cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e130362v2-192849
title: Data and Code for: Long-term effects of the Targeting the Ultra Poor Program

description: This deposit provides replication data and code for the paper "Long-term Effects of the Targeting the Ultra Poor Program". It includes data from all five survey waves (baseline, 18 months, 3 years, 7 years, and 10 years) that track outcomes among treated and control households in a randomized controlled trial of the TUP program in West Bengal, India.
DOI: 10.6084/m9.figshare.30846773
title: Dataset Supporting the Study on Youth-Integrated Community Health Volunteers (2000–2024)

description: This dataset contains the bibliographic records used in the study “Empowering Youth for Equitable Health Futures: A Global Bibliometric Analysis of Community Health Volunteer Research (2000–2024)” and is provided to enhance transparency, reproducibility, and future research on youth-integrated community health volunteer (i-CHV) initiatives. It includes PubMed records from 2000–2024 related to training, motivation, health literacy, and youth participation in community health volunteer programs. All records were systematically extracted, cleaned, and screened using predefined inclusion criteria and prepared for bibliometric analysis using standard bibliometric tools.Search Query:(("youth community health volunteer" OR "i-CHV" OR "peer health volunteer" OR "youth health worker" OR "adolescent health volunteer" OR "student health volunteer" OR "youth-led health initiative" OR "lay health worker" OR "community health worker" OR "volunteer health worker" OR "peer educator" OR "public health volunteer" OR "Community Health Workers"[Mesh])AND("training" OR "capacity building" OR "education intervention" OR "digital training" OR "online training" OR "e-learning" OR "virtual training" OR "technology-based training" OR "certification" OR "workshop" OR "mentorship program" OR "volunteer training" OR "blended learning" OR "peer training" OR "MOOC" OR "professional development" OR "Education, Continuing"[Mesh] OR "Inservice Training"[Mesh])AND("motivation" OR "self-motivation" OR "empowerment" OR "youth engagement" OR "self-efficacy" OR "leadership" OR "volunteer retention" OR "personal growth" OR "behavioral change" OR "career motivation" OR "volunteer satisfaction" OR "mental well-being" OR "service learning" OR "psychological well-being" OR "volunteer identity" OR "Motivation"[Mesh] OR "Self Efficacy"[Mesh] OR "Leadership"[Mesh] OR "Empowerment"[Mesh])AND("health literacy" OR "health education" OR "public health competency" OR "disease awareness" OR "preventive health education" OR "health promotion" OR "youth health awareness" OR "community-based health promotion" OR "peer health education" OR "public health campaign" OR "Health Literacy"[Mesh] OR "Health Education"[Mesh] OR "Health Promotion"[Mesh]))AND ("2000/01/01"[Date - Publication]: "2024/12/31"[Date - Publication])<br><br>
DOI: 10.6084/m9.figshare.30846773.v1
title: Dataset Supporting the Study on Youth-Integrated Community Health Volunteers (2000–2024)

description: This dataset contains the bibliographic records used in the study “Empowering Youth for Equitable Health Futures: A Global Bibliometric Analysis of Community Health Volunteer Research (2000–2024)” and is provided to enhance transparency, reproducibility, and future research on youth-integrated community health volunteer (i-CHV) initiatives. It includes PubMed records from 2000–2024 related to training, motivation, health literacy, and youth participation in community health volunteer programs. All records were systematically extracted, cleaned, and screened using predefined inclusion criteria and prepared for bibliometric analysis using standard bibliometric tools.Search Query:(("youth community health volunteer" OR "i-CHV" OR "peer health volunteer" OR "youth health worker" OR "adolescent health volunteer" OR "student health volunteer" OR "youth-led health initiative" OR "lay health worker" OR "community health worker" OR "volunteer health worker" OR "peer educator" OR "public health volunteer" OR "Community Health Workers"[Mesh])AND("training" OR "capacity building" OR "education intervention" OR "digital training" OR "online training" OR "e-learning" OR "virtual training" OR "technology-based training" OR "certification" OR "workshop" OR "mentorship program" OR "volunteer training" OR "blended learning" OR "peer training" OR "MOOC" OR "professional development" OR "Education, Continuing"[Mesh] OR "Inservice Training"[Mesh])AND("motivation" OR "self-motivation" OR "empowerment" OR "youth engagement" OR "self-efficacy" OR "leadership" OR "volunteer retention" OR "personal growth" OR "behavioral change" OR "career motivation" OR "volunteer satisfaction" OR "mental well-being" OR "service learning" OR "psychological well-being" OR "volunteer identity" OR "Motivation"[Mesh] OR "Self Efficacy"[Mesh] OR "Leadership"[Mesh] OR "Empowerment"[Mesh])AND("health literacy" OR "health education" OR "public health competency" OR "disease awareness" OR "preventive health education" OR "health promotion" OR "youth health awareness" OR "community-based health promotion" OR "peer health education" OR "public health campaign" OR "Health Literacy"[Mesh] OR "Health Education"[Mesh] OR "Health Promotion"[Mesh]))AND ("2000/01/01"[Date - Publication]: "2024/12/31"[Date - Publication])<br><br>
DOI: 10.48804/ltjxzl
title: Replication Data for: Tight blood-glucose control without early parenteral nutrition in the ICU.

