cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/45f952y38r.5
title: KU-HAR: An Open Dataset for Human Activity Recognition

description: (Always use the latest version of the dataset. ) Human Activity Recognition (HAR) refers to the capacity of machines to perceive human actions. This dataset contains information on 18 different activities collected from 90 participants (75 male and 15 female) using smartphone sensors (Accelerometer and Gyroscope). It has 1945 raw activity samples collected directly from the participants, and 20750 subsamples extracted from them. The activities are: Stand➞ Standing still (1 min) Sit➞ Sitting still (1 min) Talk-sit➞ Talking with hand movements while sitting (1 min) Talk-stand➞ Talking with hand movements while standing or walking(1 min) Stand-sit➞ Repeatedly standing up and sitting down (5 times) Lay➞ Laying still (1 min) Lay-stand➞ Repeatedly standing up and laying down (5 times) Pick➞ Picking up an object from the floor (10 times) Jump➞ Jumping repeatedly (10 times) Push-up➞ Performing full push-ups (5 times) Sit-up➞ Performing sit-ups (5 times) Walk➞ Walking 20 meters (≈12 s) Walk-backward➞ Walking backward for 20 meters (≈20 s) Walk-circle➞ Walking along a circular path (≈ 20 s) Run➞ Running 20 meters (≈7 s) Stair-up➞ Ascending on a set of stairs (≈1 min) Stair-down➞ Descending from a set of stairs (≈50 s) Table-tennis➞ Playing table tennis (1 min) Contents of the attached .zip files are: 1.Raw_time_domian_data.zip➞ Originally collected 1945 time-domain samples in separate .csv files. The arrangement of information in each .csv file is: Column 1, 5➞ exact time (elapsed since the start) when the Accelerometer & Gyro output was recorded (in ms) Col. 2, 3, 4➞ Acceleration along X,Y,Z axes (in m/s^2) Col. 6, 7, 8➞ Rate of rotation around X,Y,Z axes (in rad/s) 2.Trimmed_interpolated_raw_data.zip➞ Unnecessary parts of the samples were trimmed (only from the beginning and the end). The samples were interpolated to keep a constant sampling rate of 100 Hz. The arrangement of information is the same as above. 3.Time_domain_subsamples.zip➞ 20750 subsamples extracted from the 1945 collected samples provided in a single .csv file. Each of them contains 3 seconds of non-overlapping data of the corresponding activity. Arrangement of information: Col. 1–300, 301–600, 601–900➞ Acc.meter X, Y, Z axes readings Col. 901–1200, 1201–1500, 1501–1800➞ Gyro X, Y, Z axes readings Col. 1801➞ Class ID (0 to 17, in the order mentioned above) Col. 1802➞ length of the each channel data in the subsample Col. 1803➞ serial no. of the subsample Gravity acceleration was omitted from the Acc.meter data, and no filter was applied to remove noise. The dataset is free to download, modify, and use. More information is provided in the data paper which is currently under review: N. Sikder, A.-A. Nahid, KU-HAR: An open dataset for heterogeneous human activity recognition, Pattern Recognit. Lett. (submitted). A preprint will be available soon. Backup: drive.google.com/drive/folders/1yrG8pwq3XMlyEGYMnM-8xnrd6js0oXA7
DOI: 10.17632/4d94gw97c2.1
title: Data for Political Hierarchy and Regional Economic Developmen20191010

description: The folder contains the Stata data files to replicate Tables and Figures.
DOI: 10.17632/sjfpwph3xw.2
title: Supplementary Material

description: Venous thromboembolism risk is lower in patients with atopic dermatitis than other immune-mediated inflammatory diseases: A retrospective, observational, comparative cohort study using US claims data
DOI: 10.17632/pc6fxc95h5.1
title: Airline reviews dataset for Abstractive Summarization and Sentiment Classification

description: annotated_abs_summ.csv contains 500 airline review and summary pairs.
annotated_sentiment.csv contains 1100 airline reviews annotated for sentiment analysis.
review_titles_data.csv contains 7079 airline review and title pairs.
DOI: 10.17632/ch9h48km6x.1
title: Data for: IMPROVEMENT OF VAGINAL VASCULARIZATION IN POSTMENOPAUSAL WOMEN WITH GENITOURINARY SYNDROME WITH ISOFLAVONES DERIVED FROM GLYCINE MAX (L.) MERR VAGINAL GEL

