Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,670
datasets available to search
ShareScore release 0.9.0
Dataset results
1,670 results for “FORCE”
Global Daily River Discharge product at 0.5° resolution from ISBA-CTRIP simulations based on ERA5-GPCC forcing from 1950 to 2023
<p>This product provides <strong>global daily river discharge at a resolution of 0.5 degree from 1950 to 2023</strong>. It is derived from an offline simulation conducted with the <a href="http://www.umr-cnrm.fr/spip.php?article1092&lang=en" target="_blank" rel="noopener">ISBA-CTRIP</a> global land surface modeling system (<a href="https://doi.org/10.1029/2018MS001545" target="_blank" rel="noopener"><em>Decharme et al. </em>2019</a>) embedded in the <a href="http://www.umr-cnrm.fr/spip.php?article145&lang=en" target="_blank" rel="noopener">SURFEX</a> version 8 modeling platform. It was designed for use in large-scale hydrological applications, as well as in the the <a href="http://www.umr-cnrm.fr/cmip6/spip.php?rubrique8" target="_blank" rel="noopener">CNRM climate models</a> that participate in <a href="https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6" target="_blank" rel="noopener">CMIP6</a> but also in large scale hydrological applications. The model is driven by meteorological forcing data (temperature, precipitation, humidity, winds, etc) derived from the <a href="https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5" target="_blank" rel="noopener">ERA5</a> global atmospheric reanalysis, but where montly precipitation is corrected to align with the <a href="https://www.dwd.de/EN/ourservices/gpcc/gpcc.html" target="_blank" rel="noopener">GPPC</a> observed precipitation product. GPCC <a href="https://opendata.dwd.de/climate_environment/GPCC/html/fulldata-monthly_v2022_doi_download.html">Full Data Monthly Product Version 2022</a> at 0.5 degree resolution are used from 1950 to 2020. For the last three years (2021 to 2023), we used the GPCC <a href="https://opendata.dwd.de/climate_environment/GPCC/html/gpcc_monitoring_v2022_doi_download.html" target="_blank" rel="noopener">Monitoring Product Version 2022</a>, which is only available at 1 degree resolution, and then interpolated at 0.5 degree using a conservative remapping.</p>
Bite force transmission and mandible shape in grasshoppers, crickets, and allies is not driven by dietary niches
<p>This is the R code and raw data to reproduce the analyses of the manuscript "Bite force transmission and mandible shape in grasshoppers, crickets, and allies is not driven by dietary niches"</p>
PMMA tensile test until failure, loaded in force
<p>This document present the tensile test results for PMMA (acquired from McMaster). Digital Image Correlation (DIC) was used to measure displacements during the test. Results obtained provide the stress-strain plot, the evolution of Poisson's ratio and Young's Modulus over time. Such results could be compared with simulation results or used as part of an experimental dataset.<br> Raw results and a complete dataset are provided with this data package.</p>
Muscle activity, ground reaction forces and pointing performance during postural control tasks in healthy adults
<p>To investigate the muscle coordination during postural control, we recorded muscle activity and postural dynamics in healthy human adults. Fourteen participants performed postural tasks in which postural stability and pointing behaviour was varied. The data set contains electromyography of 36 muscles distributed across the body and ground reaction forces recorded during postural control tasks. A full factorial design was used. Stability was either not challenged or challenged in the anterior-posterior or medial-lateral direction. In addition, participants were asked to either relax their arms or to perform an unimanual or a bimanual pointing task. In the pointing task, participants held a laser pointer and pointed it on a target in front of them. Pointing performance was recorded using a video recording of the laser beam on the target area.</p> <p>InformationData.pdf – Description of data acquisition and file structure<br> EMG.zip – EMG data<br> FP.zip – Force plate data<br> Video.zip – Video feed</p>
ROMS dataset to investigate the effect of tidal forcing
