cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r9xhcwwgm4
title: MATERIAL PARA PRIMER ARTÍCULO CON DATOS PRELIMINARES CHATGPT 2025

description: El dataset que se presenta a continuación corresponde a un proyecto de investigación denominado “ChatGPT herramienta en la formación y competencia investigativa del programa de medicina en Villavicencio” financiado por la Universidad Cooperativa de Colombia como proyecto para la opción de trabajo de grado de la maestría en Educación. El dataset se compone de dos componentes principales: 1 el cuestionario que se aplicó a los estudiantes y docentes de la materia Semiología Clínica del quinto semestre del programa de Medicina, conformada por el texto completo del instrumento y el archivo en Excel con las respuestas obtenidas en la primera aplicación de la fase del mismo; 2 un análisis estadístico preliminar mediante el software Jamovi de los datos preliminares tomados para el primer artículo, el cual contiene variables cuantitativas y categóricas sobre percepciones, uso, utilidad percibida, barreras y nivel de conocimiento acerca de ChatGPT en el contexto de la educación superior. Por tanto, este dataset representa la principal fuente de datos para comprender de forma exploratoria el impacto y las prácticas emergentes en la utilización de herramientas generativas avanzadas en educación médica.
DOI: 10.17632/ss6pb96pty
title: England_CSC_2025

description: Supporting data for England et al. (2025). Dysregulated stem cell co-option of the lung regeneration program drives tumor initiation. Cell Stem Cell. 
Figure legends are provided in the document.
DOI: 10.6084/m9.figshare.28014860.v1
title: Radiographic findings of the children

description: Radiographic findings of the children
DOI: 10.6084/m9.figshare.7789637.v2
title: Selected Papers

description: Systematic Literature Mapping
DOI: 10.17632/snp7sbkb36
title: Delhi's ambient PM2.5 concentrations data for 2006-2018

description: This dataset presents Delhi's ambient PM2.5 data in the raw format at 15-minute interval for the period of 2006 to 2018. The data is obtained from the online open repository operated and maintained by the Central Pollution Control Board (CPCB), India. https://app.cpcbccr.com/ccr/#/caaqm-dashboard-all/caaqm-landing (last accessed August 21st, 2020). Use the advance search option to download. The data request conditions vary by pollutant, time step, and total time period. The data was filtered for nulls, negatives, and unexplainable feeds for quality control. Cleaned composite concentrations file for all of Delhi includes hourly averages, monthly averages, annual averages, number of operating stations by year, and data availability as % of 15-minute data points in a year
DOI: 10.6084/m9.figshare.12456692.v1
title: subway_ridership_hours.csv

description: This data compares hourly number of people getting on and off at subway stations using transportation cards in 2019 with those in 2020 for each corresponding day of week.
DOI: 10.6084/m9.figshare.17701694.v1
title: downscaled basin water footprint under 13 SSP-RCP scenarios.csv

description: Estimated water footprints in all 22 basins and the nation mean based on 4 Global Climate Models under 13 scenarios
DOI: 10.6084/m9.figshare.29178299.v1
title: Higher_education_project_paper.sav

description: Dataset
DOI: 10.6084/m9.figshare.9947384.v2
title: Original infrared spectrum of cement samples in field tests and Content of oxides in cement raw meal determined by FT-NIR and XRF method.

description: Original infrared spectrum of cement samples in field tests measured by FT-NIR method and Content of oxides in cement raw meal determined by FT-NIR and XRF method.
DOI: 10.17632/wfsymv7854
title: Romanian surface-depth focal mechanism catalogue

description: Parameters of the focal mechanism catalog for Romania surface-depth earthquakes (2005-2024). This catalog reports the following parameters: date (year/month/day), time (hh:mm:ss), Lat (latitude north, in degrees) and Long (longitude east, in degrees), Depth (km), Mw (magnitude), Strike1, Dip1 and Rake1 (strike, dip, rake of the first fault plane, in degrees), Strike2, Dip2 and Rake2 (strike, dip, rake of the second fault plane, in degrees), P-a, P-p, T-a, T-p ( P and T axis, azimuth and plunge angle, in degrees), Nr P (number of polarities), Err P (polarity errors), Method_Index (focal mechanism determination method: FOCMEC=1, FPFIT=2).
DOI: 10.6084/m9.figshare.21663401.v4
title: CIS Graph Database and Model

