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10,554 results for “measure”
Database of measurements for damage detection of T-type steel structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure’s response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two steel beams connected at an angle of 90⁰. Presented data related to five different states of joints, seven load levels, two placements of used electrodynamic actuators and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the “<strong>Read_me_first.pdf</strong>” is described the experiment, the format of .csv files names and files’ structure.</p>
Predicting school uptake of The Daily Mile in Northern Ireland- a data linkage study with School Census Data and Multiple Deprivation Measures
<p>The datasets for the research into the uptake of The Daily Mile in Northern Ireland- a data linkage study with School Census Data and Multiple Deprivation Measures. Questionnaires completed between 31st August 2022 and 16th December 2022. </p>
Corresponding Dataset for "Measurements of Europa's Ionosphere from Juno's close flyby"
<p> Corresponding Dataset for "Radio Occultation Measurements of Europa's </p><p> Ionosphere from Juno's close flyby"<br> Marzia Parisi<br> September 29, 2023<br> Jet Propulsion Laboratory<br> California Institute of Technology</p><p>=============================================================================<br>INTRODUCTION<br>=============================================================================</p><p> This dataset contains processed radio science data and results of the<br>Juno Europa radio occultation. This dataset is provided in order to <br>supplement the submitted article to the "Geophysical Research Letters"<br>journal:</p><p> Parisi, M. et al. (2023 or 2024), Measurements of Europa's Ionosphere from Juno's close flyby, Geophysical Research <br> Letters, submitted September 2023.</p><p>Please note the raw data used in this analysis are not provided in this<br>supplementary dataset. The raw Juno Gravity Science Data may be found at <br>the Planetary Data System:</p><p> </p><p> Buccino, D. R. (2016). Juno jupiter gravity science raw data set <br> V1.0, JUNO-J-RSS-1 JUGR-V1.0, NASA planetary data system (PDS). <br> Retrieved from https://atmos.nmsu.edu/PDS/data/jnogrv_1001/<br> </p><p>=============================================================================<br>ARCHIVE INFORMATION<br>=============================================================================</p><p> This archive contains two files within the root directory.<br> <br> - JunoE45OccData_Ingress_v1.csv</p><p> This data file contains the INGRESS data relevant to the radio<br> occultation. The data is a timeseries of impact parameter, </p><p> the uncalibrated frequency residuals, the calibrated frequency residuals, </p><p> Total Electron Content, Electron density, 1-sigma electron density uncertainty (thermal only) </p><p> and 1-sigma electron density uncertainty (thermal+trajectory).</p><p> </p><p> - JunoE45OccData_Egress_v1.csv</p><p> This data file contains the EGRESS data relevant to the radio<br> occultation. The data is a timeseries of impact parameter, </p><p> the uncalibrated frequency residuals, the calibrated frequency residuals, </p><p> Total Electron Content, Electron density, 1-sigma electron density uncertainty (thermal only) </p><p> and 1-sigma electron density uncertainty (thermal+trajectory).</p><p> </p><p>=============================================================================<br>FILE FORMAT<br>=============================================================================</p><p> This dataset contains only a comma-separated text files which are<br>given with the "*.csv" extension.</p><p><br> CSV FILES<br> -------------------------------------------------------------------------</p><p> The Comma-Separated Value (CSV) files are plain-text files. Values in<br> each data file are separated using a comma ",". Each column is defined <br> by a header row which provides a description of each column.<br> </p><p>=============================================================================<br>ACKNOWLEDGMENTS<br>=============================================================================</p><p>This work was carried out at the Jet Propulsion Laboratory, <br>California Institute of Technology, under contract with the National <br>Aeronautics and Space Administration. Government sponsorship acknowledged.