cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wdbst6rrgw.1
title: Data for: Pharmacy students' level of financial literacy and its differences among students with various career intentions: the case of Hamadan

description: This file contains data related to students' demographics, their responses to questions assessing personal finance and career preferences expressed by them. Variables coding and transformations have been explained in data file. Variables Q2 to Q24 are related to questions assessing financial literacy, which have been ordered so that different questions related to the same dimension come in sequence one after another. Variables named "Transformed Q2" to "Transformed Q24" are their corresponding variables coded based on correctness of the response. Variables with name containing "eliminated ....", such as "First.choice.career.field.eliminated.rare.cases", contains modified data of another related variable with similar name, such as "First.choice.career.field", such that rare cases have been eliminated to avoid misleading statistical results.
DOI: 10.17632/x2gzgm8njh.1
title: Accelerated impurity solver for DMFT and its diagrammatic extensions

description: We present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition function is expanded in terms of the hybridisation function (CT-HYB). ComCTQMC supports both partition and worm-space measurements, and it uses improved estimators and the reduced density matrix to improve observable measurements whenever possible. ComCTQMC efficiently measures all one and two-particle Green's functions, all static observables which commute with the local Hamiltonian, and the occupation of each impurity orbital. ComCTQMC can solve complex-valued impurities with crystal fields that are hybridized to both fermionic and bosonic baths. Most importantly, ComCTQMC utilizes graphical processing units (GPUs), if available, to dramatically accelerate the CTQMC algorithm when the Hilbert space is sufficiently large. We demonstrate acceleration by a factor of over 600 (100) in a simulation of δ-Pu at 600 K with (without) crystal fields. In easier problems, the GPU offers less impressive acceleration or even decelerates the CTQMC. Here we describe the theory, algorithms, and structure used by ComCTQMC in order to achieve this set of features and level of acceleration.
DOI: 10.17632/j45dj8bgfc.1
title: Smoker Detection Dataset

description: The dataset contains 1120 images divided equally into two classes, where 560 images are of Smoking (smokers) and remaining 560 images belong to NotSmoking  (non-smokers) class. The dataset is curated by scanning through various search engines by entering multiple keywords that include cigarette smoking, smoker, person, coughing, taking inhaler, person on the phone, drinking water etc. We tried to consider versatile images in both classes for creating a certain degree of inter-class confusion in order to better train the model. For instance, Smoking class contains images of smokers from multiple angles and various gestures. Moreover, the images in NotSmoking class consists of images of non-smokers with slightly similar gestures as that of smoking images such as people drinking water, using inhaler, holding the mobile phone, coughing etc. The dataset can be used by the prospective researchers to propose deep learning algorithms for automated detection and screening of smoker towards ensuring the green environment and performing surveillance in smart cities. All images in the dataset are preprocessed and resized to a resolution of 250×250. We considered 80% of the data for training and validation purposes and 20% for the testing.

Please cite this article if you use this dataset in your research:
A. Khan, S. Khan, B. Hassan, and Z. Zheng, “CNN-Based Smoker Classification and Detection in Smart City Application,” Sensors, vol. 22, no. 3, pp. 892, 2022.
DOI: 10.17632/brwkdrvs6j.1
title: 디지털 문맹자 선별 기반의 스마트 키오스크 시스템 구현에 관한 연구

