409", "709512", "874281", "548822", "669948", "159388", "112081080", "4352181", "4721319", "112081080", "4346801", "4684004", "5506919", "4436742", "4650173", "112081080", "4383036", "4676551", "112081080", "4367217", "4489787", "5558665", "4388082", "4663531", "112081080", "4468818", "4772396", "112081080", "4430511", "4760205", "5597411", "4456919", "4244452", "226538", "122918", "89428", "130580", "5559", "5597", "5674", "106907", "70716", "109892", "113797", "73757", "131259", "107267", "73739", "110166", "11202", "6024", "6297", "578665", "352748", "457630", "5791", "5793", "5889", "261891", "165499", "204920", "273530", "169648", "213971", "253502", "172067", "194705" ] }, "formats": { "format": [ "application/gzip", "application/gzip", "application/gzip", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/pdf", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "application/pdf", "application/gzip", "application/gzip", "application/gzip", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "application/gzip", "application/gzip", "application/gzip", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip", "application/gzip" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "This dataset is related to the paper \"Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach and Harmonized Data from Landsat Sentinel-2\". The study aimed to analyze the performance of the machine learning algorithms Random Forest (RF), Artificial Neural Networks (ANN), and Extreme Gradient Boosting (XGBoost), fed with the time-series of spectral indices NDVI, NDWI, and SAVI from NASA Harmonized Landsat Sentinel-2 (HLS), in detecting intensification (number of cycles) and crop types in Sorriso municipality, Mato Grosso State, in the 2021-2022 crop season, using hierarchical classification in three levels. At Level 1, the target classes were temporary crops (1), native vegetation and silviculture (2), and pastures (3). At Level 2, double cropping (1), single cropping (2), and triple cropping (3). At Level 3, the aim was to identify the second-season crops cultivated in areas identified as double cropping: beans (1), corn (2), cotton (3), and other crops (4). The files available in this dataset are:\n- Vector files, in shapefiles format, with ground samples obtained during fieldwork in Sorriso, Mato Grosso, between 6-9 June 2022. The files are compressed by level, with the names \"Samples_LevelX.zip\" in the \"Vector\" folder.\n- Worksheets for modeling, in xlsx format, containing the values of the time series of each spectral index, at each classification level, for each sampling point. The files are named \"DB_index_LevelX.xlsx\" (e.g., \"DB_NDVI_Level1\"). There is also a PDF file (Order_of_Layers.pdf) to identify the explanatory variables according to the layer order of the original raster stack (e.g., \"NDVI_1\" is NDVI from September 3rd, 2021). These files are in the \"Dataset\" folder with subfolders named by level (e.g., \"Level_1\").\n- The R scripts for running the models, getting confusion matrices, and accuracy metrics. The files are named \"ALGORITHM_LevelX.R\" (e.g., \"ANN_Level1.R\" or \"RF_Level2.R\"). In each script, all the modeling processes of all spectral indices are present. For example, the file \"ANN_Level1.R\" contains the models with the variables NDVI, SAVI, NDWI, and the three combined (AllVI).\n- The results of each model, in 'rds' format (use R to read it). The files are named \"ALGORITHM_index_model_LevelX.rds\" (e.g., \"XGBoost_NDVI_model_Level2.rds\") and allocated in the \"Results\" folder.\n- The 27 final maps resulted from spatial predictions in TIFF format (e.g., \"Map_ANN_NDVI_Level3_Final.tif\"). The files are in the \"Final_Maps\" folder.\nEach file contains a brief description, and we encourage users to read the associated paper for further processing details." }, { "@descriptionType": "TechnicalInfo", "#text": "R for Windows, 4.3.0" }, { "@descriptionType": "TechnicalInfo", "#text": "RStudio, 2023.03.0-386" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "southBoundLatitude": "-13,642582", "westBoundLongitude": "-56,122136", "northBoundLatitude": "-11,696431", "eastBoundLongitude": "-55,031232" } } }, "fundingReferences": { "fundingReference": { "funderName": "Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP", "awardNumber": "2019/26222-6" } } } }, { "embrapa_id": "doi:10.48432/2F0TV1", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/2F0TV1" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 671 hectares in Tapajós, Belterra, Pará, Brasil in 2012.", { "@titleType": "AlternativeTitle", "#text": "LiDAR dataset for \"Floresta Nacional do Tapajós\" - TAP_A03_2012_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2012-07-30" }, { "@dateType": "Submitted", "#text": "2022-02-19" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "37995", "1060894720" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional do Tapajós (TAP_A03_2012_LiDAR) refers to the survey carried out in Tapajós National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered);\nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional do Tapajós (TAP_A03_2012_LiDAR) referem-se ao levantamento realizado na Floresta Nacional do Tapajós, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20120730 and 20120904\nLocation: Tapajós National Forest, Pará State, Brazil\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima CREA-MG 12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 17\nTotal area: 671ha\nAverage return density (point per square meter): 38.9ppm²*\nAverage first return density (point per square meter): 23.9ppm²*\nMaximum flight altitude: 850m\nField of view: 11.1°\nScanner specification ALTM 3100\nScanning frequency: 59.8 Kz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 kHz\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "southBoundLatitude": "-3.15883", "westBoundLongitude": "-54.96164", "eastBoundLongitude": "-54.96164", "northBoundLatitude": "-3.1088982801" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/38F7MN", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/38F7MN" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria", "affiliation": "Embrapa Agricultura Digital" }, { "creatorName": { "@nameType": "Personal", "#text": "Bolfe, Édson Luis" }, "givenName": "Édson Luis", "familyName": "Bolfe", "affiliation": "Embrapa Agricultura Digital" }, { "creatorName": { "@nameType": "Personal", "#text": "Sano, Edson Eyji" }, "givenName": "Edson Eyji", "familyName": "Sano", "affiliation": "Embrapa Cerrados" }, { "creatorName": { "@nameType": "Personal", "#text": "Bayma, Gustavo" }, "givenName": "Gustavo", "familyName": "Bayma", "affiliation": "Embrapa Meio Ambiente" }, { "creatorName": { "@nameType": "Personal", "#text": "Massruhá, Sílvia Maria Fonseca" }, "givenName": "Sílvia Maria Fonseca", "familyName": "Massruhá", "affiliation": "Embrapa - Empresa Brasileira de Pesquisa Agropecuaria" }, { "creatorName": { "@nameType": "Personal", "#text": "Oliveira, Aryeverton Fortes de" }, "givenName": "Aryeverton Fortes de", "familyName": "Oliveira", "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": "Dataset for Potential of Agricultural Expansion in Degraded Pasture Lands in Brazil based on Geospatial Databases." }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", "degraded pasture", { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_40da9d3b.html", "@subjectScheme": "agrovoc", "#text": "spatial analysis" }, { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_37899.html", "@subjectScheme": "agrovoc", "#text": "land use planning" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria", "affiliation": "Embrapa Agricultura Digital" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria", "affiliation": "Embrapa Agricultura Digital" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2024-01-26" }, { "@dateType": "Updated", "#text": "2024-02-01" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset" }, "sizes": { "size": [ "544", "670", "489", "988", "524447", "4362", "925157729", "3625" ] }, "formats": { "format": [ "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "text/tab-separated-values", "text/tab-separated-values", "application/gzip", "text/markdown" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "This is the final data (raster and tabulated forms) from our analysis which evaluates the Agricultural Potential for pasture areas in Brazil, according to their vegetative vigor and degradation evidence. These results were used in the \"Potential of Agricultural Expansion in Degraded Pasture Lands in Brazil based on Geospatial Databases\" study." }, { "@descriptionType": "Other", "#text": "A detailed description of the dataset creation is given in Readme.md and accompanying R code.\n\nThis dataset is derived from public sources with varying spatial resolutions and accuracy levels. The data resolution is 30m and is intended for regional assessments at the state or, at most, municipal level, offering insights into broader land-use patterns. The inherent limitations of the data due to it's multiple spatial resolutin and accuracy levels makes it unsuitable for detailed analysis at the farm level. Using this data for individual farm planning or decision-making is strongly discouraged, as it could lead to inaccurate conclusions and potentially detrimental consequences. The authors assume no responsibility for any misuse or misinterpretation of the data. This data is not intended for commercial purposes or resale." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Embrapa - Empresa Brasileira de Pesquisa Agropecuaria" } } } }, { "embrapa_id": "doi:10.48432/39ZANH", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/39ZANH" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Souza Junior, Manoel Teixeira" }, "givenName": "Manoel Teixeira", "familyName": "Souza Junior", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-6590-9333" }, "affiliation": "Embrapa Agroenergia" }, { "creatorName": { "@nameType": "Personal", "#text": "Leão, André Pereira" }, "givenName": "André Pereira", "familyName": "Leão", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-8245-0632" }, "affiliation": "Embrapa Agroenergia" }, { "creatorName": { "@nameType": "Personal", "#text": "Sousa, Carlos Antônio Ferreira de" }, "givenName": "Carlos Antônio Ferreira de", "familyName": "Sousa", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-3497-0761" }, "affiliation": "Embrapa Meio Norte" } ] }, "titles": { "title": [ "Salt stress-responsive genes from the genomes of Portulaca oleracea (Purslane) and Gliricidia sepium (Gliricidia).", { "@titleType": "AlternativeTitle", "#text": "Genes responsivos ao estresse salino dos genomas de Portulaca oleracea (Purslane) e Gliricidia sepium (Gliricidia)." } ] }, "publisher": "Redape", "publicationYear": "2022", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35768", "@subjectScheme": "Agrovoc", "#text": "stress abiótico" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6751", "@subjectScheme": "Agrovoc", "#text": "salinidade" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24078", "@subjectScheme": "Agrovoc", "#text": "tolerância ao sal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24682", "@subjectScheme": "Agrovoc", "#text": "Portulaca oleracea" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3278", "@subjectScheme": "Agrovoc", "#text": "Gliricidia sepium" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_27813", "@subjectScheme": "Agrovoc", "#text": "RNA sequence" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_620c5378", "@subjectScheme": "Agrovoc", "#text": "transcriptome" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Souza Junior, Manoel Teixeira" }, "givenName": "Manoel Teixeira", "familyName": "Souza Junior", "affiliation": "Embrapa Agroenergia" }, { "@contributorType": "Producer", "contributorName": "Embrapa Agroenergia", "affiliation": "Embrapa" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2022-10-06" }, { "@dateType": "Updated", "#text": "2022-11-03" }, { "@dateType": "Collected", "#text": "2018-01-01/2019-12-31" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "RNA-Seq produced data" }, "relatedIdentifiers": { "relatedIdentifier": [ { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/tpg2.20182" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1007/s43657-022-00061-2" } ] }, "sizes": { "size": [ "15551", "63711", "22496" ] }, "formats": { "format": [ "text/tab-separated-values", "text/tab-separated-values", "application/pdf" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Biotechnology-Based Assets – Saline stress-responsive genes from the genomes of Portulaca oleracea (Purslane) and Gliricidia sepium (Gliricidia), ready to be cloned into a binary vector and later validated in a model plant or target plant to verify the ability to confer salinity tolerance by overexpression.\nThe transcriptomics databases (RNASeq) of Portulaca oleracea (Beldroega) and Gliricidia sepium (Gliricidia), delivered to the Embrapa Agroenergia Pre-Technology Showcase in 2019 and 2020, underwent a selection process to identify saline stress-responsive genes. The databases were within the scope of the SI/CI \"Establish a database of phenomics, genomics, transcriptomics and metabolomics of Palm Oil, focusing on the generation of information related to the response of this culture to abiotic and biotic stresses.\"\nThe selection process led to 298 genes in purslane and 85 in gliricidia. This set of 383 saline stress-responsive genes constitutes a collection of Biotechnology-Based Assets to be validated for their ability to confer tolerance to this abiotic stress.\nInitially, we developed new versions of the Reference Transcripts (TR) of these two species using their respective datasets deposited in the SRA (Sequence Read Archive) database of the NCBI (National Center for Biotechnology Information). For more information about these two data sets, see:\na) https://doi.org/10.1002/tpg2.20182\nb) https://doi.org/10.1007/s43657-022-00061-2\nWe applied the bioinformatics platform OmicsBox v1.3 (BioBam, 2019) to perform the transcriptomics analysis. The two TRs and the respective sets of fastq files used for their production were subjected to differential expression analysis using edgeR v3.28.0 software (Robinson et al., 2010) in the context of OmicsBox v1.3 (BioBam, 2019)." }, { "@descriptionType": "Abstract", "#text": "Ativos de Base Biotecnológica – Genes responsivos a estresse salino, oriundos dos genomas de Portulaca oleracea (Beldroega) e Gliricidia sepium (Gliricidia), prontos para serem clonados em vetor binário e posteriormente validados em planta modelo e/ou planta alvo para averiguar capacidade de conferir tolerância a salinidade mediante superexpressão.