</p><p>AC, EG, LGC, PT and MZ are grateful to the Italian Space Agency for financial support through</p><p>Agreement No. 2018-25-HH.0 in the context of ESA's JUICE mission, and Agreement</p><p>No. 2017-40-H.1-2020, and its extension 2017-40-H.02020-13-HH.0, for ESA's BepiColombo</p><p>and NASA's Juno radio science experiments. EG is grateful to "Fondazione Cassa dei</p><p>Risparmi di Forl`ı" for financial support of his PhD fellowship. PS was supported by NASA</p><p>Contract NNM06AA75C from the Marshall Space Flight Center under subcontract 699054X</p><p>from Southwest Research Institute. </p><p><br>=============================================================================<br>PRIMARY POINT OF CONTACT<br>=============================================================================</p><p>Marzia Parisi </p><p>Jet Propulsion Laboratory<br>Planetary Radar and Radio Sciences<br>(818) 354 - 0463 </p><p>marzia.parisi@jpl.nasa.gov</p><p>=============================================================================<br>ACRONYMS AND ABBREVIATIONS<br>=============================================================================</p><p> ASCII American Standard Code for Information Interchange<br> DOY Day of year<br> DSN Deep Space Network<br> JPL Jet Propulsion Laboratory<br> NAIF Navigation Ancillary Information Facility<br> NASA National Aeronautics and Space Administration<br> PDS Planetary Data System<br> RS Radio Science<br> RSS Radio Science Subsystem<br> SIS Software Interface Specification<br> TXT Text file<br> UTC Universal Time, Coordinated</p>
Smartphone and smartwatch inertial measurements from heterogeneous subjects for human activity recognition.
<p>This repository contains the dataset and contents described in the <i><strong>"Dataset of inertial measurements of smartphones and smartwatches for human activity recognition"</strong></i> data article.</p><blockquote><p>Matey-Sanz, M., Casteleyn, S., & Granell, C. (2023). Dataset of inertial measurements of smartphones and smartwatches for human activity recognition. <i>Data in Brief</i>, 109809.</p></blockquote>
Functional trait measurements of wheat
<p class="MsoNormal">Crop domestication has led to the development of distinct trait syndromes, a series of constrained plant trait trade-offs to maximize yield in high-input agricultural environments, and potentially constrained trait plasticity. Yet, with the ongoing transition to organic and diversified agroecosystems, which create more heterogeneous nutrient availability, this constrained plasticity, especially in root functional traits, may be undesirable for nutrient acquisition. <span>Such agricultural systems require a nuanced understanding of the soil-crop continuum under organic amendments and with intercropping, and the role crop genetic resources play in governing nutrient management and design. In this study, we use a functional traits lens to </span>determine if crops with a range of domestication histories express different functional trait plasticity and how this expression changes with soil amendments and intercropping. We utilize a common garden experiment including five wheat <span>(</span><em>Triticum aestivum</em>) varietals with a range of domestication histories planted in a factorial combination with amendment type (organic and inorganic) and cropping design (monoculture or intercropped with soybean). We use bivariate, multivariate and trait space analyses to quantify trait variation and plasticity in five leaf and five root functional traits. Almost all leaf and root traits varied among varieties. Yet, amendment type was nearly inconsequential for explaining trait expression across varieties. However, intercropping was linked to significant differences in root acquisitive strategies, regardless of the varietals' distinct history. Our findings show substantial leaf and root <span>trait plasticity, with roots expressing greater trait space occupation with domestication, but also the strong role of management in crop trait expression. We</span> underscore the utility of a functional trait-based approach <span>to understand plant-soil dynamics with organic amendments, as well as the role of crop genetic histories in the successful transition to low-input and diversified agroecosystems.</span></p>
