cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1198919.10fu
title: SH1198919.10FU

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/sh1198925.10fu
title: SH1198925.10FU

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/sh1198928.10fu
title: SH1198928.10FU

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/sh1198929.10fu
title: SH1198929.10FU

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/sh1198933.10fu
title: SH1198933.10FU

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/sh1198934.10fu
title: SH1198934.10FU

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.15875442
title: Supplementary raw data
DOI: 10.5281/zenodo.15875443
title: Supplementary raw data
DOI: 10.15156/bio/sh1198935.10fu
title: SH1198935.10FU

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/sh1198936.10fu
title: SH1198936.10FU

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/sh1198937.10fu
title: SH1198937.10FU

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.jdj454
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geopelia striata",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062450-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqsdzv
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.97551 22.92284,105.97551 22.92284,105.97551 78.07716,-31.97551 78.07716,-31.97551 22.92284))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos arctos"
 ]
}

 The dataset includes 755 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062449-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sknca9
title: Occurrence Download

description: A dataset containing 6622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythranthe cardinalis"
 ]
}

 The dataset includes 6622 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062451-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dverj
title: Occurrence Download

description: A dataset containing 5395934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((26.7542939189847 1.2186193716968,36.9991642472184 13.6345880476356,41.544901412726 10.038706409249,37.5419388341447 2.16847489881781,35.84576825 -7.80500813595271,36.2528491901947 -16.0144737632128,34.2174444892211 -16.5572483501391,27.5006089760084 -8.95840413317107,26.7542939189847 1.2186193716968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5395934 records from 1029 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006354-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p27b7v
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-78.4794 4.33315,-76.34667 4.33315,-76.34667 8.66549,-78.4794 8.66549,-78.4794 4.33315))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spondias mombin Jacq."
 ]
}

 The dataset includes 57 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003507-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3xbz7
title: Occurrence Download

description: A dataset containing 789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hypostomus plecostomus (Linnaeus, 1758)"
 ]
}

 The dataset includes 789 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161820-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6nhar
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachydactylus tsodiloensis Haacke, 1966"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006397-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.633evj
title: Occurrence Download

description: A dataset containing 33240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sassafras J.Presl"
 ]
}

 The dataset includes 33240 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033730-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu8kv5
title: Occurrence Download

description: A dataset containing 9135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis mollis (Jacq.) Asch.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 9135 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161846-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3622q
title: Occurrence Download

description: A dataset containing 17026 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus variabilis Wiegmann, 1834"
 ]
}

 The dataset includes 17026 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123454-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8cn9m
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anigozanthos manglesii D.Don",
 "HasCoordinate is true"
 ]
}

 The dataset includes 722 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071922-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxjetv
title: Occurrence Download

description: A dataset containing 1135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rodolia cardinalis (Mulsant, 1850)"
 ]
}

 The dataset includes 1135 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161824-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15093990
title: Dataset for Publication: Investigation of Startup Characteristics of LSMs Considering Changing Grid Conditions using a FE-aided Simulation Strategy.

description: This dataset corresponds to the research paper titled "Investigation of Startup Characteristics of LSMs Considering Changing Grid Conditions using a FE-aided Simulation Strategy". It contains all relevant data and computational resources used in the study.

By running the provided Python script, users can generate all the images and graphical representations featured in the publication.
DOI: 10.5281/zenodo.15093991
title: Dataset for Publication: Investigation of Startup Characteristics of LSMs Considering Changing Grid Conditions using a FE-aided Simulation Strategy.

description: This dataset corresponds to the research paper titled "Investigation of Startup Characteristics of LSMs Considering Changing Grid Conditions using a FE-aided Simulation Strategy". It contains all relevant data and computational resources used in the study.

By running the provided Python script, users can generate all the images and graphical representations featured in the publication.
DOI: 10.6084/m9.figshare.30479000
title: <b>Table S1</b>. Ingredients and chemical composition of TMR

description: <b>Table S1</b>. Ingredients and chemical composition of TMR
DOI: 10.6084/m9.figshare.30479000.v1
title: <b>Table S1</b>. Ingredients and chemical composition of TMR

description: <b>Table S1</b>. Ingredients and chemical composition of TMR
DOI: 10.15468/dl.qghhsp
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Hymenoptera",
 "Country is Andorra"
 ]
}

 The dataset includes 201 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006381-251025141854904/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.30478940
title: Rust Commits

description: Commits
DOI: 10.6084/m9.figshare.30478940.v1
title: Rust Commits

description: Commits
DOI: 10.7910/dvn/wc1t6q
title: Between the Ladder and the Mirror: Subjective Class Consciousness and Voting under Inequality in South Korea

description: Why do both economically advantaged and disadvantaged voters sometimes converge in their support for conservative parties? This study examines how subjective class consciousness mediates the relationship between economic inequality and political behavior in South Korea. Moving beyond conventional class-voting models based on income or occupation, it conceptualizes class as a relational and perceptual construct formed through social comparison. This study argues that rising inequality weakens identification with the subjective middle class, which is generally associated with progressive orientations, while reinforcing symbolic divisions between those who perceive themselves as upper or lower class. Using nationally representative survey data and district-level electoral returns from 2012 to 2022, the analysis finds that both subjective class identification and local inequality significantly predict conservative support. At the individual level, voters identifying as upper or lower class are more likely to support conservative parties than those identifying as middle class. At the district level, higher inequality corresponds with greater conservative vote shares. These findings suggest that inequality influences political behavior not only through material conditions but also through perceptions of social hierarchy.
DOI: 10.15468/dl.dzqnmd
title: Occurrence Download

description: A dataset containing 280017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, Asia)",
 "TaxonKey is Cornus"
 ]
}

 The dataset includes 280017 records from 688 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006351-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j54c2k
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nylanderia fulva"
 ]
}

 The dataset includes 796 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006382-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcztne
title: Occurrence Download

description: A dataset containing 142884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arbutus unedo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142884 records from 608 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006346-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17474158
title: Global Warming Datasets 1-2024

description: This paper deals with global warming datasets from 1-2024. Paleoclimate records provided the data for the period 1-1850. They helped to estimate the global warming over the last 2,000 years. For the period 1850-2024, the data consist of records that have been directly measured. The great thing about this work is that geographers were able to go back to 1750 for the global warming over land and ocean datasets. The data that was used varied according to several baselines and this study converted them to a common “preindustrial” baseline of 1850-1900. The dataset of global warming from 1-2024 period based on this study is uploaded on nowagreen.com.
DOI: 10.5281/zenodo.17474157
title: Global Warming Datasets 1-2024

description: This paper deals with global warming datasets from 1-2024. Paleoclimate records provided the data for the period 1-1850. They helped to estimate the global warming over the last 2,000 years. For the period 1850-2024, the data consist of records that have been directly measured. The great thing about this work is that geographers were able to go back to 1750 for the global warming over land and ocean datasets. The data that was used varied according to several baselines and this study converted them to a common “preindustrial” baseline of 1850-1900. The dataset of global warming from 1-2024 period based on this study is uploaded on nowagreen.com.
DOI: 10.6084/m9.figshare.30478943
title: Flourishing quantitative datasets

description: This dataset is on flourishing of undergraduate students amid crises of war and COVID-19.