cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w8weuy
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015994-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkvq8k
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leishmania Ron.Ross, 1903",
 "Year 2000-2025"
 ]
}

 The dataset includes 939 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015997-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agsu5w
title: Occurrence Download

description: A dataset containing 16264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis Gmelin, 1788",
 "Country is United States of America",
 "StateProvince is New York"
 ]
}

 The dataset includes 16264 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015998-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ant4cn
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.42616 46.78012,-118.82758 46.78012,-118.82758 47.55014,-120.42616 47.55014,-120.42616 46.78012))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agropyron Gaertn."
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015999-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzbb4u
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passerina rositae (Lawrence, 1874)",
 "Year 2015-2025"
 ]
}

 The dataset includes 195 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007227-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11999467
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pvnfcw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005989-260120142942310/datasets/export for details.
DOI: 10.15468/dl.etya72
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordimus hooijeri"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005990-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvk5p7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005991-260120142942310/datasets/export for details.
DOI: 10.25909/31129939
title: Supporting Dataset for Simulations of High Temperature Decomposition of Metal-Organic Frameworks to form Amorphous Catalysts

description: This dataset contains computational data supporting the research article <i>"Simulations of High Temperature Decomposition of Metal-Organic Frameworks to form Amorphous Catalysts."</i> The repository includes training data, validation scripts, quench trajectories, and analysis scripts used in the study.<b>File Format & Access</b> The complete dataset is provided as a compressed <code><strong>.tar.xz</strong></code><b> </b><b>archive</b>. Users must extract this archive to access the directory structure and files described below.<b>Content Overview</b> Once extracted, the repository is organized into three primary directories covering foundational model validation, fine-tuning, and trajectory analysis:<code><strong>1-foundational_models/</strong></code>: Contains scripts for validating baseline foundational Machine Learning Interatomic Potentials (MLIPs), including MAE calculation utilities (e.g., <code>validate.py</code>, <code>array_MAE.py</code>).<code><strong>2-finetuning/</strong></code>: Includes the complete fine-tuning pipeline for MACE models. This directory houses:Training and validation datasets (<code>.xyz</code> format).Scripts for generating training sets and sampling structures (<code>gen_training_sets.py</code>, <code>training_sampling.py</code>).Fine-tuned and scratch MACE models.<code><strong>3-trajectories/</strong></code>: Contains data related to trajectory generation and analysis, including:<b>Frameworks</b>: Input structure files (CIF, XYZ) for frameworks (e.g., UiO-66, MIP-206) and guest molecules.<b>Training & Finetuned Trajectories</b>: Initial 1 ns quench simulations and trajectories generated using fine-tuned MLPs.<b>Scripts</b>: A comprehensive suite of Python scripts for running quench simulations, metadynamics, and post-processing analysis.For a detailed breakdown of the file tree and specific script descriptions, please refer to the <code>README.md </code>included within the root of the extracted archive.
DOI: 10.25909/31129939.v1
title: Supporting Dataset for Simulations of High Temperature Decomposition of Metal-Organic Frameworks to form Amorphous Catalysts

description: This dataset contains computational data supporting the research article <i>"Simulations of High Temperature Decomposition of Metal-Organic Frameworks to form Amorphous Catalysts."</i> The repository includes training data, validation scripts, quench trajectories, and analysis scripts used in the study.<b>File Format & Access</b> The complete dataset is provided as a compressed <code><strong>.tar.xz</strong></code><b> </b><b>archive</b>. Users must extract this archive to access the directory structure and files described below.<b>Content Overview</b> Once extracted, the repository is organized into three primary directories covering foundational model validation, fine-tuning, and trajectory analysis:<code><strong>1-foundational_models/</strong></code>: Contains scripts for validating baseline foundational Machine Learning Interatomic Potentials (MLIPs), including MAE calculation utilities (e.g., <code>validate.py</code>, <code>array_MAE.py</code>).<code><strong>2-finetuning/</strong></code>: Includes the complete fine-tuning pipeline for MACE models. This directory houses:Training and validation datasets (<code>.xyz</code> format).Scripts for generating training sets and sampling structures (<code>gen_training_sets.py</code>, <code>training_sampling.py</code>).Fine-tuned and scratch MACE models.<code><strong>3-trajectories/</strong></code>: Contains data related to trajectory generation and analysis, including:<b>Frameworks</b>: Input structure files (CIF, XYZ) for frameworks (e.g., UiO-66, MIP-206) and guest molecules.<b>Training & Finetuned Trajectories</b>: Initial 1 ns quench simulations and trajectories generated using fine-tuned MLPs.<b>Scripts</b>: A comprehensive suite of Python scripts for running quench simulations, metadynamics, and post-processing analysis.For a detailed breakdown of the file tree and specific script descriptions, please refer to the <code>README.md </code>included within the root of the extracted archive.
DOI: 10.5281/zenodo.18344897
title: Information-Guided Agents as Thermodynamic Regulators: Code and Data

description: Code, simulation data, and figures for the study:

"Information-Guided Agents as Thermodynamic Regulators"

The dataset includes an agent-based artificial life model comparing random and information-guided agents using paired-seed experiments, and evaluating entropy production, resource uptake, and energetic efficiency.

