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”
Evaluation of global forcing data sets for hydropower inflow simulation in Nepal
<p>We are thankful to the Department of Hydrology and Meteorology, Government of Nepal for providing observed hydrological and Meteorological data sets for this study. Some of the data presented here are subject of copyright so we request to contact author (corresponding author: bikasbhattarai@gmail.com) for further use for publication. </p>
Weak signal enhancement by non-linear resonance control in a forced nano-electromechanical resonator
<p>All the data for figures shown in the article entitled "Weak signal enhancement by non-linear resonance control in a forced nano-electromechanical resonator"</p>
Dataset for: Entrainment of mammalian motile cilia in the brain with hydrodynamic forces
<p>Please read the README.md for information on how to handle the dataset.</p>
Simulation of POPC:POPE 1:1 membrane with the Slipids force field
<p>A POPC:POPE 1:1 bilayer with 100 lipids per leaflet is simulated for 300 ns using the Slipids model and Gromacs simulation engine version 2019.4. The trajectory (.xtc) is saved every 100ps. The simulation parameters (.mdp), the energy file (.edr), the continue point to extend the simulation (.cpt), the run input parameters (.tpr), and the final structure (.gro) are also given. The lipid topologies (.itp) are provided, and the Slipids force field is available at http://www.fos.su.se/~sasha/SLipids/</p>
Supplementary videos for "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in vitro Paclitaxel- Stabilized Microtubules"
<p>Supplementary videos for MDPI Crystals manuscript "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in <em>vitro</em> Paclitaxel- Stabilized Microtubules "</p>
Video for: The role of hydrodynamic forces in synchronisation and alignment of mammalian motile cilia
<p>Here you can find all the videos of the PhD thesis: </p> <p>The role of hydrodynamic forces in synchronisation and alignment of mammalian motile cilia.</p> <p>by Nicola Pellicciotta</p> <p>Video1: This example shows a movie of a single cell, being subjected to an external oscillatory flow. Images were acquired at 500\,fps using a 60X objective, then analysed using background subtraction and spatial median filter of 3x3 pixels. Chapter 3</p> <p>Video 2: we show the entrainment of a group of cells with very strong oscillatory external flow $v_\mathrm{EX}= 2$\,mm/s at $f_\mathrm{EX}=12$\,Hz. This s flow induced entrainment and also alignment of beating direction of some cells that were beating misaligned to the external flow. The original direction of beating was recovered after the flow stopped. Chapter 3</p> <p>Video3 and Video4: we depolymerised cell actin by adding 2uM Cytochalasin-D in the cell culture medium for 48hr. After imaging, cells (control and dug treated) were stained in 4\% PFA for 10 minutes, permeabilised with Triton x-100 0.1\% in PBS, and incubated for 1 hour with Nucblue R37605 (1 drop for mL of PBS) and with phalloidin for actin (Sir-Actin, 0.2 uM) following proprietary protocols. Z-stack were taken with confocal microscope (slices of distance of 0.15um each) and can be found at the following links: DMSO treated cells (control) Video 3, and Cytochalasin-D treated, Video 4. Chapter 3</p> <p>Video5: The maximal beating amplitude for a cilium within each cell was measured by inspecting the recordings from top view and marking two extreme points at the power and recovery stroke. Chapter 3</p> <p>Video6: Experimental procedure and the image analysis methods for Chapter 4. Continuous fluid flow is applied for three days on cells cultured in Transwell-chips. The chips are then removed from the flow and cilia motility is imaged with the microscope. From high speed Bright Field movies we identify ciliary beating frequency and cell position, while from tracer particles we measure ciliary beating direction. </p> <p>Video7: Video of Propelled particles in a culture at 29 DIV and treated with shear stress τ ≈0.8 dyne/cm2. Chapter 4</p> <p> </p>
CICE gx1 COREII Forcing Data - 2020.03.20
<p>This file contains the gx1 COREII forcing data for CICE. </p> <p>The latest information about CICE forcing data and files can be found at the GitHub Resource Index: <a href="https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index">https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index</a> under the "Input Data" link.</p> <p>These data are provided by the CICE Consortium (<a href="https://github.com/CICE-Consortium">https://github.com/CICE-Consortium</a>).</p>
CICE gx1 JRA55 Forcing Data - 2020.03.20
<p>This file contains the gx1 JRA55 forcing data for CICE. </p> <p>The latest information about CICE forcing data and files can be found at the GitHub Resource Index: <a href="https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index">https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index</a> under the "Input Data" link.</p> <p>These data are provided by the CICE Consortium (<a href="https://github.com/CICE-Consortium">https://github.com/CICE-Consortium</a>).</p>
Icepack Forcing Data - 2020.03.26
<p>This file contains the near surface data required for testing Icepack at a single point.<br> The latest information about CICE or Icepack forcing data and files can be found at the GitHub Resource Index: <a href="https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index">https://github.com/CICE-Consortium/About-Us/wiki/Resource-Index</a> under the "Input Data" link.</p> <p>These data are provided by the CICE Consortium (https://github.com/CICE-Consortium).</p>
FIGURE 3 in Maximum Bite Force and Prey Size of Tyrannosaurus rex and Their Relationships to the Inference of Feeding Behavior
FIGURE 3 Cranial morphology and jaw adductor musculature. Differences in the posterior width of the skull, relative to the tooth rows, may be constrained, together with tooth shape, by biting strategies such as crushing or penetration. The rather broadly-set tooth rows of Allosaurus fragilis (illustration modified after Madsen, 1976) appear to provide most theropods with a sufficiently concentrated bite force to facilitate lethal, penetrating bites. The expanded posterior part of the skull of Tyrannosaurus rex allowed for jaw adductor muscles with more cross-sectional area (illustration modified after Osborn, 1912). This suggests an atypically high bite force in this taxon, compared to most other theropods. The combination of a high bite force with comparatively broad, conical teeth implies adaptation for crushing the relatively greater mass of flesh and/or bones of large prey. This suggests that T. rex may have fed in significantly different ways from the majority of large theropods.
