cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y7x39rvrwm.2
title: Computational thinking related datasets in educational robotic-supported programming activities

description: Research Hypothesis:
This study hypothesizes that students’ computational thinking (CT) development in educational robotics-supported programming learning environments is influenced by both internal psychological factors (learning motivation, cognitive engagement, cognitive load, and prior programming knowledge) and external technology-related factors (task-technology fit, perceived usefulness, and perceived ease of use). The study integrates the Cognitive-Affective Theory of Multimedia Learning (CATLM), the Technology Acceptance Model (TAM), and the Task-Technology Fit (TTF) model into a unified theoretical framework.

Data Summary:
The dataset includes responses to 54 items measuring seven constructs:

Computational Thinking (CT)

Learning Motivation

Cognitive Load

Cognitive Engagement

Prior Programming Knowledge (measured via a Python programming test)

Perceived Usefulness (PU)

Perceived Ease of Use (PEU)

Task-Technology Fit (TTF)

All Likert-scale responses were rated on a 5-point scale (1 = strongly disagree, 5 = strongly agree). The Python programming test consists of 10 multiple-choice questions assessing basic programming skills (e.g., loops, conditions), scored from 0 to 10.

Data Collection Method:
The data were collected online using the Wenjuanxing platform in March 2025. Participants completed a structured questionnaire and a Python fundamentals test. All participants had prior experience with educational robotics in programming learning. The instruments used were adapted from validated scales and reviewed by experts. Participation was anonymous and voluntary, with informed consent obtained from all participants and guardians.

Notable Findings:

The proposed model explains 54.1% of the variance in computational thinking.

Learning motivation and task-technology fit are the strongest predictors of computational thinking.

Task-technology fit significantly influences perceived usefulness and ease of use, enhancing technology acceptance.

Prior programming knowledge reduces cognitive load and positively impacts computational thinking.

Cognitive engagement positively mediates learning outcomes, while cognitive load exerts a negative effect on engagement.

How to Interpret the Data:

Each row represents an individual student’s complete response.

Items are grouped by construct and follow a consistent coding scheme.

Higher scores reflect more positive perceptions or stronger abilities (e.g., higher CT or motivation).

Factor scores can be used to compute latent variables or replicate the structural equation modeling (PLS-SEM) and artificial neural network (ANN) analyses.

Potential Uses:

Reproducing or extending the SEM/ANN analyses presented in the study.

Exploring the relationships between cognitive, motivational, and technological factors in programming education.

Informing instructional design and technology integration strategies in STEM or robotics education contexts.
DOI: 10.17632/sy7pzkvgzs
title: First estimation of global thallium contamination in soils from arsenic mining areas: using thallium isotopic signatures as proxies

description: Detailed information on Tl content, Tl isotopes, and Tl source contribution (%) data;
DOI: 10.17632/sy7pzkvgzs.1
title: First estimation of global thallium contamination in soils from arsenic mining areas: using thallium isotopic signatures as proxies

description: Detailed information on Tl content, Tl isotopes, and Tl source contribution (%) data;
DOI: 10.17632/f7c9r4gph3
title: Data from 3D DG simulations of nonlinear acoustic waves

description: Output of a parallel discontinuous Galerkin (DG) C++ code that models 3D nonlinear, lossy wave propagation using MPI. Output is in the form of HDF5 files. Each file has the format "variable_processor_timestep.h" where variable is the value being output (either the scalar excess density "dRho", or the 3d vector of particle velocity "vel", or one of the scalar physical constants B/A "ba", diffusion constant "diff", ambient density "rho0", or sound speed "c0"). The second argument in the filename is the MPI core rank that is outputting, and the third argument is the number of the timestep being output. Runtime data (in seconds) is in a seperate text file. This data was used to create the figures in the corresponding paper "Scalable 3D Simulations of Attenuating Nonlinear Acoustic Waves with MPI and the Discontinuous Galerkin Method" by Drew Murray and Robert J. McGough.
DOI: 10.5522/04/27337383
title: Metadata from the Illumina MiSeq metabarcoding library (12S-V5 primer pair)

