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10,119 results for “IT Support”
The medial temporal lobe supports mnemonic discrimination for event duration
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Supporting data for "In situ Quantitative Tensile Tests on Antigorite in a Transmission Electron Microscope"
<p>Abstract: The determination of the mechanical properties of serpentinites is essential towards the understanding of the mechanics of faulting and subduction. Here, we present the first in situ tensile tests on antigorite in a transmission electron microscope. A push-to-pull deformation device is used to perform quantitative tensile tests, during which force and displacement are measured, while the microstructure is imaged with the microscope. The experiments have been performed at room temperature on beams prepared by focused ion beam. The specimens are not single crystals despite their small sizes. Orientation mapping indicated that some grains were well-oriented for plastic slip. However, no dislocation activity has been observed even though engineering tensile stress went up to 700 MPa. We show also that antigorite does not exhibit an pure elastic-brittle behaviour since, despite the presence of defects, the specimens underwent plastic deformation and did not fail within the elastic regime. Instead, we observe that strain localizes at grain boundaries. All observations concur to show that under our experimental conditions, grain boundary sliding is the dominant deformation mechanism. This study sheds a new light on the mechanical properties of antigorite and calls for further studies on the structure and properties of grain boundaries in antigorite and more generally in phyllosilicates.</p>
Genome assemblies of four MDR B. fragilis isolates using PacBio data - supporting the PhD Thesis
<p>Unicycler and Canu assemblies using PacBio data of four MDR B. fragilis isolates.</p> <p>Data supporting the PhD Thesis <em>Epidemiology and Genomics of antimicrobial resistance in the Bacteroides fragilis group </em>by Thomas Vognbjerg Sydenham, The research unit of Clinical Microbiology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark September 2019.</p> <p> </p>
Figure 1. OER faculty support for academic libraries
<p>The deriving out of the answers given to questions about the extent to which Academic Libraries have supported and guided them to a. OER adoption/use, b. OER creation and c. OER intellectual property (copyright), it is revealed that the faculty of the research sample does not consider academic libraries much supportive of them in any of these three areas [1]. More precisely, only 22% of the survey’ s participants believe that academic libraries have guided them on OER intellectual property (copyright), another 26% consider that academic libraries have supported them in the OER creation, and less than one in three (30%) are of the opinion that the academic libraries have contributed to their OER adoption/use (see figure 1). </p>
Supporting data for "Influence of an ionic comonomer on polymerization-induced self-assembly of diblock copolymers in non-polar media" (Polymer Chemistry, 2020, doi:10.1039/D0PY00101E)
<p>SAXS data [Q / (1/Å), I(Q) / Arb. unit, Uncertainty I(Q) / Arb. unit] provided as *.txt files</p> <p>DLS histograms [Diameter / nm, Proportion / %] provided as *.csv files</p>
DNA inoculation project supporting files
<p>This archive contains the metagnome co-assembly of all samples and the co-assembly of the</p>
Indo-Aryan – a house divided? Evidence for the East-West Indo-Aryan divide and its significance for the study of northern South Asia - Supporting materials
<p>The dataset includes raw data and images and plots used for the paper ``Indo-Aryan – a house divided? Evidence for the East-West Indo-Aryan divide and its significance for the study of northern South Asia'' (Ivani et al., in press)</p>
Supporting data for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences"
<p>Datasets, analysis scripts and simulations for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences".</p> <p>For more information and instructions, see READ ME.txt.</p> <p>For questions, contact Jelmer Boter (j.m.boter@tudelft.nl) or Lieven Vandersypen (l.m.k.vandersypen@tudelft.nl).</p>
Network analysis reflects the trophic relationship between microbial colonizers and deadwood resources - supporting information
<p>Supporting tables S2 - S5 of "Network analysis reflects the trophic relationship between microbial colonizers and deadwood resources".</p> <p>The file Table_Legends_S2-S5.txt contains all legends, as given below:</p> <p>Table S2: Module-associated trees and OTUs, their relative abundances and identities for the fungal sapwood network; module – name of the module, present – proportion of network version that the OTU is present in (1 = 1000/1000), inBestModule – proportion of the network versions where the OTU is associated with the respective module, percInBestModule – proportion of the network versions where the OTU is associated with the respective module provided that the OTU is part of the network (= inBestModule/present), meanAbundanceModuleSamples – mean relative abundance of the OTU in all samples belonging to the module, meanAbundanceOtherSamples – mean relative abundance of the OTU in all other samples, relAbundanceModuleSamplesVsOthers – meanAbundanceModuleSamples / meanAbundanceOtherSamples .