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1,956 results for “test data”
Spot test and spore count assay data for combinations of dictyostelid hosts infected by Paraburkholderia spp.
<p class="MsoNormal">The social amoeba <em>Dictyostelium discoideum </em>engages in a complex relationship with bacterial endosymbionts in the genus <em>Paraburkholderia, </em>which can benefit their host by imbuing it with the ability to carry prey bacteria throughout its life cycle.<span> </span>The relationship between <em>D. discoideum </em>and <em>Paraburkholderia </em>has been shown to take place across many strains and a large geographical area, but little is known about <em>Paraburkholderia's </em>potential interaction with other dictyostelid species.<span> </span>We explore the ability of three <em>Paraburkholderia </em>species to stably infect and induce bacterial carriage in other dictyostelid hosts.<span> </span>We found that all three <em>Paraburkholderia </em>species successfully infected and induced carriage in seven species of <em>Dictyostelium </em>hosts.<span> </span>While the overall behavior was qualitatively similar to that previously observed in infections of <em>D. discoideum, </em>differences in the outcomes of different host/symbiont combinations suggest a degree of specialization between partners.<span> </span><em>Paraburkholderia </em>was unable to maintain a stable association with the more distantly related host <em>Polysphondylium violaceum</em>.<span> </span>Our results suggest that the mechanisms and evolutionary history of <em>Paraburkholderia's </em>symbiotic relationships may be general within <em>Dictyostelium </em>hosts, but not so general that it can associate with hosts of other genera.<span> </span>Our work further develops a emerging model system for the study of symbiosis in microbes.</p>
On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats (data&code)
<p>Dataset to the manuscript entitled: On the importance of additional behavioral observation in behavioral psychopharmacology research: a case study on agomelatine's effects on feedback sensitivity in probabilistic reversal learning test in rats. Code in R used for analysis data from probabilistic reversal learning (PRL) test performed in operant conditioning boxes. Script analyzes data files from MED-PC IV software.</p>
Data for: Guppies in large groups cooperate more frequently in an experimental test of the group size paradox
<p><span class="s6">The volunteer's dilemma, in which a single individual is required to produce a public good, predicts that individuals in larger groups will cooperate less frequently. Mechanistically, this could result from trade-offs between costs associated with volunteering and costs incurred if the public good is not produced (nobody volunteers). During predator inspection, one major contributor to the cost of volunteering is likely increased probability of predation; however, a predator also poses a risk to all individuals if nobody inspects. We tested the prediction that guppies in larger groups will inspect a predator less than those in smaller groups. We also predicted that individuals in larger groups would perceive less threat from the predator stimulus because of the protective benefits of larger groups (</span><span class="s6">e.g.</span><span class="s6"> dilution). Contrary to prediction, we found that individuals in large groups inspected more frequently than those in smaller groups </span><span class="s6">but</span><span class="s6"> (as predicted) spent less time in refuges. There was evidence that individuals in intermediate-sized groups made the fewest inspections and spent the most time in refuges, suggesting that any link between group size, risk and cooperation is not driven by simple dilution. Extensions of theoretical models that capture these dynamics will likely be broadly applicable to risky cooperative behaviour.</span></p>
Data from: Testing concordance and conflict in spatial replication of landscape genetics inferences
<p class="MsoNormal">The degree to which landscape genetics findings can be extrapolated to different areas of a species range is poorly understood. Here, we used a broadly distributed ectothermic lizard (<em>Sceloporus occidentalis</em>, Western Fence lizard) as a model species to evaluate the full role of topography, climate, vegetation, and roads on dispersal and genetic differentiation. We conducted landscape genetics analyses in five areas within the Sierra Nevada mountain range. Genetic distances calculated from thousands of ddRAD markers were used to optimize landscape resistance surfaces and infer the effects of landscape and topographic features. Across study areas, we found a great deal of consistency in the primary environmental gradients impacting genetic connectivity, along with some site-specific differences, and a range in the proportion genetic variance explained by environmental factors across study sites. High-elevation colder areas were consistently found to be barriers to gene flow, as were areas of high ruggedness and slope. High temperature seasonality and high precipitation during the winter wet season also presented a substantial barrier to gene flow in a majority of study areas. The effect of other landscape variables on genetic differentiation was more idiosyncratic and depended on specific attributes at each site. Across study areas, canyon valleys were always implicated as facilitators to dispersal and key features linking populations and maintaining genetic connectivity, though the relative importance varied in different areas. We emphasize that spatial data layers are complex and multidimensional, and careful consideration of spatial data correlation structure and robust analytic frameworks will be critical to our continued understanding of spatial genetics processes.</p>
Supporting Data Set for Paper "Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests?"
