cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/9zkwam
title: Innovatieve moleculaire detectie van de SOA Chlamydia: screening van afvalwater als ‘mirror for society’

description: Het doel van dit onderzoek is om een moleculaire test te ontwikkelen voor de innovatieve screening van Chlamydia trachomatis in afvalwater. 

Voor dit doel worden verschillende PCR-platformen ingezet, waaronder qPCR, ddPCR en NextGenPCR. Het gebruik van deze technologieën maakt het mogelijk om specifiek (het juiste micro-organisme), sensitief (detectie bij lage aantallen) en snel (patiëntvriendelijk) te detecteren. Als basis wordt een bestaande, bewezen qPCR test voor de analyse van CT DNA uit uitstrijkjes en urine gebruikt. Deze PCR test wordt aangepast voor ddPCR- en NextGenPCR toepassingen in afvalwater, met behoud van sensitiviteit en specificiteit.
description: Alle databestanden zijn in het gesloten data archief van Fontys gearchiveerd.
DOI: 10.15468/dl.8tgcbn
title: Occurrence Download

description: A dataset containing 5718407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 5718407 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006802-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17172/nomad/2026.02.02-1
title: NOMAD dataset: C2C - Formates Pd alloys
DOI: 10.15468/dl.wh4rf3
title: Occurrence Download

description: A dataset containing 1517141 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Congo, Democratic Republic of the"
 ]
}

 The dataset includes 1517141 records from 1238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006799-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18365763
title: Intensifying climate extremes drive accelerated High Mountain Asia glacier loss

description: These datasets contain all result files, including observation and modeling, for the paper 'Intensifying climate extremes drive accelerated High Mountain Asia glacier loss'. You can link to our Github repository for the code, which are used to generate these results.
DOI: 10.5281/zenodo.18365762
title: Intensifying climate extremes drive accelerated High Mountain Asia glacier loss

description: These datasets contain all result files, including observation and modeling, for the paper 'Intensifying climate extremes drive accelerated High Mountain Asia glacier loss'. You can link to our Github repository for the code, which are used to generate these results.
DOI: 10.17026/dans-ztg-q3s4
title: DANS Nationale Enquête Arbeidsomstandigheden meerjaren bestand 2005 -2018
title: DANS_NEA_2005-2018

description: &lt;p&gt;Het doel van de Nationale Enquête arbeidsomstandigheden (NEA) is het in kaart brengen van informatie op het gebeid van arbeidsomstandigheden, arbeidsinhoud, arbeidsverhoudingen en arbeidsvoorwaarden van werknemers. De NEA wordt uitgevoerd door TNO en het CBS, in samenwerking met het ministerie van Sociale Zaken en Werkgelegenheid.&lt;/p&gt;
DOI: 10.15468/dl.aubfg5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens parviflora",
 "Year 1995-1999"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006814-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18456045
title: USCS Soil Classification Dataset of tailings

description: This dataset compiles the geotechnical properties of ore‑related soil samples, including grain‑size distribution, particle‑size percentiles, plasticity indices, and specific gravity. The material is characterized through standard size‑fraction analysis (gravel, sand, silt, clay, and fines content), complemented by key percentile metrics (d10–d90) used to derive uniformity and curvature coefficients. Atterberg limits (LL, PL, PI) provide additional insight into the plastic behavior of the fine fraction. Each sample is classified according to the Unified Soil Classification System (USCS). Together, these parameters enable a comprehensive evaluation of the gradation, plasticity, and physical characteristics of the soils associated with ore extraction, supporting geotechnical interpretation and comparison among sample types.

 



Funding This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Dirección General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González), and by grant PID2022-138197OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/E” (R.L. Rodriguez-Pacheco).
DOI: 10.5281/zenodo.18456046
title: USCS Soil Classification Dataset of tailings

description: This dataset compiles the geotechnical properties of ore‑related soil samples, including grain‑size distribution, particle‑size percentiles, plasticity indices, and specific gravity. The material is characterized through standard size‑fraction analysis (gravel, sand, silt, clay, and fines content), complemented by key percentile metrics (d10–d90) used to derive uniformity and curvature coefficients. Atterberg limits (LL, PL, PI) provide additional insight into the plastic behavior of the fine fraction. Each sample is classified according to the Unified Soil Classification System (USCS). Together, these parameters enable a comprehensive evaluation of the gradation, plasticity, and physical characteristics of the soils associated with ore extraction, supporting geotechnical interpretation and comparison among sample types.