\nFoi realizado um processo de seleção de genes responsivos ao estresse salino nos Bancos de Dados de transcritômica (RNASeq) de Portulaca oleracea (Beldroega) e Gliricidia sepium (Gliricidia) entregues à Vitrine de Pré-Tecnologias da Embrapa Agroenergia em 2019 e 2020, respectivamente - resultados entregues no âmbito da SI/CI \"Estabelecer banco de dados de fenômica, genômica, transcritômica e metabolômica de Palma de Óleo, com foco na geração de informações relacionadas à resposta desta cultura a estresses abióticos e bióticos\". Este processo levou à seleção de 298 genes em beldroega e 85 em gliricidia. Este conjunto de 383 genes responsivos ao estresse salino constitui um acervo de Ativos de Base Biotecnológica a serem validados quanto à capacidade de conferir tolerância a este importante estresse abiótico.\nInicialmente, foram geradas novas versões do Transcritomas de Referência (TR) destas duas espécies, utilizando seus respectivos conjuntos de dados depositados no banco de dados SRA (Sequence Read Archive) do NCBI (National Center for Biotechnology Information). Para maiores informações acerca destes dois conjuntos de dados, vide:\na) https://doi.org/10.1002/tpg2.20182\nb) https://doi.org/10.1007/s43657-022-00061-2\nToda a análise de transcritômica foi realizada na plataforma de bioinformática OmicsBox v1.3 (BioBam, 2019). Os dois TRs e os respectivos conjuntos de fastq files utilizados para a produção dos mesmos foram submetidos a análise de expressão diferencial utilizando o software edgeR v3.28.0 (Robinson et al., 2010) no contexto da OmicsBox v1.3 (BioBam, 2019)." }, { "@descriptionType": "TechnicalInfo", "#text": "OmicsBox, 1.3" } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "FINEP", "awardNumber": "01.13.0315.00" } } } }, { "embrapa_id": "doi:10.48432/3AE4ZL", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/3AE4ZL" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 340 hectares in Tapajós, Belterra, Pará, Brasil in 2012.", { "@titleType": "AlternativeTitle", "#text": "LiDAR dataset for \"Floresta Nacional do Tapajós\" - TAP_A02_2012_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2012-07-31" }, { "@dateType": "Submitted", "#text": "2022-02-16" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "27898", "498452480" ] }, "formats": { "format": [ "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional do Tapajós (TAP_A02_2012_LiDAR) refers to the survey carried out in Tapajós National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered);\nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional do Tapajós (TAP_A02_2012_LiDAR) referem-se ao levantamento realizado na Floresta Nacional do Tapajós, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20120731 and 20120904\nLocation: Tapajós National Forest, Pará State, Brazil\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima CREA-MG 12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 8\nTotal area: 340ha\nAverage return density (point per square meter): 36.9ppm²*\nAverage first return density (point per square meter): 23.11ppm²*\nMaximum flight altitude: 850m\nField of view: 11.1°\nScanner specification ALTM 3100\nScanning frequency: 59.8 Kz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 kHz\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "southBoundLatitude": "-3.1316300000000004", "westBoundLongitude": "-54.99167", "northBoundLatitude": "-3.105141843", "eastBoundLongitude": "-54.977" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/3CJ863", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/3CJ863" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Lima, Roberval Monteiro Bezerra de" }, "givenName": "Roberval Monteiro Bezerra de", "familyName": "Lima", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-9450-2209" }, "affiliation": "Embrapa Florestas" } }, "titles": { "title": [ "Produção e crescimento da Bertholletia excelsa em plantios no Amazonas.", { "@titleType": "AlternativeTitle", "#text": "Production and growth of Bertholletia excelsa in plantations in Amazonas." } ] }, "publisher": "Redape", "publicationYear": "2025", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9410", "@subjectScheme": "Agrovoc", "#text": "castanha-do-brasil" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_886", "@subjectScheme": "Agrovoc", "#text": "Bertholletia excelsa" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3119", "@subjectScheme": "Agrovoc", "#text": "fruto (botânica)" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_32372", "@subjectScheme": "Agrovoc", "#text": "Amazônia" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_8171", "@subjectScheme": "Agrovoc", "#text": "produto vegetal" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Lima, Roberval Monteiro Bezerra de" }, "givenName": "Roberval Monteiro Bezerra de", "familyName": "Lima", "affiliation": "Embrapa Florestas" }, { "@contributorType": "Producer", "contributorName": "Embrapa Amazônia Ocidental", "affiliation": "Embrapa" }, { "@contributorType": "Producer", "contributorName": "Embrapa Florestas", "affiliation": "Embrapa" }, { "@contributorType": "DataCurator", "contributorName": { "@nameType": "Personal", "#text": "Simão, Victor Paulo Marques" }, "givenName": "Victor Paulo Marques", "familyName": "Simão" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Souza, Cintia Rodrigues de" }, "givenName": "Cintia Rodrigues de", "familyName": "Souza" }, { "@contributorType": "ProjectMember", "contributorName": "Guimarães, Zilza Thayane Matos" }, { "@contributorType": "ResearchGroup", "contributorName": { "@nameType": "Personal", "#text": "Manejo e silvicultura de florestas cultivadas, agrofloresta e sistemas agrosilvopastoris na Amazônia" }, "givenName": "agrofloresta e sistemas agrosilvopastoris na Amazônia", "familyName": "Manejo e silvicultura de florestas cultivadas" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2025" }, { "@dateType": "Submitted", "#text": "2025-08-11" }, { "@dateType": "Updated", "#text": "2025-12-04" }, { "@dateType": "Collected", "#text": "2024-01-01/2025-04-15" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados observacionais" }, "sizes": { "size": [ "6152", "53114", "532", "7555", "778240", "10609", "5758", "72168", "908954", "422013", "49698" ] }, "formats": { "format": [ "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/octet-stream", "text/tab-separated-values", "text/tab-separated-values", "application/pdf", "application/pdf", "text/tab-separated-values", "text/tab-separated-values" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Este banco de dados faz parte das atividades de pesquisa do projeto “Silvicultura, domesticação e manejo da castanheira como estratégia para fomentar a bioeconomia regional e sua valoração em ambiente produtivo familiar e empresarial em Amaturá, Anori, Barreirinha, Beruri, Itacoatiara e Tapauá no estado do Amazonas”. O projeto é financiado pela FAPEAM- Fundação de Pesquisa do estado Amazonas, desenvolvido em parceria com a empresa Agropecuária Aruanã Ltda. Os dados visam atender ao objetivo de Identificar e selecionar materiais com alta produção de frutos e teor de selênio em amêndoas da castanha-do-brasil em áreas de plantio. Foram Selecionadas, identificadas e georreferenciadas 54 matrizes de 5 clones de castanheiras estabelecidas em plantios de 30-40 anos de idade. Foi realizado o monitoramento da produção de frutos da safra de 2024 e 2025 até o momento, onde foram registrados os frutos produzidos por cada árvore e foram coletados para avaliação da biometria dos frutos e sementes um total de 455 frutos dessas matrizes. Foi criado um banco de dados em SQL (structural query language) com 8 tabelas: biometria_frutos (579 entradas); fenotípica_discreta (59 entradas); frutos_produção (259 entradas); GPS_matrizes (67 entradas); arvore (65 entradas); clone (6 entradas); semente (5821 entradas); e var_quantitativas (623 entradas) Conforme previsto ainda será coletado e tratado os dados da próxima safra 2026." }, { "@descriptionType": "TechnicalInfo", "#text": "DB Browser for SQLite (DB4S), 3.12.2" } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Itacoatiara, AM; Curitiba, PR" } }, "fundingReferences": { "fundingReference": [ { "funderName": "Fundação de Amparo à Pesquisa do Estado do Amazonas" }, { "funderName": "Embrapa", "awardNumber": "20.24.00.170.00.00" }, { "funderName": "Fundação de Amparo à Pesquisa do Estado do Amazonas", "awardNumber": "01.02.016301.04754/2022-96" } ] } } }, { "embrapa_id": "doi:10.48432/3SK6JK", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/3SK6JK" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 22 hectares in Cauaxi, Paragomina, Pará, Brasil in 2014 (20x500 m transects).", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Fazenda Cauaxi\" - CAU_A01_2014_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-07" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "474021", "462215", "5", "7678" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Fazenda Cauaxi (CAU_A01_2014_Inventory) refers to the inventory carried out in Paragominas municipality, Pará state, Brazil to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Fazenda Cauaxi (CAU_A01_2014_Inventário) refere-se ao inventário realizado no município de Paragominas, estado do Pará, Brasil, para servir de calibração e validação dos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n “Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Fazenda Cauaxi\nArea code: CAU_A01_2014\nMunicipality: Paragominas\nLocation: Fazenda Rio Capim\nState: Pará\nCountry: Brazil\nUTM Zone: 22S\n**Forest Inventory Information**\nTotal number of plots: 22 transects\nPlot dimensions: 20m X 500m\nPlot area: 10000m²\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 2m x 500m\nSub-plot area: 1000m²\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 22ha\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "westBoundLongitude": "-48.49756", "southBoundLatitude": "-3.7638300000000005", "eastBoundLongitude": "-48.47146", "northBoundLatitude": "-3.7302126088" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/3TGPHF", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/3TGPHF" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Lopes, Maria Teresa do Rego" }, "givenName": "Maria Teresa do Rego", "familyName": "Lopes", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-8814-1072" }, "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária" }, { "creatorName": { "@nameType": "Personal", "#text": "Barreto, Ana Lúcia Horta" }, "givenName": "Ana Lúcia Horta", "familyName": "Barreto", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-2412-5663" }, "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária" }, { "creatorName": { "@nameType": "Personal", "#text": "Pereira, Fábia de Mello" }, "givenName": "Fábia de Mello", "familyName": "Pereira", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6696-1726" }, "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária" }, { "creatorName": { "@nameType": "Personal", "#text": "Souza, Bruno de Almeida" }, "givenName": "Bruno de Almeida", "familyName": "Souza", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-3692-3993" }, "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária" } ] }, "titles": { "title": "Infestação do ácaro Varroa destructor em colônias de abelhas Apis mellifera no Piauí, no período 2018 a 2022." }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24313", "@subjectScheme": "Agrovoc", "#text": "Varroase" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_529", "@subjectScheme": "Agrovoc", "#text": "Apicultura" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3639", "@subjectScheme": "Agrovoc", "#text": "Manejo de apiário" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_30905", "@subjectScheme": "Agrovoc", "#text": "Varroidae" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Lopes, Maria Teresa do Rego" }, "givenName": "Maria Teresa do Rego", "familyName": "Lopes", "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuaria" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Lopes, Maria Teresa do Rego" }, "givenName": "Maria Teresa do Rego", "familyName": "Lopes", "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2022-11-21" }, { "@dateType": "Updated", "#text": "2024-08-02" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados de levantamento" }, "sizes": { "size": [ "17506", "549780" ] }, "formats": { "format": [ "text/tab-separated-values", "application/pdf" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/closedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Um dos inimigos naturais das abelhas Apis mellifera L. que provocam grandes prejuízos em todo o mundo é o ácaro Varroa destructor (Anderson & Trueman, 2000), um ectoparasita que ataca tanto larvas como abelhas adultas e pode ser agente transmissor de doenças. No Brasil, os danos causados por V. destructor têm sido relativamente menores que os observados em outros países, provavelmente em função da maior tolerância das abelhas africanizados e de fatores climáticos que influenciam negativamente na taxa de reprodução do ácaro. No entanto, nos últimos anos, já existem registros de danos mais acentuados em algumas regiões brasileiras, em função da maior taxa reprodutiva de nova linhagem do ácaro, o que é preocupante, pois pode levar os apicultores a usarem produtos quimioterápicos para o controle da praga. Assim, tornam-se importantes os monitoramentos preventivos nos apiários, já que existe grande variação da taxa de infestação em diferentes regiões do país, em função das variações climáticas e das linhagens envolvidas. Nesse contexto, o conjunto de dados aqui apresentados é resultado da coleta mensal de amostras em apiários localizados em diferentes municípios do Estado do Piauí com o objetivo de avaliar as variações na taxa de infestação do ácaro V. destructor em colônias de A. mellifera em diferentes biomas e épocas do ano. Os dados foram obtidos em apiários dos municípios de Teresina, São João do Piauí, Simplício Mendes e Campo Maior, no período de setembro de 2018 a agosto de 2022. Para a obtenção da taxa de infestação, foram coletadas mensalmente amostras de abelhas adultas em quadros centrais de até seis colônias por apiário. As amostras foram acondicionadas em recipientes de vidro, contendo álcool a 70% e transportadas para a Embrapa Meio-Norte, em Teresina-PI, para a contagem de abelhas e de ácaros. Com os dados obtidos, calculou-se a taxa de infestação pela fórmula: \nTaxa de infestação (%) = (N° de ácaros encontrados/N° de abelhas analisadas) x 100.