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113 results for “reference test”
Testing absolute plate reference frames and the implications for the generation of geodynamic mantle heterogeneity structure
<div>Description of Resources - Shephard et al. (2012)</div> <div> </div> <div>This file provides a detailed description of all of the files that make up the data collection associated with the publication: Shephard, G. E., Bunge, H. P., Schuberth, B. S., Müller, R. D., Talsma, A. S., Moder, C., & Landgrebe, T. C. W. (2012). Testing absolute plate reference frames and the implications for the generation of geodynamic mantle heterogeneity structure. Earth and Planetary Science Letters, 317, 204-217. doi: <a href="https://doi.org/10.1016/j.epsl.2011.11.027" target="_blank" rel="noopener">10.1016/j.epsl.2011.11.027</a></div> <div> </div> <div>Note: For information on file formats and what programs to use to interact with various file formats, see "File Formats and Recommended Programs”.</div> <div> </div> <div>This data collection includes both the rotations and topologically closed polygons* for each of the 5 absolute reference frames that were tested in the publication. They are to be loaded in GPlates (<a href="http://www.gplates.org" target="_blank" rel="noopener">http://www.gplates.org</a>).</div> <div> </div> <div>*Topologically closed plate polygons are constructed from the intersection of ridges, transforms, subduction zones and other plate boundary geometries. These 'resolved topologies' are valid at 1 Myr intervals. The plate boundary geometries and plate polygons have been assigned plate reconstruction IDs to allow them to be reconstructed using the supplied rotation files. </div> <div> </div> <div>The files associated with this data collection include:</div> <div>• <strong>Hybrid hotspot model (Moving and Fixed hotspots) (HHS)</strong></div> <div>* Caltech_Global_20110311HHS.gpml (37 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412HHS.rot (287 KB)- global rotation model</div> <div> </div> <div>• <strong>Fixed hotspot model (FHS)</strong></div> <div>* Caltech_Global_20110311FHS.gpml (36.8 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412FHS.rot (291 KB) - global rotation model</div> <div> </div> <div>•<strong> Hybrid hotspot and palaeomagnetic model (PMG)</strong></div> <div>* Caltech_Global_20110311PMG.gpml (35.9 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412PMG.rot (287 KB) - global rotation model</div> <div> </div> <div>• <strong>Subduction reference frame model (SUB)</strong></div> <div>* Caltech_Global_20110311SUB.gpml (36 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412SUB.rot (287 KB) - global rotation model</div> <div> </div> <div>• <strong>Hybrid hotspot and TPW-corrected palaeomagnetic model (TPW)</strong></div> <div>* Caltech_Global_20110311TPW.gpml (36.8 MB) - topologically closed plate polygons and plate boundary geometries</div> <div>* Caltech_Global_20110412TPW.rot (287 KB)- global rotation model</div> <div> </div> <div>Project files (.gproj) are included for each .gpml/.rot pair.</div> <div> </div> <div>This article has additional supplementary data available with the online publication.</div> <div> </div> <div> </div> <div>Additional notes:</div> <div>*.rot contains the rotations for all plates and topological polygons.</div> <div>Each model is specific according to the African Plate (Plate ID 701) rotations. The rotations for all other plates are the same across each of the five models with the exception of cross-overs involving Pacific/Panthalassa plates for times earlier than 83.5Ma; these must be absolute reference frame specific and were re-calculated for each model. Programs used to calculate the new finite rotations include "adder" and "seaflow" </div> <div> </div> <div>*.gpml and .shp files contain continuously closing plate polygons i.e. from plate boundaries, from 140 Ma to present-day in 1 million year increments. </div> <div>These files differ slightly from those used in the paper, but are the most up-to-date version (as at May 2011) and are based on an updated model, Seton et al. (2012).</div> <div>They are specific to each of the five absolute reference frames. </div> <div> </div> <div>Note on velocity calculations in GPlates:</div> <div>GPlates calculates the velocity within each plate based on the stage rotation for that time period and averages for that respective period. For this reason, the velocities of a plate do not change incrementally within the time period and then abruptly change according to the next time period/stage rotation. </div> <div>This is also why there appears to be a "jump" in velocity magnitude and direction between 140 and 139 Ma.</div>