 



Funding This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Dirección General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González), and by grant PID2022-138197OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/E” (R.L. Rodriguez-Pacheco).
DOI: 10.34740/kaggle/ds/9396063
title: World Wars I & II + WW3 Risk Scenarios (1914–2026)
DOI: 10.15468/dl.z9r5k4
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarcotoechia cuneata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 182 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006816-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tvqms
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hebridean Dolphin and Whale Trust killer whale sightings 1990-2006"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006817-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwnps8
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.12526 32.34102,48.23648 32.34102,48.23648 72.37402,-6.12526 72.37402,-6.12526 32.34102))",
 "OccurrenceStatus is Present",
 "TaxonKey is Lacerta agilis"
 ]
}

 The dataset includes 757 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006818-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebtn4a
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.60438 36.80756,-6.31767 36.78543,-6.15877 36.92915,-5.97761 37.33031,-6.23989 37.42852,-6.66424 37.48748,-6.95246 37.27313,-6.88964 37.1348,-6.69749 37.02278,-6.53889 36.89489,-6.60438 36.80756))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lissotriton boscai"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006820-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31108651
title: Dataset associated with: Tropical forest trees with higher thermal optima of photosynthesis exhibit lower PSII heat stability.

description: Thermal optima and corresponding rates for CO₂ assimilation and linear electron transport (<i>ETR</i>), along with PSII chlorophyll fluorescence thermal thresholds, measured in 11 co-existing tree species during the summer season in a tropical forest of the Western Ghats, India. Values represent means (n = 3) ± SE.Data associated with article associated with the <i>Journal of Experimental Botany</i> article Tiwari et al 2026. https://doi.org/10.1093/jxb/erag045
DOI: 10.6084/m9.figshare.31108651.v1
title: Dataset associated with: Tropical forest trees with higher thermal optima of photosynthesis exhibit lower PSII heat stability.

description: Thermal optima and corresponding rates for CO₂ assimilation and linear electron transport (<i>ETR</i>), along with PSII chlorophyll fluorescence thermal thresholds, measured in 11 co-existing tree species during the summer season in a tropical forest of the Western Ghats, India. Values represent means (n = 3) ± SE.Data associated with article associated with the <i>Journal of Experimental Botany</i> article Tiwari et al 2026. https://doi.org/10.1093/jxb/erag045
DOI: 10.18167/dvn1/mympso
title: SURSY data: Textual data for syndromic surveillance

description: Datasets produced in the context of the &lt;b&gt;SURSY project&lt;/b&gt; to conduct &lt;b&gt;syndromic surveillance for plant health &lt;/b&gt; (monitoring potentially new diseases (i.e. disease X) and the development of already existing diseases on new host plants). &lt;br&gt;&lt;br&gt;

======&lt;br&gt;&lt;br&gt;

&lt;b&gt;Phase 1: Articles collected with PADI-web labeled by thematic categories: &lt;/b&gt;&lt;br&gt;
SV: Plant health (Santé Végétale) &lt;br&gt;
SA: Animal health (Santé Animale) &lt;br&gt;
SP: Public health (Santé Publique) &lt;br&gt;&lt;br&gt;

&lt;b&gt;Phase 2: Articles collected with PADI-web labeled by syndromic categories: &lt;/b&gt;&lt;br&gt;
VS: Syndromic surveillance (veille Syndromique)&lt;br&gt;
NVS: Non syndromic surveillance (Non Veille Syndromique)&lt;br&gt;&lt;br&gt;

======&lt;br&gt;&lt;br&gt;

&lt;b&gt;Phase 1 Datasets&lt;/b&gt;: &lt;br&gt;
&lt;i&gt;Title, Text, Thematic (SV/SA/SP), Disease, Text_without_html, Clean_text &lt;/i&gt;&lt;br&gt;&lt;br&gt;

