cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-8323-1
title: Public Opinion and the Syrian Crisis in Three Democracies: Surveys of French, British, and American Samples, 2014

description: The research projected was a series of two surveys in the US, UK, and France (an extra post 2014 European election wave was added in the UK) investigating factors affecting public opinion about foreign policy by studying the dynamics of opinion about possible military and humanitarian aid interventions in Syria in three major democracies - the United Kingdom, the United States and France. The Syrian situation has great real-world urgency while presenting a significant opportunity to bolster understanding of how public opinion shapes and constrains the policies that elites can choose. The first surveys have a great focus on the Syrian crisis as well as included additional questions tapping the public's attitudes towards foreign policy more generally. The follow-up surveys focused on foreign policy attitudes and how they related to domestic opinion in the three nations. The French and British waves are panelled and were fielded shortly before and after the 2014 European elections, and there is a total of three, not two British waves. &lt;br&gt; &lt;br&gt; This collection contains a two wave survey of representative samples of the British, French, and American populations. Survey work was conducted by YouGov. The French surveys were fielded shortly before and after the 2014 European Elections. A cross sectional British survey was fielded in March 2014 and then a short panel survey was conducted before and after the spring 2014 European elections. The American cross-sections were fielded in March 2014 and September 2014.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-8324-1
title: Secondary School Survey: Uganda, 2017

description: The &lt;I&gt;Secondary School Survey: Uganda, 2017&lt;/I&gt; study measures the overall school quality of the state and non-state sector in Uganda. Data was collected on four types of schools: government USE schools, government non-USE schools, private USE schools, and private non-USE schools.&lt;br&gt; &lt;br&gt; The survey took place between July and August 2017, using a team of 25 enumerators, with 5 days of training taking place in Kampala. Data was collected using Android tablets and the “Survey to Go” app. This survey involved administering several instruments:&lt;br&gt; &lt;li&gt;Students questionnaire (to 6 students per school);&lt;br&gt; &lt;li&gt;Parent questionnaire (in a sub-sample of 60 schools);&lt;br&gt; &lt;li&gt;Lesson observation and teacher questionnaire (2 lessons per school);&lt;br&gt; &lt;li&gt;School Manager / Head Teacher questionnaire;&lt;br&gt; &lt;li&gt;Focus group discussions with school Boards of Governors and parents.&lt;br&gt; &lt;br&gt; Overall, a representative sample of 200 schools was collected.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-8325-1
title: Public Perceptions of Climate Change across Four European Countries: United Kingdom, France, Germany and Norway, 2016

description: The &lt;I&gt;Public Perceptions of Climate Change across Four European Countries: United Kingdom, France, Germany and Norway, 2016&lt;/i&gt; survey data gives insight into public perceptions of climate change and support for related policies and energy sources across Germany, France, Norway and the UK. All data was collected by the research company Ipsos Mori who was chosen through an EU-wide tendering process.&lt;br&gt; &lt;br&gt; The survey was designed in English by the research team in collaboration with an expert advisory panel. Before piloting the survey questions, the research team and Ipsos Mori went through a thorough translation process to ensure the comparability of the survey data across countries. The English items and answer scales were translated into German, French and Norwegian by two independent native speakers (per language). The translations were then reviewed, changed where necessary and checked again by native speakers. A pilot was run with a longer version of the EPCC survey in May 2016 (see technical report for more details on sampling methods). Based on the pilot data and the feedback from the pilot interviewers, the survey was reviewed again under consideration of to the clarity of the questions, length of the survey and comparability of the data across countries. The data from the pilot can be made available upon request. The main fieldwork of the final survey commenced in June 2016.&lt;br&gt; &lt;br&gt; Further information about this project can be found on its' &lt;a href="http://gtr.rcuk.ac.uk/projects?ref=ES%2FM009505%2F1" target="_blank"&gt;Gateway to Research webpage&lt;/a&gt;.&lt;br&gt; &lt;br&gt;
DOI: 10.25346/s6eecgix/nhxiq5
title: qt_da-1.qm
DOI: 10.5255/ukda-sn-8329-1
title: Value Added Student Outcomes in Uganda, 2013-2014