description: To analyze the efficacy of using a vaginal gel based on Isoflavones derived from Glycine max (L.) Merr (soy) as a promoter of neovascularization of vaginal tissue, twenty-two postmenopausal women were randomized to use the vaginal gel based on Isoflavones derived from Glycine max (L.) Merr (soy) daily for 12 weeks, or to use Placebo vaginal gel during the same period. Vaginal micro biopsies were collected before and after the 12-week treatment and immunohistochemistry analyses were performed to provide a blood vessel count per field in the vaginal tissue, pre and post-intervention. We found that the Isoflavones group exhibited a significant increase in blood vessels per field relative to baseline, whereas the placebo group showed no difference compared to baseline, and there was a significant difference in the increase of number of blood vessels between the Isoflavone and Placebo Groups.
DOI: 10.17632/kbbfj6t7fv.1
title: The dataset and materials of "How exposure to natural scenes can promote weight control behaviors: A replication experiment"

description: We performed a behavioral experiment to replicate published findings showing that exposure to natural scenes, i.e., viewing pictures of natural versus urban scenes, is associated with the choice of a “reward drink” containing less sugar (i.e., a healthier dietary choice). In total, 140 participants were randomly assigned to one of two study conditions (viewing natural or urban scenes). Participants completed a task measuring temporal discounting. Two measures related to weight control were used: the amount of ice cream consumed in a taste test (actual food consumption) and the amount of sugar chosen for the reward drink. Compared to the urban group, the natural scene group chose reward drinks with less sugar and ate less ice cream in the taste test. The discounting rate fully mediated the impact of exposure to natural versus urban scenes on the two measures. The association between experimental exposure to natural scenes and weight control behaviors was not contingent on the intention to lose weight or participant sex. This replication experiment suggests that exposure to natural scenes helps individuals to control sugar intake and food consumption.
DOI: 10.17632/fn8dgf4hb5.1
title: Mango Dataset: A Comprehensive Resource for Agricultural Research and Disease Detection

description: The Mango Leaf Disease Detection Dataset is expected to become a benchmark resource for researchers, practitioners, and stakeholders involved in agriculture, machine learning, and computer vision to detect and classify diseases affecting the mango plant. This dataset is intended to contribute to furthering agricultural technology by improving crop protection strategies and enabling effective machine-learning model development for disease diagnosis.

It includes high-resolution images of mango leaves that were collected from August 15 to August 29, 2023, from the mango garden of Supu Ashulia, Bangladesh. In all, there are 1,319 original images at a resolution of 1000×1000 pixels showing various conditions of the mango leaves in natural environmental conditions. The classes of the dataset are divided into five main classes, namely Anthracnose, Die Black, Gall Midge, Powdery Mildew, and Healthy. These categories represent different diseased statuses and healthy conditions of the leaves, therefore providing a very fair platform for training and testing the model.

Class imbalance has been addressed, and the utility of the dataset improved through augmentation techniques. Each class is expanded to 1,000 images, totaling 5,000 augmented images. Flipping, rotation, scaling, and other augmentation techniques have ensured increased diversity and robustness in the dataset. The augmented images are supposed to provide better generalization by the model and an accuracy increase in detecting and classifying mango leaf diseases across a wide set of conditions.

Folder Structure:
1. Original Mango Leaf Disease Dataset:
Number of datasets: 1,319
Data format: .jpg

