cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14933659
title: Global Pasture Watch - Annual cattle density layers at 1-km for 2000–2022 (including 95% prediction interval)

description: Global annual layers of cattle density at 1-km spatial resolution convering the period of 2000–2022. The layers were produced using harmonized and used as reference data (55,336 census polygons and 313,604 individual data entries), random forest predictive models and a large stack of multi-source harmonized gridded/raster spatial layers (128 individual raster spatial layers harmonized at 1 km spatial resolution). 

Pixels values represent heads km-square including:



Mean predicted values (_m_)

Upper prediction interval based on 97.5th percentiles (_p.975_)

Lower prediction interval based on 2.5th percentiles (_p.025_)


Based on 95% probability quantiles, prediction intervals are relatively wide; therefore, for a more effective use, we recommend converting them to standard deviation by dividing the range (p.975 - p.025) by four.

Raw/Uncalibrated headcounts are also provided and were computed by multiplying the density values by the actual area of potential land for livestock production.

In line with a request from our funders, livestock Layers 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 presented in this work is publicly available at: https://github.com/wri/global-pasture-watch. We are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources



Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):All animals (Part-1)  All animals (Part-2)

Maps of livestock density for 2000—2022 (including 95% prediction interval):Cattle   Goats   Sheep   Horses   Buffaloes

Livestock reference census data (2000–2022):CSV and GeoPackage files

Maps potential land for livestock production for 2000—2022 (including production systems)Raster files

Data catalogues:OpenLandMap STAC Google Earth Engine
DOI: 10.5281/zenodo.17486471
title: Global Pasture Watch - Annual cattle density layers at 1-km for 2000–2022 (including 95% prediction interval)

description: Global annual layers of cattle density at 1-km spatial resolution convering the period of 2000–2022. The layers were produced using harmonized and used as reference data (55,336 census polygons and 313,604 individual data entries), random forest predictive models and a large stack of multi-source harmonized gridded/raster spatial layers (128 individual raster spatial layers harmonized at 1 km spatial resolution). 

Pixels values represent heads km-square including:



Mean predicted values (_m_)

Upper prediction interval based on 97.5th percentiles (_p.975_)

Lower prediction interval based on 2.5th percentiles (_p.025_)


Based on 95% probability quantiles, prediction intervals are relatively wide; therefore, for a more effective use, we recommend converting them to standard deviation by dividing the range (p.975 - p.025) by four.

Raw/Uncalibrated headcounts are also provided and were computed by multiplying the density values by the actual area of potential land for livestock production.

In line with a request from our funders, livestock Layers 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 presented in this work is publicly available at: https://github.com/wri/global-pasture-watch. We are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources



Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):All animals (Part-1)  All animals (Part-2)

Maps of livestock density for 2000—2022 (including 95% prediction interval):Cattle   Goats   Sheep   Horses   Buffaloes

Livestock reference census data (2000–2022):CSV and GeoPackage files

Maps potential land for livestock production for 2000—2022 (including production systems)Raster files

Data catalogues:OpenLandMap STAC Google Earth Engine
DOI: 10.5517/ccdc.csd.cc2k2fx0
title: CCDC 2355842: Experimental Crystal Structure Determination

description: Related Article: Xichao Peng, Jianqiang Feng, Fulu Liu, Wen-Zheng Xie, Hailong Sun, Yuanyuan Xu, Yang Ming, Zhongqiu Xing, Yu Zheng, Binju Wang, Yi-Tao Long, Xiaoqiang Huang |2025|Nat. Synth.|||doi:10.1038/s44160-025-00866-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25430/researchdata.cab.unipd.it.00001692
title: Data on alpine marmot (Marmota marmota) diet and pasture quality

description: Data include the results of Marmots’ faecal samples (n = 50) analysed for the presence of plant specimens through metabarcoding analysis (chloroplast trnL intron region).
Samples were collected from June to August 2022 from 4 colonies of alpine marmot in Paneveggio Pale di San Martino Natural Park (TN, Italy).
Data on pastures include the proportion of plant species through the Daget-Poissonet point-intercept method on linear transects and nutritional composition analyseed from samples taken on the same transects within each marmot family unit territory.
DOI: 10.5517/ccdc.csd.cc2k55jg
title: CCDC 2358465: Experimental Crystal Structure Determination

description: Related Article: Xichao Peng, Jianqiang Feng, Fulu Liu, Wen-Zheng Xie, Hailong Sun, Yuanyuan Xu, Yang Ming, Zhongqiu Xing, Yu Zheng, Binju Wang, Yi-Tao Long, Xiaoqiang Huang |2025|Nat. Synth.|||doi:10.1038/s44160-025-00866-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ldk5r
title: CCDC 2395344: Experimental Crystal Structure Determination

description: Related Article: Ze-Jiang Xu, Hua-Kai Li, Mei-Ling Ren, Liang-Han Shen, Xiang Zhang, Zi-Ao Qiu, Chao Shi, Li-De Yu, Na Wang, Heng-Yun Ye, Le-Ping Miao|2025|Cryst.Growth Des.|25|1682|doi:10.1021/acs.cgd.5c00060
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ldk6s
title: CCDC 2395345: Experimental Crystal Structure Determination