description: 최근 수년간 기술의 급속한 발전은 특히 인공지능과 컴퓨터 비전 분
야에서 두드러지고 있다. 얼굴 인식과 음성 인식 기술이 크
게 발전했습니다. 이러한 기술의 발전은 특히 디지털 문맹자를 위
한 키오스크 시스템 분야에 새로운 가능성을 열어주고 있다. 비대면
사회로의 전환에서 키오스크 사용의 여러 문제점을 해결하기 위해,
얼굴인식 기술을 활용한 디지털 문맹자 선별이 가능한 스마트 키오
스크 시스템을 제안한다. 이러한 베리어프리 키오스크는 모든 사용자
가 편리하게 이용할 수 있도록 설계되었으며, 주요 특징으로는 접근
성, 다양한 사용자 인터페이스, 터치스크린, 글꼴 크기 및 색상 설정
기능 등이 포함된다. 이 기능들은 시각적 또는 운동 능력이 다양한
사용자들을 고려하여 설계되었다. 이 키오스크는 위생적인 비대면 서
비스를 제공함으로써 사용자에게 높은 편의성을 제공하고, 동시에 디
지털 소외 계층에게 디지털 서비스 접근의 기회를 제공한다. 이 연구
의 핵심 목표는 얼굴 인식 기술과 결합하여 사용자 친화적인 디지털
문맹자 선별이 가능한 스마트 키오스크 시스템의 구현을 탐구하는
것이다.

또한, 디지털 문맹자 선별이 가능한 키오스크의 자동화는 효율성을
크게 향상시킬 가능성을 제시한다. 각종 서비스 콘텐츠 제공 등의 기
능을 통해 키오스크가 다양한 상황에 빠르게 대응할 수 있는 장점을
제공한다. 이는 디지털 문맹자나 손이 불편한 사용자들을 포함한 넓
은 범위의 사용자들에게 접근성 측면에서 정보 전달의 기회를 제공
하며, 사회적 포용성을 높이는 방안 중 하나이다.

본 연구에서는 DeepFace 라이브러리를 사용하여 얼굴 인식과 감정
인식을 구현하였으며, 5,000개의 이미지로 구성된 데이터셋을 분석하
여 사람의 평가와 알고리즘이 감지한 감정 간의 일치율을 조사하였
다. 특히, 디지털 문맹을 나타낼 수 있는 놀람과 화남의 감정에 초점
을 맞추었다. 연구 결과, 놀람 감정의 일치율은 67.9%, 화남 감정의
일치율은 79.74%로 나타났다. 디지털 문맹자 판단은 키오스크 앞에
서의 체류 시간을 1차로 측정하여 5초 이상이면 디지털 문맹자로 간
주하고, 2차적으로는 나이(50세 이상), 감정(화남, 놀람), 눈동자 움직
임(F패턴, Z패턴)을 고려하여 순서대로 가중치를 부여하여 판단하는
순서도를 작성하였다. 이는 감정 인식을 디지털 문맹의 지표로 사용
할 수 있는 가능성을 시사한다.

마지막으로, 기술의 지속적인 발전과 얼굴 및 음성 인식 기술의 성숙
화는 이러한 연구를 더욱 타당하게 만들며, 딥러닝과 DeepFace 분야
의 혁신적인 발전은 정확하고 효과적인 얼굴 인식 시스템을 통해 키
오스크 혁신을 뒷받침한다. 이러한 연구 배경과 필요성을 고려할 때,
디지털 문맹자 선별이 가능한 스마트 키오스크 시스템은 향후 도시
환경에서 디지털 약자 및 일반인을 포함한 다양한 사용자에게 정보
전달 및 시각적 효과 제공에 혁신적이고 효율적인 해결책을 제시할
수 있는 중요한 연구 주제로 확인된다.
DOI: 10.17632/d57wxwgt4w.1
title: A Real-World Test Distribution System with Appliance-Level Load Data for Demand Response and Transactive Energy Studies

description: [1] F. B. dos Reis, R. Tonkoski, B. Bhattarai, and T. M. Hansen, “A Real-World Test Distribution System with Appliance-Level Load Data for Demand Response and Transactive Energy Studies,” IEEE Access, 2021.

Please read the README.pdf file.

