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10,554 results for “measurements”
Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L4 data)
<p><strong>Flux measurements at the big solar furnace in Odeillo.</strong></p> <p>Data levels description:</p> <ul> <li>Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…).</li> <li>Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale).</li> <li>Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2.</li> <li>Level 3 data: data interpolated and smoothed for regular heliostat aiming positions.</li> <li><strong>=> Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution.</strong></li> </ul> <p>One HDF file per heliostat.</p> <p>Heliostats chosen randomly among the 26 available.</p> <p>HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd.</p> <p>For each heliostat : the aiming position of the heliostats was moved in S patterns.</p> <p>Data from experiment started 2021-12-22 120618 GMT.</p> <p>Data processing completed 2022-03-02 1459 GMT.</p> <p><strong>References:</strong></p> <ul> <li>Related to SolarPaces 2022 communication: <strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace </strong></li> <li>Solar furnace description and more: <a href="https://doi.org/10.1063/1.5067052">https://doi.org/10.1063/1.5067052</a></li> <li>Cameras settings description and more: <a href="https://doi.org/10.1063/1.5067202">https://doi.org/10.1063/1.5067202</a></li> </ul>
Data for: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by Crossplot
<p><span>To evaluate the synchronization of bivariate time series has been a hot topic and a number of measures have been proposed. In this work, by introducing the ordinal pattern transition network (OPTN) into the crossplot,</span> <span>a new method for measuring the synchronisation of bivariate time series is proposed.</span> <span>After the crossplot been partitioned and coded, the coded partitions are defined as network nodes and a directed weighted network is constructed based on the temporal adjacency of the nodes. The crossplot transition entropy (CPTE) of the network is proposed as an indicator of the synchronization between two time series. To test the characteristics and performance of the method, it is used to analyse the unidirectional coupled Lorentz model</span> <span>and compared it with existing methods. The results showed the new method had the advantages of easy parameter setting, efficiency, robustness, good consistency and suitable for short time series. Finally, EEG data from auditory evoked potential EEG-Biometric dataset are investigated, and some useful and interesting results are obtained.</span></p>
Movies, temperature and pressure measurements associated with the study "Volumetric changes of mud on Mars: evidence from laboratory simulations"
<p>Movies, temperature and pressure measurements logs associated with the study "Volumetric changes of mud on Mars: evidence from laboratory simulations" that are showing behavior of muds with different viscosities.</p>
Viscoelasticity modeling of clay minerals by dynamic viscoelasticity measurement and its implications for earthquake faulting
<p>We conducted dynamic viscoelastic measurements on three clay minerals, kaolinite, illite and smectite with water. These concentrated (dense) suspension systems of clay minerals were investigated using a high-temperature and high-fluid-pressure rheometer to determine their viscoelastic properties, which help further the understanding of tectonic and non-tectonic phenomena in the shallow unconsolidated portion of the lithosphere. Our results suggested that the rheological properties resulting from the network structure of the clay mineral were temperature, pressure and peak shear strain rate dependent. In addition, it was observed during this study that the amount of change in the phase angle varied systematically with the type of clay mineral. This suggests that the viscoelastic behaviour of unconsolidated systems saturated with fluid varies with the type of clay minerals that compose it. (Abstract)</p>
Data for "Measurement report: A one-year study to estimate maritime contributions to PM10 in a coastal area in Northern France."
<p>The characterization and the source apportionment of PM10 data have been used for the article "<strong>Measurement report: A one-year study to estimate maritime contributions to PM<sub>10</sub> in a coastal area in Northern France</strong>," which is under revision in the journal <em>Atmospheric Chemistry and Physic</em><em>s. </em></p>
'Danum Revised' forest field plot data for twenty 0.28 hectare field plots, measured in 2017
<p>Permanent forest plot data from Sabah, Malaysia. Danum Valley Conservation Area. Here we provide a brief description of the permanent plot data collected following the same protocols utilized within the Kuamut forest reserve.</p> <p>Twenty circular field plots with a 30 m radius that were established across the protected area as part of a collaboration between SEARRP and the Carnegie Airborne Observatory (CAO) in 2017. These plots were surveyed following the same protocols as those described by the Kuamut conservation project. The field protocol is provided. Field plot locations where selected using airborne LiDAR to specifically target both high Aboveground Carbon Density (ACD) areas, and also areas with different ACD predictions based on a draft set of carbon mapping models. See Jucker et al. (2018) and Asner et al. (2017) for further details. Note subsequent measurements (in 2020) include more plots. Subsequent measurements allowed further data checking and corrections, so some minor updates to the 2017 dataset have been made since the previous publications. Please see additional Zenodo data entries for the 2020 measure.