\nEsses dados são importantes pois permitem o conhecimento dos períodos de maior infestação do ácaro, o que favorece à tomada de decisão quanto às técnicas de manejo a serem utilizadas para o fortalecimento das colônias, visando a prevenção e controle da infestação. \nOs dados foram coletados no âmbito da Solução para Inovação (SI) “Influência das condições climáticas sobre a sanidade das colônias (13.16.04.038.00.04)” vinculada ao projeto “Influência das condições climáticas no manejo, produção e sanidade de abelhas Apis mellifera - 13.16.04.038.00.00)” alinhado ao Portfólio de Recursos Genéticos." }, { "@descriptionType": "Other", "#text": "O conjunto de dados foi organizado em arquivo do Excel, em tabela única contendo as seguintes informações: data de coleta dos dados, município, número do apiário, número da caixa (colmeia) de onde foram retiradas as amostras de abelhas, número de abelhas coletadas por amostra, número de ácaros encontrados na amostra e taxa de infestação calculada, conforme consta no item Descrição. \nAs informações gerais sobre os locais e períodos de coleta de dados (município, localização geográfica, clima, vegetação, localização dos apiários e períodos de amostragem) estão apresentadas em arquivo separado ( .pdf)." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Embrapa - SEG", "awardNumber": "13.16.04.038.00.00" } } } }, { "embrapa_id": "doi:10.48432/3Z8AOQ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/3Z8AOQ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Vaz Junior, Silvio" }, "givenName": "Silvio", "familyName": "Vaz Junior", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-8872-4182" }, "affiliation": "Embrapa Agroenergia" }, { "creatorName": { "@nameType": "Personal", "#text": "Leal, Wesley Gabriel de Oliveira" }, "givenName": "Wesley Gabriel de Oliveira", "familyName": "Leal", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9541-588X" }, "affiliation": "Embrapa Agroenergia" }, { "creatorName": { "@nameType": "Personal", "#text": "Barizon, Robson Rolland Monticelli" }, "givenName": "Robson Rolland Monticelli", "familyName": "Barizon", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-7465-3122" }, "affiliation": "Embrapa Meio Ambiente" } ] }, "titles": { "title": [ "Dados da caracterização do comportamento da nanoformulação lignina-picloram em solo", { "@titleType": "Subtitle", "#text": "Characterization data of the behavior of the lignin-picloram nanoformulation in soil" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Chemistry", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331559", "@subjectScheme": "Agrovoc", "#text": "environmental sciences" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7161", "@subjectScheme": "Agrovoc", "#text": "soil chemistry" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3068", "@subjectScheme": "Agrovoc", "#text": "formulations" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24430", "@subjectScheme": "Agrovoc", "#text": "agrochemicals" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_15591", "@subjectScheme": "Agrovoc", "#text": "leaching" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7161", "@subjectScheme": "Agrovoc", "#text": "química do solo" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_13263", "@subjectScheme": "Agrovoc", "#text": "formulação de pesticida" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24430", "@subjectScheme": "Agrovoc", "#text": "agroquímicos" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_15591", "@subjectScheme": "Agrovoc", "#text": "lixiviação do solo" }, "Análise instrumental" ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Vaz Junior, Silvio" }, "givenName": "Silvio", "familyName": "Vaz Junior", "affiliation": "Embrapa Agroenergia" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Vaz Júnior, Sílvio" }, "givenName": "Sílvio", "familyName": "Vaz Júnior", "affiliation": "Embrapa Agroenergia" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2022-10-27" }, { "@dateType": "Updated", "#text": "2023-04-03" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "dados experimentais" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1007/978-3-030-17891-8" } }, "sizes": { "size": [ "20730", "417310" ] }, "formats": { "format": [ "text/comma-separated-values", "application/pdf" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Dados da caracterização do comportamento da nanoformulação lignina-picloram quanto à sorção/dessorção em solo (segundo \"OECD Guidelines 106\") e quanto à mobilidade (ou lixiviação) em colunas de solo (segundo \"OECD Guidelines 312\"). A obtenção dos dados se deu por meio da aplicação da cromatografia líquida de alta eficiência (HPLC, high performance liquid chromatography) como técnica de análise instrumental. Tais dados geraram informações sobre o comportamento da formulação lignina-picloram no solo após a sua aplicação." }, { "@descriptionType": "Abstract", "#text": "Characterization data of the behavior of the lignin-picloram nanoformulation regarding sorption/desorption in soil (according to \"OECD Guidelines 106\") and mobility (or leaching) in soil columns (according to \"OECD Guidelines 312\"). Data were obtained through the application of high performance liquid chromatography (HPLC, high performance liquid chromatography) as an instrumental analysis technique. Such data generated information about the behavior of the lignin-picloram formulation in the soil after its application." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Embrapa", "awardNumber": "10.19.00.006.00.00" } } } }, { "embrapa_id": "doi:10.48432/444HHL", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/444HHL" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2621-7745" }, "affiliation": "Projeto Embrapa/FAPESP" }, { "creatorName": { "@nameType": "Personal", "#text": "Bolfe, Édson Luis" }, "givenName": "Édson Luis", "familyName": "Bolfe", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7777-2445" }, "affiliation": "Embrapa Agricultura Digital" }, { "creatorName": { "@nameType": "Personal", "#text": "Sano, Edson Eyji" }, "givenName": "Edson Eyji", "familyName": "Sano", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5760-556X" }, "affiliation": "Embrapa Cerrados" }, { "creatorName": { "@nameType": "Personal", "#text": "Bettiol, Giovana Maranhão" }, "givenName": "Giovana Maranhão", "familyName": "Bettiol", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-0619-3061" }, "affiliation": "Embrapa Cerrados" }, { "creatorName": { "@nameType": "Personal", "#text": "Vicente, Luiz Eduardo" }, "givenName": "Luiz Eduardo", "familyName": "Vicente", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-9851-2527" }, "affiliation": "Embrapa Meio Ambiente" }, { "creatorName": { "@nameType": "Personal", "#text": "Sanches, Ieda Del'Arco" }, "givenName": "Ieda Del'Arco", "familyName": "Sanches", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-1296-0933" }, "affiliation": "Instituto Nacional de Pesquisas Espaciais" }, { "creatorName": { "@nameType": "Personal", "#text": "Pereira, Paulo Roberto" }, "givenName": "Paulo Roberto", "familyName": "Pereira", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-8749-6699" }, "affiliation": "Universidade Estadual de Campinas" }, { "creatorName": { "@nameType": "Personal", "#text": "Victória, Daniel de Casto" }, "givenName": "Daniel de Casto", "familyName": "Victória", "nameIdentifier": { "@SchemeURI": "https://orcid.org/", "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-2281-5644" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": "Conjunto de dados do projeto \"Mapeamento Agropecuário no Cerrado via Combinação de Imagens Multisensores - MULTICER\"." }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Earth and Environmental Sciences", { "@schemeURI": "https://agclass.nal.usda.gov/vocabularies/nalt/concept?uri=https%3A//lod.nal.usda.gov/nalt/5260", "@subjectScheme": "NAL Agricultural Thesaurus", "#text": "Agriculture" }, { "@schemeURI": "https://agclass.nal.usda.gov/vocabularies/nalt/concept?uri=https%3A//lod.nal.usda.gov/nalt/35112", "@subjectScheme": "NAL Agricultural Thesaurus", "#text": "Remote Sensing" }, { "@schemeURI": "https://agclass.nal.usda.gov/vocabularies/nalt/concept?uri=https%3A//lod.nal.usda.gov/nalt/19641", "@subjectScheme": "NAL Agricultural Thesaurus", "#text": "Cerrado" }, "Multisensor" ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Cristo Parreiras, Taya" }, "givenName": "Taya", "familyName": "Cristo Parreiras", "affiliation": "Projeto Embrapa/FAPESP" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Bolfe, Édson Luis" }, "givenName": "Édson Luis", "familyName": "Bolfe", "affiliation": "Embrapa Agricultura Digital" }, { "@contributorType": "Researcher", "contributorName": { "@nameType": "Personal", "#text": "Michel Eustáquio Dantas Chaves" }, "givenName": "Michel", "familyName": "Eustáquio Dantas Chaves" }, { "@contributorType": "Other", "contributorName": { "@nameType": "Personal", "#text": "Lucas Augusto Pereira da Silva" }, "givenName": "Lucas Augusto da", "familyName": "eira da Silva" }, { "@contributorType": "Other", "contributorName": { "@nameType": "Personal", "#text": "Andressa Regina Penha" }, "givenName": "Regina", "familyName": "a Regina Penha" }, { "@contributorType": "Other", "contributorName": { "@nameType": "Personal", "#text": "Victória Hellena Matusevicius e de Castro" }, "givenName": "de", "familyName": "tória Hellena Matusevicius e de Castro" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-08-19" }, { "@dateType": "Updated", "#text": "2023-08-23" }, { "@dateType": "Collected", "#text": "2020-11-27/2020-11-27" }, { "@dateType": "Collected", "#text": "2021-07-24/2021-07-27" }, { "@dateType": "Collected", "#text": "2021-10-03/2021-10-08" }, { "@dateType": "Collected", "#text": "2021-11-29/2021-12-02" }, { "@dateType": "Collected", "#text": "2022-03-21/2022-03-22" }, { "@dateType": "Collected", "#text": "2022-05-25/2022-05-26" }, { "@dateType": "Collected", "#text": "2022-08-17/2022-08-18" }, { "@dateType": "Collected", "#text": "2022-09-12/2022-09-15" }, { "@dateType": "Collected", "#text": "2022-11-29/2022-11-30" }, { "@dateType": "Collected", "#text": "2023-03-15/2023-03-15" }, { "@dateType": "Collected", "#text": "2023-06-26/2023-03-26" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados de observação" }, "relatedIdentifiers": { "relatedIdentifier": [ { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.3390/rs14153736" }, { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.3390/land12030581" }, { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.5194/isprs-archives-XLIII-B3-2022-967-2022" }, { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.4025/bolgeogr.v41.a2023.e64865" }, { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.5194/isprs-archives-XLIII-B3-2020-1607-2020, 2020." }, { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.12957/geouerj.2023.66306" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "ISBN", "#text": "978-65-89159-04-9" } ] }, "sizes": { "size": [ "5835", "2869", "15756", "2651", "23366", "8984", "155", "166", "140", "170", "171306735", "16298843", "13931334", "1164248", "515965", "3234", "1161" ] }, "formats": { "format": [ "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "text/plain", "text/plain", "text/plain", "text/plain", "image/tiff", "image/tiff", "image/tiff", "image/tiff", "application/zip", "application/zipped-shapefile", "application/zipped-shapefile" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Este conjunto de dados contém arquivos relacionados ao projeto \"Mapeamento Agropecuário no Cerrado via Combinação de Imagens Multisensores - MULTICER\", desenvolvido em parceria por pesquisadores da Embrapa Agricultura Digital, Embrapa Cerrados, Embrapa Meio Ambiente, Instituto Nacional de Pesquisas Espaciais (INPE), e discentes do Programa de Pós-Graduação em Geografia da Universidade Estadual de Campinas (Unicamp). O objetivo do projeto, que se encerra em 2023, é o desenvolvimento e aprimoramento de metodologias de mapeamento agrícola voltado ao Cerrado, principalmente pelo uso de imagens de satélite multisensor, além de algoritmos de aprendizado de máquina. Para conhecer os resultados do projeto, sugerimos o acesso às publicações relacionadas.\nSão pontos e polígonos amostrais, em formato shapefile, obtidos entre novembro de 2020 e junho de 2023, nos municípios e pólos agropecuários de Balsas e Tasso Fragoso (MA), Goiatuba (GO), Barreiras (BA), Sorriso (MT), Campo Grande (MS), Uberaba e Uberlândia (MG), e Casa Branca (SP), contendo informações temáticas sobre classes de uso e cobertura da terra (vegetação natural, agricultura e cultivos agrícolas, pastagens, entre outras), além de dados e informações acerca da qualidade das pastagens (degradação, presença de invasoras, cupinzeiros e solo exposto, etc.). As informações foram adquiridas com auxílio do aplicativo AgroTag, desenvolvido pela Embrapa. Cada estado contém seu próprio banco de dados, nomeados como 'Dados_MultiCER_SIGLA', por exemplo, 'Dados_MultiCER_SP'. Para os dados de cada estado, é possível acessar, também, uma pasta contendo fotografias (ex: Fotos_MultiCER_SP') tiradas durante as visitas de campo, que podem ser relacionadas aos pontos amostrais por meio do campo 'ID' das respectivas tabelas de atributos. Essas fotografias estão disponibilizadas em uma pasta aberta no Google Drive, no seguinte link: (https://drive.google.com/drive/folders/1JVWtXkpr7vRmtiqQq0MIFD05MplQmu94?usp=drive_link). Ademais, este conjunto de dados contém, também, mapas de uso agrícola e cobertura da terra, em formato 'GeoTIFF', produzidos com séries temporais de imagens de satélite e algoritmos de aprendizado de máquina, resultantes das publicações relacionadas ao projeto. Cada arquivo disponibilizado contém uma descrição detalhada de seu conteúdo. Esse conjunto de dados pode ser utilizado, pela comunidade científica, para treinamento e validação modelos de classificação supervisionada de uso e cobertura da terra, além de estudos relacionados à qualidade das pastagens do Cerrado." }, { "@descriptionType": "TechnicalInfo", "#text": "Quantum GIS, 3.10.0" }, { "@descriptionType": "TechnicalInfo", "#text": "R for Windows, 4.3.0" }, { "@descriptionType": "TechnicalInfo", "#text": "RStudio, 2023.03.0-386" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-43,4814", "southBoundLatitude": "-22,5704", "westBoundLongitude": "-55,0887", "northBoundLatitude": "-2,0493" } } }, "fundingReferences": { "fundingReference": { "funderName": "Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP", "awardNumber": "2019/26222-6" } } } }, { "embrapa_id": "doi:10.48432/4DSSGT", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/4DSSGT" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 10 hectares in Paragominas, Pará, Brasil in 2018 (50x50 m plots).", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Paragominas - Fazenda Nova Neonita\" - PAR_A01_2018_Inventory_plot50x50m" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-10" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "249187", "174992", "5", "4016" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Paragominas – Fazenda Nova Neonita (PAR_A01_2018_Inventory_plot50x50m) refers to the inventory carried out in Paragominas municipality, Pará state, Brazil. