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Dataset results
185 results for “Granular”
Synaptic currents through Purkinje cells in response to a single impulse in the granular layer
<p>Synaptic currents through Purkinje cells in response to a single impulse in the granular layer</p>
Data From: Investigation of nonlocal granular fluidity models using nuclear magnetic resonance
<p>This data set contains the rheo-NMR data presented in the article: Clarke D.A., Poata, J., Galvosas, P., and Holland, D.J. Investigation of nonlocal granular fluidity models using nuclear magnetic resonance. <em>Physics of Fluids</em> 1 May 2024; 36 (5): 053317. <a href="https://doi.org/10.1063/5.0203032" target="_blank" rel="noopener">https://doi.org/10.1063/5.0203032</a></p> <p> </p> <p>Edit History:</p> <ul> <li> 01-MAR-2024: Updated title to match change made to submitted article.</li> <li> 09-MAY-2024: Included journal issue information and DOI.</li> </ul>
TEXT-FIGURE 4. Minutella cf. minuta (Cooper, 1981), "La Passe bateau" off the south-west coast of Mayotte Island. (1a–e) MNHN-IB-2017-173. a–d. Juvenile articulated specimen in dorsal, oblique lateral, posterior oblique views, and close-up of the posterior part of the shell (the protegulum is clearly limited by a step-like growth line and its surface is slightly granular; the rugideltidium is already well developed whereas the interarea remains reduced). e. Dorsal valve interior in plan view (early ju- venile stage in the ontogeny of the dorsal valve). (2a–c) MNHN-IB-2017-174: dorsal valve interior with well-preserved spicular canopies in plan and oblique posterior views, and close-up of the spicular canopy. (3) MNHN-IB-2017-175: articulated speci- men (young stage of growth). (4) MNHN-IB-2017-176: dorsal valve interior of a young specimen in plan view. in Recent thecideide brachiopods from a submarine cave in the Department of Mayotte (France), northern Mozambique Channel
TEXT-FIGURE 4. Minutella cf. minuta (Cooper, 1981), "La Passe bateau" off the south-west coast of Mayotte Island. (1a–e) MNHN-IB-2017-173. a–d. Juvenile articulated specimen in dorsal, oblique lateral, posterior oblique views, and close-up of the posterior part of the shell (the protegulum is clearly limited by a step-like growth line and its surface is slightly granular; the rugideltidium is already well developed whereas the interarea remains reduced). e. Dorsal valve interior in plan view (early ju- venile stage in the ontogeny of the dorsal valve). (2a–c) MNHN-IB-2017-174: dorsal valve interior with well-preserved spicular canopies in plan and oblique posterior views, and close-up of the spicular canopy. (3) MNHN-IB-2017-175: articulated speci- men (young stage of growth). (4) MNHN-IB-2017-176: dorsal valve interior of a young specimen in plan view.
Formation and evolution of shear structures in sheared granular gouge
<p>The original data for paper titiled "Formation and evolution of shear structures in sheared granular gouge".</p>
Quantifying 3D time-resolved kinematics and kinetics during rapid granular compaction, Part II: dynamics of heterogeneous pore collapse
<p>Dataset containing the raw X ray CT data, experimental XPCI images and input files for Abaqus simulations for the article titled ' Quantifying 3D time-resolved kinematics and kinetics during rapid granular compaction, Part II: dynamics of heterogenous pore collapse' . </p>
Dataset_ 3D Printable κ-Carrageenan-Based Granular Hydrogels
Open the record for dataset details and reuse information.
Experimental investigation on dynamics and flow resistance of granular-fluid flows
<p><span>Dataset related to the manuscript “Experimental investigation on dynamics and flow resistance of granular-fluid flows”, submitted to the </span><em><span>Journal of Geophysical Research: Earth Surface</span></em><span>.</span></p>
Nonsmooth simulations of 3D Drucker-Prager granular flows and validation against experimental column collapses
<p> </p> <p># About</p> <p>This archive aims to reproduce the results of the article entitled: "***Nonsmooth simulations of 3D Drucker-Prager granular flows and validation against experimental column collapses***" *by Gauthier Rousseau, Thibaut Métivet, Hugo Rousseau, Gilles Daviet, and Florence Bertails-Descoubes*</p> <p> </p> <p>## Contents</p> <p> </p> <p>- The experimental data: raw videos, experimental information, velocity and profiles</p> <p>- The `sand6py` code which is a fork of [Daviet PhD][1] `sand6` code including [diphasic feature][2] and other new features developed for the paper (collapses scenarios with frictional door, hysteresis, python binding with `pybind11`)</p> <p>- Python scripts:</p> <p>- for performing velocimetry measurements</p> <p>- for running the `sand6` 3D simulations of granular column collapses</p> <p>- for plotting paper figures</p> <p><br> </p> <p>The git repository corresponding to `sand6py` is available on [https://gitlab.com/groussea/sand6py](https://gitlab.com/groussea/sand6py)</p> <p> </p> <p>A maintained version of sand6 is available on [https://gitlab.inria.fr/elan-public-code/sand6](https://gitlab.inria.fr/elan-public-code/sand6)</p> <p> </p> <p>## Figures</p> <p> </p> <p>the figures of the article are reproducible from