description: A CSV file describing the metadata from the Illumina MiSeq metabarcoding library obtained with the 12S-V5 primer pair to identify true samples, positive (fish and amphibian mock community) and negative controls (including field, extraction and PCR blanks). The data contained in the file was managed with R package <i>phyloseq</i> and formatted for ecological analyses using additional R packages (e.g. <i>vegan</i>).<br>
DOI: 10.5522/04/27337383.v1
title: Metadata from the Illumina MiSeq metabarcoding library (12S-V5 primer pair)

description: A CSV file describing the metadata from the Illumina MiSeq metabarcoding library obtained with the 12S-V5 primer pair to identify true samples, positive (fish and amphibian mock community) and negative controls (including field, extraction and PCR blanks). The data contained in the file was managed with R package <i>phyloseq</i> and formatted for ecological analyses using additional R packages (e.g. <i>vegan</i>).<br>
DOI: 10.17632/f7c9r4gph3.1
title: Data from 3D DG simulations of nonlinear acoustic waves

description: Output of a parallel discontinuous Galerkin (DG) C++ code that models 3D nonlinear, lossy wave propagation using MPI. Output is in the form of HDF5 files. Each file has the format "variable_processor_timestep.h" where variable is the value being output (either the scalar excess density "dRho", or the 3d vector of particle velocity "vel", or one of the scalar physical constants B/A "ba", diffusion constant "diff", ambient density "rho0", or sound speed "c0"). The second argument in the filename is the MPI core rank that is outputting, and the third argument is the number of the timestep being output. Runtime data (in seconds) is in a seperate text file. This data was used to create the figures in the corresponding paper "Scalable 3D Simulations of Attenuating Nonlinear Acoustic Waves with MPI and the Discontinuous Galerkin Method" by Drew Murray and Robert J. McGough.
DOI: 10.17632/jjbw6th94d
title: 300 Valid and Hoax Information Entries on Renewable Energy from Social Media Categorized by Media Type: Images, Videos, and Text

description: This dataset consists of 150 valid and 150 hoax entries related to renewable energy, collected from various social media platforms such as YouTube, websites, Instagram, TikTok, Facebook, and others. The data is categorized by media type, including blogs, videos, images, PDFs, Word documents, and PowerPoint presentations. Each entry is available in either Indonesian or English, and includes the name of the content creator or producer, along with the country of origin.
DOI: 10.17632/jjbw6th94d.1
title: 300 Valid and Hoax Information Entries on Renewable Energy from Social Media Categorized by Media Type: Images, Videos, and Text

description: This dataset consists of 150 valid and 150 hoax entries related to renewable energy, collected from various social media platforms such as YouTube, websites, Instagram, TikTok, Facebook, and others. The data is categorized by media type, including blogs, videos, images, PDFs, Word documents, and PowerPoint presentations. Each entry is available in either Indonesian or English, and includes the name of the content creator or producer, along with the country of origin.
DOI: 10.17632/tbfjjdn9xn
title: Study of Biocompatibility and wound healing properties of Strontium Hexaferrite (SrFe12O19) nanoparticles

description: The Powder Xrd data and VSM data of strontium hexaferrite
DOI: 10.17632/tbfjjdn9xn.1
title: Study of Biocompatibility and wound healing properties of Strontium Hexaferrite (SrFe12O19) nanoparticles

description: The Powder Xrd data and VSM data of strontium hexaferrite
DOI: 10.17632/g5xrhdw33v
title: Ms

description: presents a summary of the components of five dietary patterns
DOI: 10.17632/g5xrhdw33v.1
title: Ms

description: presents a summary of the components of five dietary patterns
DOI: 10.17632/3mtzw3mh75
title: ePRO-supported monitoring and chemotherapy dose intensity in early-stage breast cancer: a retrospective study dataset

description: This de-identified dataset supports a retrospective analysis of ePRO use and chemotherapy intensity in early-stage breast cancer.
DOI: 10.17632/3mtzw3mh75.1
title: ePRO-supported monitoring and chemotherapy dose intensity in early-stage breast cancer: a retrospective study dataset

description: This de-identified dataset supports a retrospective analysis of ePRO use and chemotherapy intensity in early-stage breast cancer.
DOI: 10.17632/cr8kfk82r6
title: Bidirectional Modulation By Specific Gut Bacteria Transplantation Via Metabolic Reprogramming In An ADHD Rat Model