</p> <p>Use of these data require citation of this dataset and citation of the two original journal articles that delivered and explain the work, and that you inform us of the use of the data. We would also appreciate the opportunity to be involved in work making use of this data. The required citations are as follows:</p> <p>Asner, Gregory P., Philip G. Brodrick, Christopher Philipson, Nicolas R. Vaughn, Roberta E. Martin, David E. Knapp, Joseph Heckler, et al. 2017. “Mapped Aboveground Carbon Stocks to Advance Forest Conservation and Recovery in Malaysian Borneo.” <em>Biological Conservation</em> 217 (June 2017): 289–310. <a href="https://doi.org/10.1016/j.biocon.2017.10.020">https://doi.org/10.1016/j.biocon.2017.10.020</a></p> <p>Jucker, Tommaso, Gregory P. Asner, Michele Dalponte, Philip G. Brodrick, Christopher D. Philipson, Nicholas R. Vaughn, Yit Arn Teh, et al. 2018. “Estimating Aboveground Carbon Density and Its Uncertainty in Borneo’s Structurally Complex Tropical Forests Using Airborne Laser Scanning.” <em>Biogeosciences</em> 15 (12): 3811–30. <a href="https://doi.org/10.5194/bg-15-3811-2018">https://doi.org/10.5194/bg-15-3811-2018</a></p> <p>This work would not be possible without the incredibly hard work and dedication of the entire SEARRP field team, including Philip Ak Ulok; Hii Siew Yee; Remmy Bin Murus; Alexander Karolus; Andy Brian Karolus; Frederica Karolus; Zidey Fulgentius; Welday Bin Girang; Mohamad Taufiq Bin Sumin, Mohd Fadil Bin Abd Karim, Joulu Rasion, and Japin Bin Rasion. We are very grateful to the help of all the field staff not specifically mentioned here.­</p>
The duration effect of short-term monocular deprivation measured by binocular rivalry and binocular combination
<p>Full dataset and analysis script (Python) of the data presented in the paper "The duration effect of short-term monocular deprivation measured by binocular rivalry and binocular combination" by Prosper, Pasqualetti, Morrone & Lunghi (https://doi.org/10.1016/j.visres.2023.108278).</p> <p>Dataset and full description in README file.</p> <p>Analysis description in "analysis_notebook" file.</p>
Brewer #150 UV measurements and ancillary data needed for its uncertainty evaluation
<p>All files uploaded are needed to evaluate the uncertainty of the UV measurements recorded by the Brewer MKIII double monochromator (No. 150). The uncertainty analysis was carried out using the Monte Carlo technique, which was implemented in a separate R file (doi: 10.5281/zenodo.8046562). Files contain all the necessary information to characterize Brewer #150 (cosine correction, raw counts, lamp irradiance, responsivity instabilities, noise and wavelength shifts).</p>
Absolute Gravity Measurements in the Netherlands
<p>This report contains the results of absolute gravity measurements carried out in The Netherlands during June and July 2004. Gravity at five stations has been observed using an absolute gravimeter: Epen, Kootwiijk (geodetic observatory + water tower), Westerbork and Zundert.</p>
Initial Sample of HYPERNETS Hyperspectral Surface Reflectance Measurements for Satellite Validation from the Barrax Site in Spain
<p>The HYPERNETS project (www.hypernets.eu) has the overall aim to ensure that high quality in situ measurements are available to support the (VNIR/SWIR) optical Copernicus products. Therefore, it established a new autonomous hyperspectral spectroradiometer (HYPSTAR® - www.hypstar.eu) dedicated to land and water surface reflectance validation with instrument pointing capabilities. In the prototype phase, the instrument is being deployed at 24 sites covering a range of water and land types and a range of climatic and logistic conditions. This dataset provides the first published data for the Gobabeb HYPERNETS site in Barrax, Spain (BASP). It is a subset of the complete data record which consists of the best quality BASP measurements which could be used for satellite validation over the three day test deployment period. </p> <p>The provided NetCDF files are the L2A hypernets products with surface reflectances, their associated uncertainties and error-correlation information. The reflectance in the L2A products is the Hemispherical-directional Reflectance Factor (HDRF) defined as: HDRF = π L / E where L is the directional upwelling radiance (with field of view of 5 degrees) and E is the (hemispherical) downwelling irradiance (i.e. including both direct solar and diffuse sky irradiance). These reflectances have dimensions of wavelength and series, where each series is a set of measurements for a given geometry (combination of viewing zenith and azimuth angle). In addition to variables for wavelength and bandwidth, the files also contain variables that provide for each series the acquisition time, viewing and solar angles, number of valid scans used, and quality flags (typically no flags are set in the data provided in this dataset). These NetCDF files also contain further relevant metadata as attributes. See https://hypernets-processor.readthedocs.io/ for further info.