cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6eur8f
title: Occurrence Download

description: A dataset containing 633986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 633986 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064866-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36n5ac
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Fingerhuthia sesleriiformis Nees",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064880-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4t7qkx
title: Occurrence Download

description: A dataset containing 3437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Henosepilachna vigintioctopunctata (Fabricius, 1775)"
 ]
}

 The dataset includes 3437 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064882-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s36upx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella mesiana Cholnoky, 1955",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064884-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gdsjeh
title: Occurrence Download

description: A dataset containing 1184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.56386 72.96094,-117.7119 72.96094,-117.7119 74.2903,-120.56386 74.2903,-120.56386 72.96094))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1184 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064883-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.458nxq
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myodocarpus fraxinifolius Brongn. & Gris"
 ]
}

 The dataset includes 425 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064885-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15495070
title: Data and analysis from: Feasibility of electrical stimulation eccentric training: A pilot study

description: Presented here is the R script for the data treatment and presentation for an article.
DOI: 10.5281/zenodo.15720526
title: Data and analysis from: Feasibility of electrical stimulation eccentric training: A pilot study

description: Presented here is the R script for the data treatment and presentation for an article.
DOI: 10.15468/dl.kusyqs
title: Occurrence Download

description: A dataset containing 4676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylastes ater Erichson, 1836"
 ]
}

 The dataset includes 4676 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064888-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqxkbb
title: Occurrence Download

description: A dataset containing 2637 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonystylus Teijsm. & Binn."
 ]
}

 The dataset includes 2637 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064886-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8cqt8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella mesiana Cholnoky, 1955",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064887-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15198675
title: Global Pasture Watch - Annual short vegetation height maps at 30-m spatial resolution (2000—2022)

description: Sub-dataset: Median vegetation height, 2020—2021

Description

Global annual maps of median vegetation height for 2000—2022 produced within the scope of the Global Pasture Wath initiative, integrating multi-sensor remote sensing data (LIDAR ICESat-2, Landsat, MODIS and DTM) and based on spatiotemporal Machine Learning (Gradient boosting trees). While the primary focus is on improving monitoring in short vegetation ecosystems, the dataset provides wall-to-wall coverage to all terrestrial ecosystems and is organized in 70 global mosaics in COG (Cloud Optimized GeoTIFF) format, WGS84 Coordinate Systems (EPSG:4326) and pixel size equal to 0.00025 (STAC and GEE) and 0.00075 degrees (Zenodo), including:



Median vegetation height: 



Mean predicted value: 23 annual maps with values range from 0–20 (embedded scale factor 0.1)

Percentile 5th value (upper prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1)

Percentile 95th value (lower prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1)



Trend analysis (2000—2022):



Linear regression intercept (filtered p-value < 0.05, Mann-Kendall test): 1 long-term map with values range from -0.92–0.7 (embedded scale factor 0.0001)




All raster files are in 16-bit integer format and use -3200 as no-data value (pixels covering ocean waters, lakes and water bodie), following an specific naming convention:



Project name: Global Pasture Watch (gpw)

Class name: Short vegetation height (short.veg.height)

Procedure combination:  Ensemble Gradient Boosting Trees (egbt),  trend/intercept derived per-pixel via linear regression (trend), Mann-Kendall test (mk).

Variable type: mean predicted value (m), 5th (p.05) and 95th percentiles (p.95)

Spatial resolution: 30m

Begin of time reference: date of first Landsat composite used by the modeling (20220101)

End of time reference: date of last Landsat composite used by the modeling (20221231)

Spatial extent: global (go)

Coordinate system: World Geodetic System 1984, used in GPS (epsg.4326)

Version: v1


In line with a request from our funders, short vegetation maps maps will remain under embargo in Zenodo until the final acceptance of peer-reviewed publication. They can be accessed during the reviewing process by filling-in a form via Global Pasture Watch Early Access data program (https://survey.alchemer.com/S3/7859804/Pasture-Early-Adopters). All modeling framework is publicly available at: https://github.com/wri/global-pasture-watch and we are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources



Maps of median vegetation height:2000-2001 2002-2003 2004-2005 2006-2007 2008-2009 2010-2011 2012-2013 2014-2015 2016-2017 2018-2019 2020-2021 2022

