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1,956 results for “test data”
Test Data of Passenger kinematics in Lane change and Lane change with Braking Manoeuvres from Ghaffari et al., 2018
<p>This data was extracted by the "authors" of this dataset from the publication</p> <p><strong>Ghaffari, G., Brolin, K., Bråse, D., Pipkorn, B., Svanberg, B., Jakobsson, L., & Davidsson, J. (2018). Passenger kinematics in Lane change and Lane change with Braking Manoeuvres using two belt configurations: standard and reversible pre-pretensioner. <em>2018 IRCOBI Conference Proceedings, </em>pp. 12-14, <a href="http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf">http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf</a>.</strong></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p><strong>If you use this data, please cite the original paper.</strong></p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p>
Test and numerical data of a vapour-injection scroll compressor in a heat pump with R1234ze(E)
<p>The dataset contains the experimental results of a water-to-water heat pump tested at the lab for different water temperatures. The refrigerant used is the HFO R1234ze(E). The scroll compressor is equipped with an eco port. The numerical results of a validated semi-empirical model are also included for a standard suction pressure drop model and an improved one.</p>
Test data for epiGBS
<p>Test data for use with the epiGBS2 pipeline. Includes R1 and R2 reads and a barcode file. Can be used to see if the installation has worked correctly and output will be created as expected.</p>
Testing of AgReFed FAIR data Minimum Thresholds and Stretch Targets
<p>This dataset is a testing of the FAIR thresholds for participation in The Australian Research Federation (AgReFed). The participants in the project assessed their data products before and after project works to improve the maturity of their datasets. The technology and information employed to progress the FAIR maturity of the data was recorded here.</p> <p>This data was used in the testing of the Minimum Thresholds and Stretch Targets developed by Box et al. (2019). Box, Paul, Levett, Kerry, Simons, Bruce, & Wong, Megan. (2019). Guidelines for the development of a Data Stewardship and Governance.</p>
Test data for concise cycle test - CCT008
<p>Project: Hybrid-BioVGE</p> <p>The Hybrid – BioVGE project is proposed with the primary objective to develop, design and demonstrate a highly integrated solar/biomass hybrid air conditioning system for space cooling and heating of residential and commercial buildings that is affordable, operating with improved efficiency and with a strong market potential.</p> <p>Project details at https://hybrid-biovge.inegi.up.pt/index.asp</p> <p>File Description: Test data for CCT008 from day 1 to day 8</p> <p>Work task: WT 7.2</p> <p>Responsible: OST, Switzerland</p>
eddymotion test data
<p>This is test data for the eddymotion project: https://github.com/nipreps/eddymotion</p>
Supplementary data on microcantilever fatigue tests
<p>This data publication contains the results of microcantilever fatigue tests on a metallic glass and tungsten. It supplements the publication “A new method for microscale cyclic crack growth characterization from notched microcantilevers and application to single crystalline tungsten and a metallic glass” DOI: <a href="http://dx.doi.org/10.1557/s43578-022-00618-x">10.1557/s43578-022-00618-x</a>. During the experiments four Zr<sub>48</sub>Cu<sub>36</sub>Ag<sub>8</sub>Al<sub>8</sub> metallic glass microcantilevers and five tungsten single crystal microcantilevers were tested. The compositions, orientations and the production of the microcantilevers are described in the publication.</p> <p>The fatigue tests were performed by S. Gabel under the supervision of B. Merle at the Institute I - General Materials Properties of the Friedrich-Alexander Universität Erlangen-Nürnberg <a href="http://www.ww1.tf.fau.de/">(<em>Martensstr.5, 91058 Erlangen, Germany</em>)</a> using a NMT 03 in-situ nanoindenter <a href="https://www.femtotools.com/">(<em>FemtoTools, Switzerland</em>)</a> inside a 1540EsB Secondary Electron Microscope <a href="https://www.zeiss.com/corporate/int/home.html">(<em>Carl Zeiss, Germany</em>)</a>. The indenter was equipped with a wedge diamond tip, which had a length of ~10 µm. The experiments were performed, until the tip lost contact with the microcantilever due to bending.</p> <p>The data for the fatigue tests are provided in nine <strong>.csv</strong> files, each corresponding to a single test and being divided into two folders, sorted by the material. The numbers in the files names describe the initial cyclic stress intensity factor <em><strong>ΔK<sub>I</sub></strong></em>. This is also used in the publication to describe the single tests. The data in each <strong>.csv</strong> file are organized as follows:</p> <p>Each row contains thirteen semicolon separated characters, forming thirteen columns. The data description are given in row 1, e.g., "Stiffness". The physical unit is given in row 2, e.g., "N/m". From row 3 on the data for the individual experiment are given. The following information can be found in the respective columns:</p> <p>1: Cycle number. 