cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m6s3d8kvsm.3
title: Datasets for Smartphone Addiction and Cyberbullying Prevalence in Early Adolescents

description: The datasets provides an insightful research-based information regarding smartphone addiction and cyberbullying occurance in early adolescents. This datasets was gotten by doing survey involved 394 early adolecents from Capital City of Indonesia. This datasets include sociodemographic data, smartphone addiction status, and cyberbullying occurance in early adoecents. The first part of data was related to sociodemographic data. This included questions related to adolescents’ age, sex, grade, daily amount of time spent on smartphone, social media account ownership, and the internet access availability. The second part is data about smartphone addiction on early adolescents. To measure the addiction scale, the researcher used Smartphone Addiction Scale – Short Version developed by Kwon et al. (2013) . Smartphone Addiction Scale-Short Version consisted of a six-point Likert scale, anchored at “Strongly Disagree“ = 1 and “Strongly Agree” = 6. The summated score was used to determine the respondents smartphone-addiction status. Boys can be categorized as positive smartphone addiction if the score ≥31 and girls can be categorized as positive smartphone addiction if the score ≥33. Then, Cyberbullying and Online Aggression Survey instrument (2019 version) which was developed by Hinduja & Patchin (2019) was used to collect information about cyberbullying experiences in early adolescents. This questionnaire was divided into two sections: the first section consisted of some questions for cyberbullying victims and the second section consisted of some questions for cyberbullying perpetrators.
DOI: 10.17632/t26gnt3pss.1
title: Mendeley supplemental methods

description: Mendeley supplemental methods for "The risk of COVID-19 infection in patients with atopic dermatitis - a retrospective cohort study"
DOI: 10.17632/zxw9pp8jrg.1
title: Multidimensional_Poverty_Index

description: Micro level data obtained from Ethiopian Socioeconomic survey (ESS) 2018/19
DOI: 10.17632/rvg5jr8yk7.1
title: Lipidomic datasets

description: dataset Repository
DOI: 10.17632/ymhb45z69f.1
title: supplementary material

description: Supplementary material A includes the mathematical models of the total water network optimization, and the data for the case study. Supplementary material B presents the full calculations of contaminants removal processes.
DOI: 10.17632/yk7vgxtjgp.2
title: Unlocking Insights: A Curated Dataset and Text Mining Analysis of BIM in Major Construction Project Delivery

description: This datasets show the collected data from Scopus and Web of Science regarding the use of Building Information Modelling (BIM) in major construction projects delivery The data obtained using specific search string in order to collect only papers related study. This data will be analysed using Text Mining technique to retrieve useful information from textual data, this in turn will inform practitioners about the hidden information and reveal the current research trend so as tackle the challenges and increase future project performance. The analysis will be conducted in R using RStudio software.
DOI: 10.17632/vg3wkkb69t.2
title: Stress-Strain Data for Fire-Damaged Aluminum Alloy 6061 Subjected to Multiaxial Loading

description: Files in the data repository are organized in folders according to sample identifiers. Samples are named according to the following convention SP_00XX where “XX” are two numerals. Some sample identifiers additionally include a “b” at the end indicating a repeated test subsequent to a failed test.

Each folder contains Comma Separated Values (CSV) files from the MTS (DAQ_Running_Time_Timed.txt) and Vic3D systems (SP_00XX_data.txt), a MATLAB scripts for data interpolation (Analysis_script.m), and the CSV file that is generated from running the MATLAB script (SP_00XX_MTS_V3D.csv). For stress calculations it is necessary to input cross-section information for each sample. Sample dimensions (as well as machining direction, material condition, and mechanical test) are included in a descriptive excel file in the root folder named "samples.xlsx".

