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1,956 results for “test data”
Mulcom: a multiple comparison statistical test for microarray data in Bioconductor
GEO Series GSE26736. Homo sapiens. 20 samples. Type: Expression profiling by array.
Expression data from spermatogonia enriched from 12 dpc mouse testes
GEO Series GSE234896. Mus musculus. 3 samples. Type: Expression profiling by array.
Expression data from testes and abdomen in fertile and sterile introgression males
GEO Series GSE21734. Drosophila melanogaster; Drosophila simulans. 12 samples. Type: Expression profiling by array.
Microarray gene-expression data to validate a 17-gene biomarker obtained from excessive meta-analysis to test its PDAC specificity in the presence of pancreatitis tissues.
GEO Series GSE101462. Homo sapiens. 20 samples. Type: Expression profiling by array.
NEMO Gyre Test Data
<p>Small test data set for developing tools handling NEMO output.</p>
Testing ritual knot tracing for cognitive priming effects rules out analytic analogy: Core Data Sets
<p>Core data sets analyzed for Studies 1 and 2 in "Testing ritual knot tracing for cognitive priming effects rules out analytic analogy".</p> <p>Note: In keeping with Ryerson University Research Ethics Board protocol #REB 2017-065, data sets are fully anonymized, revealing coded values only and removing all personal information and metadata peripheral to the main study (including reported age, gender, language proficiency, and language usage coding).</p> <p>See main paper and supporting materials for discussion of measures, parameters, conditions, and variables.</p> <p>Corresponding author contact: jpelkey@ryerson.ca</p>
Data from the Blackpool testing controlled methane release field campaign of 2018
<p>This dataset contains raw data from Amanda (UAV1) and Phillipa (UAV2), which was acquired during UAV sampling downwind of a controlled methane release in the year 2018. Raw position and wind measurements are provided from on-board UAV1 with mole fraction measurements from a ground-based instrument connected to UAV. Raw position and mole-fraction measurements are provided from on-board UAV2. Wind speed and wind direction measurements are provided from a stationary anemometer. Temperature, pressure and relative humidity measurements are provided from a stationary monitoring station. Processed positional and corrected mole fraction measurements are provided for both UAVs. Derived wind-height profiles are provided for each flight survey. Flux results for all flight surveys are provided as MATLAB files, with results provided as a text output. Results for the analysis can be found in the journal article, "Testing the near-field Gaussian plume inversion flux quantification technique using unmanned aerial vehicle sampling", published in Atmospheric Measurement Techniques.</p>
NEMO BASIN test data
<p>Small NEMO dataset, used to develop python tools and documentation.</p>
Data Set Primary Studies for Agent-Based Software Testing: A Systematic Mapping Study
<p>This document contains the final set of primary studies used in our systematic mapping study that has been conducted with a set of 41 selected papers regarding agent-based systems in software testing. </p>
Supporting Information and data archive for ``Testing the Electrodynamic Method to Derive Height-Integrated Ionospheric Conductances,'
<p>These files provide additional graphs and supplemental data to accompany the paper “Testing the Electrodynamic Method to Derive Height-Integrated Ionospheric Conductances,” submitted to the journal <em>Annales Geophysicae </em>(paper ID angeo-2020-60)<em>. </em> Additional information is contained in the included documents READ_ME.pdf and Supporting_Information.pdf.</p> <p> </p>
Test data for sv-callers workflow
