cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b7ncpn3tn7
title: Data for: Surface initiation of rolling contact fatigue at asperities considering slip, shear limit and thermal elastohydrodynamic lubrication

description: Data from a single asperity passing through a thermal elastohydrodynamic, TEHL, contact. The aim of the simulations is to clarify the loading conditions of asperities passing through thermal elastohydrodynamic lubricated contacts. The Figs 10 to 14 in C.-M. Everitts and B. Alfredssons article ‘Surface initiation of rolling contact fatigue at asperities considering slip, shear limit and thermal elastohydrodynamic lubrication’ was derived from the uploaded data. The numerical method used to obtain the data along with all input parameters used is presented in that article. The uploaded dataset contains two zip files containing data from one simulation each. The loading conditions were the same for both simulations except for the speed of the surfaces. In the first file, the speed of the surface with the asperity was 8 m/s while in the second zip file the speed of the asperity surface was 9 m/s. Note that the mean entrainment speed was 8.5 m/s in both simulations yielding different slip conditions for the two data sets. Each zip file contains the data from one TEHL-simulation divided into four separate results files. One data file contains the pressure, one the film thickness, one the temperature of the lubricant and the last the temperature of the metal body with the asperity. Each file contains the data from 3 steps where the grid size was gradually refined, then 10 steps when the time dependence was gradually introduced. Thereafter it is 514 time steps containing the information of the loading of the asperity as it passed through the TEHL contacts. Included in the folder is also a Matlab script reading and visualizing the data. The structure of the files is that the data from each simulation step is added after each other. For the pressure, the film thickness and the temperature of the lubricant each row represent the transverse direction and each column represents the rolling direction. The first row of each step contains the location of the nodes in the transverse direction and the first column contains the data of the nodes in the rolling direction. The structure of the metal temperature is such that each step contains the temperature of 39 layers. For each layer, the structure is the same as for the files mentioned before, with the rows representing the transverse direction and the columns the rolling direction, and the first row and column containing information about the node positions. For the spacing in the vertical direction, the reader is referred to the article ‘Surface initiation of rolling contact fatigue at asperities considering slip, shear limit and thermal elastohydrodynamic lubrication’ by C.-M. Everitt and B. Alfredsson.
DOI: 10.17632/f3xj9452y8
title: Data for: The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US

description: This data package contains the main data series used in the article titled "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US", by Paul Gaggl (UNC Charlotte, pgaggl@uncc.edu) and Sylvia Kaufmann (Studycenter Gerzensee, sylvia.kaufmann@szgerzensee.ch), published in the Journal of Monetary Economics. The data are available in two data formats: 1) Stata (cpsb_mj3dd_ts_q_clean.dta) 2) delimited ASCII text (cpsb_mj3dd_ts_q_clean.csv) The underlying data sources are FRED for aggregate variables and the U.S. Current Population Survey (CPS) monthly basic files. More information on the data construction are given in the main text of the paper as well as the companion online appendix. Detailed variable labels are available in the file readme.txt
DOI: 10.17632/n6xg5fzsbv
title: UNIBO Powertools Dataset

description: The UNIBO Powertools Dataset has been collected in a laboratory test by an Italian Equipment producer. The cycling experiments are designed to analyze different cells intended for use in various cleaning equipment such as vacuum and automated floor cleaners. The vast dataset is composed of 27 batteries. The main features of the dataset are: (1) the use of batteries from different manufacturers, (2) cells with several nominal capacities, (3) cycling is performed until the cell's end-of-life and thus data regarding the cell at different life stages are produced. Three types of tests have been conducted. (I) The standard test, where the battery was discharged at 5A current in main cycles. (II), the high current test, where the battery was discharged at 8A current in main cycles. (III), the preconditioned test, where the battery cells are stored at 45°C environments for 90 days before conducting the test. During discharge, the sampling period is 10 seconds. The experiments were conducted using the following procedure: (1) Charge cycle: Constant Current-Constant Voltage (CC-CV) at 1.8A and 4.2V (100mA cut-off ) (2) Discharge cycle: Constant Current until cut-off voltage (2.5V) (3) Repeat steps 1 and 2 (main cycle) 100 times (4) Capacity measurement: charge CC-CV 1A 4.2V (100mA cut-off ) and discharge CC 0.1A 2.5V (5) Repeat the above steps until the end of life of the battery cell Data are described in data-description.md test_result.csv contains all the records but the last one of each charge/discharge run. test_result.csv contains the last record of each run. A python file for loading data is available at https://github.com/KeiLongW/battery-state-estimation If you use this dataset, please cite our paper: Kei Long Wong, Michael Bosello, Rita Tse, Carlo Falcomer, Claudio Rossi, Giovanni Pau. 2021. Li-Ion Batteries State-of-Charge Estimation Using Deep LSTM at Various Battery Specifications and Discharge Cycles. In Conference on Information Technology for Social Good (GoodIT ’21), September 9–11, 2021, Roma, Italy. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3462203.3475878
DOI: 10.6084/m9.figshare.23992404.v1
title: Data from" Water deficit changes patterns of selection on floral signals and nectar rewards in the common morning glory" 2023, AoBP, by Yedra García, Benjamin S. Dow & Amy L. Parachnowitsch

