cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/uif9bl
title: Replication Data for: The Persistence of Prejudice: Voters Strongly Penalize Candidates with HIV

description: Data and replication code for: The Persistence of Prejudice: Voters Strongly Penalize Candidates with HIV

Forty million people around the world and more than one million in the United States live with HIV. Despite the gains in the prevention and treatment of HIV due to medical advances and community advocacy, HIV/AIDS continues to claim lives and disproportionately affect marginalized communities. Stigma against people with HIV remains powerful. While individuals with HIV have gained some visibility in the media, the scarcity of politicians with HIV is striking. This article analyzes a possible reason: voter bias. We examine voters’ reactions to political candidates with HIV using original nationally representative survey experiments from the United States, the United Kingdom and New Zealand. Voters penalize candidates with HIV by 10-12 percentage points in the three countries. Prejudice, electability concerns, and the moral judgment that candidates are responsible for their HIV+ status explain bias. The lack of descriptive representation remains an obstacle to improved policy outcomes for this marginalized community.
DOI: 10.15468/dl.8kbuew
title: Occurrence Download

description: A dataset containing 13417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arthrobacter Conn & Dimmick, 1947"
 ]
}

 The dataset includes 13417 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015320-250525065834625/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.28862978
title: Dataset_IC.xlsx

description: Влияние инвестиций в интеллектуальный капитал на финансовые показатели высокотехнологичных компаний в развивающихся странах
DOI: 10.5281/zenodo.16957295
title: Dataset for "Do Students Learn Better Together? Teaching Design Patterns and the OSI Model with the Jigsaw Method

description: This dataset accompanies the article “Do Students Learn Better Together? Teaching Design Patterns and the OSI Model with the Jigsaw Method”. It contains anonymized data collected from two undergraduate cohorts (2025) where the Jigsaw method (Aronson) was applied to the teaching of software design patterns and the OSI model in computer networks.

The repository includes:





Raw assessment data: individual Socrative quiz scores (ISC), group mental map scores (GMMS), and self/peer evaluation scores (SPES).




Composite metrics: calculated values of the Collaborative Learning Index (CLI).




Final grade data (FG) for the first instructional unit in each course.




Survey responses capturing student perceptions of coordination, fairness, engagement, and perceived learning.




Supporting materials: questionnaires, rubrics, and analysis scripts in R used for statistical testing (Shapiro–Wilk, Spearman, Wilcoxon).



All data are fully anonymized and provided in CSV/Excel format with accompanying documentation. The dataset enables replication of statistical analyses and supports further research on cooperative learning, collaborative engagement, and engineering education.
DOI: 10.15468/dl.e55pgx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gomphrena globosa",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048848-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jpvdzt
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048849-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eus58p
title: Occurrence Download

description: A dataset containing 20761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsella bursa-pastoris (L.) Medik.",
 "Country is Switzerland"
 ]
}

 The dataset includes 20761 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009467-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15498887
title: hunte22l/ID-MAGE_Completeness: ID-Mage Repository Publication Version

description: This repository includes the algorithm detection efficiency and visual inspection completeness files for the survey ID-MAGE.  There are three sets of folders available in the repository related to the survey and inside each folder are 35 files with one file per host (IC1727 and NGC0672 are treated as a single host). The folders are Algorithm, Full-Sample, and High-Likelihood which include the recovery fractions per magntidue and effective radius bin for the galaxy detections for different steps in the survey. These recovery fractions are based on injected artificial dwarf galaxies.

ID-Mage Repository Publication Version edited at time of referee report response (May 23 2025)
DOI: 10.5281/zenodo.15498889
title: hunte22l/ID-MAGE_Completeness: ID-Mage Repository Publication Version

description: This repository includes the algorithm detection efficiency and visual inspection completeness files for the survey ID-MAGE.  There are three sets of folders available in the repository related to the survey and inside each folder are 35 files with one file per host (IC1727 and NGC0672 are treated as a single host). The folders are Algorithm, Full-Sample, and High-Likelihood which include the recovery fractions per magntidue and effective radius bin for the galaxy detections for different steps in the survey. These recovery fractions are based on injected artificial dwarf galaxies.

