cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jz3mk
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014649-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dee723
title: Occurrence Download

description: A dataset containing 47496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Threskiornis aethiopicus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47496 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ws8ze
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 341 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014650-250920141307145/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.30205849
title: <b>Genetic Diversity in an Endangered Amphibian</b>

description: Data Package DescriptionThis dataset contains SNP genotypes and associated specimen metadata for <i>Litoria littlejohni</i>, an endangered Australian tree frog.<b>SNP dataset</b>: SNP markers with locus identifiers, flanking sequences, substitution type, and quality metrics (call rate, genotype frequencies, polymorphism information content, read counts). Per-sample genotypes are provided as 0 (homozygous reference), 1 (heterozygous), 2 (homozygous alternate), or “–” (missing).<b>Sample metadata</b>: Descriptive information for each genotyped specimen, including sample ID, population, pond, location, age class, habitat type, year of collection, geographic coordinates, plate position, species name, and tissue type.Together, these files enable replication of analyses of genetic diversity, inbreeding, and population structure in <i>Litoria littlejohni</i>.Extent or QuantityThe dataset comprises of <b>two CSV files</b>:<b>SNP dataset</b> – a tabular file containing several thousand biallelic SNP loci with per-sample genotypes and marker quality metrics.<b>Sample metadata</b> – a tabular file containing specimen information (ID, population, site, coordinates, age class, tissue type, and collection details).Statement of Rights in DataThe dataset was generated by the authors and is made publicly available under the [<b>Creative Commons Attribution 4.0 International (CC BY 4.0)</b>] licence. Users are free to copy, distribute, and adapt the data, including for commercial purposes, provided that appropriate attribution is given to the creators.
DOI: 10.6084/m9.figshare.30205849.v1
title: <b>Genetic Diversity in an Endangered Amphibian</b>

description: Data Package DescriptionThis dataset contains SNP genotypes and associated specimen metadata for <i>Litoria littlejohni</i>, an endangered Australian tree frog.<b>SNP dataset</b>: SNP markers with locus identifiers, flanking sequences, substitution type, and quality metrics (call rate, genotype frequencies, polymorphism information content, read counts). Per-sample genotypes are provided as 0 (homozygous reference), 1 (heterozygous), 2 (homozygous alternate), or “–” (missing).<b>Sample metadata</b>: Descriptive information for each genotyped specimen, including sample ID, population, pond, location, age class, habitat type, year of collection, geographic coordinates, plate position, species name, and tissue type.Together, these files enable replication of analyses of genetic diversity, inbreeding, and population structure in <i>Litoria littlejohni</i>.Extent or QuantityThe dataset comprises of <b>two CSV files</b>:<b>SNP dataset</b> – a tabular file containing several thousand biallelic SNP loci with per-sample genotypes and marker quality metrics.<b>Sample metadata</b> – a tabular file containing specimen information (ID, population, site, coordinates, age class, tissue type, and collection details).Statement of Rights in DataThe dataset was generated by the authors and is made publicly available under the [<b>Creative Commons Attribution 4.0 International (CC BY 4.0)</b>] licence. Users are free to copy, distribute, and adapt the data, including for commercial purposes, provided that appropriate attribution is given to the creators.
DOI: 10.7910/dvn/xtmlk0
title: 2024 South Korean Product Attractiveness

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.
[Study Contents]The data provided includes the following information:
Respondent Characteristics (gender/age/income/Family member composition, etc.)
Vehicle Characteristics (vehicle type/class/fuel type, etc.)
Product Attractiveness(TGR)
Product Attractiveness by Area(TGR)
1) Exterior design
2) Interior design
3) Driving performance
4) Climate control system
5) Safety
6) Interior space size/Storage
7) Seats
8) Value for cos
t9) Energy efficiency/Convenience
10) AV system
11) Advanced features/devices
DOI: 10.7910/dvn/nbputj
title: 2024 South Korean Vehicle Ownership

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.

[Survey Contents] :The data provided through this survey includes the following: 
Respondent Characteristics (Gender, age, income, household composition, etc.)
Vehicle Characteristics (Vehicle type, class, fuel type, etc.)
Fuel Efficiency (Official vs. Actual, Satisfaction)
Navigation Usage Method
Dash-cam Usage Method
DOI: 10.7910/dvn/oh8pkw
title: 2024 South Korean Overall Customer Satisfaction

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.

[Study Contents]The data provided includes the following information:
Respondent Characteristics (gender/age/income/Family member composition, etc.)
Vehicle Characteristics (vehicle type/class/fuel type, etc.)
Car purchase intender within 2 years 
Characteristics of Intended Purchase Car (vehicle type/class/fuel type, etc.)
DOI: 10.15468/dl.tuzgtf
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 254 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014653-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne7tug
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014652-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jk2pd
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aronia melanocarpa",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014654-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tz9mui
title: 2024 South Korean Lifestyle

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.

[Survey Contents] :The data provided through this survey includes the following: 
Respondent Characteristics (Gender, age, income, household composition, etc.)
Vehicle Characteristics (Vehicle type, class, fuel type, etc.)
Consumption lifestyle
Aspects to consider when purchasing a car in the future
DOI: 10.15468/dl.kfvnyy
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Threskiornis melanocephalus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 129 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014655-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbfx96
title: Occurrence Download

description: A dataset containing 6868574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1980-2025"
 ]
}

 The dataset includes 6868574 records from 2726 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014563-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0176930.10fu
title: SH0176930.10FU

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/sh0176931.10fu
title: SH0176931.10FU

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/sh0176932.10fu
title: SH0176932.10FU

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/sh0176933.10fu
title: SH0176933.10FU

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/sh0176934.10fu
title: SH0176934.10FU

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/sh0176935.10fu
title: SH0176935.10FU

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/sh0176936.10fu
title: SH0176936.10FU

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/sh0176937.10fu
title: SH0176937.10FU

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/sh0176938.10fu
title: SH0176938.10FU

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/sh0176939.10fu
title: SH0176939.10FU

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.