the python scripts in the `python/figurejfm` path</p> <p> </p> <p>python dependencies are `matplotlib opencv jupyter vtk h5py tqdm scikit-image opyf`</p> <p> </p> <p>You may obtain all the required dependencies in a convenient conda environment using the following command line in your terminal:</p> <p> </p> <p>```shell</p> <p>conda create --channel conda-forge -n sand6env python=3.9 matplotlib opencv jupyter vtk h5py tqdm scikit-image</p> <p> </p> <p>conda activate sand6env</p> <p>```</p> <p> </p> <p>Corresponding e-mail: gauthier.rousseau@gmail.com</p> <p> </p> <p>[1]: tel.archives-ouvertes.fr/tel-01684673 "*Modeling and simulating complex materials subject to frictional contact: Application to fibrous and granular media*. Diss. Ph. D. Dissertation. Université Grenoble Alpes. , 2016"</p> <p>[2]: https://hal.inria.fr/hal-01458951 "Simulation of Drucker–Prager granular flows inside Newtonian fluids"</p> <p> </p>
Binaural auralizations of listening experiment stimuli (Envelopment / Engulfment / Spatial Granular Synthesis)
<p>Binaural auralizations of experiment stimuli with KU100 BRIRs, measured at the listening position of the experiments in the IEM CUBE (25-channel loudspeaker hemisphere). The files are 2-channel WAVs for headphone playback.</p>
Wave generation by fluidized granular flows: experimental insights into the maximum near-field wave amplitude
<p><strong>Data set for experimental videos modelling the entrance of a fluidised granular flow into the water.</strong></p> <p>The data set includes:</p> <ul> <li>Impact parameters of the fluidised granular flows: mass of the flow, thickness and velocity on the inclined plane. </li> <li>Nondimensional parameters of the flows: impact Froude number, nondimensional thickness and nondimensional mass of the flow.</li> <li>Surface elevation data for all the experiments measured at four positions from the shoreline.</li> <li>Maximum amplitudes of the generated waves. </li> </ul>
Towards Fine-granularity Malicious Component Detection for Android Apps
<p>These files are the experiment data of AMCDroid.</p> <p> (1) is the dataset used in the experiment (we do not use the VirusShare dataset in 2019 since we failed to download it);</p> <p> (2) is the malicious component detection result of the running example;</p> <p> (3) to (7) are the experiment data in RQ1 to RQ5;</p> <p> (8) is the malicious component detection result of Roaming Mantis; and</p> <p> (9) is the malicious component detection result in internal validity.</p> <p>We will open source the code of AMCDroid after our paper is accepted.</p>
Dataset of velocities of dry granular flows in a partially obstructed tilted chute
<p>The dataset presented here corresponds to data collected in an experimental campaign on dry granular flows, in which one experiment was repeated 31 times. The experimental campaign was performed in a 1.5 m length facility sloping at 20 degrees, where a volume of granular material was released from an upstream gate and trapped through a vertical obstruction in the downstream area of the channel, simulating slit dam conditions.</p> <p>The experiments carried out presented the following characteristics: a) uni-sized polystyrene particles (d=1.8mm); b) 3 litres volume of particles and c) the obstruction used had a double distance from the chute lateral walls of twice the diameter of the particles. Images from the experiments were collected by means of one high-speed camera located at the downstream part of the channel with a target frame rate of 300 frames per second and an exposure time of 200µs. </p> <p>The collected data was processed and filtered by means of Matlab algorithms aiming the assembly of a along-chute (u) and wall-normal (w) velocity ensemble database for the total time evaluated of 437 frames.</p> <p> </p>
Blast Furnace Raw Material Granularity Recognition Model Based on Deep Learning and Multimodal Fusion of 3D Point Cloud
<p>Provide data code</p>
CMS High Granularity Calorimeter Trigger Cell Simulated Dataset (Part 2)
<p>See <a href="https://doi.org/10.5281/zenodo.8338607">https://doi.org/10.5281/zenodo.8338607</a> for a full description of this dataset.</p>
Rate of Cancer of Granular Mixed Laterally Spreading Tumors (GM-LST)
ClinicalTrials.gov study NCT03836131. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hu-Mik-beta1 to Treat T-Cell Large Granular Lymphocytic Leukemia
ClinicalTrials.gov study NCT00076180. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Large Granular Lymphocytes in mNSCLC Treated With Nivolumab
ClinicalTrials.gov study NCT07363811. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Neodymium-doped Yttrium Aluminum Garnet (Nd:YAG) Laser Treatment for Granular Corneal Dystrophy
ClinicalTrials.gov study NCT06202651. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Treatment of T-Large Granular Lymphocyte (T-LGL) Lymphoproliferative Disorders With Cyclosporine
ClinicalTrials.gov study NCT00001533. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Efficacy and Safety of PI3K Inhibitors in Relapsed/Refractory Large Granular T Lymphocytic Leukemia
ClinicalTrials.gov study NCT05676710. IPD Sharing: NO. Countries: 1. Publications: 1.
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.