cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xztfbtsgys.3
title: Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate - Datasets

description: The data are measurements of energy use and indoor climate from 6 real buildings in different climates. The data have a time resolution varying between 1 min and 15 min; in some case the highest resolution data are also averaged at larger intervals, up to 30 min. The data presented here were collected independently by researchers of different institutions and gathered in the context of the IEA EBC Annex 81 Data-driven Smart Buildings, as a joint effort to compile a diverse range of datasets suitable for advanced control applications of indoor climate and energy use in buildings.
DOI: 10.17632/25gf67c96f.5
title: Stated Preferences for Car Choice

description: This Data set including all the Variables (choice, college,hsg2, coml5, typez, fuelz, pricez, speedz, pollutionz, sizez) from 2016 to 2018.I scrapped this data from www.qed.econ.queensu.ca
DOI: 10.17632/nyf3c55fff.1
title: Magnetic properties of eutectoid steel with different perlite morphology

description: Data has devoted to the magnetic properties of eutectoid steel with different pearlite morphology as well as x-ray diffraction analysis results. Here you can find the raw data received by the Remagraph C-500 instrument, laboratory setup, designed in the Institute of Metall Physics of UB RAS, and PANalytical Empyrean Series 2 high-resolution diffractometer with Cu-Kα radiation.
DOI: 10.17632/c87p293wpb.4
title: AFICILL Database
DOI: 10.17632/m69zrf98c8.1
title: Anxiety, depression, ER

description: Database corresponding to a research on the relationship between anxiety and depression symptoms, and emotional regulation.
DOI: 10.17632/39hjn56wkp.1
title: Dataset for Advanced Public Transportation System under Limited Infrastructure Support

description: We present the dataset of bus trajectories and commuters' activity records (collected inside the bus) for the trips conducted in the Ahmedabad-Gandhinagar district of Gujarat, India. It also contains the trip demand for the Ahmedabad-Gandhinagar district of Gujarat, India. The data can be used for arrival time prediction, automatic bus-stop detection, and bus crowdedness detection for the scenarios of developing countries where Intelligent Transportation System (ITS) infrastructure deployment is limited. The automatic bus-stop detector resolves the problem of dynamic bus-stops on the routes. Moreover, the arrival time predictor can disseminate the estimated bus arrival time to the waiting commuters, and the bus crowdedness information can be utilized for scheduling and provisioning buses in crowded areas.

The data is collected using the android application, which periodically fetches the GPS records at the frequency of 1 Hz and the accelerometer records at the frequency of 40 Hz. It processes the bus trajectories to calculate arrival time prediction and all en-route stoppages of the bus trips for automatic bus-stop detection. However, it is challenging to infer whether a bus stoppage is due to bus-stops, traffic jams, or junctions. We observed that the bus-stop is a stoppage where commuter boards the bus. Therefore, the bus trajectory data and the commuters' records are opportunistically processed using the baseline classifier comprising of stepping detector, transport mode classifier, and commuter activity classifier to determine the bus boarding events and commuter's state (as standing/sitting) after boarding the bus. The software filters the en-route bus-stops using the bus boarding locations. The commuter's state (standing/sitting) is used to determine the crowdedness inside the bus. The sitting commuter's state indicates the availability of seat and a lesser level of crowdedness. In contrast, the standing commuter's state shows that the commuter did not got a seat on boarding the bus and reflects a higher crowdedness level. The software implementation uses open-source libraries and is reproducible. The link for the reproducible capsule of the implementation can be found in the related link section. The dataset information and meta-data for different records is mentioned in the respective folders.
DOI: 10.17632/w6fktm8jwx.1
title: IDENTIFYING CRITICAL FACTORS OF WORK-LIFE BALANCE AND ITS IMPACT ON INSURANCE EMPLOYEES IN INDIA – AN EXPLORATORY FACTOR ANALYSIS