Paper abstract:
Research on demand response and transactive energy systems often require granular, appliance-level demand data. However, there is no existing test system with such appliance-level data with proper temporospatial diversity in a realistic distribution system. This paper develops a 240-node real distribution test system with appliance-level demand data for responsive loads. The residential appliance-level demand data are derived from smart meters connected to 1,120 homes in a real distribution system from Iowa State, hereafter called Midwest 240-Node test distribution system. A queueing load model was used to derive the appliance-level data from the smart meter data. The Midwest 240-Node test distribution system provides granular appliance-level information for all homes in the distribution system (i.e., individual appliances that constitute the home load), and the aggregate of all customer load emulates the actual smart meter data. The performance of the Midwest 240-Node test distribution system is evaluated by comparing the aggregated appliance-level demand with the actual measured smart meter data from the utility. The one-year appliance data has a mean absolute percentage error of 2.58 % compared to the measured smart meter data. The test system is modeled in OpenDSS and GridLAB-D and is openly available to researchers to enable demand response and transactive energy studies with active end-users.
DOI: 10.17632/t3cymhc926.1
title: The impact of ChatGPT Integrated Instruction on Students' Research Skills: The mediating effects of autonomous motivation, engagement, and self-directed learning

description: This is the data that contains the post experiment results of the study. It contains data from control as well experiment groups.
DOI: 10.17632/2w26nwmbc6
title: Title A review of Complaints, Significant Untoward Incidents, and Litigation at a Tertiery Maternity Hospital.

description: This dataset compares significant untoward incidents, complaints, and litigation in a major tertiery hospital.
DOI: 10.17632/hthr564wcc.1
title: 2021 Annual Report of DataDerm – Mendeley Hyperlink

description: This document contains the Mendeley Hyperlink for the following manuscript:  
Marta VanBeek, MD, MPH, Robert A. Swerlick, MD, Barbara Mathes, MD, Margo J. Reeder, MD, Toni Kaye BS, MPH, Arik Aninos BS, MSc, Mason Totaro, BS, Alyssa Burns, MHA, Matthew Fitzgerald, MPH, DrPH, Caryn D. Etkin, PhD, MPH, Jeffrey P. Jacobs, MD.  2021 Annual Report of DataDerm: The Database of The American Academy of Dermatology (AAD)
DOI: 10.17632/89yxn7hmpt.1
title: Online games marketplace Steam app data (with games genres) and player data for a community market potential analysis.

description: Data retrieved from the Steam API and Steam Storefront, modeled to be a graph between steam apps (games and dlcs) and steam players (steamids which have been anonymized).

There are four .json files in this dataset:

steam_reviews.json - contains the steam reviews of each steam app (the primary key of the json) with a 'total_reviews' and 'total_positive' fields, the total number of reviews and the total number of positive reviews, a 'recommendations' field with a nested object value which contains the reviews, with primary key the recommendation id (which is anonymized) , which has another nested object value that has the steamid of the reviewerr (anonymized), the total amount of minutes played by the reviewer, the unix timestamp date of creation of the review, the unix timestamp date of when the review was last updated, if it was a steam purchase and if it was and up vote.
The syntax of the json is as follows:

{
 "53535": {
 "total_reviews": 33,
 "total_positive": 31,
 "recommendations": {
 "15664": {
 "steamid": 5564,
 "playtime_forever": 210,
 "timestamp_created": 1724691423,
 "timestamp_updated": 1724691472,
 "received_for_free": false,
 "steam_purchase": true,
 "voted_up": true
 }
 }
 }
}
appdetails.json - Taken from the Steam API. Has the appid as the key to a nested object which contains the release_date, the type of the app (game or dlc), if it has a demo and if it's in Early Access.

{
 "2698870": {
 "release_date": "Q4 2024",
 "type": "game",
 "has_demo": false,
 "is_early_access": false
 }
}

app_tags.json - contains the webscraped data from a steam app page. The 'total_reviews' and 'total_positive' and 'release_date' fields were taken merely for comparison with the steam API. The webscraper checked if the game offered a demo and if the game was in Early Access and also webscraped the the app's community's most popular defined tags (here interpreted as the game's genre).