description: This dataset is based on the model developed with the Ph.D. students of the Communication and Information Sciences Ph.D. program at the University of Hawaii at Manoa, intended to help new students get relevant information. The model was first presented at the iConference 2023, in a paper "Community Design of a Knowledge Graph to Support Interdisciplinary Ph.D. Students " by Stanislava Gardasevic and Rich Gazan (available at: https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/9eebcea7-06fd-4db3-b420-347883e6379e/content)The database is created in Neo4J, and the .dump file can be imported to the cloud instance of this software. The dataset (.dump) contains publically available data collected from multiple web locations and indexes of the sample of publications from the people in this domain. Except for that, it contains my (first author's) personal graph demonstrating progress through a student's program in this degree, and activities they have done while in the program. This dataset was made possible with the huge help of my collaborator, Petar Popovic, who ingested the data in the database.The model and dataset were developed while involving the end users in the design and are based on the actual information needs of a population. It is intended to allow researchers to investigate multigraph visualization of the data modeled by the said model.The knowledge graph was evaluated with CIS student population, and the study results show that it is very helpful for decision-making, information discovery, and identification of people in one's surroundings who might be good collaborators or information points. We provide the .json file containing the Neo4J Bloom perspective with styling and queries used in these evaluation sessions.
DOI: 10.6084/m9.figshare.27896769.v1
title: Reportes Federais NECODE

description: This folder contains figures on sectoral complexity and proximity to complex new growth opportunities for each Federal State of Brazil, created as part of the project “Smart, Inclusive, and Sustainable Growth,” financed by CNPq - Processo n. 406943/2021-4.The top left figure illustrates the spatial distribution of industrial complexity (ICE) in 2019 across each state's microregions. The top right figure ranks the five microregions with the highest and lowest industrial complexity index. The bottom right figure plots the regional industrial complexity indices on the horizontal axis against the proximity of all Brazilian microregions to new complex activities on the vertical axis, highlighting the microregions of the considered Federal State in blue. The figure on the bottom left provides a detailed analysis of economic complexity (ICE) in the microregions, comparing the current ICE (represented by blue nodes) with the expected changes if these microregions transition to the five most related activities (red nodes) or to the five most complex activities ((green nodes) where they currently do not have Revealed Comparative Advantages. Please cite the papers by Cardoso et al. (2024) and Hartmann et al. (2024) on which these figures are based:<br>CARDOSO, B. H. F.; CATELA, E. Y. S.; VIEGAS, G.; PINHEIRO, F. L.; HARTMANN, D. Export complexity, industrial complexity and regional economic growth in Brazil. <i>Plos One</i>, 2024.HARTMANN, D.; CARDOSO, B.-H.; AREND, M.; CATELA, E. Complexidade setorial e estratégias de diversificação inteligente a nível microregional: o caso de Santa Catarina. Nova Economia, forthcoming.
DOI: 10.6084/m9.figshare.28912328.v1
title: Prediction uploaded on May 1 regarding the outcome of two matches on May 1 (evening)

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.17028/rd.lboro.6844772.v1
title: Screw Thread

description: Screw thread for monolayer and tissue engineered perfusion systems.
DOI: 10.6084/m9.figshare.22285330.v5
title: SPSS dataset of substance use in COVID long haulers.sav

description: The shared dataset includes study variables and covariates in the study entitled 'Substance use, psychiatric sypmtoms, personal mastery, and social suport among COVID-19 long haulers: A compensatory model'.
DOI: 10.6084/m9.figshare.28816217.v1
title: The Time of Acquisition of Multispectral Predictors Matters: The Role of Seasonality in Bird Species Distribution Models

