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1,509 results for “Calibrations”
Dataset - Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty
<p>This page contains selected data from the publication "Dual-mode room temperature self-calibrating photodiodes approaching cryogenic radiometer uncertainty", Marit S Ulset <em>et al</em> 2022 <em>Metrologia</em> <strong>59</strong> 035008, <strong>DOI</strong> 10.1088/1681-7575/ac6a94.</p> <p> </p> <p>Description of files:</p> <p>Fig5.txt: Data for Fig 5a. Plotted values of non-equivalence as a function of beam position on the photodiode.</p> <p>Fig6.txt: Non-equivalence (gamma) in parts per million (ppm) and responsivity in mK/mW as a function of power level P in mW. </p> <p>Fig7.txt: Spectral directional emissivity determined under 10° with respect to the sample surface normal for Wafer P7 at 20°C. Uncertainty is given as standard uncertainty (k=1).</p> <p>Fig14.txt: Calculated time constants for the four different steps in a thermal heating cycle (electrical low, optical, electrical high, optical). The average value in the published paper contains an error, as one dataset was used twice. The file also shows correct the average value, when all datasets are used only once. A corrigendum was submitted to Metrologia, but it was considered not necessary, and hence not published. </p> <p>Fig15.txt: Plotted values for apparent IQD in parts per million (ppm) for three different calculation algorithms. Uncertainty is given as propagated type A standard uncertainty.</p> <p>Fig16.txt: Plotted values for measured IQD in parts per million (ppm) as a function of absorbed optical power in µW, for two different measurement methods - OC and FB method.</p>
Model for Calibrating a Model to Thirty Years of Data to Capture the Accumulation of Chloride from Winter Deicers in a Shallow Aquifer
<p>We created a ten layer model to simulate the flow and transport of chloride in Will County’s shallow aquifer with Groundwater Vistas software. This model is transient with yearly stress periods starting in 1950 and ending in 2020.</p> <p>The groundwater flow model was developed using the U.S. Geological Survey (USGS) finite difference code MODFLOW-NWT (McDonald and Harbaugh 1988; Niswonger et al., 2011) within the graphical user interface Groundwater Vistas 7.24 (Rumbaugh and Rumbaugh, 2020). We simulated chloride transport with the MODFLOW post-processing package MT3D-USGS (Bedekar et al., 2016).</p> <p>See Methods Section of 'Calibrating a Model to Thirty Years of Data to Capture the Accumulation of Chloride from Winter Deicers in a Shallow Aquifer'</p> <p>With questions email Cecilia Cullen (ccullen3@illinois,edu) or Daniel Abrams (dbabrams@illinois.edu) </p>
caLIBRAte - eNanoMapper database
<p>The objective of the <a href="https://cordis.europa.eu/project/id/686239">caLIBRAte</a> project was to establish a state-of-the-art versatile Risk Governance framework for assessment and management of human and environmental risks of MN and MN-enabled products. Since 1 October 2022 the data gathered in the project are publicly available via the <a href="https://search.data.enanomapper.net/projects/calibrate">caLIBRAte - eNanoMapper database</a>. A standalone Docker instance is <a href="https://github.com/ideaconsult/ambit-docker">also available</a>. The caLIBRAte database is subject to updates during completion of supplemental analysis after publication as an open database entity.</p>
Dataset for "Calibrated transmission and reflection from a multi-qubit microwave package"
<p>Dataset needed to reproduce figures 3 and 4 of "Calibrated transmission and reflection from a multi-qubit microwave package". Included are </p> <ol> <li>raw (calibrated) S-parameter data </li> <li>a Python notebook to apply time domain gating and then display the S-parameters of the multi-qubit package (Fig. 3). Requires Scikit-rf (<a href="https://scikit-rf.org/">https://scikit-rf.org/</a>) to be installed.</li> <li>a Python notebook to display the simulated impact of signal distortions on quantum gate fidelities of a qubit within the package (Fig. 4). </li> </ol>
Dataset for a reduced self-calibrating method for rotary table error motions
<p><strong>Ball plate measurement dataset</strong></p> <p>Two datasets from the measurements of a ball plate for the application of a novel method for the determination of rotary table errors in six degrees of freedom on coordinate measuring machines are provided. The method is based on the measurement of an uncalibrated circular ball plate in different rotational positions on the rotary table, also referred to as the three-rosette method. The novel procedure allows to reduce the number of measurement positions significantly compared to the complete three-rosette method whereas the measurement uncertainty still remains sufficiently small. The method relies on error separation and is self-calibrating which means that no external reference is required. The sophisticated design of a new ball plate allows to determine the rotary table errors in angular steps of only 5°.