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Dataset results
78 results for “preprint”
Widespread naturally variable human exons aid genetic interpretation (Preprint)
<p>Supplemental files for Widespread naturally variable human exons aid genetic interpretation (<a href="https://www.biorxiv.org/content/10.1101/2024.09.09.612029v1">Preprint link</a>)</p> <p> </p> <p>For newest version, click here: <a href="https://zenodo.org/records/15790343">https://zenodo.org/records/15790343</a></p> <p> </p>
Data and scripts for the preprint gmd-2021-95 (a revised verison)
<p>The datasets and Matlab scripts we upload at Zenodo on 2021-07-02 are for the reproduction of our manuscript (a revised version of the preprint gmd-2021-95) submitted to Geoscientific Model Development for possible publication. This is a model evaluation paper. We downloaded the original data kindly provided by the The UK Meteorological Office (EN4.2.1) and JAMSTEC (OFES1 and OFES2). These original data are monthly values and we calculated the annual mean fields (the archived data). The uploaded data included the zonal, meridional and vertical velocities (not for the EN4); and also the potential temperature and salinity data. We also included some grid files for the calculation of OHC or other variables in our manuscript. These data are suggested to be used only to reproduce the results in our submitted revision of the preprint gmd-2021-95. The readers can also access the original data as follows. Limited by the local network connection, we have to separate all the datasets into a couple of folders to successfully upload. </p> <p> </p> <p>Note:</p> <p>the original monthly EN4.2.1 data is downloaded from:</p> <p>https://www.metoffice.gov.uk/hadobs/en4/download-en4-2-1.html</p> <p>the original monthly OFES1 data is downloaded from:</p> <p>http://apdrc.soest.hawaii.edu/dods/public_ofes/OfES/ncep_0.1_global_mmean;</p> <p>the original monthly OFES2 data is downloaded from (temporarily suspended):</p> <p>http://www.jamstec.go.jp/esc/fes/dods/OFES2/Monthly/</p>
Data set and analysis for the preprint "Influences of local and global context on local orientation perception"
<p>This is the raw data and preprocessed one, with GNU Octave scripts for plots and analyses, for the preprint :</p> <p>https://www.authorea.com/users/596319/articles/629862-influences-of-local-and-global-context-on-local-orientation-perception</p> <p>see the readme file in the zip file for further information.</p>
Top 100-Ranked Clinical Journals' Preprint Policies as of April 23, 2020
Open the record for dataset details and reuse information.
PRW Preprint Trust Survey Data
<p>Data to support findings published here: https://deltathink.com/news-views-preprints-and-covid-19-findings-from-our-prw-survey/</p>
Data and R code for the preprint "Downscaling digital soil maps using electromagnetic induction and aerial imagery"
<p>Data and R code used in the preprint "Downscaling digital soil maps using electromagnetic induction and aerial imagery" (Møller, 2020). This is the data and code for the preprint before submission for peer review. The data and code for the revised manuscript are available at <a href="https://doi.org/10.5281/zenodo.3959005">https://doi.org/10.5281/zenodo.3959005</a>.</p> <p>Code originally written for R version 3.6.2.</p> <p>References<br> Møller, A.B., Koganti, T., Beucher, A., Iversen, B.V. and Greve, M.H., 2020. Downscaling digital soil maps using electromagnetic induction and aerial imagery. EarthArXiv. <a href="http://dx.doi.org/10.31223/osf.io/a7xz6">http://dx.doi.org/10.31223/osf.io/a7xz6</a>. [preprint]</p> <p> </p>
Data for the preprint "Intra and inter-annual climatic conditions have stronger effect than grazing intensity on root growth of permanent grasslands.", by Catherine Picon-Cochard, Nathalie Vassal, Raphaël Martin, Damien Herfurth, Priscilla Note, Frédérique Louault
<p>VariableDetailyearyear of measurementdatedate of measurementsblockName of the blocktreatmentName of treatments: Ab: abandomnent; Cattle-: low stocking rate; Cattle+: high stocking rateIDPlot replicateRootGrowthRoot growth (g m-2 day-1)SoilTSoil temperature (°C)RSWCRelative soil water contentP-PETAridity index (mm)BNPPAnnual root production (g m-2 y-1)ANPPAnnual above-ground production (g m-2 y-1) RootShootRoot to shoot ratioNNINitrogen Nutrition Index (%)DiamRoot diameter (mm)SRLSpecific Root Length (m g-1)RTDRoot Tissue Density (g cm-3)SRASpecific Root Area (m2 g-1)% 0-0.1 mmPercentage of length in the class diameter 0-0.1mm; ; % 0.1-0.2 mmPercentage of length in the class diameter 0.1-0.2mm; ; % 0.2-0.3 mmPercentage of length in the class diameter 0.2-0.3 mm% > 0.3 mmPercentage of length in the class diameter > 0.3 mmCWM_HeightCommunity-weighted mean (CWM) of plant height (cm)CWM_SLACommunity-weighted mean (CWM) of Specific Leaf Area (cm2 g-1)CWM_LDMCCommunity-weighted mean (CWM) of leaf dry matter (g g-1)RootMassStock of root dry matter (g m-2)</p>