</p> <p>Table S3: Module-associated trees and OTUs, their relative abundances and identities for the fungal heartwood network; module – name of the module, present – proportion of network version that the OTU is present in (1 = 1000/1000), inBestModule – proportion of the network versions where the OTU is associated with the respective module, percInBestModule – proportion of the network versions where the OTU is associated with the respective module provided that the OTU is part of the network (= inBestModule/present), meanAbundanceModuleSamples – mean relative abundance of the OTU in all samples belonging to the module, meanAbundanceOtherSamples – mean relative abundance of the OTU in all other samples, relAbundanceModuleSamplesVsOthers – meanAbundanceModuleSamples / meanAbundanceOtherSamples .</p> <p>Table S4: Module-associated trees and OTUs, their relative abundances and identities for the prokaryotic sapwood network; module – name of the module, present – proportion of network version that the OTU is present in (1 = 1000/1000), inBestModule – proportion of the network versions where the OTU is associated with the respective module, percInBestModule – proportion of the network versions where the OTU is associated with the respective module provided that the OTU is part of the network (= inBestModule/present), meanAbundanceModuleSamples – mean relative abundance of the OTU in all samples belonging to the module, meanAbundanceOtherSamples – mean relative abundance of the OTU in all other samples, relAbundanceModuleSamplesVsOthers – meanAbundanceModuleSamples / meanAbundanceOtherSamples .</p> <p>Table S5: Module-associated trees and OTUs, their relative abundances and identities for the prokaryotic heartwood network; module – name of the module, present – proportion of network version that the OTU is present in (1 = 1000/1000), inBestModule – proportion of the network versions where the OTU is associated with the respective module, percInBestModule – proportion of the network versions where the OTU is associated with the respective module provided that the OTU is part of the network (= inBestModule/present), meanAbundanceModuleSamples – mean relative abundance of the OTU in all samples belonging to the module, meanAbundanceOtherSamples – mean relative abundance of the OTU in all other samples, relAbundanceModuleSamplesVsOthers – meanAbundanceModuleSamples / meanAbundanceOtherSamples .</p>
Summary statistics data for "Genetic Analyses Support the Contribution of mRNA N6-methyladenosine (m6A) Modification to Human Diseases Heritability"
<p>We included the summary statistics data associated with our manuscript "<strong>Genetic Analyses Support the Contribution of mRNA <em>N</em><sup>6</sup>-methyladenosine (m<sup>6</sup>A) Modification to Human Diseases Heritability". </strong></p> <p>We also included the newly imputed genotype data for the 60 YRI individuals involved in our study, the joint m<sup>6</sup>A peaks tested (locations of the molecular phetnotype in BED12 format) and normalized log odds ratio (enrichment) of these joint peaks (molecular phenotype data). </p>
Research data supporting for Stress-induced amorphization triggers deformation in the lithospheric mantle
<p>Original TEM micrographs used to prepare the figures of the article</p>
CT, XRF, MSCL data and reconstructions in support of Reilly et al., (2019) Holocene break-up and reestablishment of the Petermann Ice Tongue, Northwest Greenland
<p>Data sets include X-Ray Fluorescence (XRF), Computed Tomography (CT), and Multi-Sensor Core Logger (MSCL) data for cores collected from Petermann Fjord during the PETERMANN15 expedition of the Swedish Icebreaker Oden. Also, included are Fjord Ice-Rafted Debris (IRD) stacks and reconstructed Petermann Ice Tongue extents.</p> <p> </p> <p>XRF data includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 10PC, 40TC, 40PC.</p> <p>CT number data and CT derived IRD counts includes data for OD1507 cores, 02UW, 03UW, 03PC, 03TC, 04GC, 06PC, 08GC, 10PC, 40TC, 40PC.</p> <p>MSCL data includes data for OD1507 cores, 01UW, 02UW, 03UW, 01GC, 03PC, 03TC, 04GC, 06PC, 06TC, 08GC, 10PC, 10TC, 11GC, 12GC, 14GC, 37PC, 37TC, 40PC, 40TC, 41GC</p>
The Set Increment with Limited Views Encoding Ratio (SILVER) Method for Optimizing Radial Sampling of Dynamic MRI: Supporting Data
<p>This data was created to perform the first experiments with the SILVER method of optimizing radial MRI acquisition. The files are mainly .mat files containing the numerical data used to assess the SILVER method using MATLAB (Version R2018b). Instructions on how to use the data and how to reproduce the experiments are available on https://github.com/SophieSchau/SILVER</p>
Some Notable Records of Mayflies (Insecta: Ephemeroptera) from Big Rivers in Indiana: Supporting Data
<p>Significant records from July & August 2019 fieldwork on big rivers in Indiana, United States.</p>
Data and supplementary material in support of article "Can robots express facial emotions dominantly enough for use in dementia care?"