RE-Lab-Projects/TRY_DE_2015_2045: Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale
<p>Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale</p> <p><strong>Summary:</strong></p> <p>The data set contains the updated test reference years (TRY) of the German Weather Service (DWD). By subdividing into 15 TRY regions, each postcode area can be assigned a representative weather data set. It should be emphasized that in addition to a mean, current test reference year for a region, there is also a year with extreme summer and extreme winter weather. To take climate change into account, there is then a time series for the year 2045 for each test reference year based on the IPCC climate models. This means that a total of 90 weather data sets are available with a one-hour time resolution.</p> <p>In order to use the data in simulations with a temporal resolution of 1min or 15min, the data set was extended by linear interpolation. While this approach is justifiable for air pressure and temperature, for example, it does not depict high fluctuations in solar radiation. Therefore, based on the one-minute open data measurement data set of the Baseline Surface Radiation Network, with an algorithm by Hofmann et. al. the time series of global radiation are newly generated for all test reference years. Another algorithm by Hofmann et. al. was used to calculate the corresponding diffuse radiation times series.</p> <p><strong>Sources:</strong></p> <ul> <li>Raw data from DWD: <a href="https://kunden.dwd.de/obt/">https://kunden.dwd.de/obt/</a> -> <code>1_raw-data</code></li> <li>Synthetic 1min radiation data: <a href="http://pvmodelling.org/">http://pvmodelling.org/</a> -> <code>2_synthetic-radiation</code></li> </ul> <p><strong>How to use or recreate the final dataset:</strong></p> <ol> <li>clone/download this repository</li> <li>unzip the files from the data.zip file <ol> <li><a href="https://github.com/RE-Lab-Projects/TRY_DE_2015_2045/releases/download/v1.4.0/data.zip">https://github.com/RE-Lab-Projects/TRY_DE_2015_2045/releases/download/v1.4.0/data.zip</a></li> </ol> </li> <li>Use or recreate the final dataset <ol> <li>use: Final datasets are then located in -> <code>3_processed-data</code></li> <li>recreate: run the <code>process-data.py</code></li> </ol> </li> </ol> <p><strong>Test reference stations / regions</strong></p> <p>No. | lon | lat | station | region<br> 1 | 53.5591 | 8.5872 | Bremerhaven | Nordseeküste<br> 2 | 54.0878 | 12.1088 | Rostock | Ostseeküste<br> 3 | 53.5299 | 10.0078 | Hamburg | Nordwestdeutsches Tiefland<br> 4 | 52.3938 | 13.0651 | Potsdam | Nordostdeutsches Tiefland<br> 5 | 51.4562 | 7.0568 | Essen | Niederrheinisch-westfälische Bucht und Emsland<br> 6 | 550.6461 | 7.9426 | Bad Marienburg | Nördliche und westliche Mittelgebirge, Randgebiete<br> 7 | 51.3334 | 9.4725 | Kassel | Nördliche und westliche Mittelgebirge, zentrale Bereiche<br> 8 | 51.7239 | 10.6069 | Braunlage | Oberharz und Schwarzwald (mittlere Lagen)<br> 9 | 50.8233 | 12.9181 | Chemnitz | Thüringer Becken und Sächsisches Hügelland<br> 10 | 50.3226 | 11.9124 | Hof | Südöstliche Mittelgebirge bis 1000 m<br> 11 | 50.4312 | 12.9522 | Fichtelberg | Erzgebirge, Böhmer- und Schwarzwald oberhalb 1000 m<br> 12 | 49.4902 | 8.4637 | Mannheim | Oberrheingraben und unteres Neckartal<br> 13 | 48.2432 | 12.5286 | Mühldorf | Schwäbisch-fränkisches Stufenland und Alpenvorland<br> 14 | 48.6536 | 9.8666 | Stötten | Schwäbische Alb und Baar<br> 15 | 47.4945 | 11.1046 | Garmisch Partenkirchen | Alpenrand und -täler</p> <p><strong>Content</strong></p> <ul> <li><strong>files</strong>: 90 test reference years (TRY) <pre><code>15 test reference regions x 3 reference conditions (average year, extreme summer, extreme winter) x 2 reference projections (year 2015 and year 2045) </code></pre> </li> <li><strong>columns per file</strong>: <pre><code>datetime [yyyy-MM-dd hh:mm:ss+01:00/02:00] temperature [degC] pressure [hPa] wind direction [deg] wind speed [m/s] cloud coverage [1/8] humidity [%] direct irradiance [W/m^2] diffuse irradiance [W/m^2] synthetic global irradiance [W/m^2] synthetic diffuse irradiance [W/m^2] clear sky irradiance [W/m^2] </code></pre> </li> <li><strong>length</strong>: 1 year</li> <li><strong>time increment</strong>: 60s / 900s / 3600s</li> </ul> <p><strong>Important hints</strong>:</p> <ul> <li>all files in <code>3_processed-data</code> were calculated with the skript <code>process-data.py</code></li> <li><em>A value with, for example, a timestamp 12:00:00 represents the mean value from this timestamp until the following timestamp.</em></li> <li><em>datetime column is in CET / CEST</em></li> </ul>
