cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u6yaph
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies grandis",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016347-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.s5ld5oxt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1175 records)
DOI: 10.15468/dl.x7b2ek
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (NMNH Extant Specimen Records (USNM, US), NatureServe Network Species Occurrence Data, Auburn University Museum of Natural History Herpetology Voucher Collections, University of Florida Herpetology, CM Herps Collection, University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, International Barcode of Life project (iBOL), NMNH Material Samples (USNM), Collection Herpetologie - SNSD)",
 "TaxonKey is Sternotherus depressus"
 ]
}

 The dataset includes 215 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016349-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzmhqp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Sternotherus depressus"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016350-250920141307145/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.28950032
title: Dataset and supporting code for manuscript: "A tale of two birds: cognitive simplicity drives collective route improvements in homing pigeons"

description: The following repository contains the dataset and code required to reproduce the results from the manuscript: "A tale of two birds: cognitive simplicity drives collective route improvements in homing pigeons". The dataset is structured to contain the raw data files of pigeon trajectories, scripts used to simulate and analyze different learning strategies and the results and plots used and shown in the manuscript.
DOI: 10.6084/m9.figshare.28950032.v1
title: Dataset and supporting code for manuscript: "A tale of two birds: cognitive simplicity drives collective route improvements in homing pigeons"

description: The following repository contains the dataset and code required to reproduce the results from the manuscript: "A tale of two birds: cognitive simplicity drives collective route improvements in homing pigeons". The dataset is structured to contain the raw data files of pigeon trajectories, scripts used to simulate and analyze different learning strategies and the results and plots used and shown in the manuscript.
DOI: 10.15468/dl.peubr6
title: Occurrence Download

description: A dataset containing 30828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arecaceae",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30828 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016351-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18128/d030.v13.0
title: IPUMS, Current Population Survey: Version 13.0

description: IPUMS-CPS is dedicated to integrating and disseminating microdata from the Current Population Survey (CPS). The CPS is a monthly U.S. household survey conducted jointly by the U.S. Census Bureau and the Bureau of Labor Statistics. IPUMS-CPS contains harmonized data from every Annual Social and Economic Supplement (ASEC) supplement from 1962 to the present and all other supplements from 1976 to present. In addition to the many of the variables included in census data (race and ethnicity, education, income, occupation, industry, migration, disability, and veteran status), IPUMS-CPS includes additional information on work and income, such as participation in welfare programs, job searching, barriers to looking for work, union membership, hourly wages, health insurance, and tax liability. In addition, monthly supplements supplemental for certain years include information on computer and Internet use, displaced workers, fertility, food security, job tenure, tobacco use, volunteer activities, voter registration, and work schedules. IPUMS-CPS data are available through an online data access system free of charge to registered users at cps.ipums.org.
DOI: 10.15468/dl.7p8rk4
title: Occurrence Download

description: A dataset containing 2067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is one of (University of Florida Vertebrate Paleontology, CM Herps Collection, NMNH Extant Specimen Records (USNM, US), Palaeobiology - Vertebrate Fossils Collection - Non Mammalia - Royal Ontario Museum, NCSM Herpetology Collection, University of Florida Herpetology, AMNH Herpetology Collections, KUBI Herpetology Collection, University of Michigan Museum of Zoology, Division of Reptiles & Amphibians)",
 "TaxonKey is Apalone ferox"
 ]
}

 The dataset includes 2067 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016353-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bxnuy
title: Occurrence Download

description: A dataset containing 2158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies grandis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2158 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016354-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13171895
title: Antutu Benchmark
DOI: 10.15468/dl.d94zug
title: Occurrence Download

description: A dataset containing 21387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ageratum houstonianum",
 "Year 1000-2025"
 ]
}

 The dataset includes 21387 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016355-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7wp98
title: Occurrence Download

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

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016357-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7ucjh
title: Occurrence Download

description: A dataset containing 2124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies grandis",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2124 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016358-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.1b87o44d
title: BEL2019_0063

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.8b1a64bq
title: BEL2019_0064

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.082bb446
title: BEL2020_0154