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Paragominas – Fazenda Nova Neonita (PAR_A01_2018_Inventory_plot50x50m) refere-se ao inventário realizado no município de Paragominas, estado do Pará, Brasil. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Paragominas\nArea code: PAR_A01_2018\nMunicipality: Paragominas\nLocation: Fazenda Neonita\nState: Pará\nCountry: Brazil\nUTM Zone: 23S\n**Forest Inventory Information**\nTotal number of plots: 40\nPlot dimensions (m): 50x50\nPlot area (ha): 0.25\nPlot inclusion criteria: all trees with DBH >=35cm\nSub-plot dimensions (m): 20x50\nSub-plot area (ha): 0.1\nSub-plot inclusion criteria: all trees with DBH >=10cm\nTotal area inventoried (ha): 10\n**Data originator**\nInstitution: Dendrolog Engenharia Florestal" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-47.5121474981", "southBoundLatitude": "-3.32254", "westBoundLongitude": "-47.5294", "northBoundLatitude": "-3.30771" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/4HRRJQ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/4HRRJQ" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2621-7745" }, "affiliation": "Universidade Estadual de Campinas" } }, "titles": { "title": [ "Time series of NASA HLS for coffee and land use mapping", { "@titleType": "AlternativeTitle", "#text": "Séries temporais do HLS da NASA para mapeamento de café e uso da terra" } ] }, "publisher": "Redape", "publicationYear": "2025", "subjects": { "subject": [ "Earth and Environmental Sciences", { "@schemeURI": "https://lod.nal.usda.gov/nalt/35112", "@subjectScheme": "Nal Thesaurus", "#text": "remote sensing" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/203390", "@subjectScheme": "Nal Thesaurus", "#text": "machine learning" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/11639", "@subjectScheme": "Nal Thesaurus", "#text": "Coffee plant" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/5503", "@subjectScheme": "Nal Thesaurus", "#text": "tropical agriculture" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/1581", "@subjectScheme": "Nal Thesaurus", "#text": "land use" }, { "@schemeURI": "https://lod.nal.usda.gov/nalt/68447", "@subjectScheme": "Nal Thesaurus", "#text": "geospatial technology" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "affiliation": "Universidade Estadual de Campinas" }, { "@contributorType": "Producer", "contributorName": "Embrapa Agricultura Digital", "affiliation": "Embrapa" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Parreiras, Taya Cristo" }, "givenName": "Taya Cristo", "familyName": "Parreiras", "affiliation": "Universidade Estadual de Campinas" }, { "@contributorType": "Producer", "contributorName": "Santos, Claudinei Oliveira dos", "affiliation": "ACELEN Renováveis" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2024-01-15" }, { "@dateType": "Submitted", "#text": "2025-06-15" }, { "@dateType": "Updated", "#text": "2025-09-10" }, { "@dateType": "Collected", "#text": "2023-10-23/2023-10-24" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Observation data/ratings" }, "sizes": { "size": [ "2732", "6999", "3721", "1605", "2230", "3468", "5389", "8244", "8030", "8030", "8030", "8342", "8342", "8342", "10305", "12400", "3952", "4459", "3307", "3661", "1885", "4660", "3465", "2759", "10267", "16109026", "11653461", "4872076", "9708426", "10877", "17688", "13044", "5997" ] }, "formats": { "format": [ "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "type/x-r-syntax", "application/zipped-shapefile", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile", "application/zipped-shapefile" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "This dataset was developed to assess the performance of dense time series derived from spectral bands, vegetation indices, and texture metrics of HLS (Harmonized Landsat and Sentinel-2) imagery, combined with Random Forest and XGBoost algorithms under an ensemble learning framework, for land-use and coffee production stage mapping. The data are structured across a hierarchical classification approach with increasing thematic detail:\n\nLevel 1: Discrimination between natural vegetation and anthropogenic land use.\n\nLevel 2: Classification of anthropic vegetation into pasture, annual crops, and perennial crops.\n\nLevel 3: Differentiation between coffee plantations and planted forestry (silviculture) within perennial crops.\n\nLevel 4: Mapping of four coffee production stages — planted (PL), producing (PR), skeletonized (ES), and stumped-renewed (RN) plantations.\n\nThe dataset includes linear gap-filled multiband time series (Blue, Green, Red, NIR, SWIR, GNDVI, NDVI, NDWI, and SAVI) and GLCM-based texture metrics from 2023, organized into georeferenced samples collected during a field campaign in Caconde, São Paulo, Brazil, in October 2023. Each subset is labeled according to its respective classification level.\n\nThese data support the study “Dense Time Series of Harmonized Landsat Sentinel and Ensemble Machine Learning to Map Coffee Production Stages”, accepted for publication in Remote Sensing - MDPI." }, { "@descriptionType": "Abstract", "#text": "Este conjunto de dados foi desenvolvido para avaliar o desempenho de séries temporais densas derivadas de bandas espectrais, índices de vegetação e métricas de textura de imagens HLS (Harmonized Landsat e Sentinel-2), combinadas com algoritmos Random Forest e XGBoost sob uma estrutura de aprendizado conjunto, para mapeamento do uso da terra e dos estágios de produção de café. Os dados são estruturados em uma abordagem de classificação hierárquica com crescente detalhamento temático:\n\nNível 1: Discriminação entre vegetação natural e uso antrópico da terra.\n\nNível 2: Classificação da vegetação antrópica em pastagem, culturas anuais e culturas perenes.\n\nNível 3: Diferenciação entre plantações de café e silvicultura dentro de culturas perenes.\n\nNível 4: Mapeamento dos quatro estágios de produção de café — plantio recente (PL), em produção (PR), esqueletados (ES) e recepados (RN).\n\nO conjunto de dados inclui séries temporais multibanda lineares preenchidas por lacunas (Azul, Verde, Vermelho, NIR, SWIR, GNDVI, NDVI, NDWI e SAVI) e métricas de textura baseadas em GLCM do ano de 2023, organizadas em amostras georreferenciadas coletadas durante uma campanha de campo em Caconde, São Paulo, Brasil, em outubro de 2023. Cada subconjunto é rotulado de acordo com seu respectivo nível de classificação.\n\nEsses dados estão relacionados ao estudo \"Dense Time Series of Harmonized Landsat Sentinel and Ensemble Machine Learning to Map Coffee Production Stages\", aceito para publicação na revista Remote Sensing - MDPI." }, { "@descriptionType": "TechnicalInfo", "#text": "R for Windows, 4.3.0" }, { "@descriptionType": "Methods", "#text": "NASA - LPDAAC: https://lpdaac.usgs.gov/tools/earthdata-search.\nIBGE: https://www.ibge.gov.br/geociencias/downloads-geociencias.html." } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Campinas, São Paulo, Brazil" }, { "geoLocationBox": { "westBoundLongitude": "-46.7625693789999985", "northBoundLatitude": "-21.4269571809999988", "southBoundLatitude": "-21.6850599459999991", "eastBoundLongitude": "-46.5000487199999029" } } ] }, "fundingReferences": { "fundingReference": [ { "funderName": "FAPESP)", "awardNumber": "2022/09319-9" }, { "funderName": "FAPESP", "awardNumber": "2024/13150-5" } ] } } }, { "embrapa_id": "doi:10.48432/4N8XSQ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/4N8XSQ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 1000 hectares in Andiroba, Paragominas, Pará, Brasil in 2013 - optional dataset.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Fazenda Andiroba\" - AND_A01_2013_LiDAR_optional_data_set" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-15" }, { "@dateType": "Updated", "#text": "2023-11-22" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "825876480", "5", "37041" ] }, "formats": { "format": [ "application/x-tar", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Fazenda Andiroba (AND_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered);\nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Fazenda Andiroba (AND_A01_2013_LiDAR_optional_data_set) referem-se ao levantamento realizado no município de Paragominas, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 2.3" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 6.1" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA SCAN, 13.0" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA MODELER, 13.0" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA MATCH, 13.0" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20130822 and 20130825\nLocation: Paragominas municipality, Pará state\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima/12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 23S\nNumber of tiles: 15\nTotal area: 1000ha\nAverage return density (point per square meter): 16.8 ppm²\nAverage first return density (point per square meter): 9.3 ppm²\nAverage flight altitude: 853.4m\nField of view: 11°\nScanner specification OPTECH, ORION, 09SEN243.\nScanning frequency: 67.5 Hz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 kHz\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-46.82802", "northBoundLatitude": "-2.5319095378862", "southBoundLatitude": "-2.57715", "westBoundLongitude": "-46.84606000000001" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/4VGSL3", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/4VGSL3" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6956-7345" }, "affiliation": "Embrapa Algodão" } }, "titles": { "title": [ "Doses of gibberellin influencing the germination of castor seed", { "@titleType": "AlternativeTitle", "#text": "Doses de giberelina influenciando a germinação de sementes de mamona" } ] }, "publisher": "Redape", "publicationYear": "2025", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6600", "@subjectScheme": "Agrovoc", "#text": "Ricinus communis" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3160", "@subjectScheme": "Agrovoc", "#text": "gibberellic acid" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_2720", "@subjectScheme": "Agrovoc", "#text": "Euphorbiaceae" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "Embrapa Algodão" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "Embrapa Algodão" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2024-03-29" }, { "@dateType": "Updated", "#text": "2025-06-30" }, { "@dateType": "Collected", "#text": "2022-09-27/2022-10-04" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Experimental data" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@SchemeURI": "https://doi.org/", "@relatedIdentifierType": "DOI", "#text": "10.3390/seeds3020019" } }, "sizes": { "size": [ "2859", "1192" ] }, "formats": { "format": [ "text/tab-separated-values", "text/plain" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "This data was collected in an experiment for measuring the effect of the hormone gibberellin on the germination of castor seed cultivar Mia (Kaiima Seeds). The test was made in plastic boxes, incubated at 30 °C for nine days, exposing the seeds to 11 doses of gibberellin varying from zero to 133 mg/L. Addtional experimental details and the analysis of the data can be found in the published article." }, { "@descriptionType": "Abstract", "#text": "Este conjunto de dados foi coletado em um experimento com objetivo de medir o efeito do hormônio giberelina sobre a germinação de sementes de mamona da variedade Mia (Kaiima Seeds). O teste foi feito em caixas de plástico, encubadas a 30 °C por nove dias, expondo as sementes a 11 doses de giberelina variando de zero a 133 mg/L. Mais detalhes experimentais e a análise dos dados podem ser acessados no artigo que foi publicado." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Kaiima Brasil Sementes", "awardNumber": "30.22.90.036.00.00" } } } }, { "embrapa_id": "doi:10.48432/53QDEE", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/53QDEE" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 10 hectares in Paragominas, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Paragominas - Fazenda Nova Neonita\" - PAR_A01_2018_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-04-25" }, { "@dateType": "Submitted", "#text": "2022-03-19" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "208353", "118619", "5", "4098" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Paragominas – Fazenda Nova Neonita (PAR_A01_2018_Inventory) refers to the inventory carried out in Paragominas municipality, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Paragominas – Fazenda Nova Neonita (PAR_A01_2018_Inventário) refere-se ao inventário realizado no município de Paragominas, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Paragominas\nArea code: PAR_A01_2018\nMunicipality: Paragominas\nLocation: Fazenda Neonita\nState: Pará\nCountry: Brazil\nUTM Zone: 23S\n**Forest Inventory Information**\nTotal number of transects: 10\nTransect dimension (m): 20x500\nTransect area (ha): 1\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 2x500\nSub-plot area: 0.1\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried (ha): 10\n**Data originator**\nInstitution: Dendrolog Engenharia Florestal" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Paragominas, Para, Brasil2014-06-18" }, { "geoLocationBox": { "eastBoundLongitude": "-47.5121474981", "southBoundLatitude": "-3.32254", "westBoundLongitude": "-47.5294", "northBoundLatitude": "-3.30771" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/5AOHQD", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/5AOHQD" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 671 hectares in Tapajós, Belterra, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "LiDAR dataset for \"Floresta Nacional do Tapajós\" - TAP_A03_2018_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-10-14" }, { "@dateType": "Submitted", "#text": "2022-02-19" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "6552368", "1030189528", "5", "1241" ] }, "formats": { "format": [ "application/x-xz", "application/x-xz", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional do Tapajós (TAP_A03_2018_LiDAR) refers to the survey carried out in Tapajós National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional do Tapajós (TAP_A03_2018_LiDAR) referem-se ao levantamento realizado na Floresta Nacional do Tapajós, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 17" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20181014\nLocation: Tapajós National Forest, Belterra municipality, Para state\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 12\nTotal area (ha): 671\nAverage return density (point per square meter): 27.22\nAverage flight altitude (m): 750\nField of view (°): 10\nScanner specification OPTECH/ ALTM 3100/ 04SEN157\nScanning frequency (Hz): 40\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency (Hz): 1\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency (kHz): 200\nPercentage of flightline overlap (%): >70" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "southBoundLatitude": "-3.15883", "eastBoundLongitude": "-54.9438", "westBoundLongitude": "-54.96164", "northBoundLatitude": "-3.1088982801" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/5DPUWM", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/5DPUWM" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 1.44 hectares in São Félix do Xingu, Para, Brasil in 2011.