<p>This distribution includes data analyzed by the <em>sv-callers</em> workflow (v1.1.0) in the single-sample (germline) and paired-sample (somatic) modes:</p> <ul> <li>human reference genomes (in<em> .fa[sta]</em>)</li> <li>excluded genomic regions (in<em> .bed[pe]</em>) <ul> <li><a href="https://identifiers.org/encode/ENCFF001TDO">ENCODE:ENCFF001TDO</a></li> <li><a href="https://doi.org/10.1186/gb-2014-15-6-r84#ref-CR28">CEPH</a> by <a href="https://doi.org/10.1186/gb-2014-15-6-r84">Layer <em>et al</em>. (2014)</a></li> </ul> </li> <li>structural variants (SVs) detected by the workflow (in <em>.vcf</em>)</li> <li>SV <em>truth</em> sets (in<em> .bed[pe] </em>and <em>.vcf.gz</em>) <ul> <li><a href="https://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/technical/svclassify_Manuscript/Supplementary_Information/Personalis_1000_Genomes_deduplicated_deletions.bed">Personalis/1000 Genomes Project</a> data by <a href="https://doi.org/10.1186/s12864-016-2366-2">Parikh <em>et al</em>. (2016)</a></li> <li><a href="https://static-content.springer.com/esm/art%3A10.1186%2Fgb-2014-15-6-r84/MediaObjects/13059_2013_3363_MOESM4_ESM.zip">PacBio/Moleculo</a> data by <a href="https://doi.org/10.1186/gb-2014-15-6-r84">Layer <em>et al</em>. (2014)</a></li> <li><a href="https://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/vcf/nstd167.GRCh37.variant_call.vcf.gz">dbVar:nstd167</a> data by <a href="https://doi.org/10.1038/s41587-019-0217-9">Wenger <em>et al</em>. (2019)</a></li> <li><a href="https://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/by_study/vcf/nstd137.GRCh37.variant_call.vcf.gz">dbVar:nstd137</a> data by <a href="https://doi.org/10.1101/gr.214007.116">Huddleston <em>et al</em>. (2017)</a></li> </ul> </li> <li>workflow samples (in<em> .csv</em>) and config files (in <em>.yaml</em>)</li> <li>short-read alignments are not included due to large sizes but are freely available for download (in <em>.bam</em>) <ul> <li>NA12878 <a href="https://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/NA12878/NIST_NA12878_HG001_HiSeq_300x/RMNISTHS_30xdownsample.bam">sample</a></li> <li>NA24385 <a href="https://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/AshkenazimTrio/HG002_NA24385_son/NIST_Illumina_2x250bps/novoalign_bams/HG002.hs37d5.2x250.bam">sample</a></li> <li>CHM1_CHM13 <a href="https://identifiers.org/ena.embl:ERX1413368">sample</a></li> <li>COLO829 <a href="https://identifiers.org/ena.embl:ERX2765496">tumor sample</a> with matched <a href="https://identifiers.org/ena.embl:ERX2765495">normal sample</a></li> </ul> </li> <li><a href="https://github.com/GooglingTheCancerGenome/notebooks">Jupyter Notebooks</a> to analyze SV callsets (in <em>.ipynb</em>)</li> </ul>
Aquaplanet experiment data for Webb, M. J., & Lock, A. P. (2020). Testing a physical hypothesis for the relationship between climate sen-sitivity and double-ITCZ bias in climate models.Journal of Advances in Modeling Earth Systems, 12,e2019MS001999.https://doi.org/10.1029/2019MS001999
<p><strong>Aquaplanet experiment data from Webb and Lock (2020)</strong></p> <p><br> Webb, M. J., & Lock, A. P. (2020). Testing a physical hypothesis for the relationship between climate sen-sitivity and double-ITCZ bias in climate models.Journal of Advances in Modeling Earth Systems, 12,e2019MS001999.https://doi.org/10.1029/2019MS001999</p> <p>CSV files containing data from Figs 1(b) and 2(a-d)</p> <p>Figure 2b:</p> <p>APEQ.Precipitation_mmperday.zonal.csv<br> APEQ_2LW_Cloud.Precipitation_mmperday.zonal.csv<br> APEQ_3LW_Cloud.Precipitation_mmperday.zonal.csv</p> <p>Figure 3a:</p> <p>APEQ.w700.zonal.csv<br> APEQ_3LW_Cloud.w700.zonal.csv<br> APEQ_2LW_Cloud.w700.zonal.csv</p> <p>Figure 3b:</p> <p>APEQ.Estimated_Inversion_Strength_K.zonal.csv<br> APEQ_2LW_Cloud.Estimated_Inversion_Strength_K.zonal.csv<br> APEQ_3LW_Cloud.Estimated_Inversion_Strength_K.zonal.csv</p> <p>Figure 3c:</p> <p>APEQ.Net_CRE_Wperm2.zonal.csv<br> APEQ_2LW_Cloud.Net_CRE_Wperm2.zonal.csv<br> APEQ_3LW_Cloud.Net_CRE_Wperm2.zonal.csv</p> <p>Figure 3d:</p> <p>APEQ4K-APEQ.Net_CRE_Feedback_Wperm2perK.zonal.csv<br> APEQ4K_2LW_Cloud-APEQ_2LW_Cloud.Net_CRE_Feedback_Wperm2perK.zonal.csv<br> APEQ4K_3LW_Cloud-APEQ_3LW_Cloud.Net_CRE_Feedback_Wperm2perK.zonal.csv</p> <p>Any queries please contact Mark Webb mark.webb@metoffice.gov.uk</p> <p> </p>