description: This dataset contains the primary study results of the TGC-Fast RCT (Gunst J, Debaveye Y, Güiza F, Dubois J, De Bruyn A, Dauwe D, De Troy E, Casaer MP, De Vlieger G, Haghedooren R, Jacobs B, Meyfroidt G, Ingels C, Muller J, Vlasselaers D, Desmet L, Mebis L, Wouters PJ, Stessel B, Geebelen L, Vandenbrande J, Brands M, Gruyters I, Geerts E, De Pauw I, Vermassen J, Peperstraete H, Hoste E, De Waele JJ, Herck I, Depuydt P, Wilmer A, Hermans G, Benoit DD, Van den Berghe G. NEJM 2023). The purpose of the dataset is to analyze the impact of tight versus liberal blood glucose control in patients who do not receive early parenteral nutrition. The dataset contains the baseline characteristics of the 9230 TGC-Fast patients as well as the primary study results (including the length of time that ICU care was needed as the primary endpoint and 90-day mortality as the safety endpoint). The length of time that ICU care was needed was calculated on the basis of time to discharge alive from the ICU, or the time until readiness for discharge from the ICU, with readiness for discharge defined as the time at which patients were no longer at risk or in need of vital-organ support or the time they were actually discharged, whichever came first. Long-term follow-up is ongoing.
DOI: 10.15468/dl.3hcamq
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anguilla bengalensis, Anguilla bengalensis bengalensis, Anguilla bengalensis labiata)"
 ]
}

 The dataset includes 48 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044029-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jyx9n
title: Occurrence Download

description: A dataset containing 2674302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-75.66009 45.50555, -75.67254 45.50555, -75.70989 45.50555, -75.70207 45.4963, -75.73942 45.4963, -75.74724 45.50555, -75.75969 45.50555, -75.75187 45.4963, -75.76432 45.4963, -75.7565 45.48706, -75.76895 45.48706, -75.76113 45.47781, -75.77358 45.47781, -75.78603 45.47781, -75.7704 45.45932, -75.78285 45.45932, -75.77504 45.45007, -75.78748 45.45007, -75.79993 45.45007, -75.79212 45.44083, -75.80456 45.44083, -75.817 45.44083, -75.8092 45.43158, -75.79676 45.43158, -75.78896 45.42234, -75.77652 45.42234, -75.76094 45.40385, -75.77337 45.40385, -75.76558 45.39461, -75.77802 45.39461, -75.77023 45.38537, -75.78267 45.38537, -75.80754 45.38537, -75.79975 45.37613, -75.81218 45.37613, -75.8044 45.36689, -75.81683 45.36689, -75.80905 45.35765, -75.82148 45.35765, -75.84634 45.35765, -75.83078 45.33917, -75.81836 45.33917, -75.81059 45.32994, -75.79816 45.32994, -75.7904 45.3207, -75.76555 45.3207, -75.77331 45.32994, -75.72361 45.32994, -75.71585 45.3207, -75.70342 45.3207, -75.71118 45.32994, -75.69875 45.32994, -75.70651 45.33917, -75.63195 45.33917, -75.61952 45.33917, -75.62728 45.34841, -75.61485 45.34841, -75.62261 45.35765, -75.61018 45.35765, -75.61793 45.36689, -75.6055 45.36689, -75.59307 45.36689, -75.60083 45.37613, -75.5884 45.37613, -75.60393 45.39461, -75.5915 45.39461, -75.60704 45.4131, -75.5946 45.4131, -75.60238 45.42234, -75.58994 45.42234, -75.59772 45.43158, -75.58528 45.43158, -75.59306 45.44083, -75.58062 45.44083, -75.5884 45.45007, -75.57596 45.45007, -75.59933 45.47781, -75.58688 45.47781, -75.59468 45.48706, -75.58223 45.48706, -75.56978 45.48706, -75.57758 45.4963, -75.56513 45.4963, -75.57293 45.50555, -75.56048 45.50555, -75.56829 45.5148, -75.59319 45.5148, -75.58538 45.50555, -75.62274 45.50555, -75.63054 45.5148, -75.6679 45.5148, -75.66009 45.50555))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2674302 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043980-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mezmt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syllides liouvillei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044028-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/kkzpgm
title: Replication Data for: Issue salience, position and framing of EU enlargement in European political party manifestos for the 2019 and 2024 European elections