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set São Félix do Xingu - SFX_A01_2011_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2011-10-20" }, { "@dateType": "Submitted", "#text": "2022-02-23" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "380452", "97272", "5", "1598" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set São Félix do Xingu (SFX_A01_2011_Inventory) refers to the inventory carried out in São Félix do Xingu municipality, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal São Félix do Xingu (SFX_A01_2011_Inventário) refere-se ao inventário realizado no município de São Félix do Xingu, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: São Félix do Xingu\nArea code: SFX_A01_2011\nMunicipality: São Félix do Xingu\nState: Pará\nCountry: Brazil\nUTM Zone: 22S\n**Forest Inventory Information**\nTotal number of plots: 9 plots\nPlot dimensions: 40x40m\nPlot area: 1600m²\nPlot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 1.44ha\n**Data originator**\nInstitution (1): Instituto Floresta Tropical (IFT)\nInstitution (2): The Nature Conservancy (TNC)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "São Félix do Xingu, Para, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-6.3988177027", "westBoundLongitude": "-52.90615", "southBoundLatitude": "-6.42584", "eastBoundLongitude": "-52.90216" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/5WVD4L", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/5WVD4L" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Ibelli, Adriana Mércia Guaratini" }, "givenName": "Adriana Mércia Guaratini", "familyName": "Ibelli", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-0626-8879" }, "affiliation": "Embrapa Suínos e Aves" } }, "titles": { "title": [ "Expressed genes in the hypothalamus of gilts cyclic and in anestrus.", { "@titleType": "AlternativeTitle", "#text": "Genes expressos no hipotálamo de porcas cíclicas e em anestro." } ] }, "publisher": "Redape", "publicationYear": "2026", "subjects": { "subject": [ "Agricultural Sciences", "Medicine, Health and Life Sciences", { "@schemeURI": "https://aims.fao.org/aos/agrovoc/c_620c5378.html", "@subjectScheme": "Agrovoc", "#text": "transcriptome" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7555", "@subjectScheme": "Agrovoc", "#text": "swine" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_a633407a", "@subjectScheme": "Agrovoc", "#text": "transcriptomics" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_27527", "@subjectScheme": "Agrovoc", "#text": "gene expression" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331001", "@subjectScheme": "Agrovoc", "#text": "genetic processes" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Ibelli, Adriana Mércia Guaratini" }, "givenName": "Adriana Mércia Guaratini", "familyName": "Ibelli", "affiliation": "Embrapa Suínos e Aves" }, { "@contributorType": "Producer", "contributorName": "Embrapa Suínos e Aves", "affiliation": "Embrapa" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Bianchi, Ivan" }, "givenName": "Ivan", "familyName": "Bianchi", "affiliation": "Instituto Federal Catarinense" }, { "@contributorType": "Producer", "contributorName": "Ledur, Mônica Corrêa", "affiliation": "Embrapa Suínos e Aves" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-10-26" }, { "@dateType": "Updated", "#text": "2026-01-23" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "dados genéticos" }, "sizes": { "size": "2310734" }, "formats": { "format": "text/plain" }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Database containing expressed genes in the hypothalamus of sows cyclic and in anestrus. The total RNA of hypophysis of 7 cyclic and 7 gilts was extracted using Trizol (Life Technologie), followed by an RNA cleanup step using the RNeasy mini kit (Qiagen). RNA purity and concentration were measured using Biodrop spectrophotometer (Biodrop) and integrity was evaluated using Bioanalyzer 2100 (Agilent), considering samples with RIN > 7.5 for further analysis. The Illumina Stranded mRNA Prep Kit using 1 μg of total RNA was used for library preparation. After pooling the libraries, clustering, and sequencing were performed in the Illumina NextSeq 2000 sequencer (lllumina) producing 2x150bp paired-end reads, LaCTAD. To perform the RNA-seq analysis BAQCOM, an automated pipeline was used for quality control (QC) and mapping analysis. In this pipeline, Trimmomatic v0.39 was used to filter low-quality reads (QPhred ≤ 20), short reads (< 100bp), and Illumina sequence adapters. Once QC was performed, sequence reads of each sample were mapped against the reference pig genome (Sscrofa11.1, Ensembl release 110) using STAR. Reads counting was performed with HTseq-count and RSEM, which also generated a gene and transcript count table, respectively, for statistical analysis. The differentially expressed (DE) genes, transcripts, and the heatmap were obtained using the limma package from the R 4.2.2 software. The false discovery rate (FDR) which uses the Benjamini-Hochberg (BH) correction for multiple tests was applied and genes and transcripts with ≤ 0.05 were considered DE. Negative and positive fold changes indicate downregulation and upregulation of the genes in the anestrus (affected) compared to the cyclic (control) group." }, { "@descriptionType": "TechnicalInfo", "#text": "R, 4.2.2" }, { "@descriptionType": "Other", "#text": "Database containing expressed genes in the rows, and Ensembl gene identification (column 1), external gene name (column 2), gene description (column 3), chromosome name (column 4), gene start position (column 5), gene end position (column 6), gene biotype (column 7), wikigene name (column 8), hgnc symbol (column 9), logFC (column 10), average expression in CPM (column 11), t (column 12), p-value (column 13), adjusted p-value (column 14) and B statistic (column 15)" } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "FAPESC", "awardNumber": "2021TR000662" } } } }, { "embrapa_id": "doi:10.48432/63TWI8", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/63TWI8" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Simeone, Maria Lúcia Ferreira" }, "givenName": "Maria Lúcia Ferreira", "familyName": "Simeone", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-2003-0341" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Pimentel, Marco Aurélio Guerra" }, "givenName": "Marco Aurélio Guerra", "familyName": "Pimentel", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9690-8790" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Queiroz, Valéria Aparecida Vieira" }, "givenName": "Valéria Aparecida Vieira", "familyName": "Queiroz", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0156-9827" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Menezes, Cícero Beserra de" }, "givenName": "Cícero Beserra de", "familyName": "Menezes", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9437-6946" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Paes, Maria Cristina Dias" }, "givenName": "Maria Cristina Dias", "familyName": "Paes", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-9469-0561" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Guimarães, Paulo Evaristo de Oliveira" }, "givenName": "Paulo Evaristo de Oliveira", "familyName": "Guimarães", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-9931-7942" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Trindade, Roberto dos Santos" }, "givenName": "Roberto dos Santos", "familyName": "Trindade", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-4967-245X" }, "affiliation": "Embrapa Milho e Sorgo" }, { "creatorName": { "@nameType": "Personal", "#text": "Aquino, Luiz Felipe M. de" }, "givenName": "Luiz Felipe M. de", "familyName": "Aquino", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0215-2898" }, "affiliation": "Spectral Solutions" } ] }, "titles": { "title": [ "Base de dados de instrumentação NIR portátil para desenvolvimento de modelos preditivos de composição físico-química de grãos de milho.", { "@titleType": "AlternativeTitle", "#text": "Portable NIR instrumentation database for developing predictive models of physicochemical composition of mayze grains." } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", "Chemistry", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_14498", "@subjectScheme": "Agrovoc", "#text": "Spectroscopy" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_28568", "@subjectScheme": "Agrovoc", "#text": "infrared spectrophotometry" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_1513", "@subjectScheme": "Agrovoc", "#text": "analytical methods" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_1474", "@subjectScheme": "Agrovoc", "#text": "Cereals" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_12332", "@subjectScheme": "Agrovoc", "#text": "maize" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_8171", "@subjectScheme": "Agrovoc", "#text": "plant products" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Simeone, Maria Lúcia Ferreira" }, "givenName": "Maria Lúcia Ferreira", "familyName": "Simeone", "affiliation": "EMBRAPA - Empresa Brasileira de Pesquisa Agropecuaria" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Simeone, Maria Lúcia Ferreira" }, "givenName": "Maria Lúcia Ferreira", "familyName": "Simeone", "affiliation": "Embrapa Milho e Sorgo" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2023-11-01" }, { "@dateType": "Submitted", "#text": "2024-04-29" }, { "@dateType": "Updated", "#text": "2024-07-03" }, { "@dateType": "Collected", "#text": "2017-03-01/2023-10-31" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "dados experimentais" }, "sizes": { "size": [ "61148", "212999", "679208", "586843", "416080", "191101", "675148", "651644" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/pdf", "text/tab-separated-values", "text/tab-separated-values" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Este conjunto de dados reúne espectros no infravermelho próximo (NIR) e informações químicas de amostras de grãos de milho coletadas entre 2017 e 2023. O objetivo foi desenvolver modelos multivariados que possibilitem a predição rápida e precisa de parâmetros de qualidade do milho, como umidade, proteína bruta, cinzas, extrato etéreo, fibra bruta e amido total. O projeto foi realizado em parceria com a empresa Spectral Solutions." }, { "@descriptionType": "Other", "#text": "As amostras de milho foram secas a 60 °C e moídas em um moinho (modelo A-11, IKA, China) utilizando uma peneira de 1,0 mm, armazenadas a -18 °C e levadas à temperatura ambiente antes da análise química e da coleta dos espectros NIRS.\nUm espectrômetro portátil NIRS modelo MIcroNIR 1700 ES Viavi Solutions (Santa Rosa, CA - EUA) foi utilizado para adquirir dados do espectro NIRS nas amostras de milho na faixa de 908 a 1676 nm.\nAs amostras foram analisadas seguindo os métodos da AOAC International (AOAC, 2007) para determinar: Umidade: método AOAC 930.15, Proteína bruta (PB): método AOAC 999.03, matéria mineral: método AOAC 975.03, Extrato etéreo (EE): método AOAC 2003.06, Fibra bruta (FB) Determinada usando bolsas de filtro e equipamento analisador de fibra (Fiber Analyzer, Ankom Technology, Macedon, NY). Seguiu uma modificação do procedimento de van Soest et al. (1991) e Amido total: método AOAC 996.11.\nDevido à variabilidade observada e aos custos analíticos, algumas amostras não foram analisadas para todos os constituintes. As análises químicas foram realizadas em duplicata." } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Sete Lagoas-MG" } }, "fundingReferences": { "fundingReference": [ { "funderName": "Spectral Solutions", "awardNumber": "20700.21/0007-21" }, { "funderName": "Empresa Brasileira de Pesquisa Agropecuária", "awardNumber": "30.21.90.032.00.00" } ] } } }, { "embrapa_id": "doi:10.48432/64UGJT", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/64UGJT" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 22 hectares in Cauaxi, Paragomina, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Fazenda Cauaxi\" - CAU_A01_2018_Inventory_plot50x50m" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-01-17" }, { "@dateType": "Submitted", "#text": "2022-02-14" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "782901", "257062", "5", "12308" ] }, "formats": { "format": [ "text/tab-separated-values", "application/pdf", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Fazenda Cauaxi (CAU_A01_2018_Inventory_plots50x50m) refers to the inventory carried out in Paragominas municipality, Pará state, Brazil to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Fazenda Cauaxi (CAU_A01_2018_Inventory_plots50x50m) refere-se ao inventário realizado no município de Paragominas, estado do Pará, Brasil, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Fazenda Cauaxi\nArea code: CAU_A01_2018_Inventory_plot50x50m\nMunicipality: Paragominas\nState: PA\nCountry: Brazil\nUTM Zone: 22S\n**Forest Inventory Information**\nTotal number of plots: 88\nPlot dimensions (m): 50x50\nPlot area (ha): 0.25\nPlot inclusion criteria: all trees with DBH >=35cm\nSub-plot dimensions (m): 20x50\nSub-plot area (ha): 0.1\nSubplot inclusion criteria: all trees with DBH >=10cm\nTotal area inventoried (ha): 22\n**Data originator**\nInstitution: Dendrolog Engenharia Florestal" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Cauaxi, Paragomina, Para, Brasil" }, { "geoLocationBox": { "westBoundLongitude": "-48.49756", "southBoundLatitude": "-3.7638300000000005", "eastBoundLongitude": "-48.47146", "northBoundLatitude": "-3.7302126088" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/6HRVD2", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/6HRVD2" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 1248 hectares in Adolpho Ducke Forest Reserve, Amazonas, Brasil in 2017", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Reserva Florestal Adolpho Ducke\" - DUC_A01_2017_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2017-09-03" }, { "@dateType": "Submitted", "#text": "2022-01-04" }, { "@dateType": "Updated", "#text": "2023-03-16" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.48432/JSGOWP" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "43918", "2744442880" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Reserva