description: Data described in the paper: The Time of Acquisition of Multispectral Predictors Matters: The Role of Seasonality in Bird Species Distribution Models; DOI: 10.1002/ecog.07935
DOI: 10.6084/m9.figshare.6363632.v1
title: All Training Data Files

description: All training-related data for all athletes in ZIP format due to the number of folders.<br>
DOI: 10.17632/5hfcxsbstk
title: COVID-19 burden, author affiliation and women’s well-being: COVID-19 related publications including focus on low- and middle-income countries

description: This dataset includes three versions of the data gathered by the UCSD Center on Gender Equity and Health as part of a literature review on COVID-19 publications related to women's well-being indexed through May 2021. We conducted a recurring literature review of academic articles related to COVID-19 and women's well-being in LMIC. Six electronic bibliographic databases [PubMed (pubmed.gov), Web of Science (Clarivate), PsycINFO (ProQuest), EconLit (EBSCO), NBER (nper.org) and RePeC (repec.org)] were searched for peer-reviewed literature and working papers. The reviews were conducted every 1-2 weeks between June 2020 and May 2021, thus covering all relevant articles on COVID-19 and gender indexed in the selected databases through 28th May 2021. Our search criteria were developed by gender research experts, and included terms related to five broad thematic areas related to COVID-19 and gender: a) Women and girls’ health, b) Gendered social impacts (including norms), c) Gendered economic impacts, d) Women’s collectives, and e) Women’s leadership (search terms in Appendix Table 1). Identified studies were then screened by a study researcher for the following eligibility criteria: including any data or findings focused on a LMIC, including any empirical analyses, and including any finding on the gendered aspects of social, economic and health impacts of the pandemic and spread containment responses in LMIC contexts. We excluded studies which had no empirical analysis (e.g. opinion or commentary pieces with no data analysis), were not in English, did not have full-text available, did not include focus on at least one LMIC, were missing basic study information (e.g. publication date, details on country/countries of focus, information on methods/analyses used), or were clearly off-topic. 

Four country-level variables were also included in this analysis. Country level data on COVID-19 cases and deaths were extracted from the World Health Organization database (https://covid19.who.int/). Countries were classified by income group (upper-middle income/ lower-middle income/ lower-income) using the World Bank income groupings (https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups). Gender Inequality Index (GII) 2019 rankings were obtained from the United Nations Development Program, and total development assistance received by countries from donors in 2019 was obtained from the Organization for Economic Co-operation and Development (OECD) database (https://stats.oecd.org/Index.aspx?DataSetCode=REF_TOTALRECPTS).

The study protocol was registered with Figshare (https://doi.org/10.6084/m9.figshare.12830513.v3).
DOI: 10.6084/m9.figshare.19064468.v1
title: Processed TCGA CNV data

description: Processed TCGA CNV data
DOI: 10.6084/m9.figshare.8309864.v2
title: Survival data

description: Fly and wasp survival data
DOI: 10.17632/4p77jfkvzn
title: Work Stress Data

description: Stress related factors to work design across 5 levels namely psychological, physical, social, organizational and empowerment have been measured through the Likert scale. The night shift and day shift workers of a case organization (50 each) have been measured for perception towards work stress. The value of 1 stands for strongly disagree, 2 for disagree, 3 for neutral, 4 for agree and 5 stands for strongly agree.
DOI: 10.17632/gfzcg79knx
title: Raw Data for Analysis of Adolescent Friendly Health Care Initiative In Bangladesh