description: All raw data are presented in order according to the findings of "Bidirectional Modulation By Specific Gut Bacteria Transplantation Via Metabolic Reprogramming In An ADHD Rat Model".
DOI: 10.17632/cr8kfk82r6.1
title: Bidirectional Modulation By Specific Gut Bacteria Transplantation Via Metabolic Reprogramming In An ADHD Rat Model

description: All raw data are presented in order according to the findings of "Bidirectional Modulation By Specific Gut Bacteria Transplantation Via Metabolic Reprogramming In An ADHD Rat Model".
DOI: 10.17632/p54sykjxnf
title: PRIMARY HEALTH CARE RESPONSE TO TUBERCULOSIS TREATMENT IN BRAZILIAN CITIES DURING THE COVID-19 PANDEMIC: A MIXED-METHOD STUDY.

description: This dataset contains anonymized data generated and analyzed during the study entitled "Primary Health Care Response to Tuberculosis Treatment in Brazilian Cities During the COVID-19 Pandemic: A Mixed-Method Study." The study aimed to evaluate the impact of the COVID-19 pandemic on tuberculosis (TB) care provided by primary health care (PHC) services in selected Brazilian cities. It includes both quantitative data from structured instruments applied to PHC professionals and qualitative data from key informant interviews.

Contents:

Quantitative database in CSV and Excel formats (de-identified)

Codebook and variable dictionary

Interview guide (qualitative instrument)

Excerpts from qualitative transcripts (anonymized), with thematic categorization

ReadMe file with methodology summary and data usage guidance

Data Collection Period: 2022–2023
Study Sites: Primary health care units in Goiânia (GO) and Florianópolis (SC), Brazil
Language: Portuguese (original), with English translations available for selected items
Ethics: Approved by the Research Ethics Committees of Universidade Federal de Goiás and relevant local health authorities. All participants signed informed consent. Data have been anonymized to protect confidentiality.
DOI: 10.17632/p54sykjxnf.1
title: PRIMARY HEALTH CARE RESPONSE TO TUBERCULOSIS TREATMENT IN BRAZILIAN CITIES DURING THE COVID-19 PANDEMIC: A MIXED-METHOD STUDY.

description: This dataset contains anonymized data generated and analyzed during the study entitled "Primary Health Care Response to Tuberculosis Treatment in Brazilian Cities During the COVID-19 Pandemic: A Mixed-Method Study." The study aimed to evaluate the impact of the COVID-19 pandemic on tuberculosis (TB) care provided by primary health care (PHC) services in selected Brazilian cities. It includes both quantitative data from structured instruments applied to PHC professionals and qualitative data from key informant interviews.

Contents:

Quantitative database in CSV and Excel formats (de-identified)

Codebook and variable dictionary

Interview guide (qualitative instrument)

Excerpts from qualitative transcripts (anonymized), with thematic categorization

ReadMe file with methodology summary and data usage guidance

Data Collection Period: 2022–2023
Study Sites: Primary health care units in Goiânia (GO) and Florianópolis (SC), Brazil
Language: Portuguese (original), with English translations available for selected items
Ethics: Approved by the Research Ethics Committees of Universidade Federal de Goiás and relevant local health authorities. All participants signed informed consent. Data have been anonymized to protect confidentiality.
DOI: 10.17632/hps8fbcvzr.1
title: Minority shareholders protection and executive compensation contract effectiveness: Evidence from the establishment of the China Securities Investor Service Center

description: Our sample period covers 2013–2022 since the execution of shareholder rights by the China Securities Investor Service Center began in 2016. A-share listed companies on the Shanghai and Shenzhen stock exchanges are included in our sample. The data are dedicated for the research titled "Minority shareholders protection and executive compensation contract effectiveness: Evidence from the establishment of the China Securities Investor Service Center"
DOI: 10.17632/5ckdn9pmyy
title: Survey Data on Gen Z in Indonesia: Linking Financial Skills, Digital Financial Literacy, Autonomy, and Impulsivity to Decision-Making and Financial Wellbeing

description: This dataset presents comprehensive information on Generation Z in Indonesia, with a particular focus on the impact of financial skills, digital financial literacy, financial autonomy, and impulsivity on financial decision-making and overall financial well-being. A total of 945 participants, born between 1997 and 2008, completed an online questionnaire consisting of 48 items designed to assess their personal financial management skills, attitudes toward financial instruments, levels of financial independence, and impulsive behavioral tendencies.

