cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/87y47nvsf4
title: Gear Dataset

description: A gear dataset (image data) including 9 pinion fault conditions that can be used for conducting algorithmic development and validation
DOI: 10.17632/8xyz6jjf3w
title: Replication Files for Fuchs, Kaplan, Kis-Katos, Leue, Turbanisch, and Wang, “Mask Wars: Sourcing a Critical Medical Product from China in Times of COVID-19”

description: This is the replication folder for the Journal of International Economics paper “Mask Wars: Sourcing a Critical Medical Product from China in Times of COVID-19” by Andreas Fuchs, Lennart Kaplan, Krisztina Kis-Katos, Sebastian S. Leue, Felix Turbanisch, and Feicheng Wang.
DOI: 10.17632/nrs7c8v4m2
title: Firms’ Bond Market Access and Impact on Bank Borrowing Costs

description: This dataset combines data from three sources (a) syndicated loan transactions and loan characteristics (b) bond issuance (c) company information. The transaction data (a) and (b) are matched into (c) using a company level identifier. The data covers a period from 2000 to 2020. The data allows researchers to test the interactions between bond issuances and yields viz loans and loan spreads.
DOI: 10.17632/yt7j7f5wm9
title: Data on temperature, air speed and relative humidity in buildings operating under air conditioning, mixed mode and natural ventilation (information from 2011 to 2021)

description: The data included shows the cooling strategies used in 51 different buildings in the world, the type of climate in which the measurements were implemented and the variables of temperature, air velocity and relative humidity inside the buildings are also included. .

The data can be interpreted in different ways, with them different types of studies can be carried out, such as correlations, feeding of larger databases such as ASHRAE standards, analysis of parameters with advanced statistics. These are essential data to understand the thermal performance of buildings in the world and its impact on aspects of thermal comfort and energy consumption.

The data was obtained from the search for information articles in specialized scientists, the information search was carried out in engines such as Scopus, Google Scholar and ScienceDirect.

These data can be used for global analysis of cooling strategies, bioclimatic comfort, analysis of hygrothermal parameters in different buildings and regions of the world.
DOI: 10.6084/m9.figshare.14992428.v1
title: ang_dep_exp_MgO.dat

description: Angular dependence of the MgO harmonics
DOI: 10.6084/m9.figshare.21062638.v1
title: I-P Camouflaged Objec dataset

description: I-P Camouflaged Objec dataset.
DOI: 10.17632/h5vcv2gdtz
title: Forehand ball speed, accuracy ratio and maximum heart rate achieved in four tactical situations by forty-two tennis players.

description: Forty-two tennis players' ball speed, accuracy ratio and maximum heart rate (bpm) achieved in four tactical situations are reported (values expressed as the median of the trials performed).
DOI: 10.17866/rd.salford.28472870.v1
title: Healing Tales: Interview transcripts

description: This is a series of 6 interviews, and notes from a further conversation, with 8 people working in Bolton Royal Hospital, about their experiences in the COVID-19 Pandemic. The interviews were recorded and transcribed by Alan Williams, and they went on to form the basis of the collaboratively composed piece <i>Healing Tales</i>.
DOI: 10.17632/bx2jfbrkmx
title: Vico etal_2024_rectangle ratios

description: Details on the rectangles, including descriptions and measures for each section
DOI: 10.17632/ccr8cm22vz
title: Anemia Detection using Palpable Palm Image Datasets from Ghana

