cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dhzpk2scsn
title: Sunnah and Shia (SSTD) Hate Speech Dataset

description: Description of Sunnah and Shia Hate Speech Dataset (SSTD): Consists of one XLS file, which contains (3235) labeled tweets The file contains three features: 1. Tweet id: Unique ID given for each tweet (removed before training) 2. Text: The tweet text in Arabic. 3. Label: the dataset has 2 labels: a. 0 : No hate speech is included in the tweet. c. 1 : A hate speech exists
DOI: 10.17632/s2h69tyg2k
title: Survey Data of Students' Community of Inquiry Adjustments

description: The survey data presented here indicate the students’ learning adjustment in terms of their perceived Community of Inquiry (CoI) adjustments from classroom to online learning environment during the political turmoil in a case Hong Kong higher education institution from November to December 2019 and from online to blended learning environment during the outbreak of COVID-19 pandemic from February to May 2020 in the case Hong Kong higher education institution. The survey was conducted from late June 20 to early August 2020 to collect the data of the CoI adjustments (i.e. teaching adjustment, social adjustment and cognitive adjustment) from a convenience sample of 683 students from different majors enrolled in the academic year 2019-2020 at the case Hong Kong higher education institution. 212 students participated in the survey by completing the online questionnaire which is also available here.
DOI: 10.17632/w2pfxfj9gb
title: Online Materials for "Physicists’ Views on Scientific Realism"

description: Online Materials for "Physicists’ Views on Scientific Realism" by Celine Henne, Christoph Sperber & Hannah Tomczyk The materials include the full questionnaire data and analysis scripts. They are intended to make the study fully transparent and replicable. See the README file for more information.
DOI: 10.17632/zf6n73z86x
title: Raw and Processed Data for FlyPlate-BCA Drosophila Feeding Assay

description: Full raw and processed datasets (intake values, standard-curve readings, power-analysis inputs)
DOI: 10.17632/w2gv8zdr2b
title: MFTM-Informer

description: Data and original code of "MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer"

1_data: Provides data preprocessing and raw data.

2_program: Contains the code for the MFTM-Informer model.
DOI: 10.17632/z8s6w86tr3
title: Suicidal Ideation Detection Reddit Dataset

description: 1. I failed to find any current public datasets while I was thinking about developing a text classifier to identify suicide ideation. I hope this will save time and be helpful to anyone searching for suicide detection datasets. 2. This dataset is a collection of posts from the Reddit online platform. The posts are collected using PRAW. PRAW, an acronym for "Python Reddit API Wrapper", is a Python package that allows for simple access to Reddit's API. 3. Suicidal texts have been collected from the following Reddit online community:  SuicideWatch 4. Non-suicidal texts have been collected from the following Reddit online communities:  CasualConversation  BenignExistence and  CongratsLikeImFive 5. There are a total of 15477 records and 3 attributes in this dataset, and the data were collected from June 1, 2023, to November 13, 2023. 6. All posts collected from suicidal texts are labeled as suicidal, while posts collected from non-suicidal texts are labeled as non-suicidal.
DOI: 10.17632/zjgzcdnr8k
title: Karadiyana solid waste disposal site raw data Sri Lanka

description: Water and lechate data
DOI: 10.17632/5pgnmw827v
title: Experimental measurements on the natural carbonation depth of limestone powder concrete

description: This dataset contains experimental measurements of the natural carbonation depths within the scope of the ongoing PhD thesis 'STRUCTURAL CONCRETE WITH REDUCED CEMENT AND HIGH LIMESTONE POWDER CONTENT' and MSc thesis 'INFLUENCE OF CEMENT BEING REPLACED WITH LIMESTONE FILLER ON THE PROPERTIES OF CONCRETE', at the University of Belgrade's Faculty of Civil Engineering.
The dataset includes compressive strengths, natural carbonation depths, as well as ambient conditions, and test durations.
DOI: 10.17632/6r5ffp7crw
title: LDHU3_13.0430

description: AMP-binding domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/vj9tskkvks
title: SIS-seq data and analysis

