cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x54j8vxdmp.2
title: Data for "Effect of User-Generated Image on Review Helpfulness: Perspectives from Object Detection"

description: This dataset is for the paper "Effect of User-Generated Image on Review Helpfulness: Perspectives from Object Detection".
The compressed file contains three json files, and they can be loaded by Python pandas package.
target_comment_seed2021.json contains all the reviews with images.
target_comment_no_image.json contains all the reviews without image.
20220128sample_comment.json is a subset of the first one that has balanced number of the reviews for experience products and search products.
The processing code and corresponding image data will be published latter.
DOI: 10.17632/s2y7s6rx7w.1
title: Dataset for Sri Lankan State Universities' Graduate Employability Capital for Management Undergraduates

description: This study used a quantitative and exploratory approach through the collection and analysis of data from a total of 377 survey respondents. As per sample data analysis, the COVID-19 pandemic shows a positive and significant impact on five graduate employability capital aspects.
DOI: 10.17632/bksp9j8fyk.1
title: Relevant Data (Deformation mechanism of highly textured Alnico magnets)

description: XRD data are used for phase and orientation analysis.
DOI: 10.5281/zenodo.4478627
title: Replication package: Code Comprehension Confounders: A Study of Intelligence and Personality

description: Replication package for: <em>S. Wagner and M. Wyrich, "Code Comprehension Confounders: A Study of Intelligence and Personality," in IEEE Transactions on Software Engineering, vol. 48, no. 12, pp. 4789-4801, 1 Dec. 2022, doi: 10.1109/TSE.2021.3127131.</em> - The `data` folder contains dataset and R analysis script. We recommend calling `setwd()` before running the script contents, so that the dataset can be properly loaded.<br> - the `materials` folder contains the experimental code snippets and the translated task sheets to evaluate code comprehension performance. Please note that the raw data does not contain the complete data set as we only make the data of those participants public that explicitly agreed to it (which applies to 130 of the 135 participants).
DOI: 10.5281/zenodo.4478628
title: Replication package: How Intelligence and Personality Relate to Code Comprehension Performance

description: Replication package for: "How Intelligence and Personality Relate to Code Comprehension Performance", double blind, ICPC 2021 submission. - The `data` folder contains dataset and R analysis script. We recommend calling `setwd()` before running the script contents, so that the dataset can be properly loaded.<br> - the `materials` folder contains the experimental code snippets and the translated task sheets to evaluate code comprehension performance. Please note that the raw data does not contain the complete data set as we only make the data of those participants public that explicitly agreed to it (which applies to 130 of the 135 participants).
DOI: 10.5281/zenodo.5031619
title: Replication package: Code Comprehension Confounders: A Study of Intelligence and Personality

description: Replication package for: <em>S. Wagner and M. Wyrich, "Code Comprehension Confounders: A Study of Intelligence and Personality," in IEEE Transactions on Software Engineering, vol. 48, no. 12, pp. 4789-4801, 1 Dec. 2022, doi: 10.1109/TSE.2021.3127131.</em> - The `data` folder contains dataset and R analysis script. We recommend calling `setwd()` before running the script contents, so that the dataset can be properly loaded.<br> - the `materials` folder contains the experimental code snippets and the translated task sheets to evaluate code comprehension performance. Please note that the raw data does not contain the complete data set as we only make the data of those participants public that explicitly agreed to it (which applies to 130 of the 135 participants).
DOI: 10.5281/zenodo.7038907
title: Replication package: Evidence Profiles for Validity Threats in Program Comprehension Experiments

description: Replication package for: <em>M. Muñoz Barón, M. Wyrich, D. Graziotin, S. Wagner. ‘Evidence Profiles for Validity Threats in Program Comprehension Experiments’. In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE</em>
DOI: 10.5281/zenodo.7038906
title: Replication package: Evidence Profiles for Validity Threats in Program Comprehension Experiments

description: Replication package for: <em>M. Muñoz Barón, M. Wyrich, D. Graziotin, S. Wagner. ‘Evidence Profiles for Validity Threats in Program Comprehension Experiments’. In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE</em>
DOI: 10.25452/figshare.plus.19629864.v3
title: RNA-seq Titration Results supporting "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously"

