cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wnshbvdxs2.1
title: An EEG Recordings Dataset for Mental Stress Detection

description: This article presents an EEG dataset collected using the EMOTIV EEG 5-Channel Sensor kit during four different types of stimulation: Complex mathematical problem solving, Trier mental challenge test, Stroop colour word test, and Horror video stimulation, Listening to relaxing music. The dataset consists of EEG recordings from 22 subjects for Complex mathematical problem solving, 24 for Trier mental challenge test, 24 for Stroop colour word test, 22 for horror video stimulation, and 20 for relaxed state recordings. The data was collected in order to investigate the neural correlates of stress and to develop models for stress detection based on EEG data. The dataset presented in this article can be used for various applications, including stress management, healthcare, and workplace safety. The dataset provides a valuable resource for researchers and developers working on stress detection using EEG data, while the stress detection method provides a useful tool for evaluating the effectiveness of different stress detection models. Overall, this article contributes to the growing body of research on stress detection and management using EEG data and provides a useful resource for researchers and practitioners working in this field.
DOI: 10.17632/37pm7jk7jn.2
title: The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level

description: Non-invasive monitoring and surveillance methods of blood glucose measurement can provide ease of use and simplicity for different individuals while reducing the risks and damages of invasive methods. The non-invasive method based on photoplethysmography (PPG) signal is one of the innovative methods on this topic which numerous studies have been conducted by research centers and various companies. However, due to various reasons, the reviewed dataset was not available and no standard dataset has been published on this topic. The presented dataset, which was sampled by the research team of the digital systems of the University of Science and Technology in Mazandaran, Behshahr, Iran, includes 67 raw PPG signals with 2175 Hz sampling frequency along with labeled data: age, gender, and the invasive blood glucose level which can be used in other studies and learning algorithms.
DOI: 10.17632/g7fpgj57wc.1
title: Betel Leaf Image Dataset from Bangladesh

description: This dataset presents collection of images focused on betel leaves, aimed at categorizing them into four distinct conditions: healthy, dried, afflicted by bacterial disease, and suffering from fungal brown spot disease. Captured in Camperhat, Raipur, Lakshmipur, Bangladesh, this collection underscores a meticulous approach to data gathering for disease identification and classification in betel leaves.

Organized into two primary folders, Original and Augmented, the dataset contains a total of 3589 images. The Original folder houses 1000 images, evenly distributed across the four leaf conditions to ensure a balanced representation. The Augmented folder, on the other hand, expands this dataset to include 2589 images, which are then divided into training (2388 images) and testing (201 images) subsets. This structure is designed to support the training of both deep learning and machine learning algorithms, with a clear aim towards the precise classification and recognition of the various states of betel leaf health.
DOI: 10.17632/5cjmzj9jwm.1
title: TBPLaS: A tight-binding package for large-scale simulation

description: TBPLaS is an open-source software package for the accurate simulation of physical systems with arbitrary geometry and dimensionality utilizing the tight-binding (TB) theory. It has an intuitive object-oriented Python application interface (API) and Cython/Fortran extensions for the performance-critical parts, ensuring both flexibility and efficiency. Under the hood, numerical calculations are mainly performed by both exact diagonalization and the tight-binding propagation method (TBPM) without diagonalization. Especially, the TBPM is based on the numerical solution of the time-dependent Schrödinger equation, achieving linear scaling with system size in both memory and CPU costs. Consequently, TBPLaS provides a numerically cheap approach to calculate the electronic, optical, plasmon and transport properties of large tight-binding models with billions of atomic orbitals. Current capabilities of TBPLaS include the calculations of band structure, density of states, local density of states, quasi-eigenstates, optical conductivity, electrical conductivity, Hall conductivity, polarization function, dielectric function, plasmon dispersion, carrier mobility and velocity, localization length and free path, topological invariant, wave-packet propagation, etc. All the properties can be obtained with only a few lines of code. Other algorithms involving tight-binding Hamiltonians can be implemented easily due to the extensible and modular nature of the code. In this paper, we discuss the theoretical framework, implementation details and common workflow of TBPLaS, and give a few demonstrations of its applications.
DOI: 10.17632/y5662dvjgm.2
title: Deep learning ensembles of Long Short-Term Memory Networks to predict ammonia dynamics for aeration control in WWTPs: AdaBoost versus Bagging

