cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7dspc3mgst
title: Drunken4VN: A Thermal Infrared Imaging Dataset for Alcohol Intoxication Detection in Vietnamese under Diverse Environmental Conditions

description: This data set consists of thermal infrared images taken to enable binary classification of alcohol intoxication conditions of sobriety and drunkenness in the context of non-invasive imaging. It has two complementary subsets aimed at encouraging physiological validity as well as machine learning models' capacity to generalize in real-world applications.
Thermal Drunk Processing Dataset (TDPD): The TDPD dataset includes 560 photos of 20 Vietnamese volunteers (17 men, 3 women, aged 19–56 years). The participants drank two cans of Saigon Lager beer (ABV 4.6%) in three administrations, 20 minutes apart. Thermographic images were captured by a Total Mentor HT-03 thermal images (120 × 90 pixels, 8–14 µm wavelength) across multiple regions of the body, such as the whole face, left and right halves of the face, arms, and legs. Images were captured in different daily environmental conditions that ranged from indoor temperatures (23–25°C) to outdoor temperatures (30–37°C) at various times of the day. This dataset contains a variable number of images per class, with 140 sober and 420 drunk images from three drinking sessions.
The thermal diversity dataset (TDD) consists of 1,720 frontal facial thermal images from 60 subjects (45 sober, 15 drunk). The drunk subjects drank at least 660 ml of beer. Frontal facial images were taken from different facial poses (front, left, right) for additional pose diversity and balancing of the dataset. This subset includes facial thermal images only to enhance model generalization towards real-time detection.
By incorporating both methods and testing with an additional 20 people beyond the initial dataset, the total number of images in the dataset now amounts to 2,737. Specifically, there are 1,583 images depicting drunken individuals and 1,154 images showing non-drunken individuals. Both methods are extended to give further pairs of samples that are then combined to form an equilibrium binary classification problem. All images are saved in JPEG format with an average size of 30-50 KB, a fair compromise between storage capacity and quality. The dataset records important physiological temperature variations related to alcohol intake. Assembled from various environmental settings and time frames, this dataset fully represents the real climate in Vietnam and population diversity, and therefore is a precious source for constructing robust, population-driven drunkenness detection models in Southeast Asia.
DOI: 10.17632/7gkw7v5zst
title: Result of EFA & CFA Digital Resilience

description: The dataset is result of EFA using JAS-P 0.16.3.0 and CFA using IBM Amos 22
DOI: 10.6084/m9.figshare.28892183.v2
title: <b>Westernised Default Setting in Technology</b>

description: This zine explores how Western norms have become the default in many digital technologies, from interface design to system settings, under the guise of "universal design." Through critique, case examples, and visual storytelling, it challenges the idea that design can be neutral and highlights how cultural bias is embedded in the very tools we use every day.<br>I hope this work sparks reflection on whose values are prioritised in technology and encourages more inclusive, locally grounded approaches to digital design.
DOI: 10.15468/dl.jkk76c
title: Occurrence Download

description: A dataset containing 61935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pimpinella saxifraga L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 61935 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013163-250525065834625/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.16894114.v1
title: February 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in February, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.25534825.v1
title: Characteristics of temperate food forestry: a case study in Flanders, Belgium

description: In this study, we used site surveys and interviews with managers of 23 food forest projects in Flanders, Belgium, to gain insight in the biophysical and management characteristics of these systems.The data collection was performed in 2021.This dataset was used for the article "Characteristics of food forestry: a case study in Flanders, Belgium". The methodology used to obtain the data in this dataset can be found in that article."2021_Characteristics_FF_Flanders.csv" contains the majority of the data (general food forest characteristics, data from the interviews).<br>"2021_Characteristics_FF_Flanders_variabledescription.csv" contains the description of the variable names used in "2021_Characteristics_FF_Flanders.csv".<br>"2021_Characteristics_FF_Flanders_vegetationplot.csv" contains the species cover data for the 100 m² sample plots in the food forests.<br><br>
DOI: 10.6084/m9.figshare.28788113.v1
title: Supplementary Material for: Evaluation of Patients with Heart Failure with Reduced Ejection Fraction Treated with Bumetanide versus Torsemide

description: Introduction
Limited evidence guides clinicians regarding the agent selection between bumetanide and torsemide in patients with heart failure (HF). The present study aimed to compare the efficacy and safety profile of bumetanide and torsemide in patients with HF.