description: Anemia is a global public health issue that mostly emerges as a result of a decrease in red blood cell count and is particularly prevalent in Africa. Invasive ways of detecting anemia are expensive and time-consuming. Anemia may, however, be diagnosed using non-invasive technologies such as machine learning algorithms. In our study, we compared machine learning models to detect anemia using colour using the palpable palm. The main dataset consisting of the palm were developed using Ghana as a case study for dataset collecting, and the approach employed is as follows.
All photographs were taken by the laboratory personnel, and the Hb Values of patients, age, sex, and a remark (anemic or non-anemic) based on the Hb Value taken were uploaded by technicians or medical laboratory officers using standard high-quality cameras with a minimum of 12MP. The lab officers hold the tip of the fingers and wrist to expose the palm because the participants are minors and cannot completely extend the palm to the expectancy.
Furthermore, to minimize inflated shine effects caused by the picture quality, which greatly impacts detection or classification by the models, the cameras' spotlights were turned off when the photos were photographed. This approach is an excellent way to eliminate the impact of ambient light on photos in datasets. 
The datasets were collected from the undermentioned hospitals located in Ghana; Komfo Anokye Teaching Hospital at Kumasi, Bolgatanga Regional Hospital at Bolgatanga, Kintampo Municipal Hospital at Kintampo, Ahmadiyya Muslim Hospital at Techiman, Sunyani Municipal Hospital at Sunyani, Manhyia District Hospital at Kumasi, Ejusu Government Hospital at Ejusu, SDA Hospital at Sunyani, Nkawie-Toase Government Hospital at Nkawie-Toase and Holy Family Hospital at Berekum.  
The dataset for this study focuses on young children aged five and below. Laboratory technicians take a blood sample from suspected anemic patients to measure the Hb values of the patients, and images of the palpable palm are taken afterwards, and a remark is given based on the Hb value of the patient either anemic or non-anemic. 
The threshold triangle approach was used to extract the ROI of the pictures of the palpable palm; that is, ROI differentiation for binary after the background was generated was inferred in the dataset collecting procedure. Following that, the images were classified as anemic or non-anemic based on the corresponding comments provided by the laboratory Hb result. 
In the procedure of augmenting the images to expand the original size of the datasets, from 710 images (426 are anemic images while 284 are non-anemic images) to 4260 datasets after the image augmentation of because of the augmentation, all photos were labelled "anemic" and "non-anemic," with a number matching to each. 
The reason that all participants are under the age of six, images of their palm may be tiny, as compared to that of adults’ images of the palm.
DOI: 10.17632/fmpt4h773w
title: Sensorineural Hearing Loss in Children with Sickle Cell Disease

description: A comprehensive clinical database of 2600 pediatric SCD patients treated at 1 institution from 2010-16 was retrospectively reviewed to identify all patients who were referred for audiologic testing. Audiologic test results, patient characteristics, and SCD treatments were reviewed.
DOI: 10.17632/mfgws3n6pn
title: Data for analysis steps

description: Database to
DOI: 10.17632/y9dtky2kr9
title: Data for: Evidence fasting increases incentive signaling for monetary rewards

description: These are the data used for ROI analyses and behavioral analyses.
DOI: 10.6084/m9.figshare.4747663.v1
title: Supplementary Material for: Inbreeding Coefficient Estimation with Dense SNP Data: Comparison of Strategies and Application to HapMap III

description: <strong><em>Background/Aims:</em></strong> If the parents of an individual are related, it is possible for the individual to have received at 1 locus 2 identical-by-descent alleles that are copies of a single allele carried by the parents' common ancestor. The inbreeding coefficient measures the probability of this event and increases with increasing relatedness between the parents. It is traditionally computed from the observed inbreeding loops in the genealogies and its accuracy thus depends on the depth and reliability of the genealogies. With the availability of genome-wide genetic data, it has become possible to compute a genome-based inbreeding coefficient <i>f</i>, and different methods have been developed to estimate <i>f</i> and identify inbred individuals in a sample from the observed patterns of homozygosity at markers. <b><i>Methods:</i></b> For this paper, we performed simulations with known genealogies using different SNP panels with different levels of linkage disequilibrium (LD) to compare several estimators of <i>f</i>, including single-point estimates, methods based on the length of runs of homozygosity (ROHs) and different methods that use hidden Markov models (HMMs). We also compared the performances of some of these estimators to identify inbred individuals in a sample using either HMM likelihood ratio tests or an adapted version of the ERSA software. <b><i>Results:</i></b> Single-point methods were found to have higher standard deviations than other methods. ROHs gave the best estimates provided the correct length threshold is known. HMMs on sparse data gave equivalent or better results than HMMs modeling LD. Provided LD is correctly accounted for, the inbreeding estimates were very similar using the different SNP panels. The HMM likelihood ratio tests were found to perform better at detecting inbred individuals in a sample than the adapted ERSA. All methods accurately detected inbreeding up to second-cousin offspring. We applied the best method on release 3 of the HapMap phase III project, found up to 4% of inbred individuals, and created HAP1067, an unrelated and outbred dataset of this release. <b><i>Conclusions:</i></b> We recommend using HMMs on multiple sparse maps to estimate and detect inbreeding in large samples. If the sample of individuals is too small to estimate allele frequencies, we advise to estimate them on reference panels or to use 1,500-kb ROHs. Finally, we suggest to investigators using HapMap to be careful with inbred individuals, especially in the GIH (Gujarati Indians from Houston in Texas) population.
DOI: 10.17632/6dbrtvf7vh
title: Naïve Bayes-Based Data Analysis on Google Play Store’s User Review of Bank Jago Application

