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1,956 results for “test data”
Frictionless Data Test Dataset Zipped Single File Without Package File
<p>This is a test dataset.</p>
Test data for the shared task Ideology and Power Identification in Parliamentary Debates 2024
<p>This dataset contains a selection of speeches from <a href="https://www.clarin.eu/parlamint">ParlaMint</a> corpora (version 4.0) as the test set for the shared task on "<a href="https://touche.webis.de/clef24/touche24-web/ideology-and-power-identification-in-parliamentary-debates.html">Ideology and Power Identification in Parliamentary Debates</a>" in <a href="https://clef2024.imag.fr/">CLEF 2024</a>. The format of the files are similar to the <a title="training set" href="10450640">training set</a>, with the exception that the labels are not provided in this data set.</p>
Locityper test data
<p>Please find dataset description and instructions at <a href="https://locityper.vercel.app">locityper.vercel.app</a> or at <a href="https://github.com/tprodanov/locityper">github.com/tprodanov/locityper</a></p>
Testing script and data needed to run it for NeurIPS 2024 submission 18634
<p>Dependencies:<br>pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 (get specific command for your environment from Pytorch website. If you can't use CUDA, you must edit the code to use the CPU.)<br>pip install timm<br>pip install opencv-python<br>pip install pillow<br>pip install joblib<br>pip install scipy<br>pip install scikit-learn</p> <p>Please make the following edits to run the script. Also, either move the models folder (https://zenodo.org/records/11245477) or change the directory.<br>Also, add a folder to the directory with the testing script called "Results"</p> <p>The testing script also includes the models for directionality, another statistic we attempted to predict. We did not report the values for directionality in our paper, so feel free to comment lines 2175-2253 and lines 2296-2308 to speed up the computation for the statistics presented in the paper. Due to time constraints, this version also doesn't include the class-modifying arguments for Brownian and straight-trajectory motion. These will be included in the testing script on the official release of DeepTrakStat on Github. <br>line 485: sim_directory='ground_truth_trajectories/'<br>line 486: tmate_directory='tmate_trajectories/'</p> <p>lines 509-525:<br>directories = [<br>'simulated_imagery/1000part_16xspeed_heterogeneous/','simulated_imagery/1000part_32xspeed_heterogeneous/',<br>'simulated_imagery/1000part_4xspeed_heterogeneous/',<br>'simulated_imagery/2000part_16xspeed_heterogeneous/','simulated_imagery/2000part_32xspeed_heterogeneous/', ## Group 1<br>'simulated_imagery/500part_16xspeed_heterogeneous/','simulated_imagery/500part_32xspeed_heterogeneous/',<br>'simulated_imagery/500part_4xspeed_heterogeneous/',<br>'simulated_imagery/sim111_brown/', 'simulated_imagery/sim112_brown/',<br>'simulated_imagery/sim113_brown/','simulated_imagery/sim114_brown/', # Group 2<br>'simulated_imagery/sim115_brown/','simulated_imagery/sim119_brown/','simulated_imagery/sim120_brown/',<br>'simulated_imagery/sim2201/', 'simulated_imagery/sim2210/', 'simulated_imagery/sim2215/',<br>'simulated_imagery/sim2220/','simulated_imagery/sim2230/','simulated_imagery/sim2235/','simulated_imagery/sim2240/', # Group 3<br>'simulated_imagery/sim2241/','simulated_imagery/sim2242/','simulated_imagery/sim2243/','simulated_imagery/sim2244/', #Group 4<br>'simulated_imagery/sim2251/','simulated_imagery/sim2252/','simulated_imagery/sim2253/',<br>'simulated_imagery/sim2254/','simulated_imagery/sim2255/','simulated_imagery/sim2256/',<br>'simulated_imagery/sim2257/','simulated_imagery/sim2258/','simulated_imagery/sim2259/','simulated_imagery/sim2260/', # Group 5<br>'simulated_imagery/test1/','simulated_imagery/test2/','simulated_imagery/test5/','simulated_imagery/test8/' #Group 6<br>]</p> <p>line 606:<br> sorted_frames = sorted(files, key=lambda x: int(x[4:-4]))</p>
