cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z7k27b
title: Occurrence Download

description: A dataset containing 11025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avena fatua L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 11025 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017447-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73qkxg
title: Occurrence Download

description: A dataset containing 5056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexanchus griseus (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5056 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017449-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etaj4h
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((18.37348 45.24123,18.46903 45.24123,18.46903 45.35107,18.37348 45.35107,18.37348 45.24123))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 608 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017450-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk6dz4
title: Occurrence Download

description: A dataset containing 2618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allium ericetorum Thore, Allium haussmannii Rouy, Allium suaveolens Duby, Allium szurulense Lerchenf. ex Kanitz, Allium xanthicum var. chloranthum Nyman, Allium xanthicum Griseb. & Schenk, Allium zahariadii subsp. michalkoi Májovský, Allium ochroleucum var. haussmanni Rouy, Allium ochroleucum subsp. pseudosuaveolens Zahar., Allium ochroleucum Waldst. & Kit., Allium sordidum Schur, Allium ambiguum DC., Allium chloranthum Schur, Allium szurulense Lerchenf., Allium xanthicum subsp. pseudochroleucum (Schur) Májovský, Allium odorum Lapeyr., Allium pseudo-ochroleucum Schur, Allium zahariadii Májovský, Allium graminifolium Pers., Allium ochroleucum var. ericetorum (Thore) Nyman, Allium suaveolens subsp. ericetorum (Thore) Cout., Allium ericetorum subsp. pseudosuaveolens (Zahar.) Ciocârlan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2618 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017452-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkjh3h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheilopogon californicus (Cooper, 1863)",
 "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/0017453-241126133413365/datasets/export for details.
DOI: 10.25810/q1-ts57.50
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - October 2024

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.2909/d45d5114-fb86-4265-9c5a-a7225a511f7c
title: CLCplus Backbone 2018 (vector), Europe, Nov. 2024

description: This metadata refers to the 'Corine Land Cover Plus Backbone' (CLCplus Backbone), a spatially detailed, large-scale, Earth Observation-based land cover inventory which is produced by the Copernicus Land Monitoring Service (CLMS). The CLCplus Backbone vector is a land cover map that contains vector polygon geometries (minimum mapping unit: 0.5 ha; minimum mapping width: 20 m) and is based on Sentinel satellite time series and a combination of existing reference datasets for geometries containing transportation and hydrological networks. Each polygon represents aggregated landscape objects and contains their dominant land cover among the 18 basic land cover classes. See polygon class codes in the additional information section. In addition, polygons are enriched with land cover fractions from the CLCplus Backbone raster as well as aggregated attributes based on other CLMS and Copernicus products (e.g. topography). 

CLCplus Backbone vector is an independent product and its thematic and geometric contents differ from CLCplus Backbone raster and Corine Land Cover.

The CLCplus Backbone vector is available for the 2018 reference year.

You can read more about the product here: https://land.copernicus.eu/en/products/clc-backbone
DOI: 10.15468/dl.nyq9se
title: Occurrence Download

description: A dataset containing 6128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus hordeaceus L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 6128 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017454-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yadwrw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ccd1ddc0-6c21-11de-8224-b8a03c50a862",
 "TaxonKey is Eschrichtius robustus (Lilljeborg, 1861)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017455-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp6xtd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allium permixtum Guss., Allium subhirsutum subsp. permixtum (Guss.) K.Richt., Allium roseum subsp. permixtum (Guss.) Nyman)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017456-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14218114
title: Solutions Obtained from the Second Level of the Hierarchical Model Developed in the Thesis "Optimización Aplicada al Transporte de Materias Primas para una Planta de Celulosa en Paraguay: Un Estudio de Caso del Proyecto PARACEL"

description: This dataset includes spreadsheets with results generated from the implementation of a Vehicle Routing Problem (VRP) model applied to the transportation of raw materials to an industrial plant. The spreadsheets contain detailed information on optimal routes, vehicle allocation, and variation analysis of the model using different input scenarios. These data are part of a research study aimed at optimizing the transportation logistics of a company.
DOI: 10.5281/zenodo.14277041
title: Solutions Obtained from the Second Level of the Hierarchical Model Developed in the Thesis "Optimización Aplicada al Transporte de Materias Primas para una Planta de Celulosa en Paraguay: Un Estudio de Caso del Proyecto PARACEL"

description: This dataset includes spreadsheets with results generated from the implementation of a Vehicle Routing Problem (VRP) model applied to the transportation of raw materials to an industrial plant. The spreadsheets contain detailed information on optimal routes, vehicle allocation, and variation analysis of the model using different input scenarios. These data are part of a research study aimed at optimizing the transportation logistics of a company.
DOI: 10.25810/37f9-1j65.79
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - October 2024

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.w3fa74
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheilopogon altipennis (Valenciennes, 1847)",
 "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/0017458-241126133413365/datasets/export for details.
DOI: 10.15468/dl.k82tnq
title: Occurrence Download

description: A dataset containing 7927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erodium botrys (Cav.) Bertol.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 7927 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017459-241126133413365/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/10100806
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.8mc76j
title: Occurrence Download

description: A dataset containing 7916135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Cycadopsida, Cycadopsis Debey, 1848, Pinopsida, Ginkgoopsida)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Continent is South America"
 ]
}

 The dataset includes 7916135 records from 1251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017416-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1078643.10fu
title: SH1078643.10FU

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/sh1078646.10fu
title: SH1078646.10FU

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: 10.15468/dl.9teqjx
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra salamandra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2015-2016"
 ]
}

 The dataset includes 1408 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002458-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18205717
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260110i Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260110i Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15156/bio/sh1078649.10fu
title: SH1078649.10FU

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: 10.5281/zenodo.18205716
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS260110i Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS260110i Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15156/bio/sh1078651.10fu
title: SH1078651.10FU

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/sh1078653.10fu
title: SH1078653.10FU

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/sh1078655.10fu
title: SH1078655.10FU

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/sh1078660.10fu
title: SH1078660.10FU

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/sh1078666.10fu
title: SH1078666.10FU

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/sh1078667.10fu
title: SH1078667.10FU

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/sh1078671.10fu
title: SH1078671.10FU

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.