The dataset aims to provide insights into Generation Z's capability to make sound financial decisions and achieve financial well-being both in the short and long term. Moreover, it serves as a valuable resource for researchers in economics and finance to analyze individual financial behavior and competencies. The findings may also support policymakers in designing national financial education strategies and serve as a reference for educators and practitioners involved in financial literacy programs.
DOI: 10.17632/5ckdn9pmyy.1
title: Survey Data on Gen Z in Indonesia: Linking Financial Skills, Digital Financial Literacy, Autonomy, and Impulsivity to Decision-Making and Financial Wellbeing

description: This dataset presents comprehensive information on Generation Z in Indonesia, with a particular focus on the impact of financial skills, digital financial literacy, financial autonomy, and impulsivity on financial decision-making and overall financial well-being. A total of 945 participants, born between 1997 and 2008, completed an online questionnaire consisting of 48 items designed to assess their personal financial management skills, attitudes toward financial instruments, levels of financial independence, and impulsive behavioral tendencies.

The dataset aims to provide insights into Generation Z's capability to make sound financial decisions and achieve financial well-being both in the short and long term. Moreover, it serves as a valuable resource for researchers in economics and finance to analyze individual financial behavior and competencies. The findings may also support policymakers in designing national financial education strategies and serve as a reference for educators and practitioners involved in financial literacy programs.
DOI: 10.17632/5tt3zb2pns
title: Belt Looseness Fault Simulation in an HVAC Testbed

description: This testbed focuses on simulating and diagnosing belt looseness in a belt-driven HVAC (Heating, Ventilation, and Air Conditioning) system.
Current (R-, S-, T-phase; sampling rate=100kHz), Vibration (x-, y-axis; sampling rate=25.6kHz), RPM (motor, fan; sampling rate=100kHz) are included.
Four different conditions are emulated (normal(d0), weak(d1), moderate(d2), strong(d3), critical(d4)).

For more informations, please visit open-access journal "Data in Brief".
Title: Wonho Jung et al., "Experimental Dataset for Multiple Fault Conditions in Industrial-Scale Electric Motors under Randomized Speed and Load Variations," Data in Brief, (2025).
DOI: 10.17632/5tt3zb2pns.1
title: Belt Looseness Fault Simulation in an HVAC Testbed

description: This testbed focuses on simulating and diagnosing belt looseness in a belt-driven HVAC (Heating, Ventilation, and Air Conditioning) system.
Current (R-, S-, T-phase; sampling rate=100kHz), Vibration (x-, y-axis; sampling rate=25.6kHz), RPM (motor, fan; sampling rate=100kHz) are included.
Four different conditions are emulated (normal(d0), weak(d1), moderate(d2), strong(d3), critical(d4)).

For more informations, please visit open-access journal "Data in Brief".
Title: Wonho Jung et al., "Experimental Dataset for Multiple Fault Conditions in Industrial-Scale Electric Motors under Randomized Speed and Load Variations," Data in Brief, (2025).
DOI: 10.5522/04/28928078
title: Filtered water volumes and eDNA yields

description: This is a CSV file with the filtered water volumes per sample (each sample represents a Sterivex capsule) and their eDNA yields after the extraction process with the QIAGEN PowerWater Kit. Samples were collected at Lake Xochimilco, including the blanks (field and extraction). Data was used to run correlation and linear regression analysis to assess the presence of a relationship between filtered water volumes and obtained eDNA yields.
DOI: 10.5522/04/28928078.v1
title: Filtered water volumes and eDNA yields

description: This is a CSV file with the filtered water volumes per sample (each sample represents a Sterivex capsule) and their eDNA yields after the extraction process with the QIAGEN PowerWater Kit. Samples were collected at Lake Xochimilco, including the blanks (field and extraction). Data was used to run correlation and linear regression analysis to assess the presence of a relationship between filtered water volumes and obtained eDNA yields.
DOI: 10.15468/dl.jc37n6
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.67193 -32.61389,-19.16171 -32.61389,-19.16171 -9.98647,-75.67193 -9.98647,-75.67193 -32.61389))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus guttulus (Hensel, 1872)"
 ]
}

