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

description: A dataset containing 5763168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1974-2024"
 ]
}

 The dataset includes 5763168 records from 2566 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012950-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17617/3.hewomr
title: AlphaFold structural models of the study "Molecular insights into the dual activation of PomZ, a ParA/MinD P-loop ATPase, by the two ATPase activating proteins PomX and PomY"

description: AlphaFold structural models of the study "Molecular insights into the dual activation of PomZ, a ParA/MinD P-loop ATPase, by the two ATPase activating proteins PomX and PomY"
description: AlphaFold, 3
DOI: 10.15468/dl.9aun2b
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Johnalcornia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020119-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6g559k
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium nervosum"
 ]
}

 The dataset includes 94 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020120-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17660682
title: RMPT Corpus: Synthetic Rheumatology Clinical Reports in Spanish and Catalan

description: This repository contains the RMPT (RheuMatology Parc Taulí) corpus. It is a collection of synthetic hospital reports manually written by rheumatologists from the Parc Taulí Hospital (Catalonia, Spain) in collaboration with the NLP4BIA research group from the Barcelona Supercomputing Center.

Data Description

The corpus includes reports belonging to 12 different fictional patients. Each patient's report has been divided by visit and section type, summing up to 585 text documents. The documents for each section type are ordered chronologically, with the date of each visit being included at the beginning of the document. The four possible section types are: ANL (analytics, analítica in Spanish), CC (progress note, curso clínico in Spanish), EXC (other procedures, exploración complementaria in Spanish), and RES (summary of the clinical report, resumen in Spanish). Patients 1 to 3 have a main diagnosis of scleroderma, 4 to 10 of systemic lupus erythematosus and 11 to 12 of large-vessel vasculitis.

Coming from a Catalonian hospital, the reports include text in both Spanish and Catalan. Many documents mix both languages, but most of the content is in Catalan. In term of writing style, since the documents are meant to replicate actual clinical records, they contain multiple typos, abbreviations, telegraphic language and other features typical to clinical writing. 

The filenames follow this structure: RMPT_{patient-number}_{section-type}_{doc-number}.txt. For instance, "RMPT_006_CC_14.txt".

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Contact

If you have any questions or suggestions, please contact us at:

- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)- Jan Rodríguez-Miret (<janrodmir [at] gmail [dot] com>)- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)

Acknowledgements

This work is part of the project I+D+i TED2021-129974B-C22, financed by MICIU/AEI/10.13039/501100011033 and the European Union's NextGenerationEU/PRTR.
DOI: 10.5281/zenodo.17660683
title: RMPT Corpus: Synthetic Rheumatology Clinical Reports in Spanish and Catalan

description: This repository contains the RMPT (RheuMatology Parc Taulí) corpus. It is a collection of synthetic hospital reports manually written by rheumatologists from the Parc Taulí Hospital (Catalonia, Spain) in collaboration with the NLP4BIA research group from the Barcelona Supercomputing Center.

Data Description

The corpus includes reports belonging to 12 different fictional patients. Each patient's report has been divided by visit and section type, summing up to 585 text documents. The documents for each section type are ordered chronologically, with the date of each visit being included at the beginning of the document. The four possible section types are: ANL (analytics, analítica in Spanish), CC (progress note, curso clínico in Spanish), EXC (other procedures, exploración complementaria in Spanish), and RES (summary of the clinical report, resumen in Spanish). Patients 1 to 3 have a main diagnosis of scleroderma, 4 to 10 of systemic lupus erythematosus and 11 to 12 of large-vessel vasculitis.

Coming from a Catalonian hospital, the reports include text in both Spanish and Catalan. Many documents mix both languages, but most of the content is in Catalan. In term of writing style, since the documents are meant to replicate actual clinical records, they contain multiple typos, abbreviations, telegraphic language and other features typical to clinical writing. 

The filenames follow this structure: RMPT_{patient-number}_{section-type}_{doc-number}.txt. For instance, "RMPT_006_CC_14.txt".

