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10,554 results for “measurements”
Data for "The effect of pattern overlap on the accuracy of high resolution electron backscatter diffraction measurements"
<p>Data for "The effect of pattern overlap on the accuracy of high resolution electron backscatter diffraction measurements"</p> <p>Vivian Tong1, Jun Jiang1, Angus J Wilkinson2, and T Ben Britton1<br /> 1. Department of Materials, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK<br /> 2. Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK</p> <p>For more information please contact: b.britton@imperial.ac.uk (Ben Britton)</p> <p>--<br /> The zip contains three subfolders:<br /> Fig4 Interaction volume measurement<br /> Fig14 Error approaching gb<br /> Fig16 GrainBoundaryProbability</p> <p>--<br /> Further details:</p> <p>Fig4 Interaction volume measurement -</p> <p>Measurement and simulation data of EBSD inteaction volume</p> <p>Includes calculated model & EBSD patterns for measurement<br /> EBSD patterns are from Zircaloy-4 and scanned on a Bruker eFlashHR camera in high resolution mode (1600 x 1200) attached to a Zeiss Auriga-40 SEM. The sample was tilted to 70 degrees and the SEM image shows the tilt corrected scanned region.</p> <p><br /> Fig14 Error approaching gb -<br /> 15 patterns are included that were used to create many simulated grain boundary pairs. These were captured from the same sample as used in Fig4.<br /> The spreadsheet details results shown in Fig 4.</p> <p><br /> Fig 16 GrainBoundary Pobability -<br /> This describes results from the simple Voronoi tessalation model (virtual grain structure) and sampling with a fixed step size, similar to a real EBSD scan. Probabilities were calcualted for different interaction volume sizes and critical distances.</p> <p> </p>
Measurement of Beta and Gamma Peripapillary Atrophy with Spectral Domain Optical Coherence Tomography
<p>Brief demonstration of the method used to measure beta and gamma peripapillary atrophy.</p>
VELOCITY VECTOR FIELDS, MEASURED AT THE OUTFLOW FROM TWO HINGE MODELS OF A BILEAFLET MECHANICAL HEART VALVE, USING 2-COMPONENT PARTICLE IMAGE VELOCIMETRY TECHNIQUE
<p>VELOCITY VECTOR FIELDS, MEASURED AT THE OUTFLOW FROM TWO HINGE MODELS OF A BILEAFLET MECHANICAL HEART VALVE, USING 2-COMPONENT PARTICLE IMAGE VELOCIMETRY TECHNIQUE</p>
Registration of multi-view echocardiography sequences using a subspace similarity measure
<p>Data employed for the validation of the PCA-based similarity metric proposed in "<em>Registration of multi-view echocardiography sequences using a subspace similarity measure.</em>" Peressutti <em>et al.</em> (under review).</p> <p>Data consists of echocardiography sequences of the Left ventricle of four volunteers (vol_A-vol_D) from different acoustic windows (aw_1-aw_5). The image format is metadata.<br /> For each subject, the ground-truth rigid transformations that aligns each sequence to all the others is provided. Such transformations are provided by optically tracking the position of the ultrasound imaging probe. </p> <p>For more detailed information regarding the datasets, please refer to the paper.</p> <p>Python code for testing the proposed method can be downloaded from (https://github.com/devisperessutti/Python.git), while MATLAB code can be downloaded from (https://github.com/gomezalberto/Matlab.git).</p>
HR-EBSD Measurements near Twins in Zicaloy-2
<p>HR-EBSD measurements made on a Zircaloy-2 sample deformed to 2.7% in tension to generate multiple deformation twins. <br /> HR-EBSD measurements were made using A Bruker HReFlash detector mounted on a Zeiss Merlin SEM. Sample preparation used Ar ion beam milling on a Gatan PECS II system as a final step. <br /> The strain, stress and dislocation density variations available here were then calculated using in-house Matlab code (XEBSD). The work and further analysis of the results is described in</p> <p><em>Assessment of residual stress fields at deformation twin tips and the surrounding environments</em>, Abdolvand & Wilkinson, Acta Materialia (2016)<br /> dx.doi.org/10.1016/j.actamat.2015.11.036</p> <p> </p> <p> </p> <p>The analysis methods implement in XEBSD are described in the following publications:</p> <p>High resolution electron backscatter diffraction measurements of elastic strain variations in the presence of larger lattice rotations <br /> TB Britton and AJ Wilkinson <br /> Ultramicroscopy, (2012), vol. 114, 82-95 <br /> doi:10.1016/j.ultramic.2012.01.004</p> <p>Measurement of residual elastic strain and lattice rotations with high resolution electron backscatter diffraction <br /> TB Britton and AJ Wilkinson <br /> Ultramicroscopy, (2011) vol. 111, 1395-1404 <br /> doi:10.1016/j.ultramic.2011.05.007</p> <p>Determination of elastic strain fields and geometrically necessary dislocation distributions near nanoindents using electron back scatter diffraction <br /> AJ Wilkinson and D Randman <br /> Philosophical Magazine, (2010), vol. 90, 1159-1177 <br /> doi:10.1080/14786430903304145</p> <p>Crystal Plasticity Analysis of Micro-Deformation, Lattice Rotation and Geometrically Necessary Dislocation Density <br /> FPE Dunne, R Kiwanuka, AJ Wilkinson <br /> Proc. Royal Society A, (2012), vol. 468, 2509-2531 <br /> doi:10.1098/rspa.2012.0050</p>
Supplementary files for: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.
