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10,553 results for “measurements”
Examining the Effects of Resolution Bandwidth when Measuring Compound Radar Waveforms Data
<p>Data used by NTIA/ITS TR-23-566 Examining the Effects of Resolution Bandwidth when Measuring Compound Radar Waveforms.</p>
Measurements of type 3 non-uniqueness between 660 °C and 960 °C for 18SIB02 EMPIR project "Real-K"
<p>Dataset coming from type 3 non uniqueness investigation at INRiM, for project Real-K.</p> <p>The dataset has been collected by 5 test HT-SPRTs, inserted into a sodium heat pipe, calibrated at the fixed points of water, tin, zinc, silver and aluminium. The measurements have been performed at 760, 780, 800, 820, 840 and 860 °C.</p> <p>RPTW_Polito.xlsx are measurements taken on 6 probes at the triple point of water. </p> <p>MAP-HP-SODIO.txt contains measurements performed with 2 reference sensors in order to evaluate the uniformity among the HP wells.</p> <p>note-durante.xlsx contains notes taken during the "MAP-HP-SODIO" measurements</p> <p>760-SODI-2.txt contains the actual measurements of the 5 probes + 1 control probe (in channel 4).</p> <p>calibrations_2023.xlsx contains the calibration measurements and calculations of the test HT-SPRTs</p> <p> </p>
Soil temperature measurements at Gobabeb in December 2017
<p>Dataset containing the measurements at 1 min interval of the soil temperature at different depths (5,10,20,30,50,100 cm) in the Gobabeb site in Namibia (-23.56N 15.04E).</p> <p> </p>
Database of Ca2+ transients from single cell E. coli measurements
<p><strong>Database configuration</strong><br> To efficiently compare conditions from over 7 Tb of image data, we constructed an HDF5 database with the extracted fluorescent traces for each experiment. The database was configured such that the fluorophore specifies the first group (<em>e.g.,</em> '/gcamp'). The second group is the unique experimental identifier generated at the time of the experiment (<em>e.g.,</em> '/20210322_5 Hz_gcamp_90pts'). The third group specifies the variable name (See Table below for description). The database is also available from https://bitbucket.org/meyerct6/soc_bacteria_repo/src/master/ in (Database/soc_bacteria_database.h5) and can be used to recreate most figures in the manuscript.</p> <table> <caption>Description of HDF5 database variables for each experiment</caption> <tbody> <tr> <td>/meanintMatG</td> <td>Matrix of mean intensity within each segmented cell (rows) at all time points (columns).</td> </tr> <tr> <td>/corrIntMatG</td> <td>Matrix of mean intensity corrected for photobleaching.</td> </tr> <tr> <td>/fitRsqr</td> <td>Vector of R-squared fit values for photobleach equation.</td> </tr> <tr> <td> /timeMat</td> <td>Matrix of acquisition times for each cell (rows) at every timepoint (columns).</td> </tr> <tr> <td>/heat_kill</td> <td>Boolean vector denoting whether the cell was heat killed</td> </tr> </tbody> </table> <p> </p>
TEAMx-PC22 (TEAMx pre-campaign 2022) – Vertical profiles and Multi-Point In-Situ Measurements at Nafingalm collected with the SWUF-3D UAS fleet
<p>This dataset contains aggregated measurements from a fleet of multicopter UAS. The data was measured during the period 21 June 2022 through 27 June 2022 at Nafingalm, Austria with the SWUF-3D fleet. The data was collected in association to the TEAMx-PC22 field campaign. A maximum of three UAS were operated simultaneously. Processed level-2 data is provided. For level-2 data, time synchronization between individual UAS was done through interpolation, if multiple UAS are operated simultaneously.</p> <p>In this dataset vertical profiles (swuf3dvpro) between 10m and 120m above ground level and time series of UAS hovering for approx. 10 minutes at fixed positions (swuf3dhover) are provided with a temporal resolution of 1 Hz.</p> <p>The data are provided in NetCDF format with metadata and variable descriptions in the style of the SAMD Product standard: Jahnke-Bornemann, Annika. (2022, August 18). The SAMD Product Standard (Standardized Atmospheric Measurement Data) (Version 2.2). http://doi.org/10.25592/uhhfdm.10416</p>
Data and code associated with the paper 'Measurement-induced collective vibrational quantum coherence under spontaneous Raman scattering in a liquid'