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Contact

If you have any questions or suggestions, please contact us at:

- Salvador Lima-López (<salvador [dot] limalopez [at] gmail [dot] com>)- Jan Rodríguez-Miret (<janrodmir [at] gmail [dot] com>)- Martin Krallinger (<krallinger [dot] martin [at] gmail [dot] com>)

Acknowledgements

This work is part of the project I+D+i TED2021-129974B-C22, financed by MICIU/AEI/10.13039/501100011033 and the European Union's NextGenerationEU/PRTR.
DOI: 10.15468/dl.u4guyg
title: Occurrence Download

description: A dataset containing 144776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria viridis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 144776 records from 1307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020075-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8scjpn
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microidium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020123-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6ejyr
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (Viet Nam, Myanmar, Lao People’s Democratic Republic, Cambodia, Thailand, Malaysia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crocodylus siamensis"
 ]
}

 The dataset includes 195 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020125-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xakh6e
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Switzerland, France)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Popillia japonica"
 ]
}

 The dataset includes 123 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020127-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17756037
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level sfc -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756036
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level sfc -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.ct7jjh
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sciuridae"
 ]
}

 The dataset includes 291 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020129-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17756028
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756029
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.2cgyj7
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sciuridae"
 ]
}

 The dataset includes 291 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020130-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17756023
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756024
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756013
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756014
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario ssp126 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.15468/dl.qd5h5e
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiomeliola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020131-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17756004
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17756003
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model MPI-ESM1-2-HR, scenario Historical -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17776019
title: Original data on Italian public Universities 2012-2020
DOI: 10.5281/zenodo.17776018
title: Original data on Italian public Universities 2012-2020
DOI: 10.5281/zenodo.17755991
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755990
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model CanESM5, scenario ssp585 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5517/ccdc.csd.cc2kydmk
title: CCDC 2381749: Experimental Crystal Structure Determination

description: Related Article: Jian Li, Shuai-Bing Ma, De-Sheng Wei, Wan-Yi Lan, Ting-Ting Xu, Yu-Teng Zhang, Nan Lv, Shuang-Bao Li|2025|J.Solid State Chem.|341|125098|doi:10.1016/j.jssc.2024.125098
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: 10.15468/dl.yth8rt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((1.7355815459530965 49.07450631489965, 1.7337943026764688 49.0832391876214, 1.729446625367772 49.091575111939896, 1.7227044858353282 49.09919345726822, 1.7138262863882987 49.105801050067555, 1.7031530359082159 49.11114350197011, 1.6910952722778865 49.115015056226845, 1.6781172294150735 49.11726656333926, 1.6647188658437302 49.117811268908135, 1.651416465448285 49.116628182692416, 1.6387225843984108 49.1137628940302, 1.627126147442253 49.10932580094135, 1.6170734900816972 49.10348782386373, 1.6089511009690887 49.09647377543297, 1.603070743735132 49.08855365055652, 1.59965753379025 49.080032182266734, 1.5988414193212397 49.07123707514212, 1.6006523735544649 49.06250637697616, 1.6050194545668408 49.054175479266206, 1.6117737365142282 49.04656424734481, 1.6206549685103109 49.03996477180016, 1.6313216799868426 49.034630205221816, 1.643364328557408 49.030765103889145, 1.656320981432902 49.02851763490021, 1.6696949365255909 49.02797393788547, 1.6829736259292665 49.029154849542415, 1.695648103265437 49.032015111590475, 1.7072323978276482 49.03644509126745, 1.7172820226788672 49.042274951089006, 1.7254109508301974 49.04928111419849, 1.7313064231339421 49.057194786156465, 1.7347410230451465 49.06571221632773, 1.7355815459530965 49.07450631489965))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "EventDate is greater than or equal to 2015-01-01",
 "Modified is greater than or equal to 2025-11-21"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020132-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17755979
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755980
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model CanESM5, scenario ssp370 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755967
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model EC-EARTH3 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755968
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model EC-EARTH3 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17755962
title: DISTENDER Climate Simulations: Statistical Downscaling for Guimaraes_D3, Vertical level 50m, Global model CanESM5, scenario ssp245 -  Guimaraes (Portugal)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.