cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18075262
title: Generated centennial weather data for Maktau, Kenya

description: This dataset contains the 100-year simulated weather data for Maktau in Kenya used in the paper: Evaluating AquaCrop yield predictions against measured data and simulated rainfall variability in rainfed semi-arid agrosystems in Kenya. The stochastic weather generator Long Ashton Research Station Weather Generator (LARS-WG) version 8.0 was used to generate the weather data for the baseline period of 2013–2024.
DOI: 10.5281/zenodo.18075263
title: Generated centennial weather data for Maktau, Kenya

description: This dataset contains the 100-year simulated weather data for Maktau in Kenya used in the paper: Evaluating AquaCrop yield predictions against measured data and simulated rainfall variability in rainfed semi-arid agrosystems in Kenya. The stochastic weather generator Long Ashton Research Station Weather Generator (LARS-WG) version 8.0 was used to generate the weather data for the baseline period of 2013–2024.
DOI: 10.5281/zenodo.14960905
title: RO-iSCAT Data

description: Datasets for Rotational-integration Oblique Interferometric Scattering (RO-iSCAT)

NA: 1.49

Pixel size: 40nm




Data #1
40nm_NP.zip
iSCAT vs. RO-iSCAT on 40nm diameter gold nanoparticles


Data #2
Calibration data.zip
Z section of 40nm diameter gold nanoparticles under iSCAT vs. RO-iSCAT, 20um range with 10nm step


Data #3
2um_marker_axial_section.zip
Z section of 2um marker under RO-iSCAT w/ and w/o integration


Data #4
CAF_rotational_integration.zip
CAF cell under iSCAT, RO-iSCAT w/ and w/o integration


Data #5
CAF_with_40nm_NP.zip
CAF cell seed with 40nm gold nanoparticles, under iSCAT vs. RO-iSCAT


Data #6
Endothelial cell.zip
Endothelial cells under scattering-only vs. RO-iSCAT


Data #7
CAF_membrane_protrusions.zip
Membrane protrusion in CAF cells under scattering-only vs. RO-iSCAT
DOI: 10.25345/c5ft8dz3t
title: MassIVE MSV000100341 - Chrysanthemum FBMN Analysis 2024
title: This is a non-targeted metabolomics dataset of Chrysanthemum samples analyzed by LC-MS/MS. The data was processed using MS-DIAL and exported for Feature-Based Molecular Networking (FBMN) analysis on GNPS.
DOI: 10.15468/dl.3ad54h
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudohynobius puxiongensis"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067682-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jt5y7y
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bitis peringueyi"
 ]
}

 The dataset includes 452 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067683-251120083545085/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.30959699
title: <b>Single-Cell Transcriptomics Reveals HPV-Related Microenvironment Heterogeneity in Head and Neck Squamous Cell Carcinoma and Identifies a Three-Gene Prognostic Signature</b>

description: The tumor microenvironment (TME) of head and neck squamous cell carcinoma (HNSCC) varies with its human papillomavirus (HPV) infection status and is closely associated with patient prognosis. To systematically dissect HPV-related TME heterogeneity at the single-cell level and construct a robust prognostic model, this study integrated HNSCC single-cell RNA sequencing (scRNA-seq) data with public transcriptomic and clinical datasets. Analysis of 25 patient samples identified nine major cell types and revealed significant enrichment of CD8⁺ T cells in HPV-positive samples. Further high-dimensional weighted gene co-expression network analysis (hdWGCNA) on CD8⁺ T cells identified six functional modules associated with HPV status, involving processes such as immune regulation, cell cycle, and antiviral response. Based on these findings, we constructed a three-gene prognostic model comprising BTG1, AREG, and JAML using LASSO-Cox regression. This model effectively stratified patients into distinct survival risk groups across the training set, internal validation set, and the entire cohort. qPCR experiments validated the expression trends of the model genes: compared to the low-risk group, AREG expression was upregulated in the high-risk group, while BTG1 and JAML were downregulated. Functional enrichment and immune infiltration analyses indicated a close association between the model and immune microenvironment remodeling. This study provides new potential biomarkers and mechanistic insights for prognostic assessment and immunotherapy strategies in HNSCC.
DOI: 10.6084/m9.figshare.30959699.v1
title: <b>Single-Cell Transcriptomics Reveals HPV-Related Microenvironment Heterogeneity in Head and Neck Squamous Cell Carcinoma and Identifies a Three-Gene Prognostic Signature</b>