description: This dataset contains user reviews of Bank Jago, a digital banking application developed by PT Bank Artos Indonesia Tbk, which provides savings, lending, and transaction services. The data was collected from publicly available user reviews on the Google Play Store. These reviews, written in Indonesian, reflect user experiences and opinions regarding the application's interface, security, and transaction features. The purpose of this dataset is to analyze user sentiment and identify the key aspects that influence user satisfaction with the digital banking service.

A total of 2,000 reviews were gathered through web scraping using Python. After conducting data cleaning which are removing ambiguous, irrelevant, and duplicate entries, a final set of 1,432 high-quality reviews was retained for analysis. The dataset was manually labeled into positive and negative sentiments and processed using the Naïve Bayes algorithm in RapidMiner.

Initial findings show that 48.7% of the reviews are positive, while 51.3% are negative. Commonly mentioned themes include ease of transactions, security of personal data and funds, verification process, and customer service responsiveness.

This dataset is valuable for researchers in the fields of sentiment analysis, fintech, and digital banking, particularly those focusing on service quality. It can also be utilized as training data for machine learning models in natural language processing (NLP) and classification tasks. By analyzing customer feedback, stakeholders in the digital banking industry can gain insights to improve application functionality, strengthen customer trust, and enhance overall user satisfaction.
DOI: 10.17632/hscn689xzn
title: Happiness of learners in South Africa

description: Satisfaction in Life together with boredom, burnout and engagement data.
DOI: 10.17632/k7twggfsdm
title: SWCNT Nanotrusses

description: Data accompanying the research paper: Čanađija, M., Košmerl, V., Zlatić, M., Vrtovšnik, D., Munjas, N.: A computational framework for nanotrusses: input convex neural networks approach, European Journal of Mechanics - A/Solids (2023)

Trained neural networks for true-stress vs. true strain uniaxial tension/compression curves and diameter vs. true strain for 818 different single-walled carbon nanotubes at 300 K. Datasets obtained by molecular dynamics (MD) are also enclosed. Results used in the second example in the above paper, obtained by MD are provided.
In the case you find this dataset useful, please cite the above paper. Full bibliographic data can be found at the DOI link:
https://doi.org/10.1016/j.euromechsol.2023.105195
DOI: 10.17632/tjzm2gdntf
title: Dataset for the expected anthropogenic mercury release in China between 2016 to 2019

description: It contains data in six spreadsheets: “Data for 2016”, “Data for 2017”, “Data for 2018_BAU”, “Data for 2018_ACR”, “Data for 2019_BAU”, and “Data for 2019_ACR”. Each spreadsheet contains collected (filtered) and analyzed data, i.e., parameters, collected data, calculated and summarized results for mercury distribution by the category of mineral production, intentional uses, secondary metal production, extraction and combustion, and waste treatment in that year. The spreadsheet “Data for 2016” also contains the results of uncertainty and sensitivity analyses.
DOI: 10.17632/v8mt9d3v6h
title: Electrification of Space Heating in the Texas Residential Sector