2. Augmented Mango Leaf Disease Dataset:
Number of datasets: 5,000
Data format: .jpg
DOI: 10.17632/gyw32gy6cj.1
title: A Computational Model of Human Personalities (Dataset)

description: In this paper we present a method for programming human personalities. We first describe a plausible biological mechanism that provides a logical explanation of the model in terms of power flow in the brain. We then show how the model qualitatively predicts the personality characteristics described by Lowry Colors, Enneagram, Merrill's C.A.P.S., the five factor model, and the clinical personality disorders. Regardless of the truth of the biological model, the predicted configuration allows us to create a feedback-loop computational model of human personalities, using the Enneagram to describe self-images and Myers-Briggs to describe behavioural techniques. The model successfully predicts the distribution of Myers-Briggs personality types in the human population within 14 percent error. The model directly results in the ability to program personalities on robots and AI systems. Moreover, the model suggests where to look for the source of personalities in the operation of biological brains. Run the file main.m.
DOI: 10.17632/7wwgfn23g4
title: Soil erosion experiments data

description: straw return and thawed depth on slope erosion and rill development
DOI: 10.17632/vzzy3b9gg4.1
title: Global port supply-chains

description: Data as part of article 'Ports’ criticality in international trade and global supply-chains' published in Nature Communications in 2022. 

Folders contain the various model output to reproduce the figures in the article. 
This includes:
-Output of the modal split model ('Modal_split')
-Maritime transport network ('Network')
-Allocated freight flows on the maritime transport network ('Maritime_transport')
-Freight flow allocation via port network ('Port_to_port_network')
-Output port statistics ('Port_statistics')
-Link between ports and input-output tables ('Port_IO_tables')

Please refer to the original article:
Verschuur, Koks and Hall (2022), Ports’ criticality in international trade and global supply-chains, Nature Communications
DOI: 10.17632/k4hc246ckn.2
title: Dataset of electric scooters with their specifications

description: This data article describes a dataset consisting of 42 electric scooters available on the Polish market. There are many models of electric scooters that are easily customizable, but for consolidation purposes the dataset contains the most common and widespread variants of the model. Each observation represents a particular electric scooter model and have an identifiable variable (ID) which arose from the manufacturer’s name and its model. The data of the described scooters come from their manufacturers, which have been published on official websites, and if they do not exist, they come from confirmed information on Polish and foreign websites (mostly e-stores), where individual models are sold. Due to the small amount of data in this industry and interdependent branches that can be applied to scientific and educational elements, this dataset can play an important role in the development of science, further research and applications in scientific fields such as revenue management, machine learning, or data mining.
DOI: 10.17632/6wtd85p9h2.1
title: Digital Literacy Research Dataset (1997-2019)

description: The digital literacy research and publication dataset, which was indexed by Scopus from 1997 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/t3vnjb953g.1
title: A Dataset Quality Assessment of TVET Educational Services toward Employability Skills in Malaysia Technical Universities Network 

description: This study presents a comprehensive dataset quality assessment of TVET (Technical and Vocational Education and Training) educational services with a focus on employability skills in the context of Malaysia's Technical Universities Network. The dataset encompasses a wide range of variables related to educational services and their impact on graduates' employability. The dataset assessment revealed notable findings regarding the teaching staff aspect and the training delivery aspect within the TVET education services offered at Malaysia's Technical Universities Network (MTUN). The findings indicate that the TVET education services at MTUN have a strong foundation in terms of teaching staff expertise, which contributes to the success of TVET human capital resources. The dataset holds significant potential for reuse across various domains. Researchers can leverage the dataset to conduct in-depth analyses, explore correlations, and identify best practices in TVET educational services that contribute to the development of employability skills. The dataset can be used to generate new insights, validate existing theories, or explore emerging trends in the field of TVET education and employability. Furthermore, the dataset can serve as a foundation for comparative studies with other countries or regions, enabling cross-contextual analysis and knowledge sharing. The dataset quality assessment contributes to the understanding of TVET educational services and their impact on employability skills within Malaysia's Technical Universities Network. It serves as a valuable resource for researchers, policymakers, educational institutions, and industry stakeholders, facilitating evidence-based decision-making, collaboration, and improvement within the TVET sector.
DOI: 10.17632/45vmp75htk.2
title: Vertex model of convergent extension integrating cell crawling and junction contraction

description: We developed a novel vertex model of convergent extension that includes both cell crawling and junction contraction. A detailed description is provided in the manuscript titled "Convergent extension requires adhesion-dependent biomechanical integration of cell crawling and junction contraction", CELL-REPORTS-D-21-06089.
DOI: 10.17632/8rxnzzbz6f.1
title: Data for: Comprehensive Review of Current Natural Gas Liquefaction Processes on Technical and Economic Performance