 The dataset includes 167 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060629-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew6neu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micractinium Fresenius, 1858",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060630-250525065834625/datasets/export for details.
DOI: 10.25824/redu/tlqcey
title: KGevol: grafos de conhecimento dinâmicos extraídos de informação textual não estruturada

description: Datasets related to the research project KGevol: dynamic knowledge graphs extracted from unstructured textual information. This project studied novel methods to represent knowledge conveyed in textual documents. Our investigation characterized the evolution of facts extracted from texts and represented them in knowledge graphs. We introduced novel methods that exploit the concept of Temporal Knowledge Graphs to model the temporal evolution of knowledge in corpora of unstructured texts.
DOI: 10.25574/28784
title: Chandra X-ray Observatory ObsId 28784

description: Absorption by the eROSITA bubbles
DOI: 10.17632/mpzsrsh9yh
title: Vulnerability-themed Narrative Research 2025

description: Datasets for a vulnerability-themed narrative research, discussing about an Indonesia beauty brand's product users' personal insecurity experiences as brand's persuasion technique in its marketing communication activity. Research was conducted in 2024-2025.
DOI: 10.17632/mpzsrsh9yh.1
title: Vulnerability-themed Narrative Research 2025

description: Datasets for a vulnerability-themed narrative research, discussing about an Indonesia beauty brand's product users' personal insecurity experiences as brand's persuasion technique in its marketing communication activity. Research was conducted in 2024-2025.
DOI: 10.17632/pmpf5tmwsn
title: Bibliography Music advertising and marketing

description: Bibliographic data of Music, advertising, and marketing
DOI: 10.17632/pmpf5tmwsn.1
title: Bibliography Music advertising and marketing

description: Bibliographic data of Music, advertising, and marketing
DOI: 10.17632/dnp2ssyrh6
title: Non-canonical PRC1.1 licenses transcriptional response to enable Treg plasticity in immune adaptation

description: Imaging data for the manuscript "Non-canonical PRC1.1 licenses transcriptional response to enable Treg plasticity in immune adaptation". This dataset contains a series of micrographs of Hematoxylin and Eosin (H&E) staining, photographs of tumors and organs from WT and cKO mice, as well as gels and blots.
DOI: 10.17632/dnp2ssyrh6.1
title: Non-canonical PRC1.1 licenses transcriptional response to enable Treg plasticity in immune adaptation

description: Imaging data for the manuscript "Non-canonical PRC1.1 licenses transcriptional response to enable Treg plasticity in immune adaptation". This dataset contains a series of micrographs of Hematoxylin and Eosin (H&E) staining, photographs of tumors and organs from WT and cKO mice, as well as gels and blots.
DOI: 10.17632/873drk8kr6
title: Flaxseed lignans inhibits ferritin autophagy through ERβ and improves depression-like behavior in perimenopausal mice

description: Original data for Figure 1-6
DOI: 10.17632/873drk8kr6.1
title: Flaxseed lignans inhibits ferritin autophagy through ERβ and improves depression-like behavior in perimenopausal mice

description: Original data for Figure 1-6
DOI: 10.17632/xgv8h8mfx8
title: Polη and Polζ act collaboratively and complementarily in “on-the-fly” and “post-replicative gap-filling” TLS on UV damage, respectively

description: THe raw data for the manuscript entitled 'Polη and Polζ act collaboratively and complementarily in “on-the-fly” and “post-replicative gap-filling” TLS on UV damage, respectively'
DOI: 10.17632/xgv8h8mfx8.1
title: Polη and Polζ act collaboratively and complementarily in “on-the-fly” and “post-replicative gap-filling” TLS on UV damage, respectively

description: THe raw data for the manuscript entitled 'Polη and Polζ act collaboratively and complementarily in “on-the-fly” and “post-replicative gap-filling” TLS on UV damage, respectively'