cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22033/esgf/cmip6.13562
title: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 AerChemMIP ssp370SST-lowNTCFCH4

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NOAA-GFDL.GFDL-ESM4.ssp370SST-lowNTCFCH4' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The GFDL-ESM4 climate model, released in 2018, includes the following components:
 aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). 
The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.1392
title: CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 GeoMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.GeoMIP.CNRM-CERFACS.CNRM-ESM2-1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The CNRM-ESM2-1 climate model, released in 2017, includes the following components:
 aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. 
The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.5281/zenodo.18303340
title: Rhabdadenia Müll.Arg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303341
title: Rhabdadenia Müll.Arg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.17632/4fzjbrjvfg
title: Frugal Nanomanufacturing for Sustainable Research Infrastructure: A Reuse-Oriented Framework for Carbon Nanotube Synthesis

description: Physicochemical characterization of multiwalled CNTs synthesized using an in-house built CVD system, along with a techno-economic analysis of the system.
DOI: 10.17632/4fzjbrjvfg.2
title: Frugal Nanomanufacturing for Sustainable Research Infrastructure: A Reuse-Oriented Framework for Carbon Nanotube Synthesis

description: Physicochemical characterization of multiwalled CNTs synthesized using an in-house built CVD system, along with a techno-economic analysis of the system.
DOI: 10.15468/dl.h7zt9j
title: Occurrence Download

description: A dataset containing 4252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza fuchsii)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 4252 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000183-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsgrew
title: Occurrence Download

description: A dataset containing 2731 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-83.004 9.081077000000001, -83.075148 9.075505, -83.144537 9.058925, -83.210455 9.031748, -83.271272 8.994645, -83.32548800000001 8.948532, -83.371768 8.894548, -83.408974 8.834025, -83.43619200000001 8.768456, -83.45275700000001 8.699458, -83.45826599999999 8.628731, -83.45259 8.558017, -83.435874 8.489056, -83.408537 8.423546, -83.37125399999999 8.363097, -83.32494800000001 8.309194, -83.270758 8.263163, -83.21001699999999 8.226133000000001, -83.14422 8.199014, -83.07498099999999 8.182472000000001, -83.004 8.176912, -82.933019 8.182472000000001, -82.86378000000001 8.199014, -82.797983 8.226133000000001, -82.73724199999999 8.263163, -82.683052 8.309194, -82.636746 8.363097, -82.599463 8.423546, -82.572126 8.489056, -82.55540999999999 8.558017, -82.549734 8.628731, -82.555243 8.699458, -82.571808 8.768456, -82.59902599999999 8.834025, -82.63623200000001 8.894548, -82.682512 8.948532, -82.736728 8.994645, -82.797545 9.031748, -82.863463 9.058925, -82.932852 9.075505, -83.004 9.081077000000001))"},{"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 2731 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000182-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dwrnvw7b74
title: Dataset of "Late Cenozoic eastward growth of the Tibetan Plateau: evidence from geomorphic indices and river-profile inversion around the Hanzhong Basin"

description: This dataset archives the results of fluvial channel profile analyses that support the findings discussed in the main text.
Data Set S1. Parameters derived from river profile analyses of Non–steady-state rivers.
Data Set S2. Parameters derived from river profile analyses of Steady-state rivers.
DOI: 10.5281/zenodo.18241992
title: GRCh38 index files for https://github.com/openvar/NextFlow_RD_Genomic_VQR
DOI: 10.5281/zenodo.18241993
title: GRCh38 index files for https://github.com/openvar/NextFlow_RD_Genomic_VQR
DOI: 10.17632/dwrnvw7b74.1
title: Dataset of "Late Cenozoic eastward growth of the Tibetan Plateau: evidence from geomorphic indices and river-profile inversion around the Hanzhong Basin"

description: This dataset archives the results of fluvial channel profile analyses that support the findings discussed in the main text.
Data Set S1. Parameters derived from river profile analyses of Non–steady-state rivers.
Data Set S2. Parameters derived from river profile analyses of Steady-state rivers.
DOI: 10.17632/rf7rhwsh4v.1
title: Machine Learning-Based Prediction of Surface Roughness in FFF PLA and Hybrid CNC Machining

description: This dataset supports the study “Machine Learning-Based Prediction of Surface Roughness in FFF PLA and Hybrid CNC Machining” and provides comprehensive experimental, manufacturing, and machine learning data for predicting surface roughness (Ra) in Polylactic Acid (PLA) components produced using fused filament fabrication (FFF) and hybrid additive–subtractive manufacturing.