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.2187a770
title: BEL2020_0081

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.3ca5j066
title: BEL2020_0103

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.4bab3uo9
title: BEL2019_0068

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.52bfklj5
title: BEL2020_0155

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.6dab6z4b
title: BEL2019_0066

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.6e3a7it9
title: BEL2019_0070

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.75a80lbi
title: BEL2020_0153

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.87ce0675
title: BEL2019_0065

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.8c464n34
title: BEL2020_0151

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.c5bbdfv1
title: BEL2020_0102

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.34847/nkl.f513o4kt
title: BEL2020_0152

description: Fichier dérivé (TEI).
description: Fichier source (TGD).
description: Fichier source (WAV).
DOI: 10.15468/dl.wprs47
title: Occurrence Download

description: A dataset containing 9794 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmognathus brimleyorum"
 ]
}

 The dataset includes 9794 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016360-250920141307145/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.29261973
title: Machine learning approach to PM<sub>2.5</sub> forecasting and health risk assessment during stubble burning period in Delhi

description: Delhi experiences higher air pollutant levels in October and November owing to burning agricultural residue in neighboring states, adverse meteorological conditions, and anthropogenic emissions. This study explores the health concerns related to exposure to high concentrations of PM<sub>2.5</sub> in Delhi due to stubble burning between 2018 and 2023 along with forecasting PM<sub>2.5</sub> using different machine learning approaches. We have employed the AirQ + model to assess the health risks due to short-term and long-term exposure to elevated PM<sub>2.5</sub> concentration during the stubble-burning months. The respiratory health of residents of Delhi was found to be significantly vulnerable to short-term exposure to PM<sub>2.5</sub> (6-year average: estimated attributable proportion (EAP) = 18.06%, estimated number of cases (ENC) = 46,278, and estimated number of cases per 100,000 population at risk (ENCPR) = 228). Long-term exposure to PM<sub>2.5</sub> during stubble-burning months significantly impacted mortality rates due to chronic obstructive pulmonary disease (COPD) and stroke in adults and mortality due to acute lower respiratory infection (ALRI) in children. Additionally, three machine learning models: Artificial Neural Network (ANN), Support Vector Machine using Radial Basis Function (SVM RBF), and Random Forest (RF) were utilized for PM<sub>2.5</sub> forecasting in stubble-burning months. The random forest was found to be consistent in the training phase (R<sup>2</sup> = 0.895, RMSE = 0.058, and MAE = 0.037) as well as in the testing phase (R<sup>2</sup> = 0.842, RMSE = 0.06, and MAE = 0.045) for PM<sub>2.5</sub> forecasting. The novelty of this study lies in its integrative approach that combines health risk assessment with comparative machine learning based PM<sub>2.5</sub> forecasting in stubble-burning months in Delhi. The outcomes will be helpful in informed policy formulation along with potential mitigation strategies for improving the air quality of Delhi. Copyright © 2025 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.29261973.v1
title: Machine learning approach to PM<sub>2.5</sub> forecasting and health risk assessment during stubble burning period in Delhi

description: Delhi experiences higher air pollutant levels in October and November owing to burning agricultural residue in neighboring states, adverse meteorological conditions, and anthropogenic emissions. This study explores the health concerns related to exposure to high concentrations of PM<sub>2.5</sub> in Delhi due to stubble burning between 2018 and 2023 along with forecasting PM<sub>2.5</sub> using different machine learning approaches. We have employed the AirQ + model to assess the health risks due to short-term and long-term exposure to elevated PM<sub>2.5</sub> concentration during the stubble-burning months. The respiratory health of residents of Delhi was found to be significantly vulnerable to short-term exposure to PM<sub>2.5</sub> (6-year average: estimated attributable proportion (EAP) = 18.06%, estimated number of cases (ENC) = 46,278, and estimated number of cases per 100,000 population at risk (ENCPR) = 228). Long-term exposure to PM<sub>2.5</sub> during stubble-burning months significantly impacted mortality rates due to chronic obstructive pulmonary disease (COPD) and stroke in adults and mortality due to acute lower respiratory infection (ALRI) in children. Additionally, three machine learning models: Artificial Neural Network (ANN), Support Vector Machine using Radial Basis Function (SVM RBF), and Random Forest (RF) were utilized for PM<sub>2.5</sub> forecasting in stubble-burning months. The random forest was found to be consistent in the training phase (R<sup>2</sup> = 0.895, RMSE = 0.058, and MAE = 0.037) as well as in the testing phase (R<sup>2</sup> = 0.842, RMSE = 0.06, and MAE = 0.045) for PM<sub>2.5</sub> forecasting. The novelty of this study lies in its integrative approach that combines health risk assessment with comparative machine learning based PM<sub>2.5</sub> forecasting in stubble-burning months in Delhi. The outcomes will be helpful in informed policy formulation along with potential mitigation strategies for improving the air quality of Delhi. Copyright © 2025 American Association for Aerosol Research
DOI: 10.7910/dvn/xlwczv
title: Raw data for graft impact on direct bypass surgery for Moyamoya disease