- P1-UMAP-KMeans – Articles vectorized with TF-IDF (max 10,000 features), reduced to 3D using UMAP, clustered with K-means, and selected around cluster centroids to ensure thematic balance. &lt;br&gt;
CSV file: data_selected_with_umap_kmeans_phase1.csv &lt;br&gt;&lt;br&gt;

- P1-DiseaseBalanced – Balanced selection by disease within SV, then proportional sampling in SA and SP, with undersampling to maintain disease diversity.&lt;br&gt;
CSV file: data_selected_by_disease_phase1.csv &lt;br&gt;&lt;br&gt;

======&lt;br&gt;&lt;br&gt;

&lt;b&gt;Phase 2 Datasets&lt;/b&gt;&lt;br&gt;
&lt;i&gt;Text, Tokens_clean, Text_clean, Type_article (VS/NVS), Thematic (SA/SV) &lt;/I&gt;&lt;br&gt;&lt;br&gt;

- P2+P1-NoDiseaseNamesRatio – Phase 2 data (with disease names) combined with a portion of Phase 1 data (without disease names) to achieve a 1:10 VS/NVS ratio. Phase 1 articles are considered NVS. &lt;br&gt;
CSV file: data_final_phase2.csv &lt;br&gt;&lt;br&gt;

&lt;i&gt;The P2+P1-NoDiseaseNamesRatio dataset gave the best performance and was retained as the main Phase 2 dataset&lt;/i&gt; &lt;br&gt;&lt;br&gt;

Other data of Phase 2 (private): &lt;br&gt;&lt;br&gt;

- P2-Only-WithDiseaseNames – Articles collected exclusively in Phase 2, containing disease names. &lt;br&gt;
CSV file: data_phase2_only_with_disease_names.csv &lt;br&gt;&lt;br&gt;

- P2+P1-WithDiseaseNamesRatio – Phase 2 data (with disease names) combined with a portion of Phase 1 data (also with disease names) to achieve the same 1:10 ratio.&lt;br&gt;
CSV file: p2_with_p1_both_disease_names_public.csv &lt;br&gt;&lt;br&gt;

- P2+P1-WithDiseaseNames-Cleaned – Data from version 3 with all disease names removed.&lt;br&gt;
CSV file: p2_with_p1_both_no_disease_names_public.csv &lt;br&gt;&lt;br&gt;
description: PADI-web
description: - SURSY project (SURveillance SYndromique pour la veille épidémiologique végétale CLAPAS, Univ. Montpellier, France): https://clapas.umontpellier.fr/projets/projet-sursy/<br>
- Code: https://github.com/rosalie0309/Projet_SURSY
DOI: 10.15468/dl.827hk2
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serjania communis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 690 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006821-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18452804
title: SuperDARN data in netCDF format (2011-Apr)

description: 2011-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6534159
title: SuperDARN data in netCDF format (2011-Apr)

description: 2011-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.31229374
title: Music Therapy Study Dataset: Urban Chinese Primary School Study

description: This dataset supports a quasi-experimental study on the effects of a 12-week school-based music therapy program on executive function and emotional regulation in Chinese primary school students (ages 9–11). It includes anonymized pre- and post-intervention data for working memory, inhibitory control, emotional regulation, and demographics.
DOI: 10.6084/m9.figshare.31229374.v1
title: Music Therapy Study Dataset: Urban Chinese Primary School Study

description: This dataset supports a quasi-experimental study on the effects of a 12-week school-based music therapy program on executive function and emotional regulation in Chinese primary school students (ages 9–11). It includes anonymized pre- and post-intervention data for working memory, inhibitory control, emotional regulation, and demographics.
DOI: 10.15468/dl.dqe68f
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serjania incana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006822-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28882502
title: Supplementary Tables for 'The feline oncogenome' study