description: This data accompanies the manuscript "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously" by Foltz, Taroni, and Greene. Please refer to our github page. The file contains all the raw input data, output files needed for plotting, and the intermediate files (including models and normalized data) from one repeat (seed 3274). <br> Abstract: Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, the majority of available RNA assays were run on microarray, while RNA-seq is now the platform of choice for many new experiments. The data structure and distributions between the platforms differ, making it challenging to combine them directly. Here we perform supervised and unsupervised machine learning evaluations to assess which existing normalization methods are best suited for combining microarray and RNA-seq data. We find that quantile and Training Distribution Matching normalization allow for supervised and unsupervised model training on microarray and RNA-seq data simultaneously. Nonparanormal normalization and z-scores are also appropriate for some applications, including pathway analysis with Pathway-Level Information Extractor (PLIER). We demonstrate that it is possible to perform effective cross-platform normalization using existing methods to combine microarray and RNA-seq data for machine learning applications.
DOI: 10.6084/m9.figshare.21788345
title: Data File from "The Value of Being the Decisive Voter: Evidence from a Hedonic Model"

description: Data file from paper "The Value of Being the Decisive Voter: Evidence from a Hedonic Model" <br>
DOI: 10.6084/m9.figshare.21788345.v1
title: Data File from "The Value of Being the Decisive Voter: Evidence from a Hedonic Model"

description: Data file from paper "The Value of Being the Decisive Voter: Evidence from a Hedonic Model" <br>
DOI: 10.17632/zg43ssj3d6.1
title: Constructing a Fish’s Complete Thermal Tolerance Polygon: Effective Practices for Polygon Experiments using Mottled Catfish Corydoras paleatus

description: Critical Thermal Methodology (CTM) and Chronic Lethal Methodology (CLM) experiments were utilized to construct a complete thermal tolerance polygon for the South American fish species, Mottled catfish (Corydoras paleatus). Mottled catfish showed Chronic Lethal Maximum (CLMax) of 34.9±0.52°C and Chronic Lethal Minimum (CLMin) of 3.8±0.08°C. Fish were chronically acclimated (~2 weeks) to 6 temperatures ranging from 7.2±0.05°C →32.2±0.16°C (7°C, 12°C, 17°C, 22°C, 27°C, and 32°C), and CTM used to estimate upper and lower acute temperature tolerance. Linear regression of Critical Thermal Maximum (CTMax) and Minimum (CTMin) data with each acclimation temperature were used along with CLMax and CLMin to create a complete thermal tolerance polygon. The highest CTMax was 38.4 ±0.60°C for fish acclimated to 32.2±0.16°C, and the lowest CTMin was 3.36±1.84°C for fish acclimated to 7.2±0.05°C. Mottled catfish have a polygon measuring 785.7°C2, and the slope of the linear regressions showed the species gained 0.55°C and 0.32°C of upper and lower tolerance, respectively. We compared slopes of CTMax or CTMin regression lines to each other using a set of comparisons between 3, 4, 5, or 6 acclimation temperatures. Our data demonstrated that 3 acclimation temperatures were as sufficient as 4→6 to pair with estimates of chronic upper and lower thermal limits for accurately determining a complete thermal tolerance polygon.
DOI: 10.17632/tj8rp5ncp2.1
title: Cuban National Chemistry Contest 2018

