cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s96k3b
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.95469 47.54560,45.32534 47.54560,45.32534 70.42821,-11.95469 70.42821,-11.95469 47.54560))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harpagoxenus sublaevis"
 ]
}

 The dataset includes 581 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000156-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twgv7y
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssum bornmuelleri"
 ]
}

 The dataset includes 58 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000158-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6011
title: fsl-product-classification
DOI: 10.15468/dl.dygrr7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000162-250717081556266/datasets/export for details.
DOI: 10.15468/dl.bj3q82
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000163-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfzzqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaevola sericea",
 "Country is Saint Lucia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000166-250717081556266/datasets/export for details.
DOI: 10.15468/dl.zc4uyd
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.95469 47.54560,45.32534 47.54560,45.32534 70.42821,-11.95469 70.42821,-11.95469 47.54560))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harpagoxenus sublaevis"
 ]
}

 The dataset includes 581 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000161-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3m7ux
title: Occurrence Download

description: A dataset containing 63312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sicyos angulatus, Ampelopsis glandulosa, Lymantria mathura, Enaphalodes rufulus, Dendrolimus superans, Solanum carolinense, Hakea sericea, Pistia stratiotes, Pulvinaria hydrangeae, Corythucha arcuata, Triadica sebifera, Baccharis halimifolia, Hylobitelus xiaoi, Lygodium japonicum, Vespa mandarinia, Solanum seaforthianum, Saperda candida, Icerya purchasi, Microstegium vimineum, Paederia foetida, Rugulopteryx okamurae, Macrosiphoniella sanborni, Neomyzus circumflexus, Xylosandrus mutilatus, Gunnera tinctoria, Cotoneaster glaucophyllus, Pinus taeda, Prosopis juliflora, Dendrolimus sibiricus, Acaena novae-zelandiae, Lonicera acuminata, Liriope spicata, Cabomba caroliniana, Melaleuca quinquenervia, Platypus quercivorus, Pulvinaria hydrangeae, Xylosandrus crassiusculus, Aphis gossypii, Xylosandrus germanus, Sirex ermak, Pinellia ternata, Megachile sculpturalis, Phedimus stolonifer, Agrilus planipennis, Amaranthus tuberculatus, Corymbia citriodora, Acacia decurrens, Tapinoma melanocephalum, Toumeyella parvicornis, Ligustrum obtusifolium)",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "DecimalLatitude is greater than or equal to -46.681898695999905",
 "DecimalLatitude is less than or equal to -2.555840752999927",
 "DecimalLongitude is greater than or equal to 113.156979514",
 "DecimalLongitude is less than or equal to 178.56617272200003",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 63312 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000145-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0xd-y14-mfb
title: Guapira nitida (Mart. ex J. A. Schmidt) Lundell

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.s4pun8
title: Occurrence Download

description: A dataset containing 60122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Impatiens balfourii, Quercus acutissima, Solenopsis richteri, Murdannia keisak, Xylosandrus crassiusculus, Ehrharta calycina, Dracaena trifasciata, Linepithema humile, Schizachyrium scoparium, Rosa bracteata, Gymnocoronis spilanthoides, Wasmannia auropunctata, Heracleum sosnowskyi, Turanoclytus namaganensis, Spirodela punctata, Megaplatypus mutatus, Humulus scandens, Lespedeza cuneata, Sagittaria platyphylla, Persicaria perfoliata, Alternanthera philoxeroides, Cenchrus purpureus, Tetropium gracilicorne, Cenchrus setaceus, Cortaderia jubata, Xylosandrus crassiusculus, Pheidole megacephala, Andropogon virginicus, Uroleucon erigeronense, Anoplophora glabripennis, Anoplophora glabripennis, Cardiospermum grandiflorum, Polistes chinensis, Polygraphus proximus, Hermetia illucens, Hyphantria cunea, Agrilus anxius, Heracleum persicum, Passiflora tarminiana, Rubus ellipticus, Agrilus auroguttatus, Agrilus planipennis, Solenopsis invicta, Rhyzobius lophanthae, Lonicera japonica, Hedychium coronarium, Salvinia minima, Salvinia molesta, Acacia saligna, Aizoon pubescens)",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "DecimalLatitude is greater than or equal to -46.681898695999905",
 "DecimalLatitude is less than or equal to -2.555840752999927",
 "DecimalLongitude is greater than or equal to 113.156979514",
 "DecimalLongitude is less than or equal to 178.56617272200003",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 60122 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000144-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26066/rds.22324
title: Poverty and Vulnerability Assessment (PVA) household level data of Koshi sub-basin in Nepal
DOI: 10.5281/zenodo.16024558
title: Medical residents: questionnaire data reporting overtime and perceptions of safety culture, supervisor support and medical errors, a Dutch national study