description: The present paper aims at identifying the factors influencing work-life balance practices of insurance companies and assessing the impact of work-life balance practices on the employee’s work domain. The study focuses on responses on sixteen WLB statements of 300 respondents of managerial and supervisory cadres randomly selected from various insurance companies in Kolkata, India. Data have been collected by survey method using structured questionnaire of four point scale. The principal components method of Factor Analysis with varimax rotation and Ordinal Regression Analysis - PLUM (Polytomous Universal Model) have been performed in order to identify influential factors of WLB and the impact of work-life balance practices on family work conflict (FWC). The study identified four factors comprising sixteen items having Eigen values of more than 1 which accounted for about 52.9% of variation in data. Finally, thirteen statements were found to be statistically valid valid on the basis of Cronbach’s alpha of internal consistency. The pseudo R2 values (Nagelkerke = 37.6%) indicate that sixteen variables of WLB practices explain a relatively moderate proportion of the variation on family work conflict. Further, the Wald statistics identified only four influential variables out of sixteen variables which explain on family work conflict. The study would be beneficial for the service sector organizations in order to design a effective workplace that facilitates work-life balance and results in minimum family-work conflict.
DOI: 10.17632/xp94mghkwc.1
title: A Small Vehicle Key Points Dataset

description: This data set consists of two parts: vehicle pose images and vehicle key point coordinates saved in a JSON file. Because the vehicle images come from a public dataset that has been already published, so we can't provide. The meaning of the JSON file name "X_Y.json" is that this is the key point coordinates of the Y-th image of the vehicle with identity X. Each JSON file contains six sets of data, namely the x-axis coordinates and y-axis coordinates of six key points (centers of the left front wheel, the right front wheel, the left rear wheel, the right rear wheel, the front and rear of the vehicle). The pose images are vehicle skeleton generated based on vehicle key points.
DOI: 10.17632/7ywkdx7c62.1
title: Detailed earthquake catalog for the San Jacinto Fault Zone in southern California (2008-2020)

description: This data set contains hypocenter parameters for earthquakes between 1 January 2008 and 1 January 2021 in the San Jacinto Fault Zone region in southern California. The predecessor of this catalog is described in White et al. (2019). This data set was derived using a modified version of the procedure presented in White et al. (2019). Data fields are indicated by a header row in the file. The time field is in UTC time. The manuscript describing this data set is in preparation. References ========= White, M. C. A., Ben‐Zion, Y., & Vernon, F. L. (2019). A Detailed Earthquake Catalog for the San Jacinto Fault‐Zone Region in Southern California. Journal of Geophysical Research: Solid Earth, 124(7), 6908–6930. https://doi.org/10.1029/2019JB017641
DOI: 10.17632/ycv96d9pf3.3
title: Dataset on mental health, suicidal behaviors, literacy and stigma in Bangladeshi dental students

description: This paper presents data on mental health, suicidal behaviors, and suicide literacy and suicide stigma. A cross-sectional, face to face interview project was carried out between August and October 2019 within a total 5- Bangladeshi undergraduate dental institutes. Using a convenient sampling technique, a total of 487 students participated in the survey and 468 were kept for final analysis. The questionnaire included questions on (i) socio-demographics, (ii) family and personal psychiatric history, (iii) depression, (iv) anxiety, (v) suicidal behaviors, (vi) suicide literacy, and (vii) suicide stigma. Data was analyzed by using Statistical Package for Social Science (SPSS) version 22 and represented as frequencies, percentages herein. Further study from this data may help providing necessary information to develop effective healthcare policy and reduce adverse psychological effects and unexpected suicidal behaviors among dental students.
DOI: 10.17632/cnc3tkbwcm.1
title: AsiaRiceMap10m Example data

description: This example dataset is associated with the database "High resolution annual paddy rice maps for Southeast and Northeast Asia in 2017-2019" (AsiaRiceMap10m). *** The data file is in “.tif" format *** Temporal Resolution: Yearly *** Pixel size: 10 m *** Projection information: EPSG: 4326 *** Crop Type: Paddy rice. *** Year: Values from 2017 to 2019
DOI: 10.17632/3ks3syd2n3.1
title: Movies and dataset for: Hierarchical 2D to 3D micro/nano-histology of human dental caries lesions using light, X-ray and electron microscopy

