cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kwy869
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaris arundinacea",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027901-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv46un
title: Occurrence Download

description: A dataset containing 720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassula multicava",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 720 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027902-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/wvsl83
title: Data for osmolality and water harshness

description: This data shows the relationship between osmolality and season, social category, number of food plants and temperature in striped mice from South Africa
DOI: 10.5281/zenodo.16314766
title: Export Competitiveness of Indonesia's Strategic Agricultural Commodities under Global Sustainability  Challenges: A Multi-Index Analysis (2015–2023)
DOI: 10.5281/zenodo.16314767
title: Export Competitiveness of Indonesia's Strategic Agricultural Commodities under Global Sustainability  Challenges: A Multi-Index Analysis (2015–2023)
DOI: 10.15468/dl.ytm583
title: Occurrence Download

description: A dataset containing 144178290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 144178290 records from 9144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027854-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r9gbc
title: Occurrence Download

description: A dataset containing 97446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capra pyrenaica"
 ]
}

 The dataset includes 97446 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008508-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qcssg
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magicicada",
 "Year is 2023"
 ]
}

 The dataset includes 294 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008532-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8427528
title: Data accompanying "Propagation properties and stability of dark solitons in weakly interacting Bose-Bose droplets"

description: Reproducibility package for "Propagation properties and stability of dark solitons in weakly interacting Bose-Bose droplets"
description: Data generated within the project 'Novel quantum phases in cold gases' (No. 2019/34/E/ST2/00289), funded by the National Science Centre, Poland.
DOI: 10.5281/zenodo.8427527
title: Data accompanying "Propagation properties and stability of dark solitons in weakly interacting Bose-Bose droplets"

description: Reproducibility package for "Propagation properties and stability of dark solitons in weakly interacting Bose-Bose droplets"
description: Data generated within the project 'Novel quantum phases in cold gases' (No. 2019/34/E/ST2/00289), funded by the National Science Centre, Poland.
DOI: 10.15468/dl.k7gd65
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coregonus lavaretus",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Iceland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Ukraine)",
 "HasCoordinate is true",
 "MediaType is Image"
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002500-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.486f5s
title: Occurrence Download

description: A dataset containing 106762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphausia superba"
 ]
}

 The dataset includes 106762 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002460-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c584pr
title: Occurrence Download

description: A dataset containing 7960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida contorta"
 ]
}

 The dataset includes 7960 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002501-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wc2c6
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castanopsis argentea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 98 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002502-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18544808
title: Transformed HTSP Dataset from the TSBLIB Library

description: The authors explain how the dataset was created in their article. (It can be used for problems such as CTSP, CTSP-PO, and GTSP.)
DOI: 10.5281/zenodo.18544809
title: Transformed HTSP Dataset from the TSBLIB Library

description: The authors explain how the dataset was created in their article. (It can be used for problems such as CTSP, CTSP-PO, and GTSP.)
DOI: 10.5281/zenodo.18543442
title: SuperDARN data in netCDF format (2021-Aug)

description: 2021-Aug SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7613492
title: SuperDARN data in netCDF format (2021-Aug)

description: 2021-Aug SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.4121/036a49b4-94f4-4c72-93bd-a874a7172cd6
title: Dataset concerning: Training Child Helpline Counsellors with Value-Integrated Chat Simulations

description: This dataset was collected as part of an evaluation study titled "Training Child Helpline Counsellors with Value-Integrated Chat Simulations." The design of this evaluation study was pre-registered under the Open Science Framework (OSF) registries and is publicly available at https://osf.io/m7x6h . The dataset contains participants’ survey responses for all evaluated measures, including recognised child values, situational awareness (situation understanding), perceived opportunity to align with the child, perceived usefulness of the training tool, agent believability, and overall experience. In addition, it includes participants’ demographic information and their self-rated personal values. The R Markdown script includes the statistical analyses reported in the associated paper. Participants were recruited via the online platform Prolific, and data were collected through an online survey hosted on Qualtrics.In V2, we added a reliability check assessing the internal consistency of the questionnaires.
DOI: 10.4121/036a49b4-94f4-4c72-93bd-a874a7172cd6.v1
title: Dataset concerning: Training Child Helpline Counsellors with Value-Integrated Chat Simulations