Trend analysis map:2000—2022

Global reference samples and machine learning models:Parquet and joblib python files
DOI: 10.5281/zenodo.15198676
title: Global Pasture Watch - Annual short vegetation height maps at 30-m spatial resolution (2000—2022)

description: Sub-dataset: Median vegetation height, 2020—2021

Description

Global annual maps of median vegetation height for 2000—2022 produced within the scope of the Global Pasture Wath initiative, integrating multi-sensor remote sensing data (LIDAR ICESat-2, Landsat, MODIS and DTM) and based on spatiotemporal Machine Learning (Gradient boosting trees). While the primary focus is on improving monitoring in short vegetation ecosystems, the dataset provides wall-to-wall coverage to all terrestrial ecosystems and is organized in 70 global mosaics in COG (Cloud Optimized GeoTIFF) format, WGS84 Coordinate Systems (EPSG:4326) and pixel size equal to 0.00025 (STAC and GEE) and 0.00075 degrees (Zenodo), including:



Median vegetation height: 



Mean predicted value: 23 annual maps with values range from 0–20 (embedded scale factor 0.1)

Percentile 5th value (upper prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1)

Percentile 95th value (lower prediction boundary): 23 annual maps with values range from 0–20 (embedded scale factor 0.1)



Trend analysis (2000—2022):



Linear regression intercept (filtered p-value < 0.05, Mann-Kendall test): 1 long-term map with values range from -0.92–0.7 (embedded scale factor 0.0001)




All raster files are in 16-bit integer format and use -3200 as no-data value (pixels covering ocean waters, lakes and water bodie), following an specific naming convention:



Project name: Global Pasture Watch (gpw)

Class name: Short vegetation height (short.veg.height)

Procedure combination:  Ensemble Gradient Boosting Trees (egbt),  trend/intercept derived per-pixel via linear regression (trend), Mann-Kendall test (mk).

Variable type: mean predicted value (m), 5th (p.05) and 95th percentiles (p.95)

Spatial resolution: 30m

Begin of time reference: date of first Landsat composite used by the modeling (20220101)

End of time reference: date of last Landsat composite used by the modeling (20221231)

Spatial extent: global (go)

Coordinate system: World Geodetic System 1984, used in GPS (epsg.4326)

Version: v1


In line with a request from our funders, short vegetation maps maps will remain under embargo in Zenodo until the final acceptance of peer-reviewed publication. They can be accessed during the reviewing process by filling-in a form via Global Pasture Watch Early Access data program (https://survey.alchemer.com/S3/7859804/Pasture-Early-Adopters). All modeling framework is publicly available at: https://github.com/wri/global-pasture-watch and we are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources



Maps of median vegetation height:2000-2001 2002-2003 2004-2005 2006-2007 2008-2009 2010-2011 2012-2013 2014-2015 2016-2017 2018-2019 2020-2021 2022

Trend analysis map:2000—2022

Global reference samples and machine learning models:Parquet and joblib python files
DOI: 10.15468/dl.k5bwnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella mesiana Cholnoky, 1955",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064890-250525065834625/datasets/export for details.
DOI: 10.48597/jbu5-5zq7
title: Particle_number_size_distribution at Birkenes II

description: Measurement of Particle_number_size_distribution at Birkenes II
DOI: 10.48597/ppag-9whj
title: Measurement of Particle_number_size_distribution at Birkenes II

description: Measurement of Particle_number_size_distribution at Birkenes II
DOI: 10.48597/venu-tra8
title: Measurement of Particle_number_size_distribution at Birkenes II

description: Measurement of Particle_number_size_distribution at Birkenes II
DOI: 10.25403/upresearchdata.27854280
title: Interactive qualitative analysis focus group of internal audit practitioners to explore the development of internal auditors’ professional identity

description: The interactive qualitative analysis (IQA) focus group enabled participants to identify the key components applicable to the development of internal auditors’ professional identity and to apply axial coding to define affinities. Thirteen internal audit practitioners participated in the study. During the focus group, the practitioners identified 110 elements grouped into twelve affinities. Subsequent to the focus group, the participants described pairwise relationships between the affinities and further defined these in a detailed affinity relationship form that was consolidated into a table. The participants then indicated their belief as to whether a relationship existed between the affinities with 618 indicators for a possible 132 relationships. These were then consolidated in an affinity pair relationship frequency table that, together with the affinity definitions, formed the basis of further analysis.
DOI: 10.25403/upresearchdata.27854280.v1
title: Interactive qualitative analysis focus group of internal audit practitioners to explore the development of internal auditors’ professional identity