description: This data article provides the data set and all the codes for the study. The dataset is the ammonia nitrogen concentration of the aerobic tank in the wastewater treatment plant, which was recorded every 2 minutes from 04 July 2022 to 2010 July 2022, with a total of 5041 samples. The codes included the Adaboost and Bagging techniques, LSTM, CNN-LSTM and the seasonal decompose function.
DOI: 10.17632/3t9vbwxgr5.3
title: Music Dataset: Lyrics and Metadata from 1950 to 2019

description: This dataset was studied on Temporal Analysis and Visualisation of Music paper, in the following link: https://sol.sbc.org.br/index.php/eniac/article/view/12155 This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, danceability, loudness, acousticness, etc. We also provide some informations as lyrics which can be used to natural language processing. The audio data was scraped using Echo Nest® API integrated engine with spotipy Python’s package. The spotipy API permits the user to search for specific genres, artists,songs, release date, etc. To obtain the lyrics we used the Lyrics Genius® API as baseURL for requesting data based on the song title and artist name.
DOI: 10.17632/3yrkswy6ph.2
title: KurdiSent: A Corpus For Kurdish Sentiment Analysis 

description: The Kurdish language is regarded as one of the less-resourced languages.  The language is globally practised by 30-40 people. The language has 33 letters that are largely similar to the Arabic language.  The Kurdish language has two major dialects Sorani and Badini. The dataset includes a collection of texts written in the Sorani dialect. It contains  tweets the Twitter API. Due to security reasons and following the policies of Twitter, we removed the user's identity. We collected the tweets which was published during the time of the Corona Virus pandemic. The tweets are raw texts, and the content covers a varied range of topics, starting from politics, sports, entertainment, social life, etc. 
Data Labeling 
We used the Twitter developer (Twitter API) to mine the tweets. The dataset was annotated manually by three Kurdish native speakers. The annotators were required to identify the classes and categories of each text. The classes included positive, negative and neutral and the categories consisted of news, technology, art, social and health. The texts which were agreed upon by at least two annotators to possess a specific label and category were regarded as conflict-free and accepted for further processing. Other texts that caused conflict among all three raters were ignored and have been removed from the dataset.  The doccano program was used to help the annotators label each text one by one.
DOI: 10.17632/44p8v6ywsm.1
title: Healthy and Unhealthy Papaya Leaf Images from Bangladeshi Orchards

description: Papaya is a valuable but disease-prone crop, with leaf diseases significantly impacting fruit quality and yield, posing financial challenges to producers. A comprehensive dataset of high-resolution images, capturing various leaf diseases in different stages and conditions, has been assembled to facilitate the development of a model for real-time disease detection. The dataset includes 1,400 raw images and 6,618 augmented images, categorizing leaves as healthy or affected by one of five diseases: Leaf Curl, Papaya Mosaic, Ring Spot, Mites, or Mealybug. This initiative aims to enable early disease identification, allowing producers to implement preventative measures and minimize economic losses.
DOI: 10.17632/gcbr3tyjvc.1
title: Data for: Study on the impact resistance of polyurea-steel composite plates to low velocity impact

description: The deformation of the impacted plates and the ture stress strain relationship of polyurea are presented in the data.
DOI: 10.17632/kxsbr4x3j2.2
title: Experimental data of three lithium-ion batteries under galvanostatic discharge tests at different C-rates and operating temperatures

description: Hardware: • Arbin Instruments LBT21024 and Arbin measurement system; • IncuMax IC-500R thermal chamber Arbin Instruments LBT21024; • T-type thermocouple sensor, Omega. Software: • MITS Pro software and Data Watcher. The Arbin system supplies the user-defined current to the battery and measures voltage and surface temperature responses. Once the battery is fully charged (after the CC-CV protocol), a galvanostatic discharge profile is applied until the voltage cutoff limit is reached (2.5V for NCA and NMC, 2V for LFP chemistry). The type-T thermocouples are placed at the center location and measure the battery skin temperature. The ambient temperature is controlled by the user via the thermal chamber.
DOI: 10.17632/6g59d5sj5s.1
title: Application of Biomonitoring of Air-Suspended Metals Pollutant and Enrichment Factor Analysis for Source Identification of Metals from roadside in Phitsanulok municipality, Thailand