description: These data describe how the energy usage of a large, diverse residential sector would change if all space heating was electrified. Using the actual weather data from 2016 for 17 locations in Texas, thousands of building models representative of the building stock in the residential sector of the Texas electric grid were simulated using the open-source dynamic energy modeling tool, EnergyPlus. Four total scenarios are examined in this study: a base scenario representative of current building stock and three electrification scenarios. In each electrification scenario, building models with fossil fuel heating sources had their heating units replaced with reversible heat pumps (i.e., heat pumps that provide both heating and cooling). The three electrification scenarios reflected the efficiency of the reversible heat pump being installed: standard efficiency, high efficiency, and ultra-high efficiency. Data reflect a residential system peak shifting from summer to winter and reduced summer consumption due to efficiency improvements. 1. Energy Consumption Data ~/hourly_energy_consumption: Hourly energy usage data for each building model was collected from EnergyPlus and multiplied by a scaling factor sized to reflect the actual dimensions of the Texas grid's residential sector. In the case of this study, that scaling factor is 230. The scaled hourly energy usage was summed over all modeled dwellings to give the Texas grid's residential sector hourly energy consumption. Each scenario's hourly consumption data are in a separate csv file in this directory, noted by the filename. 2. Daily Peak Demand ~/daily_peak_demand: The maximum hour of electricity consumption (kWh) for each day is divided by the change in time (one hour) to create an absolute peak hourly demand value (kW) for the day. These values for maximum hourly demand on each day are referred as daily peak demand values in the associated journal article. Each scenario's daily peak demand data are in a separate .csv file in this directory, noted by the filename. 3. Building Stock Details ~/building_stock_details The .csv file "base_scenario_building_stock_data.csv" includes housing information (e.g., insulation details, setpoint data, geometry data) about every building modeled in this study. It also includes annual energy and end-use consumption values for each building. Note: data from approximately 38,000 dwellings of the total 41,000 were used in our study, because some of the locations covered areas not served by the Texas electric grid. The remaining .csv files contain energy consumption data for the buildings that had heating units replaced by heat pumps. The files are organized by electrification scenario.
DOI: 10.6084/m9.figshare.13012817.v1
title: The influence of a 40-minute break filled with sleep or wakefulness after an acute stressor on perceived stress, affect, and working memory - dataset

description: Data set for study investigating the effects of a brief nap on stress, affect, and working memory.
DOI: 10.17632/hkxchx5sxp
title: Instances for the two-echelon location routing problem with two-dimensional loading constraints

description: Datasets used in the paper "The impact of loading restrictions on the two-echelon location routing problem". Each folder, 2E-LRP and 2E-LRP2l, contains the set of instances, best obtained solutions, and detailed results. Formats of input and output are described on files "README_instanceFormat" (located inside each instance folder) and "README_format" (located inside best solutions folder). The excel file "Result" provides details of the instances: best and average solution values as well as computational time and coefficients of variation.
DOI: 10.6084/m9.figshare.28465301.v1
title: Data Collection (Social Determinant of LA use).xlsx

description: Our research investigates how various social determinants—such as income levels, education, healthcare access, and cultural norms—affect individuals' decisions to store and reuse leftover antibiotics in Lebanon. By analyzing these factors, we aim to highlight the underlying causes of this practice and propose targeted policy interventions to promote more responsible antibiotic use, ultimately contributing to the global fight against AMR.This study is particularly relevant in Lebanon, where economic instability and gaps in healthcare coverage exacerbate self-medication behaviours. Understanding these social determinants allows for the development of tailored awareness campaigns and regulatory measures to curb improper antibiotic use, thus safeguarding public health and slowing the progression of antibiotic resistance.
DOI: 10.17632/5c97xjmcw2
title: Dataset for "Kinematic evaluation of patients with chronic obstructive pulmonary disease during the 6-min walk test"

description: A total of 41 patients with COPD of both sexes were evaluated according to established criteria. The inclusion criteria were age ≥40 years, a smoking history of at least 10 pack-years, a post-bronchodilator forced expiratory volume in 1 s (FEV1)/forced vi- tal capacity (FVC) &lt; 0.70 (GOLD, 2020), and no participation in a pulmonary rehabilitation programme in the last 3 months. The classification of airflow limitation severity was based on post-bronchodilator FEV1. Among the 41 patients with COPD who were evaluated for inclusion in the study, 5 were excluded due to difficulty walking (n = 2), reported osteoarticular disease (n = 2), and chronic oxygen use (n = 1); 36 participants remained for analysis. A control group comprising 19 participants matched for sex, age, weight, height, and body mass index (BMI) was also evaluated. To be included in this group, participants could not be considered “very active” according to the International Physical Activity Questionnaire (IPAQ). The 6MWT was performed in a 10-m long flat corridor (between-pylon distance = 9 m), which is the minimal walkway length for this test (Almeida et al., 2020; Beekman et al., 2014), according to methods developed in a feasibility study (Saraiva et al., 2018). During the test, Qualisys Track Motion 2.4 software (Qualisys, Gothenburg, Sweden) and a system of four infrared cameras (ProReflex MCU 240; Qualisys, Gothenburg, Sweden) were used for the three-dimensional capture of helmet movement (Y: medial-lateral, X: anteroposterior, Z: vertical height). As in the feasibility study (Saraiva et al., 2018), the acquisition system was calibrated before each session using the manufacturer's equipment (wand length = 749.4 mm), procedure, and soft- ware; calibrations were repeated when necessary until the measurement errors for the location of the helmet were &lt;1.0mm in all directions.
DOI: 10.17632/5hh28hhm4k
title: Balance Impairment in Patients with Rheumatoid Arthritis and Ankylosing Spondylitis

