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

description: A dataset containing 1917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "Country is Australia",
 "TaxonKey is Acanthophis antarcticus (Shaw, 1802)"
 ]
}

 The dataset includes 1917 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019816-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn6jaf
title: Occurrence Download

description: A dataset containing 43173 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Togo"
 ]
}

 The dataset includes 43173 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034523-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ektvnd
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metrodorea pubescens A.St.-Hil. & Tul."
 ]
}

 The dataset includes 28 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002960-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsjcfr
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "Country is Togo",
 "License is CC-BY 4.0"
 ]
}

 The dataset includes 139 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034524-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79t5kn
title: Occurrence Download

description: A dataset containing 2010 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term monitoring of lizards and geckos in Doñana 2005-2021"
 ]
}

 The dataset includes 2010 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019779-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukpikr
title: Occurrence Download

description: A dataset containing 767 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global subterranean fishes"
 ]
}

 The dataset includes 767 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002961-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjmkmd
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Liste taxonomique des serpents et autres reptiles du Togo",
 {
 "or" : [
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 }
 ]
}

 The dataset includes 672 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034526-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vecyfc
title: Occurrence Download

description: A dataset listing the 1666 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "CollectionKey is one of (d10450ea-4448-4bcb-83a3-c03c53d397a8)"
 ]
}

 The dataset's 1666 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008921-240216155721649/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.24266059
title: URBAN_GLOBAL_LOCAL_dataset

description: Here, we combined a global field survey including natural and urban greenspaces in 56 municipalities from 17 countries and six continents and a high-resolution local soil survey including 311 soil samples across 16 administrative districts in Shanghai urban greenspaces to investigate the connection between human populations and economies with the proportion of potential soil-borne fungal human and animal pathogens across urban greenspaces.
DOI: 10.6084/m9.figshare.24266059.v2
title: URBAN_GLOBAL_LOCAL_dataset

description: Here, we combined a global field survey including natural and urban greenspaces in 56 municipalities from 17 countries and six continents and a high-resolution local soil survey including 311 soil samples across 16 administrative districts in Shanghai urban greenspaces to investigate the connection between human populations and economies with the proportion of potential soil-borne fungal human and animal pathogens across urban greenspaces.
DOI: 10.15468/dl.vj59lh
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PSU-Seaweed Collection"
 ]
}

 The dataset includes 485 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002961-190813142620410/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.24266059.v1
title: URBAN_GLOBAL_LOCAL_dataset

description: Here, we combined a global field survey including natural and urban greenspaces in 56 municipalities from 17 countries and six continents and a high-resolution local soil survey including 311 soil samples across 16 administrative districts in Shanghai urban greenspaces to investigate the connection between human populations and economies with the proportion of potential soil-borne fungal human and animal pathogens across urban greenspaces.
DOI: 10.15468/dl.kdsmlo
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Liste taxonomique des serpents et autres reptiles du Togo",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 }
 ]
}

 The dataset includes 672 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034528-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jf4qd4
title: Occurrence Download

description: A dataset containing 972 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 Saxicola jerdoni (Blyth, 1867)"
 ]
}

 The dataset includes 972 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049146-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atraih
title: Occurrence Download

description: A dataset containing 1873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Togo",
 "Year 1980-1985",
 {
 "or" : [
 "License is CC-BY 4.0",
 "License is CC0 1.0"
 ]
 }
 ]
}

 The dataset includes 1873 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034540-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7w35d
title: Occurrence Download

description: A dataset containing 4808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanoptila cyanomelana (Temminck, 1829)",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4808 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001472-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dpe1u
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON((24.79 -31.53,24.79 -31.50,24.84 -31.50,24.84 -31.53,24.79 -31.53))",
 "DatasetKey is EWT: African Crane Conservation Programme Sightings"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002962-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g8ytv
title: Occurrence Download

description: A dataset containing 1873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Togo",
 "Year 1980-1985",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 }
 ]
}

 The dataset includes 1873 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034541-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzrg22
title: Occurrence Download

description: A dataset containing 1605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.27888 2.93162,-78.09831 2.93162,-78.09831 3.00391,-78.27888 3.00391,-78.27888 2.93162))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1605 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008918-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxqp18
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate rounded",
 "Issue is Country derived from coordinates"
 ]
 },
 "Year 1970-2019",
 "TaxonKey is Pomacea canaliculata (Lamarck, 1822)"
 ]
}