description: Data from<i> Ipomoea purpurea</i> growing under controlled conditions in three experimental treatments (control, water deficit and pollinator restriction) at the University of New Brunswick."Ipomoea_traits" includes floral and plant trait measurements (flower width and length, stem diameter, nectar volume and concentration), data on reproductive success (number of fruits and seeds) and data on soil moisture."Ipomoea_reflectance" includes flower spectral reflectance measurements based on three readings per flower and plant.<br>
DOI: 10.6084/m9.figshare.7934549.v1
title: gVCF_NA19916

description: 1000 Genomes gVCF mapped to hs37d5 for NA19916. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17028/rd.lboro.21859488.v1
title: Supplementary information files for Individualism and climate change policies: international evidence

description: Supplementary files for article Individualism and climate change policies: international evidence <strong>Purpose</strong> This paper aims to examine the extent to which the cultural dimension of individualism/collectivism matters for international differences in climate change policy performance. This study postulates that individualistic societies, relative to their collectivistic counterparts, are more likely to address global climate change. <strong>Design/methodology/approach</strong> The main hypothesis is tested using data for a world sample of up to 92 countries. To achieve causal inference, this study isolates exogenous sources of variation in individualistic cultures, based on blood distance to the UK and historical pathogen prevalence. <strong>Findings</strong> The core results suggest that individualistic countries are characterized by greater climate change policy performance. This study also finds evidence that individualism affects climate change policy adoption through enhancing governance and female political representation. Subnational analyses based on data from the World Values Survey indicate that survey participants with an orientation toward individualism tend to self-report positive attitudes to pro-environmental policies. <strong>Research limitations/implications</strong> The main findings help improve the understanding of the deep origins of climate change policy performance, which is relevant for formulating policies that help mitigate the consequences of changing climate conditions. <strong>Originality/value</strong> To the best of the author’s knowledge, this paper is the first study to link cultural traits of individualism and climate change policy performance across countries.
DOI: 10.6084/m9.figshare.14271129.v1
title: The Relationship Between Epicardial Adipose Tissue and Insulin Resistance in Obese Children

description: Abstract Background Insulin resistance (IR) is an important disorder in obese children because it is closely related to cardiovascular diseases. Epicardial adipose tissue (EAT) plays a role in the development of IR due to secreted bioactive molecules, and the inflammatory process of these molecules may cause atrial electromechanical delay (EMD). Objective The objective of our study was to determine the relationship between EAT and EMD with IR in obese children. Methods Ninety-four obese patients were included in the study. IR was calculated using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) and defined as HOMA-IR greater than the 90thpercentile in an age- and sex-specific percentile curve. Patients were divided into two groups according to their IR. All patients underwent echocardiographic examinations. Statistical significance was set to a two-sided p-value &lt; 0.05. Results EAT was significantly higher in the IR group (p &lt; 0.001). The optimal cut-off value for EAT to predict IR was found to be &gt; 3.85 mm, with 92.5% specificity and 68.5% sensitivity (p = 0.002). In the multivariate logistic regression model, EAT (OR = 1.256, 95% CI: 1.016–1.53, p = 0.035) was also associated with IR after adjustment for variables found to be statistically significant in univariate analysis. Inter- and intra-atrial EMD was significantly prolonged in the IR group compared to the group without IR (p &lt; 0.010; p = 0.032 respectively). Conclusion: In our study, we revealed that EAT was positively correlated with IR and was an independent predictor of IR. (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0)
DOI: 10.6084/m9.figshare.29109872.v1
title: data set 2025