{
 "950271": {
 "total_reviews": null,
 "total_positive": null,
 "release_date": "3 Oct, 2018",
 "has_demo": null,
 "is_early_access": null,
 "popular_tags": [
 "Free to Play",
 "RPG",
 "Massively Multiplayer"
 ]
 }
}

player_details.json - For each steamid captured from player_details.json, has the steamid's 'friendlist' field with nested json value with keys 'friendid', also a steamid, and the Unix timestamp of the time when the relationship was created and a 'gamelist' another field with a nested json value with keys the appid and value the number of minutes played of that game.

{
 "2505980": {
 "friendlist": {
 "5441285": 1726758665,
 "5276078": 1714141644
 }
 "gamelist": {
 "4000": 982,
 "500": 318
 }
 }
}
DOI: 10.17632/gx8xv3nc7f.1
title: Rhino avoiding people raw data

description: To study the role that oxpeckers might play in helping rhino evade humans, we recorded the number of oxpeckers seen on two groups of the rhinos we encountered. We predicted that if oxpeckers were acting as anti-human sentinels for rhino, then tagged rhino (fitted with horn-implant radio-transmitters), where radiotelemetry allowed us to avoid oxpecker and/or rhino detection, ought to have more oxpeckers present during encounters compared to encounters with untagged rhino, where radio-telemetry could not be used to avoid detection. Conversely, without the aid of radiotelemetry to avoid detection, we predicted that we ought to be much less successful at detecting untagged rhino we encountered if they had oxpeckers present, and so untagged rhino encountered ought to have much fewer oxpeckers. Our searches resulted in 100 encounters with tagged rhino (using radiotelemetry) and 100 encounters with untagged rhino made between April 2007 to July 2009. We found that tagged rhino carried the bird on their backs more than half the time (56%). The untagged black rhinos we found, carried no oxpeckers most of the time (17%). This raw data set consists of 4 worksheets detailed below: 1. Oxpecker number on tagged rhino: 100 encounters with rhino ID, dates, time and oxpecker number. 2. Oxpecker number on untagged rhino: 100 encounters with rhino ID, dates, time and oxpecker number. 3. Extra data for oxpecker on tagged rhino (186 encounters, 94 with oxpeckers /186=51% tagged rhino encounters with oxpeckers): during review, we included an additional 86 encounters with tagged rhino to show that oxpecker presence/number remained consistently above 50% on tagged rhino, suggesting that oxpecker presence on the general rhino population is around 50% of the time. 4. Sex differences with oxpecker number on untagged rhino: we compared the oxpecker number on male and female untagged rhino to see if there were sex differences. We found no significant difference.
DOI: 10.17632/myrb2gky8w.1
title: Modern Standard Arabic Mood Changing and Depression Dataset

description: This paper presents Modern Standard Arabic data for the automatic estimation of the risk of depression for online personas based on their daily Arabic tweets. The data was collected during 1-1-2020 and 1-1-2021 using automatically collecting samples of depression and non-depression tweets. The data contains 1230 records. This data can be used to develop machine learning tools to identify the risk of an individual being depressed and to build recommender systems that monitor depression.
DOI: 10.17632/ttpd8zrj4n.1
title:  Nelson and Plosser original data set 

description: The data set was used in 'Trends and Random Walks in Macroeconomic Time Series; Some Evidence and Implications' by Charles R. Nelson and Charles I. Plosser published in the Journal of Monetary Economics.
DOI: 10.17632/r3ss3v53sj.1
title: Video Inter-Frame Forgery Detection

description: This data-set was used in experiments of the paper "Detecting Video Inter-Frame Forgeries Based on Convolutional Neural Network Model"
DOI: 10.17632/t4dvkhy4vy.2
title: Properties of the Chromatin Fiber Sampled from Molecular Biosystems Simulations

description: This data set contains properties of the chromatin fiber sampled from molecular biosystems simulations and is created to support a manuscript "Submolecular-resolution 3D Simulations of the Oct4 Promoter Region Predict Structural Mechanism of Heterochromatin Formation". The included properties are radius of gyration (Rg_Mean), number of HP1-mediated inter-nucleosome bridges (nBridges_Mean), average size of HP1-mediated loops (mBRIDGE_loop_Mean). Each value is a mean over 100 simulation snapshots.
DOI: 10.17632/2c6vy2px9y.1
title: DNS, LES, and URANS reference raw data of laryngeal transitional flow