Methods
Patients aged &gt; 18 years with HF with reduced ejection fraction (HFrEF) receiving either bumetanide or torsemide were included from the TriNetX research network. Patients with end-stage renal disease were excluded from this study. The primary outcome was all-cause mortality, and secondary outcomes included all-cause hospitalization or emergency department visits, acute kidney injury, or hypokalemia over one- year follow-up period. 

Results
After propensity score matching, 16,277 patients in each group were included. The use of bumetanide was significantly associated with a higher risk of all-cause mortality (19.7 vs. 16.0 %; OR 1.28; 95% CI [1,21, 1.36]) compared to the torsemide group. The use of bumetanide was also significantly associated with higher risks of all-cause hospitalization or emergency department visits (53.3 vs. 48.3%; OR 1.22 95% CI [1.17, 1.28]), acute kidney injury (33.4 vs. 27.1 %; OR 1.35; 95% CI [1.29, 1.42]), and hypokalemia (16.6 vs. 13.7%; OR 1.21, 95% CI [1.17, 1.33]) compared to the torsemide group. 

Conclusion
The use of torsemide in patients with HFrEF is associated with lower risks of clinical outcomes than bumetanide. Further investigation of this association is warranted in clinical trials.
DOI: 10.6084/m9.figshare.7619129.v1
title: molcontour

description: MolContour is a Gnuplot script that will produce contour levels of molecules. This is the Data for the Molcontour examples.
DOI: 10.6084/m9.figshare.12610499.v1
title: Raw Data Bone Molecular Markers

description: Raw Data Bone Molecular Markers
DOI: 10.6084/m9.figshare.23574066.v6
title: Ploidy inference from single-cell data: application to human and mouse cell atlases

description: Ploidy is relevant to numerous biological phenomena, including development, metabolism, and tissue regeneration. Single-cell RNA-seq and other omics studies are revolutionizing our understanding of biology, yet they have largely overlooked ploidy. This is likely due to the additional assay step required for ploidy measurement. Here, we developed a statistical method to infer ploidy from single-cell ATAC-seq data, addressing this gap. When applied to data from human and mouse cell atlases, our method enabled systematic detection of polyploidy across diverse cell types. This method allows for the integration of ploidy analysis into single-cell studies. Additionally, this method can be adapted to detect the proliferating stage in the cell cycle and copy number variations in cancer cells. The software is implemented as the scPloidy package of the R software and is freely available from CRAN.<br>To reproduce the analyses inhttps://doi.org/10.1093/genetics/iyae061run the following R markdown files.simulatepolyploid.Rmd- Figure 2CellOntology.Rmd- Figures 3, 4, 5, 6, 7- Tables 1, S1Figure8a_PRJNA674903.Rmd- Figure 8a- Table S2Figure8b_GSE129785_README.txt- Figure 8b- Table S3
DOI: 10.6084/m9.figshare.28417001.v2
title: <b>WSCC Based Grid Aware Dataset of Electric Vehicle Charging Transcations</b>

description: A novel grid-aware data set of EV charging sessions for V2G simulation and research. The data set presented in this paper is derived from existing public real world data sets of Palo Alto City EVCS Data and Boulder City EVCS Data which have been integrated and restructured based on commonalities in grid structure, ensuring consistency and completeness for accurate modeling of EV impacts on the grid. The data set is sufficiently large in aspects of its timeline, involved infrastructure, user behaviour, quantity and quality of charge records. This enables a comprehensive analysis from the perspectives of the EV charger, the user, and, most importantly, the grid. It includes detailed identification information and location categories, which provide valuable insights into EV mobility behaviors, such as charging location, time, level, and duration.
DOI: 10.6084/m9.figshare.28861730.v1
title: MATLAB files related to "Grouping signals in primate visual cortex"

description: MATLAB files related to publication "Grouping signals in primate visual cortex"
DOI: 10.17632/37rp47sf5y
title: US-China Coal Mine Methane Collaborative Activities Database

description: An integrated database documenting U.S.-China bilateral cooperation initiatives, and multilateral initiatives that include both the United States and China, in coal methane since 1994.
DOI: 10.6084/m9.figshare.11954742.v1
title: Benchmark AFLOW Data Sets for Machine Learning

