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90 results for “PLOS”
Dataset for the paper "Mental Health and Burnout during Medical School: Longitudinal Evolution and Covariates" published in PLOS ONE (2024)
<p><strong>Full reference of the paper:</strong></p> <p>Carrard V, Berney S, Bourquin C, Ranjbar S, Castelao E, Schlegel K, et al. (2024) Mental health and burnout during medical school: Longitudinal evolution and covariates. PLoS ONE 19(4): e0295100. <a href="https://doi.org/10.1371/journal.pone.0295100">https://doi.org/10.1371/journal.pone.0295100</a></p>
PLOS ONE – a case study of citation analysis of research papers based on the data in an open citation index (The OpenCitations Corpus)
<p>This is a dataset used in and produced by research described in article "PLOS ONE - a case study of citation analysis of research papers based on the data in an open citation index (The OpenCitations Corpus)" that is translation of the original Polish text "PLOS ONE – studium przypadku analizy cytowań prac naukowych na podstawie danych otwartego indeksu cytowań (OpenCitations Corpus)" published by EBiB bulletin (2017, No 176).</p> <p>Data were extracted, as nodes (PLOS_cited_nodes.csv) and edges (PLOS_edges.csv) files from the OpenCitations Corpus (http://opencitations.net/download) on 2017.07.25 and describe all cited papers published by PLOS ONE (nodes), and all citing relations (edges). The research was conducted using Gephi (https://gephi.org/) platform so the same source data are also avaiable as GEXF file (for "one-click" import capabilities). In addition, the same data are published in NET format (but be warned that due to this format limitations, information about the publication year of papers has been lost) used by PAJEK platform, as it is very popular tool for analysis of network data.</p> <p>Published figures have prefix names corresponding to figures captions in the original paper, where they have been thoroughly discussed. This data set contains also the additional figure not published in the article, showing most cited paper with citing chains of articles of lenght not greater than 3.<br> These pictures have much better quality than those published in the article, which allows for "drill down"/zoom-in analysis and large format printing.</p>
Data set for Plos One Article "Force sharing and other collaborative strategies in a dyadic force perception task"
<p>Data set for Plos One Article :</p> <p>Tatti, F., Baud-Bovy G. (2018) "Force sharing and other collaborative strategies in a dyadic force perception task". doi: 10.1371/journal.pone.0192754</p> <p>This study investigates how people might interact to extract information from the forces experienced while holding an object together. More specifically, the dyads (i.e. pairs formed two persons) participating to the study had to identify the direction of a small force applied to a jointly held object by a haptic device. This study included a condition where each participant responded independently and another one where the two participants had to agree upon a single negotiated response.</p> <p>The dataset (data.csv) contains the force produced by the haptic device and the average and standard deviation of the interaction force for all trials together with the responses of the participants. We also included the initial and final position of the haptic device and total distance traveled for each trial.</p> <p>The data are in comma separated text format and its description in a PDF document (readme.pdf).</p>
Data set for the PLOS ONE paper Expecto transitio: Exploring non-experts' techno-economic expectations of the energy future
<p>Raw data file (SPSS and .cv versions) consisting of all data used for the Plos One publication.</p> <p> </p>
Supplementary data and code to "Known allosteric proteins have central roles in genetic disease" by G. Abrusan, D. Ascher and M. Inouye, PLOS Computational Biology 18(2):e1009806.