description: This contribution compiles the problems, solutions and results of the Cuban chemistry olympiad for high school students celebrated nationwide in 2018. The Cuban National Chemistry Contest (CNQ, Concurso Nacional de Química, official name in Spanish) is a yearly competition intended to stimulate high school students the study chemical sciences during their bachelor's. It is sponsored by the Cuban Ministry of Education (MINED, official acronym in Spanish). Tenth-, eleventh- and twelfth-graders (15-17 years old, on average) are welcome to participate. This event is preceded by the Municipal Contest at each high school and the Provincial Contest in every province of Cuba. Top winners of the latter are invited to participate in the national event. This Cuban chemistry olympiad takes place at the Vocational High School for Exact Sciences (IPVCE, official acronym in Spanish) in every province. It is organized as a two-day event in February or March every year. During the competition, the students try to solve two sets of theoretical or theoretical-practical problems elaborated by previous olympics and mentors. The qualification of the exams is performed in Havana by a tribunal integrated by selected teachers from all over the country. The highest scores are priced with gold, silver and bronze medals. Top winners can choose any career in science and the university they like the most to continue their studies with no need for additional requisites. In addition, they are part of the national pre-selection and are invited to Havana for a short training period. After a final selection round, the national team for the international chemistry olympiads is formed. 
As a particularity of the 2018 national contest, the Faculty of Chemistry of the University of Havana designed the problems. In the contest, there were two theoretical problem sets following the same format employed in previous years. The first-day exam was intended for all grades (common problem set) and had four problems. The second-day exam consisted of individual problem sets containing three problems per grade. Herein, the problem sets are provided in the official Spanish versions and English translations. Also, for the first time, a booklet of Preparatory Problems was elaborated to guide the preparation of students and mentors. The booklet consisted of carefully selected tasks to exercise theoretical topics of advanced difficulty. The annexes compile the current version of the syllabus for the chemistry contest.
DOI: 10.17632/4vhcfy4gbv.1
title: Government Owned Enterprises Indices 

description: This data set include the calculation of weighted index of business excellence for Government Owned Enterprises.
DOI: 10.17632/z6rwkwmwf9.1
title: Levy PSO for second order temperature process

description: Temperature control is increasingly playing an important role in industrial Heat Exchanger System. Recently, lots of researches have been investigated for the temperature control system based on various control strategies. Tuning of PID controller can be done by GWO, PSO and Levy PSO optimization techniques.
DOI: 10.17632/s3y9bf8wxy.1
title: LINF_340027200

description: PDI47 | protein disulfide isomerase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hfdk729xkb.1
title: DATASET OF STUDENTS’ ABILITY AND EFFORT, INTELLECTUAL SKILL, HIGH SCHOOL EVALUATION, ACADEMIC SUPPORT, EMOTIONAL SKILL, LEARNING ENVIRONMENT, AND LEARNING ACHIEVEMENT ON ACCOUNTING

description: The data represent the factors determining of 220 students’ learning achievement in Introduction to Accounting courses in Indonesian universities. The data were collected by closed-ended questionnaires that were distributed to students in public and private universities in Indonesia using purposive sampling method.
DOI: 10.6084/m9.figshare.21788342
title: Narrative_emotion_recognition.sav

description: Emotion recognition from text, more specifically from narrative structure.
DOI: 10.34740/kaggle/ds/701530
title: Twitter MBTI Personality Types Dataset
DOI: 10.17632/27mrkw7j4b.1
title: Endometrial cancer Types I vs II

description: Data set for manuscript #2 as  a part of the doctoral thesis of the Elaine C. Candido presented to the University of Campinas (UNICAMP, Brazil) on 16DEC2021.
DOI: 10.17632/rdpx2gr38h.1
title: Selfie and Narcissism Dataset

description: This is the dataset used for the analysis of the paper
DOI: 10.17632/nby5kbrb7n.1
title: Data on Mobility Pattern of Male and Female in Delhi

description: The data is part of research study exploring following research questions-
(i) What are the household factors that affect the mobility of women as compared to men?
(ii) What are the transport-related factors contributing to women being transport disadvantaged in urban areas?

The primary data for this study was gathered through an online (public transportation users) and offline survey at a number of bus stops and metro stations in Delhi, India. The survey was conducted from December 2020 to March 2021, and a sample of 634 public transport users was collected, including both men and women, capturing their socio-economic status and travel patterns along with their perceptions about the public transport service provision in the city on a five-scale Likert scale ranging from "strongly disagree" to "strongly agree."

The survey includes passenger information, focusing on their socio-economic characteristics. Travel behavior focuses on their private and public transport usage patterns and perceptions about the service they are using. Rating of the built environment (road condition, public transport, parking, footpaths, and non-motorized transport services) while accessing the public transport service they are using.