 The dataset includes 571 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002962-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k56c3k
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia seyal Delile",
 "Country is Egypt"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034543-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhhqvn
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha stenophylla K.Schum."
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008932-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4n6hk
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammillaria crinita subsp. crinita"
 ]
}

 The dataset includes 121 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002962-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re6ddx
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionKey is a90ba963-9569-4b96-8d56-452aa7b83f75",
 "Country is one of (New Zealand, Tonga, international waters)"
 ]
}

 The dataset includes 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019790-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez5jbs
title: Occurrence Download

description: A dataset containing 1873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Togo",
 "Year 1980-1985",
 {
 "or" : [
 "License is CC0 1.0",
 "License is CC-BY 4.0"
 ]
 }
 ]
}

 The dataset includes 1873 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034548-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zptgwb
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON((24.79 -31.53,24.79 -31.50,24.84 -31.50,24.84 -31.53,24.79 -31.53))",
 "DatasetKey is EWT: African Crane Conservation Programme Sightings"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002963-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h8c654
title: Occurrence Download

description: A dataset containing 4320 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-74.77044 9.6045,-76.90027 6.15277,-76.90027 2.87188,-79.61096 0.93683,-80.19182 -1.57999,-80.19182 -4.67293,-77.28751 -10.0476,-74.18958 -14.58623,-69.92993 -17.19308,-65.28304 -18.66677,-60.82976 -17.00802,-56.95735 -15.33446,-52.50408 -15.89388,-49.01891 -12.13751,-44.1784 -10.42867,-41.08047 -9.09298,-39.53151 -4.86588,-43.40392 -2.35401,-49.21253 0.74323,-51.34236 3.45185,-74.77044 9.6045))",
 "Geometry POLYGON((-73.47556 10.6684,-73.33679 7.65471,-53.21479 1.71012,-51.27198 4.48125,-58.07183 7.9297,-65.56554 10.259,-73.47556 10.6684))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saguinus"
 ]
}

 The dataset includes 4320 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049584-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq6fu4
title: Occurrence Download

description: A dataset containing 204363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The reptiles and amphibians collection (RA) of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 204363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049564-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfmff5
title: Occurrence Download

description: A dataset containing 3505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neoamphitrite figulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3505 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039915-251120083545085/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.30829352
title: Different translated versions of Quran

description: Include 24 diffrent translated versions' information of Qu
DOI: 10.6084/m9.figshare.30829352.v1
title: Different translated versions of Quran

description: Include 24 diffrent translated versions' information of Qu
DOI: 10.4121/d7c8091b-fc2b-4c21-a498-d4a01c9a7a40
title: Supporting data and code for "Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions"

description: This repository contains the data and code supporting the preprint "Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions" currently open for discussion in Geoscientific Model Development (https://doi.org/10.5194/egusphere-2025-2661).<br>The repository contains two archives: The PREPROCESSED archive contains pre-processed data describing the zonal-average changes in the ozone distribution (in kg) in response to supersonic emission scenarios, these datasets are based on data from van 't Hoff et al. 2025 and 2024. The CODE archive contains a set of python files containing the code used for the generation of the results of the manuscript associated with this dataset. The README file contains a summary of the archive's contents and how to use the code within this repository.<br>The data supporting this work is made public as supplementary data to this article, and in order to allow other researchers to use these datasets for their own research. The dataset was generated using computational resources of the Cartesius and Snellius supercomputers of the Dutch e-infrastructure network provided by the SURF collective under grant numbers EINF-1504, EINF-3690, and EINF-5945. This research was funded by the MORE&LESS consortium of the Horizon 2020 cycle (grant No.101006856).<br><strong>Dataset Purpose</strong>This dataset and code was built to evaluate the ability of data-driven discovery and model reduction methods to act as reduced-order models for data from chemistry transport models describing large-scale perturbations. Pre-processed Chemistry transport evaluations from van `t Hoff et al. 2025 and van `t Hoff et al. 2024 are used as test cases. These test cases describe how the distribution of global ozone changes in response to several supersonic emission scenarios. For descriptions of these datasets we refer to their associated repositories. The applied pre-processing calculates the change in ozone in terms of mass, and longitudinally averages this change.<br><strong>Terms of use</strong> This data and code is provided for public use under the CC BY license. Others may freely build upon it, given that thesource is properly acknowledged.<br><strong>References:</strong>van ’t Hoff JA, Grewe V, Dedoussi IC. Sensitivities of Ozone and Radiative Forcing to Supersonic Aircraft Emissions Across Two Flight Corridors. Journal of Geophysical Research: Atmospheres. 2024;129(22):e2023JD040476. DOI:10.1029/2023JD040476van ’t Hoff JA, Hauglustaine D, Pletzer J, Skowron A, Grewe V, Matthes S, et al. Multi-model assessment of the atmospheric and radiative effects of supersonic transport aircraft. Atmospheric Chemistry and Physics. 2025 Feb 27;25(4):2515–50. DOI:10.5194/acp-25-2515-2025
DOI: 10.4121/d7c8091b-fc2b-4c21-a498-d4a01c9a7a40.v1
title: Supporting data and code for "Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions"