description: This study aims to investigate the effects of the most common rheumatic diseases on postural balance related to vestibular function. Seventy-eight participants grouped as Rheumatoid Arthritis (RA) (n=34, 43%), Ankylosing Spondylitis (AS) (n=24, 30.7%), and the control group consisted of healthy individuals (n=20, 25.6%). The cervical Vestibular Evoked Myogenic Potentials (cVEMP) test, Dizziness Handicap Inventory (DHI), and Berg Balance Scale (BBS) was applied to all three groups. The results were compared.
DOI: 10.6084/m9.figshare.3565731.v1
title: Appendix D. ANOVA testing the effects of transect, tidal elevation, and species of propagule on the mean proportion of marked propagules that failed to disperse from a release point.

description: ANOVA testing the effects of transect, tidal elevation, and species of propagule on the mean proportion of marked propagules that failed to disperse from a release point.
DOI: 10.6084/m9.figshare.12366554.v1
title: GC-MS-based metabolomics of BALB/c mice related to staphylococcal bloodstream infection

description: GC-MS-based metabolomics identifies host metabolites related to S. aureus infection.
DOI: 10.17632/rsg75xbs6c
title: Quantification of food waste analysis

description: This data set provides detailed numerical data of the food waste analysis in the Republic of Cyprus covering all stages of food waste production, from the primary sector and processing to the retail sector, food services (i.e. restaurants), and households. The waste statistics approach uses mainly the EU waste statistics reported by each Member State based on EU Commission regulation on waste statistics (No. 2150/2002), and is based as well as in the Commission Delegated Decision (EU) 2019/1597 of 3 May 2019 supplementing Directive 2008/98/EC of the European Parliament and the Council as regards a common methodology and minimum quality requirements for the uniform measurement of levels of food waste. The collection of the data is included in seventeen tables and twenty Sankey diagrams.
DOI: 10.6084/m9.figshare.1333564_d3
title: ELISA measurements for "Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogeneity in disease phenotype"

description: ELISA measurements from plasma samples were carried out using the Ciraplex® platform (Aushon Biosystems, Billerica, MA, US). Commercial assays were purchased and measurements were carried out according to instructions provided by the manufacturer. The following 29 targets were analyzed either as single-plex assays or as multiplex assay: hFGFb; hGROa; hLIF;hIFNg; hIL1b; IL4; IL5; hIL6; hIL10; hIL12p70; hIL13; hTNFa; hI309; hIL8; hIP10; hMCP4; hMIP1a; hMIP1b; hCRP; hLeptin; hPAIactive; hResistin; hIGFBP1; hIGFBP3; hIGFBP2; hMIF; hApoA1; hCRP; hAcrp30.
DOI: 10.6084/m9.figshare.25906249.v1
title: Simulation data for compact ion-pair aggregate electrolyte

description: - AIMDThe AIMD snapshot (in VASP format) for Fig. 5 and Supplementary Fig. 49<br>- cmdThe classical molecular dynamic (cMD) simulation input files (in Gromacs formation for) Fig. 4a-d, Supplementary Fig.33，Fig.34，Fig.36，Fig.41, Fig.45, Fig.46, Supplementary Table 4Fig. 47- pDOSThe snapshot of density functional theory (DFT) pDOS analysis for Supplementary Fig. 47, Supplementary Fig.48<br>The DFT calculations are carried out using VASP 5.4.4.The cMD simulations are carried out using Gromacs 2020.3.
DOI: 10.17632/hhk2c638rx
title: Thalassemia blood smear image

description: The ThalassemiaPBS dataset is a peripheral blood smear images collected from four thalassemia patients. At present, it is infrequent for a public dataset to relate to microscopic images of thalassemia's peripheral blood smear. Therefore, this dataset will be a source of data for computer application researchers related to thalassemia