A set of folders (SP_0001b, SP_0003, SP_0005b, SP_0006b, SP_0007b, SP_0009, SP_0010, SP_0011, SP_0012) has one CSV file from MTS and one CSV file from Vic3D (the timing data from the Vic3D cameras was manually added to the strain data file). Folders associated with subsequent tests (SP_0070-SP0082) contain two CSV files from Vic3D (SP_00XX_data.txt, SP_00XX.txt): strain data and data acquisition timing. Regardless, MATLAB scripts in each folder correctly read and interpolate the data as needed. Folders SP_0068 and SP_0069 contain single files because interpolation of MTS and Vic3D data was done manually in Excel prior to development of analysis script.
DOI: 10.17632/4zdmjtn42z.1
title: Data for: Temperature and body mass drive earthworm (Eisenia fetida) sensitivity to a popular glyphosate-based herbicide

description: raw data for determining the impact of soil temperature and initial body mass on earthworm sensitivity to Roundup Ready to Use
DOI: 10.17632/gmz374n75n.2
title: U.S. Annual Firearms Manufacturing and Export Report: Aggregate Time Series Dataset 2000-2020

description: This dataset compiles yearly records from the Annual Firearms Manufacturing and Export Report (AFMER) published by the U.S. Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF).  The records were digitized, cleaned, and merged by RDS key, indicating unique firearm manufacturing locations, across different firearm type, and across multiple years, from 2000-2020.  The result of this archival digitizing project is a dataset that enables researchers to compare trends in manufacturing over time and place.  Manufacturing locations that contributed over one percent of total manufactured firearms (2000-2020) were selected and georeferenced.  These 100 locations are included in the GIS database.
DOI: 10.17632/h95gnwf3sm.1
title: Data for: When temporal prediction errs: ERP responses to delayed action-feedback onset

description: Dataset and R code reported in manuscript "When temporal prediction errs: ERP responses to delayed action-feedback onset" (Pinheiro, A. P., Schwartz, M., Gutierrez, F., & Kotz, S. A.)
DOI: 10.17632/hx5dtvnfpd.1
title: Translanguaging

description: Trabajo uclm
DOI: 10.17632/fcswf74g3x.2
title: Biologic Treatment Outcomes in Refractory Bullous Pemphigoid: An Evidence Base Review

description: Bullous pemphigoid (BP) is an autoimmune disorder characterized by tense blisters, urticarial plaques and intense pruritis. Initial treatment typically involves the use of topical and oral steroids; however, non-steroidal agents and biologics can also be used in refractory cases. This systematic review examines the treatment outcomes in BP refractory to conventional therapies, treated with biologics.
DOI: 10.17632/ttx9chkdcg.1
title: Hourly electricity load profiles of paper producing and food processing industries

description: The data provided are synthetic hourly electricity load profiles for the paper and food industries for one year. The data have been synthetized from two years of measured data from industries in Chile using a comprehensive clustering analysis. The synthetic data possess the same statistical characteristics as the measured data but are provided normalized to one kW and anonymized in order to be used without confidentiality issues. Three CSV files are provided: food_i.csv, paper_i_small.csv and paper_i_large.csv containing the data of a small food processing industry, a small paper industry, and a medium-large paper industry, respectively. All the three files contain seven columns of data: weekday, month, hour, cluster, min, max, mean. The four first columns index the data in the following way: Month: it includes the range of integer values between 1 and 12 accounting for the consecutive calendar months of a year starting in January (1) and ending in December (12). Weekday: this column has integer values in the range 1 to 7 that are equivalent to the consecutive days of the week starting on Monday (1) and ending on Sunday (7). Hour: it consist of integer values ranging between 1 and 24, which describe the hours of a day. Cluster: The column “cluster” represents the cluster to which this data is associated to. The number of clusters is different for each load profile, as well as the number of days included in each cluster. Since the cluster were calculated for days, a cluster number covers 24 consecutive points of data. The load profile data are provided in the three different columns: min, max and mean: Min: this column provides the min value of the cluster at that time of the day. Therefore, it represents the minimum demand of electricity recorded in all the days belonging to this representative group of data. Max. This column provides the maximum electric load of the cluster at that time of the day. It represents the maximum demand of electricity in all the days belonging to this representative group of data at that hour of the day. Mean: This column provides the average electric load of the cluster at that time of the day. It represents the mean demand for electricity belonging to this representative group of data at that hour of the day. The min, max and mean values are different for each hour of the day. All values are provided in values from 0 to 1 with the unit kW. For details on the clustering procedure or the data itself please refer to the associated paper published in the journal Energy and the one published in Data in Brief journal. The study was supported by the German Federal Ministry of Education and Research - BMBF and the Chilean National Commission for Scientific Research and Technology - CONICYT (grant number BMBF150075) , the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH through the Energy Program in Chile, and the European Research Council (“reFUEL” ERC-2017-STG 758149).
DOI: 10.17632/xk6xyb5xk8.1
title: Parallel behavioral and morphological divergence in fence lizards on two college campuses