<p>Data and supplementary material in support of article "Vlachos, E. and Tan, Z. H. (2020). Can robots express facial emotions dominantly enough for use in dementia care?, <em>International Psychogeriatrics</em>, Cambridge University Press". </p> <p>Our objective is to evaluate the recognition, and denomination of the six basic emotional facial expressions as displayed by a social robot to persons with dementia, and to compare it with the results from the evaluation of static photographs of humans from the Paul Ekman database in order to investigate the differences in recognition rates among the two stimuli.</p>
Emotion and Diversity in Online Publics - Supporting Materials
<p>Supporting materials for the article "Counterpublic, Deliberative Sphere, Incubator, Battleground: Emotion and Diversity in Online Publics".</p> <p>"</p>
Supporting material for Shintergy sinchronized brain and gravitational influence over laser, weight scale and chronometers
<p>Supporting material for Shintergy sinchronized brain and gravitational influence over laser, weight scale and chronometers</p> <p> </p> <p>ResearchGate paper and project:</p> <p>https://www.researchgate.net/publication/343671561_Effects_of_a_Shintergy-sinchronized_brain_over_a_laser_beam_chronometers_and_a_scale_weight_a_Possible_Fractal_Structure_of_Consciousness</p>
Dataset for Supporting Information of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"
<p>This dataset includes all results presented in the "Supporting information" of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020<br> DOI: 10.5281/zenodo.4099806, DOI: <a href="https://doi.org/10.1002/admt.202000659">10.1002/admt.202000659</a><br> URL:<br> https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fadmt.202000659&file=admt202000659-sup-0001-SuppMat.pdf</p> <p>List of data in this dataset:<br> Fig.S1-Theoretical Analysis.xlsx<br> Fig.S5-LM Coils Folding-Exp and NA.xlsx<br> Fig.S6-CoilFoldingDataARC.xlsx<br> Fig.S7-Cyclic Bending-1000 cycles.xlsx<br> Fig.S8-Cyclic Folding of FPC and LM Coils.xlsx</p> <p>All the data included in this dataset were collected and processed by Dr. Hongbo Wang.</p> <p>Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com</p>
Supporting data and code for "Brown AW, Bohan Brown MM, Onken KL, Beitz DC. Short-term consumption of sucralose, a nonnutritive sweetener, is similar to water with regard to select markers of hunger signaling and short-term glucose homeostasis in women. Nutr Res. 2011 Dec;31(12):882-8. doi: 10.1016/j.nutres.2011.10.004. PMID: 22153513."
<p>Data and code to support the publication, Brown AW, Bohan Brown MM, Onken KL, Beitz DC. Short-term consumption of sucralose, a nonnutritive sweetener, is similar to water with regard to select markers of hunger signaling and short-term glucose homeostasis in women. Nutr Res. 2011 Dec;31(12):882-8. doi: 10.1016/j.nutres.2011.10.004. PMID: 22153513.</p> <ul> <li>Code was updated 2020 NOV 24 to add comments, but otherwise remains unchanged from 2011.</li> <li>Data file was updated to include a data dictionary, but otherwise remains unchanged from 2011.</li> </ul> <p>Treatment identifiers for the four-arm crossover are clarified in the SAS code.</p> <p>Other details are available in the published article.</p>
Datasets and Supporting Materials for the MALIN-ANR 2019 Competition (French national research agency)
<p>This "ZENODO deposit" provides a multiple sensor dataset collected by the CyborgLOC team during the intermediate competition of the Challenge MALIN (<em>MA</em><em>îtrise</em><em> de la </em><em>L</em><em>ocalisation </em><em>IN</em><em>door</em>), which is a competition for indoor/outdoor real-time positioning. The sensors, including a GNSS receiver Ublox NEO-M8N, a Realsense D435i stereo camera, three Xsens MTi-300 and one PERSY (<strong>PE</strong>destrian <strong>R</strong>eference <strong>SY</strong>stem), are mounted on different parts of the subject’s body. The PERSY is a foot-mounted positioning device with a tri-axial accelerometer, a tri-axial gyroscope, a tri-axial magnetometer as well as a GNSS receiver Ublox M8T. The two scenarios are designed in a training center of firefighters CFIS (Fire and Rescue Training Center) in Blois, France to simulate the situation of firefighters during interventions. With total distances around 2 km for each scenario, the travelled trajectories passed through challenging environments including indoor, outdoor, urban canyon. The indoor part contains different stair levels, from the underground up to the 6th floor. The travel modes are vehicles and pedestrians. Several classical activities of firefighters are realized such as walking, running, stair-climbing, side-walking, crawling, passing above/below obstacles, carrying a stretcher, ladder climbing, etc. High accurate ground truth of stationary points and enclosing volumes are provided by the organizers of the competition, i.e., the French Ministry of Defense (DGA: Direction Générale de l’Armement). Provided with raw data, they allow the evaluation of the positioning performances.</p> <p>To facilitate the use of our dataset under Rosbag format, a toolkit of python scripts named <em>MALIN Data Processing Tools</em> is provided on GitHub (<a href="https://github.com/4g-group/malin_data_processing_tools">https://github.com/4g-group/malin_data_processing_tools</a>). It allows merging Rosbags, converting Rosbag files to CSV files as well as republishing camera’s topics as decompressed data. Details about these processing tools could be found in the Readme file on the Github page. </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.