ID-Mage Repository Publication Version edited at time of referee report response (May 23 2025)
DOI: 10.20351/29he20250409
title: SACO-10W-14S Cruise, RV Hespérides 

description: SACO-10W-14S Cruise (29HE20250409) carried out on the Research Vessel Hespérides in 2025.
DOI: 10.15468/dl.ecdr39
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berosus japonicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001676-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqaerv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.186 -2.355824, 116.115678 -2.36139, 116.047085 -2.377948, 115.98191 -2.405092, 115.921755 -2.442154, 115.868101 -2.488222, 115.82227 -2.542163, 115.785388 -2.60265, 115.758366 -2.668193, 115.741869 -2.73718, 115.736306 -2.807913, 115.741816 -2.87865, 115.758264 -2.947649, 115.785248 -3.013212, 115.822105 -3.073722, 115.867929 -3.127689, 115.921591 -3.173784, 115.98177 -3.21087, 116.046983 -3.238032, 116.115624 -3.254603, 116.186 -3.260172, 116.256376 -3.254603, 116.325017 -3.238032, 116.39023 -3.21087, 116.450409 -3.173784, 116.504071 -3.127689, 116.549895 -3.073722, 116.586752 -3.013212, 116.613736 -2.947649, 116.630184 -2.87865, 116.635694 -2.807913, 116.630131 -2.73718, 116.613634 -2.668193, 116.586612 -2.60265, 116.54973 -2.542163, 116.503899 -2.488222, 116.450245 -2.442154, 116.39009 -2.405092, 116.324915 -2.377948, 116.256322 -2.36139, 116.186 -2.355824))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001677-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6m2kr
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantago alpina, Plantago alpina, Plantago alpina)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 137 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001674-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.723v4c
title: Occurrence Download

description: A dataset containing 10559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Styrax obassia"
 ]
}

 The dataset includes 10559 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001675-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308425
title: Senecio cisplatinus Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308424
title: Senecio cisplatinus Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.pa2ska
title: Occurrence Download

description: A dataset containing 415498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Typha latifolia"
 ]
}

 The dataset includes 415498 records from 2299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001602-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13803206
title: DashCam-PedestrianLocate
DOI: 10.15468/dl.dfks4p
title: Occurrence Download

description: A dataset containing 2255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.23089072024008",
 "DecimalLongitude is less than 7.23395027342447",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2255 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000370-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/8xhv0f
title: Study 1: Designing feedback processes in the workplace-based learning of undergraduate health professions education: a scoping review.
title: Javiera Fuentes Cimma - PhD Projectdata for study 1

description: This scoping review explores how feedback processes are designed and organized in undergraduate clinical workplace-based learning environments. Recognizing that feedback plays a critical role in guiding learners toward improvement and professional development, this study aimed to map the range and nature of evidence on feedback practices in clinical education, with a particular focus on sociocultural dimensions. A search was conducted across seven major databases and ten key medical education journals. After a screening process supported by the StArt program, 61 studies were included from an initial pool of 4,877. A thematic analysis was carried out using a feedback loop model with a sociocultural lens as the guiding framework.
Two themes were identified in the qualitative analysis: the organization of the feedback processes in workplace-based learning environments and sociocultural factors influencing the organization of feedback processes. The literature describes multiple feedback strategies that generate feedback information. Most papers described experiences and perceptions, without establishing what strategies work to use feedback to improve performance. Sociocultural factors such as establishing a feedback culture, enabling stable and trustworthy relationships, and enhancing student feedback agency are crucial for productive feedback processes.
The attached files are the code list used for the thematic analysis and the full dataset of the included studies in the scoping review.&lt;BR&gt;&lt;BR&gt;
DOI: 10.17632/mwkr778yh9
title: Data for: Formation of Glauconite with Co-Occurring Apatite Traces Marine Rare Earth Element Behavior: Evidence from US Atlantic Continental Margin Sediments.

description: Raw data for all figures in the manuscript by Koschik and Liu to be published by Geochimica et Cosmochimica Acts as “Formation of Glauconite with Co-Occurring Apatite Traces Marine Rare Earth Element Behavior: Evidence from US Atlantic Continental Margin Sediments.”
DOI: 10.17632/mwkr778yh9.1
title: Data for: Formation of Glauconite with Co-Occurring Apatite Traces Marine Rare Earth Element Behavior: Evidence from US Atlantic Continental Margin Sediments.