Imperial College London COVID-19 preprints and reports Jan - Aug 20
<p>Preprints and reports published by Imperial College London authors between Jan - Aug 2020. </p> <p>Relevancy defined by "2019-nCoV", "COVID-19", "SARS-CoV-2" or "coronavirus" in Title. </p>
Data for the preprint of "Layer-by-layer unsupervised clustering of statistically relevant fluctuations in noisy time-series data of complex dynamical systems"
<p>README: description of the files. </p> <p>This Zenodo repository contains all the data and original code necessary to reproduce the results of the paper https://doi.org/10.48550/arXiv.2402.07786. The code (continuously mantained and updated) is available open-source as a Python package at https://pypi.org/project/onion-clustering/ and on GitHub (https://github.com/matteobecchi/timeseries_analysis). </p> <p>The repository contains the folders "Fig1", "Fig2" etc, which contain the corresponding Datasets, together with the code to reproduce the figures. Additionally, the folder "FigS1 contains code and data for FigS1. </p> <p>The repository also contains the Supplementary Movies S1 to S4, in .mp4 format. </p>
data and R code (including explanations) used in the preprint
<p>Contents:</p> <p>data_model_selection2.txt - used for analysing within-year variation in parasite loads via model selection and plotting Figure 1 (see R code)</p> <p>before_year_seasonal_weather2.txt - used for analysing inter-annual variation in parasite loads and plotting Figures 2-4</p> <p>Accompanying R code</p>
Supplementary material for the preprint "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution"
<p>In this repository we present the code and data for the case studies in "GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution". The GLOSSA website can be accessed at https://jmestret.github.io/glossa/. Occurrence data for <em>Thunnus albacares</em> was obtained from the OBIS database (https://obis.org/taxon/127027), for <em>Caretta caretta</em> from GBIF (https://doi.org/10.15468/dl.es7562), and for <em>Siganus luridus </em>from the GreekMarineICAS geodataset (https://doi.org/10.25607/t2smha), created as part of the ALAS (Aliens in the Aegean – A Sea Under Siege) project.</p>
Effects of Providing Preprint Preoperative Anesthetic Risk Information
ClinicalTrials.gov study NCT00816699. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Salicylic acid and RNA interference mediate antiviral immunity of plant stem cells (Previous preprint title: A hormone-activated mobile RNAi pathway defends plant stem cells from virus infection)
GEO Series GSE242499. Arabidopsis thaliana. 8 samples. Type: Expression profiling by high throughput sequencing.
Raw data for the figures in the preprint article arXiv:2402.09930
<p>Raw data for the figures in the preprint article arXiv:2402.09930.</p>
Genome assemblies related to preprint "European Farmhouse Brewing Yeasts Form a Distinct Genetic Group"
Open the record for dataset details and reuse information.
Raw data of: "Spectral broadening of μJ-level pulses around 8 μm in a Germanium-based multi-pass scheme - preprint"
<p>In this repository you can find data and further information about data collection and processing relative to the preprint version of the research article "Spectral broadening of μJ-level pulses around 8 μm in a Germanium-based multi-pass scheme".</p>
Raw data for the figures in the preprint article arXiv:2301.04986
<p>Raw data for the figures in the preprint article arXiv:2301.04986</p>
Video accompanying the basic mechanics of preprint manuscript doi:10.5281/zenodo.439108
<p>When a body say a toy car slides down an inclined plane with angle of inclination less than 45 degree the downward and forward motion of the toy car can be restricted without extra tension by a thread or support perfectly parallel to the horizontal .This enables construction of a plane solid surface where an object can rest with part of it's weight unsupported even at the position of rest as described mathematically in preprint manuscript 10.5281/zenodo.439108.</p>
ScienceDex guides
Understand access before you commit
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.