description: 17 European political party manifestos for the 2019 and 2024 European Parliament Elections unitized into quasi-sentences based on the methodological approach of the (Euro-)manifesto project (https://manifesto project.wzb.eu/information/documents/handbooks). Analysis of issue salience, position, and framing of EU enlargement per European political party. Includes all Europarties that are recognized by the Authority for European Political Parties and European Political Foundations (APPF). This data is part of a work package within PhD project Lien Jansen: 'Changing MEP Behaviour Towards EU enlargement with the Western Balkans: the Implications of the Russian Invasion in Ukraine (2019-2024)' and related to the following publication: Jansen, L., Hecke, S. V., & D’Haeninck, E. (2025). Evident but implicit? Europarties’ role in geo-politicising EU enlargement and the 2022 Russian invasion in Ukraine. European Politics and Society, 1–17. https://doi.org/10.1080/23745118.2025.2595162
DOI: 10.15468/dl.76frqa
title: Occurrence Download

description: A dataset containing 3256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenostegia tridentata",
 "Continent is Africa"
 ]
}

 The dataset includes 3256 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044030-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgrfcs
title: Occurrence Download

description: A dataset containing 6150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Aegypius monachus"
 ]
}

 The dataset includes 6150 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044031-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnqhc8
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.46309 29.21196,121.10536 29.21196,121.10536 30.76973,119.46309 30.76973,119.46309 29.21196))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sapindaceae"
 ]
}

 The dataset includes 724 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044032-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wgud2
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.15819 48.90685,2.24493 48.90685,2.24493 48.94368,2.15819 48.94368,2.15819 48.90685))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset's 6 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13912906
title: Stress induces oxytocin–Gαi-dependent remodeling of astrocytes to shape neuronal response in the amygdala
DOI: 10.5281/zenodo.13912907
title: Stress induces oxytocin–Gαi-dependent remodeling of astrocytes to shape neuronal response in the amygdala
DOI: 10.15468/dl.sbrsyp
title: Occurrence Download

description: A dataset containing 488009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -25.914722",
 "DecimalLatitude is less than or equal to -20.914722",
 "DecimalLongitude is greater than or equal to -50.0",
 "DecimalLongitude is less than or equal to -45.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 488009 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043998-251120083545085/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.30846815
title: RNA-seq raw expression values for early-onset and late-onset types in 99 Korean colorectal cancer individuals

description: We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). <b>This dataset provides the raw expression values for the matched RNA-seq data (previously generated by us) corresponding to these 99 patients.</b> The abstract for our paper is as follows: Colorectal cancer (CRC) is the third most prevalent cancer type worldwide. Despite improvements in screening programs, the incidence of early-onset CRC (EOCRC) in patients under 50 years old is rapidly increasing, including in Korea, in contrast to the decreasing trend of late-onset CRC (LOCRC). However, a comprehensive biological understanding of CRC’s coding and non-coding variants, onset-dependent prognostic variables, and the genetic and transcriptomic differences between EOCRC and LOCRC remains limited. To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. WGS was performed using the DNBSEQ-T7 platform, generating 1.409 billion reads at an average depth of 37.70×. RNA-seq data previously generated from the same samples are included to support integrative analysis. This dataset enables comprehensive exploration of genomic and transcriptomic alterations in CRC and serves as a valuable resource for identifying onset-specific biomarkers and molecular features, ultimately supporting improved diagnosis and therapeutic strategies.
DOI: 10.6084/m9.figshare.30846815.v1
title: RNA-seq raw expression values for early-onset and late-onset types in 99 Korean colorectal cancer individuals