description: Morphology and behaviour data on campus and wild Sceloporus occidentalis.
DOI: 10.17632/5wy9ypbz9j.1
title: Development and Validation of Yogic Leadership Scale

description: The data file is related to development and validation of yogic leadership scale based on yoga psychology, multiple human intelligences, wellness, consistent leadership theories / models (servant, self, spiritual, conscious and consciousness-based) and cases and personality traits and behaviours of founder leaders of Patanjali Group of Organizations. The data file contains data sets regarding content validity (CVI main data.xlsx) , exploratory factor analysis (EFA main data.xlsx), confirmatory factor analysis (CFA main data.xlsx) and criterion validity (YLS.xlsx, PES.xlsx, VPI.xlsx, RYFF.xlsx, VSQ.xlsx) computations.
DOI: 10.17632/cb887gkmxw.1
title: SoC Estimation on Li-ion Batteries: A New EIS-based Dataset for data-driven applications

description: On 11 brand new cylindrical rechargeable Lithium Iron Phosphate batteries, Electrochemical Impedance Spectroscopy (EIS) were measured at SoC 100%, 95%, 90%, 85%, 80%, 75%, 70%, 65%, 60%, 55%, 50%, 45%, 35%, 30%, 25%, 20%, 15%, 10%, 5%. All of these measures for each battery are repeated for two discharge cycles. 

Impedance frequencies[ 0.01, 0.02, 0.03, 0.05, 0.08, 0.1, 0.2, 0.3, 0.5, 0.8, 1, 2, 3, 5, 8, 10, 11, 21, 31, 61, 81, 100, 110, 210, 310, 510, 810, 1000 ] Hz used for the all EIS spectrum.

The files are organized in directories. There are eleven directories one for each battery, from “ B01” to “ B11”. Each of these directories further contains two directories, “ EIS Measurement” and “Capacity Measurement”. In the first one there are all the test directories, inside each test folder there are the corresponding test comma-separated values (csv) files with all the impedance spectroscopy measurements. In the second folder, on the same level as “ EIS Measurement” there is the battery capacity test also in a csv formatted file.
DOI: 10.17632/n97vjpxhj2.1
title: Capping human water footprints in the world's river basins

description: Excelfile containing several water footprint caps, runoff and environmental flow statistics for 11,000+ river basins worldwide. Shapefile containing geometries for these basins.
DOI: 10.17632/39wrcw5vgt.1
title: Supplemental Materials for "Onset of Psoriasis with Immune Checkpoint Inhibitor Therapy"

description: Supplemental document 1 contains additional supplemental materials regarding this study, such as the search strategy used by the authors and psoriasis treatments, treatment-specific outcomes and clinical characteristics. Document 2 contains the raw data extracted from all the articles included in this study.
DOI: 10.17632/44pfnysy89.1
title: Gait Dataset for Knee Osteoarthritis and Parkinson's Disease Analysis With Severity Levels

description: Computer-vision seems to be the most focused area in order to perform efficient diagnosis in clinical applications. The direct connection among human brain and the musculoskeletal system directed our effort towards the analysis of such diseases that have the significant impact on a person's gait such as knee osteoarthritis (KOA) and Parkinson's Disease (PD). Previous research on these diseases based on gait involves certain drawbacks including unavailability of a vision-based public and authenticated dataset. Thus, we created and presented a new dataset namely "KOA-PD-NM" while keeping various factors into consideration (e.g. age, gender, disease severity levels, etc.). This dataset involves both normal/healthy (NM) and abnormal (KOA, PD) subjects and don't allow the analysis of only lower body (limbs) but the upper body (arm, posture) movement too. The key aim of this dataset is to analyze the deviations among patient's and normal's gait. The construction of this dataset will surely help the researchers and the society towards this area for prediction of diseases with different stages and the development of better techniques and strategies.
DOI: 10.17632/4r423bzmw2.1
title: Dataset for: A Machine Learning Interpretation of the Correlation Between Poverty and Air Pollution in the Contiguous United States