The Excel file includes Code sheet for decoding the users responses.
DOI: 10.17632/xfc98xd2dg.1
title: An Urban Based Epidemiological Study of Sarcopenia, Dynapenia and Frailty in Community Dwelling Individuals of Belagavi City, India

description: Objectives: Aging is associated with progressive loss of skeletal muscle mass (sarcopenia) and strength (dynapenia) and frailty that can lead to mobility issues, falls/fractures, impaired functional abilities. Meager epidemiological data exist on occurrence of these conditions in Indian based regions. Hence, aim of the study was to create epidemiological data about sarcopenia, dynapenia and frailty in a cross-section of community dwelling individuals in Belagavi city of India.
Methods: A cross section of individuals above 40years with and without comorbidities were included in the study. They were screened for skeletal muscle mass expressed as appendicular skeletal muscle index using body composition analyzer, dominant hand grip strength with Jamar hand dynamometer and physical performance by gait speed using 4-metre walk test. The cut-offs for measurements for diagnosis was as per Asian Working Group for Sarcopenia.
Results: A total of 217 men and 283 women were enrolled for the study. The results depicted higher prevalence after age of 60years for Sarcopenia [89.89%], dynapenia [63.37%] and frailty [11.15%] when compared to those of 40-50years [46.47%, 61.18% and 0% respectively]. Irrespective of age, males [57.14%] were more sarcopenic than females [42.76%]. Men and women were equal with respect to dynapenia across all age groups. Frailty issues started only at 7th decade with females being frailer than males. 
Conclusions:  With advanced age, there is higher prevalence of sarcopenia, dynapenia and frailty. Men were more sarcopenic than females. Both genders were equally dynapenic across age classes with women being frailer than males after 70+ years of age.
DOI: 10.17632/xfc98xd2dg.2
title: An Urban Based Epidemiological Study of Sarcopenia, Dynapenia and Frailty in Community Dwelling Individuals of Belagavi City, India

description: Objectives: Aging is associated with progressive loss of skeletal muscle mass (sarcopenia) and strength (dynapenia) and frailty that can lead to mobility issues, falls/fractures, impaired functional abilities. Meager epidemiological data exist on occurrence of these conditions in Indian based regions. Hence, aim of the study was to create epidemiological data about sarcopenia, dynapenia and frailty in a cross-section of community dwelling individuals in Belagavi city of India.
Methods: A cross section of individuals above 40years with and without comorbidities were included in the study. They were screened for skeletal muscle mass expressed as appendicular skeletal muscle index using body composition analyzer, dominant hand grip strength with Jamar hand dynamometer and physical performance by gait speed using 4-metre walk test. The cut-offs for measurements for diagnosis was as per Asian Working Group for Sarcopenia.
Results: A total of 217 men and 283 women were enrolled for the study. The results depicted higher prevalence after age of 60years for Sarcopenia [89.89%], dynapenia [63.37%] and frailty [11.15%] when compared to those of 40-50years [46.47%, 61.18% and 0% respectively]. Irrespective of age, males [57.14%] were more sarcopenic than females [42.76%]. Men and women were equal with respect to dynapenia across all age groups. Frailty issues started only at 7th decade with females being frailer than males. 
Conclusions:  With advanced age, there is higher prevalence of sarcopenia, dynapenia and frailty. Men were more sarcopenic than females. Both genders were equally dynapenic across age classes with women being frailer than males after 70+ years of age.
DOI: 10.17632/6kmckbx4zz.1
title: Risk diversification strategies for biodiversity conservation investment

description: “Data(EE)” contains two different Excel data worksheets. In the “MPTinput(193counties)” sheet, values of expected return on investment (ROI) for 193 counties in 8 states (i.e., Alabama, Georgia, Kentucky, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia) under 486 climate and market uncertainty scenarios are shown. ROIs are used as the raw data for the naïve and constrained MPT frameworks. The second sheet, “Cost”, shows the average physical costs for each county specified by the size of eligible forestland (i.e., unprotected private forestland) and unit opportunity cost for conservation. Cost data is used as the upper bound constraint in the constrained MPT framework. Finally, we estimate efficient portfolios’ ROI and risk, with corresponding portfolio weight by using MATLAB code (“MPT code” in the zip file). For more details on the data, see Supplementary material.
DOI: 10.21227/bs6p-5456
title: Magnetometer data at Jupiter and Saturn spanning 6+ months for detection of the magnetar/dwarf novae-type prebursting evolution, 100-minute averages