description: The tumor microenvironment (TME) of head and neck squamous cell carcinoma (HNSCC) varies with its human papillomavirus (HPV) infection status and is closely associated with patient prognosis. To systematically dissect HPV-related TME heterogeneity at the single-cell level and construct a robust prognostic model, this study integrated HNSCC single-cell RNA sequencing (scRNA-seq) data with public transcriptomic and clinical datasets. Analysis of 25 patient samples identified nine major cell types and revealed significant enrichment of CD8⁺ T cells in HPV-positive samples. Further high-dimensional weighted gene co-expression network analysis (hdWGCNA) on CD8⁺ T cells identified six functional modules associated with HPV status, involving processes such as immune regulation, cell cycle, and antiviral response. Based on these findings, we constructed a three-gene prognostic model comprising BTG1, AREG, and JAML using LASSO-Cox regression. This model effectively stratified patients into distinct survival risk groups across the training set, internal validation set, and the entire cohort. qPCR experiments validated the expression trends of the model genes: compared to the low-risk group, AREG expression was upregulated in the high-risk group, while BTG1 and JAML were downregulated. Functional enrichment and immune infiltration analyses indicated a close association between the model and immune microenvironment remodeling. This study provides new potential biomarkers and mechanistic insights for prognostic assessment and immunotherapy strategies in HNSCC.
DOI: 10.15468/dl.dbxrqh
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophryacus"
 ]
}

 The dataset includes 173 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067684-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufx4t7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudohynobius shuichengensis"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067685-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15226178
title: DISC Personality Assessment Dataset for Machine Learning Research

description: 📊 Dataset Overview: DISC-Inspired Personality Questionnaire (ML Study)This repository contains the anonymised dataset for a machine learning–driven exploration of the DISC personality framework. The data was collected as part of a research project examining whether computational methods can enhance the classification accuracy, efficiency, and interpretability of traditional DISC-based assessments.

📌 About the DatasetThe dataset consists of responses to 40 personality items adapted from validated psychological inventories available via the International Personality Item Pool (IPIP). Items were drawn from four behavioural dimensions that loosely map onto the DISC model:

Assertiveness (CPI/IPIP)

Social Confidence (JPI-R/IPIP)

Adventurousness (NEO/IPIP)

Dominance (CPI/IPIP)

Each participant rated 40 statements on a 5-point Likert scale:

1 = Strongly disagree

2 = Disagree

3 = Neither agree nor disagree

4 = Agree

5 = Strongly agree

All statements were phrased in the first person (e.g., "I express myself easily", "I like to visit new places").

🧩 Item StructureThe questionnaire includes 10 items per DISC-related dimension:

AS (Assertiveness): AS1–AS10

SC (Social Confidence): SC1–SC10

AD (Adventurousness): AD1–AD10

DO (Dominance): DO1–DO10

Items cover behaviours such as leadership, sociability, novelty-seeking, and assertiveness.

👥 Demographic InformationParticipants were asked to provide:

Gender (selected from: Male, Female, Other, or Prefer not to say)

Age (free-text entry; entries below age 18 were excluded)

While no formal demographic quotas were enforced, the final sample reflects a reasonably balanced distribution across age groups and genders, supporting the generalisability of findings across diverse professional and life-stage backgrounds.

To preserve anonymity, no personally identifiable information (PII) was collected. Only participants who confirmed the accuracy and research suitability of their responses were retained in the final dataset.

🔍 Purpose of the DatasetThis dataset supports analyses related to:

Supervised classification (e.g., Logistic Regression, XGBoost)

Feature selection using RFE

Unsupervised clustering (e.g., K-Means, PCA, Silhouette analysis)

Personality trait profiling and questionnaire reduction

It serves as the foundation for a research manuscript submitted to Nature Humanities and Social Sciences Communications.

📂 File IncludedDISC.csv – cleaned and anonymised dataset (1001 rows × 47 columns)

📜 CitationIf using this dataset, please cite the corresponding research paper (link forthcoming upon publication).
DOI: 10.5281/zenodo.15226177
title: DISC Personality Assessment Dataset for Machine Learning Research

description: 📊 Dataset Overview: DISC-Inspired Personality Questionnaire (ML Study)This repository contains the anonymised dataset for a machine learning–driven exploration of the DISC personality framework. The data was collected as part of a research project examining whether computational methods can enhance the classification accuracy, efficiency, and interpretability of traditional DISC-based assessments.

