cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17097484
title: Rotary frame data set of drill pipe for coal mine

description: This annotation data set contains the YOLO data set of coal mine drilling drill pipe. The dataset is divided into training set, validation set and test set according to the ratio of 7 : 2 : 1. The image data were collected from a coal mine in Shaanxi Province, China from October to November 2023. The dataset is labeled by a rotation box.
DOI: 10.15468/dl.cbsu4e
title: Occurrence Download

description: A dataset containing 48464 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Epibenthos and demersal fish monitoring at long-term monitoring stations in the Belgian part of the North Sea"
 ]
}

 The dataset includes 48464 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052790-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkyabd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052791-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.873bu3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is Liechtenstein",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052792-250827131500795/datasets/export for details.
DOI: 10.15468/dl.hy4btz
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium barbarum",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 398 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052795-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3kudr
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (Japan, Korea, Republic of, Korea (Democratic People’s Republic of))"
 ]
}

 The dataset includes 274 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052796-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwgw2m
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (China)",
 "DecimalLongitude is greater than 126",
 "DecimalLatitude is less than 49.5"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052797-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949341
title: European maps of potential species richness of wetland species created with the BioScore model - Deliverable 4.2 of WET HORIZONS project

description: This repository contains European maps of potential species richness of wetland species under current environmental conditions for vascular plants (VascMap.tif), mosses (MossMap.tif), lichens (LicMap.tif) and birds (BirdMap.tif), as created with the BioScore model. 

Methodology used to generate the maps

As part of WET HORIZONS, PBL Netherlands Environmental Assessment Agency has extended the BioScore modelling framework, which is a species-level biodiversity model of vascular plants in Europe. We have improved its ability to evaluate and predict the impacts of various environmental pressures on wetland biodiversity. BioScore consists of species distribution models (SDM) that estimates species distributions based on quantitative relationships between species observations and environmental conditions. This model employs species occurrence data and environmental variables to create an overall output that generates species-specific maps based on probability of occurrence. In WET HORIZONS, we have improved BioScore by adding species characteristic of wetlands, including 210 vascular plants, 55 mosses, 14 lichens, and 35birds guided by current data availability. We have incorporated environmental variables relevant for wetland conditions, including groundwater table depth, moisture accumulation, inundation probability, and the proportion of anthropogenic (human-dominated) land cover upstream of wetland sites. A full description of the methodology used to generate the maps is described in Deliverable 4.2 of the WET HORIZONS project, entitled "Improved BioScore model and corresponding European wide spatially explicit model output for the current  situation (baseline)". 

We established potential species richness maps by stacking per taxonomic group the species-specific probability of occurrence maps as generated by the improved BioScore model, and then dividing the summed probability of occurrence by total number of species per taxonomic group.

Interpretation of the maps

The potential species richness maps highlight where environmental conditions might support wetland species, offering a broad view of potential biodiversity across the continent. We acknowledge that SDMs in general and the BioScore modelling framework in particular are simplifications and that predictions are associated with uncertainties. For example, the models do not account for all environmental variables that determine species distributions or all ecological interactions. Though not reflective of actual local species richness, these maps can guide the prioritization of areas for conservation and restoration. 

This publication is supported by the WET HORIZONS project.
DOI: 10.15468/dl.ha84t4
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-1.66628 47.42364,-1.66515 47.41328,-1.66184 47.4085,-1.65201 47.40676,-1.64391 47.41102,-1.64391 47.42007,-1.65001 47.42913,-1.66628 47.42364))",
 "Geometry POLYGON((-1.6663 47.42371,-1.66504 47.41332,-1.66253 47.40886,-1.65236 47.4068,-1.64379 47.41103,-1.64413 47.42029,-1.65019 47.42931,-1.6663 47.42371))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 252 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052798-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16949340
title: European maps of potential species richness of wetland species created with the BioScore model - Deliverable 4.2 of WET HORIZONS project

description: This repository contains European maps of potential species richness of wetland species under current environmental conditions for vascular plants (VascMap.tif), mosses (MossMap.tif), lichens (LicMap.tif) and birds (BirdMap.tif), as created with the BioScore model. 