Full dataset of several mechanical tests on an S355 steel sheet as reference data for digital representations
<p>The dataset provided in this repository comprises data obtained from a series of characterization tests performed to a sheet of typical S355 (material number: 1.0577) structural steel (designation of steel according to DIN EN 10025-2:2019). The tests include methods for the determination of mechanical properties such as, e.g., tensile test, Charpy test and sonic resonance test. This dataset is intended to be extended by the inclusion of data obtained from further test methods. Therefore, the entire dataset (concept DOI) comprises several parts (versions), each of which is addressed by a unique version DOI.</p> <p>The data were generated in the frame of the digitization project Innovationplatform Material<em>Digital </em>(PMD) which, amongst other activities, aims to store data in a semantically and machine understandable way. Therefore, data structuring and data formats are focused in addition to aspects in the field of material science and engineering (MSE). Hence, this data is supposed to provide reference data as basis for experimental data inclusion, conversion and structuring (data management and processing) that leads to semantical expressivity as well as for MSE experts being generally interested in the material properties and knowledge.</p>
Reference atmospheres, surface and instrument data used in the test experiments presented in Ridolfi et al. 2022 (doi.org/10.5194/amt-2022-82)
<p>The supplied archive includes a set of ASCII files defining the reference atmospheric and surface states that are the basis of the simulation experiments presented in the paper of Ridolfi et al. 2022 (doi.org/10.5194/amt-2022-82). Along with atmospheric and surface data, we also supply the seasonal variability and mismatch errors used in the test experiments presented in that paper, the noise error covariance matrices anticipated for FORUM and IASI-NG spectra, and some details of the retrieval setup. The archive includes a README file summarizing the contents of the various files provided.</p>
Results of inter-laboratory testing on COSC-1 cores and reference samples (density, porosity, thermal properties)
<p>The data files contain the results of comparative measurements of thermal properties of four widely used rock references and nine core samples originating from the ICDP COSC-1 borehole, using a steady-state and a transient divided-bar device, a transient plane source device, a modified Angstrom device, as well as two optical thermal conductivity scanners. In addition, the Dewar method provided benchmark values for specific heat capacity. </p> <p>participating institutions and methods (acronyms used in file headers)</p> <p>Chalmers University (CU) transient plane source (TPS)<br>Geological Survey of Sweden (SGU) optical scanning (TCS) <br>Ruhr-Universit ̈at Bochum (RUB) Dewar method, modified Angstrom (mAng), optical scanning (TCS)<br>Aarhus University (AU) transient divided bar (TDB)<br>University College Dublin (UCD) divided bar (DB)</p>
BAM reference data: results of ASTM E139 -11 creep tests on a reference material of Nimonic 75 nickel-base alloy
<p>Results of creep tests on a certified reference material at T = 600°C and a tensile creep load of 160 MPa are provided. The raw data are available in ASCII format (*.lis files). <br> The file "Inhalt_Content_V1.1.pdf" contains further information about the files provided.<br> The evaluated results include the times to reach 2% and 4% creep strain, respectively, and the creep rate after 400 h.</p> <p>The tests were carried out in an accredited test laboratory. The calibrations of all measurands and test and measuring equipment are documented. The calibrations meet the requirements of the test procedure and are metrologically traceable.</p>
Power of Bayesian and heuristic tests to detect cross-species introgression with reference to gene flow in the Tamias quadrivittatus group of North American chipmunks