Fractal OME-Zarr Test data for napari-ome-zarr-navigator
<p>Test OME-Zarr data for https://github.com/fractal-analytics-platform/napari-ome-zarr-navigator</p> <p> </p> <p>Contains a 2 HCS OME-Zarrs (2D & 3D) with 2 wells (B03, B05), each with 2 FOVs and the following AnnData tables for each well:</p> <ol> <li>Condition table</li> <li>Feature measurement table</li> <li>2 ROI tables</li> </ol>
Data from: Evolution of leap-frog migration: A test of alternative hypotheses
<p>Leap-frog migration is a common migration pattern in birds where the breeding and wintering latitudes between populations are in reversed latitudinal sequence. Competition for wintering and breeding sites has been suggested to be an ultimate factor and several competitor-based hypotheses have been proposed to explain this pattern. If wintering sites close to the breeding sites are favored, competitive exclusion could force subdominant individuals to winter further away. Competitive exclusion could be mediated either through body size or by prior occupancy. The alternative "spring predictability" hypothesis assumes competition for sufficiently close wintering areas, allowing the birds to use autocorrelated weather cues to optimally time spring migration departure. To test predictions and assumptions of these hypotheses, we combined morphometrics, migration and weather data from four populations of common ringed plover breeding along a latitudinal (56-68°N) and climatic gradient (temperate to Arctic). Critical for our evaluation was that two populations were breeding on the same latitude in subarctic Sweden and had the same distance to the closest potential wintering site, but differ in breeding phenology, and wintered in West Africa and Europe, respectively. Thus, while breeding on the same latitude, their winter distribution overlapped with that of an Arctic and temperate population, respectively. Body size was largest within the temperate population, but there was no size difference between the two subarctic. Populations wintering in Europe arrived there before populations wintering in Africa. The largest variation in arrival of meteorological spring occurred at the temperate breeding site, while there was almost no difference among the other sites. In general, temperatures at the northernmost wintering area correlated well with each breeding site prior to breeding site-specific spring arrival. Based on these observations, we conclude that competitive exclusion through body-size related dominance cannot explain leap-frog migration. Furthermore, the assumptions on which the 'spring predictability' hypothesis is based did not match the observed wintering ranges either. However, we could not reject the hypothesis that competitive exclusion mediated by prior occupancy in the wintering area could lead to leap-frog migration, and therefore this hypothesis should be retained as working hypothesis for further work.</p>
Tensile test data - reactive extrusion
Open the record for dataset details and reuse information.
Test and Train data for the retrieval experiment in "A molecule generation-oriented lead compound optimization architecture: discovery of potent, selective, oral NLRP3 inflammasome inhibitors"
Open the record for dataset details and reuse information.