The study investigates the influence of surface inclination on Ra, an aspect rarely addressed in prior literature, along with the effects of CNC post-processing. A Taguchi L54 design of experiments was implemented across surface inclinations ranging from 10° to 80°, resulting in 54 printed parts. Ten supervised machine learning (ML) algorithms were evaluated, with the Explainable Boosting Machine (EBM) demonstrating the highest predictive performance (R² = 0.983 for AM and R² = 0.616 for hybrid machining). In the AM stage, inclination angle, layer height, nozzle diameter, and extrusion temperature were identified as the dominant parameters, with optimal Ra achieved at a 0.10 mm layer height, 0.25 mm nozzle diameter, and 210 °C extrusion temperature. In hybrid machining, the combination of AM parameters with machining depth of cut and infill density reduced Ra by 85–91%, with a 0.20 mm depth of cut consistently producing low Ra values. Verification experiments confirmed prediction errors within ±2 µm for AM (MAPE = 6.62%) and ±1 µm for hybrid machining (MAPE = 9.17%). Additionally, a preliminary coolant-assisted machining trial demonstrated a further Ra reduction of 15–21%.

The dataset enables full reproducibility of the experimental workflow, including additive manufacturing, hybrid CNC machining, surface roughness measurements, machine learning model development, and validation. It is intended for researchers and practitioners working in additive manufacturing, hybrid manufacturing, surface integrity, and data-driven process optimization.

The dataset is organized into eleven sub-folders containing AM G-codes for 54 printed parts, CNC G-codes for hybrid and validation machining experiments, surface roughness (Ra) measurement reports for AM, hybrid, and wet machining stages, Taguchi L54 design of experiments files, machine learning datasets, Python scripts for ten supervised ML algorithms, and verification datasets for model validation.
DOI: 10.5281/zenodo.18303344
title: Rhabdadenia madida (Vell.) Miers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303345
title: Rhabdadenia madida (Vell.) Miers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.yfxxue
title: Occurrence Download

description: A dataset containing 47574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 1989"
 ]
}

 The dataset includes 47574 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000181-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm4rnc
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.075 2.244179, 104.004684 2.238611, 103.9361 2.222042, 103.87094 2.194882, 103.810807 2.1578, 103.757185 2.11171, 103.711392 2.057746, 103.674557 1.99724, 103.647585 1.93168, 103.631139 1.862682, 103.625624 1.791945, 103.631173 1.72121, 103.64765 1.65222, 103.674646 1.586672, 103.711497 1.52618, 103.757295 1.472234, 103.810912 1.42616, 103.871029 1.389093, 103.936165 1.361945, 104.004718 1.345385, 104.075 1.339819, 104.145282 1.345385, 104.213835 1.361945, 104.278971 1.389093, 104.339088 1.42616, 104.392705 1.472234, 104.438503 1.52618, 104.475354 1.586672, 104.50235 1.65222, 104.518827 1.72121, 104.524376 1.791945, 104.518861 1.862682, 104.502415 1.93168, 104.475443 1.99724, 104.438608 2.057746, 104.392815 2.11171, 104.339193 2.1578, 104.27906 2.194882, 104.2139 2.222042, 104.145316 2.238611, 104.075 2.244179))"},{"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 670 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000184-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303352
title: Rhabdocaulon (Benth.) Epling. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303353
title: Rhabdocaulon (Benth.) Epling. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.17632/8p7t9wvx8w
title: MWCNTs-saline soil
DOI: 10.17632/8p7t9wvx8w.1
title: MWCNTs-saline soil
DOI: 10.17632/j79jp9thk2
title: Trade Fragmentation, Inflationary Pressures and Monetary Policy