3D-Imaging and Quantitative Subsurface Dielectric Constant Measurement Using Peak Force Kelvin Probe Force Microscopy
<p>We demonstrate a new approach to simultaneously measure the dielectric constants of buried structures and interfaces by combining peak force tapping quantitative Nano-mechanical mapping (PF QNM) and frequency-modulated Kelvin probe force microscopy (FM-KPFM). The developed method paves the way for 3D-imaging of dielectric constants of composite materials and heterostructures.</p>
Extracted Information for the Systematic Review of Survey Scales for Measuring Information Privacy Concerns on Social Network Sites
<p>The data set is part of a systematic literature review of survey scales for measuring information privacy concerns (IPCs) used in research on social network sites (SNSs).</p> <p>The results of this systematic literature review are available in Bartol, J., Vehovar, V., & Petrovčič, A. (2023). Systematic review of survey scales measuring information privacy concerns on social network sites. <em>Telematics and Informatics</em>, 102063. https://doi.org/10.1016/j.tele.2023.102063</p> <p>The article also includes a detailed description of the methods used in generating this data set.</p>
Measurement Report: Exchange Fluxes of HONO over Agricultural Fields in the North China Plain
<p>Raw data for Song et al. submitted to ACP.</p>
Data sets of measured cross-sectional area coordinates and material properties of an old Vindeby blade
<p>Measured raw data for determining cross-sectional area coordinates of an old Vindeby blade. Material properties are also appended.</p>
V2X measurement on M0 motorway with 4 vehicles
<p>V2X data collection under real world conditions.</p><p><strong>Applicability of this dataset</strong>:</p><ul><li>V2X traffic analysis (for research and application development purposes)</li><li>Comparison of unsecured and PKI-authenticated 802.11p-based V2X communication (ITS-G5)</li></ul><p><strong>Location</strong>: Hungary, Budapest + M0 motorway (ringroad around Budapest)</p><p><strong>Date</strong>: 19th May 2023</p><p><strong>Test participants</strong>:</p><ul><li><a href="https://www.bme.hu/?language=en">Budapest University of Technology and Economics</a><ul><li><a href="https://transportation.bme.hu/">Faculty of Transportation Engineering and Vehicle Engineering</a><ul><li><a href="https://www.auto.bme.hu/">Department of Automotive Technologies</a> - <a href="https://www.automateddrive.bme.hu/">BME Automated Drive Lab</a></li><li><a href="http://www.kjit.bme.hu/index.php/en/">Department of Control for Transportation and Vehicle Systems</a> - <a href="https://traffic.bme.hu/">BME Traffic Lab</a></li></ul></li><li><a href="https://www.vik.bme.hu/en/">Faculty of Electrical Engineering and Informatics</a><ul><li><a href="https://www.tmit.bme.hu/?language=en">Department Of Telecommunications and Media Informatics</a></li></ul></li></ul></li><li><a href="https://www.microsec.hu/en">Microsec Ltd. (PKI provider)</a></li></ul><p><strong>Communication hardware</strong>: 4x <a href="https://www.cohdawireless.com/solutions/hardware/mk5-obu/">Cohda Wireless MK5 OBUs</a> (2 vehicles with PKI-on, 2 vehicles with PKI-off) with default settings</p><p><strong>V2X stack</strong> : Cohda Wireless ETSI stack (Physical layer: ITS-G5)</p><p><strong>Security stack</strong>: <a href="https://www.microsec.hu/en/v2x-pki">Microsec V2X PKI</a></p><p><strong>Weather and road conditions</strong>: Clear and sunny weather, dry road</p><p><strong>The datasets includes information on</strong>:</p><ul><li>Decoded received and transmitted V2X messages (secured and not secured GeoNetworking packets)<ul><li><strong>Rx.json</strong> – includes all received V2X messages by that specific host vehicle (CAM, DENM) also including RSU messages (CAM, DENM, MAPEM, SPaTEM, IVIM)</li><li><strong>Tx.json</strong> – includes all transmitted V2X awareness messages by that specific host vehicle (CAM, DENM)</li></ul></li><li><strong>Protocol stack</strong> (encapsulated in messages)<ul><li>PHY layer (ITS-G5 parameters): channel number (CCH/SCH), MCS, Rx power, Rx noise</li><li>MAC layer: Ethernet header</li><li>Network layer: GeoNetworking header</li><li>Transport layer: Basic Transport Protocol (BTP)</li><li>Facilities layer: ETSI ITS (e.g. CAM, DENM etc.)</li></ul></li></ul><p><strong>Measurement sections</strong>:</p><ul><li>Section 1 (Budapest -> M0)</li><li>Section 2 (M0 motorway ring)</li><li>Section 3 (M0 -> Budapest)</li></ul>