</p> <p>The BASP site was a temporary installation over the period of the 20<sup>th</sup> – 22<sup>nd</sup> July 2022 during the Surface Reflectance Intercomparison eXperiment (SRIX) campaign (https://frm4veg.org/srix4veg/) at the Las Tiesas experimental farm in Barrax, Spain. This location was selected due to its typical clear skies, flat terrain, and well-managed crops. The HYPSTAR®-XR (eXtended Range) was deployed in a small corn field next to the ongoing UAV experiment. The instrument was deployed on a 3.5m high pole with a short extended boom at 1.3m height from the crops, with measurements running every 30 minutes throughout the day (UTC+2) and measuring between viewing zenith angles of 0-60 degrees.</p> <p>The HYPSTAR®-XR instruments deployed at each land HYPERNETS site consist of a VNIR and a SWIR sensor and autonomously collect data between 380-1700 nm at various viewing geometries and send it to a central server for quality control and processing. The VNIR sensor spans 1330 channels between 380 and 1000 nm with a FWHM of 3 nm and the SWIR sensor has 220 channels between 1000 and 1700 nm with a FWHM of 10 nm. The hypernets_processor (Goyens et al. 2021; De Vis et al. in prep.) automatically processes all this data into various products, including the L2A surface reflectance product provided here. All of the products have associated uncertainties (divided into random and systematic uncertainties, including error-correlation information) which were propagated using the CoMet toolkit (www.comet-toolkit.org). </p> <p>To obtain this dataset, we start from the full BASP data record and omit all the data that do not pass all of the quality checks performed as part of the hypernets_processor. In addition, an additional screening procedure was developed to remove outliers and only supply the best quality data suitable for satellite validation. To remove the outliers, a sigma-clipping method is used. First reflectances are extracted in separate 2 hour windows throughout the day (to account for BRDF differences due to different solar position) for 4 different wavelengths (500, 900, 1100 and 1600 nm). Outliers in these reflectances are then identified by iteratively calculating the mean reflectance trend with time (by binning the data per maximum 30 data points), calculating the standard deviation from this trend, and masking any data that is more than 3 standard deviations away from the trend. This process is repeated on the unmasked data until the standard deviation does not vary by more than 5% between two iterations. The masks for the 4 different wavelengths are then combined (keeping only measurements for which none of the 4 wavelengths is an outlier). The reflectances and associated uncertainties for any masked series (i.e. a geometry that is masked either by the sigma-clipping procedure or from the masks of the hypernets_processor) are replaced by NaNs. Any sequence that has more than half of its series masked is removed entirely. For BASP specifically, viewing zenith angles above 30 degrees have been removed, as well as any west-facing angles azimuth angles of 263,273 or 293 degrees) for viewing zenith angles of 5 degrees and 10 degrees. </p> <p>Note: In the accompanying .csv description file the measurement times are listed in (BST/ UTC+1) after UK time.</p>
UV-spectrophotometry dataset of technical lignin in solution after aging and looped measurements
<p>UV-spectrophotometry data of technical lignin samples in solutions is made available here, which was acquired after ambient aging for up to 110 days in DMSO solvent or looped measurements on fresh solutions in DMSO or 0.2N NaOH in water. UV-spectrophotometry of lignin is a useful technique, as it can a) quantify the concentration and purity of lignin in a given sample, b) determine the abundance of phenolic hydroxyl groups, and c) yield qualitative information about chemical modification of the lignin macromolecule. In addition, the technique is rapid and easy to use. Still, solutions of lignin are known to be unstable; in particular at high pH or in presence of UV-light. The data in this article may hence serve as guide in the experimental conduct and design, as it shows the reproducibility of UV-spectrophotometry measurements of lignin.</p>
Accurately Measuring Energy Consumption of Large Cosmological Simulations
<p><a href="https://event.pasc23-conference.org/session/sess138">https://event.pasc23-conference.org/session/sess138</a></p> <p>Minisymposium</p> <p>MS6G - Green Computing Architectures and Tools for Scientific Computing</p>
Electrophysiological measurement results in patients with a missense variant in ACTG1
<p><strong>Introduction</strong>: This preliminary study identified a missense variant in ACTG1 (NM_001614.5) in a family with autosomal dominant non-syndromic hearing loss (ADNSHL). The responsiveness of the electrically stimulated cochlear nerve (CN) in two implanted participants with this missense change was also evaluated and reported.</p> <p><strong>Methods</strong>: Genetic testing was done using a custom capture panel (MiamiOtoGenes) and whole exome sequencing. The responsiveness of the electrically-stimulated CN was evaluated in two members of this family (G1 and G4) using the electrically evoked compound action potential (eCAP). eCAP results from these two participants were compared with those measured three implanted patient populations: children with cochlear nerve deficiency, children with idiopathic hearing loss and normal-sized cochlear nerves, and postlingually deafened adults.</p> <p><strong>Results</strong>: Sequencing of ACTG1 identified a missense c.737A>T (p. Gln246Leu) variant in ACTG1 (NM_001614.5) which is most likely the genetic cause of ADNSHL in this family. eCAP results measured in these two participants showed substantial variations.</p> <p><strong>Discussion</strong>: The results indicated the missense c.737A>T (p. Gln246Leu) variant in ACTG1 (NM_001614.5) co-segregated with hearing loss in this family. The responsiveness of the electrically-stimulated CN can vary among patients with the same genetic variants, which suggests the importance of evaluating the functional status of the CN for individual CI patients.</p>