description: This dataset can be considered as reference data for the simulation of transitional flow in laryngeal flow. In this dataset, hdf5, ASCII, and movie files are provided. The hdf5 is 2D planes, whereas the ASCII files represent the time average of line cuts and instantaneous values of flow parameters at certain probes. These probes are certain locations in the computational domain used to record the flow parameters at each time step. In total, there are 27 probes at different locations.
DOI: 10.15468/dl.fjmdwx
title: Occurrence Download

description: A dataset containing 5021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Suriname",
 "RecordedBy is one of (F.W.R. Hostmann, F.W.R. Hostmann & A. Kappler, F.W.R. Hostmann;,Hostmann, F.W.R. Hostmann (ex herb. M.J. Berkeley), F.W.R. Hostmann 253 (ex herb. Hooker), W.R. Hostmann, W.R. Hostmann & A. Kappler, W.R. Hostmann;August Kappler, HOSTMANN & KAPPLER, Hostmann & Kappler, Hostmann et Kappler, HOSTMANN, Hostmann, Hostmann (Dr.); [E. R. F. Hahemacker], Hostmann (ex herb. Hooker), Hostmann FWR, Hostmann FWR; Hohenacker RF, Hostmann FWR; Kappler A, Hostmann W.R., Hostmann, F. W. R., Hostmann, F. W. R.; Kappler, A. K., Hostmann, F.W.R., A. Kappler, A. Kappler & -. Hohen, A. Kappler & R. F. Hohenacker, A. Kappler & W. R. Hostmann, A. Kappler., A. Kappler;,Kappler, A. kappler, KAPPLER, Kappler, Kappler & Hostmann, Kappler A, Kappler A (no. 1332), Kappler A (no. 1357), Kappler A., Kappler A; Hostmann FWR, Kappler August, Kappler [Hostmann?], Kappler, A, Kappler, A., Kappler, A. (no. 1300), Kappler, A. (no. 1356), Kappler, A. (no. 1365), Kappler, A. (no. 1366))"
 ]
}

 The dataset includes 5021 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009241-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sykvt47m77.1
title: Validity evidence for the Family Role Overload Scale

description: Participaram desse estudo 640 trabalhadores brasileiros, de ambos os sexos. Os dados foram coletados por meio de questionários aplicados totalmente online, por meio do Google Forms, em trabalhadores contatados por meio das redes sociais dos pesquisadores e acessados via WhatsApp, e-mail, Facebook, Instagram ou LinkedIn. O tempo aproximado de preenchimento dos questionários foi de 20 minutos.
DOI: 10.17632/hh85zcykcn.1
title: Pet provision by homelessness service providers

description: UK data collected 2016. Pet policies of homelessness service providers and reason for policies. Online questionnaire.
DOI: 10.17632/rtkvc3r743.1
title: Hermes-3: Multi-component plasma simulations with BOUT++

description: A new open source tool for fluid simulation of multi-component plasmas is presented, based on a flexible software design that is applicable to scientific simulations in a wide range of fields. Hermes-3 is built on plasma simulation framework BOUT++, consolidating earlier SD1D and Hermes models into a single code that can be configured at run-time to solve plasma models in 1D, 2D or 3D, either for transport (steady-state) or turbulent (time-evolving) problems, with an arbitrary number of ion and neutral species. We describe the improved numerical algorithms and software design that have been implemented in Hermes-3. To demonstrate the capabilities of this tool, applications relevant to the boundary of tokamak plasmas are presented: 1D simulations of diveror plasmas evolving equations for all charge states of neon and deuterium; 2D transport simulations of tokamak equilibria in single-null X-point geometry with plasma ion and neutral atom species; and simulations of the time-dependent propagation of plasma filaments (blobs). Hermes-3 is publicly available on Github under the GPL-3 open source license. The repository includes documentation and a suite of unit, integrated and convergence tests.
DOI: 10.17632/jck5fv7rdr.1
title: Patient records with Comorbidity