<p>Scripts and data to reproduce the figures and supplementary figures of "G. Abrusan, D. Ascher and M. Inouye (2022) Known allosteric proteins have central roles in genetic disease." PLOS Computational Biology 18(2):e1009806. https://doi.org/10.1371/journal.pcbi.1009806.</p>
Appendix_Riedesel23_PLOS_ONE
<p>The spreadsheet is the appendix from the study by Riedesel et al. 2023 and contains the sections:</p> <p> The table lists:</p> <ol> <li>the designation of Soil Climate Regions (SCR) with SCR number and SCR name in English and original German SCR name (Table A)</li> <li> the variance of the basic model from equation 3, the variance of every single weather index (WI) model from equation 1 and the respective variance reduction (VR) from equation 2. (Table B)</li> <li>all covariates that were tested, the respective model variances with the covariate under investigation, the VR due to the incoorporation of the covariate compared to the variance of the baseline model from equation 3 and the variance inflation factor (VIF) (Table C)</li> <li>the model output of equation 1 including parameters, estimates, standard errors, degrees of freedom (df), t values and p values for each WI (Tables D-U)</li> <li>the minimal data set explaining the results displayed in Fig. 5-7 of the PLOS ONE manuscript and lists the parameters mean winter wheat yield, WI occurrence, estimated coefficient, p value, WI yield effect for each WI observed per municipality over the period 1995-2019.(Table V)</li> </ol>
Data for: Susceptibility of domain experts to color manipula-tion indicate a need for design principles in data visualization (PLoS one)
<p>This data set accompanies the paper "<strong>Susceptibility of domain experts to color manipulation indicate a need for design principles in data visualization</strong>" by Markus Christen, Peter Brugger<span> </span>and Sara Irina Fabrikant, revision submitted to PLoS One. The paper will be open access, further information will be available there.</p>
dEEG and fMRI_PLOS ONE
<p>subject and data information</p> <p>5_subjects</p> <p>self-paced motor movement task</p> <p>sampling frequency: 1000 Hz</p> <p>256 channels</p> <p>After processing files</p>
dataset for article: Ortega-Roldan, B., Rodriguez-Ruiz, S., Perakakis, P., Fernandez-Santaella, M.C., Vila, J. (2014). The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view. PLoS ONE 9(7): e102595
<p>dataset for article: Ortega-Roldan, B., Rodriguez-Ruiz, S., Perakakis, P., Fernandez-Santaella, M.C., Vila, J. (2014). The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view. PLoS ONE 9(7): e102595</p>
Dataset of paper: Supervised and Dynamic Neuro-Fuzzy Systems to Classify Physiological Responses in Robot-Assisted Neurorehabilitation (PLOS One)
<p>The data set contains number of user, user's physiological signals (Pulse, SCL, SCR, Respiration rate, Skin temperature), Label, Difficulty level from relax to stress. Label is codified from 1 to 5 corresponding to the Difficulty level.</p>
Supplementary files for: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.
<p>Supplementary files for Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.</p> <p>Files: i) shapefile of longitudinal subglacial bedform dataset; ii) spreadsheet with signed error distributions.</p> <p> </p>
Data from: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. Submitted to PLOS ONE, July 2015
<p>Georeferenced (EPSG 32610) vector file (shapefile format) containing the longitudinal subglacial bedform footprint dataset used in the study.<br /> </p>
Vanellus chilensis dataset accompanying PLOS ONE paper "Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird"
<p>Southern Lapwing <em>Vanellus chilensis</em> dataset accompanying the PLOS ONE article</p> <p>O. Jahn, T. Ganchev, M.I. Marinez and K.L. Schuchmann: Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird. DOI:10.1371/journal.pone.0169041</p> <p>---<br> BL01:<br> Background Library 01 consists of</p> <p>BL01 >> BL_CHVACH_free_final:<br> 54 hand-cleaned (<em>Vanellus chilensis</em>-free) background files and</p> <p>BL01 >> PSC008_forest:<br> 36 original soundscapes recorded inside forest, which may contain a few target signals from overflying lapwings.</p> <p>---<br> PONE_VACH_AnnualCycle_Statistics:<br> Contains the Excel files<br> - 2013CHVACH_BreedingCycle_Statistics_PONE: statistics on <em>V. chilensis</em> activity patterns, Apr. 2013 to Sep. 2013.<br> - 2013CHVACH_FalseNegatives_PONE: determination of the false negative rate based on an expert-annotated sample of 26 soundcsape recordings<br> - 2013CHVACH_FalsePositives_PONE: determination of the false positive rate based on an expert-annotated random sample of 1250 automated <em>V. chilensis</em> detections.