description: We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). <b>This dataset provides the raw expression values for the matched RNA-seq data (previously generated by us) corresponding to these 99 patients.</b> The abstract for our paper is as follows: Colorectal cancer (CRC) is the third most prevalent cancer type worldwide. Despite improvements in screening programs, the incidence of early-onset CRC (EOCRC) in patients under 50 years old is rapidly increasing, including in Korea, in contrast to the decreasing trend of late-onset CRC (LOCRC). However, a comprehensive biological understanding of CRC’s coding and non-coding variants, onset-dependent prognostic variables, and the genetic and transcriptomic differences between EOCRC and LOCRC remains limited. To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. WGS was performed using the DNBSEQ-T7 platform, generating 1.409 billion reads at an average depth of 37.70×. RNA-seq data previously generated from the same samples are included to support integrative analysis. This dataset enables comprehensive exploration of genomic and transcriptomic alterations in CRC and serves as a valuable resource for identifying onset-specific biomarkers and molecular features, ultimately supporting improved diagnosis and therapeutic strategies.
DOI: 10.15468/dl.pnq4b7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Typosyllis antarctica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044033-251120083545085/datasets/export for details.
DOI: 10.15468/dl.heffqj
title: Occurrence Download

description: A dataset containing 4026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ximenia americana",
 "Continent is Africa"
 ]
}

 The dataset includes 4026 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044034-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxg63y
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.15819 48.90685,2.24493 48.90685,2.24493 48.94368,2.15819 48.94368,2.15819 48.90685))",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset's 2 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044016-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfcez8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brania nutrix",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044038-251120083545085/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14087006
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.yndd4c
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xyris straminea",
 "Continent is Africa"
 ]
}

 The dataset includes 436 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044040-251120083545085/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.30845567
title: Detailed clinical characteristics of 99 Korean colorectal cancer sample

description: We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). <b>This dataset provides a comprehensive summary of the clinical information associated with these individuals</b>. The abstract for our paper is as follows: Colorectal cancer (CRC) is the third most prevalent cancer type worldwide. Despite improvements in screening programs, the incidence of early-onset CRC (EOCRC) in patients under 50 years old is rapidly increasing, including in Korea, in contrast to the decreasing trend of late-onset CRC (LOCRC). However, a comprehensive biological understanding of CRC’s coding and non-coding variants, onset-dependent prognostic variables, and the genetic and transcriptomic differences between EOCRC and LOCRC remains limited. To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. WGS was performed using the DNBSEQ-T7 platform, generating 1.409 billion reads at an average depth of 37.70×. RNA-seq data previously generated from the same samples are included to support integrative analysis. This dataset enables comprehensive exploration of genomic and transcriptomic alterations in CRC and serves as a valuable resource for identifying onset-specific biomarkers and molecular features, ultimately supporting improved diagnosis and therapeutic strategies.
DOI: 10.6084/m9.figshare.30845567.v1
title: Detailed clinical characteristics of 99 Korean colorectal cancer sample

description: We performed whole-genome sequencing (WGS) on 99 Korean patients with early- and late-onset colorectal cancer (CRC). <b>This dataset provides a comprehensive summary of the clinical information associated with these individuals</b>. The abstract for our paper is as follows: Colorectal cancer (CRC) is the third most prevalent cancer type worldwide. Despite improvements in screening programs, the incidence of early-onset CRC (EOCRC) in patients under 50 years old is rapidly increasing, including in Korea, in contrast to the decreasing trend of late-onset CRC (LOCRC). However, a comprehensive biological understanding of CRC’s coding and non-coding variants, onset-dependent prognostic variables, and the genetic and transcriptomic differences between EOCRC and LOCRC remains limited. To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. WGS was performed using the DNBSEQ-T7 platform, generating 1.409 billion reads at an average depth of 37.70×. RNA-seq data previously generated from the same samples are included to support integrative analysis. This dataset enables comprehensive exploration of genomic and transcriptomic alterations in CRC and serves as a valuable resource for identifying onset-specific biomarkers and molecular features, ultimately supporting improved diagnosis and therapeutic strategies.
DOI: 10.15468/dl.k4vax7
title: Occurrence Download

description: A dataset containing 6089 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sbp-BioBlitz2017_60years-BiodiversityData"
 ]
}

 The dataset includes 6089 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044039-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.