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

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((138.30138 41.16944,147.50589 41.16944,147.50589 45.90473,138.30138 45.90473,138.30138 41.16944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus padus"
 ]
}

 The dataset includes 97 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026478-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnwjr8
title: Occurrence Download

description: A dataset containing 34862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola kali"
 ]
}

 The dataset includes 34862 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026477-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18676981
title: Dataset: Air Quality Dataset for Shantou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Shantou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Shantou, compare Shantou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18676980
title: Dataset: Air Quality Dataset for Shantou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Shantou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Shantou, compare Shantou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.rmw9ry
title: Occurrence Download

description: A dataset containing 88524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Specimen, Occurrence evidence)",
 "Geometry POLYGON((-116.79683 31.73948,-116.27428 31.73948,-116.16904 32.106,-116.2271 32.19817,-116.5283 32.33012,-116.89118 32.24729,-117.03996 32.0568,-116.90932 31.85513,-116.79683 31.73948))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 88524 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026460-260208012135463/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.31360546
title: loan data

description: US Small Business Administration is helping small businesses by lending and guaranteeing a small portion of the loan. You will then want to classify this loan as “higher risk—more likely to default” or “lower risk—more likely to not default” when making your decision
DOI: 10.6084/m9.figshare.31360546.v1
title: loan data

description: US Small Business Administration is helping small businesses by lending and guaranteeing a small portion of the loan. You will then want to classify this loan as “higher risk—more likely to default” or “lower risk—more likely to not default” when making your decision
DOI: 10.5281/zenodo.18676991
title: Dataset: Air Quality Dataset for Los Angeles (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Los Angeles covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Los Angeles, compare Los Angeles with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18676992
title: Dataset: Air Quality Dataset for Los Angeles (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Los Angeles covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Los Angeles, compare Los Angeles with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.4kqe4e
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Papua New Guinea",
 "OccurrenceStatus is Present",
 "TaxonKey is Glossogobius coatesi"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026480-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft8849
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola komarovii"
 ]
}

 The dataset includes 689 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026481-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/nzsn6b
title: NCOS1959_Crustacea

description: The Database of NCOS-China includes records of specimen collected in the Marine Biological Museum of Chinese Academy of Sciences during the National Comprehensive Oceanographic Survey (NCOS) from 1958 to 1960. The surveyed area covered the coast of China Seas, including the Bohai Sea, the Yellow Sea, the East China Sea and the South China Sea, almost 1200 sampling stations. Most taxa of marine invertebrates were obtained in this survey. This dataset contains the Crustacea data.
DOI: 10.5281/zenodo.18676997
title: Dataset: Air Quality Dataset for Faisalabad (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Faisalabad covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Faisalabad, compare Faisalabad with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18676998
title: Dataset: Air Quality Dataset for Faisalabad (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Faisalabad covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Faisalabad, compare Faisalabad with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18373844
title: Probing the hAGO2-siRNA Interactions: A Molecular Dynamics Study on the Impact of Chemical Modifications in the Seed Region
DOI: 10.5281/zenodo.18373843
title: Probing the hAGO2-siRNA Interactions: A Molecular Dynamics Study on the Impact of Chemical Modifications in the Seed Region
DOI: 10.5281/zenodo.18677002
title: Dataset: Air Quality Dataset for Dubai (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Dubai covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Dubai, compare Dubai with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677001
title: Dataset: Air Quality Dataset for Dubai (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Dubai covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Dubai, compare Dubai with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.sxf7dd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Papua New Guinea",
 "OccurrenceStatus is Present",
 "TaxonKey is Chilatherina axelrodi"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026484-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtqwfz
title: Occurrence Download

description: A dataset containing 17897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aburria aburri",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17897 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026483-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mgxbv
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola laricifolia"
 ]
}

 The dataset includes 72 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026485-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677007
title: Dataset: Air Quality Dataset for Yokohama (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Yokohama covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Yokohama, compare Yokohama with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677008
title: Dataset: Air Quality Dataset for Yokohama (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Yokohama covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Yokohama, compare Yokohama with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.dymqta
title: Occurrence Download

description: A dataset containing 180082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis macrochirus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 180082 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026458-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677011
title: Dataset: Air Quality Dataset for Fuzhou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Fuzhou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Fuzhou, compare Fuzhou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677010
title: Dataset: Air Quality Dataset for Fuzhou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Fuzhou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Fuzhou, compare Fuzhou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18676959
title: Variational Bayesian Estimation of Item Response Theory Models with Missing Data
DOI: 10.5281/zenodo.18676958
title: Variational Bayesian Estimation of Item Response Theory Models with Missing Data
DOI: 10.5281/zenodo.18677017
title: Dataset: Air Quality Dataset for Ningbo (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Ningbo covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Ningbo, compare Ningbo with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677016
title: Dataset: Air Quality Dataset for Ningbo (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Ningbo covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Ningbo, compare Ningbo with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.rzsdpm
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola monoptera"
 ]
}

 The dataset includes 88 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026486-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677021
title: Dataset: Air Quality Dataset for Casablanca (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Casablanca covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Casablanca, compare Casablanca with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677020
title: Dataset: Air Quality Dataset for Casablanca (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Casablanca covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Casablanca, compare Casablanca with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/6w2m9e
title: Literature collection of non fish species occurrences in the ASEAN region

description: A collection of Museum literature, human observations and specimen of Non fish species occurrences from the ASEAN Region.
DOI: 10.5281/zenodo.18677029
title: Dataset: Air Quality Dataset for Ibadan (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Ibadan covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Ibadan, compare Ibadan with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677028
title: Dataset: Air Quality Dataset for Ibadan (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Ibadan covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Ibadan, compare Ibadan with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.k7hx8r
title: Occurrence Download

description: A dataset containing 786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.45_1",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Asclepias asperula"
 ]
}

 The dataset includes 786 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026488-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7kuhk
title: Occurrence Download

description: A dataset containing 87514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lasiocampa quercus"
 ]
}

 The dataset includes 87514 records from 840 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026466-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.