Methodology used to generate the maps

As part of WET HORIZONS, PBL Netherlands Environmental Assessment Agency has extended the BioScore modelling framework, which is a species-level biodiversity model of vascular plants in Europe. We have improved its ability to evaluate and predict the impacts of various environmental pressures on wetland biodiversity. BioScore consists of species distribution models (SDM) that estimates species distributions based on quantitative relationships between species observations and environmental conditions. This model employs species occurrence data and environmental variables to create an overall output that generates species-specific maps based on probability of occurrence. In WET HORIZONS, we have improved BioScore by adding species characteristic of wetlands, including 210 vascular plants, 55 mosses, 14 lichens, and 35birds guided by current data availability. We have incorporated environmental variables relevant for wetland conditions, including groundwater table depth, moisture accumulation, inundation probability, and the proportion of anthropogenic (human-dominated) land cover upstream of wetland sites. A full description of the methodology used to generate the maps is described in Deliverable 4.2 of the WET HORIZONS project, entitled "Improved BioScore model and corresponding European wide spatially explicit model output for the current  situation (baseline)". 

We established potential species richness maps by stacking per taxonomic group the species-specific probability of occurrence maps as generated by the improved BioScore model, and then dividing the summed probability of occurrence by total number of species per taxonomic group.

Interpretation of the maps

The potential species richness maps highlight where environmental conditions might support wetland species, offering a broad view of potential biodiversity across the continent. We acknowledge that SDMs in general and the BioScore modelling framework in particular are simplifications and that predictions are associated with uncertainties. For example, the models do not account for all environmental variables that determine species distributions or all ecological interactions. Though not reflective of actual local species richness, these maps can guide the prioritization of areas for conservation and restoration. 

This publication is supported by the WET HORIZONS project.
DOI: 10.15468/dl.x6mepa
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrocopos major",
 "BasisOfRecord is Specimen",
 "Country is one of (Russian Federation)",
 "DecimalLongitude is greater than 136",
 "DecimalLatitude is less than 54"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052799-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17097570
title: API 5L LSAW Pipe: A Deep Dive into PSL1 vs. PSL2

description: In the challenging complex world of oil and gas, the health of your pipeline infrastructure is key. API 5L (American Petroleum Institute) is the most widely accepted spec by any industry that could provide it in steel pipe for the transportation of natural gas and petroleum products. Of the many welding processes being used for the production of pipes, LSAW STEEL PIPE is the one that is widely used as it produces quality and low cost pipes perfect for high pressure and long pipelines in transporting hydrocarbons from the production areas to the area of consumption.
DOI: 10.5281/zenodo.17097571
title: API 5L LSAW Pipe: A Deep Dive into PSL1 vs. PSL2

description: In the challenging complex world of oil and gas, the health of your pipeline infrastructure is key. API 5L (American Petroleum Institute) is the most widely accepted spec by any industry that could provide it in steel pipe for the transportation of natural gas and petroleum products. Of the many welding processes being used for the production of pipes, LSAW STEEL PIPE is the one that is widely used as it produces quality and low cost pipes perfect for high pressure and long pipelines in transporting hydrocarbons from the production areas to the area of consumption.
DOI: 10.15468/dl.jsa3jy
title: Occurrence Download

description: A dataset containing 54095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((206.0107 -0.92202,249.94176 -0.92202,249.94176 21.11659,206.0107 21.11659,206.0107 -0.92202))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 54095 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052615-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98ed9a
title: Occurrence Download

description: A dataset containing 17959431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamiaceae"
 ]
}

 The dataset includes 17959431 records from 8141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052701-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kmah5
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Ischyropsalis kollari Koch, 1839"
 ]
}

 The dataset includes 84 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029679-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602590
title: Advancing Hurricane Forecasting with AI Models for Track and Intensity Prediction
DOI: 10.5281/zenodo.15602591
title: Advancing Hurricane Forecasting with AI Models for Track and Intensity Prediction
DOI: 10.5519/qd.0l0b1bo9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2764 records)
DOI: 10.5519/qd.ykd10i7q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (198 records)
DOI: 10.5281/zenodo.15620434
title: Data analysis QAP
DOI: 10.5281/zenodo.15620435
title: Data analysis QAP
DOI: 10.34740/kaggle/dsv/12101318
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5519/qd.egs7sl4x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (58361 records)
DOI: 10.15468/dl.ffr59w
title: Occurrence Download

description: A dataset containing 19758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cipangopaludina chinensis (J.E.Gray, 1833), Salvinia ×molesta D.S.Mitch., Xenopus laevis (Daudin, 1802), Apalone ferox (Schneider, 1783))",
 "BasisOfRecord is one of (Human Observation)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19758 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029680-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620323
title: The Muddy Mix Dataset - ad