<p>The model used is the Regional Ocean Modelling System (ROMS), a realistic three-dimensional oceanographic model that solves the primitive equations with a stretched terrain-following vertical coordinate. The model domain spans the entire Mozambique Channel eddies as well as the Mozambique Channel outflow into the Agulhas current near 24 S. It encompasses the region 30 E - 50 E and 5 S - 35 S with a 1/12 degree horizontal resolution. The model bathymetry was derived from the Global Earth Bathymetric Chart of the Oceans (GEBCO) 1-resolution dataset. The vertical grid was divided into 40 terrain-following layers.</p> <p>Boundary conditions are extracted from the Simple Ocean Data Assimilation reanalysis data (SODA) v2.1.6 over a 1990-2008 interannual simulations. The daily averaged surface forcing used in the ROMS simulation is derived from the NCEP Climate Forecast System Reanalysis (CFSR).</p> <p>The model is integrated for 18 years and the full 1990-2008 period is analysed at a daily resolution.</p> <p>The "roms_Mmean_tides.nc" is the first experiment conducted including tidal forcing. Barotropic tides were introduced at the model lateral open boundaries using a flather radiation condition to force velocities and sea surface elevations from the TPXO global tidal solution.</p> <p> </p> <p>The "roms_Mmean_notides.nc" is the second experiment conducted without tidal forcing.</p>
Investigating sensitivity of East Asian monsoon to orbital forcing during the Late Pliocene warm period
<p>CESM model outputs in a set of orbital sensitivity runs for the Late Pliocene.</p> <p>Only for the East Asia region</p> <p> </p>
Optically measured torsional waves on cello string bowed at varying bow force
<p>Transverse and torsional vibrations of a cello G string made of steel, product name "Pirastro Chromcor medium". Find string properties below. String mounted on a monochord and tuned to approximately 98 Hz.</p> <p>Measurements by a high speed camera at 7000 frames per second, on axis with the bowed string (displacement < 20°).</p> <p>Transverse: optical marker on the string (transverse), 70 mm away from the bridge, 10 mm away from the bow contact point.</p> <p>Torsional: optical marker at each end of two needles (top, and bottom, each 4mm long, total weight including marker 0.002 g), 70 mm away from the bridge, 10 mm away from the bow contact point.</p> <p>Manual bowing by experienced player, bowing at the target contact point 80 mm away from bridge, while each individual stroke represents a certain level of bow pressure. Only regular Helmholtz motion is excited on the string. For each level (high, medium, low) the player adjusted bow velocity reasonably.</p> <p>* Raw data: movies</p> <p>Torsion3.avi : medium bow force<br> Torsion5.avi : low bow force<br> Torsion6.avi : high bow force<br> </p> <p>* Data, 1st level of abstraction: extracted traces using subpixel tracking</p> <p>Tables in *.mqa format hold pixel row and column of extracted optical marker (top,transverse, botteom) for respective bow force (3=medium, 5=low,6=high).</p> <p> </p> <p>* Data, 2nd level of abstraction: angle of torsional displacement as derived from optical markers and geometry, versus bow force</p> <p>torsion_angle_vs_3_force_levels (eps, and MATLAB fig).</p> <p> </p> <p>* String properties</p> <p>mass per unit length g/m 6.15</p> <p>diameter mm 1.19</p> <p>nominal tension N 121</p> <p>transverse wave speed <em>v<sub>tra</sub></em> m/s 133</p> <p>transverse wave impedance <em>Z<sub>0</sub></em> kg/s 0.93</p> <p>torsional fundamental frequency Hz 543</p> <p>torsional wave speed <em>v<sub>tor </sub></em>m/s 738</p> <p> </p>
Non-linear analysis of pedalling forces in cycling
<p>The dataset contains raw data and the data underlying the figures and tables of the following research article: </p> <p>"Non-linear analysis of pedalling forces in cycling"</p> <p>Journal: PLOS ONE</p> <p>Manuscript Nr: PONE-D-18-13682</p>
A-FORCE BC data from U-Tokyo
<p>Please see the README file included in each ZIP file.</p>
Data for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"
<p><strong>Data repository for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"</strong></p> <p>Here we describe the data stored in this archive, which has been used for the manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing", submitted to Geophysical Research Letters. This data archive includes two primary folders, one containing the CESM data and one containing the 2D model data. Within each of those folders are appropriately titled subfolders for the different model simulations and variables, in accordance with the descriptions provided in the manuscript. The following provides a description of the data within each folder: </p> <p><br> ----------------------------------------<br> ------------- CESM DATA --------------<br> ----------------------------------------<br> The CESM data folder has been split into four subfolders, one for each simulation: Control simulation (CESM_controlrun), 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun), the longer repeat of the 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun_repeat), and the 0.15 Sv freshwater flux simulation (CESM_0pt15Sv_FWFrun). Within each of these can be found folders for each of the 6 variables we have used: 4D temperature fields (TEMP), 4D salinity fields (SALT), 4D potential density fields (PD), 3D MOC fields (MOC), 3D mixed layer depth fields (HMXL), and 2D meridional heat transport fields (N_HEAT). Each CESM data file (one per monthly time step) is saved in netcdf format (.nc4), containing all appropriate dimensional data and descriptive