FIGURE 1 in Maximum Bite Force and Prey Size of Tyrannosaurus rex and Their Relationships to the Inference of Feeding Behavior
FIGURE 1 Effect of prey size on penetrating bites. Non-vital tissues of prey animals, such as integument and muscle, serve as barriers to predators seeking to inflict lethal damage on their prey. Assuming some minimum depth of penetration is required for a lethal bite, the depth of tissue through which a predator's teeth must penetrate increases linearly with increasing prey size. However, frictional resistance between flesh and teeth increases more rapidly than this. For a simple cone, frictional resistance increases with the square of the linear increase in depth of penetration. This results, for example, in four times the amount of frictional resistance to penetration that is twice as deep. A subconical tooth of Tyrannosaurus rex was modeled by computer and its engaged surface area was calculated for bites to 2 and 4 cm depth. In the latter case, the surface area of the tooth engaged is approximately three times that for a 2cmbite, due to the moderate lateral compression of T. rex teeth.
FIGURE 2 in Maximum Bite Force and Prey Size of Tyrannosaurus rex and Their Relationships to the Inference of Feeding Behavior
FIGURE 2 Skull morphology and crushing bites. Typical theropods have dentary teeth that are aligned just medial to the maxillary teeth, (a) This results in forces that are almost directly opposed when the teeth, exemplified here by those of Allosaurus fragilis, engage a food item, (b) In contrast, the dentary and maxillary teeth of Tyrannosaurus rex do not generate directly opposed forces in biting. Rather, the medially aligned dentaries tend to concentrate force near midline. In bilateral biting, the resulting stress on the prey is well-suited to crushing either bone or soft tissues.
Day of COREII forcing for FESOM2
<p>One day of COREII forcing necessary to run FESOM2 simulations.</p> <p>Original data <a href="https://data1.gfdl.noaa.gov/nomads/forms/core/COREv2.html">https://data1.gfdl.noaa.gov/nomads/forms/core/COREv2.html</a></p>
Perch positioning affects laying hen locomotion and forces experienced at the keel - FULL DATA SET
<p>Full data set for publication in Animals</p> <p><strong>Perch positioning affects laying hen locomotion and forces experienced at the keel</strong></p> <p><em>Christina Rufener, Ana K. Rentsch, Ariane Stratmann, Michael J. Toscano</em></p>
Dataset for article titled "The influence of packing structure and interparticle forces on ultrasound transmission in granular media"
<p>Dataset containing supporting materials for article titled "The influence of packing structure and interparticle forces on ultrasound transmission in granular media". An enclosed PDF file describes the data.</p>
Supporting material for "Reappraisal of the effective radiative forcing of ozone-depleting substances"
<p>This is a companion repository, containing data and scripts needed to reproduce the figures and table entries in Morgenstern et al, Reappraisal of the effective radiative forcing of ozone-depleting substances, Geophysical Research Letters, 2020. For more information, please read the README.TXT file which is part of this repository.</p>
Experimental data for 'The transfer of forces through rough surface contact in concrete'
<p>The data contained in this archive was produced within the research project described in the following thesis:<br> <em>Tirassa M. (2020). The transfer of forces through rough surface contact in concrete. Ph.D. Thesis, EPFL, Lausanne, Switzerland.</em><br> The research project was funded by the Swiss National Science Foundation through research grant 200021_169649.<br> The data relates to the topic of force transfer across concrete cracks and interfaces (rebar-to-concrete) subjected to mixed mode kinematics with constant opening angle. It comprises the measured forces (normal and tangential) and displacements (crack opening and sliding). Moreover, some of the resulting surfaces (scanned using a digital microscope) are included.</p>
Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"
<p>Data and code underlying the publication <a href="https://tc.copernicus.org/preprints/tc-2019-330/">"The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"</a>.</p> <p>Journal: The Cryosphere</p> <p>Authors: <em>Ronja Reese<sup>1*</sup></em><em>, Anders Levermann</em><sup><em>1,2,3</em></sup><em>, Torsten Albrecht</em><sup><em>1</em></sup><em>, Hélène Seroussi<sup>4</sup></em><em>, Ricarda Winkelmann<sup>1,2 </sup></em></p> <p>(1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany</p> <p>(2) Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany</p> <p>(3) LDEO, Columbia University, New York, USA</p> <p>(4) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA</p> <p>(*) email ronja.reese@pik-potsdam.de</p> <p>Abstract:<br> Mass loss from the Antarctic Ice Sheet constitutes the largest uncertainty in projections of future sea level rise. Ocean-driven melting underneath the floating ice shelves and subsequent