description: Mission-integrated ⪅8nT magnetometer (MAG) data at Jupiter and Saturn, 100-minute averages. Data consist of the only available MAG measurements that spanned at least 6 months (180 Earth days), and include the Cassini–Huygens, Galileo, and Juno missions. Steven P. Joy and Joe Mafi (UCLA & NASA Planetary Data System/Planetary Plasma Interactions Node) provided concatenated and RTN-rotated Jupiter MAG 1-minute averages from Galileo and Juno, including random samples of field swelling. The Cassini RTN MAG calibrated 1-minute averages at Saturn and Jupiter were from the original Cassini–Huygens mission release. Subannual planetary magnetic fields variations ironed-out globally (maneuvers and moon flybys discarded).
DOI: 10.17632/gsgbrm2986.1
title: Exploring the possibility of expanding global wheat production to counteract food security crisis_Raw Data

description: All uploaded RAW Data is also available in GYGA website (https://www.yieldgap.org/). 

Wheat is one of the important crops for ensuring food security around the world. In total, Russia, and Ukraine export about a quarter of the world's wheat, and in the current situation, this part of the export is in doubt. Therefore, we have to look for alternative areas that can compensate part of this decrease in wheat production and supply. In this study, GYGA (Global Yield Gap Atlas) protocol, which is based on climatic information, has been used to investigate the possibility of increasing wheat production under rainfed and irrigated conditions in different parts of the world. Yield gap, production gap and expandable areas for wheat cultivation all over the world is the subject that has been addressed in this study.
DOI: 10.17632/rymjr4wsfz.1
title: Dataset on the predictors of employee green behavior among academics in Malaysia 

description: A regression analysis was conducted to assess the relationship between environmental knowledge, personal moral norms, attitude, perceived behavioral control, environmental concern and behavioral intention with employee green behaviour using the Statistical Package of Social Sciences (SPSS) 26. The data was conveniently obtained from a cross-sectional survey of 425 university lecturers in Malaysia. This article provides data about the participants’ demographic characteristics and the descriptive data of participants’ responses. Further, the mean, standard deviation, reliability of the measured constructs, and regression analysis model summary are provided. This dataset offers suggestions to the top management of higher education institutions and commercial organizations in deducing ways to encourage green behaviour among employees in order to reduce environmental degradation.
DOI: 10.17632/rymjr4wsfz.2
title: Dataset on the predictors of employee green behavior among academics in Malaysia 

description: A regression analysis was conducted to assess the relationship between environmental knowledge, personal moral norms, attitude, perceived behavioral control, environmental concern and behavioral intention with employee green behaviour using the Statistical Package of Social Sciences (SPSS) 26. The data was conveniently obtained from a cross-sectional survey of 425 university lecturers in Malaysia. This article provides data about the participants’ demographic characteristics and the descriptive data of participants’ responses. Further, the mean, standard deviation, reliability of the measured constructs, and regression analysis model summary are provided. This dataset offers suggestions to the top management of higher education institutions and commercial organizations in deducing ways to encourage green behaviour among employees in order to reduce environmental degradation.
DOI: 10.17632/m5pb22f782.1
title: Arabic Websites Assessment of Irritable Bowel Syndrome, How Trustworthy are they?

description: This is the collected data for the research named "Arabic Websites Assessment of Irritable Bowel Syndrome, How Trustworthy are they?"
DOI: 10.17632/x2hcbnw8c7.1
title: ASRI-95014-1

description: This is raw data for our manuscript entitled "Multi-attribute decision-making: use of scoring methods to choose the best form of dietary fat supplement in pregnant Saanen goats". Based on the result of this paper the multiple-attribute decision-making method can help us to choose the best one between different suggestions.
DOI: 10.17632/x2hcbnw8c7.2
title: ASRI-95014-1

description: This is raw data for our manuscript entitled "Multi-attribute decision-making: use of scoring methods to choose the best form of dietary fat supplement in pregnant Saanen goats". Based on the result of this paper the multiple-attribute decision-making method can help us to choose the best one between different suggestions.
DOI: 10.17632/dhskwr3r5f.1
title: METTL3 and DNA staining of SN&NSN GV oocytes

description: There are both SN (Surrounded nucleus) and NSN (Non surrounded nucleus)  GV oocytes in the cumulus cell-oocyte complex of both control and Mettl3 cKO mice after PMSG injection.