Antimalarial test data
Background <p>Malaria, despite progresses, is still causing huge number of malaria cases and deaths. Successful control of this disease demands the availability of drugs with high efficacy and minimal toxicity. In addition to modern medicines, traditional medicinal plants have long been used for managing malaria. However, many of these medicinal plants are not scientifically validated.</p> Objective <p>This study was conducted to assess the <i>invivo</i> antimalarial activity of <i>Zehneria scabra, </i>against <i>Plasmodium berghei</i> in swiss albino mice.</p> Materials and methods <p>Maceration technique has been used to extract the plant, and four doses of the extract ranging from 25-150 mg/kg were used. Tween 80 was used as negative control, and chloroquine was used a standard drug. The level of parasitemia and malaria-related variations including, packed cell volume, survival time, temperature and body weight were measured, and these records were used to weigh the extract-treated groups against both controls.</p> Results <p>The extract was found to have a significant parasite suppression in both four-day suppressive and Rane's models (p<0.001), as well as in prophylactic model at 100 mg/kg and 150 mg/kg (P<0.001). In line with this parasitemia reduction, the doses 100 mg/kg and 150 mg/kg in the four-day suppressive test, and 150 mg/kg in Rane's test had significant (p<0.05) effect in prolonging survival time. While reduction in packed cell volume was prevented in all models at doses of 100 mg/kg and 150 mg/kg (p<0.05), temperature decline was lessened at 100 mg/kg and 150 mg/kg in four-day suppressive model, and at 150 mg/kg in Rane's model (p<0.05).</p> Conclusion <p>The antimalarial activity found in this study confirm the traditional use and <i>invitro</i> antimalarial effect of the plant, and if studied further, it may produce active constituent(s) that can be used as a lead compound (s) against malaria.</p>
Learn2Reg Challenge: CT Lung Registration - Test Data
<p>For more information about this dataset go to: https://learn2reg.grand-challenge.org/</p>
Subjective Test Dataset and Meta-data-based Models for 360° Streaming Video Quality
<p>During the last years, the number of 360° videos available for streaming has rapidly increased, leading to the<br> need for 360° streaming video quality assessment. In this paper, we report and publish results of three subjective 360° video<br> quality tests, with conditions used to reflect real-world bitrates and resolutions including 4K, 6K and 8K, resulting in 64 stimuli<br> each for the first two tests and 63 for the third. As playout device we used the HTC Vive for the first and HTC Vive Pro<br> for the remaining two tests. Video-quality ratings were collected using the 5-point Absolute Category Rating scale. The 360°<br> dataset provided with the paper contains the links of the used source videos, the raw subjective scores, video-related meta-data,<br> head rotation data and Simulator Sickness Questionnaire results per stimulus and per subject to enable reproducibility of the<br> provided results. Moreover, we use our dataset to compare the performance of state-of-the-art full-reference quality metrics such<br> as VMAF, PSNR, SSIM, ADM2, WS-PSNR and WS-SSIM. Out of all metrics, VMAF was found to show the highest correlation<br> with the subjective scores. Further, we evaluated a center-cropped version of VMAF ("VMAF-cc") that showed to provide a similar<br> performance as the full VMAF. In addition to the dataset and the objective metric evaluation, we propose two new video-quality<br> prediction models, a bitstream meta-data-based model and a hybrid no-reference model using bitrate, resolution and pixel<br> information of the video as input. The new lightweight models provide similar performance as the full-reference models while<br> enabling fast calculations.</p>