description: Related Article: Ze-Jiang Xu, Hua-Kai Li, Mei-Ling Ren, Liang-Han Shen, Xiang Zhang, Zi-Ao Qiu, Chao Shi, Li-De Yu, Na Wang, Heng-Yun Ye, Le-Ping Miao|2025|Cryst.Growth Des.|25|1682|doi:10.1021/acs.cgd.5c00060
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ldk7t
title: CCDC 2395346: Experimental Crystal Structure Determination

description: Related Article: Ze-Jiang Xu, Hua-Kai Li, Mei-Ling Ren, Liang-Han Shen, Xiang Zhang, Zi-Ao Qiu, Chao Shi, Li-De Yu, Na Wang, Heng-Yun Ye, Le-Ping Miao|2025|Cryst.Growth Des.|25|1682|doi:10.1021/acs.cgd.5c00060
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ldk8v
title: CCDC 2395347: Experimental Crystal Structure Determination

description: Related Article: Ze-Jiang Xu, Hua-Kai Li, Mei-Ling Ren, Liang-Han Shen, Xiang Zhang, Zi-Ao Qiu, Chao Shi, Li-De Yu, Na Wang, Heng-Yun Ye, Le-Ping Miao|2025|Cryst.Growth Des.|25|1682|doi:10.1021/acs.cgd.5c00060
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13012/b2idb-6728019_v1
title: Data for Impact of Non-Irrigation on 1G and 2G Bioethanol Potential of Oilcane Feedstock: A Field to Fuel Pipeline Study

description: This study evaluates the bioethanol potential in response to irrigation (IR) and non-irrigation (NIR) of oilcane (OC) during a seasonal drought prior harvest. The juice was extracted through mechanical pressing of stems and fermented by Ethanol Red® yeast to produce first-generation bioethanol. Hydrothermal pretreatment followed by enzymatic hydrolysis of bagasse was performed to produce monomeric sugars from structural carbohydrates. The hydrolysates were fermented with engineered yeast for second-generation bioethanol production. The irrigated oilcane juice (276.3 ± 8.9 g/L) constitutes higher sugar concentrations than non-irrigated oilcane juice (236.5 ± 2.2 g/L). The enzymatic hydrolysis of IR-OC and NIR-OC pretreated bagasse yielded similar concentrations of 247.5 ± 2.22 and 249.7 ± 4.98 g/L fermentable sugars. Industry-relevant bioethanol titers of ≥99 g/L and ≥75 g/L were achieved from juice and hydrolysates, respectively. Therefore, the non-irrigation regime did not impact the 1G and 2G bioethanol titers. However, the overall bioethanol yield can be lower due to the reduction of stem yield (8 %) per hectare.
DOI: 10.6084/m9.figshare.28524456
title: Does the choice of tilapia species in smallholder farms impact household income and dietary diversity in Malawi?

description: Aquaculture has great potential to increase farmers’ income and provide nutritious aquatic foods to consumers. However, little is known about adoption constraints for different species and their effects on farm performance and household welfare among smallholder farmers in developing countries like Malawi. Using cross-sectional data from tilapia farms across Malawi’s three regions, we conducted a regression analysis to investigate which tilapia species farmers produce and the impact of this choice on income. Our findings reveal that household characteristics, institutional factors, and farm characteristics all influence farmers’ choice of tilapia species. Furthermore, we found that producing both <i>Coptodon rendalli</i> and <i>Oreochromis shiranus</i> species positively correlates with household income. Additionally, our results indicate a positive associations between integrated aquaculture and household income and diet diversity. Our findings also suggest that the production of <i>Coptodon rendalli, Oreochromis shiranus</i> and a combination of <i>Coptodon rendalli and Oreochromis shiranus</i> is positively associated with diets.
DOI: 10.6084/m9.figshare.28524456.v1
title: Does the choice of tilapia species in smallholder farms impact household income and dietary diversity in Malawi?

description: Aquaculture has great potential to increase farmers’ income and provide nutritious aquatic foods to consumers. However, little is known about adoption constraints for different species and their effects on farm performance and household welfare among smallholder farmers in developing countries like Malawi. Using cross-sectional data from tilapia farms across Malawi’s three regions, we conducted a regression analysis to investigate which tilapia species farmers produce and the impact of this choice on income. Our findings reveal that household characteristics, institutional factors, and farm characteristics all influence farmers’ choice of tilapia species. Furthermore, we found that producing both <i>Coptodon rendalli</i> and <i>Oreochromis shiranus</i> species positively correlates with household income. Additionally, our results indicate a positive associations between integrated aquaculture and household income and diet diversity. Our findings also suggest that the production of <i>Coptodon rendalli, Oreochromis shiranus</i> and a combination of <i>Coptodon rendalli and Oreochromis shiranus</i> is positively associated with diets.
DOI: 10.15468/dl.e2g2vz
title: Occurrence Download

description: A dataset containing 1116014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is United States of America",
 "TaxonKey is Falco peregrinus",
 "Year 2000-2025"
 ]
}

