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

description: A dataset listing the 2832 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Occurrence status unparsable"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 6000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Geometry POLYGON ((0.909919 46.401411, 1.079151 46.467892, 1.248383 46.481188, 1.323597 46.521076, 1.342401 46.627445, 1.568043 46.614149, 1.624454 46.707222, 1.605651 46.826887, 1.455222 46.893368, 1.380008 46.91996, 1.191972 46.893368, 0.966329 46.826887, 0.853508 46.747111, 0.646669 46.68063, 0.49624 46.600853, 0.43983 46.4413, 0.49624 46.334931, 0.703079 46.308338, 0.909919 46.401411))"
 ]
}

 The dataset's 2832 records were derived from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000338-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wgepx
title: Occurrence Download

description: A dataset listing the 2845 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year is greater than or equal to 1980",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Occurrence status unparsable"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 6000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Geometry POLYGON ((5.402008 45.766086, 5.345409 45.815947, 5.329238 45.915668, 5.353495 46.037549, 5.313067 46.104029, 5.313067 46.20375, 5.353495 46.275771, 5.345409 46.403192, 5.36158 46.475213, 5.402008 46.569394, 5.482863 46.624795, 5.515205 46.702355, 5.547547 46.796536, 5.620317 46.840857, 5.676915 46.851937, 5.741599 46.918417, 5.798198 47.012598, 5.773941 47.084619, 5.854797 47.134479, 5.951823 47.18988, 5.959908 47.261901, 5.959908 47.306221, 6.016507 47.356082, 5.967994 47.378242, 5.765856 47.300681, 5.846711 47.267441, 5.717343 47.22312, 5.685001 47.17326, 5.717343 47.134479, 5.563718 47.051379, 5.59606 47.001518, 5.490949 46.957198, 5.393922 46.868557, 5.304982 46.796536, 5.216041 46.752216, 5.167528 46.680195, 5.143272 46.586014, 5.094759 46.497373, 5.062417 46.436433, 5.046246 46.353332, 4.997733 46.292391, 5.03816 46.20929, 4.933048 46.20375, 4.916877 46.15389, 5.013904 46.11511, 5.078588 46.076329, 5.151357 46.043089, 5.159443 45.971068, 5.135186 45.904588, 5.248383 45.865807, 5.304982 45.804867, 5.321153 45.743926, 5.402008 45.766086))"
 ]
}

 The dataset's 2845 records were derived from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000339-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z56ndb
title: Occurrence Download

description: A dataset containing 27570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tanacetum vulgare L."
 ]
}

 The dataset includes 27570 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000353-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60545/pdg0k1
title: Colección especímenes del herbario amazónico del Ecuador (ECUAMZ)

description: El Herbario ECUAMZ aloja, clasifica y conserva colectas botánicas de plantas vasculares y no vasculares según estándares oficiales y reúne especímenes botánicos procedentes de diversos ecosistemas ecuatorianos y especialmente de la región amazónica conservando más de 60 Tipos entre Holotipos e Isotipos de nuevas especies. El símbolo del Herbario ECUAMZ es la flor de Meriania pastazana Wurdack (familia Melastomataceae), una planta de especial belleza que es endémica de esta región del país. El acrónimo ECUAMZ significa Ecuador Amazónico, y fue registrado 2012 en el índice de Herbarios del Mundo, Index Herbariorum. Periódicamente los datos referentes a dichas colecciones se ingresan en la base de datos tropicos.org donde los expertos pueden acceder a la información de campo e imágenes existentes.
DOI: 10.15468/dl.rt2xtu
title: Occurrence Download

description: A dataset containing 38168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Material sample, Material citation, Fossil, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((95 30,120 30,120 42,95 42,95 30))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Passer montanus (Linnaeus, 1758)",
 "Year 1985-2023"
 ]
}