<p>Supplementary files for Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.</p> <p>Files: i) shapefile of longitudinal subglacial bedform dataset; ii) spreadsheet with signed error distributions.</p> <p> </p>
Data from: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. Submitted to PLOS ONE, July 2015
<p>Georeferenced (EPSG 32610) vector file (shapefile format) containing the longitudinal subglacial bedform footprint dataset used in the study.<br /> </p>
Measurements of multicore contention
<p>The .xls spreadsheet includes the measurements of multicore contention as processed data referring to the publication "Increasing confidence on measurement-based contention bounds for real-time round-robin buses".</p>
Raw Measurements for Low Delay Video Streaming on the Internet of Things Using Raspberry Pi
<p>Raw measurements for article "Low Delay Video Streaming on the Internet of Things<br /> Using Raspberry Pi"</p>
Measurements of multicore slowdown
<p>The .xls spreadsheet includes the measurements of multicore slowdown as described in the paper "Resource usage templates and signatures for COTS multicore processors".</p>
Irradiance measurements, satellite images, and clear-sky expectations for Spring 2014 in Tucson, AZ.
<p>This dataset contains the metadata and measurements from a number of irradiance sensors and rooftop solar power systems in addition to clear-sky expectations for those sensors. Irradiance derived from images from the GOES-W satellite are also included. The dataset covers April, May, and June 2014 over the Tucson, AZ, area. The data is in a number of formats including CSV, plain text, HDF5, and netCDF4. </p> <p> </p> <p>See the following for a description of the NREL calibrated GHI sensor:</p> <p>Andreas, A.; Wilcox, S.; (2010). Observed Atmospheric and Solar Information System (OASIS); Tucson, Arizona (Data); NREL Report No. DA-5500-56494. http://dx.doi.org/10.5439/1052226</p> <p> </p> <p>More information about the custom irradiance and rooftop PV sensors can be found in:</p> <p>A. T. Lorenzo, W. F. Holmgren, M. Leuthold, C. K. Kim, A. D. Cronin, and E. A. Betterton, “Short-term PV power forecasts based on a real-time irradiance monitoring network,” in <em>2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)</em>, 2014, pp. 0075–0079.</p>
Measured scattering parameters for the coupling of stochastic electromagnetic fields to transmission line networks of single-wire lines above a ground plane in a reverberation chamber
<p>This data set contains the measuremed scattering parameters between two antennas and a transmission line network under test in a reverberation chamber. The purpose of this measurement was an experimental validation of a numerical simulation model for the stochastic field coupling to a transmission line network. For the experiment, an exemplary network consisting of three single-wire lines above a ground plane was created. Different configurations of the network were tested and the average squared magnitude of the coupled voltage at the terminals of the network was analyzed and discussed.</p>
Demo measurement using DIAPASON and Sentinel-1 after the 14 November 2016 earthquake in New Zealand
<p>This is a test of the automated chain on the GEP.</p>
Dataset of KEMAR-BRIRs measured at several positions and head orientations in a real room
<p>Measurement of BRIRs at 25 positions (1-25) in a reverberant room for two sound sources (A,B). The dummy head is rotated by 360° counterclockwise in 5° steps, respectively, at every position. The measuring points are arranged at a distance of 0.5m in x and y axis, respectively. The sound sources are arranged at a distance of 1.0m from the measuring grid.</p> <p>A whole description of the measurement can be found in:<br> http://opac.lbs-ilmenau.gbv.de/DB=1/SET=1/TTL=2/SHW?FRST=1<br> or contact stephan.werner@tu-ilmenau.de</p> <p>Sketch of the measuring grid:</p> <p> A<br> |<br> |<br> 5 - 4 - 3 - 2 - 1<br> | | | | |<br> 10 - 9 - 8 - 7 - 6<br> | | | | |<br> B - -15 - 14 - 13 - 12 - 11<br> | | | | |<br> 20 - 19 - 18 - 17 - 16<br> | | | | |<br> 25 - 24 - 23 - 22 - 21</p>
Raw data sets for: A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components (AMT)
<p>Raw data sets for the research article "A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components", published in "Atmospheric Measurment Techniques" (AMT). Data sets include raw data sets for the field and laboratory study, as well as calculated CH4 fluxes (field).</p>
Figure 2. - Nesting architecture of Xylocopanasalis; Dissected nests of Xylocopanasalis revealing the nest structure inside the bamboo culm and its residents. Measurements of the nest parameters are shown in Table 1. The diameters of the nests (excluding the nest thickness) were measured at the nest entrance, followed by the vestibulum (antechamber) length, cell length, and the inner most cell length, respectively (2a). Cells containing larvae with pollen masses and their feces were collected and weighted (2b).