Florestal Adolpho Ducke (DUC_A01_2017_LiDAR) refers to the survey carried out in Adolpho Ducke Forest Reserve, Amazonas state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered);\nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries;\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Reserva Florestal Adolpho Ducke (DUC_A01_2017_LiDAR) referem-se ao levantamento realizado na Reserva Florestal Adolpho Ducke, estado do Amazonas, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados classificados de nuvem de pontos formatados em LAS (entregues pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 16" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20170409\nLocation: Adolpho Ducke Forest Reserve, Amazonas state\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 20S\nNumber of tiles: 20\nTotal area: 1248ha\nAverage return density (point per square meter): 18.18 ppm2\nAverage flight altitude: 850m\nField of view: 15°\nScanner specification OPTECH/ ALTM 3100/ 05SEN171\nScanning frequency: 40Hz\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency: 1Hz\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency: 200kHz\nPercentage of flightline overlap: 70%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Adolpho Ducke Forest Reserve, Amazonas, Brazil" }, { "geoLocationBox": { "eastBoundLongitude": "-59.9214447548", "westBoundLongitude": "-59.9577297087", "northBoundLatitude": "-2.9362309871", "southBoundLatitude": "-2.96481752965" } } ] }, "fundingReferences": { "fundingReference": [ { "funderName": "US Department of State" }, { "funderName": "USAID" } ] } } }, { "embrapa_id": "doi:10.48432/6KFL31", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/6KFL31" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 1.25 hectares of Talisma, Rio Branco, Acre, Brasil in 2014.", { "@titleType": "AlternativeTitle", "#text": "Data set \"Talismã\" - TAL_A01_2014_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "Agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2014-07-16" }, { "@dateType": "Submitted", "#text": "2021-11-02" }, { "@dateType": "Updated", "#text": "2024-01-30" }, { "@dateType": "Collected", "#text": "2014-05-29/2018-10-08" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": [ { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.3390/rs8100839" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "URL", "#text": "http://urlib.net/8JMKD3MGP3W34P/3QEKUAS" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1038/s41598-020-80809-w" }, { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1029/2020JG005677" } ] }, "sizes": { "size": [ "17349", "502329", "5", "1911" ] }, "formats": { "format": [ "text/tab-separated-values", "application/pdf", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Talismã (TAL_A01_2014_Inventory) refers to the inventory carried out in in Rio Branco municipality, Acre state, to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile)\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Talismã (TAL_A01_2014_Inventory) refere-se ao inventário realizado no município de Rio Branco, estado do Acre, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile)\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Area name: Talismã\nArea code: TAL_A01_2014\nMunicipality: Rio Branco\nLocation: Talismã\nState: Acre\nCountry: Brazil\nUTM Zone: 19S\n**Forest Inventory Information**\nStart date (Data collection) 20140714\nEnd date (Data collection) 20140716\nTotal number of plots: 5\nPlot dimensions: 50x50m\nPlot area: 2500m²\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 10x50m\nSub-plot area: 500m²\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 1.25ha\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Talisma, Rio Branco, Acre, Brasil" }, { "geoLocationBox": { "westBoundLongitude": "-67.98238638864512", "eastBoundLongitude": "-67.96989348877729", "northBoundLatitude": "-10.250467754534956", "southBoundLatitude": "-10.257426549127485" } } ] }, "fundingReferences": { "fundingReference": [ { "funderName": "US Department of State" }, { "funderName": "USAID" } ] } } }, { "embrapa_id": "doi:10.48432/6N3WQA", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/6N3WQA" }, "creators": { "creator": { "creatorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-6956-7345" }, "affiliation": "Embrapa Algodão" } }, "titles": { "title": [ "Castor seed hydration and germination influenced by temperature and puncture", { "@titleType": "AlternativeTitle", "#text": "Hidratação e germinação de sementes de mamona influenciadas pela temperatura e perfuração na casca" } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6600", "@subjectScheme": "Agrovoc", "#text": "Ricinus communis" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_3712", "@subjectScheme": "Agrovoc", "#text": "hydration" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_28427", "@subjectScheme": "Agrovoc", "#text": "inhibition" }, "puncture", { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=4132", "@subjectScheme": "Thesagro", "#text": "mamona" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=8648", "@subjectScheme": "Thesagro", "#text": "hidratação" }, { "@schemeURI": "https://www.vocabularyserver.com/thesagro/index.php?tema=491", "@subjectScheme": "Thesagro", "#text": "germinação" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_2720", "@subjectScheme": "Agrovoc", "#text": "Euphorbiaceae" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "Embrapa Algodão" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Severino, Liv Soares" }, "givenName": "Liv Soares", "familyName": "Severino", "affiliation": "Embrapa Algodão" } ] }, "dates": { "date": [ { "@dateType": "Issued", "#text": "2023-08-29" }, { "@dateType": "Created", "#text": "2021-09-15" }, { "@dateType": "Submitted", "#text": "2023-01-25" }, { "@dateType": "Updated", "#text": "2024-06-20" }, { "@dateType": "Collected", "#text": "2021-09-15/2021-10-15" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "experimental data" }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.3390/seeds3020019" } }, "sizes": { "size": [ "783982", "904989", "792955", "803669", "998619", "813830", "947969", "177678", "311841", "15367" ] }, "formats": { "format": [ "image/jpeg", "image/jpeg", "image/jpeg", "image/jpeg", "image/jpeg", "image/jpeg", "image/jpeg", "image/jpeg", "text/tab-separated-values", "application/vnd.openxmlformats-officedocument.wordprocessingml.document" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "This data was collected in an experiment with objective to measure the progress of hydration of castor seed under temperatures between 16 and 34 ºC, and if making a puncture in the seed coat would make the hydration to occur faster. The time for germination was also measured." }, { "@descriptionType": "Abstract", "#text": "Estes dados foram coletados num experimento com objetivo de medir a evolução da hidratação de sementes de mamona sob temperaturas entre 16 e 34 ºC e testar se uma perfuração na casca da semente faria a hidratação ocorrer mais rapidamente. O tempo para germinação também foi medido." } ] }, "geoLocations": { "geoLocation": { "geoLocationPlace": "Sinop, Mato Grosso, Brazil" } }, "fundingReferences": { "fundingReference": { "funderName": "Data generated without funding" } } } }, { "embrapa_id": "doi:10.48432/6RFGLJ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/6RFGLJ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 2.5 hectares in Bonal, Rio Branco, Acre, Brasil in 2014.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Bonal\" - BON_A01_2014_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-16" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "515345", "32775", "5", "2501" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Bonal (BON_A01_2014_Inventory) refers to the inventory carried out in in Rio Branco municipality, Acre state, Brazil. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. \n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data; \n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Bonal (BON_A01_2014_Inventário) refere-se ao inventário realizado no município de Rio Branco, estado do Acre, Brasil. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Bonal\nArea code: BON_A01_2014\nMunicipality: Senador Guiomard\nState: Acre\nCountry: Brazil\nUTM Zone: 19S\n**Forest Inventory Information**\nStart date (Data collection) 20140709\nEnd date (Data collection) 20140712\nTotal number of plots: 10\nPlot dimensions: 50x50m\nPlot area: 2500m²\nPlot inclusion criteria: all trees with DBH >= 35cm\nSub-plot dimensions: 10x50m\nSub-plot area: 500m²\nSub-plot inclusion criteria: all trees with DBH >= 10cm\nTotal area inventoried: 2.5ha\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-67.27647801049962", "northBoundLatitude": "-9.865587219241107", "southBoundLatitude": "-9.885678258345084", "westBoundLongitude": "-67.2913924863952" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/6XBHIJ", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/6XBHIJ" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 1.75 hectares in Santarem III, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory data set \"Santarem III\" - SAN_A01b_2018_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2018-08-29" }, { "@dateType": "Submitted", "#text": "2022-03-23" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "250683", "63305", "5", "1707" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Santarem III (SAN_A01b_2018_Inventory) refers to the inventory carried out in Belterra municipality, Pará state, Brazil to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Santarém III (SAN_A01b_2018_Inventário) refere-se ao inventário realizado no município de Belterra, estado do Pará, Brasil, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Santarem III\nArea code: SAN_A01b_2018\nMunicipality: Belterra\nState: PA\nCountry: Brazil\nUTM Zone: 21S\n**Forest Inventory Information**\nTotal number of plots: 7\nPlot dimensions (m): 50x50\nPlot area (ha): 0.25\nSub-plot dimensions: 5x50\nSub-plot area (ha): 0.025\nSub-plot inclusion criteria: all trees with DBH >=10cm\nPlot inclusion criteria: all trees with DBH >=35cm\nTotal area inventoried (ha): 1.75\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Santarem, Para, Brasil" }, { "geoLocationBox": { "westBoundLongitude": "-54.88205", "southBoundLatitude": "-3.02341", "eastBoundLongitude": "-54.85592", "northBoundLatitude": "-2.9831144314" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/76OA82", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/76OA82" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 119.03 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2015.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Floresta Nacional de Saracá-Taquera\" - FST_A08_2015_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2015-10-18" }, { "@dateType": "Submitted", "#text": "2022-03-13" }, { "@dateType": "Updated", "#text": "2024-08-27" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "21690", "275578880" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional de Saracá-Taquera (FST_A08_2015_LiDAR) refers to the survey carried out at Saracá-Taquera National Forest, Pará state, Brazil, as part of the Brazilian Forest Service monitoring program. The partnership between the Brazilian Forest Service and the Brazilian Agricultural Research Corporation (Embrapa) has made available high accuracy LiDAR data for the development of new methodologies and to expand the knowledge about forest management in concession areas.field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries;\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados do LiDAR Floresta Nacional de Saracá-Taquera (FST_A08_2015_LiDAR) referem-se ao levantamento realizado na Floresta Nacional de Saracá-Taquera, estado do Pará, Brasil, como parte do programa de monitoramento do Serviço Florestal Brasileiro. A parceria entre o Serviço Florestal Brasileiro e a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tem disponibilizado dados LiDAR de alta precisão para o desenvolvimento de novas metodologias e ampliação do conhecimento sobre manejo florestal em áreas de concessão.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 2.4" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 15" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20151018\nLocation: Saracá-Taquera National Forest, Pará State, Brazil\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 21S\nNumber of tiles: 6\nTotal area: 119.03ha\nAverage return density (point per square meter): 52.65ppm2\nAverage first return density (point per square meter): 32.93ppm2\nAverage flight altitude: 700m\nField of view: 15°\nScanner specification OPTECH/ ALTM 3100/ 05SEN171\nScanning frequency: 55Hz\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency: 1Hz\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency: 200kHz\nPercentage of flightline overlap: 70%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Saracá-Taquera, Pará, Brazil" }, { "geoLocationBox": { "southBoundLatitude": "-1.6961708725923816", "eastBoundLongitude": "-56.285707829834166", "northBoundLatitude": "-1.675767116717258", "westBoundLongitude": "-56.29046020894245" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/7BJ7VP", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/7BJ7VP" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 500 hectares of Talisma, Rio Branco, Acre, Brasil in 2013 - optional dataset.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Talismã\" - TAL_A01_2013_LiDAR_optional_data_set" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-15" }, { "@dateType": "Updated", "#text": "2023-03-21" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "24107", "731125760" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Talismã (TAL_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Rio Branco municipality, Acre state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Talismã (TAL_A01_2013_LiDAR_optional_data_set) referem-se ao levantamento realizado no município de Rio Branco, estado do Acre, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 2.3" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 6.1" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA SCAN, 13.0" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA MODELER, 13.0" }, { "@descriptionType": "TechnicalInfo", "#text": "TERRA MATCH, 13.0" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20130916\nLocation: Rio Brano municipality, Acre State, Brazil\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima/12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 19S\nNumber of tiles: 12\nTotal area: 500ha\nAverage return density (point per square meter): 10.8 ppm²\nAverage first return density (point per square meter): 5.2 ppm²\nAverage flight altitude: 900 m\nField of view: 11.1°\nScanner specification OPTECH, ORION, 09SEN243.