📌 About the DatasetThe dataset consists of responses to 40 personality items adapted from validated psychological inventories available via the International Personality Item Pool (IPIP). Items were drawn from four behavioural dimensions that loosely map onto the DISC model:

Assertiveness (CPI/IPIP)

Social Confidence (JPI-R/IPIP)

Adventurousness (NEO/IPIP)

Dominance (CPI/IPIP)

Each participant rated 40 statements on a 5-point Likert scale:

1 = Strongly disagree

2 = Disagree

3 = Neither agree nor disagree

4 = Agree

5 = Strongly agree

All statements were phrased in the first person (e.g., "I express myself easily", "I like to visit new places").

🧩 Item StructureThe questionnaire includes 10 items per DISC-related dimension:

AS (Assertiveness): AS1–AS10

SC (Social Confidence): SC1–SC10

AD (Adventurousness): AD1–AD10

DO (Dominance): DO1–DO10

Items cover behaviours such as leadership, sociability, novelty-seeking, and assertiveness.

👥 Demographic InformationParticipants were asked to provide:

Gender (selected from: Male, Female, Other, or Prefer not to say)

Age (free-text entry; entries below age 18 were excluded)

While no formal demographic quotas were enforced, the final sample reflects a reasonably balanced distribution across age groups and genders, supporting the generalisability of findings across diverse professional and life-stage backgrounds.

To preserve anonymity, no personally identifiable information (PII) was collected. Only participants who confirmed the accuracy and research suitability of their responses were retained in the final dataset.

🔍 Purpose of the DatasetThis dataset supports analyses related to:

Supervised classification (e.g., Logistic Regression, XGBoost)

Feature selection using RFE

Unsupervised clustering (e.g., K-Means, PCA, Silhouette analysis)

Personality trait profiling and questionnaire reduction

It serves as the foundation for a research manuscript submitted to Nature Humanities and Social Sciences Communications.

📂 File IncludedDISC.csv – cleaned and anonymised dataset (1001 rows × 47 columns)

📜 CitationIf using this dataset, please cite the corresponding research paper (link forthcoming upon publication).
DOI: 10.15468/dl.2re9g9
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saccostrea echinata"
 ]
}

 The dataset includes 660 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067686-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18075403
title: chamaedorea_tepejilote_spades_01.fasta.gz
DOI: 10.5281/zenodo.18075404
title: chamaedorea_tepejilote_spades_01.fasta.gz
DOI: 10.15468/dl.y2rtfk
title: Occurrence Download

description: A dataset containing 2492 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotriton montanus"
 ]
}

 The dataset includes 2492 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067687-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27skqq
title: Occurrence Download

description: A dataset containing 3078834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spinus spinus"
 ]
}

 The dataset includes 3078834 records from 2220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067669-251120083545085/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.28439747
title: Supplementary Materials<i>Emotional Regulation and Subjective Well-Being in Adolescents: A Systematic Review</i>

description: Introduction: Emotional regulation and its relationship with subjective well-being are relevant phenomena to study, especially during adolescence, a critical period marked by significant changes in mental health and social development. These antecedents underscore the importance of studying how emotional regulation can act as a protective factor for adolescents' subjective well-being. Objetive: The purpose of this systematic review was to investigate the impact of emotional regulation on adolescents' subjective well-being. Design/Methodology/Approach: The search was conducted following the PRISMA methodology in the Web of Science, Scopus, PubMed, and Scielo databases from January 2018 to December 2023, and the methodological quality was also assessed using the Newcastle-Ottawa Scale (NOS). Results: A total of 16 studies met the inclusion criteria, highlighting that adaptive emotional regulation strategies, particularly cognitive reappraisal and acceptance, are consistently associated with higher levels of life satisfaction, happiness, and self-esteem. Moreover, these strategies act as protective factors against depression, anxiety, and emotional distress. Studies employing longitudinal designs suggest that emotional regulation fosters resilience and improves adolescents' long-term well-being. Conversely, maladaptive strategies such as rumination and suppression were linked to lower subjective well-being and increased psychological distress. Conclusions: The findings underscore the critical role of emotional regulation in fostering adolescent well-being. Specifically, interventions that promote cognitive reappraisal and acceptance may enhance psychological resilience and overall life satisfaction. Future research should explore the long-term effects of emotional regulation training and its integration into educational and clinical settings to support adolescent mental health.
DOI: 10.5066/f7xd0ztg
title: Walrus Haulout and In-water Activity Levels Relative to Sea Ice Availability in the Chukchi Sea, 2008-2014