acceleration of the inland ice streams is the major reason for currently observed mass loss from Antarctica and is expected to become more important in the future. Here we show that for projections of future mass loss from the Antarctic Ice Sheet, it is essential (1) to better constrain the sensitivity of sub-shelf melt rates to ocean warming and (2) to include the historic trajectory of the ice sheet. In particular, we find that while the ice sheet response in simulations using the Parallel Ice Sheet Model is comparable to the median response of models in three Antarctic Ice Sheet Intercomparison projects – initMIP, LARMIP-2 and ISMIP6 – conducted with a range of ice sheet models, the projected 21st century sea level contribution differs significantly depending on these two factors. For the highest emission scenario RCP8.5, this leads to projected ice loss ranging from 1.4 to 4.0 cm of sea level equivalent in the ISMIP6 simulations where the sub-shelf melt sensitivity is comparably low, opposed to a likely range of 9.2 to 35.9 cm using the exact same initial setup, but emulated from the LARMIP-2 experiments with a higher melt sensitivity based on oceanographic studies. Furthermore, using two initial states, one with and one without a previous historic simulation from 1850 to 2014, we show that while differences between the ice sheet configurations in 2015 are marginal, the historic simulation increases the susceptibility of the ice sheet to ocean warming, thereby increasing mass loss from 2015 to 2100 by about 50 %. Our results emphasize that the uncertainty that arises from the forcing is of the same order of magnitude as the ice dynamic response for future sea level projections.</p> <p>Large zip files contain data, small zip file python notebooks for data analysis and PISM code. Please contact ronja.reese@pik-potsdam.de if you have any further questions.</p>
supplementary video for the manuscript "Parallelized manipulation of adherent living cells by magnetic nanoparticles-mediated forces"
<pre><strong>Video S6: Parallelized magnetic control of Hela cells</strong></pre> <pre><strong>Video S7: Parallelized magnetic control of SHSY-5Y cells</strong></pre> <pre><strong>Video S8: Parallelized magnetic control of cortical neurons</strong></pre> <pre><strong>Video S9: Parallelized magnetic control of cortical neurons</strong></pre> <pre><strong>Video S10&S11: Parallelized magnetic control of PC12 cells</strong></pre> <pre><strong>Video S12: Lysosome labeling of Hela cells</strong></pre> <pre><strong>Video S13: Late endosome labeling of Hela cells</strong></pre>
Data from: Feline immunodeficiency virus in puma: estimation of force of infection reveals insights into transmission
Determining parameters that govern pathogen transmission (such as the force of infection, FOI), and pathogen impacts on morbidity and mortality, is exceptionally challenging for wildlife. Vital parameters can vary, for example across host populations, between sexes and within an individual's lifetime. Feline immunodeficiency virus (FIV) is a lentivirus affecting domestic and wild cat species, forming species-specific viral--host associations. FIV infection is common in populations of puma (Puma concolor), yet uncertainty remains over transmission parameters and the significance of FIV infection for puma mortality. In this study the age-specific FOI of FIV in pumas was estimated from prevalence data, and the evidence for disease-associated mortality was assessed. We fitted candidate models to FIV prevalence data and adopted a maximum likelihood method to estimate parameter values in each model. The models with the best fit were determined to infer the most likely FOI curves. We applied this strategy for female and male pumas from southern California, Colorado, and Florida. When splitting the data by sex and area, our FOI modelling revealed no evidence of disease-associated mortality in any population. Both sex and location were found to influence the FOI, which was generally higher for male pumas than for females. For female pumas at all sites, and male pumas from California and Colorado, the FOI did not vary with puma age, implying FIV transmission can happen throughout life; this result supports the idea that transmission can occur from mothers to offspring and also throughout adult life. For Florida males, the FOI was a decreasing function of puma age, indicating an increased risk of infection in the early years, and a decreased risk at older ages. This research provides critical insight into pathogen transmission and impact in a secretive and solitary carnivore. Our findings shed light on the debate on whether FIV causes mortality in wild felids like puma, and our approach may be adopted for other diseases and species. The methodology we present can be used for identifying likely transmission routes of a pathogen and also estimating any disease-associated mortality, both of which can be difficult to establish for wildlife diseases in particular.
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.