<p>In the past two decades genomic data have been widely used to detect historical gene flow between species in a variety of plants and animals. The Tamias quadrivittatus group of North America chipmunks, which originated through a series of rapid speciation events, are known to undergo massive amounts of mitochondrial introgression. Yet in a recent analysis of targeted nuclear loci from the group, no evidence for cross-species introgression was detected, indicating widespread cytonuclear discordance. The study used the heuristic method HyDe to detect gene flow, which may suffer from low power. Here we use the Bayesian method implemented in the program bpp to reanalyze these data. We develop a Bayesian test of introgression, calculating the Bayes factor via the Savage-Dickey density ratio using the Markov chain Monte Carlo (MCMC) sample under the model of introgression. We take a stepwise approach to constructing an introgression model by adding introgression events onto a well-supported binary species tree. The analysis detected robust evidence for multiple ancient introgression events affecting the nuclear genome, with introgression probabilities reaching 63%. We estimate population parameters and highlight the fact that species divergence times may be seriously underestimated if ancient cross-species gene flow is ignored in the analysis. We examine the assumptions and performance of HyDe, and demonstrate that it lacks power if gene flow occurs between sister lineages or if the mode of gene flow does not match the assumed hybrid speciation model with symmetrical population sizes. Our analyses highlight the power of likelihood-based inference of cross-species gene flow using genomic sequence data.</p>
Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
<p>Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possibilities allowed by GenAPoPop software.</p> <p>Raw datasets used for testing GenAPoPop 1.0, A user-friendly software for easily compute genetic analyses of autopolyploid populations packaged for Linux, MacOS and Windows; Results obtained from Spagedi 1.5 (Hardy & Vekemans 2001) and GenAPoPop1.0.</p> <p>Four pseudo-observed genotyping autotetrapolyploid SNP datasets, corresponding respectively to panmictic (A), highly clonal (B), highly selfed (C) and half-clonal-half-selfed (D) reproductive mode scenario. In all these four scenarios, we simulated two populations of 100 individuals each, connected with a migration rate of 0.01 and mutating at a rate of 0.01, genotyped at 10 SNPs. Datasets were recorded 1000 generations after an initial randomly drawing population with equal allele frequencies.</p> <p>One SNP tetraploid genotyping dataset from two French <em>Ludwigia grandiflora subsp. hexapetala</em> populations (aquatic plant from the Angiosperm clade): two populations in which we collected 75 individuals, each genotyped with 36 SNPs using the Hiplex method allowing confident allele dosage (Delord et al. 2018).</p> <p>One microsatellite tetraploid genotyping dataset on two Aulactinia stella populations (sea-anemone from the Cnidaria phylum), sampled on the coast of the arctic ocean. One population of 21 individuals and one population of 15 individuals, both genotyped with 10 microsatellites.</p> <p>We also report here the consistency tests with GenAlex and Spagedi, results of analyses (GPP tab) on 6300 independant simulations and inferences of the quantitative reproductive modes using the bayesian method on CEMP tab made on 6300 another independant simulations.</p>
NEW REFERENCE HVDC DIVIDER FOR THE CALIBRATION OF TESTING EQUIPMENT UP TO 1600 kV
<p>An international metrology project named “EMPIR 19ENG02 FutureEnergy” started in June 2020, is developing, building, and evaluating measurement equipment and systems for the UHV level. This paper describes the work on a new reference UHVDC voltage divider for the calibration of testing equipment up to at least 1600 kV. This divider has a modular design and target expanded measurement uncertainty of 200 μV/V. The need for such measurement systems results from new measurement methods for future energy transmission grids. After the construction of the UHVDC voltage divider, the targeted measurement uncertainty of 200 μV/V was successfully at 1200 kV during a measurement campaign at PTB. The linearity and temperature dependence of the UHVDC divider modules as well as the overall results of this new divider are included in this work. This work will lead to new calibration and measurement capabilities (CMC) for traceability of the designed divider systems for participating national metrology institutes (NMI).</p>
Power of Bayesian and heuristic tests to detect cross-species introgression with reference to gene flow in the Tamias quadrivittatus group of North American chipmunks
Open the record for dataset details and reuse information.