description: Objective: The Dutch care system relies heavily on residents. This group is thought to be an especially susceptible group due to the system of hierarchy and dependence they work in. Multiple studies have related overtime, safety climate and supervision support to medical errors. The aim of this study was to study these themes and their correlations.Design: This cross-sectional questionnaire included multiple validated scales, demographic and employment data. Correlations between themes were calculated using linear regression analyses. Between-group analyses concerning residents’ current position, department, clinical setting and experience level compare mean composite scores. Setting: The survey was distributed through Dutch physician associations and social media, between February and April 2020. 

Participants: 492 medical residents, including trainees and resident-researchers, were included.

Results: Weekly average overtime was 7.8 hours, which is mostly uncompensated. Residents not in a training program, surgical residents and those working in hospitals reported significantly more overtime. Over 1 in 3 felt they had fallen short in the quality of care they deliver. A third of respondents did not have a designated supervisor, and supervisor support scored mediocre overall. Medical errors were associated with the respondents’ scores on poorer safety climate, but other associations were not observed.

Conclusions: Overtime is abundant in residents, especially in surgical specialties. Safety is a priority, but has a tendency to crumble under pressure. Strikingly, a substantial part of residents feel they have performed medical procedures that they were not properly trained for and that they have fallen short in the quality of care they deliver. Supervisor support was mostly present on development of competencies and work-related problems, but residents report poor rewarding behaviors and a third does not have a designated mentor. Medical training programs should acknowledge the importance of these themes and make a tangible effort to monitor residents’ needs and experiences.
DOI: 10.5281/zenodo.16024559
title: Medical residents: questionnaire data reporting overtime and perceptions of safety culture, supervisor support and medical errors, a Dutch national study

description: Objective: The Dutch care system relies heavily on residents. This group is thought to be an especially susceptible group due to the system of hierarchy and dependence they work in. Multiple studies have related overtime, safety climate and supervision support to medical errors. The aim of this study was to study these themes and their correlations.Design: This cross-sectional questionnaire included multiple validated scales, demographic and employment data. Correlations between themes were calculated using linear regression analyses. Between-group analyses concerning residents’ current position, department, clinical setting and experience level compare mean composite scores. Setting: The survey was distributed through Dutch physician associations and social media, between February and April 2020. 

Participants: 492 medical residents, including trainees and resident-researchers, were included.

Results: Weekly average overtime was 7.8 hours, which is mostly uncompensated. Residents not in a training program, surgical residents and those working in hospitals reported significantly more overtime. Over 1 in 3 felt they had fallen short in the quality of care they deliver. A third of respondents did not have a designated supervisor, and supervisor support scored mediocre overall. Medical errors were associated with the respondents’ scores on poorer safety climate, but other associations were not observed.

Conclusions: Overtime is abundant in residents, especially in surgical specialties. Safety is a priority, but has a tendency to crumble under pressure. Strikingly, a substantial part of residents feel they have performed medical procedures that they were not properly trained for and that they have fallen short in the quality of care they deliver. Supervisor support was mostly present on development of competencies and work-related problems, but residents report poor rewarding behaviors and a third does not have a designated mentor. Medical training programs should acknowledge the importance of these themes and make a tangible effort to monitor residents’ needs and experiences.
DOI: 10.34740/kaggle/dsv/12496414
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.z56jtd
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thelypodium howellii"
 ]
}

 The dataset includes 266 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000168-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bq27su
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaevola sericea",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000169-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r53sk4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.36_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000171-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8skw6
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Meconopsis punicea"
 ]
}