description: Supplementary data for ScienceAsia
DOI: 10.17632/g97jb8fp57.1
title: Códigos de CEP do Brasil por UF, CIDADE, BAIRRO E LOGRADOURO (Brazil ZIP CODES)

description: Tabela de dados com a unificação de códigos de CEP atualizado até 2018. Fonte: http://cep.la/baixar CAMPOS: CEP, UF, CIDADE, BAIRRO, LOGRADOURO ________________________________________________________________ Unified table of ZIP codes updated until 2018. Source: http://cep.la/baixar FIELDS: ZIP, UF, CITY, BAIRRO, LOGRADOURO
DOI: 10.17632/2vgbsysz29.1
title: Traffic and Weather Datasets

description: The PeMS traffic datasets have been collected by the California Transportation (Caltrans) agency for 30-second granularity, and the raw and aggregated data are publicly available on their website (https://pems.dot.ca.gov/?dnode=Clearinghouse&type=meta&district_id=7&submit=Submit). We have gathered 5-minute aggregated vehicular traffic state (i.e traffic speed) dataset for district four and seven of California for 2022.

We have used Bing Distance Matrix API to compute a driving distance between each sensor. The API can be used to compute a driving distance between a single source or multiple sources and source or multiple destinations at once.

In addition, the weather datasets have been collected from https://www.visualcrossing.com/weather/weather-data-services and the datasets have one-hour granularity, and we have only removed some of the unnecessary columns.
DOI: 10.17632/xvpg382v9r.1
title: Cutaneous manifestations of misuse of androgenic anabolic steroids: A retrospective cohort study

description: Online Supplement
DOI: 10.17632/fxtxsprgxz.1
title: The macrofinancial effects of international bank lending on emerging markets - Replication files

description: Replication files for the paper "The macrofinancial effects of international bank lending on emerging markets", by I. Aldasoro, P. Beltran, F. Grinberg and T. Mancini-Griffoli, Journal of International Economics.
DOI: 10.17632/3ysxv3z63k.1
title: PROGRAM STUDI MANAJEMEN KOMUNIKASI FAKULTAS ILMU SOSIAL DAN ILMU POLITIK

description: uas manajemen krisis tentang krisis Aqua akibat seruan boikot produk prancis
DOI: 10.17632/3dzn5rstwx.1
title: Mexican Sign Language's Dactylology and Ten First Numbers -Raw videos. Person #11

description: The following data set has 10 raw recordings of 1 person (anonymously classified as person 11) performing Sign Language and the First Ten Numbers of Mexican Sign Language. It is worth mentioning that 5 recordings were made with the right hand and 5 with the left hand.
DOI: 10.17632/m9fzbpt7g6.1
title: Dataset for: Portable housing: An alternative housing solution in Kumasi, Ghana

description: This dataset contains CSV files of raw data gathered from two groups of respondents, as well as a MS-Word document showing the frequency distribution, and  descriptive statistics obtained from the IBM SPSS software analysis. Links to the Google forms are also included.
DOI: 10.17632/gxwhctjcy8.1
title: Dataset on Self-Employed Youths’ Financial and Retirement Literacy

description: This dataset captures self-employed youth’s financial and retirement literacy levels, including their awareness, knowledge, and capability levels, on top of demographics. The data is available in Excel format. A total of 300 responses were recorded where 54 questions were asked in the survey ranging from demographic information to savings behaviour. The data is rich and usable to analyse relationships that govern financial literacy and retirement readiness in a still niche but rapidly expanding group of workers in an emerging economy like Malaysia. Further, the data can also be compared across countries given that the survey questions were adapted from OECD’s 2011 Measuring Financial Literacy: Questionnaire and Guidance Notes for Conducting an Internationally Comparable Survey of Financial Literacy.
DOI: 10.17632/yy8z83txkp.1
title: Factors Affecting the Accuracy, Compliance and Confidence of Eyewitness Testimony Within the Criminal Justice System