2: Mean force <strong><em>P<sub>m</sub></em></strong> in µN. 3: Force amplitude <em><strong>ΔP/2</strong></em> in µN. 4: Displacement amplitude <em><strong>Δh/2</strong></em> in µm. 5: Stiffness <em><strong>S<sub>CSM </sub></strong></em>in N/m. 6: Crack growth length <em><strong>Δa</strong></em> in µm. 7: Stress intensity factor range <em><strong>ΔK<sub>I</sub></strong></em> in MPa√m. 8: Initial crack length <em><strong>a</strong></em> in µm. 9: Cantilever width <em><strong>W</strong></em> in µm. 10: Cantilever thickness <em><strong>T</strong></em> in µm. 11: Span length <em><strong>L</strong></em> in µm. 12: Phase shift in °. 13: Temperature in °C.</p> <p> </p> <p>One test with metallic glass was performed with a higher recording rate of 400 Hz, which can be found in the folder: <em>"Metallic_Glass_High_Recording_Rate"</em>. The data in the <strong>.csv</strong> file are sorted differently to the other tests:</p> <p>Each row contains fifteen semicolon separated characters, forming fifteen columns The data description is given in row 1, e.g., "Stiffness". The physical unit is given in row 2, e.g., "N/m". From row 3 on the data for the individual experiment are given. The following information can be found in the respective columns:</p> <p>1: Time in s. 2: Cycle number. 3: Mean displacement <em><strong>h<sub>m</sub></strong></em> in µm. 4: Mean force <strong><em>P<sub>m</sub></em></strong> in µN. 5: Force amplitude <em><strong>ΔP/2</strong></em> in µN. 6: Displacement amplitude <em><strong>Δh/2</strong></em> in µm. 7: The force <em><strong>P</strong></em> in µN. 8: Displacement <em><strong>h</strong></em> in µm. 9: Stiffness <em><strong>S<sub>CSM </sub></strong></em>in N/m. 10: Initial crack length <em><strong>a</strong></em> in µm. 11: Cantilever width <em><strong>W</strong></em> in µm. 12: Cantilever thickness <em><strong>T</strong></em> in µm. 13: Span length <em><strong>L</strong></em> in µm. 14: Phase shift in °. 15: Temperature in °C.</p>
Testing a biological mechanism of the insurancehypothesis in experimental aquatic communities - Data Deposit
<p>1.The insurance hypothesis predicts a stabilizing effect of increasing species richness on commu-nity and ecosystem properties. Difference among species’ responses to environmental fluctuationsprovides a general mechanism for the hypothesis. Previous experimental investigations of theinsurance hypothesis have not examined this mechanism directly.</p> <p>2.First, responses to temperature of four protist species were measured in laboratory microcosms.For each species, we measured the response of intrinsic rate of increase (r) and carrying capacity(K) to temperature.</p> <p>3.Next, communities containing pairs of species were exposed to temperature fluctuations. Com-munity biomass varied less when correlation inKbetween species (but notr) was more negative,and this resulted from more negative covariances in population sizes, as predicted. Results werecontingent on species identity, with findings differing between analyses including or not includingcommunities containing one particular species.</p> <p>4.These findings provide the clearest support to date for this mechanism of the insurance hypo-thesis. Biodiversity, in terms of differences in species’ responses to environmental fluctuations (i.e.functional response diversity) stabilizes community dynamics.</p>
FloX data for SIF retrieval testing
<p>Zip - Folders containing calibrated reflectance, reflected radiance and incoming radiance retrieved from measurements with FloX field spectrometers over Alfalfa and Forage (2018 in Grosseto, Italy), Cover crop (2020 in Julich, Germany) and Oak canopy (2020 in Observatoire de Haute-Provence (OHP), France) during clear sky conditions. The incoming radiance is measured with optics of hemispherical (~180°) field of view and the reflected radiance with conical (~25°) field of view. In addition, SCOPE simulated full spectral fluorescence and true reflectance are supplied.</p> <p>The data is organized in sub-folders inside the zip-repositories which are named according to the date of recording, containing CSV-files which hold the hyperspecteral information. One file is associated to the integrated full-range (FULL) spectrometer between 340nm and 1000nm, and the fluorescence-range (FLUO) spectrometer between 650nm and 810nm, containing incoming radiance, reflected radiance or reflectance, respectively. The first collumn contains the associated central wavelengths, the first row the time of recording, each subsequent field of the table contains the calibrated radiance (in W m<sup>-2</sup> sr<sup>-1</sup> nm<sup>-1</sup>) or reflectance (unitless) values.</p>
hiPSC 3D immunofluorescence images, test data set 2x2, 10Z
<p>Example dataset of human induced pluripotent stem cells, imaged at 40x magnification with a Yokogawa CV7000. This is a small subset of a larger experiment intended as a test dataset for Fractal: https://github.com/fractal-analytics-platform/fractal</p> <p>3 Channels were imaged:</p> <p>- C01: DAPI, nuclear stain</p> <p>- C02: nanog, antibody staining with Bio-Techne AG, AF1997-SP, Lot KKJ0617121 for the stemness marker nanog</p> <p>- C03: Lamin B1, antibody staining with Abcam, ab16048, Lot GR3244890-2 for the nuclear envelope marker Lamin B1</p> <p> </p> <p>This dataset contains 10 Z levels for 4 field of views for those 3 channels, as well as (manually adjusted) metadata files from the Yokogawa CV7000.</p> <p> </p> <p>The data was acquired in the Pelkmans lab in August 2020. The images have been converted from TIFF into PNG (lossless). </p>