Dataset: Magnetic and electric antennas synergy for partial discharge measurements in gas-insulated substations: Power flow and reflection suppression
<p>Data set for the publication named: Magnetic and electric antennas synergy for partial discharge measurements in gas-insulated substations: Power flow and reflection suppression. Each header corresponds to the figure and legend.</p>
Dataset of experiment measurements of plastic particle settling induced by clay. and surfactants
<p>Dataset giving experiment input parameters (clay type, surfactant, densities, added mass, etc), measured mass of particles at the surface and bottom, and calculated percent of total mass recovered with breakdown into percent of input plastic mass associated with floating and settled partlcles.</p>
Dataset for Effects of coaxial cables on high-voltage lightning impulse measured parameters: A comparative between measurements and simulations
<p>Dataset for publication named: "Effects of coaxial cables on high-voltage lightning impulse measured parameters: A comparative between measurements and simulations".</p>
Stability Measurement of a 340 nm UV Source at the Optical Laboratory of BFKH.
<p>Dataset archive of the stability Measurement of a 340 nm UV Source at the Optical Laboratory of BFKH.</p><p>The project 19ENV02 RemoteALPHA has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. - https://remotealpha.drmr.nipne.ro/</p>
Data for "Nishimori's cat: stable long-range entanglement from finite-depth unitaries and weak measurements"
Open the record for dataset details and reuse information.
From cameras to confocal to cytometry: measuring tumbling rates is a general way to reveal protein binding - Raw Data
<p>Molecular interactions are central to understanding any biological system, but they are labor-intensive to measure with existing optical approaches. Tracking "tumbling" (rotational diffusion) is a generalizable strategy for determining particle size, from which the presence and size of binding partners in a complex can be inferred. However, fluorescence-based tumbling measurements have historically been limited to small targets (<30 kDa) due to the short (nanosecond) lifetime of typical fluorophores. This size limit leaves most of the proteome inaccessible, severely limiting the usefulness of the approach. To reveal larger complexes and realize the full potential of optical tumbling measurements, several groups have explored longer-lived states, such as <a href="https://doi.org/10.1016/S0006-3495(88)83137-0">photobleached molecules</a>, <a href="https://doi.org/10.1038/s41587-022-01489-7">reversibly photoswitched proteins</a>, or <a href="https://doi.org/10.1021/acs.jpcb.3c01236">triggerable triplets</a>. Here, we describe four combinations of photophysics and hardware for measuring tumbling with longer-lived states, gearing each toward a candidate biological use case. We explore these four measurement schemes with simulations and, in one case, experimentally validate the approach. Our work suggests that, with minor reconfiguring, most fluorescence approaches to detect the presence of proteins could also reveal their binding state.</p><p>This repository holds the raw data for the main text figures. For the contents of the paper, please see: <a href="https://doi.org/10.5281/zenodo.10028433">doi.org/10.5281/zenodo.10028432</a></p>
Model version, input data, results, and processing scripts for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways"
<p>Includes the files needed to run the scenarios, analyze the outputs, and produce the figures for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways." </p>
Measuring Volume Using a 3D Scanner and iPad to Grade the Swelling of Legs
ClinicalTrials.gov study NCT06944041. IPD Sharing: NO. Countries: 1. Publications: 4.
Working to Implement and Sustain Digital Outcome Measures
ClinicalTrials.gov study NCT04096274. IPD Sharing: NO. Countries: 1. Publications: 4.
The Study is Enrolling Kids From 8 to 17 Years Old. The BreathSmart Device Attaches to the Inhaler to Measure Adherence.
ClinicalTrials.gov study NCT03734861. IPD Sharing: NO. Countries: 1. Publications: 2.
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.