description: Eyewitness testimony is a compelling form of evidence that is heavily relied on within the Criminal Justice System. The following study focused on eyewitness testimony and understanding influential factors and the implications this can have on its reliability. This study aimed to explore the relationship between demographic information and personality and its impact on compliance, accuracy and confidence and the effects this has on eyewitness testimony. Using a sample of 174 participants, a multiple, ordinal and multinomial regression were conducted. The research methods include collecting demographic information which was followed by Eysenck’s Personality Questionnaire Revised (164), the Gudjonsson Compliance Scale (1997), an identification video and a Likert scale measuring confidence. The results of this study found that females were more accurate in their testimonies and that personality influenced compliance levels. This has important implications for investigative procedures as it is important to recognise that males may produce less accurate testimonies and t that some personality types are more compliant than others. Policymakers should ensure this information is recognised and introduce measures to increase accuracy and reduce compliance levels. Future research should seek to utilise a different personality measure to discover the particular personality types that are more compliant than others so that this can be minimised.
DOI: 10.17632/d4xt63mgjm.1
title: Common Carotid Artery Ultrasound Images

description: The dataset consists of aquistified ultrasound images of the common carotid artery. The images were taken from a Mindary UMT-500Plus ultrasound machine with an L13-3s linear probe. The study group consisted of 11 subjects, with each person examined at least once on the left and right sides. 2 subjects were examined using the vascular modality and 8 using the carotid modality. Time series (DICOM) were converted to png files and cropped appropriately. Each person had 100 images, making a total of 1100 images. The dataset also includes corresponding expert masks (corresponding file name) made by a technician and verified by an expert. The collection can be used for carotid artery segmentation and geometry measurement and evaluation. 

Image resolution: 709 x 749 x 3 
Number of images: 2200 
File format: PNG
DOI: 10.17632/cxj54s8v5m.1
title: Data for: The role of question format for the support for national climate change mitigation policies in Germany and the determinants of WTP

description: Abstract of associated article: This contingent valuation survey examines the willingness to pay (WTP) for climate change mitigation in Germany. Willingness to pay is assessed by using a classic dichotomous choice referendum format and a two-way payment ladder in a split-sample design. We find that mean WTP under the referendum format is more than twice the WTP in the payment ladder format, but median WTP does not differ. Moreover, we test the possible effect of different determinants on WTP. Determinants that considerably influence WTP are personal norm, climate change scepticism, agreement with the German Renewable Energy Law and individualistic cognition. Income and gender are also important predictors.
DOI: 10.17632/p7bk9dmynx.1
title: Positive Youth Development Programs applied in the educational context: a Systematic Review

description: Seed database and processed database of the systematic review entitled "Positive Youth Development Programs applied in the educational context: a Systematic Review".
    - PRISMA 2020 protocol.
    - Research questions: Do PYD programs implemented in educational contexts consider the theoretical approach and key issues to ensure their success? What is the level of evidence of articles presenting results of these PYD programs? What is the impact of these PYD programs on developmental elements and continued schooling?
    - Information sources: WoS, Scopus, ERIC, PsycINFO and PubMed (last consultation 14/11/2020).
    - Inclusion criteria: 1.articles on PYD programs  2.program applied in educational context  3.program evaluated.
    - Exclusion criteria: 1. multiple publications on longitudinal studies of the same program.
    - Studies included in review n=10.
    - Reports of included studies n=15.
DOI: 10.17632/8bybzz2dv2.1
title: UC radiomics

description: radiomics features
DOI: 10.17632/f4k2gytbh5.1
title: Genome-Wide Detection of Imprinted Differentially Methylated Regions Using Nanopore Sequencing_Akbari-etal

description: This zip file includes histone modifications and DNA methylation track files created in our work "Genome-Wide Detection of Imprinted Differentially Methylated Regions Using Nanopore Sequencing".
DOI: 10.17632/rf97xmd6nm.1
title: Therapy Dogs and School Well-Being: A Qualitative Study

description: Data extracted through a qualitative questionnaire about the impacts and important implementation factors for implementing therapy dog AAIs for students in K-12 school settings.
DOI: 10.17632/w8hyd9yc7f.1
title: Data for: Righting a Wrong: Retaliation on a Voodoo Doll Symbolizing Abusive Supervisor Restores Justice