Kenyan reference values for chemistry and immunoassay tests
<p>This data set contains reference values for several chemistry and immunoassay tests. The samples tha were analysed were from healthy adults aged 18-65 years recruited from selected counties in Kenya as part of a reference interval study carried out by the International Federation of Clinical Chemistry committee on reference intervals and decision limits. </p>
LMAS Test Dataset - NIBSC Gut DNA Reference
<p>The twenty bacterial replicons of the National Institute for <a href="https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-020-00856-3">Biological Standards and Control (NIBSC) Gut Community Standards</a> were used as reference. It includes the following strains:</p> <table> <thead> <tr> <th>Species</th> <th>Culture collection number</th> <th>Accession numbers</th> <th>Status</th> <th>Gut-Mix-RR Coverage (x)</th> <th>Gut-HiLo-RR Coverage (x)</th> </tr> </thead> <tbody> <tr> <td>Akkermansia muciniphila</td> <td>DSM 22959</td> <td>NC_010655</td> <td>Complete genome</td> <td>33.33</td> <td>0.94</td> </tr> <tr> <td>Alistipes finegoldii</td> <td>DSM 17242</td> <td>NC_018011</td> <td>Complete genome</td> <td>16.94</td> <td>4.85</td> </tr> <tr> <td>Anaerostipes hadrus</td> <td>DSM 3319</td> <td>NZ_KB290627</td> <td>Complete genome</td> <td>24.04</td> <td>6.89</td> </tr> <tr> <td>Bacteroides thetaiotaomicron</td> <td>DSM 2079</td> <td>NC_004663</td> <td>Complete genome</td> <td>5.99</td> <td>17.19</td> </tr> <tr> <td>Bacteroides uniformis</td> <td>DSM 6597</td> <td>GCF_000154205</td> <td>Scaffold</td> <td>10.81</td> <td>3.10</td> </tr> <tr> <td>Bifidobacterium longum subsp. infantis</td> <td>DSM 20088</td> <td>NC_011593</td> <td>Complete genome</td> <td>29.52</td> <td>84.63</td> </tr> <tr> <td>Bifidobacterium longum subsp. longum</td> <td>DSM 20219</td> <td>GCF_900104835</td> <td>Contig</td> <td>40.19</td> <td>115.10</td> </tr> <tr> <td>Blautia wexlerae</td> <td>DSM 19850</td> <td>GCF_000484655</td> <td>Scaffold</td> <td>11.68</td> <td>0.34</td> </tr> <tr> <td>Clostridium butyricum</td> <td>DSM 10702</td> <td>GCF_000409755</td> <td>Contig</td> <td>11.21</td> <td>32.09</td> </tr> <tr> <td>Collinsella aerofaciens</td> <td>DSM 13712</td> <td>GCF_902501475</td> <td>Contig</td> <td>44.03</td> <td>12.61</td> </tr> <tr> <td>Escherichia coli</td> <td>DSM 1103</td> <td>CP009072</td> <td>Complete genome</td> <td>8.86</td> <td>25.34</td> </tr> <tr> <td>Eubacterium hallii</td> <td>DSM 3353</td> <td>GCF_000173975</td> <td>Contig</td> <td>21.79</td> <td>6.25</td> </tr> <tr> <td>Faecalibacterium prausnitzii</td> <td>DSM 17677</td> <td>NZ_CP048437</td> <td>Complete genome</td> <td>24.66</td> <td>0.72</td> </tr> <tr> <td>Lactobacillus gasseri</td> <td>DSM 20077</td> <td>NC_008530</td> <td>Complete genome</td> <td>66.00</td> <td>1.91</td> </tr> <tr> <td>Parabacteroides distasonis</td> <td>DSM 20701</td> <td>NC_009615</td> <td>Complete genome</td> <td>10.20</td> <td>29.26</td> </tr> <tr> <td>Prevotella copri</td> <td>DSM 18205</td> <td>GCF_000157935</td> <td>Scaffold</td> <td>19.23</td> <td>55.11</td> </tr> <tr> <td>Prevotella melaninogenica</td> <td>DSM 7089</td> <td>NC_014370,1 and NC_014371,1</td> <td>2 Chromosomes</td> <td>23.49</td> <td>6.73</td> </tr> <tr> <td>Roseburia hominis</td> <td>DSM 16839</td> <td>NC_015977</td> <td>Complete genome</td> <td>18.31</td> <td>5.24</td> </tr> <tr> <td>Roseburia intestinalis</td> <td>DSM 14610</td> <td>NZ_LR027880</td> <td>Complete genome</td> <td>12.04</td> <td>0.34</td> </tr> <tr> <td>Ruminococcus gauvreauii</td> <td>DSM 19829</td> <td>GCF_000425525</td> <td>Scaffold</td> <td>14.04</td> <td>0.41</td> </tr> </tbody> </table> <p>The raw sequence data of the mock communities, with an even and staggered distribution of species, is available at:</p> <ul> <li><a href="https://www.ebi.ac.uk/ena/browser/view/SRR11487941?show=reads">SRR11487941</a> - Gut-Mix-RR Illumina MiSeq sample</li> <li><a href="https://www.ebi.ac.uk/ena/browser/view/SRR11487935?show=reads">SRR11487935</a> - Gut-Mix-HiLo Illumina MiSeq sample</li> </ul>
Improved estimation of the prevalence of bovine cysticercosis and the diagnostic test characteristics in the absence of a reference standard using Bayesian Latent Class models, the example of Jimma and Ambo Abattoirs, Ethiopia