Figure 2. - Nesting architecture of Xylocopanasalis; Dissected nests of Xylocopanasalis revealing the nest structure inside the bamboo culm and its residents. Measurements of the nest parameters are shown in Table 1. The diameters of the nests (excluding the nest thickness) were measured at the nest entrance, followed by the vestibulum (antechamber) length, cell length, and the inner most cell length, respectively (2a). Cells containing larvae with pollen masses and their feces were collected and weighted (2b).
Dataset of the seismic noise measurements performed from 2009 to 2012 in Subequana Valley (central Italy)
<p>Use is free, provided the aforementioned reference is appropriately cited.<br> The dataset represents the seismic noise measurements performed in Subequana Valley (central Italy) and used in the publication “Gori, S., Falcucci, E., Ladina, C., Marzorati, S., and Galadini, F.: Active faulting, 3-D geological architecture and Plio-Quaternary structural evolution of extensional basins in the central Apennine chain, Italy, Solid Earth, 8, 319-337, doi:10.5194/se-8-319-2017, 2017”.<br> The measurements are archived in SAC format (http://ds.iris.edu/files/sac-manual/manual/file_format.html”).<br> Each SAC file contains information on the measurement parameters. Main header fields:<br> delta: sampling (s)<br> stla: measurement latitude (°N)<br> stlo: measurement longitude (°E)<br> stel: measurement elevation (m a.s.l.)<br> user0: sensor sensitivity (V/m/s)<br> user1: datalogger sensitivity (µV/count)<br> kstnm: measurement code<br> kevnm: experiment name<br> kuser0: gain<br> kuser1: unit of measure<br> kuser2: type of the sensor<br> kcmpnm: seismic channel<br> knetwk: network code of the experiment<br> kinst: type of the datalogger</p> <p>Description of files:<br> - CSVnoise_fromCV35_toCV87.zip: the archive of SAC files relative to noise measurements from CV35 to CV87<br> - CSVnoise_fromCV90_toC119.zip: the archive of SAC files relative to noise measurements from CV90 to C119<br> - CSVnoise_fromC120_toC218.zip: the archive of SAC files relative to noise measurements from C120 to C218</p>
The Kühtai data set: 25 years of lysimetric, and snow pillow and meteorological measurements
This dataset presents long-term observations from an experimental snow lysimeter plot in Kühtai (Austrian Alps). The data set includes 15 minutes data of snow water equivalent from a 10 m² snow pillow, snow melt outflow from a 10 m² snow lysimeter placed at the same location as the pillow, meteorological data (precipitation, incoming global radiation, reflected short wave radiation, air temperature, relative air humidity and wind speed), and other data (snow depths, snow temperatures at seven heights) from the period October, 1990 – May, 2015. All data have been quality checked, and gaps in the meteorological data have been filled in.
Resazurin-based time-kill assay in Acinetobacter baumannii AB074. Fluorescence measurement data for excitation 544 nm, emission 590 nm, gain 1000.
<p>There were 21 groups: 3 groups of transferrin alone in 3 different concentrations (1/3, 1, and 3 times of its MIC); 4 groups of antibiotics alone (ciprofloxacin and meropenem in 1/3 and 1 MIC concentration each), 6 combo groups for ciprofloxacin and 6 combo groups for meropenem, 1 group of positive control with bacteria but without any drug and 1 group of negative control without bacteria, with RPMI only. 20 µL of 0.1% aqueous resazurin solution was added to each well and the plate was incubated at 37°C without shaking for 24 hours. After incubation fluorescence was measured (excitation 544 nm, emission 590 nm) at 0h, 1h, 2h, 4h, 6h, 8h, and 24 hrs using the FLUOstar Omega plate reader (BMG LABTECH GmbH, Germany). Plate layouts may vary.</p> <p>For more information contact author.</p>
Development of low-cost instrumentation for single point autofluorescence lifetime measurements
<p>Dataset used for analysis in the paper. ABSTRACT: Autofluorescence lifetime measurements, which can provide label-free readouts in biological tissues, contrasting e.g. different types and states of tissue matrix components and different cellular metabolites, may have significant clinical potential for diagnosis and to provide surgical guidance. However, the cost of the instrumentation typically used currently presents a barrier to wider implementation. We describe a low-cost single point time-resolved autofluorescence instrument, exploiting modulated laser diodes for excitation and FPGA-based circuitry for detection, together with a custom constant fraction discriminator. Its temporal accuracy is compared against a “gold-standard” instrument incorporating commercial TCSPC circuitry by resolving the fluorescence decays of reference fluorophores presenting single and double exponential decay profiles. To illustrate the potential to read out intrinsic contrast in tissue, we present preliminary measurements of autofluorescence lifetime measurements of biological tissues <em>ex vivo.</em> We believe that the lower cost of this instrument could enhance the potential of autofluorescence lifetime metrology for clinical deployment and commercial development.</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.