description: The primary objective of this study is to examine the impact of trust and customer satisfaction on enhancing customer loyalty of developer toward apartment contractors
DOI: 10.6084/m9.figshare.9975941.v1
title: flatfiles.zip

description: Annotation and genome files as used for TOBIAS analysis<br>
DOI: 10.17632/mfd2vc9gjg
title: “Slowed down temporal vein refilling as diagnostic pearl in frontal fibrosing alopecia”

description: Video of the manuscript “Slowed down temporal vein refilling as diagnostic pearl in frontal fibrosing alopecia”
DOI: 10.17632/npp23hwfnt
title: Faulty Information Processing Dataset: Investigating Beck’s Cognitive Distortions in Clinical Chatbot Interactions

description: The Faulty Information Processing Dataset (FIPD) is designed to identify two cognitive distortions—Personalization and Overgeneralization—which play a critical role in the early diagnosis and prognosis of depression. The dataset consists of 2,265 textual messages, including 1,955 from Twitter and 310 from mental health blogs. It is categorized into two classes: Personalization and Overgeneralization. The FIPD is intended to support the understanding of Faulty Information Processing within clinical chatbot-generated interactions.
DOI: 10.6084/m9.figshare.26318734.v1
title: Original data

description: This study investigated characteristics of changes in intestinal flora of T2DM patients after GLP-1RA combined with probiotics therapy.
DOI: 10.17632/66p8g4ptzs
title: Predictive Modelling of Real Contact Area on Rough Surfaces Using Deep Artificial Neural Network

description: Predictive Modelling of Real Contact Area on Rough Surfaces Using Deep Artificial Neural Network
DOI: 10.17632/tw66ksdfhh
title: Hadamard matrices of order 28 in machine-readable form

description: The data set contains Hadamard matrices of order 28 in machine-readable form, convenient for use in programs. Data taken from the site http://www.maths.gla.ac.uk/~es/hadamard/hadamard.php This data set complements following ones Ukhalov, Alexey; Nevskii, Mikhail (2018), “Functions for checking necessary conditions for maximality of 0/1-determinant and example”, Mendeley Data, v1 http://dx.doi.org/10.17632/sm3x4xrb42.1 Ukhalov, Alexey (2019), “Matrices having the largest known determinant in machine-readable form”, Mendeley Data, v1 http://dx.doi.org/10.17632/hzf94h43c5.1 Data is presented in three formats: Wolfram Mathematica Notebook, PDF, and Plain Text.
DOI: 10.17632/vtdwvg34sd
title: Data relating microplastics concentrations in stormwater drains to catchment land use and demographics, Perth, Western Australia

description: The data were collected to test hypotheses that microplastic concentrations in stormwater drains would be able to be predicted from: (1) the proportions of different land uses in stormwater catchments; (2) catchment population and land area; (3) rainfall preceding sample collection. The data show that microplastic fibres were the most common morphology across all drains, followed by  fragments. Most microplastics detected were in the 100-530 µm size range, with lower proportions ≤ 25 µm or > 530 µm. The most common colour was black, followed by red, blue, and green with other colours < 5% of total particle counts. There was no statistically significant variation in microplastic concentrations between or within stormwater catchments. Linear mixed-effects models showed significant positive effects of catchment area, catchment population, and the proportion of industrial land, natural land and public open space on microplastic concentrations. The proportion of residential land had a significant negative effect on microplastic concentrations. The proportion of agricultural land in each catchment, and preceding rainfall, had no effect on microplastic concentrations.
The majority of data are presented as a single comma-separated value file with 144 rows representing 3 replicates of 4 size fractions from 12 sampling sites. Samples have unique names and are categorised by Size (4 categories), Drain (6 categories) and Site (12 categories, 2 per Drain). Quantitative data relating to microplastics measurement include: sample volume; raw counts of total microplastics and microplastics separated into fragment, fibre, film, and microbead categories; concentrations of total microplastics and microplastics separated into fragment, fibre, film, and microbead categories; blank corrections (fibres only); corrected raw counts and concentrations of fibres; corrected raw counts and concentrations of total microplastics. Catchment demographic and land use data are: catchment area and population; proportions of land use in residential, industrial, services, agricultural, natural, and public open space categories. Rainfall for the 7 days prior to sample collection is also recorded. A separate comma-separated value file summarises the microplastic colour data, and an image shows aerial photograph maps of each site.
DOI: 10.6084/m9.figshare.1087931.v4
title: Anonymized Coursera Discussion Threads