meta data. Note that only the data used in the manuscript has been stored (e.g. only MOC data is provided for the CESM_0pt15Sv_FWFrun, while all fields have been provided for the CESM_0pt1Sv_FWFrun). </p> <p>----------------------------------------<br> ------------ 2D MODEL DATA -----------<br> ----------------------------------------<br> As described in the manuscript, the 2D model has been run using various choices of input parameter and freshwater flux. For each selection of parameter choice a new control run is first required, from which a set of experiments is then initiated. The 2D model data folder therefore contains 2 main subfolders, one containing the control run data for each of set of parameter choices (control_runs),and one containing the freshwater perturbation experiments for each set of parameter choices (fwp_change_exps). Within those, each control and experiment folder is titled according to the choices of vertical viscosity (kvd), Southern Ocean wind stress perturbation (txp), and the freshwater perturbation (fwp); when absent from the title, the default value for that variable is used (i.e. kvd=1e4 m2/s; txp=0.2 N/m2). The naming convention for the Southern Ocean wind stress is minpt07 for 0.13 N/m2 (i.e. minus 0.07) and pt07 for 0.27 N/m2. </p> <p>Model output data has been provided in ascii format for: the 2D Eulerian AMOC fields (MOC_EUL.dat.dat), 2D Quasi-Lagrangian fields (MOC_QLag.dat), 2D Salinity fields (salt2D.dat), 2D temperature fields (temp2d.dat), 2D density fields (rho.dat), the latitude values (ytdeg.dat; ydeg.dat) and depth values (zt.dat, zw.dat), and the timeseries values for a number of variables (timeseries.dat): The timeseries.dat data has 19 columns, of which the first 13 are useful: </p> <p> column: description:<br> 1 time (year)<br> 2 mean basin temperature (deg.C)<br> 3 mean basin salinity (psu)<br> 4 mean basin density (kg/m3) <br> 5 kinetic energy (KE) density<br> 6 potential energy (PE)<br> 7 mean surface heat flux<br> 8 mean surface salinity flux<br> 9 minimum meridional overturning streamfunction (Sv)<br> 10 maximum meridional overturning streamfunction (Sv)<br> 11 minimum advective poleward heat transport (PW)<br> 12 maximum advective poleward heat transport (PW)<br> 13 MOC (Sv) = max(psi) in the north Atlantic</p> <p>The final subfolder in the 2D model directory is titled 'additional_data': The first folder contains the snapshot data (fwp025_snapshots; one subfolder for each snapshot) for the experiment run with 25 cm/s freshwater flux as shown in Fig. S6, in which the data is stored in the same format as described above. The second folder contains the tendency terms as shown in Fig. S7 (fwp025_tendency; one subfolder per tendency term for each of the control and 25 cm/s freshwater flux experiment), in which the data is provided in ascii format for the 2D tendency term and the depth and latitude values. </p>
NaCl force field study: All the radial distribution functions and final configurations (PDB)
<p>The package contains all the radial distribution functions and final configurations (PDB) from our NaCl force field study</p> <ul> <li><a href="http://dx.doi.org/10.1002/jcc.10417">Systematic comparison of force fields for microscopic simulations of NaCl in aqueous solutions: Diffusion, free energy of hydration and structural properties</a>, M. Patra and M. Karttunen, physics/0211059. J. Comp. Chem. 25, 678-689 (2004) .</li> </ul> <p> </p> <p> </p>
Data for Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States
<p>This repository contains the raw data used in Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States. These data were downloaded in February 2018 from the U.S. Census Bureau’s American Community Survey website at https://www.census.gov/programs-surveys/acs. The code used to analyze these data and intermediate datasets derived from them is available in GitHub at https://github.com/JohnPalmer/bosnian_settlement.</p>
Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)
<p>Data used in manuscript "Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)" for Geoscientific Model Development. </p> <p>Uploaded data includes GETM output and used source code (FABM+GOTM+GETM).</p>
Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech
<p>An interactive user interface and the raw data from the manuscript titled: "Ground reaction force metrics are not strongly correlated with tibial bone load when running across speeds and slopes: implications for science, sport and wearable tech". </p>
Data from "Quantitative determination of atomic buckling of silicene by atomic force microscopy"
<p>Data From the publication "Quantitative determination of atomic buckling of silicene by atomic force microscopy"</p>
Figure 1 in Bioacoustic study of a sound produced with forced air by larvae of Phileurus didymus (Linnaeus) (Coleoptera: Scarabaeidae: Dynastinae: Phileurini)
Figure 1. Phileurus didymus third instar larvae.