description: Holds the processed data and analysis scripts for paper "Clonal multi-omics approaches reveal Bcor as a negative regulator of emergency dendritic cell development" Despite advances in single cell multi-omics, a single stem or progenitor cell can only be tested once. We have developed ‘clonal multi-omics’, where daughters of a clone act as surrogates of the founder, thereby allowing multiple independent assays per clone. With SIS-seq, clonal siblings are examined in parallel ‘SISter’ assays for gene expression by RNA-seq, or for fate after culture. We identified, then validated using CRISPR, genes that controlled clonal fate bias for different dendritic cell (DC) subtypes. This included Bcor that we identified as a suppressor of plasmacytoid DC (pDC) and conventional DC subtype 2 (cDC2) numbers during Flt3 ligand-mediated ‘emergency’ DC development. With SIS-skew, where WT and BcorKO siblings of the same clone were examined in parallel, we found Bcor restricted clonal expansion, especially to generate cDC2s, and suppressed clonal fate potential, especially for pDCs. Therefore, SIS-seq and SIS-skew can reveal the molecular and cellular mechanisms governing clonal fate, including after perturbation.
DOI: 10.6084/m9.figshare.28903550.v1
title: NEU-CLS

description: The NEU-CLS dataset is collected from real industrial production lines. It is publicly released by the Surface Inspection Laboratory of Northeastern University, constructed explicitly for strip surface defect classification. This dataset covers six common types of strip surface defects: Crazing, Scratch, Pitted Surface, Patch, Rolled-in Scale, and Inclusion. The image's defect morphologies are diverse, presenting high complexity and diversity, effectively simulating the challenges of defect detection in practical application scenarios. Each defect category contains 300 images, all of which are grayscale with a resolution of 200×200 pixels.
DOI: 10.17632/7hv9mtdvmp
title: DiracSolver: A tool for solving the Dirac equation

description: Advantageous numerical methods for solving the Dirac equations are derived. They are based on different stochastic optimization techniques, namely the Genetic algorithms, the Particle Swarm Optimization and the Simulated Annealing method, their use of which is favored from intuitive, practical, and theoretical arguments. Towards this end, we optimize appropriate parametric expressions representing the radial Dirac wave functions by employing methods that minimize multi parametric expressions in several physical applications. As a concrete application, we calculate the small (bottom) and large (top) components of the Dirac wave function for a bound muon orbiting around a very heavy (complex) nuclear system (the 208Pb nucleus), but the new approach may effectively be applied in other complex atomic, nuclear and molecular systems.
DOI: 10.17632/9rrb3d4zhd
title: Data for: Predictive models for thermal inactivation of human norovirus and surrogates in strawberry puree

description: This is Supplementary file A of the pubication Bartsch et al.: Predictive models for thermal inactivation of human norovirus and surrogates in strawberry puree. It represents a .knar file archive for use with KNIME Analytics Platform (www.knime.com) with the PMM-Lab KNIME extension (https://foodrisklabs.bfr.bund.de/pmm-lab/). It contains the KNIME workflow, generated heat inactivation models as well as the associated data.
DOI: 10.17632/gjmr63rz2r
title: Dataset for Forest Fire Detection

description: We have curated a dataset to address the problem of forest fire detection. All images in the dataset are 3-channeled with spatial resolution of 250 × 250. We have retrieved these images by searching various search terms in multiple search engines. Afterwards, we thoroughly investigated these images to crop and remove the inappropriate components such as people, fire-extinguishing machinery etc. We ensured that each image only contain the relevant fire region. The dataset is designed for binary problem of fire or no-fire detection in the forests landscape. It is a balanced dataset consisting of 1900 images in total, where 950 images belong to each class. We have divided the dataset into 80:20 for training and testing purposes in our study.
DOI: 10.17632/zb4zrp3b3j
title: Energy storage technology dataset

description: Energy storage technologies and their comparative evaluation.
DOI: 10.17632/677fb3r9bn
title: Data for: Downstream erosion and deposition dynamics of fine suspended sediments due to dam flushing

description: Discharge and concentration data along the Arc and Isère river system for the six studied dam flushing events
DOI: 10.17632/j83n7hbvst
title: [Dataset] Predictions and observations of delta morphology using the quantitative Galloway triangle

description: We provide predictions of delta morphology with the quantitative Galloway triangle (Niehuis et al., 2020). We compare these predictions with delta morphology observations from a new methodology that uses the quantitative Galloway triangle.
DOI: 10.17632/yfjcv2759r
title: Golden Tortoise Beetle Optimizer: A Novel Nature-Inspired Meta-heuristic Algorithm for Engineering Problems

description: Reserach Data including implementation code in Matlab.
DOI: 10.6084/m9.figshare.9199475.v1
title: SST data