description: The up do date version of the dataset is actually available for download via the following <strong>GitHub repository: </strong>https://github.com/elleros/courseraforums<br><br>It consists in the anonymized discussion threads from the forums of 60 Coursera Massive Open Online Courses (MOOCs), for a total of about 100,000 threads. <br>This dataset is associated to the paper: <strong>Language independent analysis and classification of discussion threads in coursera MOOC forums</strong>, by Lorenzo A. Rossi and Omprakash Gnawali, IEEE International Conference on Information Reuse and Integration (IRI), August 2014. Direct your questions to lorenzo<strong>[dot]</strong>rossi<strong>[at]</strong> gmail<strong>[dot]</strong>com
DOI: 10.6084/m9.figshare.23732421.v1
title: Datesets for "Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging"

description: Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high throughput <em>in situ</em> profiling of SC lipidome. Multimodal SC imaging, in which dual-polarity-mode MSI is used to perform serial data acquisition runs on individual cells, significantly enhanced SC lipidome coverage. High spatial resolution SC-MSI identifies both inter- and intra-cellular lipid heterogeneity; this heterogeneity is further explicated by Uniform Manifold Approximation and Projection and machine learning-driven classifications. We characterize SC lipidome alteration in response to stearoyl-CoA desaturase 1 (SCD1) inhibition and, additionally, identify layer-specific lipid distribution patterns in mouse cerebellar cortex. This integrated multimodal SC-MSI technology enables high-resolution spatial mapping of intracellular and cell-to-cell lipidome heterogeneity, SC lipidome remodeling induced by pharmacological intervention, and region-specific lipid diversity within tissue.
DOI: 10.6084/m9.figshare.28783331.v1
title: <b>Chromosome-level genome assembly and annotation of the </b><b><i>Triplophysa pappenheimi</i></b>

description: The genome annotations (.gff3), predicted coding sequences (.cds), protein sequences (.pep),and chromosome-level genome sequence files (.fa) of the <i>Triplophysa pappenheimi</i> genome assembly.
DOI: 10.6084/m9.figshare.29125640.v1
title: GhalamClouds - a dataset for semantic cloud segmentation based on KazSTSat imagery archive

description: GhalamClouds dataset is a collection of images from the KazSTSat earth observation satellite, manually annotated for semantic cloud segmentation tasks. Presented data are part of a larger archive and include images selected from 2023-2024 of Kazakhstan territory. The image has 22 m GSD (ground sample distance) for 1 pixel at 686 km altitude.The dataset is divided into two parts: GhalamClouds80 and GhalamClouds220, representing a number of scenes used in its creation. Different experts in the field annotated each subset. (The data presented here contains 73 and 204 scenes only). Each scene has a size of 14456x1800 pixels which is then divided into patches of size 384x384 pixels presented here. For each scene, there are 7 images representing spectral channels and cloud masking (gt). The spectral channels are Near-Infrared (nir), Red (red), Red Edge (rde), Green (green), Blue (blue), and Coastal Blue (cbl).In GhalamClouds80 for each spectral channel, there are 12350 patches for training and 1140 patches for testing. For GhalamClouds220 there are 34200 and 4180 patches respectively. Each channel was additionally aligned with Near-Infrared channel and provided as well, marked as ‘a’.
DOI: 10.17632/y83s87sx55
title: The Effects of Moderate-intensity Exercise on Executive Function and Student Learning: Perspectives for Teaching in Higher Education

description: Datasets 1 and 2 present the unprocessed output from the two key dependent variables from a flanker task used within the study: 1) Accuracy (% of correct responses), and 2) reaction time for correct responses (ms). Dataset 3 presents the reaction time difference pre- versus post-intervention exclusively for participants that exhibited an improvement post-intervention (expressed as %). Dataset 4 presents the performance (expressed as % of correct answers) on an 11-question multiple-choice test. The independent variables are labelled within the datasets.
DOI: 10.17632/2n7rwb2y6c
title: Effective Methods of Job Search for Unemployed Youth in Sri Lanka