\nScanning frequency: 61.4 Hz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 kHz\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-67.96028", "southBoundLatitude": "-10.26793", "northBoundLatitude": "-10.2432721706", "westBoundLongitude": "-67.99373" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/7TY1XM", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/7TY1XM" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 3.4 hectares in Tapajós, Belterra, Pará, Brasil in 2011.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory dataset for \"Floresta Nacional do Tapajós\" - TAP_A04_2011_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2011-03-11" }, { "@dateType": "Submitted", "#text": "2022-02-19" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "550016", "135908", "5", "1570" ] }, "formats": { "format": [ "application/pdf", "text/tab-separated-values", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Floresta Nacional do Tapajós (TAP_A04_2011_Inventory) refers to the inventory carried out in Tapajós National Forest, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile).\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Floresta Nacional do Tapajós (TAP_A04_2011_Inventário) refere-se ao inventário realizado na Floresta Nacional do Tapajós, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile).\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Floresta Nacional do Tapajós\nArea code: TAP_A04_2011_Inventory\nMunicipality: Belterra\nLocation: Floresta Nacional do Tapajós\nState: Pará\nCountry: Brazil\nUTM Zone: 21S\n**Forest Inventory Information**\nTotal number of plots: 4 sample lines (transects)\nPlot dimensions: 500m long\nPlot area: nominal plot size of 0.85ha approximately\nPlot inclusion criteria: all trees with DBH >= 5cm\nTotal area inventoried: 3.4 ha approximately\n**Data originator**\nInstitution: Instituto Floresta Tropical (IFT)" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Tapajós, Belterra, Para, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-3.01181", "westBoundLongitude": "-54.96916", "eastBoundLongitude": "-54.95645", "southBoundLatitude": "-3.02341" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/86P39J", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/86P39J" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-4032-3106" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Torres, Yan" }, "givenName": "Yan", "familyName": "Torres", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5520-4092" }, "affiliation": "Universidade Estadual Vale do Acaraú" }, { "creatorName": { "@nameType": "Personal", "#text": "Silva Junior, Orzenil Bonfim da" }, "givenName": "Orzenil Bonfim da", "familyName": "Silva Junior", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-2104-2010" }, "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" }, { "creatorName": { "@nameType": "Personal", "#text": "Melo, Dheyne Silva" }, "givenName": "Dheyne Silva", "familyName": "Melo", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9961-7286" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Grattapaglia, Dario" }, "givenName": "Dario", "familyName": "Grattapaglia", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0050-970X" }, "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" } ] }, "titles": { "title": [ "Determinação do grau de parentesco em progênies de cajueiro: Fase 2: IC 2017.", { "@titleType": "AlternativeTitle", "#text": "Determining the degree of relationship in cashew tree progenies.Phase 2: CS 2017." } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_378", "@subjectScheme": "Agrovoc", "#text": "Anacardium occidentale" }, { "@schemeURI": "https://sistemas.agricultura.gov.br/tematres/vocab/index.php?tema=1140", "@subjectScheme": "Thesagro", "#text": "híbrido" }, { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_5956", "@subjectScheme": "Agrovoc", "#text": "melhoramento de plantas" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_49902", "@subjectScheme": "Agrovoc", "#text": "breeding" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "affiliation": "Embrapa Agroindústria Tropical" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "affiliation": "Embrapa Agroindústria Tropical" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2024-03-21" }, { "@dateType": "Updated", "#text": "2024-08-06" }, { "@dateType": "Collected", "#text": "2020-05-01/2020-10-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados experimentais" }, "sizes": { "size": [ "4269", "4049", "4096", "3727", "412140" ] }, "formats": { "format": [ "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/pdf" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Os dados aqui apresentados são usados para determinar o parentesco preciso de cruzamentos controlados de progênies de irmãos completos (IC) de cajueiro. Para o experimento de IC 2017 foram realizados 4 cruzamentos (CCP 1001 X BRS 274; CCP 1001 X BRS 275; BRS 189 X BRS 274; e BRS 189 X BRS 275). O teste foi realizado com 774 SNPs para cada progênie/offspring ID (coluna A) e a coluna Candidate father (H) indica, quando significativo (coluna S), o provável pai do indivíduo. O Trio confidence (coluna S) indica a confiança dos genitores serem os verdadeiros (S) parentais ou não (caso 0.0 ou valores negativos na coluna R)." }, { "@descriptionType": "Abstract", "#text": "The data presented here are used to determine the precise parentage of controlled crosses of cashew complete sibling progenies. For the 2017 complete sibling, 4 crosses were made (CCP 1001 X BRS 274; CCP 1001 X BRS 275; BRS 189 X BRS 274; and BRS 189 X BRS 275). The test was carried out with 774 SNPs for each progeny/offspring ID (column A) and the Candidate father (H) column indicates, when significant (column S), the probable father of the individual. Trio confidence (column S) indicates the confidence of the parents being the true (S) parents or not (case 0.0 or negative values in column R)." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": [ { "funderName": "Embrapa", "awardNumber": "20.19.01.015.00.00" }, { "funderName": "CNPq", "awardNumber": "402659/2013‐9" }, { "funderName": "PRONEX/FAPDF/CNPq", "awardNumber": "0193.001198/2016" } ] } } }, { "embrapa_id": "doi:10.48432/8PO8GK", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/8PO8GK" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 1214 hectares in Cauaxi, Paragomina, Pará, Brasil in 2012.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Fazenda Cauaxi\" - CAU_A01_2012_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2012-07-27" }, { "@dateType": "Submitted", "#text": "2022-02-14" }, { "@dateType": "Updated", "#text": "2023-11-14" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "65274", "1546577920" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Fazenda Cauaxi (CAU_A01_2012_LiDAR) refers to the survey carried out in Paragominas municipality, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries;\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Fazenda Cauaxi (CAU_A01_2012_LiDAR) referem-se ao levantamento realizado no município de Paragominas, estado do Pará, Brasil. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20120727, 20120728 and 20120729\nLocation: Pará State, Brazil\nVendor: Geóid Ltda\nTechnician responsible/CREA: Mario Oscar de Souza Lima CREA-MG 12792/D\nDatum: Sirgas 2000\nUTM Zone coordinate system: 22S\nNumber of tiles: 20\nTotal area: 1214ha*\nAverage return density (point per square meter): 28.3ppm²*\nAverage first return density (point per square meter): 13.89ppm²*\nMaximum flight altitude: 850m\nField of view: 11°\nScanner specification ALTM 3100\nScanning frequency: 59.8 Hz\nGNSS Instrument Specification: APPLANIX, 09SEN243.\nGNSS Frequency: 5 Hz.\nIMU Instrument Specification: LITTON, 413996.\nIMU Frequency: 100 kHz\nPercentage of flightline overlap: 65%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Cauaxi, Paragomina, Para, Brasil" }, { "geoLocationBox": { "northBoundLatitude": "-3.7302256587", "eastBoundLongitude": "-48.46833", "westBoundLongitude": "-48.49591", "southBoundLatitude": "-3.76726" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/8VBDTO", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/8VBDTO" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "VidalNeto, Francisco das Chagas" }, "givenName": "Francisco das Chagas", "familyName": "VidalNeto", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9412-6955" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Barros, Levi de Moura" }, "givenName": "Levi de Moura", "familyName": "Barros", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0502-068X" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Paiva, João Rodrigues de" }, "givenName": "João Rodrigues de", "familyName": "Paiva", "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Cavalcanti, José Jaime Vasconcelos" }, "givenName": "José Jaime Vasconcelos", "familyName": "Cavalcanti", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-4510-7648" }, "affiliation": "Embrapa Algodão" } ] }, "titles": { "title": [ "Competição de clones de cajueiro anão-precoce conduzido na estação experimental de Paraipaba-CE no período de 2001-2004", { "@titleType": "AlternativeTitle", "#text": "Competition of precocious dwarf cashew tree clones conducted at the experimental station in Paraipaba-CE in the period 2001-2004" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_5956?clang=pt-BR", "@subjectScheme": "agrovoc", "#text": "melhoramento de plantas" }, { "@schemeURI": "https://sistemas.agricultura.gov.br/tematres/vocab/index.php?tema=4263", "@subjectScheme": "thesagro", "#text": "caju" }, { "@schemeURI": "https://sistemas.agricultura.gov.br/tematres/vocab/index.php?tema=3424&/anacardium-occidentale", "@subjectScheme": "thesagro", "#text": "Anacardium Occidentale" }, { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_5956", "@subjectScheme": "agrovoc", "#text": "Plant breeding" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Barros, Levi de Moura" }, "givenName": "Levi de Moura", "familyName": "Barros", "affiliation": "Embrapa Agroindústria Tropical" }, { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "VidalNeto, Francisco das Chagas" }, "givenName": "Francisco das Chagas", "familyName": "VidalNeto", "affiliation": "Embrapa Agroindústria Tropical" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "VidalNeto, Francisco das Chagas" }, "givenName": "Francisco das Chagas", "familyName": "VidalNeto", "affiliation": "Embrapa Agroindústria Tropical" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2022-11-08" }, { "@dateType": "Updated", "#text": "2023-05-09" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset" }, "sizes": { "size": [ "91648", "161792", "88064", "104960", "70144", "69120", "69632", "74240", "162304", "148480", "123904", "26624", "18944", "24576", "60928" ] }, "formats": { "format": [ "application/vnd.ms-excel", "application/vnd.ms-excel", "application/msword", "application/msword", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/vnd.ms-excel", "application/msword" ] }, "version": "1.0", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Dados obtidos de experimentos de competição de clones de caju, implantados em 2000 na estação experimental de Paraipaba, da Embrapa Agroindústria Tropical. O experimento gerou dados de 2001 a 2004. Foram coletados e comparados dados de produção de castanhas, número de castanhas, peso de castanha, altura de planta e diâmetro da copa das plantas e indicadores tecnológicos do beneficamento de castanha." }, { "@descriptionType": "Other", "#text": "Células indicadas com F representam amostras que apresentaram falha, ou seja, planta morta. As células vazias são devido a amostras sem produção naquela repetição, o que também pode ser devido a falha." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": { "funderName": "Embrapa" } } } }, { "embrapa_id": "doi:10.48432/92VJBE", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/92VJBE" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 235.7 hectares in Jacundá, Rondônia, Brasil in 2015.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Floresta Nacional de Jacundá\" - JAC_A02_2015_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "Agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "Agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "Agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "Agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "Agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "Agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Created", "#text": "2015-09-20" }, { "@dateType": "Submitted", "#text": "2022-02-09" }, { "@dateType": "Updated", "#text": "2023-11-14" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "35532", "640143360" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Floresta Nacional de Jacundá (JAC_A02_2015_LiDAR) refers to the survey carried out in Jacundá National Forest, Rondônia State, Brazil, as part of the Brazilian Forest Service monitoring program. The partnership between the Brazilian Forest Service and the Brazilian Agricultural Research Corporation (Embrapa) has made available high accuracy LiDAR data for the development of new methodologies and to expand the knowledge about forest management in concession areas.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered);\nb. Digital Terrain Model (vendor delivered);\nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Floresta Nacional de Jacundá (JAC_A02_2015_LiDAR) referem-se ao levantamento realizado na Floresta Nacional de Jacundá, Rondônia, Brasil, como parte do programa de monitoramento do Serviço Florestal Brasileiro. A parceria entre o Serviço Florestal Brasileiro e a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tem disponibilizado dados LiDAR de alta precisão para o desenvolvimento de novas metodologias e ampliação do conhecimento sobre manejo florestal em áreas de concessão.