description: This dataset provides velocity field and wall shear stress data for different graft angles in direct bypass surgery for Moyamoya disease
DOI: 10.34740/kaggle/dsv/13171904
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.s48pep
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies grandis",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016361-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15521326
title: Oxygenated Organosulfates (OOS) Are an Effective Nucleation Precursor in Mixed Biogenic and Anthropogenic Environments: Data Resources

description: Data for manuscript "Oxygenated Organosulfates (OOS) Are an Effective Nucleation Precursor in Mixed Biogenic and Anthropogenic Environments"
DOI: 10.5281/zenodo.15521327
title: Oxygenated Organosulfates (OOS) Are an Effective Nucleation Precursor in Mixed Biogenic and Anthropogenic Environments: Data Resources

description: Data for manuscript "Oxygenated Organosulfates (OOS) Are an Effective Nucleation Precursor in Mixed Biogenic and Anthropogenic Environments"
DOI: 10.15468/dl.gezctp
title: Occurrence Download

description: A dataset containing 109032 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Asarum europaeum)"
 ]
}

 The dataset includes 109032 records from 451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016305-250920141307145/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.30209881
title: ChatGPT Interview 9-24-2025

description: The dataset is a transcript of an interview with ChatGPT-5 conducted by the author on 9-24-2025. The general focus of the interview was AI development and the alignment problem.
DOI: 10.6084/m9.figshare.30209881.v1
title: ChatGPT Interview 9-24-2025

description: The dataset is a transcript of an interview with ChatGPT-5 conducted by the author on 9-24-2025. The general focus of the interview was AI development and the alignment problem.
DOI: 10.15468/dl.3rphxw
title: Occurrence Download

description: A dataset containing 1542403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larus michahellis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1542403 records from 1546 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016290-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggunjk
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxicesta geographica (Fabricius, 1787)",
 "Year 1970-2023"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055640-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvh7j8
title: Occurrence Download

description: A dataset containing 1619308 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Chile"
 ]
}

 The dataset includes 1619308 records from 1019 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006034-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iyowei
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robinsonella mirandae Gómez Pompa"
 ]
}

 The dataset includes 64 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006035-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8q4uw
title: Occurrence Download

description: A dataset containing 629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis froelichiana DC."
 ]
}

 The dataset includes 629 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151929-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3clmy
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine purpurea Cham. & Schltdl."
 ]
}

 The dataset includes 527 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006035-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjz9jb
title: Occurrence Download

description: A dataset containing 20430 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution de quelques espèces de plantes agroforestières et médicinales au Bénin"
 ]
}

 The dataset includes 20430 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151941-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emnur9
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schefflera leucantha R.Vig."
 ]
}

 The dataset includes 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006035-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygkka9
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis erythia Pau"
 ]
}

 The dataset includes 75 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151920-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1gcm0u
title: Occurrence Download

description: A dataset containing 3025 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3025 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006037-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4dg6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis fodorii Pénzes"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151923-230224095556074/datasets/export for details.
DOI: 10.15468/dl.nzbeb2
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis pardalis"
 ]
}

 The dataset includes 127 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006039-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.