description: This study aimed to assess the accessibility and utilization of adolescent-friendly healthcare services in four districts of Bangladesh (Tangail, Gazipur, Jamalpur, Khulna) from 2017 to 2019. The research focuses on the health and wellbeing of adolescents by evaluating key areas such as reproductive health services, nutritional support, counseling, and awareness regarding important issues like the legal age of marriage and contraceptive use. The study's findings contribute to understanding how healthcare services can be tailored to better meet the needs of adolescents, and help inform future policy decisions to improve adolescent health outcomes in Bangladesh. The data captures key demographic parameters such as age groups (10–14 years, 15–19 years), sex (male, female), and marital status (married, unmarried). The variables captured in the dataset include: Number of adolescents receiving services from healthcare facilities ; Number of adolescents provided with Iron and Folic Acid ; Number of adolescents treated for Reproductive Tract Infections (RTI) or Sexually Transmitted Infections (STI) ; Number of adolescents receiving counseling for RTI/STI ; Number of adolescents receiving counseling on changes during puberty and adolescence ; Number of adolescent girls using sanitary napkins ; Number of adolescent girls aware of the legal age of marriage; Number of adolescents categorized as underweight; Number of adolescents referred from educational institutions; Number of adolescents referred from adolescent clubs or other sources; Number of sexually active adolescents using contraceptive methods.
DOI: 10.17632/xg4yzrpcff
title: IMPLEMENTAÇÃO NUMÉRICA DE UM MODELO ELASTOPLÁSTICO PARA COMPÓSITOS DE MATRIZ METÁLICA REFORÇADOS COM GRAFENO

description: Anais do II Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, UFSM
Santa Maria, RS, 24 a 26 de outubro de 2023
DOI: 10.6084/m9.figshare.26827288.v2
title: Raw Data.zip

description: SDF-1 role in adipogenesis
DOI: 10.6084/m9.figshare.28912400.v1
title: Spatial data for Toronto in dissemination area scale

description: This dataset includes spatial data for Toronto including dissemination area blocks (latest update 2021):  <code>toronto_da.csv</code>: Information about dissemination areas with coordinates  <code>walking_matrix.npy</code>: Walking connectivity matrix  <code>transit_matrix.npy</code>: Transit connectivity matrix  <code>proximity_matrix.npy</code>: Spatial proximity matrix <code>da_boundary.shp</code>: Shapefile of dissemination area boundaries of Toronto<br><br><br><br>
DOI: 10.6084/m9.figshare.23283830.v1
title: Sleep quality affects visual working memory precision in college students

description: The purpose of this study is to explore the impact of sleep quality on visual working memory in college students and possible intermediate mechanisms through large sample data.
DOI: 10.6084/m9.figshare.27967104.v4
title: <b>Biometric Indicators, Gelatin Yield, and Functional Properties of Fish Scale Waste from Three Species with Different Trophic Levels</b>

description: Gelatin is a widely used food additive due to its ability to form gels and provide elastic texture to various food and feed products. This study evaluated the biometric characteristics as well as the physicochemical and functional properties of gelatin derived from waste scales of Puntioplites bulu fish (herbivore), Cyprinus carpio (omnivore), and Channa lucius (carnivore). The scales were first treated with 3% (v/v) glacial acetic acid and extracted with distilled water (1:4, w/v) at 80 °C for four hours. Fulton's condition factor ranged from 1.13 to 3.30. The length-weight relationship showed positive (+) and negative (-) allometric growth patterns. The average gelatin yield (based on wet weight) was 12.35% (P. bulu), 7.13% (C. carpio), and 5.03% (C. lucius). The extracted gelatin had an acidic pH (6.09–6.28). The foaming ability (FA) and foam stability values were: P. bulu (613.33% and 83.42%), C. carpio (416.67% and 28.3%), and C. lucius (550% and 73.06%). Furthermore, the water holding capacity (WHC) and fat binding capacity (FBC) of fish scale gelatin were 777.33% and 98.33% (P. bulu), 312% and 37.66% (C. carpio), and 967.0% and 207.33% (C. lucius), respectively. The gel strength and viscosity of P. bulu (226.67 g and 4.83 cP), C. carpio (207.33 g and 5.37 cP), C. lucius (278.33 g and 6.90 cP). In conclusion, gelatin from fish scale waste at different trophic levels exhibits varied biometric, physicochemical, and functional properties, with potential applications in human and animal food industries.
DOI: 10.17632/kxspxgxymb
title: Buy Emerald Cut Aquamarine Matched Pair Earrings