 The dataset includes 99 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000170-250717081556266/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.29573123
title: Judge the Votes: A System to Classify Bug Reports and Give Suggestions

description: The aim of the research is to compare the modern reasoning approaches for the bug classification task with the previous state of the art models. We've used 4 language models. We tested them with zero-shot and few-shot settings. Few-shot examples are retrieved using RAG from the training set. We've selected the best model (o3-mini) and fed it the votes from ML models along with the retrieved bug reports with their labels.
DOI: 10.6084/m9.figshare.29573123.v2
title: Judge the Votes: A System to Classify Bug Reports and Give Suggestions

description: The aim of the research is to compare the modern reasoning approaches for the bug classification task with the previous state of the art models. We've used 4 language models. We tested them with zero-shot and few-shot settings. Few-shot examples are retrieved using RAG from the training set. We've selected the best model (o3-mini) and fed it the votes from ML models along with the retrieved bug reports with their labels.
DOI: 10.6084/m9.figshare.29573123.v1
title: Judge the Votes: A System to Classify Bug Reports and Give Suggestions

description: The aim of the research is to compare the modern reasoning approaches for the bug classification task with the previous state of the art models. We've used 4 language models. We tested them with zero-shot and few-shot settings. Few-shot examples are retrieved using RAG from the training set. We've selected the best model (o3-mini) and fed it the votes from ML models along with the retrieved bug reports with their labels.
DOI: 10.5281/zenodo.15629739
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": CATH domains

description: Molecular dynamics dataset for CATH domains accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.
DOI: 10.5281/zenodo.15629740
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": CATH domains

description: Molecular dynamics dataset for CATH domains accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.
DOI: 10.15468/dl.tcynnw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000173-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.15951323
title: Historical Gridded Population of the Yellow River Basin, 1000–2000 AD

description: A gridded time-series dataset reconstructing population distribution across the Yellow River Basin, China, from 1000 to 2000 AD, with a temporal resolution of one century and a spatial resolution of 10 km.
DOI: 10.5281/zenodo.15951324
title: Historical Gridded Population of the Yellow River Basin, 1000–2000 AD

description: A gridded time-series dataset reconstructing population distribution across the Yellow River Basin, China, from 1000 to 2000 AD, with a temporal resolution of one century and a spatial resolution of 10 km.
DOI: 10.5281/zenodo.16025290
title: ACEM 10122 - supplementary files
DOI: 10.5281/zenodo.16025291
title: ACEM 10122 - supplementary files
DOI: 10.15468/dl.4rbdn2
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fimbristylis anomala, Fimbristylis bisumbellata, Fimbristylis bisumbellata elata, Fimbristylis bisumbellata elata, Fimbristylis dichotoma bisumbellata, Fimbristylis dichotoma villosa, Fimbristylis dichotoma villosa, Fimbristylis liukiuensis, Fimbristylis pallescens, Iria bisumbellata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 77 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000176-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rs49yr
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrolepis multiflora",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000177-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf4nzd
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Anthracoceros albirostris"
 ]
}

 The dataset includes 121 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000175-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15641184
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": MegaSim

description: Molecular dynamics dataset for MegaSim systems accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.
DOI: 10.5281/zenodo.15641183
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": MegaSim

description: Molecular dynamics dataset for MegaSim systems accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.
DOI: 10.5281/zenodo.15641198
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": Octapeptides

description: Molecular dynamics dataset for octapeptide systems accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.
DOI: 10.5281/zenodo.15641199
title: Molecular dynamics dataset for "scalable emulation of protein equilibrium ensembles with generative deep learning": Octapeptides

description: Molecular dynamics dataset for octapeptide systems accompanying

Lewis, S.; Hempel, T.; Jiménez-Luna, J.; Gastegger, M.; Xie, Y.; Foong, A. Y. K.; Satorras, V. G.; Abdin, O.; Veeling, B. S.; Zaporozhets, I.; Chen, Y.; Yang, S.; Foster, A. E.; Schneuing, A.; Nigam, J.; Barbero, F.; Stimper, V.; Campbell, A.; Yim, J.; Lienen, M.; Shi, Y.; Zheng, S.; Schulz, H.; Munir, U.; Sordillo, R.; Tomioka, R.; Clementi, C.; Noé, F. Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning. Science 2025. https://doi.org/10.1126/science.adv9817.