description: The interactive qualitative analysis (IQA) focus group enabled participants to identify the key components applicable to the development of internal auditors’ professional identity and to apply axial coding to define affinities. Thirteen internal audit practitioners participated in the study. During the focus group, the practitioners identified 110 elements grouped into twelve affinities. Subsequent to the focus group, the participants described pairwise relationships between the affinities and further defined these in a detailed affinity relationship form that was consolidated into a table. The participants then indicated their belief as to whether a relationship existed between the affinities with 618 indicators for a possible 132 relationships. These were then consolidated in an affinity pair relationship frequency table that, together with the affinity definitions, formed the basis of further analysis.
DOI: 10.15468/dl.ac2d9p
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 237 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064893-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j67aa4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella mesiana Cholnoky, 1955",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064891-250525065834625/datasets/export for details.
DOI: 10.15468/dl.4mdy4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Gymnosporia capitata (E.Mey. ex Sond.) Sim",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064892-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15716345
title: Checklist of the vascular flora of the Cantabrian Mixed Forests ecoregion
title: BBDD_2025_CantabrianMixedForests

description: Floristic data on vascular plant species of the Cantabrian Mixed Forests: Supplementary Information

The Cantabrian Mixed Forests, located in areas of Spain, Portugal, and France, serve as an essential biogeographic transition region noted for its extraordinary plant diversity and ecological intricacy. To aid conservation and research initiatives, a uniform checklist of vascular plants was created, incorporating information from citizen science platforms, scientific databases, herbarium records, and local floras. The outcome is a carefully selected collection of more than 8,000 taxa, with over 76% recognized as native, highlighting the area's importance as a reservoir of biodiversity and a climate refuge. Taxonomic discrepancies were resolved via expert verification and adherence to international naming standards, offering a dependable basis for ecological research. The checklist demonstrates notable variation in organisms, ecological approaches, and evolutionary lineages, influenced by geographical diversity, climate variations, and past land-use patterns. Importantly, the study emphasizes the drawbacks of unchecked biodiversity data and shows the benefits of expert-driven synthesis for addressing gaps and biases in species documentation. The floristic information created here acts as a basis for transboundary conservation planning, ongoing biodiversity tracking, and the development of adaptive management approaches in response to climate change and ecological decline. This initiative represents an important move towards safeguarding the distinct natural heritage of of this distinctive biogeographic region.
DOI: 10.5281/zenodo.15716346
title: Checklist of the vascular flora of the Cantabrian Mixed Forests ecoregion
title: BBDD_2025_CantabrianMixedForests

description: Floristic data on vascular plant species of the Cantabrian Mixed Forests: Supplementary Information

The Cantabrian Mixed Forests, located in areas of Spain, Portugal, and France, serve as an essential biogeographic transition region noted for its extraordinary plant diversity and ecological intricacy. To aid conservation and research initiatives, a uniform checklist of vascular plants was created, incorporating information from citizen science platforms, scientific databases, herbarium records, and local floras. The outcome is a carefully selected collection of more than 8,000 taxa, with over 76% recognized as native, highlighting the area's importance as a reservoir of biodiversity and a climate refuge. Taxonomic discrepancies were resolved via expert verification and adherence to international naming standards, offering a dependable basis for ecological research. The checklist demonstrates notable variation in organisms, ecological approaches, and evolutionary lineages, influenced by geographical diversity, climate variations, and past land-use patterns. Importantly, the study emphasizes the drawbacks of unchecked biodiversity data and shows the benefits of expert-driven synthesis for addressing gaps and biases in species documentation. The floristic information created here acts as a basis for transboundary conservation planning, ongoing biodiversity tracking, and the development of adaptive management approaches in response to climate change and ecological decline. This initiative represents an important move towards safeguarding the distinct natural heritage of of this distinctive biogeographic region.
DOI: 10.15468/dl.mykp24
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Hordeum capense Thunb.",
 "Geometry POLYGON((29.76451 -26.09643, 32.1599 -26.09643, 32.1599 -22.51877, 29.76451 -22.51877, 29.76451 -26.09643))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064894-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8ruaxg
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myrtastrum rufopunctatum (Pancher ex Brongn. & Gris) Burret"
 ]
}

 The dataset includes 299 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064895-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29382101
title: <b>Supplemental Table S9.</b> Associations of aerobic fitness level (a) and body fat percentage (b) with serum profiles of lipoproteins, lipid classes and metabolites. All models were adjusted for lean mass (kg).

description: Associations of aerobic fitness level (a) and body fat percentage (b) with serum profiles of lipoproteins, lipid classes and metabolites. All models were adjusted for lean mass (kg).
DOI: 10.6084/m9.figshare.29382101.v1
title: <b>Supplemental Table S9.</b> Associations of aerobic fitness level (a) and body fat percentage (b) with serum profiles of lipoproteins, lipid classes and metabolites. All models were adjusted for lean mass (kg).

description: Associations of aerobic fitness level (a) and body fat percentage (b) with serum profiles of lipoproteins, lipid classes and metabolites. All models were adjusted for lean mass (kg).