Testing sunfish as zooplankton control agents for wastewater-algal cultivation: Nutrient, invertebrate, and algae data
<p>Wastewater-algal cultivation is a promising means of recovering polluting nutrients and converting them into useful algal biomass. However, open raceway ponds used for wastewater-algal cultivation are prone to contamination by zooplankton, which often severely reduces algal yields. We conducted an experiment to test the potential for bluegill sunfish to improve yields by suppressing zooplankton. We used cages to protect the fish from the paddlewheels in 230-L raceway ponds. In nine raceways, the cage surrounded the paddlewheel and fish, if present, had access to the remaining tank area. In another nine raceways, the cage was on the opposite side from the paddlewheel, and contained the fish when present. Six fishless controls were implemented across both cage placements. We filled the raceways with synthetic wastewater and local plankton, and one juvenile bluefill sunfish (aside from controls). After 19 days we sampled dissolved nutrients, algae, and invertebrates in each raceway. This dataset consists of four csv files containing data from laboratory analyses of these samples. The data include dissolved nutrients, algal dry weights, zooplankton and benthic invertebrate counts, algal biovolumes, and algal nutrient content for each of the 18 raceway ponds.</p>
Hard Carbon capacity test data
<p><em>Excel sheet with the overview of the selection of representative data for half cell (anode) and full cell with HC anode what kind of data (20240502_SIMBA_selected cells) and excel sheets with the Hard Carbon (HC) capacity test data by IFE per charge-discharging cycle for these selected representative data for the SIMBA project used for selecting the anode material for scale-up as well as the test of the scaled up version by Elkem.</em></p> <p><em><a href="https://simba-h2020.eu/project-introduction/">Project introduction - SIMBA (simba-h2020.eu)</a></em></p>
Synthetic data RELION project archive for ccpem-pipeliner cryodrgn jobs slow tests
<p>Synthetic data reconstructed via RELION4.0 used for testing CryoDRGN jobs in ccpem-pipeliner (https://gitlab.com/ccpem/ccpem-pipeliner). Micrographs simulated via Roodmus (<span>https://doi.org/10.1101/2024.04.29.590932</span>) using molcular conformations originating from DE Shaw simulation DESRES-ANTON-11021571 (D. E. Shaw Research, "Molecular Dynamics Simulations Related to SARS-CoV-2," D. E. Shaw Research Technical Data, 2020. https://www.deshawresearch.com/downloads/download_trajectory_sarscov2.cgi/)</p>
One Hand project - Transfer of prosthesis control skill after training in VR, data set pre-test post-test
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Test subject data of a UX evaluation of a wallet
<p><strong>Detailed test subject data of the research paper "User Experience and Information Security Implications of Digital Identity Wallets" by Max Sauer, Christoph Becker, Andreas Oberweis, Simon Pfeifer, Akim Stark and Jan Sürmeli. 2024. 14th International Conference on Information Communication and Management. ICICM 2024. Paris, France. </strong><a href="https://doi.org/10.1145/3711609.3711615">https://doi.org/10.1145/3711609.3711615</a></p>
Test data for tomography
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OpenFOAM test result data accompanying 'Numerical representation of mountains in atmospheric models'
<p>OpenFOAM test result data accompanying the PhD thesis, 'Numerical representation of mountains in atmospheric models'</p>
Simulation data output used in test-particle simulations of linear and nonlinear interactions between a 2D whistler-mode wave packet and radiation belt electrons
<p><strong>Dataset</strong></p> <p>The zip file contains the data used in the paper "Test-particle simulations of linear and nonlinear interactions between a 2D whistler-mode wave packet and radiation belt electrons" submitted for publication in Geophysical Research Letters (GRL) by da Silva et al. See the GRL paper and Supporting Information for details about the simulations. This data has been uploaded to Zenodo to comply with AGU's data policy.</p> <p>To load the data please run the self-explanatory script load_hyb_test_part.m in Matlab. See README.txt for further instructions.</p> <p>C. L. da Silva, Mar/21/2018</p> <p> </p> <p><strong>Corresponding Article</strong></p> <p>C. L. da Silva, R. E. Denton, M. K. Hudson, R. M. Millan, K. Liu, J. Bortnik (2018) Test-particle simulations of linear and nonlinear interactions between a 2D whistler-mode wave packet and radiation belt electrons, Submitted for publication, <em>Geophys. Res. Lett.</em>, doi:10.1002/2018GL077877.