description: This folder contains the replication files for the paper "Trade Fragmentation, Inflationary Pressures and Monetary Policy" by Ludovica Ambrosino, Jenny Chan and Silvana Tenreyro.
DOI: 10.17632/j79jp9thk2.2
title: Trade Fragmentation, Inflationary Pressures and Monetary Policy

description: This folder contains the replication files for the paper "Trade Fragmentation, Inflationary Pressures and Monetary Policy" by Ludovica Ambrosino, Jenny Chan and Silvana Tenreyro.
DOI: 10.15468/dl.fxjv9c
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((8.99971 50.27187,7.76653 50.28005,7.77676 49.50906,8.98335 49.46202,8.99971 50.27187))",
 "TaxonKey is Andricus kollari"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000185-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/679k5zxgvt.4
title: From drill to chill: The effect of military service on subjective well-being in rural China

description: README: Replication Package
Paper Title
From drill to chill: The effect of military service on subjective well-being in rural China
Authors:
Chunkai Zhao (South China Agricultural University)
Boou Chen (Nanjing University of Finance and Economics)
Huilin Xie (Sun Yat-sen University)
Date: Jan 17, 2026

This folder contains the programs and materials required to reproduce the results of the paper "From drill to chill: The effect of military service on subjective well-being in rural China."
DOI: 10.15468/dl.32pqgr
title: Occurrence Download

description: A dataset containing 3507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza majalis, Dactylorhiza majalis, Dactylorhiza majalis, Dactylorchis latifolia, Dactylorhiza fistulosa, Dactylorchis majalis, Orchis majalis)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3507 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000186-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9czcs2
title: Occurrence Download

description: A dataset containing 3615 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-84.086 9.859057999999999, -84.157308 9.853484999999999, -84.22685300000001 9.836904000000001, -84.292917 9.809725, -84.35386800000001 9.77262, -84.408202 9.726506000000001, -84.45458000000001 9.67252, -84.491862 9.611996, -84.519133 9.546428000000001, -84.535726 9.477430999999999, -84.541239 9.406706, -84.535543 9.335996, -84.51878499999999 9.26704, -84.491384 9.201535, -84.454018 9.141092, -84.407611 9.087194999999999, -84.353306 9.041169, -84.292439 9.004144, -84.226506 8.977029, -84.15712499999999 8.96049, -84.086 8.954931, -84.014875 8.96049, -83.945494 8.977029, -83.879561 9.004144, -83.81869399999999 9.041169, -83.76438899999999 9.087194999999999, -83.71798200000001 9.141092, -83.680616 9.201535, -83.653215 9.26704, -83.63645699999999 9.335996, -83.63076100000001 9.406706, -83.636274 9.477430999999999, -83.652867 9.546428000000001, -83.680138 9.611996, -83.71742 9.67252, -83.76379799999999 9.726506000000001, -83.81813200000001 9.77262, -83.87908299999999 9.809725, -83.94514700000001 9.836904000000001, -84.014692 9.853484999999999, -84.086 9.859057999999999))"},{"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 3615 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000187-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303361
title: Rhabdocaulon strictum (Benth.) Epling. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303362
title: Rhabdocaulon strictum (Benth.) Epling. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.xv798h
title: Occurrence Download

description: A dataset containing 211997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melanoides tuberculata, Micropterus dolomieu, Misgurnus anguillicaudatus, Oreochromis mossambicus, Oreochromis niloticus, Pimephales promelas, Procambarus virginalis)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 211997 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000150-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5j3kww
title: Occurrence Download

description: A dataset containing 1368790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanistes caeruleus",
 "Country is France",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1368790 records from 4766 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000058-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/lnt-6qe-4ja
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k8p-whl-90m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.