description: Sea surface temperature data analyzed in Johnson et al. (2019). The data are provided as .mat files (produced from the original NetCDF files through Matlab scripts provided in another file). The original NetCDF data are freely available on the web: https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5<br>https://www.metoffice.gov.uk/hadobs/hadisst/<br>
DOI: 10.17632/y6g254ygdz
title: Prediction of ACL-tear by lower limbs muscle strength and flexibility: A prospective cohort study in 95 female soccer players

description: These data are part of the project entitled “El Fútbol Femenino Importa: Identificación del Riesgo de Lesión a través de la Inteligencia Artificial” (I+D+I/PID2020-115886RB-I00) funded by MCIN/AEI/10.13039/501100011033.
DOI: 10.6084/m9.figshare.12494657.v1
title: JVASP-8244 to JVASP-8879

description: Input/output files
DOI: 10.6084/m9.figshare.16655263.v2
title: Spatial phylogenetics of Japanese ferns: Patterns, processes, and implications for conservation

description: A list of native, non-hybrid fern specimens mostly housed at the herbarium of the Museum of Science and Nature, Japan was converted to a community data matrix at four grain sizes (square grid-cells spanning Japan, each 10, 20, 30, or 40 km per side). The 20 km grain size was selected for further analysis based on redundancy (ratio of number of specimens to number of taxa per cell).<br>All taxon names are based on the Green List (http://www.rdplants.org/gl/; English version available at https://datadryad.org/stash/dataset/doi:10.5061/dryad.4362p32).<br><br>Traits were measured on each species as described in Ebihara and Nitta (2019).<br>Phylogenetic analysis was conducted with maximum likelihood in IQ-TREE v1.6.12 (Nguyen et al. 2015) by combining plastid rbcL sequences of each taxon with a globally sampled data matrix (Nitta et al, in prep). Next, dating analysis was carried out using treePL v1.0 (Smith and O’Meara 2012) with 26 fossil calibration points after Testo and Sundue (2016). The dated phylogeny was then trimmed to include Japanese taxa only.<br>The community matrix, traits, and phylogeny were used to analyze spatial patterns of phylogenetic diversity and endemism.<br>Data files were generated from raw data (not included here) using scripts available at https://github.com/joelnitta/japan_ferns_spatial_phy, in particular https://github.com/joelnitta/japan_ferns_spatial_phy/blob/main/R/process_raw_data.R.<br>For full methods, see Nitta JH, Mishler BD, Iwasaki W, Ebihara A (2021) Spatial phylogenetics of Japanese ferns: Patterns, processes, and implications for conservation https://doi.org/10.1101/2021.08.26.457744
DOI: 10.17632/8kjdxby5dg
title: Effect of Cranial electrical stimulation in participants with cervicogenic headache

description: Hypothesis-There is a loss of physical functioning and reduction in quality of life measurements in patients with cervicogenic headache. 
Methodology: In this Quasi experimental study 21 participants with CGH based on inclusion and exclusion criteria were included. Cranial electrical Stimulation (CES) will be given in the M 5 Mode (Type Delta Rhythm) for 20 minutes, 6 day a week for 3 weeks. Pre and post outcome measurements pain and quality of life will be assessed by Numeric Pain Rating Scale, and Neck Disability Index, Von Korff Scale and Pressure Algometer.
Result of this study shows that the CES is safe, feasible in individuals with CGH. It shows significant improvements (p value <0.05) in pain and Quality of life of individuals with cervicogenic headache.
Conclusion: Cranial electrical stimulation will help to improve pain and the quality of life in individuals with CGH.
DOI: 10.17632/kjvffspg7w
title: Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia

description: This repository contains the data and codes necessary to replicate the results obtained in the study “Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia”.
DOI: 10.17632/m5sm9c6wcx
title: Mini-lysimeter Software

description: Development of more efficient and sustainable irrigation technology is critical to maintain horticultural production in a water scarce future. Sensor controlled irrigation is an emerging technology that has the potential to increase irrigation efficiency and reduce overwatering by using real-time data on container water status to control the timing and volume of irrigation events. This project presents a novel irrigation control system using lysimetry. We develop small scale lysimeters, referred to as mini-lysimeter, which provide a direct measure of actual evapotranspiration (ET) via a change in mass of containerized crops. This data repository provides the software necessary to calibrate and operate a mini-lysimeter controlled irrigation system using the hardware design documents found in this data repository (doi: 10.17632/825zc3xwz4.1)
DOI: 10.17632/thcd9fbjd5
title: NTVTOK-ML: Fast surrogate model for neoclassical toroidal viscosity torque calculation in tokamaks based on machine learning methods