description: Movies as described in the paper 'Hierarchical 2D to 3D micro/nano-histology of human dental caries lesions using light, X-ray and electron microscopy' (2022), Supplementary Information, SI-Movie S1-9. The details of scanning electron microscopy and synchrotron tomography results illustrated in the movies. 
Folder 'Dataset_crop.zip' contained a sequence of tif images (16-bits) which were cropped using ImageJ-Fiji, software mentioned in the manuscript (to get the crop dataset for the data in the software makeRectangle(0, 1272, 1563, 1238), dimension 1563 × 1238 pixels, voxel size 0.325 µm) from a full reconstructed synchrotron tomography raw dataset (10x objective lens, field of view 2560 × 2160 pixels, 831.675 × 701.675 µm, voxel size 0.325 µm, crop illustrated on the tif image 'Regionofinterest.tif'). This stack of datasets are extracted from one of the scans used for the tomography montage detailed in the manuscript. It shows the carious region and also some FIB-SEM milled regions.
DOI: 10.17632/ddsm28zgkj.1
title: Evaluation of the physical-chemical degradation of biodegradable plastics sold in supermarkets

description: The present investigation proposed to evaluate the
degradability of plastic materials declared publicly as biodegradable
plastics. Its physical and mechanical properties were determined.
Likewise, the materials were characterized by Fourier Transform
Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy
(SEM).
Two plastics declared as biodegradable (TA and TB) and a
conventional plastic such as Polyethylene (TC) were selected, which
were subjected to different environments such as water, soil and
weather, the study was carried out for a period of 4 months.
It was determined that the biodegradable plastic TA presented a
greater weight loss when subjected to soil and water, while TB and
TC did not present significant changes in these media. The TB
sample presented the greatest weight loss when exposed to the
elements. When subjected to mechanical tests, it was observed that
the TA samples showed a greater decrease in the properties of
maximum resistance and deformation. This behavior was
corroborated with SEM, where TA was the one that showed the most
signs of degradation when exposed to different media, TB plastic,
despite being sold as a biodegradable material, showed slight
changes in its morphology like TC plastic. While the FTIR analysis
revealed slight variations in their peaks and in the absorbances of
the regions corresponding to the biodegradable molecules.
Keywords- Starch, plastics, biodegradable, polyethylene.
DOI: 10.17632/x6xfs9zm6k.1
title: Preparation of filamentous cyanobacteria for use with a droplet-based microfluidic device

description: This data set includes three videos of Oscillatoria acuminata collected from Port Said, Egypt. Cultures were prepared for microfluidic applications to observe its growth over time. Various filament lengths were generated (40 μm, 70 μm, and 100 μm) by sonication and captured inside 290 μm-droplets. Growth of filaments was observed for three days under different temperatures (20°C, 27°C, and 37 °C). During the observation period, the filaments were actively growing and entangled inside the droplets. The surface tension was high and contained the filaments inside the droplets without rupturing. In some cases, filaments fragmented inside the droplets to form hormogonia for continued growth.
DOI: 10.17632/68y6nvv4z9
title: itakura data sp500 and bitcoin

description: sp500 and bitcoin
DOI: 10.17632/pndx45mmx8.1
title: Data for: An Overview of and Factor Analytic Approach to Flow Theory in Online Contexts

description: Abstract An overview of flow theory is presented from the literature across multiple disciplines, including information systems, ecommerce, marketing, digital gaming, user interface, management, and cultural contexts. Flow can play a pivotal role in the user experience and impact the user interaction with a site, computing device, or app. It is worthwhile to examine the effects of flow experience on users and incorporate these findings in designing engaging user experiences and interfaces in both web sites and mobile applications. To further understand these implications, the present study gave a questionnaire to 310 participants in an experimental setting following an online shopping episode. The factor analysis revealed three dimensions of flow experience: control, attention focus, and cognitive enjoyment. All three dimensions had very low correlations. No gender effect on flow was found. The data set has the following flow variables: Control (FlwCtrl1, FlwCtrl2, FlwCtrl3); Attention (FlwAttn1, FlwAttn2, FlwAttn3); and Cognitive Enjoyment (FlwCEnj1, FlwCEnj2, FlwCEnj3, FlwCEnj4, FlwCEnj5, FlwCEnj6).
DOI: 10.17632/5r3chsd873.1
title: EEG-MI数据集

