cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60656/fc6873f53f63430a
title: Custom collection of ice water content data from Bucharest, Chilbolton, Galați, Granada, Jülich, and 8 other sites on 8 Jun 2023
DOI: 10.26302/sshade/bandlist_abs_ch4_ch4-i
title: Absorption band list of CH4 in solid CH4 (phase I)

description: FIR-MIR-NIR-Vis absorption band list of the isotopes of CH4 in solid CH4 (phase I) at 30 and 90 K
DOI: 10.60656/8eadb4ae999c4522
title: Custom collection of ice water content data from Bucharest, Chilbolton, Galați, Granada, Hyytiälä, and 9 other sites on 9 Jun 2023
DOI: 10.60656/11126be6a00c4327
title: Custom collection of ice water content data from Bucharest, Chilbolton, Galați, Granada, Hyytiälä, and 9 other sites on 10 Jun 2023
DOI: 10.26302/sshade/bandlist_raman_ch4_ch4-i
title: Raman band list of CH4 in solid CH4 (phase I)

description: MIR Raman band list of CH4 in solid CH4 (phase I) at 77 K
DOI: 10.60656/f03faab3110a40e6
title: Custom collection of ice water content data from Bucharest, Galați, Granada, Hyytiälä, Jülich, and 8 other sites on 11 Jun 2023
DOI: 10.60656/e37f3a11102c454e
title: Custom collection of ice water content data from Bucharest, Galați, Granada, Hyytiälä, Jülich, and 8 other sites on 12 Jun 2023
DOI: 10.60656/1c35662ee7f7495a
title: Custom collection of ice water content data from Bucharest, Chilbolton, Galați, Granada, Hyytiälä, and 9 other sites on 13 Jun 2023
DOI: 10.60656/8039dc3e26c54b18
title: Custom collection of ice water content data from Bucharest, Chilbolton, Galați, Granada, Hyytiälä, and 9 other sites on 14 Jun 2023
DOI: 10.34740/kaggle/dsv/7095051
title: Cat and Penguin (🐱|🐧)
DOI: 10.34740/kaggle/dsv/7095013
title: Dog and Penguin (🐕|🐧)
DOI: 10.34740/kaggle/dsv/7095046
title: Dog  and Turtle  (🐕|🐢)
DOI: 10.34740/kaggle/dsv/7779611
title: My Strava Activities
DOI: 10.34740/kaggle/dsv/7095053
title: Cat and Turtle (🐱|🐢)
DOI: 10.34740/kaggle/ds/4041679
title: Tipical Brazilian Foods
DOI: 10.15468/dl.dx3ygh
title: Occurrence Download

description: A dataset containing 228188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phascolarctos cinereus (Goldfuss, 1817)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 228188 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046844-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/4299738
title: The Elder Scrolls Skyrim - Armor
DOI: 10.34740/kaggle/dsv/9405381
title: Transport Images
DOI: 10.34740/kaggle/dsv/7951555
title: Samples IFC - Models
DOI: 10.34740/kaggle/dsv/7951689
title: Samples 3D - Models
DOI: 10.34740/kaggle/dsv/10003535
title: Large-scale Single Object Tracking (LaSOT) - Small
DOI: 10.15468/dl.9nnn7x
title: Occurrence Download

description: A dataset containing 11428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Passiflora L."
 ]
}

 The dataset includes 11428 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046847-241126133413365/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/9284549
title: Dataset Large Scale
DOI: 10.15468/dl.pf296y
title: Occurrence Download

description: A dataset listing the 18780 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset's 18780 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046845-241126133413365/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/9262008
title: Dataset Low Dimensional
DOI: 10.5281/zenodo.14260418
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data and Google Earth Engine code we used during this project to generate our figures showcasing trends in pediatric vulnerability, current heat anomalies, and areas that will see disproportional more warming across the United States. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the code availabile.
DOI: 10.5281/zenodo.14497793
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile.
DOI: 10.5281/zenodo.14540898
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile.
DOI: 10.5281/zenodo.14545889
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile.
DOI: 10.5281/zenodo.14231041
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile.
DOI: 10.5281/zenodo.14548197
title: Pediatric Heat Risk Index Project

description: The pediatric risk index project attempts to create a risk index specifically for pediatric populations using socioeconomic and health data across the United States. This new index is then overlayed with heat warming anomaly trends in this decade and future climate projections to better understand which vulnerable populations have the greatest exposure to extreme heat events and will only continue to be exposed to these events in the future. This repository contains the climate normal data, Google Earth Engine and R code for data processing, and the final data products. MODIS Land Surface Temperature Dataset and the NOAA NCEI Climate Grid Daily Temperature dataset can be accessed via Google Earth Engine with the code in this respository. This repository also has a GitHub link with the Google Earth Engine code availabile.
DOI: 10.6084/m9.figshare.27607014
title: Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction

description: The principal support vector machines method is a powerful tool for sufficient dimension reduction that replaces original predictors with their low-dimensional linear combinations while preserving the information for regression and classification. However, the computational burden of the principal support vector machines method constrains its use for massive data. To address this issue, we propose a naive and a refined distributed estimation algorithms for fast implementation when the sample size is large. Both distributed sufficient dimension reduction estimators exhibit the same statistical efficiency as when all the data is merged together, which provides rigorous statistical guarantees for their application to large-scale datasets, while the refined method requires smaller batch sample sizes and hence is more advantageous when memory limitations exist on distributed machines. The two distributed algorithms are further adapted to principal weighted support vector machines for sufficient dimension reduction in binary classification. The statistical accuracy and computational complexity of our proposed methods are examined through comprehensive simulation studies and in a real data application with more than 600,000 samples.
DOI: 10.6084/m9.figshare.27607014.v1
title: Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction

description: The principal support vector machines method is a powerful tool for sufficient dimension reduction that replaces original predictors with their low-dimensional linear combinations while preserving the information for regression and classification. However, the computational burden of the principal support vector machines method constrains its use for massive data. To address this issue, we propose a naive and a refined distributed estimation algorithms for fast implementation when the sample size is large. Both distributed sufficient dimension reduction estimators exhibit the same statistical efficiency as when all the data is merged together, which provides rigorous statistical guarantees for their application to large-scale datasets, while the refined method requires smaller batch sample sizes and hence is more advantageous when memory limitations exist on distributed machines. The two distributed algorithms are further adapted to principal weighted support vector machines for sufficient dimension reduction in binary classification. The statistical accuracy and computational complexity of our proposed methods are examined through comprehensive simulation studies and in a real data application with more than 600,000 samples.
DOI: 10.15468/dl.wvckqa
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.89555 46.1386,-81.58692 45.66488,-79.98633 45.00455,-79.7064 44.58825,-79.74229 44.38728,-79.65616 44.25808,-79.54132 44.00687,-79.24704 44.07864,-79.11067 44.2509,-79.01018 44.3155,-78.99583 44.02122,-78.69437 44.07147,-78.50775 44.1576,-78.2996 44.0284,-77.99097 44.07147,-77.74693 44.1576,-77.57467 44.06429,-77.45983 44.093,-77.42394 44.27244,-77.48136 44.43034,-77.9479 45.62899,-79.10349 46.91377,-80.89788 46.66974,-81.89555 46.1386))",
 "TaxonKey is Lasionycteris noctivagans (Le Conte, 1831)",
 "Year 1993-2024"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046852-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4w69y
title: Occurrence Download

description: A dataset containing 5621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Chromis viridis (Cuvier, 1830)"
 ]
}

 The dataset includes 5621 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046853-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9z8rf
title: Occurrence Download

description: A dataset containing 1241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lernaeopodidae"
 ]
}

 The dataset includes 1241 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046854-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14548195
title: amarginops_platus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14548196
title: amarginops_platus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14548298
title: aspidura_guentheri_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14548299
title: aspidura_guentheri_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.tfe5ed
title: Occurrence Download

description: A dataset containing 69440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phasianus colchicus Linnaeus, 1758",
 "Country is Germany",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 69440 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046856-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14548336
title: bycanistes_brevis_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14548337
title: bycanistes_brevis_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.s6jkzs
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psittacula krameri (Scopoli, 1769)"
 ]
}

 The dataset's 9 records were derived from 1310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046850-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7bdqw
title: Occurrence Download

description: A dataset containing 3527 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 Chordeiles pusillus Gould, 1861"
 ]
}

 The dataset includes 3527 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059743-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d47lnk
title: Occurrence Download

description: A dataset containing 1700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pinus monophylla Torr. & Frém.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1700 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036431-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95rzjv
title: Occurrence Download

description: A dataset containing 2 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 Spelaeornis formosus (Walden, 1874)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059818-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcmr92
title: Occurrence Download

description: A dataset containing 698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crax alberti Fraser, 1852"
 ]
}

 The dataset includes 698 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115528-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zk5pg
title: Occurrence Download

description: A dataset containing 2396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aleurites moluccanus (L.) Willd.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2396 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045557-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tddsnd
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pinus monticola Douglas ex D.Don",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 738 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036433-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae2p4c
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metaxia excelsa Faber & Moolenbeek, 1991",
 "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 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059793-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma4mym
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pinus mugo subsp. mugo",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 290 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036434-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmrcg8
title: Occurrence Download

description: A dataset containing 1085158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is BirdLife Australia, Birdata",
 "Geometry POLYGON((36.11085 -66.94113,205.88915 -66.94113,205.88915 0.94113,36.11085 0.94113,36.11085 -66.94113))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1987-2005"
 ]
}

 The dataset includes 1085158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222142-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdcvgy
title: Occurrence Download

description: A dataset containing 16840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 2014-2018",
 "Geometry POLYGON((-75.71022 6.0395,-75.39711 6.0395,-75.39711 6.29755,-75.71022 6.29755,-75.71022 6.0395))",
 "TaxonKey is Aves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16840 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036435-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sud4vs
title: Occurrence Download

description: A dataset containing 1385 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 Tachycineta stolzmanni (Philippi, 1902)"
 ]
}

 The dataset includes 1385 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059783-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rjksk
title: Occurrence Download

description: A dataset containing 738 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 Iole virescens Blyth, 1845"
 ]
}

 The dataset includes 738 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059823-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvuahp
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mythimna separata (Walker, 1865)"
 ]
}

 The dataset includes 710 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200369-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.