description: The Neoclassical Toroidal Viscosity (NTV) torque is a crucial source of toroidal momentum in tokamaks, exerting significant influence on plasma instability and performance. Accurate numerical modeling of NTV torque is essential for experimental design and operation, as well as for gaining insight into the relevant physical processes. However, the time-consuming nature of NTV torque calculation poses challenges for its practical application in experiment analysis and physical investigations. In this study, we have developed NTVTOK-ML, a surrogate model for NTV torque calculation that combines the expressive power and fast inference of machine learning methods to achieve simultaneous accuracy and time efficiency. To obtain datasets for NTV torque, extensive numerical calculations using NTVTOK and MARS-F codes were performed under various plasma conditions of Experimental Advanced Superconducting Tokamak (EAST), covering a wide range of experimentally relevant parameter regimes and incorporating rich physical effects such as pitch angle scattering, full toroidal geometry, resonances, etc. For fixed magnetic perturbation case, NTVTOK-ML employs Multi-Layer Perceptron (MLP) deep neural network and eXtreme Gradient Boosting (XGBoost) ensemble learning techniques respectively. Furthermore, when considering linear plasma response effect, Convolutional Neural Network (CNN) is utilized to process two-dimensional magnetic perturbation data. The prediction accuracy of NTVTOK-ML is evaluated based on statistical metrics including coefficient of determination (R^2), mean squared error (MSE), and relative error; single sample prediction ability; and generalization ability - demonstrating its reliability in NTV torque prediction tasks. Importantly, the computational time required for predicting NTV torque using our proposed approach is significantly reduced compared to the original numerical code by several orders of magnitude. Additionally, the flexibility offered by the NTVTOK-ML framework allows users to optimize model performance under specific circumstances. Overall, our developed method provides an accessible solution for rapid yet accurate prediction of NTV torque while incorporating essential physical effects - thereby facilitating real-time or inter-shot analysis in experiments as well as comprehensive multi-scale nonlinear time evolution modeling.
DOI: 10.6084/m9.figshare.23292746.v1
title: CSV files description

description: Description of the fields in the comma separated values (.csv) files
DOI: 10.17632/bs2j56pn7y
title: Graphite//LFP synthetic V vs. Q dataset (&gt;700,000 unique curves)

description: This dataset contains more than 700,000 unique voltage vs. capacity curves. It was calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details. This dataset was compiled with a resolution of 0.01 for the triplets and C/25 charges. This accounts for more than 5,000 different paths. Each path was simulated with at most 0.85% increases for each degradation mode. 4 Variables are included, see read me file for details and example how to use.
DOI: 10.17632/xs3ckf36w9
title: Data for: Early Indicators of Tail Biting Outbreaks in Pigs

description: Raw data from behavioural scan sampling of pigs.
DOI: 10.17632/7722hz4z4x
title: Data and R codes for: In search of draught cattle: An identification method

description: This repository is a companion to the paper "In search of draught cattle: An identification method." It includes the raw biometric data (metacarpal, metatarsal, first and second phalanx) from 151 modern non-draught cattle and R codes for the predictive models. For details of the measurement, see Figure 1-2 and Table S2.
DOI: 10.17632/f2kvg45c8c
title: Research data Firmansyah Et al ( 2025)

description: Data Research
DOI: 10.6084/m9.figshare.25783011.v1
title: a dataset of results for statistical tests

description: Excel format table file containing results for all the statistical tests performed in this study.
DOI: 10.6084/m9.figshare.8068937.v5
title: Protein abundance biases the amino-acid composition of disordered regions to minimize non-functional interactions

description: The data submitted are analyzed in a manuscript submitted to <i>Journal of Molecular Biology</i> entitled "Protein abundance biases the amino-acid composition of disordered regions to minimize non-functional interactions"<br><br>The data are in tabular format and correspond to amino-acid and protein levels of information for yeast and human proteome including: <br>- intrinsic disorder<br>- domains<br>- abundance<br>- hydrophobicity- aggregation propensities<br>- interaction propensity (stickiness)<br><br>
DOI: 10.17632/55rgck5ckj
title: Validación - Instrumento de competencias