 The dataset includes 1116014 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002374-251120083545085/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.29580698
title: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>

description: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>
DOI: 10.6084/m9.figshare.29580698.v2
title: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>

description: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>
DOI: 10.6084/m9.figshare.29580698.v1
title: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>

description: <b>Prerequisites for the successful implementation of </b><b>artificial intelligence </b><b>in Human Resource Management - a systematic review</b>
DOI: 10.15139/s3/fdcahs
title: Data Management and Sharing Plan for: Enhancing Malaria Epidemiology Research through Genomics & Translational Systems biology

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.yqxxke
title: Occurrence Download

description: A dataset containing 13171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes"
 ]
}

 The dataset includes 13171 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002389-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg7knh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-117.9805 35.02039, -117.9806 35.01956, -117.9797 35.0195, -117.9796 35.0203, -117.9805 35.02039))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002390-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.15640015
title: Pea protein cross-linking using Transglutaminase

description: R scripts to analyse pea protein cross-linking mass spectrometry data after HMW pre-fractionation. MS raw data needed to run the scripts and can be accessed under PXD064875 & JPST003864.

Unzip file, run 00_Wrapper.R script in R.
DOI: 10.5281/zenodo.15640016
title: Pea protein cross-linking using Transglutaminase

description: R scripts to analyse pea protein cross-linking mass spectrometry data after HMW pre-fractionation. MS raw data needed to run the scripts and can be accessed under PXD064875 & JPST003864.

Unzip file, run 00_Wrapper.R script in R.
DOI: 10.15139/s3/hyazmp
title: Data Management and Sharing Plan for: Identifying mechanisms by which metformin regulates T cell responses in obesity

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.7914/t3a0-sx96
title: Assateague Island Seismic Array

description: Two seismic arrays consisting of 6 Fairfield Nodal ZLand 3C nodal seismometers were deployed on the barrier island of Assateague Island State Park in partnership with the Maryland Department of Natural Resources. The 2024 array was designed to look at noise variation and ocean seismic activity (weather, wave action, atmospheric waves) and deployed along shore, parallel to the park dune.  The second array, deployed in 2025, was designed to look at dissipation of ocean seismic energy perpendicular to the shore. One mobile sensor was deployed in 2024 alongside controlled source seismic experiments.
DOI: 10.15468/dl.ue72gw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acaulon muticum, Acaulon piligerum)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002392-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.15640883
title: Pea Protein Cross-linking - Whole protein lysate

description: Data analysis scripts to anlayse whole protein lysate after Transglutaminase cross-linking. MS raw data can be downloaded from ProteomeXchange and jPOSTrepo under PXD064878 and JPST003865.

Unzip file, then run 00_Wrapper.R in R.
DOI: 10.5281/zenodo.15640882
title: Pea Protein Cross-linking - Whole protein lysate

description: Data analysis scripts to anlayse whole protein lysate after Transglutaminase cross-linking. MS raw data can be downloaded from ProteomeXchange and jPOSTrepo under PXD064878 and JPST003865.

Unzip file, then run 00_Wrapper.R in R.
DOI: 10.15468/dl.taq4ja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-114.8998 35.39983, -114.8992 35.39979, -114.8992 35.40035, -114.9004 35.40036, -114.8998 35.39983))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002393-251120083545085/datasets/export for details.
DOI: 10.7910/dvn/2nci2e
title: Replication Data for: Threats and Commitments: International Tribunals and Domestic Trials in Peace Negotiations

description: This repository contains replication files and supplementary materials for the article "Threats and Commitments: International Tribunals and Domestic Trials in Peace Negotiations."
description: <strong>APSR Data Editors' Note:</strong> APSR Data Editors have reviewed included documentation for completeness and have successfully reproduced all figures and tables in the article using the code and data included in this deposit. Data editors do not review results presented in appendices or supplementary materials.
DOI: 10.15139/s3/uviqv1
title: Data Management and Sharing Plan for: Establishing a role for protein prenylation in ventricular chamber development and function

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.sruhwf
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Santander)",
 "GadmGid is one of (COL.28.9_2)",
 "TaxonKey is one of (Lepidoptera [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 586 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002396-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g8tbc
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Santander)",
 "GadmGid is one of (COL.28.9_2)",
 "TaxonKey is one of (Lepidoptera [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 586 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002394-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x77z3s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-119.7252 35.20006, -119.7218 35.19944, -119.7206 35.2014, -119.7234 35.20447, -119.7273 35.20451, -119.7291 35.20208, -119.7252 35.20006))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002395-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/morp83
title: Data Management and Sharing Plan for: TBCRC064: A phase II non-comparative trial of datopotamab deruxtecan (Dato-DXd) or trastuzumabderuxtecan (T-DXd) in patients with metastatic HER2-low breast cancer after progression on prior antibody drug conjugate therapy

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan