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1,819 results for “Experimental data”
Fig. 11 Erythraeus cinereus, larva. a Leg I. b Leg II. c Leg III. d Tarsus I. e Tarsus II in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 11 Erythraeus cinereus, larva. a Leg I. b Leg II. c Leg III. d Tarsus I. e Tarsus II (d, e, only specialized setae shown)
Fig. 9 Erythraeus cinereus, larva. a Chelicera. b in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 9 Erythraeus cinereus, larva. a Chelicera. b Gnathosoma (and scutum), dorsal view. c Gnathosoma, ventral view. d Palp tibia. e Palp tarsus
Fig. 8 Erythraeus cinereus, adult. a Palp, medial view. b Crista metopica and eyes. c Dorsal opisthosomal setae. d in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 8 Erythraeus cinereus, adult. a Palp, medial view. b Crista metopica and eyes. c Dorsal opisthosomal setae. d Serratala on genu I. e Serratala on genu IV. f Diversity of serratalae and setae of non-serratalae type on telofemora, genua, and tibiae of legs I–IV
Fig. 6 Erythraeus phalangoides, larva. a in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 6 Erythraeus phalangoides, larva. a Gnathosoma and idiosoma, dorsal view. b Dorsal opisthosomal setae. c Gnathosoma and idiosoma, ventral view. d Seta ps
Fig. 10 Erythraeus cinereus, larva. a in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 10 Erythraeus cinereus, larva. a Gnathosoma and idiosoma, dorsal view. b Dorsal opisthosomal setae. c Gnathosoma and idiosoma, ventral view. d Seta ps
Fig. 12 Erythraeus regalis, adult. a Palp, medial view. b Crista metopica and eyes. c Dorsal opisthosomal setae. d in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 12 Erythraeus regalis, adult. a Palp, medial view. b Crista metopica and eyes. c Dorsal opisthosomal setae. d Serratala on genu I. e Serratala on genu IV. f Diversity of serratalae and setae of non-serratalae type on telofemora, genua, and tibiae of legs I–IV
Fig. 16 Erythraeus regalis, larva. a Leg I. b Leg II. c Leg III. d Genu-tarsus I. e Genu-tarsus II in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 16 Erythraeus regalis, larva. a Leg I. b Leg II. c Leg III. d Genu-tarsus I. e Genu-tarsus II. Tibia-tarsus III (d–f, only specialized setae shown)
Fig. 7 Erythraeus phalangoides, larva. a Leg I. b Leg II. c Leg III. d Tarsus I. e Tarsus II. f in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 7 Erythraeus phalangoides, larva. a Leg I. b Leg II. c Leg III. d Tarsus I. e Tarsus II. f Tarsus III (d–f, only specialized setae shown)
Fig. 5 Erythraeus phalangoides, larva. a in Towards resolving the double classification in Erythraeus (Actinotrichida: Erythraeidae): matching larvae with adults using 28S sequence data and experimental rearing
Fig. 5 Erythraeus phalangoides, larva. a Gnathosoma (and scutum), dorsal view. b Odontus. c Gnathosoma, ventral view. d Palp tarsus
Experimental data for the paper Andrews-Curtis conjecture, term rewriting and first-order proofs
<p>This dataset contains proofs obtained by Prover9 and refutations by Mace4 for AC-simplifications. </p>
Experimental wheat data
<p>Wheat plot flowering</p>
Experimental barley data
<p>Barley plot heading</p>
Synchronous generator experimental data (voltage, current and rotor position data)
<p>This database is composed of stator voltages and currents, field voltage and rotor position of a three-phase synchronous generator under resistive load. The data were acquired by means of two Tektronix MSO 2014B oscilloscopes with 4 channels each. Data were collected on 8 channels corresponding to phase voltages (Va,Vb,Vc), phase currents (Ia,Ib,Ic), field current of the generator (Ifd) and a pulse signal for angular position reference of the rotor (theta_m). For the simultaneous collection of the signals, a trip circuit was designed and implemented, the output of which was used as the triggering signal for the oscilloscopes. The synchronous generator was connected to a synchronous motor (Y-Y) and to a resistive circuit (18 units of 40W lamps) which served as loads. Voltage data were collected by means of a Keysight N2791 voltage probes; current data were collected using Tektronix A622 current tips. An PHCT203 optical key was used to collect rotor position pulse signal. The generator model is MOTROM M610-75-B-1K8-GS of 0.5 cv, 1800 rpm, 4 poles. The generator parameters obtained by means of physical bench tests were:</p> <p>Rs = 32.5 ohms (stator winding resistance)</p> <p>Rfd = 358.9 ohms (field winding resistance)</p> <p>Ld = 0.803H (direct axis stator inductance)</p> <p>Lq = 0.691H (quadrature axis stator inductance)</p> <p>Lls = 0.12H (stator winding leakage inductance)</p> <p>Lfd = 2.23H (field winding inductance)</p> <p>Vf = 64V (field voltage applied during the experiment, supplied by an regulated DC source)</p> <p> </p> <p>The database is composed by the following files of preprocessed data sampled at 10kHz in which the following variables are given, respectively, time, Va, Vb, Vc, Theta_r, Ia, Ib, Ic:</p> <p>1) data0001.txt</p> <p>2) data0002.txt</p> <p>3) data0003.txt</p> <p>4) data0001.csv</p> <p>5) data0002.csv</p> <p>6) data0003.csv</p> <p> </p> <p>Further, the database contains the following files of raw data:</p> <p>1) T0001A.txt</p> <p>2) T0001B.txt</p> <p>3) T0002A.txt</p> <p>4) T0002B.txt</p> <p>5) T0003A.txt</p> <p>6) T0003B.txt</p> <p>Each realization is contained in two files (suffixes A,B) and contain:</p> <p>Suffix A</p> <p>time</p> <p>CH1 (Va)</p> <p>CH1_peak (Va peak)</p> <p>CH2 (Vb)</p> <p>CH2_peak (Vb peak)</p> <p>CH3 (Vc)</p> <p>CH3_peak (Vc peak)</p> <p>CH4 (Theta_r)</p> <p>CH4_peak (Theta_r peak)</p> <p> </p> <p>Suffix B</p> <p>time</p> <p>CH1 (Ia)</p> <p>CH1_peak (Ia peak)</p> <p>CH2 (Ib)</p> <p>CH2_peak (Ib peak)</p> <p>CH3 (Ic)</p> <p>CH3_peak (Ic peak)</p> <p>CH4 (EMPTY)</p> <p>CH4_peak (EMPTY)</p> <p> </p> <p>When using the raw data, it is important to consider that the values were acquired in the following conditions:</p> <p>- Voltage probe scale: 100:1</p> <p>- Current probe scale: 100mV/A</p> <p>- Oscilloscope probe scale: 10x<br> <br> - Oscilloscope configuration: check header of raw files.</p> <p> </p> <p>Contact information: jose.grzybowski@uffs.edu.br</p>
Oatmeal Data: Experimental cone-beam tomographic data for techniques to improve image resolution
<p><sub>This submission contains supplementary material to A.A. Hendriksen et al., (2019). Throughout the description, we mention this publication as the "referred paper". </sub></p> <p> </p> <p><strong>Description Summary</strong></p> <p>"Oatmeal Data" is a collection of experimental tomographic data of a plastic jar filled with store-bought mixed-size flake oatmeal. The dataset was collected to test methods specifically developed for improving image resolution in a reconstructed volume (primarily for machine learning).</p> <p>As well as the raw (unprocessed) tomographic data, this submission includes training and test data, weights and geometry parameters, and a text file (Makefile) to reproduce the results presented in the referred paper. The full list of contents is given below. </p> <p> </p> <p><strong>Apparatus</strong></p> <p>The dataset is acquired using the custom-built and highly flexible CT scanner, FleX-ray Laboratory, developed by XRE NV and located at CWI. This apparatus consists of a cone-beam microfocus X-ray point source that projects polychromatic X-rays onto a 1944-by-1536 pixels, 14-bit, flat detector panel. </p> <p> </p> <p><strong>Sample Information</strong></p> <p>The sample consists of a thin-walled plastic far filled with store-bought mixed-sized oatmeal flakes. This sample was chosen due to its repeating/self-similar structure. This self-similarity is an important factor and is exploited in the algorithm for improving image resolution, presented in the referred paper.</p> <p> </p> <p><strong>Experimental Plan</strong></p> <p>Three experiments at two magnification levels were performed, which are denoted by <strong>Zoom1</strong> and <strong>Zoom4</strong>: <em>Zoom1</em> is the dataset collected with magnification factor of 1.09, with the plastic jar filled with oatmeal fully in view. <em>Zoom4 - centre</em> is the sample scanned at magnification of 4.38, with the field of view aligned with the centre of the same (i.e. the centre of the original view in Zoom1). <em>Zoom4 - top</em> is where the tube and the detector are positioned to show the top of the sample (surface level of the oatmeal flakes is visible at the top of the field of view).</p> <p>The datasets were collected over a 360° in circular and continuous motion with 2000 projections distributed evenly over the full circle. The upload includes the raw data collected following the experimental plan, which includes additional projections for normalization: one dark-field (closed shutter) and two (pre- and post-) flat-field (open shutter) images. Each dataset is packaged with the full list of data and scan settings files (in .txt format). These files contain the tube settings, scan geometry and full list of motor positions at the start of the scan. In addition, ASTRA geometry format file is included for each data in the geometries folder. </p> <p> </p> <p><strong>List of Contents</strong></p> <p>The contents of the submission (sorted into folders) is given below.</p> <ul> <li><strong>data</strong>: The raw (uncorrected) datasets (including dark and flat fields) for <ul> <li><em>Zoom1,</em></li> <li><em>Zoom4-centre,</em></li> <li><em>Zoom4-top.</em></li> </ul> </li> <li><em><strong>geometries</strong></em>: The set of parameters needed for the ASTRA forward and back projectors.</li> <li><em><strong>test</strong></em>: Test dataset compiled as detailed in the referred paper, or in <a href="https://ahendriksen.github.io/on_the_fly/readme.html">On-the-fly GitHub documentation.</a></li> <li><em><strong>train</strong></em>: Training dataset as detailed in the referred paper, or in <a href="https://ahendriksen.github.io/on_the_fly/readme.html">On-the-fly GitHub documentation.</a></li> <li><em><strong>weights</strong></em>: Weights as detailed in the referred paper, or in <a href="https://ahendriksen.github.io/on_the_fly/readme.html">On-the-fly GitHub documentation.</a></li> <li><em><strong>Makefile</strong></em>: File containing steps to reproduce results presented in the referred paper.</li> </ul> <p> </p> <p><strong>Additional Links</strong></p> <p>These datasets are produced by the <a href="https://www.cwi.nl/research/groups/computational-imaging">Computational Imaging group</a> at Centrum Wiskunde & Informatica (CI-CWI). For any useful Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's <a href="http://github.com/cicwi">GitHub page</a>.</p> <p> </p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these dataset, please get in touch with </p> <ul> <li>s.b.coban [at] cwi.nl</li> <li>allard.hendriksen [at] cwi.nl</li> </ul> <p> </p>
Data from: Inbreeding does not alter the response to an experimental heat wave in a freshwater snail
<p>Data are saved as a tab-delimited text file (data.txt).</p> <p>The data file has the following columns:</p> <p>population - snail population (1 = Zurichberg, 2 = Adlisberg)<br> family - snail family (27 families)<br> temperature - temperature treatment (15C, 25C)<br> mating_type - mating type category (0 = produced through outcrossing, 1 = produced through forced self-fertilization, 2 = produced through self-fertilization despite access to a mate)<br> block - blocks of the experiment (3 blocks)<br> reproduction - reproductive status of experimental snails (0 = did not oviposit, 1 = did oviposit)<br> eggs - number of eggs oviposited by experimental snails<br> length - shell length of experimental snails (mm)<br> PO_activity - phenoloxidase-like activity of haemolymph of experimental snails<br> antibacterial_activity - antibacterial activity of haemolymph of experimental snails</p>
H2020 OPERA Project: Mooring System Experimental data from MARMOK-A-5 Wave Energy Converter at BiMEP
<p>Funded under European Union's Horizon 2020 Programme, <a href="http://opera-h2020.eu/">OPERA</a> project’s main objective is to reduce the time to market of wave energy, by further advancing in 4 key innovations aiming to reduce up to 50% the Levelized Cost of Energy (LCOE) projections of a floating Oscillating Water Column (OWC) technology.</p> <p>As part of project activities, a condition monitoring system was deployed during the open-sea testing campaign of IDOM's MARMOK-A-5 wave energy converter, while this was deployed in the Biscay Marine Energy Platform (BiMEP) from October 2016 to June 2019.</p> <p>The dataset herein contains a collection of experimental results obtained during this extensive testing campaign, The campaign covers two deployment periods, where the first testing period includes polyesther tethers and the second testing campaing includes innovative elastomeric tethers as described in more detail in the project documentation. This experimental dataset aims to provide quantitative comparison data of the dynamic behavior of the system under these two different configurations.</p>
Raw data for "Coupled ptychography and tomography algorithm improves reconstruction of experimental data"
<p>Raw data used in "<a href="https://www.osapublishing.org/optica/abstract.cfm?uri=optica-6-10-1282"><em>Coupled ptychography and tomography algorithm improves reconstruction of experimental data</em></a>" by M. Kahnt, J. Becher, D. Brückner, Y. Fam, T. Sheppard, T. Weissenberger, F. Wittwer, J.-D. Grunwaldt, W. Schwieger and C.G. Schroer</p>
Research data supporting for "Characterization of recovery onset by subgrain and grain boundary migration in experimentally deformed polycrystalline olivine"
<p>Abstract: To apprehend plate tectonics and the dynamics of the lithosphere–asthenosphere boundary, composed principally of olivine, we need to understand the mechanisms that control plastic deformation of olivine in the relevant temperature domain. After more than 50 years of laboratory studies and investigations on natural rocks, the interplay of several key parameters (e.g. temperature, pressure, vacancy concentration, dislocation densities, grain size, strain rate) controlling polycrystalline olivine plasticity remains difficult to assess. Here, we study four olivine polycrystals, which have been deformed in axial compression under a confining pressure of 300MPa, at 1273 or 1473 K. Despite significant differences in mechanical properties (stress–strain curves), previous characterization by scanning (SEM) and transmission electron microscopy (TEM) did not reveal significant differences in dislocation microstructures which could explain these contrasted behaviours. We have undertaken automatic crystallographic orientation mapping (ACOM) analyses in TEM to increase the spatial resolution of characterization compared to previously obtained electron backscatter diffraction maps to further decipher the microstructures at nanoscale. With this novel technique applied to olivine, a noticeable difference in the onset of microstructural recovery has been identified between specimens deformed at 1273 and 1473 K. The microstructures of the olivine polycrystals deformed at 1473K exhibit numerous curved grain and subgrain boundaries, advocating for recovery by boundary migration. In contrast, the microstructures of the olivine polycrystals deformed at 1273K have significantly fewer subgrain boundaries and show more straight boundaries (i.e. closer to an equilibrium microstructure) than in the specimen deformed at 1473 K. Characterization by ACOM-TEM has permitted the identification of the onset of recovery, which is led by boundary migration even for very low macroscopic finite strains.</p> <p> </p>
Data for "Experimental investigation into the volatilities of highly oxygenated organic molecules (HOM)"
<p>The data used in the preparation of the manuscript "Experimental investigation into the volatilities of highly oxygenated organic molecules (HOM)". The data consists of the data in each of the figures, as well as the time series for measured ozone, alpha-pinene, NOx, NO, condensation sink, temperature, relative humidity, aerosol mass concentration for organics, sulfate and ammonium, as well as the high resolution fitted compounds and unit mass resolution sticks from the CI-APi-TOF.</p>
Raw data for Machine learning approach for photocatalysis: An experimentally validated case study of photocatalytic dye degradation
<p>Specification of affiliations:</p> <ul> <li>Hassan Ali - Centre of Polymer Systems</li> <li>Muhammad Yasir - Centre of Polymer Systems</li> <li>Hamza Ul Haq - Laboratory of Alternative Fuel and Sustainability, School of Chemical and Materials Engineering,</li> <li>Ali Can Guler - Centre of Polymer Systems</li> <li>Milan Masar - Centre of Polymer Systems</li> <li>Muhammad Nouman Aslam Khan - Laboratory of Alternative Fuel and Sustainability, School of Chemical and Materials Engineering,</li> <li>Michal Machovsky - Centre of Polymer Systems</li> <li>Vladimir Sedlarik - Centre of Polymer Systems</li> <li>Ivo Kuritka - Centre of Polymer Systems</li> </ul> <p> </p> <p>Raw data for the research paper. Information on the data collection are described in the manuscript. </p>
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.