description: Domestic cats and dogs are common household pets, with cancer a common cause of morbidity and mortality in these companion animals. Since the feline oncogenome remains uncharacterised, we sequenced 493 feline tumor-normal tissue pairs comprising 13 tumor types, focusing on the feline orthologs of ~1,000 human cancer genes. <i>TP53</i> was the most frequently mutated gene identified across all tumor types, and one of 31 driver genes identified. Together with identifying somatic copy number alterations, mutational signatures, viral sequences, and tumor-predisposing germline variants, our study provides a comprehensive picture of the feline oncogenome. Importantly, this study demonstrates key similarities with the human oncogenome, confirming the cat as a valuable model for comparative studies, and identifies potentially actionable mutations, which align with a ‘One Medicine’ approach. The files in this dataset are the Supplementary Tables to accompany the manuscript for this study.
DOI: 10.6084/m9.figshare.28882502.v4
title: Supplementary Tables for 'The feline oncogenome' study

description: Domestic cats and dogs are common household pets, with cancer a common cause of morbidity and mortality in these companion animals. Since the feline oncogenome remains uncharacterised, we sequenced 493 feline tumor-normal tissue pairs comprising 13 tumor types, focusing on the feline orthologs of ~1,000 human cancer genes. <i>TP53</i> was the most frequently mutated gene identified across all tumor types, and one of 31 driver genes identified. Together with identifying somatic copy number alterations, mutational signatures, viral sequences, and tumor-predisposing germline variants, our study provides a comprehensive picture of the feline oncogenome. Importantly, this study demonstrates key similarities with the human oncogenome, confirming the cat as a valuable model for comparative studies, and identifies potentially actionable mutations, which align with a ‘One Medicine’ approach. The files in this dataset are the Supplementary Tables to accompany the manuscript for this study.
DOI: 10.6084/m9.figshare.28882502.v3
title: Supplementary Tables for 'The feline oncogenome' study

description: Domestic cats and dogs are common household pets, with cancer a common cause of morbidity and mortality in these companion animals. Since the feline oncogenome remains uncharacterised, we sequenced 493 feline tumor-normal tissue pairs comprising 13 tumor types, focusing on the feline orthologs of ~1,000 human cancer genes. <i>TP53</i> was the most frequently mutated gene identified across all tumor types, and one of 31 driver genes identified. Together with identifying somatic copy number alterations, mutational signatures, viral sequences, and tumor-predisposing germline variants, our study provides a comprehensive picture of the feline oncogenome. Importantly, this study demonstrates key similarities with the human oncogenome, confirming the cat as a valuable model for comparative studies, and identifies potentially actionable mutations, which align with a ‘One Medicine’ approach. The files in this dataset are the Supplementary Tables to accompany the manuscript for this study.
DOI: 10.5517/ccdc.csd.cc26l4hg
title: CCDC 2043225: Experimental Crystal Structure Determination

description: Related Article: Andrzej Nowok, Hubert Hellwig, Mateusz Dulski, Maria Książek, Joachim Kusz, Piotr Kuś, Sebastian Pawlus|2024|J.Phys.Chem.B|128|1915|doi:10.1021/acs.jpcb.3c06727
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h7hlv
title: CCDC 2301117: Experimental Crystal Structure Determination

description: Related Article: Brindha Gap-Gaupool, Sarah M. Glenn, Emily Milburn, Obolbek Turapov, Marialuisa Crosatti, Jennifer Hincks, Bradley Stewart, Joanna Bacon, Sharon L. Kendall, Martin I. Voskuil, Olga Riabova, Natalia Monakhova, Jeffrey Green, Simon J. Waddell, Vadim A. Makarov, Galina V. Mukamolova |2024|Commun. Biol.|7|1206|doi:10.1038/s42003-024-06912-0
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h7hmw
title: CCDC 2301118: Experimental Crystal Structure Determination

description: Related Article: Brindha Gap-Gaupool, Sarah M. Glenn, Emily Milburn, Obolbek Turapov, Marialuisa Crosatti, Jennifer Hincks, Bradley Stewart, Joanna Bacon, Sharon L. Kendall, Martin I. Voskuil, Olga Riabova, Natalia Monakhova, Jeffrey Green, Simon J. Waddell, Vadim A. Makarov, Galina V. Mukamolova |2024|Commun. Biol.|7|1206|doi:10.1038/s42003-024-06912-0
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.