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620324
title: The Muddy Mix Dataset - ad

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620329
title: The Muddy Mix Dataset - ae

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620330
title: The Muddy Mix Dataset - ae

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620410
title: The Muddy Mix Dataset - ag

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620411
title: The Muddy Mix Dataset - ag

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620483
title: DOMiNO (anonymised) - Domain-Balanced Entity Linking Dataset both with and without nif:topics

description: DOMiNO (anonymised) - Domain-Balanced Entity Linking Dataset both with and without nif:topics
DOI: 10.5281/zenodo.15620484
title: DOMiNO (anonymised) - Domain-Balanced Entity Linking Dataset both with and without nif:topics

description: DOMiNO (anonymised) - Domain-Balanced Entity Linking Dataset both with and without nif:topics
DOI: 10.15468/dl.3vux2g
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dioscorea mexicana Scheidw.",
 "Year 2010-2025"
 ]
}

 The dataset includes 44 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029681-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620502
title: DOMeX (limited) - Domain splits for all datasets with compatibly permissive licenses.

description: DOMeX (limited) - Domain splits for all datasets with compatibly permissive licenses.
DOI: 10.5281/zenodo.15620503
title: DOMeX (limited) - Domain splits for all datasets with compatibly permissive licenses.

description: DOMeX (limited) - Domain splits for all datasets with compatibly permissive licenses.
DOI: 10.15468/dl.xmqux3
title: Occurrence Download

description: A dataset containing 19758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cipangopaludina chinensis (J.E.Gray, 1833), Salvinia ×molesta D.S.Mitch., Xenopus laevis (Daudin, 1802), Apalone ferox (Schneider, 1783))",
 "BasisOfRecord is one of (Human Observation)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19758 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029682-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3aabf
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Afghanistan, Albania, Algeria, Bangladesh, Bulgaria, Spain, Cabo Verde, Chad, China, France, Cyprus, Indonesia, Malaysia, Brunei Darussalam, Greece, Myanmar, Nepal, Egypt, Hungary, India, Mongolia, Iran (Islamic Republic of), Iraq, Italy, Kazakhstan, Kyrgyzstan, Lebanon, Syrian Arab Republic, Libya, Maldives, Morocco, Pakistan, Philippines, Palestine, State of, Portugal, Romania, Saudi Arabia, Russian Federation, South Sudan, Turkmenistan, Türkiye, Ukraine, Uzbekistan, Viet Nam)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Digitaria sanguinalis subsp. sanguinalis",
 "Year 1900-2025"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620408
title: The Muddy Mix Dataset - af

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620409
title: The Muddy Mix Dataset - af

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.15468/dl.p2ebfr
title: Occurrence Download

description: A dataset containing 1475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Manihot caerulescens Pohl"
 ]
}

 The dataset includes 1475 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029687-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620414
title: The Muddy Mix Dataset - ai

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620415
title: The Muddy Mix Dataset - ai

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620412
title: The Muddy Mix Dataset - ah

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620413
title: The Muddy Mix Dataset - ah

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620492
title: The Muddy Mix Dataset - al

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620493
title: The Muddy Mix Dataset - al

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.15468/dl.ex74bs
title: Occurrence Download

description: A dataset containing 299733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castor fiber Linnaeus, 1758"
 ]
}

 The dataset includes 299733 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029684-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620517
title: Novel entity linking benchmarking datasets retaining prior topic and semantic domains.

description: Novel entity linking benchmarking datasets retaining prior topic and semantic domains.
DOI: 10.5281/zenodo.15620518
title: Novel entity linking benchmarking datasets retaining prior topic and semantic domains.

description: Novel entity linking benchmarking datasets retaining prior topic and semantic domains.