cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48432/pw1y1g
title: LiDAR survey on 1049 hectares in Tapajós, Belterra, Pará, Brasil in 2012.

description: The LiDAR data Floresta Nacional do Tapajós (TAP_A01_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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.w87ner
title: Occurrence Download

description: A dataset containing 1145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunbergia alata Bojer ex Sims",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1145 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103956-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke22rt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neomariania incertella (Rebel, 1940))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103957-240626123714530/datasets/export for details.
DOI: 10.15468/dl.k7a8fu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cis ragusai Roubal, 1916",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103958-240626123714530/datasets/export for details.
DOI: 10.48432/fjlchr
title: LiDAR survey on 340 hectares in Tapajós, Belterra, Pará, Brasil in 2013.

description: The LiDAR data Floresta Nacional do Tapajós (TAP_A02_2013_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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.b6z3yu
title: Occurrence Download

description: A dataset containing 2200050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INPN - Données flore des CBN agrégées par la FCBN",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 2200050 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103830-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/2f0tv1
title: LiDAR survey on 671 hectares in Tapajós, Belterra, Pará, Brasil in 2012.

description: 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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.nuwzpu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Schendyla varnensis Kaczmarek, 1969",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103959-240626123714530/datasets/export for details.
DOI: 10.15468/dl.a6twsr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tenuiphantes striatiscapus (Wunderlich, 1987)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103961-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3c889w
title: Occurrence Download

description: A dataset containing 187395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "Geometry POLYGON((-101.52004 18.75237,-97.84456 18.75237,-97.84456 20.91698,-101.52004 20.91698,-101.52004 18.75237))",
 "TaxonKey is Plantae",
 "Year 1980-2024"
 ]
}

 The dataset includes 187395 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103909-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tdv9g
title: Occurrence Download

description: A dataset containing 17145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Colombia, Brazil)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Coordinate rounded",
 "OccurrenceStatus is Present",
 "TaxonKey is Avicennia germinans (L.) L."
 ]
}

 The dataset includes 17145 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103962-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8fhc6
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Calanthea pulcherrima (Jacq.) Miers)"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103960-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4ajjr
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus ravus Cope, 1865"
 ]
}

 The dataset includes 1049 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103963-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9surf4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinea poecilella Rebel, 1940)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103965-240626123714530/datasets/export for details.
DOI: 10.15468/dl.8hjqq4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Calanthea pulcherrima (Jacq.) Miers)"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103964-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/hkchbu
title: LiDAR survey on 311.63 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2015.

description: The LiDAR data "Floresta Nacional de Saracá-Taquera (FST_A06_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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15151/esrf-es-267123768
title: IBS BAG

description: IBS BAG
DOI: 10.15468/dl.6ememg
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cis striatulus Mellié, 1848",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 120 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103966-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpk6fr
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tilapia rendalli (Boulenger, 1897)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 168 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103967-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bexb64
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Schendyla vizzavonae Léger & Duboscq, 1903",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103968-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/76oa82
title: LiDAR survey on 119.03 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2015.

description: 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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.yve5yh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tenuiphantes palmensis (Wunderlich, 1992)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103969-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wfje7j
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rodent composition of urban and forested areas in Potsdam, Germany"
 ]
}

 The dataset includes 500 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103970-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tykcub
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rodent composition of urban and forested areas in Potsdam, Germany"
 ]
}

 The dataset includes 500 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103971-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/ixrnxl
title: LiDAR survey on 71.17 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2015.

description: The LiDAR data Floresta Nacional de Saracá-Taquera (FST_A07_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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.pqdcvs
title: Occurrence Download

description: A dataset containing 1027 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-115.2131 -45.17767,-26.7869 -45.17767,-26.7869 -9.82233,-115.2131 -9.82233,-115.2131 -45.17767))",
 "Geometry POLYGON((-72.11577 -33.53082,-70.6439 -33.53082,-70.6439 -32.17475,-72.11577 -32.17475,-72.11577 -33.53082))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pasithea caerulea (Ruiz & Pav.) D.Don"
 ]
}

 The dataset includes 1027 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103972-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.heh4ej
title: Occurrence Download

description: A dataset containing 2622207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dutch Vegetation Database",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 2622207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103828-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/1ugjpz
title: LiDAR survey on 579.66 hectares in Tapajós, Belterra, Pará, Brasil in 2008.

description: 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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.atnwqt
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arundo donax L."
 ]
}

 The dataset includes 55 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103973-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48432/xzmt9s
title: LiDAR survey on 670 hectares in Tapajós, Belterra, Pará, Brasil in 2016.

description: The LiDAR data Floresta Nacional do Tapajós (TAP_A03_2016_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. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “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."
DOI: 10.15468/dl.tmj6r8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gopherus agassizii (Cooper, 1861))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103974-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.