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1,956
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1,956 results for “test data”
Data from: Using large-scale tropical dry forest restoration to test successional theory
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Data from: Underrepresentation of dietary specialist larval Lepidoptera in small forest fragments: Testing alternative mechanisms
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Data for: Does the evolution of ontogenetic niche shifts favor species coexistence? An empirical test in Trinidadian streams
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Data from: Testing for a role of postzygotic incompatibilities in rapidly speciated Lake Victoria cichlids
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Data for: Emergent dynamics of adult stem cell lineages from single nucleus and single cell RNA-Seq of Drosophila testes
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Data from: SLICE-MSI: A machine learning interface for system suitability testing of mass spectrometry imaging platforms
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Data from: Testing the heat treatment dose for Agrilus planipennis prepupae using the Humble water bath
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Data from: Mating competition among females: testing the distinction between natural and sexual selection in an insect
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Scripts and data sets associated with: On testing homogeneity of the evolutionary process using alignments of homologous sequences
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Data from: A test for microbiome-mediated rescue via host phenotypic plasticity in Daphnia
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Data from: Mutations in yeast are deleterious on average regardless of the degree of adaptation to the testing environment
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Data from: Comparing alternative harvest strategies to address robustness to recruitment variability and uncertainty: Implications for Alaska Sablefish tested with management strategy evaluation
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Data from: Does losing reduce the tendency to engage with rivals to reach mates? An experimental test
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Data and code from: Parental care liberates juvenile growth: A common-garden test of the evolutionary benefits of care
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Supplementary material and supplementary data files for: Handling logical character dependency in phylogenetic inference: Extensive performance testing of assumptions and solutions using simulated and empirical data
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An archive of data from Resonant Column and Cyclic Torsional Shear Tests performed on Italian Clays
<p>A large data-set of index and dynamic parameters measured from resonant column (RC) and cyclic torsional shear(CTS) tests on 170 undisturbed isotropically consolidated fine-grained specimens deriving from 90 sites in Central and Northern Italy is made available. Tests were all performed over the past 20 years at the Geotechnical Laboratory of the Civil and Environmental Engineering Department of the Florence University using the same apparatus and following the same standardized procedures.</p> <p>The experimental data are organized in an excel file (named as “Italian_Clays_Archive.xlsx”). For each tested sample, the main physical, index and dynamic properties measured are archived with the code number of the sample (No) in the sheet named as “Dataset” as well as any information available about the borehole from which the sample has been taken. The list and the meaning of the symbols used can be found in the sheet named as “Legend”. Other sheets containing borehole stratigraphy are named as “XX-ST” (where “XX” stands as the bore-hole code, BH) and they can be recalled directly from the “Dataset” sheet. Note that stratigraphy is given in its original format, when available. However, depth and thickness of each layer can be easily deduced by the figure provided and the soil lithology is well represented by the symbol used that are those generally adopted internationally. Finally, the sheets named as "YY-CTS-STEPZ" (where “YY” and “Z” stand as the sample code, No, and the step number, respectively) contain the shear stress and strain values measured after CTS tests at different steps (i.e. amplitudes of the cyclic dynamic torsional loading applied) during the 1st, 5th, 15th, 20th and 25<sup>th</sup>.and/or and/or the corresponding shear modulus and damping ratio calculated from the same cycles.</p> <p>The selected samples were taken mostly in Holocene and Pleistocene fluvio-lacustrine soil deposits at depths ranging from 1 m to 75 m below ground level and they mainly consist of normally and over-consolidated clayey silts or clays (1 < OCR < 9.4) of medium-to-high plasticity (4 < PI < 84), with very low-to high consistency (-1< Ic < 1.9) and initial void ratio, e<sub>0</sub>, ranging between 0.175 and 2.456. The database also includes some samples of organic clays of low consistency, very high water content and void ratio and low unit weight. The initial (small strain) values of shear modulus, G<sub>0</sub>, and damping ratio, D<sub>0</sub>, range between 21 MPa and 292 MPa and between 0.8% and 5.1%, respectively. The smallest and the largest shear strain values induced by RC and CTS tests are 1.9x10<sup>-5</sup> % and 6.3x10<sup>-1</sup>%, respectively.</p>
Dreams4Cars Experimental data from Autonomous Test Vehicle
<p>The Horizon 2020 project Dreams4Cars (<a href="http://www.dreams4cars.eu">www.dreams4cars.eu</a>) has developed dream-like (offline) learning methods to be used for the development of Autonomous Driving and –more in general– as mechanisms to increase the Cognition abilities and Autonomy of robots. The purpose of dreamlike learning in Dreams4Cars is to deal with (possibly rare) dangerous events <em>synthetizing</em> correct behaviour and control without needing to experience the events, and more efficiently than via straightforward trial and errors. That is, to discover potential threats before they actually happen and prepare appropriate action strategies in advance.</p> <p>During the 3-years development process the project has collected and processed a wealth of experimental data from autonomous test vehicles. Parts of these data and advice how to use these data are made available to the public.</p> <p>The datasets and how they can be accessed is described in the attached report (project deliverable D5.5 Section 2), the datasets are provided in the ZIP-file.</p> <p><strong>Purpose of the Dataset</strong></p> <p>The data provided here have the purpose of demonstrating learning of forward models (the first building block of mental imagery and dreams). There are two sets of data: one for the lateral dynamics and another for the longitudinal dynamics. Each dataset has its own example of training of the corresponding forward model). Then following paper provides additional theoretical aspects: M. Da Lio, D. Bortoluzzi, e G. P. Rosati Papini, «Modelling longitudinal vehicle dynamics with neural networks», Vehicle System Dynamics, pagg. 1–19, lug. 2019, doi: <a href="http://10.1080/00423114.2019.1638947">10.1080/00423114.2019.1638947</a></p> <p><strong>Contacts:</strong></p> <p>Mauro Da Lio, University of Trento, <a href="mailto:mauro.dalio@unitn.it">mauro.dalio@unitn.it</a></p> <p>Elmar Berghoefer, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Elmar.Berghoefer@dfki.de</p> <p>Mehmed Yueksel, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Mehmed.Yueksel@dfki.de</p>
Test data for Sonic Kayaks particulate matter sensor, temperature and GPS
<p>These data sets are the first trials for adding a particulate matter sensor to the Sonic Kayak project https://fo.am/activities/kayaks/</p> <p>There are three data files - gps.csv is the GPS co-ordinates, pm.csv is the particulate matter data (using a PMS7003), and temp.csv is the temperature data (two separate but identical digital thermometer sensors). Time is included in all datasets and can be used to align them. Together the data can be used to make a fine scale heat line map of particulate matter and temperature.</p>
SIMEX test data
<p>Simulation data for the SimEx unittest suite.</p>
ZENODO TEST: ALE Variant Analysis data and scripts
<p>ALE Variant Analysis data and scripts</p>
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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.