<p>Data and code associated with the following paper <a href="https://doi.org/10.1038/s41467-023-38483-9">V. Vento, S. Tarrago-Velez et al., Nat. Commun. (2023)</a></p> <p>A thorough explanation of the experiment performed is available there.</p> <p>The name of each sub-folder and file in <strong>CS2_data_code.zip</strong> indicates the corresponding figure number ("FIG #") and the type of content ("Data", "Analysis" or "Model").</p> <p> </p>
Hypervelocity impact RF/optical measurements
<p>Oscilloscope traces in LeCroy binary format (Matlab and Python decoding scripts available) associated with patch antenna and photomultiplier tube measurements conducted 2011-08-02 at the Max Planck Institute for Nuclear Physics dust accelerator.</p> <p>File names follow the format xxx-Cy_zzzzz.trc where:<br> xxx is PMT for the photomultiplier tube, 916 for the 916 MHz patch antenna, and 315 for the 315 MHz patch antenna<br> y is the oscilloscope channel (1-3 for the three of each type of patch antenna, single channel for the PMT)<br> zzzzz is the shot number, where 865 is a 3.51 fg impactor at 23.9 km/s, 931 is a 2.52 fg impact at 34 km/s, and 1156 is a 0.93 fg impact at 50.7 km/s.</p>
Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV
<p>Time Series Measurement Data of Office Buildings in Jakarta Indonesia - Incoming Three Transformers of 2 MVA rating (20 kV | 0.4 kV)<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc</p>
Time Series Measurement Data of Medium Voltage | Low Voltage [MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)
<p>Time Series Measurement Data of Medium Voltage | Low Voltage (MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)<br> Standardized Power Quality Analyzer took the data within 1- and 5 minutes span data during seven days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, and Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc</p>
Time Series Measurement Data of Residentials | Jabodetabek Regions Indonesia – 220|230 Volt (1300|2200|3300|4400|5500) VA
<p>Time Series Measurement Data of Residentials | Jabodetabek Regions Indonesia – Voltage rating from 220|230|400 Volt within Power Contract/Limiter of (1300|2200|3300|4400|5500) VA.<br> The data was collected with Standardized EDMI Read Head Optical Read Head for Data Communication (FLAG IEC-62056-21) within 5, 10, and 15 minutes. The data were then levelized into 1 minute for computation needs through the interpolation method.</p> <p>The data consist of Apparent Power (S, kVA) and Time (in minutes) within one-phase measurement, representing the behavioral patterns and social practices around load consumption in the rural, semi-urban, and urban areas of Jabodetabek.</p>
Ocean Microstructure measurements using a Slocum glider in the Southern Ocean Marginal Ice Zone
<p>Ocean microstructure data were collected using a turbulence package mounted on a Slocum and deployed from RV SA Agulhas II in the North Eastern Weddell Sea, [60S; 0E], from December 2019 to February 2020. Observations conducted by the Southern Ocean Carbon-Climate Observatory, Smart Places, CSIR, for the project "Contemporary and Future Drivers of CO2 and Heat in the Southern Ocean" funded by NRF-SANAP (SNA170522231782, SANAP200324510487) and in collaboration with Polar Gliders, University of Gothenburg (Project: "Robotic Observations and Modelling of the Marginal Ice Zone" funded by the Wallenberg Academy Fellowship (WAF 2015.0186). Turbulence data were collected using a Rockland Scientific MicroRider mounted on the SLOCUM. Microshear was measured using two airfoil shear probes oriented orthogonally to each other. The measurements are from a 47 days of dive and climb profiles, with a maximum depth of 500 m. The dataset is processed and prepared following the SCOR Working Group ATOMIX guidelines and recommendations. The provided file includes daily arithmetic means of the dissipation rate of turbulent kinetic energy derived from the microrider measurements. Temperature, salinity, latitude and longitude were taken from the Slocum glider.</p>
[Dataset] Pattern and repeatability of ascarid-specific antigen excretion through chicken faeces, and the diagnostic accuracy of copro-antigen measurements as compared with McMaster egg counts and plasma and egg yolk antibody measurements in laying hens