description: The full dataset used in the study: A Machine Learning Interpretation of the Correlation Between Poverty and Air Pollution in the Contiguous United States
DOI: 10.17632/9dz247gnyb.3
title: Perceptual Voice Qualities Database (PVQD)

description: This database was created through generous funding from The Voice Foundation's Advancing Scientific Voice Research Grant and contains voice samples which have been rated by experienced voice professionals (at least 3 different raters with a minimum of 2 years’ clinical experience) in order to provide educators with standardized materials to better train pre-service clinical voice professionals. It contains 296 audio files consisting of the sustained /a/ and /i/ vowels and the sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V; Kempster, 2007). All recordings were made in a quiet clinical environment using a head-mounted condenser microphone at a 6-centimeter distance from the corner of the mouth and the Computerized Speech Lab (CSL) using 16-bit quantization and a sampling rate of 44.1k. Audio recordings have been edited as best as possible to remove all clinician instructions. However, please listen to and look at each file carefully just in case there was simultaneous clinician-client talk. Listeners rated approximately 50 files each and each file was rated twice for reliability measurement (for a total of approximately 100 ratings per rater). Raters used a computer to listen to the samples and rate voice quality via a web-based system that included custom-made electronic scales for the CAPE-V (Kempster, 2007) and the GRBAS (Hirano, 1981) using Qualtrics survey software. Listeners rated each file on a 100-point visual analogue scale (VAS) to mimic the paper-based CAPE-V protocol. Please note that severity markers (mild, moderate, severe) were not included on the 100-point VAS to avoid influencing the concurrent rating using the GRBAS scale. Raters were urged to rate the samples over several days to avoid fatigue. Further description of methods is located in the folders below. Questions about the database can be directed to Patrick R. Walden, Ph.D., CCC-SLP at waldenp@stjohns.edu. References: Kempster G. CAPE-V: Development and Future Direction. Perspect Voice Voice Dis. 2007;17(2):11-13. doi:10.1044/vvd17.2.11 Hirano M. Clinical Examination of Voice. Springer-Verlag; 1981.
DOI: 10.17632/sxxwj858yd.3
title: Outputs of the simulations from REPSOL Oil Spill off Central Peru in January 2022: A modeling case study by Mogollón et al., 2023 

description: This dataset belongs to Mogollón et al., 2023 ("REPSOL Oil Spill off Central Peru in January 2022: A modeling case study")
Authors: Rodrigo Mogollón,Cinthia Arellano,Piero Villegas,Dante Espinoza-Morriberón,Jorge Tam.

The outputs of the short and long-term lagrangian experiments (E1 and E4) are available. They consist of two NetCDFs files containing all the metadata and variables simulated corresponding to the minimum regret solution (E1_MR.nc and E4_MR.nc). In addition, the custom oil (.json), the coastline (.bna), the wind time-series (.txt), and the forcings (.nc) files are attached. Furthermore, daily and hourly snapshots (.png) of the particles are also provided for E4 and E1, respectively.
DOI: 10.17632/dtvbwrhznz.4
title: MED117_Medicinal Plant Leaf Dataset & Name Table

description: There are two datasets and one table uploaded in this platform under the title "MED117_Medicinal Plant Leaf Dataset & Name Table".  A folder is created with title "MED 117 Leaf Species". Inside this two sub folders with titles " Raw leaf image set of medicinal plants_v2" and "Segmented leaf set using UNET segmentation" are created.  Raw leaf image set consists of leaf images of 117 medicinal plants found in Assam. All the samples are collected by visiting different (Govt, Public and Private) medicinal gardens situated in different places of Assam and some other general places where they are mostly found. Videos of 10 to 15 seconds duration were taken for two to three leaves of every species on a white background and video recording was done using a SLR Canon Camera. Individual videos were segregated into image frames and thus were able to get around 77,700 jpg image frames from the videos. The Raw leaf image set consists of folders with scientific name and common name within bracket. 
        Second  folder with title "Segmented leaf set using UNET segmentation" consists of 115 medicinal plant species with their  segmented leaf image samples using  UNET segmentation technique. Here two species  are excluded from the original dataset due to small unpredictable size of the samples, so total 115  subfolders inside the segmented folder is achieved.
        Thirdly a table in doc format with title "Medicinal Plant Name  Table" is uploaded and it includes Scientific name, Common name and Assamese name of the plants listed in the folders in the same sequence.  The whole contribution is absolutely original and new, collected from different sources then processed for segmentation and prepared the table by discussing with taxonomy experts from Botany department of Gauhati University, Guwahati, Assam. India.
DOI: 10.17632/wd52cwgw73.7
title: Tariff-Based Product-Level Trade Elasticities

