cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vyqq2v
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Biodiversity of Kalimantan, Indonesia",
 "Geometry POLYGON((95.85277 -6.75579,132.14723 -6.75579,132.14723 7.75579,95.85277 7.75579,95.85277 -6.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 248 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001680-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjaxjn
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "Geometry POLYGON((106.03421 18.12357,106.28077 17.96696,106.34852 18.00827,106.33202 18.0936,106.26898 18.1874,106.09004 18.18204,106.03421 18.12357))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 4 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001674-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13313569
title: Global Invasive Species Database (GISD)

description: The Global Invasive Species Database is a free, online searchable source of information about alien and invasive species that negatively impact biodiversity. The GISD aims to increase public awareness about invasive species and to facilitate effective prevention and management activities by disseminating specialist__s knowledge and experience to a broad global audience. It focuses on invasive alien species that threaten native biodiversity and natural areas and covers all taxonomic groups from micro-organisms to animals and plants.The Global Invasive Species Database (GISD) is managed by the Invasive Species Specialist Group (ISSG) of the IUCN Species Survival Commission. It was developed between 1998 and 2000 as part of the global initiative on invasive species led by the erstwhile Global Invasive Species Programme (GISP).

http://www.iucngisd.org/gisd/about.php
DOI: 10.5281/zenodo.13313570
title: Global Invasive Species Database (GISD)

description: The Global Invasive Species Database is a free, online searchable source of information about alien and invasive species that negatively impact biodiversity. The GISD aims to increase public awareness about invasive species and to facilitate effective prevention and management activities by disseminating specialist__s knowledge and experience to a broad global audience. It focuses on invasive alien species that threaten native biodiversity and natural areas and covers all taxonomic groups from micro-organisms to animals and plants.The Global Invasive Species Database (GISD) is managed by the Invasive Species Specialist Group (ISSG) of the IUCN Species Survival Commission. It was developed between 1998 and 2000 as part of the global initiative on invasive species led by the erstwhile Global Invasive Species Programme (GISP).

http://www.iucngisd.org/gisd/about.php
DOI: 10.5258/soton/d3342
title: Doctoral Thesis Data - Multimode Processes for Integrated Photonics.

description: Dataset contains
A mixture between experimental and simulation data. Each File in named CH. is chapter then ... is the figure number.
26 Excel or CSV files used to create figures throughout the thesis
DOI: 10.5281/zenodo.13240533
title: Catalogue of Life: Catalog of Life Protists (20 Feb 2019 dump)

description: https://eol-jira.bibalex.org/browse/TRAM-803
Data sets for the assembly of the EOL dynamic hierarchy.
DOI: 10.5281/zenodo.13305479
title: Catalogue of Life: Catalog of Life Protists (20 Feb 2019 dump)

description: https://eol-jira.bibalex.org/browse/TRAM-803
Data sets for the assembly of the EOL dynamic hierarchy.
DOI: 10.15468/dl.cmbrmx
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophiomus setigerus (Vahl, 1797)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 403 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001682-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13315782
title: Arctic Biodiversity: Arctic Freshwater Fishes

description: Biogeography and other attributes for Arctic organisms, various sources.Meltofte, H. (ed.) 2013. Arctic Biodiversity Assessment. Status and trends in Arctic biodiversity. Conservation of Arctic Flora and Fauna, Akureyri. 
https://arcticbiodiversity.is/index.php/the-report/chapters/fishes
DOI: 10.5281/zenodo.13315783
title: Arctic Biodiversity: Arctic Freshwater Fishes

description: Biogeography and other attributes for Arctic organisms, various sources.Meltofte, H. (ed.) 2013. Arctic Biodiversity Assessment. Status and trends in Arctic biodiversity. Conservation of Arctic Flora and Fauna, Akureyri. 
https://arcticbiodiversity.is/index.php/the-report/chapters/fishes
DOI: 10.15468/dl.99e6gy
title: Occurrence Download

description: A dataset containing 2880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Namibia)",
 "TaxonKey is Aloidendron dichotomum (Masson) Klopper & Gideon F.Sm."
 ]
}

 The dataset includes 2880 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001683-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13319206
title: Jennings et al, 2010

description: R.M. Jennings, Bucklin, A., Ossenbrügger, H., R.R.Hopcroft. 2010. Species diversity of planktonic gastropods (Pteropoda and Heteropoda) from six ocean regions based on DNA barcode analysis. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 57, Issues 24–26, Pages 2199-2210. 
 http://www.academia.edu/download/52794415/Species_diversity_of_planktonic_gastropo20170424-28983-p6tlb6.pdf
DOI: 10.5281/zenodo.13319207
title: Jennings et al, 2010

description: R.M. Jennings, Bucklin, A., Ossenbrügger, H., R.R.Hopcroft. 2010. Species diversity of planktonic gastropods (Pteropoda and Heteropoda) from six ocean regions based on DNA barcode analysis. Deep Sea Research Part II: Topical Studies in Oceanography, Volume 57, Issues 24–26, Pages 2199-2210. 
 http://www.academia.edu/download/52794415/Species_diversity_of_planktonic_gastropo20170424-28983-p6tlb6.pdf
DOI: 10.5281/zenodo.13293803
title: icons: foodweb
DOI: 10.5281/zenodo.13293804
title: icons: foodweb
DOI: 10.5281/zenodo.12650002
title: Data set of axle loads and distances for operating passenger and freight trains for development of load models

description: Train data for moving load models of operating trains (3,140 passenger trains and 139,182 freight trains).