description: Materials informatics is increasingly finding ways to exploit machine learning algorithms. Techniques such as decision trees, ensemble methods, support vector machines, and a variety of neural network architectures are used to predict likely material characteristics and property values. Supplemented with laboratory synthesis, applications of machine learning to compound discovery and characterization represent one of the most promising research directions in materials informatics. A shortcoming of this trend, in its current form, is a lack of standardized materials data sets on which to train, validate, and test model effectiveness. Applied machine learning research depends on benchmark data to make sense of its results. Fixed, predetermined data sets allow for rigorous model assessment and comparison. Machine learning publications that don't refer to benchmarks are often hard to contextualize and reproduce. In this data descriptor article, we present a collection of data sets of different material properties taken from the AFLOW database. We describe them, the procedures that generated them, and their use as potential benchmarks. We provide a compressed ZIP file containing the data sets, and a GitHub repository of associated Python code. Finally, we discuss opportunities for future work incorporating the data sets and creating similar benchmark collections.
DOI: 10.6084/m9.figshare.14289764.v1
title: Quality of life of elderly with disabilities and physical activity in long-term institutions

description: Objective: To analyze the relationship between quality of life and level of physical activity in elderly with disabilities in long-term institutions. Methods: Exploratory study conducted with 55 elderly, through questionnaires from the World Health Organization about quality of life (WHOQOL-Bref), for elderly (WHOQOL-Old), and on physical activity (IPAQ-Long), besides medical charts. Results: Most elderly were characterized as female, aged 80 to 89 years, showed visual impairment, higher scores for general quality of life in the psychological and social domains and lower scores on the physical and environmental domains; higher scores of quality of life related to aging in the intimacy and activity of life (past, present and future) domains and lower scores death and dying and sensory skills domains; low levels of physical activity and were considered sedentary. We also found significant association between the overall score for quality of life with sedentary behavior and various domains of quality of life related to aging. Conclusion: Older respondents with less time sitting down, higher scores in the areas of autonomy and intimacy, and lower scores in the field fear death and dying are associated with higher scores for quality of life.
DOI: 10.6084/m9.figshare.1600931.v1
title: Emoji Sentiment Ranking

description: A lexicon of 751 emoji characters with automatically assigned sentiment. The sentiment is computed from 70,000 tweets, labeled by 83 human annotators in 13 European languages. The Emoji Sentiment Ranking web page at http://kt.ijs.si/data/Emoji_sentiment_ranking/ is automatically generated from the data provided in this repository. The process and analysis of emoji sentiment ranking is described in the paper: P. Kralj Novak, J. Smailović, B. Sluban, I. Mozetič, Sentiment of Emojis, submitted; arXiv preprint, http://arxiv.org/abs/1509.07761, 2015.
DOI: 10.6084/m9.figshare.2068677.v6
title: MAMEM EEG SSVEP Dataset I (256 channels, 11 subjects, 5 frequencies presented in isolation)

description: EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals. Check <b>https://www.youtube.com/watch?v=8lGBVvCX5d8&feature=youtu.be</b> for a video demonstrating one trial.Check <b>https://github.com/MAMEM/ssvep-eeg-processing-toolbox </b>for the processing toolbox.Check <b>http://arxiv.org/abs/1602.00904 </b>for the technical report.
DOI: 10.6084/m9.figshare.26164030.v3
title: Dataset for legume-rice rotations increase rice yields and carbon sequestration potential globally

description: Dataset for legume-rice rotations increase rice yields and carbon sequestration potential globally
DOI: 10.17605/osf.io/sryt9
title: Exploring the Lived Experiences of Clinical Educators: Challenges, Motivations, and Future Perspectives

description: Abstract:
Introduction:
This study examines the factors contributing to the shortage of medical doctors teaching medical students despite their crucial role in training the
future medical workforce.
Methods:
To analyze the factors behind the lack of medical doctors in the training of medical students, we used ‘phenomenology’ to understand clinical
educators' lived experiences and their constructed meanings. Within the domain of phenomenology, we applied hermeneutic (interpretive)
phenomenology. The experiences of eight clinical educators at the Gulf Medical University were explored through interviews and analyzed using
Interpretative Phenomenological Analysis (IPA) and Socio-Cognitive Career Theory (SCCT).
Results:
The findings revealed that entry into medical education often occurred serendipitously due to inadequate career counseling and the undervaluation
of the field. Acquiring a postgraduate medical education qualification in medical education enhanced one’s professional life and fostered a sense of
identity as a clinical educator. Key motivators included a passion for the field, student interaction, support from colleagues, and an encouraging
working environment. Clinical educators faced challenges, such as the field's low value, vague professional identity, delays in promotion,
specifically in UAE, low income, and insufficient dedicated teaching time. Coping strategies involved cultivating a positive work environment and
maintaining optimism. Growing awareness and a positive outlook for medical education were noted.
Conclusion:
This study uncovered the underlying issues faced by clinical educators through their lived experiences. To change the status quo, we propose
facilitating medical students and young doctors in joining this field early in their careers through strong career counseling and advocating clear
entry and progression pathways. Young medical educators should be facilitated by providing an encouraging environment, acknowledging their
medical education-related qualifications, and improving remuneration.
DOI: 10.17632/ftvmsf7z8b
title: Using mixed reality (MR) as an emerging technology for improving higher education: Analysis of mental workload