description: Archivos en Excel de aplicación a expertos para validación de instrumento de evaluación. Uno de los instrumentos es aplicado para validez aparente (VALIDACIÓN-UNIMINUTO SECCIONAL ANTIOQUIA-CHOCÓ) y otro instrumento es de validez de constructo (VALIDACIÓN-UNIMINUTO SECCIONAL ANTIOQUIA-CHOCÓ - Segunda Parte).
DOI: 10.6084/m9.figshare.1025734.v1
title: Gaussian Job Archive for C4F14S2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.17632/898yvzkd26
title: Data for: Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and Laser Spectroscopy: a dataset to explore drought response

description: The use of xylem isotopes is an increasingly commonly used approach in eco-hydrological studies. Carrière et al. [2019] used this dataset to better understand where trees uptakes water under drought condition on a Mediterranean karstic system. Despite this technique is widely used, analytical issues still discussed within user community. We have conducted a number of tests which are relevant to be shared to animate the debate. We show that mass and laser spectrometer analyzes give very similar results for 46 xylem water and 9 drainage water samples. The full dataset (219 samples) shows that the xylem water undergo a deuterium fractionation which make the deuterium data unusable in the current state.
DOI: 10.6084/m9.figshare.19534615.v1
title: Supplementary Material for: Effect of Sex on Outcomes of Mechanical Thrombectomy in Basilar Artery Occlusion: A Multicentre Cohort Study

description: <b><i>Introduction:</i></b> Identifying differences in outcome of basilar artery occlusion (BAO) between males and females may be useful in aiding clinical management. Recent studies have demonstrated widespread underrepresentation of women in acute stroke clinical trials. This international multicentre study aimed to determine sex differences in outcome after mechanical thrombectomy (MT) for patients with acute BAO. <b><i>Methods:</i></b> We performed a retrospective analysis of consecutive patients with BAO who had undergone MT in seven stroke centres across five countries (Singapore, Taiwan, United Kingdom, Sweden, and Germany), between 2015 and 2020. Primary outcome was a favourable functional outcome measured by a modified Ranking Scale (mRS) of 0–3 at 90 days. Secondary outcomes were mRS 0–3 upon discharge, mortality, symptomatic intracranial haemorrhage (sICH) and subarachnoid haemorrhage (SAH). <b><i>Results:</i></b> Among the 322 patients who underwent MT, 206 (64.0%) patients were male and 116 (36.0%) were female. Females were older than males (mean ± SD 70.9 ± 14.3 years vs. 65.6 ± 133.6 years; <i>p</i> = 0.001) and had higher rates of atrial fibrillation (38.9% vs. 24.2%; <i>p</i> = 0.012). Time from groin puncture to reperfusion was shorter in females than males (mean ± SD 57.2 ± 37.2 min vs. 71.1 ± 50.9 min; <i>p</i> = 0.021). Despite these differences, primary and secondary outcome measures were similar in females and males, with comparable rates of favourable 90-day mRS scores (mean ± SD 46 ± 39.7 vs. 71 ± 34.5; OR = 1.20; 95% confidence interval [CI] = 0.59–2.43; <i>p</i> = 0.611), favourable discharge mRS scores (mean ± SD 39 ± 31.6 vs. 43 ± 25.9; OR = 1.38; 95% CI = 0.69–2.78; <i>p</i> = 0.368) and in-hospital mortality (mean ± SD 30 ± 25.9 vs. 47 ± 22.8; OR = 1.15; 95% CI = 0.55–2.43; <i>p</i> = 0.710. Rates of complications such as sICH (mean ± SD 5 ± 4.3 vs. 9 ± 4.4; OR = 0.46; 95% CI = 0.08–2.66; <i>p</i> = 0.385) and SAH (mean ± SD 4 ± 3.4 vs. 5 ± 2.4; OR = 0.29; 95% CI = 0.03–3.09; <i>p</i> = 0.303) comparably low in both groups. <b><i>Conclusion:</i></b> Females achieved comparable functional outcomes compared with males after undergoing MT for BAO acute ischemic stroke.
DOI: 10.6084/m9.figshare.9904889.v2
title: Gender statistics from World Bank

description: Download of Gender statistics CSV file from World Bank, as of September 25th 2019.<br>
DOI: 10.17632/9ftvt3mxb4
title: Supplementary data for CCC 2023 publication

description: Supplementary data for a publication submitted to Cement and Concrete Composites in 2023.
DOI: 10.17632/rnv53crbwg
title: Shi, VY (2022); Provider Perspectives in HS, Mendeley Supplement

description: Data supplement for: Shi VY, et al. A Survey of Dermatologist Perspectives on Disease Management of Patients With Hidradenitis Suppurativa. JAAD International (2022).