Individual tree data of the temporary test plot Neusorgefeld 5138 - VERMOS project
<p>This dataset is an artificial dataset of the dataset of the temporary trial plot in Neusorgefeld 5138 from the VERMOS project. The original dataset is significantly larger, the adaptation was made for a planned publication by Chris Wudel and was also carried out by him.</p>
Data from "Source characterization of the declared North Korean Nuclear Tests from regional distance coda wave spectral ratios"
<p>Results of the coda spectral ratio analysis presented in Delbridge et al. (2022).</p> <p>network_average_ratios.csv - a csv file which contains each of the network average ratios calculated from all channels and stations for each event pair and component.</p>
Data set of pup retrieval test in control and V1b vasopressin receptor knockout mice
<div> <div> <div> <p>This repository contains the images and code used in the paper "Computer vision analysis of mother-infant interaction identified efficient pup retrieval in V1b receptor knockout mice".</p> <p>For effective nursing, close contact between lactating mothers and their infants is necessary. However, evaluation of maternal motivation to retrieve pups is challenging, because multiple infants were randomly accessed multiple times in changing background. We applied computer vision and deep learning analysis in this process to precisely calculate maternal behavior. Object detection in an open filed test identified less entry into the center area and less moving distance in virgin female mice lacking V1b vasopressin receptor (V1bKO) than wild-type (WT) mice. Although this character was replicated in a V1bKO mother, a pup retrieval test showed that total distances among a V1bKO mother and infants come closer in a shorter time than with a WT mother. In the medial preoptic area, V1b receptor message was partly detected in galanin- and c-fos-positive neurons after the mother was stimulated by infants. Our deep learning analysis effectively evaluated mother-infant relationship in V1bKO mice.</p> </div> </div> </div>
The Netherlands - China Low Frequency Explorer signal chain pre launch test-data. (version 1.0)
<p>The Netherland Chinese Low Frequency Explorer Pre launch system ground test results with analog and digital signal chain. The tests include the instrument in various experiment settings that are avalable as pre-set functions during the observation phase.</p> <p>The data set is processed to L1B data, a script is provided together with the data to process this and plot the power spectra for all the monopole antennas.</p> <p> </p>
CATCH-EyoU: Exploiting European data and testing the integrated theory of youth active EU citizenship: PIDOP subset reanalysis
<p>This is a subset of the full PIDOP dataset. The derived subset contains cross-sectional survey results from the PIDOP questionnaire survey that were collected in 9 European countries (incl. Turkey) during a period of 16-26 year old in 2011. The data set includes 9060 individual cases. The questionnaire used in the survey is published in Barrett, M. & Zani, B. (Eds.) (2015). <em>Political and civic engagement: Multidisciplinary perspectives.</em> Hove: Routledge (p.519-534).</p>
Use of EO data to test machine learning algorithms
<p>This data set is composed of one Sentinel-2 image of Darwin City, Australia. The objective of this work is to use EO data to compare the performance of different machine learning algorithms.</p>
Evaluation Data of the Implementation of the Approach for Automatic Test Generation for Information-Flow Properties
<p>This data set contains the programs for which the automatic test generation approach of the KeY theorem prover was used to automatically generate noninterference tests.</p> <p>The approach is described in <a href="http://dx.doi.org/10.1145/3297280.3297500 ">http://dx.doi.org/10.1145/3297280.3297500 </a></p> <p>DATA<br> ---------<br> The data folder contains the secure and insecure programs which were evaluated and the tests which were generated for them.</p> <p>Each program is in the folder "program" and is written in Java and specified in an extended version of the JML specification language. Check out <a href="http://dx.doi.org/10.5445/IR/1000046878">http://dx.doi.org/10.5445/IR/1000046878</a> for a reference on the used specification language.</p> <p>For each example we provide the tests that were generated. For the insecure examples we provide the tests generated with each of the two options of our approach. The tests generated with the option for searching for counterexamples is in the folder "WithPost" of each insecure example.</p> <p> </p>
Test data sets: File A
I am getting an "Entity too large" error when trying to use this file as File A, with File A taxonID: EOL-000002128790. The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
Test data sets: File B
I am getting an "Entity too large" error when trying to use this file as File B, with File B taxonID: BJ5N3. The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
Test data sets: Test data set for "Request Entity Too Large" exception
The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
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.