</p> <p> </p> <p><strong>Article Abstract</strong></p> <p>Using test-particle simulations, we describe (in 2D) the interaction of an ensemble of electrons with a discrete whistler-mode wave packet, which propagates with a moderate wave-normal angle with respect to the background magnetic field. We evaluate both the average transport coefficients used in quasi-linear diffusion transport, and also the full nonlinear wave-particle interactions. The magnitude of the calculated diffusion coefficients is found to increase proportionally to the wave amplitude squared, in agreement with quasi-linear diffusion theory. Cyclotron resonance of counterstreaming electrons (n=1 harmonic number) is more important for pitch-angle scattering than Landau resonance. Landau resonance of costreaming electrons (n=0) is comparable to cyclotron resonance for energy diffusion and advection. Strong acceleration of high-pitch-angle, costreaming electrons arises in nonlinear wave-particle interactions with high amplitude waves. In our simulations with zero parallel electric field, the energy source for electron acceleration is the wave's perpendicular electric field, in both the cyclotron and Landau resonances. The Landau resonance can happen even with zero parallel electric field, if the wave packet propagates with a finite wave-normal angle. This resonance between the particle's azimuthal velocity and the wave fields leads to trapping and substantial parallel acceleration.</p> <p> </p> <p><strong>Article key points</strong></p> <p>Cyclotron resonance of counterstreaming electrons is dominant for pitch-angle scattering, consistent with quasi-linear theory</p> <p>Landau and cyclotron resonances are comparable for acceleration; here the energy source is the wave perpendicular electric field in both</p> <p>Substantial Landau parallel acceleration occurs with a finite wave-normal angle, even with zero parallel electric field</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>These simulations were performed at Dartmouth's Discovery computer cluster. We would like to thank all the supporting staff for their assistance and for their splendid maintenance of Discovery.</p> <p> </p> <p> </p> <p> </p>
Testing the robustness of a coastal biodiversity data protocol in the Mediterranean: Insights from the molluscan assemblages of the sublittoral macroalgae communities
<p>Dataset from NaGISA project, class mollusca.</p>
Supplementary data to the manuscript "Morphology and metabarcoding! A test with stream diatoms from Mexico highlights the complementarity of methods", submitted to Freshwater Science by D. Mora, N. Abarca, S. Proft, J. Grau, N. Enke, J. Carmona, O. Skibbe, R. Jahn and J. Zimmermann.
<p>Demultiplexed fastq files for 18 samples, accompanied by a table including sample numbers in the manuscript and sample numbers in the fastq files.</p>
H.E.S.S. first public test data release
<p>The High Energy Stereoscopic System (H.E.S.S.) is an array of ground-based imaging atmospheric Cherenkov telescopes in Namibia. For the first time, the H.E.S.S. collaboration is releasing a small dataset of event lists and instrument response information. This is a test data release, with the motivation to support the ongoing efforts to define open high-level data models and associated formats, as well as open-source science tools for gamma-ray astronomy. The data are in FITS format. Open-source science tools that support this format exist already.</p> <p>The release data consists of 27.9 hours in total of observations of the Crab nebula, PKS 2155−304, MSH 15−52 and RX J1713.7−3946 taken with the H.E.S.S. 1 array. Most data are from 2004, the PKS 2155−304 data are from 2006 and 2008. In addition, 20.7 hours of off observations of empty fields of view are included. The targets and observations were chosen to be suitable for common analysis use cases, including point-like and extended sources for spectral and morphology measurements, as well as a variable source (PKS 2155−304) and the off dataset for background studies. The total size of the files in this data release is 42.8 MB.</p> <p>This is a very small subset of the thousands of hours of H.E.S.S. 1 observations taken since 2004. The quality of this dataset, and measurements derived from this data, does not reflect the state of the art for H.E.S.S. publications, e.g. the event reconstruction and gamma-hadron separation method used here is a very basic one.</p> <p>See <a href="https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1/">https://www.mpi-hd.mpg.de/hfm/HESS/pages/dl3-dr1/</a> for further information, including links how to analyse the data.</p>
Test data for bugbuilder updates
<p>This is the test data for Bugbuilder. In the future, I will make a better script to re-generate this, but for now, this will work.</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.