axle distances [m] and axle loads [kN] for all trains included in zip-files as txt-files

line categories (DIN EN 15528) and maximum speeds for passenger trains as txt-file
DOI: 10.5281/zenodo.14864336
title: Data set of axle loads and distances for operating passenger and freight trains for development of load models

description: Train data for moving load models of operating trains (5,007 passenger trains and 139,182 freight trains).



axle distances [m] and axle loads [kN] for all trains included in zip-files as txt-files

information on line categories (DIN EN 15528), loadcases and maximum speeds for passenger trains (and assignment to passenger train numbers in previous version of publication (used for development of load model)) in xlsx-file
DOI: 10.5281/zenodo.8362671
title: Data set of axle loads and distances for operating passenger and freight trains for development of load models

description: Train data for moving load models of operating trains (5,007 passenger trains and 139,182 freight trains).



axle distances [m] and axle loads [kN] for all trains included in zip-files as txt-files

information on line categories (DIN EN 15528), loadcases and maximum speeds for passenger trains (and assignment to passenger train numbers in previous version of publication (used for development of load model)) in xlsx-file
DOI: 10.5281/zenodo.8362672
title: Data set of axle loads and distances for operating passenger and freight trains for development of load models

description: Train data for moving load models of operating trains (3,140 passenger trains and 139,182 freight trains).
- axle distances [m] and axle loads [kN] for all trains included in zip-files as txt-files
DOI: 10.5281/zenodo.13322629
title: Botanical Illustrations: Latin Botanical Illustrations

description: Digitally restored by Daniel Salim, literature sources
DOI: 10.5281/zenodo.13322630
title: Botanical Illustrations: Latin Botanical Illustrations

description: Digitally restored by Daniel Salim, literature sources
DOI: 10.15468/dl.x8kegx
title: Occurrence Download

description: A dataset containing 62986 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Rhodiola integrifolia Raf., Helonias bullata L., Baccharis vanessae R.M.Beauch., Warea amplexifolia (Nutt.) Nutt., Pseudoziziphus celata (Judd & D.W.Hall) Hauenschild, Trifolium calcaricum J.L.Collins & Wieboldt, Helianthus verticillatus Small, Asclepias hirtella (Pennell) Woodson, Brickellia mosieri (Small) Shinners, Brickellia mosieri (Small) Shinners, Spiraea alba Du Roi, Chelone cuthbertii Small, Kalmia angustifolia L., Sarracenia purpurea L., Helonias bullata L.)"
 ]
}

 The dataset includes 62986 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090568-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13322930
title: Scarabaeinae dung beetles (myspecies): Resource (124) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322931
title: Scarabaeinae dung beetles (myspecies): Resource (124) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.15468/dl.r24eu4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophiomus laticeps (Ogilby, 1910)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001684-250212154643175/datasets/export for details.
DOI: 10.5281/zenodo.13321040
title: Catalogue of Life: Catalogue of Life 7 February 2023

description: The Catalogue of Life (COL) is the most complete authoritative list of the world__s species, maintained by hundreds of global taxonomists. As a global consortium, we aim to address the needs of researchers, policy-makers, environmental managers and the wider public for a consistent and up-to-date listing of all the world__s known species. We are happy to announce that we have just published the COL Checklist 2022 online!

The COL Checklist 2022 contains well over 2 million accepted species. More than 1.9 million are living species, and the rest are extinct. A large community of taxonomists, over 500 experts globally, representing 165 data sources is underpinning this global species list. Annual releases have long term support and will not be removed, so they continue to be accessible via the [API](https://api.checklistbank.org/dataset/9837.json) and [website of ChecklistBank ](
https://www.checklistbank.org/dataset/9837).
DOI: 10.5281/zenodo.13321041
title: Catalogue of Life: Catalogue of Life 7 February 2023

description: The Catalogue of Life (COL) is the most complete authoritative list of the world__s species, maintained by hundreds of global taxonomists. As a global consortium, we aim to address the needs of researchers, policy-makers, environmental managers and the wider public for a consistent and up-to-date listing of all the world__s known species. We are happy to announce that we have just published the COL Checklist 2022 online!

The COL Checklist 2022 contains well over 2 million accepted species. More than 1.9 million are living species, and the rest are extinct. A large community of taxonomists, over 500 experts globally, representing 165 data sources is underpinning this global species list. Annual releases have long term support and will not be removed, so they continue to be accessible via the [API](https://api.checklistbank.org/dataset/9837.json) and [website of ChecklistBank ](
https://www.checklistbank.org/dataset/9837).
DOI: 10.15468/dl.vb3udz
title: Occurrence Download

description: A dataset containing 1838 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Contrats de Rivière IAS surveillance: monitoring of aquatic and riparian invasive alien species in Wallonia, 2023"
 ]
}

 The dataset includes 1838 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001685-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13322966
title: Yanayacu Natural History Research Group (myspecies): Resource (246) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322967
title: Yanayacu Natural History Research Group (myspecies): Resource (246) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.15156/bio/sh0196340.10fu
title: SH0196340.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196341.10fu
title: SH0196341.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196342.10fu
title: SH0196342.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196343.10fu
title: SH0196343.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196344.10fu
title: SH0196344.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196345.10fu
title: SH0196345.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0196346.10fu
title: SH0196346.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.