description: An animal's energetic costs are dependent on the amount of time it allocates to various behavioral activities.  For Arctic pinnipeds, the time allocated to active and resting behaviors could change with future reductions in sea ice cover and longer periods of open water.  The Pacific walrus (Odobenus rosmarus divergens) is a large Arctic pinniped that rests on sea ice or land between foraging trips to feed on the seafloor.  This dataset contains behavioral data collected from 216 radio-tagged adult female walruses instrumented in the Chukchi Sea (2008-2014) that formed the basis of a Bayesian generalized linear mixed effects model that investigated probability that a walrus was in water foraging, in water not foraging, or hauled out, as a function of environmental covariates.  The data are structured such that each line represents an hour of behavior collected during every third hour of the UTC day (hours 0 through 21), which was associated with temperature and wind metrics derived from the North American Regional Reanalysis dataset, as well as an index of the daily availability of sea ice based on the daily National Ice Center's Marginal Ice Zone product and an index of the availability of land.  Each record presents the walrus behavior recorded during the record's hour, the previous hour, and the subsequent hour.
DOI: 10.15468/dl.gyf9xr
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-75.82906 -31.32757,-74.95307 -60.10561,-21.88908 -31.32757,-21.88908 -9.76081,-57.7848 18.6456,-78.47211 32.75542,-120.05893 32.43715,-84.71325 -3.87854,-75.82906 -31.32757))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 138 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000661-250218110819086/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.28439753
title: Replication for Access to Justice for Women and Their Labor Force Participation: A Cross-Country Assessment

description: Replication file for Access to Justice for Women and Their Labor Force Participation: A Cross-Country Assessment
DOI: 10.25345/c52z1323r
title: MassIVE MSV000097141 - GNPS_GCMS_Massive_Cachazas_Isadora
title: Volatilomic/Foodomics Study of cachazas produced in Brazil using different types of wood for its aging
DOI: 10.25318/3210020301-eng
title: Hogs and pigs statistics, inventory number by class and semi-annual period, United States and Canada

description: Hogs and pigs statistics, inventory number by class and semi-annual period, United States and Canada (head x 1,000). Data are available on a semi-annual basis.
DOI: 10.15468/dl.q6tdjq
title: Occurrence Download

description: A dataset containing 110096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alopecurus myosuroides Huds."
 ]
}

 The dataset includes 110096 records from 1311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000660-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v58xa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Herbarium",
 "Geometry POLYGON((-87.93837 79.21374,-86.27145 79.21374,-86.27145 80.40829,-87.93837 80.40829,-87.93837 79.21374))",
 "HasCoordinate is true",
 "Year is 1991"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000662-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3210020301-fra
title: Statistiques de porcs, nombre de porcs par catégorie selon une période semestrielle, États-Unis et Canada

description: Statistiques de porcs, nombre de porcs par catégorie selon une période semestrielle, États-Unis et Canada (tête x 1 000). Les données sont disponibles sur une base semestrielle.
DOI: 10.15468/dl.ne25wa
title: Occurrence Download

description: A dataset listing the 34 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Evaluación de la ictiofauna en las áreas focales del corredor biológico costero-Yucatán",
 "Geometry POLYGON((-89.67184126574631 21.283697526554523,-89.66455829032361 21.283697526554523,-89.66455829032361 21.290980501977206,-89.67184126574631 21.290980501977206,-89.67184126574631 21.283697526554523))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 34 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000658-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13xvxqc
title: Sedimentary organic geochemistry data from Escanaba Trough, off the coast of northern California, collected May-June 2022

description: This data release presents organic geochemical data collected from sediments within the Escanaba Trough, a sedimented hydrothermal spreading center within the U.S. EEZ off the coast of Northern CA which contains marine minerals (USGS Field Activity 2022-621-FA). The data includes total organic carbon and total nitrogen content, stable and radioisotopes, compound specific biomarker data, and porewater nutrients which can inform on the total carbon storage, source, and cycling.
DOI: 10.25318/3210020401-eng
title: Hogs and pigs statistics, inventory number by class and semi-annual period, United States

description: Hogs and pigs statistics, inventory number by class and semi-annual period, United States (head x 1,000). Data are available on a semi-annual basis.
DOI: 10.15468/dl.8vhyzq
title: Occurrence Download

description: A dataset containing 698301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer platanoides L."
 ]
}

 The dataset includes 698301 records from 1940 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000647-250218110819086/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.26738190.v1
title: Additional file 6 of Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein–protein interactions

description: Supplementary Material 6.
DOI: 10.6084/m9.figshare.26738193
title: Additional file 7 of Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein–protein interactions

description: Supplementary Material 7.