Atmospheric forcing and OGCM conditions for the year 2019 over the South China Sea
<p>The atmospheric forcing (<a href="13253327" target="_blank" rel="noopener noreferrer">atmospheric_ECMWF_forcing.tar</a>) comes from the 3-hourly output of the ECMWF 1/8<sup>o</sup> atmospheric analysis.</p> <p>Initial ocean conditions and lateral ocean boundary conditions are prescribed from the daily outputs of the global ocean 1/12<sup>o</sup> analysis PSY4QV3R1 from the Copernicus Marine and Environment Monitoring Service (CMEMS) (<a href="13253327" target="_blank" rel="noopener noreferrer">copernicus_OGCM_forcing.tar</a>).</p> <p>The data cover the entire year of 2019.</p> <p> </p>
From Redirected Navigation to Forced Attention: Uncovering Manipulative and Deceptive Designs in Augmented Reality through Retail Shopping
<p>In the dataset, there are two types of files: one (1) Excel file and ten (10) PDF files.</p> <p>The Excel file contains data analysis and coding.</p> <p>The PDF files are organized by session. <br>Each PDF file contains screenshots of various scenarios and their corresponding discussions. <br>Each PDF has 12 pages, except for Session 8, which was not completed due to technical problems. <br>The files are organized as follows:</p> <p>Page 01 - Scenario 1: Navigation & Attention phase, Grocery Shopper<br>Page 02 - Scenario 2: Navigation & Attention phase, AR User<br>Page 03 - Scenario 3: Interest & Desire phase, Grocery Shopper<br>Page 04 - Scenario 4: Interest & Desire phase, AR User<br>Page 05 - Scenario 5: Action phase, Grocery Shopper<br>Page 06 - Scenario 6: Action phase, AR User<br>Page 07 - Discussion of Scenario 1<br>Page 08 - Discussion of Scenario 2<br>Page 09 - Discussion of Scenario 3<br>Page 10 - Discussion of Scenario 4<br>Page 11 - Discussion of Scenario 5<br>Page 12 - Discussion of Scenario 6</p> <p>The MIRO Board can be found at the following link:<br>https://miro.com/app/board/uXjVM23rRP8=/?share_link_id=82923580188</p>
Developing and Benchmarking Sulfate and Sulfamate Force Field Parameters via Ab Initio Molecular Dynamics Simulations to Accurately Model Glycosaminoglycan Electrostatic Interactions
<p>To cite and for more details: Riopedre-Fernandez et al. <em>J. Chem. Inf. Model.</em> <strong>2024</strong>, 64 (18), 7122–7134. DOI: <a href="https://doi.org/10.1021/acs.jcim.4c00981">https://doi.org/10.1021/acs.jcim.4c00981</a></p> <p>The dataset includes molecular dynamics simulations of sulfated saccharides and their sulfated analogs in the presence of calcium cations in aqueous solution. Several force field parameter sets were compared (CHARMM36, GLYCAM06, AMOEBA, Drude) and new have been developed (prosECCo75 and GLYCAM-ECC75).</p> <p>The uploaded files contain the following simulation input files or/and simulation trajectories:</p> <p>1) Sulfated_Molecules_Umbrella_Sampling_AIMD: Umbrella sampling ab initio molecular dynamics simulations of calcium-methylsufate and calcium N-methylsulfamate ion pairs in water.</p> <p>2) Sulfated_Molecules_Umbrella_Sampling_FFMD: Umbrella sampling force field molecular dynamics simulations of calcium-methylsufate and calcium N-methylsulfamate ion pairs in water.</p> <p>3) Sulfated_Molecules_AWH_FFMD: Accelerated weight histogram force field molecular dynamics simulations of calcium interacting with both methylsufate and N-methylsulfamate in water.</p> <p>4) Disaccharides_FFMD: Unbiased force field molecular dynamics simulations of calcium-sulfated disaccharide aqueous solutions.</p> <p>UPD. Version 2.0 has updated one of the disaccharide-containing simulations (GLYCAM06, N-sulfation) due to incorrect calcium LJ parameters in the original upload.</p>
North-America-Jan-2019-Forcing-Data
<p>This is the forcing data for North America that was used as part of PAW-ATM 2024 workshop that is held in conjunction with SC24.</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.