<p>Comprehensive data examining the pattern and repeatability of ascarid-specific antigen excretion in chicken faeces and the diagnostic accuracy of copro-antigen measurements compared to McMaster egg counts and antibody measurements in laying hens.</p> <p>The dataset consists of observations and measurements obtained from a controlled study involving laying hens infected with mixed <em>Ascaridia galli</em> and<em> Heterakis gallinarum</em>. A total of 179 individual hens were monitored between wpi 2 and 18 and their fecal samples/blood samples were collected at specific time points. Faecel samples were repeatedly collected four(4) consecutive times in one wpi.Hence antigen measurements is 4 X 179 = 716 measurements</p>
Data for Project 'Test-Retest Reliability and Validity of vagally-mediated Heart Rate Variability to Monitor Internal Training Load in Older Adults: A within-subjects (repeated-measures) randomized study'
<p>Data for Project 'Test-Retest Reliability and Validity of vagally-mediated Heart Rate Variability to Monitor Internal Training Load in Older Adults: A within-subjects (repeated-measures) randomized study' consisting of (1) the original and complete dataset ('Data_Brain-IT-Reliability-of-HRV-during-Exergaming_for-publication'; and (2) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.</p>
BeMAGIC_Magnetoelectric measurements using solid configurations (transistor, condenser-like)
<p><strong>BeMAGIC_ITN_(GA861145)_Magnetoelectric measeurements using solid configurations (transistor, condenser-like). Results from ICN2, GTECM, VOXALYTIC and AALTO.</strong></p>
3-D T1 relaxation time measurements in an equine model of subtle post-traumatic osteoarthritis using MB-SWIFT
<p>This dataset contains Key analysis and plotting scripts, data, and sample images.</p> <p>3-D T1 relaxation time measurements in equine model of post-traumatic osteoarthritis using MB-SWIFT</p> <p>Journal of Orthopaedic Research | DOI: 10.1002/jor.25629</p> <p>Swetha Pala (1), Nina Hänninen (1,2), Ali Mohammadi(1), Mohammadhossein Ebrahimi (1,2), Nikae C.R. te Moller(3), Harold Brommer(3), P. René van Weeren (3), Janne T.A. Mäkelä (1), Rami K. Korhonen (1), Isaac O. Afara(1), Juha Töyräs (1,4,5), Santtu Mikkonen (1), Mikko J. Nissi (1*), Olli Nykänen (1,2)</p> <p> 1Department of Applied Physics, University of Eastern Finland <br> 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu<br> 3Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University<br> 4Science Service Center, Kuopio University Hospital, Kuopio, Finland<br> 5School of Information Technology and Electrical Engineering, The University of Queensland </p> <p><br> *Corresponding author<br> Mikko J. Nissi<br> Department of Technical Physics<br> University of Eastern Finland, Kuopio Finland<br> POB 1627<br> 70211 Kuopio<br> mikko.nissi@uef.fi<br> +358-50-5955517<br> Running title: ‘3D T1 of mild PTOA using MB-SWIFT’</p> <p><br> Keywords: Quantitative MRI, T1 relaxation, equine model, post-traumatic osteoarthritis, proteoglycan content.</p> <p>Included folders and files are:<br> - Article_figures: all figures published in the manuscript (.svg format)<br> - Data: Raw MRI data files per flip angle (phase & magnitude images) from 28 samples and corresponding fitted T1 maps within respective folders. SPSS structured data files used for statistical analysis.<br> - Matlab scripts: Matlab functions used for data processing and T1 computation, aedes plugins, and data analysis with subfolders and files:<br> - aedes_plugins: plugins for aedes (http://aedes.uef.fi) and scripts for calculation of surface visualisations from relaxation time maps and auto-segmented mesh. <br> - Data processing and T1 computation: Scripts for non-linear 3D T1 fitting. <br> - Analysis: Key scripts used for analysis and plotting.</p> <p>- README.txt: this file describing the contents of the dataset.</p> <p><br> See more info in separate readme files included in sub-folders.</p> <p><br> (Swetha Pala, 31 May 2023)</p>
Discrete surface turbidity samples and underway sea surface temperature and sea surface salinity measured in Aarhus Bay during a demonstration of an experimental autonomous surface vehicle