Data for tests of the NicheMapR transient heat budget modelling code
<p>This data set and code is used to test the ability of the transient heat budget modelling code in the R package NicheMapR (functions 'onelump_var', 'twolump' and 'trans_behav') against inanimate objects (fruit, pipes) and real lizards (a small and a large lizard who's activity and body temperatures were observed on the same day at an arid locality in central Australia). It generates the figures and statistics reported as supplementary information for the paper:</p> <p>Kearney, M. R. et al. 2020. Modeling the joint effects of body size and microclimate on heat budgets and foraging opportunities of ectotherms. - Methods in Ecology and Evolution in press.</p> <p>See the latter paper for more details.</p> <p>To run the code the package NicheMapR must be installed.</p>
TempSense Calibration and Testing Data
<p>Data from ice-point and boiling-point calibrations of TempSense temperature sensor and data from demonstration of an aluminum bar with heated at one end with spaced thermocouples. </p>
Raw data from the Forests (MDPI) 2020; 11(11):1222 paper: "Seed sourcing strategies considering climate change forecasts: a practical test in Scots pine"
<p>Raw data from the Forests paper: "Seed sourcing strategies considering climate change forecasts: a practical test in Scots pine"</p> <p>Forests. 2020; 11(11):1222. https://doi.org/10.3390/f11111222</p> <p>It comprises data from a multisite (5) provenance test: height (measurements years:1995, 2000 and 2005), dbh (measurements years:1995, 2000 and 2005) and survival (measurements years: 2000 and 2005)</p>
Data from: Eclipse CDT code analysis and unit testing
In this paper we look at the Eclipse IDE and its support for CDT (C/C++ Development Tools). Eclipse is an open source IDE and supports a variety of programming languages including plugin functionality. Eclipse supports the standard GNU environment for compiling, building and debugging applications. The CDT is a plugin which enables development of C/C++ applications in eclipse. It enables functionality including code browsing, syntax highlighting and code completion. We verify a 50X improvement in LOC automation for Fake class .cpp / .h and class test .cpp code generation.
Data from: Utility of geometric morphometrics for inferring feeding habit from mouthpart morphology in insects: tests with larval Carabidae (Insecta: Coleoptera)
Feeding habits are important life-history traits in animals; however, methods for their determination are not well established in many species. The larvae of the beetle family Carabidae are an example. The present study tested the utility of geometric morphometrics of mouthpart morphology to infer the feeding habits of carabid larvae. Using Pterostichus thunbergi as a model system, larval feeding habits were inferred using geometric morphometrics of mouthparts and the results were compared with those obtained from rearing experiments. The rearing experiments indicated that P. thunbergi larvae are carnivores that require snails as an essential part of the diet. Through geometric morphometrics, associations between mouthpart morphology and larval feeding habits were confirmed for species in which these two traits are known. A discriminant analysis using these associations classified P. thunbergi larvae as snail/slug feeders, which is a result compatible with the rearing experiments. Geometric morphometrics also revealed that morphological integration and ontogenetic shape change might play roles in the diversification of mouthpart morphology. Overall, these results demonstrate the utility of the geometric morphometrics of mouthparts to infer feeding habit and to clarify the mechanisms of mouthpart morphological diversification in the study group, and the results also serve as a basis for future studies of other insect groups.
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.