description: This repository contains all the SAS and STATA codes needed to replicate results in the manuscript "Tariff-Based Product-Level Trade Elasticities" by L. Fontagné, H. Guimbard and G. Orefice

Abstract. 
Trade elasticity which varies widely across products is a crucial parameter in evaluating the welfare impacts of changes in trade frictions. We estimate trade elasticities at the product level by exploiting the variation in bilateral tariffs for each product category for the universe of country pairs over the 2001 to 2016 period. The predicted trade flows using the product-specific trade elasticities estimated here match the observed post-EPA import between the US and Chile, confirming the accuracy of our estimates.
DOI: 10.17632/53ww9f4tjb.1
title: Data for: Silicon Nanocrystals as Signal Transducers in Ionophore-Based Fluorescent Nanosensors

description: Supporting spectroscopy data for Figures 3-7 in the manuscript and Figures S1 - S3 in the Supplementary Material
DOI: 10.17632/jwyzdxxcbr
title: 1H MR Spectroscopy and Diffusion MRI data reveal recovery of metabolic and microstructural alterations in the brain of chronic mild stress exposed rats

description: The data comprises longitudinal 1H MR Spectroscopy (1H MRS) data from ventral hippocampus and in-vivo diffusion MRI (d-MRI) data of the brain from control and chronic mild stress (CMS) induced anhedonic rats. In-vivo 1H MRS and d-MRI data were acquired using a 9.4 T preclinical imaging system. Data was acquired at the age of week 18 (Week 1 post-CMS exposure), week 20 (Week 3 post-CMS exposure) and week 25 (Week 8 post-CMS exposure) in the anhedonic group and at the age of week 18 and week 22 in the control group. Diffusion MRI and 1H MRS data of anhedonic rat brain are in two different ".rar" files name as "Raw_d-MRI_In-vivo" and "Raw_data_MRS". Control data at week 18 named as Ctr1_"animal number" and at the age of week 22 named as Ctr2_"animal number". Data from the anhedonic group named after a three-digit arbitrary number, a week number post-CMS exposure and again a one or two digits arbitrary number. For example, 106W1_29 is an anhedonic rat at week 1 post-CMS exposure.
DOI: 10.17632/88s6fvgg2p.4
title: Dataset of Vector Mosquito Images  

description: This is a novel dataset of images of mosquitoes belonging to three  harmful species :   Aedes Aegypti , Anopheles Stephensi and Culex Quinquefasciatus.  The dataset is valuable for training machine and deep learning models for automatic species classification based on the morphological features. Automated genera / species identification of vectors  is a valuable contribution to implement targeted  vector control strategies.
DOI: 10.17632/55nmmk535t.1
title: Pup Retrieval test of naïve and prenatally-stressed Dom and Sub mice

description: Dom and Sub dams showed similar latency to retrieve pups to the home cage nest on Day 4 (a, F1,56 = 0.05, ns), Day 6 (b, F1,56 = 0.10, ns) and on Day 8 (c, F1,56 = 0.06, ns). Dams of neither strain showed effects of prenatal restraint stress (PRS) upon retrieval latency (Day 4: F1,56 = 0.10, ns; Day 6: F1,56 = 0.33, ns; Day 8: F1,56 = 0.43, ns). Data are presented as mean ±SEM; n=15 dams.
DOI: 10.15468/dl.btb792
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2476643","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"CONTINENT","value":"southamerica","matchCase":false}]}

 The dataset includes 1548 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009233-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.