<p>This dataset includes measurements obtained by an autonomous boat that was equipped with a surface water sampling system: the Naval Operating Research Drone Assessing Climate Change (NORDACC). </p> <p>This dataset includes two .csv files</p> <p><br> 2022-10-14_NORDACC_Turbidity.csv<br> This file contains the results of 8 discrete surface water samples that were analyzed for turbidity using a Hach turbidimeter. Surface water samples were acquired by NORDACC on the afternoon of 14 October 2022 in Aarhus Bay. The columns are separated by commas and correspond to: <br> Sample Number, Date (yyyy-mm-dd), UTC time (HH:MM:SS), Longitude (decimal degrees), Latitude (decimal degrees), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> 2022-10-14_NORDACC_UnderwayData.csv<br> This file contains 1 Hz data, delimited by commas, that were collected while NORDACC was in operation. The underway data columns correspond to:<br> Date & Time (ISO format yyyy-mm-ddTHH:MM:SS), Operation State (1=initializing, 2=sailing, 3=water sample), Longitude (decimal degrees), Latitude (Latitude), Sea Surface Temperature (SST; degC), Sea Surface Salinity (SSS)</p> <p><br> About NORDACC:</p> <p>The Naval Operating Research Drone Assessing Climate Change (NORDACC) was designed by Serbian Akbulut, Jeppe Fogh Rasmussen, Christian Søndergård Hestbech, and Marius Hjorth Andersen, a group of mechatronics students at Aarhus University. The project was supervised by Prof. Claus Melvad (AU) and received external guidance by Dr. Daniel Carlson (Helmholtz-Zentrum Hereon). The NORDACC project was partially supported by Helmholtz-Zentrum Hereon and the Klaus-Tschira Boost Fund that was administered by the German Scholars Organization.</p> <p>NORDACC designs, software, and BOM are open source and provided via Mendeley Data, doi:10.17632/rpzv35pccr.1 </p> <p>For more information about NORDACC see the accompanying paper in HardwareX. </p>
Supplementary data for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges
<p>The Microsoft Excel files containing the supplementary data and diagrams for the paper:</p> <p><strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong></p> <p>The article is under review in the Journal of Systems and Software.</p> <p>In this version, the literature search has been performed between April and May 2023, and studies published until that date has been mentioned in the attached Excel files.</p> <p>This version (v3.4.0) corresponds to the third revision (R3) of the manuscript.</p> <p> </p>
Analysis of the Ground Level Enhancement GLE 60 on April 15, 2001, and its Space Weather Effects: Comparison with Dosimetric Measurements - Data
<p>Computed data that was used within the "Analysis of the Ground Level Enhancement GLE 60 on April 15, 2001, and its Space Weather Effects: Comparison with Dosimetric Measurements" paper. Computations of cones were done by OTSO using TSY89 + IGRF13 magnetic field parameters. Contains the atmospheric yield functions used for radiation computation as well as the global radiation map at 35kft for GLE60. Data is provided in .csv format.</p>
Tree-Ring Measurement File: Lodgepole Pine Samples Collected at Steamboat Geyser, Yellowstone National Park
<p>Decade format (Tucson format) tree-ring measurement file (0.001 mm) for lodgepole pine core samples collected adjacent to Steamboat Geyser in Yellowstone National Park, Wyoming, USA.</p>
6 DoF Directional Room Impulse Response Dataset Measured over a Dense Loudspeaker Grid (6DRIR-DL)
<p>The 6DoF directional RIR dataset (aka <strong>6DRIR-DL</strong>) includes room impulse responses (RIRs) measured by <strong>nine</strong> spherical microphone arrays (SMAs; Zylia ZM-1S) distributed in a semi-cuboid room. <strong>6DRIR-DL</strong> is specialized by its massive loudspeaker positions (<strong>392</strong> locations), which were incorporated for the 6DOF source localization task. The inter-element spacing between loudspeakers is only 8 cm, so the dataset can be utilized to validate a sound source localization algorithm for closely positioned multiple sound sources.</p>
ScienceDex guides
Understand access before you commit
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.