description: Raw data for all figures in the manuscript by Koschik and Liu to be published by Geochimica et Cosmochimica Acts as “Formation of Glauconite with Co-Occurring Apatite Traces Marine Rare Earth Element Behavior: Evidence from US Atlantic Continental Margin Sediments.”
DOI: 10.17632/thghkfkywj
title: Consent form and questionnaire for effect of learners' sex on class participation

description: These attachments are extended data in for of consent form and questionnaire for the data awx of effect of learners' sex in class participation
DOI: 10.17632/thghkfkywj.1
title: Consent form and questionnaire for effect of learners' sex on class participation

description: These attachments are extended data in for of consent form and questionnaire for the data awx of effect of learners' sex in class participation
DOI: 10.17632/mym8dng45n.1
title: Interdisciplinarity Between Law, Economics, and Organizations in Brazilian Higher Education Institutions Dataset

description: This dataset documents the integration of Law and Economics concepts into academic courses across Law, Economics, and Business Administration. The dataset provides comprehensive information to support analysis of the representation of Law and Economics disciplines within graduate and stricto sensu programs at Brazilian higher education institutions. This data enables a systematic evaluation of access to interdisciplinary training in Law and Economics for both public and private sector administrators.

Two criteria were used to select the analyzed higher education institutions. First, offer at least two graduate, strictly speaking, courses, e.g., Law and Economics, Law and Business Administration, or Economics and Business Administration. Second, theses and dissertations published in the CAPES catalog by April 2022.

Based on these criteria, the data collected for this research encompasses course plans, syllabi, bibliographies, and other pedagogical documents from 912 subjects, totaling 428 courses, grouped into graduate and undergraduate programs in Law, Economics, and Business Administration from the 70 selected Brazilian higher education institutions. 

The content analysis focused on identifying key terms and influential authors in the field of Law and Economics, using NVivo to systematically assess the degree of interdisciplinary integration in these courses.
DOI: 10.17632/xrw59yvvfp.5
title: Mathematica software for modeling long-term tree growth curves indirectly, when tree ages are unknown

description: The Mathematica notebook "Long-term growth curves of trees with unknown ages (Ricker Nov 2025).nb" carries out all calculations that are developed in the article "Modeling long-term tree growth curves indirectly with piecewise linear regression and explaining factors, when tree ages are unknown", by Ricker et al. (2025) in "Environmental and Ecological Statistics". The two Excel files are two different input files. Please see the instruction file for details of how to use the notebook. For just inspecting the code, without the Mathematica software, the notebook and output files are provided as PDF files.
DOI: 10.17632/zty5nxj8fr.4
title: Reduced Prostate Cancer Risk in Patients with Androgenetic Alopecia Using 5-Alpha Reductase Inhibitors: A TriNetX Real-World Cohort Study

description: Supplementary materials for the manuscript titled "Reduced Prostate Cancer Risk in Patients with Androgenetic Alopecia Using 5-Alpha Reductase Inhibitors: A TriNetX Real-World Cohort Study".
DOI: 10.17632/x2cyc2s84t
title: Affective Use of Generative AI Promotes Human-AI Emotional Attachment and Improves Mood: Evidence from a Scenario Experiment and a Short-Term Intervention

description: This dataset accompanies the manuscript “Affective Use of Generative AI Promotes Human-AI Emotional Attachment and Improves Mood.” Our overarching hypothesis was that affective (emotion-focused) use of a generative AI agent fosters human-AI emotional attachment (EA), and that higher EA predicts subsequent reductions in negative affect (anxiety, depression). We further hypothesized that perceived social support would be positively associated with EA and examined the boundary role of attachment orientations (anxiety, avoidance).

The dataset contains two studies. Study 1 (N=301) is a within-subjects, scenario experiment contrasting affective vs. instrumental AI-use vignettes. Variables include demographics, perceived social support (12 items, 7-point scale), attachment anxiety/avoidance (ECR-S; 12 items, 5-point scale), and emotional attachment to AI (5 items, 7-point scale). Key finding: affective (vs. instrumental) use elicited higher EA; social support positively predicted EA; attachment anxiety showed a positive association with EA, whereas avoidance effects were mixed. Study 2 (N=239 completers) is a 21-day affective-use intervention with four survey waves (baseline, Day 7, Day 14, Day 21). Variables include EA (5 items, 7-point), Zung SAS/SDS for anxiety/depression (20 items each, 4-point; standard scores computed by multiplying raw totals by 1.25), and demographics. Key findings: EA increased over time, while anxiety and depression decreased; within-person cross-lagged estimates show that higher EA at time t predicts lower anxiety/depression at t+1. Improvements in anxiety/depression were most pronounced early (baseline→Week 1), whereas growth in EA lagged behind.