description: The Ark Education Partnerships Group is conducting primary research to develop a value added measure of school performance in Uganda, based on aggregate student progress made during their time in the school. Having conducted the research, they intend to work with the Ugandan government and other stakeholders to determine whether and how this kind of progress measure could be used to drive improvements in the Ugandan education system, for example by improving school accountability.&lt;br&gt; &lt;br&gt; Value added measures are increasingly being used to evaluate school performance in the Global North, including in England, the US and Australia. Ark’s work is the first attempt to see if this type of school performance measure can be used to drive system improvement in the developing world.&lt;br&gt; &lt;br&gt; Further information on the project may be found on ARK's &lt;a href="http://arkonline.org/uganda-value-add" title="Uganda Value Added"&gt;Uganda Value Added&lt;/a&gt; webpage.&lt;br&gt; &lt;br&gt;
DOI: 10.25346/s6eecgix/71ojtp
title: jpeg62-1.dll
DOI: 10.25346/s6eecgix/i7rroc
title: qwindows-1.dll
DOI: 10.25346/s6eecgix/hyjam1
title: qt_cs-1.qm
DOI: 10.25346/s6eecgix/8mbl34
title: qt_pt_BR-1.qm
DOI: 10.25346/s6eecgix/tmddtg
title: qgif-1.dll
DOI: 10.25346/s6eecgix/qfmafu
title: Qt6Widgets-1.dll
DOI: 10.25346/s6eecgix/tbhy2u
title: qt_uk-1.qm
DOI: 10.25346/s6eecgix/ejwjql
title: qico-1.dll
DOI: 10.34740/kaggle/dsv/13211230
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25346/s6eecgix/c9sdip
title: qt_it-1.qm
DOI: 10.15468/dl.2ajzav
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Squatina aculeata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031276-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.5pfpre
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.25346/s6eecgix/gnzsmw
title: qcertonlybackend-1.dll
DOI: 10.25346/s6eecgix/qv8mkp
title: qwindowsvistastyle-1.dll
DOI: 10.15468/dl.vj9dht
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Japan",
 "GadmGid is JPN.1.36_1",
 "TaxonKey is Anas zonorhyncha Swinhoe, 1866",
 "Year 2023-2025"
 ]
}

 The dataset includes 464 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019566-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191531.10fu
title: SH0191531.10FU

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/sh0191532.10fu
title: SH0191532.10FU

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/sh0191533.10fu
title: SH0191533.10FU

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/sh0191534.10fu
title: SH0191534.10FU

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/sh0191535.10fu
title: SH0191535.10FU

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/sh0191536.10fu
title: SH0191536.10FU

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/sh0191537.10fu
title: SH0191537.10FU

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/sh0191538.10fu
title: SH0191538.10FU

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/sh0191539.10fu
title: SH0191539.10FU

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: 10.22002/489mp-pkw86
title: Dataset: Exploring Proteomic Differences in PBMCs for Sex-Specific Insights into Alzheimer's Disease

description: This table lists proteins identified by the proteomic analysis and their differential expression between experimental groups. For each protein, the table includes gene symbols, log2 fold change values, and p-values used for differential expression analysis.
DOI: 10.15156/bio/sh0191540.10fu
title: SH0191540.10FU

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.sju36j
title: Occurrence Download

description: A dataset containing 12790 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapirus terrestris (Linnaeus, 1758)"
 ]
}

 The dataset includes 12790 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068306-240626123714530/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.26727121
title: Additional file 3 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 3: The selected SNPs of FC GN
DOI: 10.6084/m9.figshare.26727121.v1
title: Additional file 3 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 3: The selected SNPs of FC GN
DOI: 10.6084/m9.figshare.26727124
title: Additional file 4 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 4: The selected SNPs of SC DAN
DOI: 10.6084/m9.figshare.26727124.v1
title: Additional file 4 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 4: The selected SNPs of SC DAN
DOI: 10.6084/m9.figshare.26727127
title: Additional file 5 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 5: The selected SNPs of depressive disorders
DOI: 10.6084/m9.figshare.26727127.v1
title: Additional file 5 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 5: The selected SNPs of depressive disorders
DOI: 10.6084/m9.figshare.26727130
title: Additional file 6 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 6: The selected SNPs of FC DAN
DOI: 10.6084/m9.figshare.26727130.v1
title: Additional file 6 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 6: The selected SNPs of FC DAN
DOI: 10.6084/m9.figshare.26727133
title: Additional file 7 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 7: The selected SNPs of FC DMN
DOI: 10.6084/m9.figshare.26727133.v1
title: Additional file 7 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 7: The selected SNPs of FC DMN
DOI: 10.6084/m9.figshare.26727136
title: Additional file 8 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 8: The selected SNPs of SC VN
DOI: 10.6084/m9.figshare.26727142
title: Additional file 10 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 10: The selected SNPs of FC SMN.
DOI: 10.6084/m9.figshare.26727145.v1
title: Additional file 11 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 11: The selected SNPs of FC VAN
DOI: 10.6084/m9.figshare.26727148
title: Additional file 12 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 12: The selected SNPs of SC GN
DOI: 10.6084/m9.figshare.26727148.v1
title: Additional file 12 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 12: The selected SNPs of SC GN
DOI: 10.6084/m9.figshare.26727151
title: Additional file 13 of Causal relationship between resting-state networks and depression: a bidirectional two-sample mendelian randomization study

description: Supplementary Material 13: The selected SNPs of SC SMN