 The dataset includes 38168 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000356-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qkh8j
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremias kopetdaghica Szczerbak, 1972"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000355-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3knyce
title: Colección especímenes del herbario amazónico del Ecuador (ECUAMZ)

description: El Herbario ECUAMZ aloja, clasifica y conserva colectas botánicas de plantas vasculares y no vasculares según estándares oficiales y reúne especímenes botánicos procedentes de diversos ecosistemas ecuatorianos y especialmente de la región amazónica conservando más de 60 Tipos entre Holotipos e Isotipos de nuevas especies. El símbolo del Herbario ECUAMZ es la flor de Meriania pastazana Wurdack (familia Melastomataceae), una planta de especial belleza que es endémica de esta región del país. El acrónimo ECUAMZ significa Ecuador Amazónico, y fue registrado 2012 en el índice de Herbarios del Mundo, Index Herbariorum. Periódicamente los datos referentes a dichas colecciones se ingresan en la base de datos tropicos.org donde los expertos pueden acceder a la información de campo e imágenes existentes.
DOI: 10.15468/dl.wtdp6a
title: Occurrence Download

description: A dataset containing 3407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is one of (Brazil, Ecuador, Guyana, Suriname, Argentina, French Guiana, Colombia, Peru, Bolivia (Plurinational State of))",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3407 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000359-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnk6qn
title: Occurrence Download

description: A dataset containing 11440 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 16S data from: Diversity of Pico- to Mesoplankton along the 2000 km Salinity Gradient of the Baltic Sea (Hu et al. 2016)"
 ]
}

 The dataset includes 11440 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000358-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15083470
title: Calculation of the stopping time of PSBNs
DOI: 10.15468/dl.byyv3v
title: Occurrence Download

description: A dataset listing the 1837 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.69738 4.07203,-70.06491 4.26964,-69.86831 5.66937,-70.59004 5.64287,-71.87768 5.70973,-71.69738 4.07203))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 1837 records were derived from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000348-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y6apn
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpodacus stoliczkae salimalii (R.Meinertzhagen, 1938)"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000360-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fee5m
title: Occurrence Download

description: A dataset listing the 1606 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Serbia",
 "TaxonKey is Plantae",
 "Year 2020-2025"
 ]
}

 The dataset's 1606 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000352-250325103851331/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.28660496
title: <b>Causal Effects of AI-Powered Digital Assistance on Generation Z Online Shopping: A Data Mining Approach</b>

description: This study investigated the effects of AI-powered online shopping service attributes and Generation Z consumer characteristics on the attitudes and behaviors of Generation Z consumers. Using focus groups and inductive analysis, six key attributes of AI-powered digital assistance were identified from the perspective of Generation Z consumers. Rough Set Analysis was applied to establish causal relationships among the conditional attributes of AI-powered digital assistance, consumer characteristics, and Generation Z consumers’ attitudes and behaviors, resulting in ten decision-making rules. The findings extend academic research on the response mechanisms of Generation Z consumers to novel technology services and provide managers strategic insights for improving online services.
DOI: 10.15468/dl.qyc3mq
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Machilus leptophylla Hand.-Mazz."
 ]
}

 The dataset includes 815 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000361-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28659167
title: Weibull parameters representing wind speed distributions for 5 km x 5 km grid cells within the Komsberg Renewable Energy Development Zone (REDZ)

description: This dataset comprises Weibull parameter values for 5 km x 5 km grid cells across the Komsberg Renewable Energy Development Zone, each identified by its longitude and latitude (in a separate Excel file). It served as the foundation for the mini-dissertation titled 'Cluster-weighted models and their relevance in clustering wind resource data for a renewable energy development zone: a South African case study'.
DOI: 10.15468/dl.9nn53v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpodacus stoliczkae stoliczkae"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000362-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rga84n
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectranthus esculentus N.E.Br.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000363-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1159315.10fu
title: SH1159315.10FU

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/sh1159316.10fu
title: SH1159316.10FU

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/sh1159317.10fu
title: SH1159317.10FU

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/sh1159318.10fu
title: SH1159318.10FU

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/sh1159320.10fu
title: SH1159320.10FU

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/sh1159324.10fu
title: SH1159324.10FU

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/sh1159327.10fu
title: SH1159327.10FU

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/sh1159328.10fu
title: SH1159328.10FU

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/sh1159329.10fu
title: SH1159329.10FU

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.