<p>This data set is a supporting material for an accepted paper "Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests?" on 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW 2023).</p> <p>This dataset consists of</p> <ul> <li>a consent form of the study in English;</li> <li>a tutorial video for TakeNote App (see <em>TakeNote Tutorial-v02</em>);</li> <li>a questionnaire in HTML format;</li> <li>used videos (in <em>HTML Video Player with Videos and VTT files</em>) and screenshots;</li> <li>the source code of the HTML Video Player (in <em>HTML Video Player with Videos and VTT files</em>);</li> <li>obtained and coded results from the questionnaire (see <em>Study-Data-4EmpiRE-v22</em>);</li> <li>calculation steps of the Mann-Whitney U Test;</li> <li>the source code of the TakeNote App.</li> </ul>
Data Set: Promoting Open Science in Test-Driven Software Experiments
<p>Data set for reproduction purposes (tabular data is stored using Apache's Parqet format).</p>
Data and Code Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"
<p>Code and Data Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"<br> ===========================================================</p> <p>This directory contains the data and scripts used to create the plots from our publication as well as the source<br> code modifications necessary to run this test case within the CESM and MPAS models.</p> <p>Generating Plots<br> ---------------</p> <p>The `netcdf` directory contains the nominal half-degree runs necessary to generate nearly all of the plots from the paper. The one plot which is not reproducible from these data is the volume-integrated Eddy Kinetic Energy in the Spectral Element model. Storing high-resolution 4D wind fields requires a prohibitive amount of space. These data can be provided by the corresponding author, O.K. Hughes (owhughes@umich.edu). However, because this is several hundred GB of data I would strongly recommend generating these high-resolution runs yourself on your local system if you need them. Using 288 Intel Skylake cores (that is, 8 nodes each with two 18C processors) ran on the order of an hour.</p> <p><em>In order to generate the plots from the paper, you need only install NCL and then run</em> run.bash. Instructions for installing NCL<br> can be found in the `run.bash` script.</p> <p>Source Code Modifications<br> ----------------</p> <p><strong>CESM</strong><br> The `src` subdirectory contains the files `user_nl_cam` and `ic_baroclinic.F90`. Create a case using `--compset=FKESSLER` and `--run-unsupported` options when running `create_newcase`. If your case is located at `${CASE_DIR}`, then from within the directory containing this README, run `cp user_nl_cam ${CASE_DIR}/user_nl_cam`, and then run `cp ic_baroclinic.F90 ${CASE_DIR}/SourceMods/src.cam/`. Then build and run the model using the usual workflow.</p> <p><strong>MPAS</strong></p> <p>The MPAS code was run using a branch of the MPAS model provided by the model developers to the authors. While the source code modifications are provided in the `src` directory, I would strongly recommend contacting the corresponding author if you wish to run this test case in the MPAS codebase.</p>
RMT repository test data
<p>This data set contains all of the test data which was previously housed in the R-matrix with time-dependence (RMT) repository at <a href="https://gitlab.com/Uk-amor/RMT/rmt">https://gitlab.com/Uk-amor/RMT/rmt</a>. </p> <p>There are four separate directories: atomic_big, atomic_small and molecular_tests contain sample inputs and outputs for rmt calculations. field_tests contains inputs and outputs for the field_check utility. </p> <p>Each test calculation contains an inputs and rmt_output directory. Calculations were performed with RMT compiled with the gnu compiler running on the ARCHER2 supercomputer.</p>
Evaluation of COVID-19 antigen rapid diagnostic tests for self-testing in Lesotho and Zambia - Lesotho data
<p>Dataset with Lesotho data belonging to the publication: Evaluation of COVID-19 antigen rapid diagnostic tests for self-testing in Lesotho and Zambia</p>
Data from: Pilot testing an ethanol cornual nerve block as a long-term analgesic for calf disbudding
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Training and test data with scripts for simulation-trained deep learning and likelihood-based phylogeography comparisons
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Data from: Encoding laboratory testing data: case studies of the national implementation of HHS requirements and related standards in five laboratories
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Training and test data for: Not getting in too deep: A practical deep learning approach to routine crystallisation image classification
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Data from: A comparative test for divergent adaptation: inferring speciation drivers from functional trait divergence
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Data from: Does biological intimacy shape ecological network structure? A test using a brood pollination mutualism on continental and oceanic islands
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Data from: AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test
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Data from: Testing support for the northern and southern dispersal routes out of Africa: an analysis of Levantine and southern Arabian populations
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Data from: Testing prerequisites to adaptation in Quercus agrifolia: Are leaf domatia a heritable trait?
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Data from: Testing the adaptive hypothesis of Batesian mimicry among hybridizing North American admiral butterflies
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Data from: Guppies in large groups cooperate more frequently in an experimental test of the group size paradox
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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.