description: This repository contains the data and code supporting the preprint "Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions" currently open for discussion in Geoscientific Model Development (https://doi.org/10.5194/egusphere-2025-2661).<br>The repository contains two archives: The PREPROCESSED archive contains pre-processed data describing the zonal-average changes in the ozone distribution (in kg) in response to supersonic emission scenarios, these datasets are based on data from van 't Hoff et al. 2025 and 2024. The CODE archive contains a set of python files containing the code used for the generation of the results of the manuscript associated with this dataset. The README file contains a summary of the archive's contents and how to use the code within this repository.<br>The data supporting this work is made public as supplementary data to this article, and in order to allow other researchers to use these datasets for their own research. The dataset was generated using computational resources of the Cartesius and Snellius supercomputers of the Dutch e-infrastructure network provided by the SURF collective under grant numbers EINF-1504, EINF-3690, and EINF-5945. This research was funded by the MORE&LESS consortium of the Horizon 2020 cycle (grant No.101006856).<br><strong>Dataset Purpose</strong>This dataset and code was built to evaluate the ability of data-driven discovery and model reduction methods to act as reduced-order models for data from chemistry transport models describing large-scale perturbations. Pre-processed Chemistry transport evaluations from van `t Hoff et al. 2025 and van `t Hoff et al. 2024 are used as test cases. These test cases describe how the distribution of global ozone changes in response to several supersonic emission scenarios. For descriptions of these datasets we refer to their associated repositories. The applied pre-processing calculates the change in ozone in terms of mass, and longitudinally averages this change.<br><strong>Terms of use</strong> This data and code is provided for public use under the CC BY license. Others may freely build upon it, given that thesource is properly acknowledged.<br><strong>References:</strong>van ’t Hoff JA, Grewe V, Dedoussi IC. Sensitivities of Ozone and Radiative Forcing to Supersonic Aircraft Emissions Across Two Flight Corridors. Journal of Geophysical Research: Atmospheres. 2024;129(22):e2023JD040476. DOI:10.1029/2023JD040476van ’t Hoff JA, Hauglustaine D, Pletzer J, Skowron A, Grewe V, Matthes S, et al. Multi-model assessment of the atmospheric and radiative effects of supersonic transport aircraft. Atmospheric Chemistry and Physics. 2025 Feb 27;25(4):2515–50. DOI:10.5194/acp-25-2515-2025
DOI: 10.5281/zenodo.17800829
title: Degradation atlas for MAD's collections

description: This database presents the identification and condition assessment of plastic objects from the Design, Toys, Fashion, and Advertising departments of the Musée des Arts Décoratifs (Paris, France), with the aim of creating a degradation atlas.
DOI: 10.5281/zenodo.17855344
title: Degradation atlas for MAD's collections

description: This database presents the identification and condition assessment of plastic objects from the Design, Toys, Fashion, and Advertising departments of the Musée des Arts Décoratifs (Paris, France), with the aim of creating a degradation atlas.