description: Data for: Righting a Wrong: Retaliation on a Voodoo Doll Symbolizing Abusive Supervisor Restores Justice Study 1 data NoUse: 2 participants indicated that they don’t want us to use their data (0 = use; 1 = do not use) Cond1_MC: Participants in AS/Retaliation condition who did not retaliate (0 = missing data; 1 = include; 2 = exclude) Cond2_MC: Participants in AS/NoRetaliation condition didn't treat the doll as Nobody (0 = missing data; 1 = include; 2 = exclude) x: Condition (0 = control; 1 = AS/Retaliation; 2 = AS/NoRetaliation) x_d1: Dummy AS/Retaliation x_d2: Dummy AS/NoRetaliation c1: Comply AS/Retaliation (n = 9) c2: Comply AS/NoRetaliation (n = 24) y: Injustice ratio Age: Age in years Gender: 0 = male; 1 = female Tenure: Supervisor tenure in months x_r: Recoded conditions so those who failed AS/Retaliation MC check were coded as AS/NoRetaliation (0 = control; 1 = AS/Retaliation; 2 = AS/NoRetaliation) TARGET: Total number of injustice words completed Study 2 data NoUse: 42 participants indicated that they don’t want us to use their data (0 = use; 1 = do not use) Ret_MC: Participants in Retaliation condition who did not retaliate (0 = include; 1 = exclude). 30 participants did not engage in retaliation AS: Supervisory treatment condition (0 = neutral; 1 = AS) Ret: Retaliation condition (0 = no retaliation; 1 = retaliation) NeuNoRet: Neutral interaction/no retaliation NeuRet: Neutral interaction/retaliation ASNoRet: AS/no retaliation ASRet: AS/retaliation c1: Comply Retaliation in NeuRet condition (n = 13), 0 = non-compliers, 1 = compliers, everyone not in the NeuRet condition coded as 0 c2: Comply Retaliation in ASRet condition (n = 11), 0 = non-compliers, 1 = compliers, everyone not in the ASRet condition coded as 0 ret_r: Recoded conditions so those who failed the ret MC check were coded as NoRet (0 = no retaliation; 1 = retaliation) y: Injustice ratio Age: Age in years Gender: 0 = male; 1 = female Tenure: Supervisor tenure in months x: Bobko conditions (1 = NeuNoRet; 2 = NeuRet; 3 = ASRet; 4 = ASNoRet) TARGET: Injustice words
DOI: 10.17632/8w4c24p54w.1
title: Dataset - Dados de Hospitais Universitários EBSERH (jan.2008 - dez.2018)

description: Dados da pesquisa entitulada "O impacto da gestão EBSERH na produção dos hospitais universitários do Brasil", publicada na revista Ciência & Saúde Coletiva. O estudo analisa a evolução de resultados relacionados à produção de hospitais universitários (HUs) do Brasil pertencentes à Empresa Brasileira de Serviços Hospitalares (EBSERH), enfatizando resultados alcançados antes e depois da adesão à EBSERH. Foram analisados dados mensais de 16 HUs, obtidos no Sistema de Informações Hospitalares (SIH/SUS) e no Cadastro Nacional de Estabelecimentos de Saúde (CNES), referentes ao número de internações hospitalares, número de profissionais, número de leitos, tempo médio de permanência, taxa média de mortalidade, valor total aprovado de Autorizações de Internação Hospitalar (AIHs) e valor médio da AIH. O estudo utiliza a análise simples de séries temporais interrompidas (STI) para analisar os efeitos da gestão EBSERH nos HUs, avaliando comparativamente o nível e tendência dos resultados dos HUs antes e após a adesão à gestão da EBSERH. Os hospitais, de modo geral, apresentaram melhores resultados após a adesão à EBSERH, com redução de tempo médio de permanência, aumento do número total de internações, aumento no efetivo de pessoal, e aumento do valor total aprovado pelo SUS. Dentre os HUs analisados, os que apresentaram destaque positivo no aprimoramento de performance foram o HU/UFS, HULW/UFPB, o HUOL/UFRN e o HU/UFMA.
DOI: 10.17632/mkc37w4rrv.1
title: SpinalJ_example_data_processed

description: Example dataset of mouse spinal cord sections for processing, reconstruction and atlas registration using SpinalJ (Fiederling et al., 2021; https://www.biorxiv.org/content/10.1101/2021.05.06.443008v1). Files include pre-processed single section images, some intermediate pre-processing files, as well as all files generated during section registration, atlas mapping and analysis. All files were created from raw image data provided in SpinalJ_example_data_raw(1-6).