</p> <p>---<br> TL01_BIAVCHCHVACH_20130813v2_HandCleaned:<br> Training library for the development of the <em>V. chilensis</em> recognizer, consisting of 90 hand-filtered recordings of the target species.</p> <p>---<br> VACH_Detector_results >> VACHdetectorOutput_PONE.zip:<br> TXT detector output files, listing timestamps of potential <em>V. chilensis</em> sound events.</p> <p>---<br> VACH_FNrate_20160706:<br> Validation library used to determine the false negative rate. The library consists of 26 expert-annotated sound files. Annotations were made in Adobe Audion v3.0.</p> <p>---<br> VL01_VACH_MonoB<br> and<br> VL01_VACH_MonoB:<br> Validation library used for the fine-tuning of the recognizer settings.</p> <p>---<br> Important notes on the annotation of the VACH_FNrate_20160706 library:</p> <p>1) In general, we used the procedure described in Ganchev et al. 2015 for the annotation of VACH validation libraries (see next section).</p> <p>2) However, the detector-generated timestamps were not changed! For the following reasons, it is not possible to use the VACH_FN_rate library as a validation library for the development of improved recognizer versions:</p> <p>(a) The VACH detector overlooked many of the weaker signals within a VACH call series. Therfore the detector-generated annotations are incomplete.<br> (b) For the same reason some automatically-generated detections may refer to a single VACH call event (double hits).</p> <p>Details on the method used for the annotation of the VACH validation libraries are described in Ganchev et al. 2015, pp.6100f: 2.1.3.3.Vanellus chilensis validation dataset.</p>
Dataset of "Tracking Urban Human Activity from Mobile Phone Calling Patterns" PLOS Computational Biology paper
<p>This are the dataset file for "Tracking Urban Human Activity from Mobile Phone Calling Patterns", to be published in PLOS Computational Biology.</p> <p>The files contain probability distributions of finding a first, last, or any call as a function of time, derived from anonymized call detail records for a 12 months period in the year 2007 from a mobile phone service provider in a European country. The first data file contains the data obtained fom 30 different cities. the second for the six most populated cities, splitting the data into different age and gender groups.</p> <p>Details in README files.</p>
Data from "Effects of a brief mindfulness-meditation intervention on neural measures of response inhibition in cigarette smokers", Plos One 2017
<p>32-channel(+8) raw data (Biosemi Active two, 10-20, 512Hz) unfiltered from the 2018 Plos ONE paper "Effects of a brief mindfulness-meditation intervention on neural measures of response inhibition in cigarette smokers"</p>
Dataset used in "Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations" 2018, PLOS ONE
<p>This file contains the segmented EEG data in offline and online conditions. Please read the readme.doc file for the detailed explanation.</p>
Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery (dataset, paper published in PLOS ONE)
<p>Data processed to analyze pine processionary moth defoliation.</p> <p>Digital surface model and orthomosaics derived from UAS</p>
If PLOS ONE were really 101 different specialized journals...
<p>Set of data that analyzes the subject matter of articles published in PlosOne. Period 2015-2016.</p>
Raw data: Jiang et al. Plos Computational Biology
<p>Raw data files associated with the publication</p> <p>Fine-grained, Nonlinear Registration of Live Cell Movies Reveals Spatiotemporal Organization of Diffuse Molecular Processes</p> <p>Xuexia Jiang, Tadamoto Isogai, Joseph Chi, Gaudenz Danuser*</p> <p>Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA</p> <p>*Correspondence: Gaudenz.Danuser@UTSouthwestern.edu</p> <p>The data is organized figure by figure. Time lapse image sequences are contained in folders of .tif series.</p>
Supplementary material 1 from: Zermoglio PF, Plos A, Acosta N, Amaya L, Escobar DA, Grattarola F, Mancina CA, Nuñez F, Plata CA, Quintero E, Vargas M (2020) Latin American Plea for Incorporation of Other, Non-English Languages in TDWG Standards Documentation. Biodiversity Information Science and Standards 4: e58973. https://doi.org/10.3897/biss.4.58973
Signatories to the petition for incorporation of other languages to the Biodiversity Information Standards (TDWG) standards and documentation
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.