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS classificados – arquivos LAS compactados: formato LAZ (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 2.4" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 15" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20150920 and 20150921\nLocation: Jacundá National Forest, Rondônia State, Brazil\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 20S\nNumber of tiles: 6\nTotal area: 235.7ha\nAverage return density (point per square meter): 66.94ppm2\nAverage first return density (point per square meter): 44.43ppm2\nAverage flight altitude: 700m\nField of view: 15°\nScanner specification OPTECH/ ALTM 3100/ 05SEN171\nScanning frequency: 40Hz\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency: 1Hz\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency: 200kHz\nPercentage of flightline overlap: 70%" } ] }, "geoLocations": { "geoLocation": [ { "geoLocationPlace": "Jacundá, Rondonia, Brasil" }, { "geoLocationBox": { "eastBoundLongitude": "-62.92184053719678", "northBoundLatitude": "-8.5293644079159", "westBoundLongitude": "-62.9263924223307", "southBoundLatitude": "-8.572006820324999" } } ] }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/9OUYDX", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/9OUYDX" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "LiDAR survey on 244 hectares in Ucayali, Peru in 2017.", { "@titleType": "AlternativeTitle", "#text": "LiDAR data set \"Ucayali\" - PRU_A26_2017_LiDAR" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_6498", "@subjectScheme": "agrovoc", "#text": "remote sensing" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_c3ea7f1d", "@subjectScheme": "agrovoc", "#text": "LIDAR" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_35131", "@subjectScheme": "agrovoc", "#text": "sistema de informação geográfica" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "cobertura florestal" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_7ffc9d69", "@subjectScheme": "agrovoc", "#text": "land environment" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-21" }, { "@dateType": "Updated", "#text": "2023-11-22" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "LiDAR data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "5", "27835", "1375088640" ] }, "formats": { "format": [ "application/x-director", "application/zipped-shapefile", "application/x-tar" ] }, "version": "1.1", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/openAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The LiDAR data Ucayali (PRU_A26_2017_LiDAR) refers to the survey carried out in Ucayali region, Peru. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\nThis dataset contains:\na. Classified LAS formatted point cloud data (vendor delivered); \nb. Digital Terrain Model (vendor delivered); \nc. Map of LiDAR coverage area and block boundaries; \n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "Os dados LiDAR Ucayali (PRU_A26_2017_LiDAR) referem-se à pesquisa realizada na região de Ucayali, Peru. Os dados foram coletados no âmbito do projeto Paisagens Sustentáveis, um projeto apoiado pela Agência dos Estados Unidos para o Desenvolvimento Internacional (USAID) e Departamento de Estado dos EUA. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agropecuária (Embrapa) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\nEste conjunto de dados contém:\na. Dados de nuvem de pontos formatados em LAS (entregue pelo fornecedor);\nb. Modelo Digital de Terreno (entregue pelo fornecedor);\nc. Mapa da área de cobertura LiDAR e limites dos blocos;\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "TechnicalInfo", "#text": "Optech Disk Extractor, 7.0" }, { "@descriptionType": "TechnicalInfo", "#text": "POSPAC MMS, 7.1" }, { "@descriptionType": "TechnicalInfo", "#text": "LMS, 3.1" }, { "@descriptionType": "TechnicalInfo", "#text": "Bentley MicroStation, V8" }, { "@descriptionType": "TechnicalInfo", "#text": "TerraSolid, 16" }, { "@descriptionType": "Other", "#text": "Acquisition date(s): 20170911\nLocation: Ucayali region, Peru\nVendor: SAI - Serviços Aéreos Industriais Especializados\nTechnician responsible/CREA: Jadir de Souza Moreira - CREA/SP 5.062.343.692\nDatum: Sirgas 2000\nUTM Zone coordinate system: 18S\nNumber of tiles: 9\nTotal area: 244 ha\nAverage return density (point per square meter): 45.93 ppm2\nAverage flight altitude: 850m\nField of view: 15°\nScanner specification OPTECH/ ALTM 3100/ 05SEN171\nScanning frequency: 40Hz\nGNSS Instrument Specification: OMNISTAR / PGPS16 / 5682\nGNSS Frequency: 1Hz\nIMU Instrument Specification: APLANNIX/ Av510 IMU8/ 2119\nIMU Frequency: 200kHz\nPercentage of flightline overlap: 70%" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-74.7269848339", "westBoundLongitude": "-74.7370698987", "southBoundLatitude": "-8.5282662416", "northBoundLatitude": "-8.50815792059" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } }, { "embrapa_id": "doi:10.48432/9VLB11", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/9VLB11" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-4032-3106" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Silva Junior, Orzenil Bonfim da" }, "givenName": "Orzenil Bonfim da", "familyName": "Silva Junior", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-2104-2010" }, "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" }, { "creatorName": { "@nameType": "Personal", "#text": "Torres, Yan" }, "givenName": "Yan", "familyName": "Torres", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-5520-4092" }, "affiliation": "Universidade Federal do Ceará" }, { "creatorName": { "@nameType": "Personal", "#text": "Melo, Dheyne Silva" }, "givenName": "Dheyne Silva", "familyName": "Melo", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-9961-7286" }, "affiliation": "Embrapa Agroindústria Tropical" }, { "creatorName": { "@nameType": "Personal", "#text": "Grattapaglia, Dario" }, "givenName": "Dario", "familyName": "Grattapaglia", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0050-970X" }, "affiliation": "Embrapa Recursos Genéticos e Biotecnologia" } ] }, "titles": { "title": [ "Determinação do grau de parentesco em progênies de cajueiro.", { "@titleType": "AlternativeTitle", "#text": "Determining the degree of relationship in cashew tree progenies." } ] }, "publisher": "Redape", "publicationYear": "2024", "subjects": { "subject": [ "Agricultural Sciences", { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_378", "@subjectScheme": "Agrovoc", "#text": "Anacardium occidentale" }, { "@schemeURI": "https://sistemas.agricultura.gov.br/tematres/vocab/index.php?tema=1140", "@subjectScheme": "Thesagro", "#text": "híbrido" }, { "@schemeURI": "https://agrovoc.fao.org/browse/agrovoc/en/page/c_5956", "@subjectScheme": "Agrovoc", "#text": "melhoramento de plantas" } ] }, "contributors": { "contributor": [ { "@contributorType": "ContactPerson", "contributorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "affiliation": "Embrapa Agroindústria Tropical" }, { "@contributorType": "Producer", "contributorName": { "@nameType": "Personal", "#text": "Bordallo, Patricia do Nascimento" }, "givenName": "Patricia do Nascimento", "familyName": "Bordallo", "affiliation": "Embrapa Agroindústria Tropical" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-08-22" }, { "@dateType": "Updated", "#text": "2024-08-06" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Dados experimentais" }, "sizes": { "size": [ "9240", "9259", "8712", "9274", "412140" ] }, "formats": { "format": [ "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "text/tab-separated-values", "application/pdf" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "Os dados aqui apresentados são usados para determinar o parentesco preciso de cruzamentos controlados de progênies de irmãos completos (IC) de cajueiro. Para o experimento de IC 2013 foram realizados 4 cruzamentos (CCP76 x BRS226; CCP1001 x CCP76; CCP1001 x BRS226; e CCP1001 x PRO555/1). O teste foi realizado com 2409 SNPs para cada progênie/offspring ID (coluna A) e a coluna Candidate father (H) indica, quando significativo (coluna S), o provável pai do indivíduo. O Trio confidence (coluna S) indica a confiança dos genitores serem os verdadeiros (S) parentais ou não (caso 0.0 ou valores negativos na coluna R)." }, { "@descriptionType": "Abstract", "#text": "The data presented here is used to determine the accurate parentage of controlled crosses of cashew complete sibling progenies. For the 2013 CI experiment, 4 crosses were made (CCP76 x BRS226; CCP1001 x CCP76; CCP1001 x BRS226; and CCP1001 x PRO555/1). The test was carried out with 2409 SNPs for each progeny/offspring ID (column A) and the Candidate father (H) column indicates, when significant (column S), the probable father of the individual. Trio confidence (column S) indicates the confidence of the parents being the true (S) parents or not (case 0.0 or negative values in column R)." } ] }, "geoLocations": null, "fundingReferences": { "fundingReference": [ { "funderName": "Embrapa", "awardNumber": "20.19.01.015.00.00" }, { "funderName": "CNPq", "awardNumber": "402659/2013‐9" }, { "funderName": "PRONEX/FAPDF/CNPq", "awardNumber": "0193.001198/2016" } ] } } }, { "embrapa_id": "doi:10.48432/9ZQGC5", "metadata_datacite": { "@{http://www.w3.org/2001/XMLSchema-instance}schemaLocation": "http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd", "identifier": { "@identifierType": "DOI", "#text": "10.48432/9ZQGC5" }, "creators": { "creator": [ { "creatorName": { "@nameType": "Personal", "#text": "Santos, Maiza Nara dos" }, "givenName": "Maiza Nara dos", "familyName": "Santos", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0003-2720-2393" } }, { "creatorName": { "@nameType": "Personal", "#text": "Keller, Michael" }, "givenName": "Michael", "familyName": "Keller", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0002-0253-3359" }, "affiliation": "USDA Forest Service" }, { "creatorName": { "@nameType": "Personal", "#text": "Batistella, Mateus" }, "givenName": "Mateus", "familyName": "Batistella", "nameIdentifier": { "@nameIdentifierScheme": "ORCID", "#text": "0000-0001-7748-5497" }, "affiliation": "Embrapa Agricultura Digital" } ] }, "titles": { "title": [ "Forest Inventory on 2.5 hectares in Tapajós, Belterra, Pará, Brasil in 2018.", { "@titleType": "AlternativeTitle", "#text": "Forest Inventory dataset for \"Floresta Nacional do Tapajós\" - TAP_A03_2018_Inventory" } ] }, "publisher": "Redape", "publicationYear": "2023", "subjects": { "subject": [ "Agricultural Sciences", "Earth and Environmental Sciences", { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_331593", "@subjectScheme": "agrovoc", "#text": "forest degradation" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_9000180", "@subjectScheme": "agrovoc", "#text": "forest cover" }, { "@schemeURI": "http://aims.fao.org/aos/agrovoc/c_24174", "@subjectScheme": "agrovoc", "#text": "forest inventories" } ] }, "contributors": { "contributor": [ { "@contributorType": "Producer", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Drucker, Debora Pignatari" }, "givenName": "Debora Pignatari", "familyName": "Drucker" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Morton, Douglas" }, "givenName": "Douglas", "familyName": "Morton" }, { "@contributorType": "ProjectMember", "contributorName": { "@nameType": "Personal", "#text": "Pinagé, Ekena Rangel" }, "givenName": "Ekena Rangel", "familyName": "Pinagé" }, { "@contributorType": "DataManager", "contributorName": { "@nameType": "Personal", "#text": "Victoria, Daniel de Castro" }, "givenName": "Daniel de Castro", "familyName": "Victoria" }, { "@contributorType": "Distributor", "contributorName": "Embrapa", "affiliation": "Empresa Brasileira de Pesquisa Agropecuária" } ] }, "dates": { "date": [ { "@dateType": "Submitted", "#text": "2023-03-01" }, { "@dateType": "Updated", "#text": "2024-01-30" } ] }, "resourceType": { "@resourceTypeGeneral": "Dataset", "#text": "Inventory data" }, "alternateIdentifiers": { "alternateIdentifier": { "@alternateIdentifierType": "DOI", "#text": "10.3334/ORNLDAAC/1644" } }, "relatedIdentifiers": { "relatedIdentifier": { "@relationType": "IsCitedBy", "@relatedIdentifierType": "DOI", "#text": "10.1002/2016GB005465" } }, "sizes": { "size": [ "228729", "271447", "5", "2089" ] }, "formats": { "format": [ "text/tab-separated-values", "application/pdf", "application/x-director", "application/zipped-shapefile" ] }, "version": "1.2", "rightsList": { "rights": [ { "@rightsURI": "info:eu-repo/semantics/restrictedAccess" }, { "@rightsURI": "https://www.redape.dados.embrapa.br/licenses/embrapa-by-nc-4.0.xhtml", "#text": "Embrapa (CC BY-NC 4.0)" } ] }, "descriptions": { "description": [ { "@descriptionType": "Abstract", "#text": "The Forest Inventory data set Floresta Nacional do Tapajós (TAP_A03_2018_Inventory) refers to the inventory carried out in Tapajós National Forest, Pará state to serve the purpose of calibration and validation to the LiDAR data obtained in the same area. The United States Forest Service working in collaboration with the Brazilian Enterprise for Agricultural Research (EMBRAPA) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field.\n\n This dataset contains:\n a. A comma separated value (CSV) file format containing the data;\n b. A readme Portable Document file (PDF) format which provides information about the .csv file content, explanation of each section of the document and any complement necessary.\n c. Map of Forest Inventory Plots carried out in the area (shapefile)\n\n“Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State.\"" }, { "@descriptionType": "Abstract", "#text": "O conjunto de dados do Inventário Florestal Floresta Nacional do Tapajós (TAP_A03_2018_Inventário) refere-se ao inventário realizado na Floresta Nacional do Tapajós, estado do Pará, para servir de calibração e validação aos dados LiDAR obtidos na mesma área. O Serviço Florestal dos Estados Unidos trabalhando em colaboração com a Empresa Brasileira de Pesquisa Agrícola (EMBRAPA) tornou possível o fornecimento de dados LiDAR de alta precisão com o objetivo de desenvolver novos métodos e gerar conhecimento no campo.\n\n Este conjunto de dados contém:\n a. Um formato de arquivo de valor separado por vírgula (CSV) contendo os dados;\n b. Um arquivo leia-me Portable Document file (PDF) que fornece informações sobre o conteúdo do arquivo .csv, explicação de cada seção do documento e qualquer complemento necessário.\n c. Mapa das Parcelas de Inventário Florestal realizadas na área (shapefile)\n\n“Os dados foram adquiridos pelo projeto Paisagens Sustentáveis ​​Brasil, apoiado pela Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Serviço Florestal dos EUA, USAID e Departamento de Estado dos EUA.”" }, { "@descriptionType": "Other", "#text": "**Area General Information**\nArea name: Tapajós National Forest\nArea code: TAP_A03_2018\nMunicipality: Santarém\nState: Pará\nCountry: Brazil\nUTM Zone: 21S\n**Forest Inventory Information**\nTotal number of plots: 10\nPlot dimensions (m): 50x50\nPlot area (ha): 0.25\nPlot inclusion criteria: all trees with DBH >=35cm\nSub-plot dimensions (m): 50x20\nSub-plot area (ha): 0.1\nPlot inclusion criteria: all trees with DBH >=10cm\nTotal area inventoried (ha): 2.5\n**Data originator**\nInstitution: Dendrolog Engenharia Florestal" } ] }, "geoLocations": { "geoLocation": { "geoLocationBox": { "eastBoundLongitude": "-54.948353964303955", "westBoundLongitude": "-54.96035904087706", "northBoundLatitude": "-3.1142843843464822", "southBoundLatitude": "-3.135743404661295" } } }, "fundingReferences": { "fundingReference": { "funderName": "US Department of State", "awardNumber": "USAID" } } } } ]