description: This data set contains a cleaned version of the Youth Survey Database 2018 available at https://www.veriteresearch.org/publication/youth-labour-market-assessment-sri-lanka/. The data set has been cleaned and presented with the minimum requirement to help the publisher reproduce the author's work as given in his paper.
DOI: 10.17632/jk5cthwhh4
title: The variable-rate Pumping Test Analysis Tools (PTA Tools)

description: * The variable-rate Pumping Test Analysis Tools (PTA Tools) are developed in FORTRAN environment under the support of the
 Department of Earth Sciences of the Institute for Advanced Studies in Basic Sciences of Zanjan in Iran.* 

* PTA Tools are provided due to the study by Mostafa Naderi and Hoshin V Gupta entitled "On the Reliability 
of Time-Variable Pumping Test Results: Sensitivity to Information Content of the Recorded Data", Water Resources Research, 2020.

* PTA Tools are free for every academic researches, but not for any commercial purposes *

* PTA Tools simulate the drawdown around a pumping well that is pumped irregularly for six cases including:  
the methods of Theis [1935], Papadopulos and Cooper [1967] and Hantush [1961] for confined aquifers, 
the method of Hantush and Jacob [1955] and Lai and Su [1974] for leaky aquifers, 
and the method of Neuman [1972-1975] for unconfined aquifers. *

* The aforementioned solutions are programmed in FORTRAN and the aquifer parameters can be estimated by 
coupling these solutions to the Model-Independent Parameter Estimation and Uncertainty Analysis tool (PEST) [Doherty, 2010]. *
DOI: 10.6084/m9.figshare.20092661.v3
title: Exploratory Factor Analysis Output.docx

description: Descriptive statistics, KMO & Bartlett's test, total variance explained, and communalities.
DOI: 10.6084/m9.figshare.28826918.v1
title: Interview Ziti PA 13.docx

description: This is the interview transcription.
DOI: 10.6084/m9.figshare.3559224.v1
title: Appendix B. Inter-laboratory calibration of essential amino acid δ13C values.

description: Inter-laboratory calibration of essential amino acid δ13C values.
DOI: 10.6084/m9.figshare.5103796.v3
title: Groundwater recharge in Africa data and code

description: Data and code to support the paper:<br>Cuthbert et al. (2019). Observed controls on resilience of groundwater to climate variability in sub-Saharan Africa. Nature. https://www.nature.com/articles/s41586-019-1441-7<br>https://doi.org/10.1038/s41586-019-1441-7<br>
DOI: 10.6084/m9.figshare.5123839.v1
title: Supplementary Material for: Interpersonelle Psychotherapie bei Essstörungen: Eine systematische und praxisorientierte Übersicht

description: Die Interpersonelle Psychotherapie (IPT), ursprünglich zur Behandlung unipolarer depressiver Störungen entwickelt, wurde für die Behandlung verschiedener psychischer Störungen adaptiert, darunter die Essstörungen Bulimia nervosa, die Binge-Eating-Störung und die Anorexia nervosa. Die vorliegende systematische und praxisorientierte Übersicht stellt den aktuellen Forschungsstand zur IPT bei Essstörungen hinsichtlich der Wirksamkeit und Prädiktoren zusammen. Mehrere randomisierte klinische Studien legen nahe, dass die IPT bei der Bulimia nervosa zwar weniger schnell wirkt als die Kognitive Verhaltenstherapie (KVT), langfristig aber ebenso moderate bis gute Effekte mit ähnlicher Wirkungsweise erzielt. Für die Binge-Eating-Störung weist die IPT dieselbe gute kurz- und langfristige Wirksamkeit wie die KVT auf. Zur Behandlung der Anorexia nervosa legen Initialbefunde im Vergleich zu einem nicht spezifischen supportiven klinischen Management eine mäßige Wirksamkeit der IPT nahe, wobei langfristig Verbesserungen eintreten. Weiterentwicklungen in Konzept, Diagnostik und Vorgehen sowie eine größere wirksamkeits- und prozessbezogene Datenbasis können dazu beitragen, die Effektivität weiter zu optimieren sowie Indikation und Wirkungsweise der IPT für verschiedene Essstörungen zu spezifizieren