description: These datas are collected only for Research purposes.
DOI: 10.17632/tb4sv343wz.1
title: Data for: Extraction of tetracycline in food samples using biochar microspheres prepared by a Pickering emulsion method

description: some data of the manuscript“Extraction of tetracycline in food samples using biochar microspheres prepared by a Pickering emulsion method”
DOI: 10.17632/frn9j7wvr2.1
title: Exercise physiology in pulmonary hypertension patients with and without congenital heart disease

description: BACKGROUND: Cardiopulmonary exercise testing allows the assessment of integrative cardiopulmonary response to exercise. AIMS: The aim of the study was to better understand the exercise physiology in pulmonary arterial hypertension related to adult congenital heart disease compared to non-adult congenital heart disease patients by means of cardiopulmonary exercise testing parameters. METHODS: The present is a multicentre retrospective study which includes pulmonary hypertension group 1 and group 4 patients. All subjects underwent full clinical and instrumental evaluation, including cardiopulmonary exercise testing and right heart catheterization. RESULTS: One hundred and sixty-seven pulmonary hypertension patients (93 women and 74 men, 57 adult congenital heart disease and 110 non-adult congenital heart disease) were enrolled. Adult congenital heart disease patients had higher pulmonary pressure (mean pulmonary arterial pressure: 59.8 ± 19.5 mmHg vs 44.6 ± 16.5 mmHg, p
DOI: 10.17632/47fnv3bs3x.1
title:  Boost your Data transmission speed with SC-SC Fiber Optic Patch Cord by gbic-shop

description: Having problems with your old Fiber Optic Patch Cord , Don’t worry we have solution for all kind of your networking needs. Gbic-shop  offers SC-SC fiber optic patch cord for reliable and high-speed connectivity. Our patch cord are made with high quality material. In gbic-shop you can buy fiber optic patch cords according to your needs. We have  wide range and lengths available in fiber optic patch cords. To buy your product, go check out www.gbic-shop.de. We offers high performance networking  solutions.
DOI: 10.17632/w3pdg22jy3.1
title: Transactional BMS-WebView-1

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 59009
Number of items : 494
Minimum Transaction Size : 1
Average Transaction Size : 2.506905726245149
Maximum Transaction Size : 267
Standard Deviation Transaction Size : 4.85639744860628
Variance in Transaction Sizes : 23.584995863553335
Sparsity : 0.9949252920521353

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/7t964jmmy3.1
title: TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset

description: The "TeaLeafAgeQuality" dataset is curated for tea leaf classification, detection and quality prediction based on leaf age. This dataset encompasses a comprehensive collection of tea leaf images categorized into four classes corresponding to their age-based quality:

Category T1: Age 1 and 2 days, representing the highest quality tea leaves. (562 Raw Images)
Category T2: Age 3 to 4 days, indicating good quality tea leaves. (615 Raw Images)
Category T3: Age 5 to 7 days, indicating average or below-average quality tea leaves. (508 Raw Images)
Category T4: Age 7+ days, denoting tea leaves unsuitable for brewing drinkable tea. (523 Raw Images)

Each category includes images depicting tea leaves at various stages of their age progression, facilitating research and analysis into the relationship between leaf age and tea quality. The dataset aims to contribute to the advancement of deep learning models for tea leaf classification and quality assessment.

This dataset comprises three versions: the first is raw, unannotated data, offering a pure, unmodified collection of tea leaves collected from the different tea gardens located at Sylhet, Bangladesh. The second version includes precise annotations, classified into four categories: T1, T2, T3, and T4, for targeted analysis. Finally, the third version contains both annotated and augmented data, enhancing the dataset for more advanced research applications. Each version caters to different levels of data analysis, from basic to complex.