Measurement report: Atmospheric nitrate radical chemistry in the South China Sea influenced by the urban outflow of the Pearl River Delta
<p>Supporting dataset for Measurement report: Atmospheric nitrate radical chemistry in the South China Sea influenced by the urban outflow of the Pearl River Delta.</p>
Supplementary material for "A database for the comparison of measured datasets of human voice directivity"
<p>[1] C. Pörschmann. “A database for the comparison of measured datasets of human voice directivity," in Proceedings of the Forum Acusticum, Torino, Italy, 2023.</p> <p> </p> <p>This study presents a database that allows direct comparison and visualization of datasets from 19 different studies. The data is collected from tables, plots, and datasets from the supplemental material of the respective studies. Some studies present directivity patterns averaged over a whole sentence, while others report phoneme-dependent data. Furthermore, these datasets vary in their sampling grids, with many measured in the horizontal plane and just a few measured spherically. Most datasets included in this work present frequency-band averaged values, for example, in one-third octave bands, while a few newer studies provide the raw data in the form of transfer functions.</p> <p>Furthermore, the supplementary material contains voice directivity datasets determined over a complete sentence determined for a phonetically balanced German sentence (measured twice for 13 subjects).</p> <p> </p> <p>The .pdf file contains</p> <ul> <li>information on the database that allows comparing the results of 19 publications on voice directivities</li> <li>general information on the voice directivity files in the SOFA format</li> <li>information on the indices and names of the SOFA-files</li> <li>additional plots</li> </ul> <p> </p> <p>The Database.zip</p> <ul> <li>Excel-file containing datasets from the publications given in frequency-bands</li> <li>SOFA-Files (sampled on sparse grid) of all own datasets from previous studies</li> <li>Matlab scripts for importing, upsampling and visualizing all voice directivity datasets considered in the database</li> </ul> <p> </p> <p>The VoiceDirectivitySentence.zip files contain voice directivities patterns averaged over one phonetically balanced sentence in the SOFA format</p> <ul> <li>sampled on the sparse measuring grid</li> <li>upsampled to a dense grid</li> </ul>
[Dataset] Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements
<p>Dataset used for "Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements"</p>
Measuring the Position and Differentiation of Firms in Technology Space
<p>This website describes data collection, processing, and different open access data files related to measuring the position and differentiation of firms in technology space. The document "0_Data Description Zenodo.pdf" below provides more details. If you use the code or data, please cite the following paper: </p> <p>Arts S, Cassiman B, Hou J (2023). Position and Differentiation of Firms in Technology Space. <em><strong>Management Science </strong></em>69 (12): 7253-7265. <br><a href="http://doi.org/10.1287/mnsc.2023.00282">https://doi.org/10.1287/mnsc.2023.00282</a> </p> <p>The data matching U.S. public firms to U.S. patents comes from the DISCERN patent database (available from: <a href="http://zenodo.org/record/3709084">https://zenodo.org/record/3709084</a>). Please cite the following paper if you use this data: </p> <p>Arora A, Belenzon S, Sheer L (2021) Matching patents to Compustat firms, 1980–2015: Dynamic reassignment, name changes, and ownership structures. <em><strong>Research Policy </strong></em>50(5):104217.</p>
Cleaned Data from Behavioural Measure of Learning agility Pilot
<p>SPSS file with cleaned and processed data from the Behavioural Measure of Learning agility Pilot </p>
Pulse waveform and stroke volume/cardiac output measurements in healthy and hemodialysis patients
<p>Pulse wave measurements made with the SphygmoCor device (SphygmoCor, AtCor Medical, Australia) and stroke volume measurements made with the PhysioFlow device. Measurements taken in healthy (18 observations) and hemodialysis patients (35 observations, measurements performed about 15 mins before the start, after the start, before the end and after the end of HD session).</p>
Dataset for "Energetic electron flux dropouts measured by ELFIN in the ionospheric projection of the plasma sheet"
<p>This dataset accompanies our manuscript submission to JGR space physics. The dataset provides the event list of the 145 energetic electron flux dropouts measured by ELFIN during the period of April 2019 to September 2022. The table includes event start and end UT, satellite name (ELFIN-A or ELFIN-B), the association with large-scale field-aligned currents (FACs) as measured by FGM, and the relation with substorm and auroral activities as indicated by the SML index.</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.