description: This dataset was collected as part of an evaluation study titled "Training Child Helpline Counsellors with Value-Integrated Chat Simulations." The design of this evaluation study was pre-registered under the Open Science Framework (OSF) registries and is publicly available at https://osf.io/m7x6h . The dataset contains participants’ survey responses for all evaluated measures, including recognised child values, situational awareness (situation understanding), perceived opportunity to align with the child, perceived usefulness of the training tool, agent believability, and overall experience. In addition, it includes participants’ demographic information and their self-rated personal values. The R Markdown script includes the statistical analyses reported in the associated paper. Participants were recruited via the online platform Prolific, and data were collected through an online survey hosted on Qualtrics.In V2, we added a reliability check assessing the internal consistency of the questionnaires.
DOI: 10.15468/dl.rhj3be
title: Occurrence Download

description: A dataset containing 1128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microbryum floerkeanum"
 ]
}

 The dataset includes 1128 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002503-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18339305
title: Social learning and age effects in urban Kelp Gulls (Larus dominicanus)

description: Dataset associated with the study "Social learning and age effects in urban kelp gulls (Larus dominicanus)"
DOI: 10.5281/zenodo.18339306
title: Social learning and age effects in urban Kelp Gulls (Larus dominicanus)

description: Dataset associated with the study "Social learning and age effects in urban kelp gulls (Larus dominicanus)"
DOI: 10.15468/dl.e8xvqf
title: Occurrence Download

description: A dataset containing 1460163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus rotundifolia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1460163 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002465-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu27jn
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida desmantha"
 ]
}

 The dataset includes 263 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002505-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uehzmf
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalrympelea sphaerocarpa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 309 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002504-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.10506.94407
title: SPG Paper_NIDMJOURNAL_JanJun2025.pdf
DOI: 10.15468/dl.9jvmmr
title: Occurrence Download

description: A dataset containing 1460163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus rotundifolia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1460163 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002467-260208012135463/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.28280915
title: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation</b>

description: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation: A</b><b>n exploratory</b><b> </b><b>s</b><b>tudy</b><b> u</b><b>sing</b><b> </b><b>cluster analysis and epistemic network analysis</b>
DOI: 10.6084/m9.figshare.28280915.v2
title: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation</b>

description: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation: A</b><b>n exploratory</b><b> </b><b>s</b><b>tudy</b><b> u</b><b>sing</b><b> </b><b>cluster analysis and epistemic network analysis</b>
DOI: 10.6084/m9.figshare.28280915.v1
title: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation</b>

description: <b>Investigating</b><b> </b><b>s</b><b>tudent </b><b>t</b><b>ranslators</b><b>’</b><b> </b><b>h</b><b>uman-GenAI </b><b>i</b><b>nteraction </b><b>p</b><b>atterns in </b><b>t</b><b>ranslation: A</b><b>n exploratory</b><b> </b><b>s</b><b>tudy</b><b> u</b><b>sing</b><b> </b><b>cluster analysis and epistemic network analysis</b>
DOI: 10.15156/bio/sh0166638.10fu
title: SH0166638.10FU

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/sh0166639.10fu
title: SH0166639.10FU

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/sh0166640.10fu
title: SH0166640.10FU

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/sh0166641.10fu
title: SH0166641.10FU

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/sh0166642.10fu
title: SH0166642.10FU

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: 10.17632/3mzwrjjjs6.2
title: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam

description: Data on Professional Learning Communities, Experiential Learning, and Teacher Competence: A Case Study in Vietnam