description: Step up your jewelry game with our stunning Emerald Cut Aquamarine Matched Pair Earrings! These earrings are made with exquisite craftsmanship and will make you feel like a million bucks. With their unparalleled sparkle and shine, you're bound to turn heads wherever you go. Order now and make every day a little more glamorous.
DOI: 10.17632/ph9fx5bj9n
title: SOIL CHARACTERIZATION FOR TEXTURE AND MOISTURE PROPERTIES AT SPATIAL DATA RANGE FOR POTENTIAL IMPACT ON FLOODING IN OZORO NIGERIA

description: Godspower Ikechukwu Okolotu, Chidiebere Fabian Ozioko, Okiemute Dickson Ofuyekpone, &, Ike Oluka, 2025. ABSTRACT: Soil properties for seven hundred and fifty (750) on – point soil samples were obtained at depth of 0 – 10 cm below the soil horizon and characterized for its texture type using the jar technique. Also, the moisture content features were attained prior microwave/oven drying technique otherwise dehydration for wet basis and dry basis conditions, as well as the moisture variation. These values attributes were used to obtained their impact on the flooding of the area. Resultantly, it was found that: the soil type of the area was sandy loam soil; while the average moisture values for the area were 5.4059% on wet basis, 5.8116 % on dry basis and 0.4057% variation. The variations in the basis range between 0 – 4 %. Thus, a conclusion based on the obtained results prior the soil properties which significantly showed normal features attributed to sandy loam soil with regards to water movement, indicating that the area flooding is not basically influence negatively from the ground type.
DOI: 10.6084/m9.figshare.22438855.v1
title: Scuffell et al. Latin American Codelists

description: SNOMED-CT codes that identify the Latin American population using ethnic group, language and country of birth codes.
DOI: 10.6084/m9.figshare.29144549.v1
title: myrimatch

description: myrimatch software
DOI: 10.17632/68mzswxccg
title: Result of EFA & CFA Digital Literacy

description: The dataset is result of EFA using JAS-P 0.16.3.0 and CFA using IBM Amos 22
DOI: 10.17632/zb2zmvypxt
title: GOURD LEAVES

description: The dataset comprises over 500 images of gourd leaves from the Cucurbitaceae family, classified into two categories: "good" and "bad." These images were captured using a Poco M2 Pro mobile camera against a black background under daylight conditions, ensuring consistent lighting across the dataset.

For each image, various attributes and characteristics of the gourd leaves were captured, including:

1. **Leaf Size and Shape**: Measurements of length, width, and shape descriptors such as aspect ratio or circularity, providing insights into the physical morphology of the leaves.

2. **Color**: RGB values or color histograms representing the color distribution across the leaf surface. This information can help identify patterns related to health or disease.

3. **Texture**: Descriptors of leaf texture, such as smoothness, roughness, or presence of any patterns or abnormalities.

4. **Vein Structure**: Analysis of the vein network within the leaves, including parameters like vein density, arrangement, and branching patterns.

5. **Symptoms and Defects**: Identification of any visible symptoms or defects indicating the health condition of the leaves. This could include signs of pests, diseases, nutrient deficiencies, or physical damage.

6. **Contextual Information**: Metadata such as location, date, and time of image capture, which can provide additional context for understanding environmental conditions and potential factors influencing leaf health.

Furthermore, the dataset may include annotations or labels provided by domain experts indicating whether each leaf is classified as "good" or "bad" based on predefined criteria. These labels serve as ground truth for training and evaluating classification algorithms.

The dataset aims to facilitate research and development in the field of agricultural science, specifically in the domain of gourd leaf health assessment and disease diagnosis. By leveraging machine learning techniques, researchers can develop models capable of accurately classifying gourd leaves and detecting potential health issues, ultimately aiding farmers in early intervention and crop management strategies.
DOI: 10.6084/m9.figshare.1525089.v1
title: Uncertainty in the timing of origin of animals and the limits of precision in molecular timescales

description: Supplemental data (molecular sequence alingments and phylogenetic trees) for dos Reis et al. (2015) Uncertainty in the timing of origin of animals and the limits of precision in molecular timescales (to appear in Current Biology)
DOI: 10.6084/m9.figshare.22691263.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.