description: Technical and Economic Performance of Current Natural Gas Liquefaction Processes
DOI: 10.17632/88t45xbn59.2
title: Survey Data on Energy and Fuel Use of Firms in Economic Zones in the Philippines

description: The data describe the firm’s characteristics, production operations, utilities, and fuels used in the production of 115 manufacturing and agro-industrial locators in Philippine special economic zones. The data include information on sales and schedules; electricity sources, requirements, and uses; the importance of various conventional fuels, the firms’ consumption expenditure in their major production processes. The data also includes their employee’s aptitude and knowledge on alternative fuels and primary energies, their considerations and opinions on alternative fuels and primary energies, and experiences in using them.
DOI: 10.17632/2h62x9xzyd.1
title: Bone fracture dataset

description: This dataset is prepared for bone fracture classification for tibia and fibula bones. The data format is PNG, which actually proved by medical experts from the University of Gondar, Ethiopia, and some was taken from an online repository.
This dataset is intended for classifying bone fractures in the tibia and fibula bones. 
This dataset is prepared for bone fracture classification for tibia and fibula bones. The data format is PNG, which actually proved by medical experts from the University of Gondar, Ethiopia, and some was taken from an online repository.
 The goal is to develop a machine learning model that can accurately classify and localize bone fractures from the provided images. This dataset will serve as a valuable resource for training and testing such models, ultimately contributing to the improvement of fracture diagnosis and treatment
DOI: 10.15468/dl.qvd867
title: Occurrence Download

description: A dataset containing 75008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamiasciurus hudsonicus (Erxleben, 1777)"
 ]
}

 The dataset includes 75008 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009327-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v5t938393w.1
title: Approaches for Hybrid Scaling of Agile: A Systematic Literature Review and Research Agenda

description: Data contains the studies included in the SLR about approaches for hybrid scaling of agile. Title, year of publication, and DOI is provided.
DOI: 10.17632/vwdd9grvdp.1
title: Swimcat-ext
DOI: 10.17632/fpctx3svzd.1
title: MyNursingHome

description: MyNursingHome is a fully labelled image dataset collected in several elderly home cares in Malaysia to facilitate broad use of image classification and detection. MyNursingHome is very practical as the dataset contains 37,500 digital images from 25 different indoor object categories commonly found in elderly care centre, including basket bin, bed, bench, cabinet, call bell, cane stick, chair, door, electric socket, fan, fire extinguisher, handrail, human being, rack, refrigerator, shower, sink, sofa, table, television, toilet seat, walker, wardrobe, water dispenser, wheelchair and all of which are object for indoor detection.
DOI: 10.17632/8yn985bwz5.1
title: SCAT dataset

description: The Swedish Civil Air Traffic Control (SCAT) dataset contains detailed data of almost 170,000 flights as well as weather forecasts and airspace data collected from the air traffic control system in the Swedish flight information region. The flight data includes system updated flight plans, clearances from air traffic control, surveillance data and trajectory prediction data. The data is divided into 13 different weeks of data spread over one year. The data is limited to scheduled flights where for example military and private aircraft has been removed from the recorded data.
DOI: 10.17632/4zs8nwcj6b.1
title: Railway Signals Passed At Danger: Bibliometric Dataset

description: Railway Signal Passed At Danger: Bibliometric Dataset
DOI: 10.17632/zw8mtbm5b9.1
title: gym recommendation

description: Overview
This dataset is designed to support a gym recommendation program that provides personalized fitness plans based on individual health profiles and fitness goals. The data includes various attributes that describe users' demographic information, health conditions, fitness goals, and the recommended fitness regimen.