<p>Bovine cysticercosis is an infection of cattle musculature with the cestode parasite of humans known as Taenia saginata. This bovine cysticercosis data was collected from two Ambattoirs in Ethiopia namely Ambo and Jimma. Dissection of the predilection site, Ag-ELISA, and meat inspection were the diagnostic methods employed. Cysticerci collected during dissection of the predilection site were also confirmed using multiplex PCR. </p>
3D cranial landmark coordinates from the Athens Collection. A modern Greek population reference dataset for testing 3D-ID software
<p>The present dataset comprises the landmark coordinates of 158 intact crania (80 males and 78 females) of adult individuals from the Athens Collection. The 3D coordinates of up to 34 landmarks have been extracted from high quality textured 3D models produced with photogrammetry. The dataset aims to evaluate the correct classification performance of 3D-ID software. Hence, the dataset contains the landmark 3D coordinates both in Meshlab's PickedPoints files (.pp) but also in 3D-ID's input text format (.3did). The dataset is accompanied by certain GNU Octave scripts and functions used for data conversion and integrity check. For more details see the Dataset Description pdf.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 3, Reference Tests on Air
<p>The test series was created to receive information about the impact of the behaviour of two different piezoelectric shear wave sensors on the measurement results of ultrasonic pulse transmission tests. The approach for the test series was to vary the parameters pulse-width and the shear-wave-sensor-type. This results in a two-dimensional test parameter grid (pulse-width versus shear-wave-sensor-type). Tests were performed for each grid point in order to receive information needed to optimize the pulse width, but also a possible dependency between material and sensor behaviour. The material tested was the air of the laboratory environment. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 7, Reference Tests on Aluminium Cylinder
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for metals (aluminium cylinder). The approach for the test series was to vary the parameters number-of-samples-recorded and pulse-voltage. This results in a two-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage) in order to receive statistical information about the stability of the test results. The material tested was an aluminium cylinder with a diameter of 50 millimetres and a height of 50 millimetres. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 6, Reference Tests on Water
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for liquid materials (water). The approach for the test series was to vary the parameters number-of-samples-recorded, pulse-voltage and distance-between-actuator-and-sensor. This results in a three-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage versus distance-between-actuator-and-sensor) in order to receive statistical information about the stability of the test results. The material tested was water from the tap of the laboratory water supply system. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 5, Reference Tests on Air
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for aeriform materials (air). The approach for the test series was to vary the parameters number-of-samples-recorded, pulse-voltage and distance-between-actuator-and-sensor. This results in a three-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage versus distance-between-actuator-and-sensor) in order to receive statistical information about the stability of the test results. The material tested was the air in the laboratory room. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Effectiveness of the Screen, Test, Immunize, Reduce Risk, and Refer (STIRR) Intervention for People With Both a Mental and Substance Abuse Disorder
ClinicalTrials.gov study NCT00316303. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Reference Intervals of Complete Blood Count and Coagulation Tests in Pregnant Women at Hung Vuong Hospital
ClinicalTrials.gov study NCT05929326. IPD Sharing: YES. Countries: 1. Publications: 5.
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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.