cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60520/ieda/113767
title: Geochemical dataset of late Oligocene - early Miocene volcanic rocks Argentina

description: This dataset contains the 36 new whole-rock major, minor, and trace element data of volcanic rocks from the Andrean retroarc, Argentina. We have performed whole-rock analyses with the ICP:AES technique, while trace element data was obtained with ICP:MS and ICP-OES techniques. The 36 new samples are from Argentina, in the Andean retroarc.
DOI: 10.3886/e226403
title: NCVAS State Summary Oklahoma FY2023

description: NCVAS State Summary Oklahoma FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br>
DOI: 10.3886/e226403v1
title: NCVAS State Summary Oklahoma FY2023

description: NCVAS State Summary Oklahoma FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br>
DOI: 10.15468/dl.9y3pxc
title: Occurrence Download

description: A dataset containing 1626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripterygion tripteronotum (Risso, 1810)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1626 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010841-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15175457
title: Reinventing a smart, circular and competitive textile industry with advanced myco-fibres

description: this is the dataset belonging to d'Errico A, Schröpfer M, Mondschein A, Safeer AA, Baldus M, Wösten HAB. Cross-linking impacts the physical properties of mycelium leather alternatives by targeting hydroxyl groups of polysaccharides and amino groups of proteins. Heliyon. 2024 Aug 13;10(16):e36263. doi: 10.1016/j.heliyon.2024.e36263.
DOI: 10.5281/zenodo.15175458
title: Reinventing a smart, circular and competitive textile industry with advanced myco-fibres

description: this is the dataset belonging to d'Errico A, Schröpfer M, Mondschein A, Safeer AA, Baldus M, Wösten HAB. Cross-linking impacts the physical properties of mycelium leather alternatives by targeting hydroxyl groups of polysaccharides and amino groups of proteins. Heliyon. 2024 Aug 13;10(16):e36263. doi: 10.1016/j.heliyon.2024.e36263.
DOI: 10.5281/zenodo.15175483
title: Research Data Management Maturity Data– University of Limerick

description: This is the research data collected using the Research Data Management Maturity Instrument at the University of Limerick. 

The iFrame Project researches and reports upon the support given to research data management in Irish higher education organisations and research performing organisations and develops a national framework for research data management in Ireland. The iFrame Project is funded through Ireland’s National Open Research Forum (NORF) under the 2023 Open Research Fund. 

Data was collected in January 2025.
DOI: 10.5281/zenodo.15175484
title: Research Data Management Maturity Data– University of Limerick

description: This is the research data collected using the Research Data Management Maturity Instrument at the University of Limerick. 

The iFrame Project researches and reports upon the support given to research data management in Irish higher education organisations and research performing organisations and develops a national framework for research data management in Ireland. The iFrame Project is funded through Ireland’s National Open Research Forum (NORF) under the 2023 Open Research Fund. 

Data was collected in January 2025.
DOI: 10.15468/dl.w3hz9e
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oeneis glacialis",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 756 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073711-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3deu2d
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073713-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/clxysl
title: original_model

description: The original model in the paper
DOI: 10.15468/dl.9adawq
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073715-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18148494
title: 132-the=perfect-day covers A
DOI: 10.5281/zenodo.18148495
title: 132-the=perfect-day covers A
DOI: 10.15468/dl.fzm6kg
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073716-251120083545085/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/14382072
title: Industrial Food Intelligence: Bangladesh Sample
DOI: 10.15468/dl.qgr5cy
title: Occurrence Download

description: A dataset containing 9339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Spodoptera frugiperda",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 9339 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk4yvq
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfez2u
title: Occurrence Download

description: A dataset containing 3620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.5 47.562,-88.157 47.562,-88.157 48.46,-89.5 48.46,-89.5 47.562))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 3620 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073719-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx6n8m
title: Occurrence Download

description: A dataset containing 144640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mercurialis annua)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 144640 records from 1167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4nc5k
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajse7p
title: Occurrence Download

description: A dataset containing 179958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum catharticum)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179958 records from 1072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073714-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr04135.v1
title: Global Views 2004: South Korean Public Opinion and Foreign Policy
title: Version 1

description: The 2004 Global Views Study is the first time the Chicago
 Council on Foreign Relations (CCFR) has partnered with the East Asia
 Institute (EAI) to study the relationship between the United States
 public's and the Korean public's views on foreign policy. This
 comprehensive study is the joint effort of CCFR and EAI to highlight
 perceptions of security, use of force, economics, international rules,
 and other international issues. The study seeks to contribute to the
 current debate on the United States-South Korea alliance by providing
 new data and analyses. In an attempt to capture and compare American
 and South Korean public opinion in the new international setting after
 the events of September 11 and the Iraq War, the surveys posed many of
 the same questions in both countries on a broad range of international
 and bilateral issues. In particular, this study covers global
 perspectives and United States-South Korea security relations. Regarding
 global perspectives, respondents were asked to give their opinions on
 their country taking an active role in the world, threat perceptions,
 the use of force, international institutions, globalization and trade,
 and other countries. On the topic of United States-South Korea security
 relations, respondents were asked to provide their opinions regarding
 bilateral relations and the strategic alliance with the United States,
 United States military presence in South Korea, attitudes toward North
 Korea, the North Korean nuclear crisis, and reunification with North
 Korea. Background information on respondents includes age, gender,
occupation, education, income, and ideological inclination.
description: A multi-stage quota sampling strategy was employed. In the
 first stage, South Korea was divided into 15 regions and a sample size
 was assigned to each region based on population size. In the next stage,
 respondents were chosen to correspond with the known age and gender
distribution within each region.
description: Datasets: 
DS1: Global Views 2004: South Korean Public Opinion and Foreign Policy
description: Adult population of South Korea.
description: The codebook is provided by ICPSR as a Portable Document
 Format (PDF) file. The PDF file format was developed by Adobe Systems
 Incorporated and can be accessed using PDF reader software, such as the
 Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat
Reader is provided on the ICPSR Web site.
DOI: 10.15156/bio/sh1046282.10fu
title: SH1046282.10FU

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/sh1046283.10fu
title: SH1046283.10FU

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/sh1046285.10fu
title: SH1046285.10FU

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/sh1046286.10fu
title: SH1046286.10FU

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/sh1046288.10fu
title: SH1046288.10FU

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/sh1046289.10fu
title: SH1046289.10FU

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/sh1046290.10fu
title: SH1046290.10FU

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/sh1046291.10fu
title: SH1046291.10FU

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/sh1046293.10fu
title: SH1046293.10FU

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.