Columns Description
ID: Unique identifier for each user.
Sex: Gender of the user (Male/Female).
Age: Age of the user in years.
Height: Height of the user in meters.
Weight: Weight of the user in kilograms.
Hypertension: Indicates whether the user has hypertension (Yes/No).
Diabetes: Indicates whether the user has diabetes (Yes/No).
BMI: Body Mass Index calculated as weight in kilograms divided by the square of height in meters.
Level: BMI category indicating the user's weight status (e.g., Underweight, Normal weight, Overweight, Obese).
Fitness Goal: The primary fitness objective of the user (e.g., Weight Gain, Weight Loss, Muscle Gain).
Fitness Type: Type of fitness activities recommended for the user (e.g., Cardio, Muscular Fitness).
Exercises: List of recommended exercises tailored to the user's fitness goal and health conditions.
Equipment: List of necessary equipment for the recommended exercises.
Diet: Dietary suggestions to complement the fitness plan.
Recommendation: General advice and guidelines to help the user achieve their fitness goals effectively.
DOI: 10.17632/ysnmgygmmn.1
title: eVIN assessment

description: Electronic Vaccine Intelligence Network (eVIN) assessment was conducted in 12 states (Assam, Chhattisgarh, Gujarat, Jharkhand, Manipur, Nagaland, Odisha, Bihar Himachal Pradesh, Madhya Pradesh, Rajasthan and Uttar Pradesh) where eVIN was launched initially. A pre-post comparison was used on key performance indicators for programmatic assessment. As obtaining data for one-year prior to implementation of eVIN was challenging, therefore, six months period was chosen as the reference period for pre-eVIN phase. The pre-eVIN reference period was of six months for all CCPs, however it varied for different states and districts due to different timeframe of eVIN rollout. The specific duration of pre-eVIN phase are as mentioned: most of the CCPs in a district were covered either in between the period of April 2015 to September 2015 (13 districts), April 2016 to September 2016 (12 districts), October 2015-March 2016 (11 districts) and October 2011- March 2012 (1 district). The post eVIN reference period was from October 2017 to March 2018 for the assessment. Minimum number of CCPs required for the study was calculated to be 502 considering 43% of PHCs reported instances of stock-out, 10% non-response rate and 1.2 design effect. It was further increased to 617 CCPs in order to draw valid conclusions at the state levels. Selection of CCPs in the eVIN states were done using two-stage sampling design. In the first stage, districts were selected followed by selection of CCPs in the second stage. In each eVIN state, number of sampled districts was decided based on Probability Proportion to Size of CCPs. In total 37 districts were selected using systematic random sampling technique after arranging the districts in ascending order based on the proportionate share of cold chain point in the total cold chain point in state. Further, CCPs were randomly selected in each of the selected district. A detailed methodology is available in the larger study document. Quantitative data was obtained using structured questionnaire from CCPs pertaining to stock management, temperature monitoring, cold chain equipment, and documentation aspects of vaccine supply chain. The primary data for pre-eVIN phase was done from stock registers, vaccine distribution registers, temperature log books and other important registers. Completeness and accuracy were analyzed in the assessment. Completeness was seen of Indent form, vaccine stock register, and temperature log book. Accuracy was assessed through stock register and eVIN record, eVIN record and physical count. Computer Assisted Personal Interviewing (CAPI) technique was employed using tablets/mobiles for real-time data collection and data entry.
DOI: 10.17632/77y99kvt9k.1
title: Experimental data for identification of damping and complex modes in structural vibrations

description: The data is described in the file Readme.txt. This data reproduces the results described in the publication: Bajric A., Høgsberg J., Identification of damping and complex modes in structural vibrations, 2017.
DOI: 10.17632/4yrh7v6c46.1
title: References - Adoption and Use of Telemedicine: A Systematic Literature Review and Research Agenda Proposal 

description: References section of the study - Adoption and Use of Telemedicine: A Systematic Literature Review and Research Agenda Proposal
DOI: 10.17632/mgj29ndgrk.1
title: AHQAD: Arabic Healthcare Question and Answer Dataset

description: Numerous language-centric research on healthcare is conducted day by day. To address shortcomings of Arabic natural language generation models, we introduce a large Arabic Healthcare Question and Answer Dataset (AHQAD) of textual data. For this motivation, we named our dataset ‘AHQAD’.
The largest Arabic Healthcare Question and Answer Dataset (AHQAD) as we know was collected from medical website. The AHQAD consists of more than 808k Question and Answer into 90 variety categories. The AHQAD contains one file, and the file description will be discussed here. One file is the actual data which is in Arabic language. This file has Arabic questions, answers and categories.