description: EEG-MI实验数据集
DOI: 10.17632/fs4wm9hfxd.1
title: Simulated Credit Default data

description: The dataset consists on 100k records simulating the good (GB=0) or bad (GB=1) credit behavior of personal loans based on explanatory variables such as the account balance, payment history, loan purpose, other available assets, credit duration, debtor's age, home type and others.
DOI: 10.17632/twxp8xccsw.9
title: Ground Truth of Powerline Dataset (Infrared-IR and Visible Light-VL)

description: Despite a relatively crowded literature about detection of power lines for aircraft safety, the works are mostly optimized with very few training images; some even use artificially generated images. The IR imaging case is even less utilized. The reason is clearly the tremendous workload to obtain real images. With this demand in mind, the authors cooperated with the Turkish Electricity Transmission Company (TEIAS) to obtain video captures from actual aircraft. Later, the authors made a thorough inspection over the video frames to isolate, capture and clean thousands of valuable images. In this content, 400 IR and 400 VL images are acquired and scaled to a size of 512x512. The IR folder contains IR images with power line, ground truths and overlay images of these images. The VL folder contains VL images with power line, ground truths and overlay images of these images. The IR and VL groups were deliberately constructed to contain both regular and especially confusing scenes. "TY" shows that there are no power lines in the images. "TV" shows that there are power lines in the images. The videos were captured from 21 different regions all over Turkey at different seasonal days. Due to varying background behavior, varying temperatures and weather conditions, and varying lighting conditions, the achieved positive set contains several difficult scenes where low contrast causes close to invisibility for power lines. The original video resolutions were 576x325 for IR and full HD for VL, however, the captured frames were scaled down to smaller sizes and the effect of resizing was tested for various image sizes. An image size of 512x512 is sufficient for a consistently accurate power line detection The program developed by Assistant Professor Cihan Topal from Anadolu University Electrical and Electronics Department was used to draw ground truths.
DOI: 10.17632/8jvxtvz52x.1
title: SmallFishBD: A Comprehensive Image Dataset of Common Small Fish Varieties in Bangladesh for Species Identification and Classification

description: Type of data: 240x320 px Fish images.

Data format: JPEG.

Contents of the dataset: Varieties of small fishes in Bangladesh.

Number of classes: Ten small fish varieties - (1) Bele, (2) Chanda Nama, (3) Chela, (4) Guchi Baim, (5) Kachki, (6) Mola, (7) Narkoli, (8) Pabda, (9) Puti, and (10) Tengra.

Number of images: Total raw images = 1,700.

Distribution of instances: Images in each fish category- Bele = 205, Chanda Nama = 110, Chela = 190, Guchi Baim = 164, Kachki = 247, Mola =179, Narkoli = 129, Pabda = 125, Puti = 218, Tengra = 133.

Dataset size: Total size of the dataset = 30.8 MB and the ZIP compressed size = 27.5 MB.

Data acquisition process: Images of various small fish categories are captured through high-definition smartphone cameras focusing from different angles.

Data source location: Local wholesale fish markets located in different areas of Dhaka, Bangladesh.

Where applicable: Training and evaluating machine learning and deep learning models to identify and classify small fish species in Bangladesh which can be useful in aquaculture development, fisheries management and sustainable fishing, ecology and ecosystem health monitoring, and biodiversity and conservation efforts.
DOI: 10.17632/dvvm9cns2x.2
title: Geospatial dataset from Kitchener's Map of Cyprus