This archive accompanies a manuscript submitted to the journal Artificial Life.
DOI: 10.5281/zenodo.18344898
title: Information-Guided Agents as Thermodynamic Regulators: Code and Data

description: Code, simulation data, and figures for the study:

"Information-Guided Agents as Thermodynamic Regulators"

The dataset includes an agent-based artificial life model comparing random and information-guided agents using paired-seed experiments, and evaluating entropy production, resource uptake, and energetic efficiency.

This archive accompanies a manuscript submitted to the journal Artificial Life.
DOI: 10.15468/dl.cwueeq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005992-260120142942310/datasets/export for details.
DOI: 10.15468/dl.cucvuq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megalomys camerhogne"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005993-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz3ej9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005994-260120142942310/datasets/export for details.
DOI: 10.15468/dl.tpku2q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosera rotundifolia"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005996-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpvhys
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryopteris mindshelkensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005997-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va489u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005998-260120142942310/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14588496
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.31123498
title: Dataset for multimodal named entity recognition task

description: The repository is validated on two standard MNER benchmark datasets: Twitter2015 and Twitter2017, which are widely used in multimodal information extraction research. Both datasets are derived from Twitter posts, combining short text and associated images to address entity recognition under real-world social media scenarios.
DOI: 10.6084/m9.figshare.31123498.v1
title: Dataset for multimodal named entity recognition task

description: The repository is validated on two standard MNER benchmark datasets: Twitter2015 and Twitter2017, which are widely used in multimodal information extraction research. Both datasets are derived from Twitter posts, combining short text and associated images to address entity recognition under real-world social media scenarios.
DOI: 10.5281/zenodo.18344975
title: R Markdown and source data

description: Manuscript: 

Increased synaptic turnover in injured cortical axons: exploring the role of SARM1 ablation

Authors:  Ensieh Izadi, William Bennett, Jessica Collins, Anna King, Alison Canty*

Nov 2025

source data (excel spreadsheets with bouton numbers, types, gains and losses etc) and R Markdown code for processing this data.  Statistical modelling for pre and post-axotomy data
DOI: 10.5281/zenodo.18344976
title: R Markdown and source data

description: Manuscript: 

Increased synaptic turnover in injured cortical axons: exploring the role of SARM1 ablation

Authors:  Ensieh Izadi, William Bennett, Jessica Collins, Anna King, Alison Canty*

Nov 2025

source data (excel spreadsheets with bouton numbers, types, gains and losses etc) and R Markdown code for processing this data.  Statistical modelling for pre and post-axotomy data
DOI: 10.15468/dl.ruks82
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.69985 24.906783, 89.62243100000001 24.901206, 89.54694000000001 24.884614, 89.475251 24.857419, 89.40914600000001 24.820297, 89.350262 24.774171, 89.30005 24.720186, 89.259744 24.65968, 89.230327 24.594152, 89.212509 24.52522, 89.206709 24.454586, 89.213052 24.383991, 89.23136 24.315171, 89.261166 24.249817, 89.301721 24.189532, 89.352019 24.135791, 89.41081800000001 24.08991, 89.47667300000001 24.053009, 89.547972 24.025988, 89.622974 24.009508, 89.69985 24.00397, 89.776726 24.009508, 89.85172799999999 24.025988, 89.923027 24.053009, 89.988882 24.08991, 90.047681 24.135791, 90.097979 24.189532, 90.13853400000001 24.249817, 90.16834 24.315171, 90.18664800000001 24.383991, 90.19299100000001 24.454586, 90.187191 24.52522, 90.16937299999999 24.594152, 90.139956 24.65968, 90.09965 24.720186, 90.04943799999999 24.774171, 89.990554 24.820297, 89.924449 24.857419, 89.85276 24.884614, 89.777269 24.901206, 89.69985 24.906783))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006000-260120142942310/datasets/export for details.
DOI: 10.15468/dl.7be8hx
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plekocheilus pulicarius"
 ]
}

 The dataset includes 55 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006001-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2vehp
title: Occurrence Download

description: A dataset listing the 982 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Central African Republic, Cameroon, Congo, Democratic Republic of the, Congo, Equatorial Guinea, Gabon)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae",
 "Year 1960-2026"
 ]
}

 The dataset's 982 records were derived from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005979-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.