description: Currently, higher education students face difficulties in understanding and applying complex concepts related to PC hardware, due to the abstract nature of the components and their assembly. This limits their ability to apply knowledge in real-world contexts. Understanding such subjects is essential for students in fields like computer science, engineering, and technology. Traditional approaches, such as textbook-based teaching, theoretical presentations, or 2D simulations, have proven insufficient to provide students with the necessary practical understanding. Moreover, limited access to physical laboratories or real hardware has restricted opportunities for interactive learning, reducing both motivation and knowledge retention.

To address this, a mixed reality (MR) application was designed for the Meta Quest3 device, called Build_3D. This application allows students to interact with 3D models of PC hardware components and a smartphone. The application enables students to manipulate virtual parts, visualize real-time assemblies while learning how to assemble and disassemble a PC and a smartphone. Despite the advantages of this technology, students may experience mental workload due to the interactive nature of the learning environment. For this reason, this study analyzed the mental workload perceived by a group of students using the NASA-Task Load Index (TLX) tool.

The results are encouraging, showing that most students using Build_3D perceive a low mental workload, which is a positive indicator in educational settings, as it suggests that students can focus on the fundamental aspects of the content without being overwhelmed by the complexity of the interface or tasks. Additionally, these results indicate that Build_3D has been well-designed from both a pedagogical and ergonomic perspective. Students were able to complete the assigned tasks efficiently and with moderate effort, indicating that the application is suitable for both beginners and more advanced users. Despite these positive results, when using such technologies, it is important to incorporate rest periods and limit continuous usage to avoid mental fatigue.
DOI: 10.17632/szz9wzcktf
title: Municipal Solid Waste Data for India

description: Municipal Solid Waste Data for India
DOI: 10.6084/m9.figshare.25650927.v3
title: Nitrogen-loss in cold seeps

description: <b>Cold seeps are hotspots of deep-sea nitrogen-loss driven by newly discovered microorganisms</b>.
DOI: 10.6084/m9.figshare.26830381.v1
title: Impacts of Generative AI on Social Capital in China - Survey Data

description: This dataset comprises responses from 1,053 online participants surveyed across China. Collected through social media and email distributions, it includes detailed queries about the usage and perceptions of generative AI, categorized into task-oriented and social-oriented applications. The dataset features demographic variables (age, gender, education, location) alongside indicators measuring both offline and online social capital. Analysis reveals that generative AI users generally possess higher social capital than non-users, with task-oriented usage enhancing offline social capital yet detracting from online interactions. Conversely, socially-oriented usage boosts social capital across both spheres. This data, rich with insights on the interplay between technology use and social structures, is pivotal for understanding technological impacts on societal dynamics and could guide future technology policy and integration strategies.
DOI: 10.17632/7ggfxsc6vs
title: Lifetime prediction

description: The code in our paper 'A novel deep learning-based life prediction method for lithium-ion batteries
with strong generalization capability under multiple cycle profiles'.
DOI: 10.17632/sct47fptp3
title: 2025 -- Laminar OFC

description: Data and codes for study on laminar architecture of OFC
DOI: 10.6084/m9.figshare.20647788.v5
title: TabRecSet: A Large Scale Dataset for End-to-end Table Recognition in the Wild

description: Version 3 (Alpha version 1). Share same json annotations.
DOI: 10.6084/m9.figshare.21136585.v1
title: ALS Phenotype File

description: This file contains phenotype information for the 451 ALS transcriptomes considered in this study. This information is also available in Supplemental Table 13.
DOI: 10.17632/89455t8zy7
title: Análise de lacunas - modelo de inovação na Marinha

description: Esse banco de dados contem o modelo de questionário elaborado com base no modelo de análise de gaps, que objetiva a comparação entre importância e desempenho de atividades, critérios ou aspectos pontuais. Os demais suplementos incluem as respostas dos Especialistas consultados e o código computacional em linguagem R, usado na pesquisa.
DOI: 10.6084/m9.figshare.21766274.v1
title: aDNA_Aegean_Skourtaniotietal2023.1240K.geno

description: Haploid genotypes in eigenstrat format for 103 ancient Aegean individuals.
DOI: 10.6084/m9.figshare.28882391.v1
title: Dataset

description: Dataset