description: The dataset consists of six geospatial layers. The coastal shape, the road network, the hydrographic network, the administration boundaries and the land cover/use derived by manual digitization from Kitchener’s trigonometrical map of Cyprus, published in 1885. Additionally, the dataset includes the layer of the populated places described in the Census of 1881, accompanied by its population attributes. The dataset covers the entire area of the island of Cyprus.
DOI: 10.17632/b6ht48w4hm.1
title: Dataset of nurse-delivered cognitive behavioral intervention on depression, anxiety and medication adherence for persons living with HIV in China: a clinical controlled trial

description: This datasest comes from a parallel, two-arm, clinical controlled trial that investigates the intervention effects of nurse-delivered CBI on depression, anxiety, and medication adherence for PLWH in China. Data collectors repeatedly evaluated 140 participants’ outcomes through paper-based or online questionnaires at baseline, after 10-week CBI, and at 6-month follow-up. Measurement tools included the Hospital Anxiety and Depression Scale (HADS), self-reported medication adherence, the Visual Analog Scale (VAS), and medication possession ratio (MPR).
DOI: 10.17632/vtjd68bmwt.1
title: Indonesian Food Image

description: 
The dataset is a diverse collection of colored images featuring various Indonesian foods. These images display a range of backgrounds where the foods are presented, including restaurants, roadside stalls, and traditional eateries. The collected images also include variations in the background objects, such as tableware like plates, bowls, forks, spoons, and knives, or additional condiments like soy sauce, chili sauce, and lime. This stage utilizes a Google Chrome extension called Fatkun to perform scraping of image files on the browser page. The browser page used is Google Images, and the search keyword is the names of the Indonesian food types. The Fatkun extension can save all the images on that browser page into a chosen directory. The Indonesian foods are divided into ten classes of images, namely; meatball soup (bakso), seasoned duck (bebek betutu), mixed vegetable salad with peanut sauce (gado-gado), jackfruit stew (gudeg), fried rice (nasi goreng), fishcake (pempek), black soup (rawon), spicy meat dish (rendang), skewered and grilled meat (sate), and traditional soup (soto).
DOI: 10.15468/dl.ebjyvn
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix loureiroi Kunth",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 182 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kx52tk2ddj.2
title: Panoramic radiographs with periapical lesions Dataset

description: Apical periodontitis is a common dental disease. The periapical lesions in radiographs are important symptom to diagnosis apical periodontitis. The application of machine learning in detection of periapical lesions is a hot topic in dentistry. This dataset of panoramic radiographs with periapical lesions from real-world patients. This dataset can be used to train a deep learning model for apical lesions detection. This dataset provides 3926 radiographs. In order to enhance the dataset, the original images was scaled, rotated, flipped and added noise, expanding to. This dataset contains three main folders: Original JPG Images, Augmentation JPG Images, Image Annotations. The folder size of the dataset is
DOI: 10.17632/rcxkgshkm2.1
title: Exploring Suicide Risk and Protective Factors Among Medical School Applicants

description: Suicide is a serious but preventable public health problem. The university population is a vulnerable group for the development of emotional disorders, and medical school applicants in particular have higher levels of anxiety, depression, and suicidal ideation than students in other fields.

It is a cross-sectional, observational, and descriptive study where suicide risk, depression, anxiety, assertiveness, self-efficacy, emotional dysregulation, problem-solving, coping, and self-esteem in medical school applicants 

This research contributes to identifying the risks and protective factors that mitigate the suicide risk of medical students, particularly in the Latin American context. The hypotheses were that 1) emotional disorders, anxiety and depression, and emotional dysregulation are positively correlated with the presence of suicide risk; 2) the socio-emotional capacities of self-esteem, self-efficacy, coping strategies, and problem-solving are protective factors against the development of suicide risk; and 3) there are significant differences between women and men in the presence of affective disorders and suicide risk.

A total of 245 students participated in this study; their average age was 18.23 (±0.83) years, and the majority (173, or 70.6%) were women. The prevalence was 18.4% for suicide risk, 49.0% for anxiety, and 19.2% for depression. As for socio-emotional skills, the prevalence rates were found to be 11.0% for low assertiveness, 13.9% for low self-esteem, 11.4% for ineffectiveness in solving problems, and 40.5% for emotional dysregulation.