How the data were gathered: Study 1 participants were recruited online and evaluated both vignette conditions in counterbalanced order. Study 2 recruited young adults reporting recent anxiety/depression; participants engaged in daily ≥5-minute affective conversations with a single AI agent under standardized topic options, with surveys at four time points. All data are de-identified; informed consent was obtained; IRB approval was secured prior to data collection.

What’s included & how to use: De-identified, participant-level CSVs for both studies; a codebook with item wording, scale anchors, and scoring rules (including reverse-coded items); and analysis scripts (Mplus 8.4 and/or R) to reproduce descriptive, regression, repeated-measures, and longitudinal (LGCM / LCM-SR / CLPM) results. Higher scores indicate greater EA/social support; for SAS/SDS, higher standard scores indicate more severe symptoms. Users may (a) replicate the main analyses, (b) conduct moderation/mediation tests on social support and attachment, or (c) explore nonlinear change. Please cite the associated manuscript when reusing the data.
DOI: 10.17632/x2cyc2s84t.1
title: Affective Use of Generative AI Promotes Human-AI Emotional Attachment and Improves Mood: Evidence from a Scenario Experiment and a Short-Term Intervention

description: This dataset accompanies the manuscript “Affective Use of Generative AI Promotes Human-AI Emotional Attachment and Improves Mood.” Our overarching hypothesis was that affective (emotion-focused) use of a generative AI agent fosters human-AI emotional attachment (EA), and that higher EA predicts subsequent reductions in negative affect (anxiety, depression). We further hypothesized that perceived social support would be positively associated with EA and examined the boundary role of attachment orientations (anxiety, avoidance).

The dataset contains two studies. Study 1 (N=301) is a within-subjects, scenario experiment contrasting affective vs. instrumental AI-use vignettes. Variables include demographics, perceived social support (12 items, 7-point scale), attachment anxiety/avoidance (ECR-S; 12 items, 5-point scale), and emotional attachment to AI (5 items, 7-point scale). Key finding: affective (vs. instrumental) use elicited higher EA; social support positively predicted EA; attachment anxiety showed a positive association with EA, whereas avoidance effects were mixed. Study 2 (N=239 completers) is a 21-day affective-use intervention with four survey waves (baseline, Day 7, Day 14, Day 21). Variables include EA (5 items, 7-point), Zung SAS/SDS for anxiety/depression (20 items each, 4-point; standard scores computed by multiplying raw totals by 1.25), and demographics. Key findings: EA increased over time, while anxiety and depression decreased; within-person cross-lagged estimates show that higher EA at time t predicts lower anxiety/depression at t+1. Improvements in anxiety/depression were most pronounced early (baseline→Week 1), whereas growth in EA lagged behind.

How the data were gathered: Study 1 participants were recruited online and evaluated both vignette conditions in counterbalanced order. Study 2 recruited young adults reporting recent anxiety/depression; participants engaged in daily ≥5-minute affective conversations with a single AI agent under standardized topic options, with surveys at four time points. All data are de-identified; informed consent was obtained; IRB approval was secured prior to data collection.

What’s included & how to use: De-identified, participant-level CSVs for both studies; a codebook with item wording, scale anchors, and scoring rules (including reverse-coded items); and analysis scripts (Mplus 8.4 and/or R) to reproduce descriptive, regression, repeated-measures, and longitudinal (LGCM / LCM-SR / CLPM) results. Higher scores indicate greater EA/social support; for SAS/SDS, higher standard scores indicate more severe symptoms. Users may (a) replicate the main analyses, (b) conduct moderation/mediation tests on social support and attachment, or (c) explore nonlinear change. Please cite the associated manuscript when reusing the data.
DOI: 10.17632/x6bm565nxf
title: Strategic Governance for Crypto-based Entrepreneur

description: Literature review for Strategic Governance for Crypto-based Entrepreneur