</p> <p>Provided are two datasets:</p> <ul> <li>One dataset of a measurement of a ball plate with 12 equidistant balls for the detection of the rotary table errors in steps of 30 degrees, using the complete three-rosette method.</li> <li>One dataset of a measurement of a ball plate with 12 non-equidistant balls for the detection of the rotary table errors in steps of 5 degrees, using the new reduced three-rosette method.</li> </ul> <p> </p> <p><strong>Acknowledgement</strong></p> <p>This dataset was obtained within the 19ENG07 Met4Wind project. This project 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.</p> <p>Project title: Metrology for enhanced reliability and efficiency of wind energy systems<br> Funder name: European Commission<br> Funder ID: 10.13039/100014132<br> Grant number: 19ENG07 Met4Wind<br> Link to project homepage: <a href="https://www.ptb.de/empir2020/met4wind/home/">https://www.ptb.de/empir2020/met4wind/home/</a></p>
dataset of: "Glacier projections sensitivity to temperature-index model choices and calibration strategies"
<p>data for <strong><em>Schuster, L., Rounce, D. R., and Maussion, F.: Glacier projections sensitivity to temperature-index model choices and calibration strategies, Annals of Glaciology, 2023, <a href="https://doi.org/10.1017/aog.2023.57" target="_blank" rel="noopener"><span>https://doi.org/10.1017/aog.2023.57 </span></a></em></strong><br><br><strong>When using this dataset, please refer to the original publication in addition to this Zenodo repository.</strong></p> <p>You can find the code to create the data and plot the figures in the <a href="https://github.com/lilianschuster/oggm_mb_sandbox_option_intercomparison">oggm_mb_sandbox_option_intercomparison GitHUB repository</a>.<br> </p>
Viscosity calibration data
<p>Data used in the preprint https://arxiv.org/abs/2208.13854</p>
SWOT calibration dataset
<p>Dataset and saved model weights used for the "Scale aware neural calibration of wide swath altimetry data" publication.</p> <p>Contains:</p> <p>OSSE setting for SSH mapping:</p> <p>Gridded data 1/20°:</p> <p>- 1 year SSH data from NATL60</p> <p>- pseudo-observations of nadir altimeters</p> <p>Pseudo-observations in sensor geometry sampled using the SWOT simulator :</p> <p>- 5 nadirs</p> <p>- Wide swath SWOT SSH data</p> <p>- SWOT error signals</p>
Crowdsourced dataset of firefly trajectories obtained by automated stereo calibration of 360-degree cameras
<p>Advancements in animal tracking techniques, spanning from migrating mammals to swarming insects, have resulted in remarkable progress in the fields of behavioral ecology and conservation science. Recently, we have devised a method for tracking luminous fireflies in their natural habitat using stereoscopic pairs of 360-degree cameras. This method offers affordability, versatility, and ease of setup; however, the process of camera calibration has remained tedious and time-consuming. Now, we have introduced an enhanced algorithm that achieves spatial and temporal stereo calibration directly from the data, eliminating the need for manual procedures both in the field and during video processing. The algorithm relies on cross-correlation of flashing patterns and numerical estimation of camera pose. Utilizing this improved protocol and processing software, we have compiled an extensive dataset comprising over 100 reconstructed firefly swarms of various species. This data was gathered throughout the United States by numerous contributors following a straightforward protocol. The dataset holds significant potential for advancing our comprehension of firefly collective behavior, facilitating population monitoring, and expanding citizen science initiatives.</p>
Multiparameter Water Quality Monitoring System for Continuous Monitoring of Fresh Waters Calibration and Measurement Data Set
<p>This data set contains calibration data for all sensors incorporated in the sensor node. It provides comparison measurements of TPL fluorescence taken by the node and reference spectrofluorimeter. Initial test measurements, as well as site measurements, are also provided. Finally, data from a heuristic method of TPL detection in the presence of algae and mud are also given.</p>
Measurements on reference materials for SThM measurand versus thermal conductivity calibration curve
<p>This sheet presents the results of measurements carried out on calibration samples using the SThM technique as part of the NanoWires project. The thermal conductivity of the samples was previously characterised using a traceable technique. Measurement results are given with associated standard uncertainty. The thermal conductivity range studied was between 0.187 and 117 W.m<sup>-1</sup>.K<sup>-1</sup>. These measurements were used to construct the thermal conductivity calibration curve for a SThM probe.</p> <p>The 19ENG05 NanoWires project 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.</p>
NASA's Airborne Topographic Mapper (ATM) airborne waveform and ground calibration data for the Arctic Spring campaign 2016
<p>The Airborne Topographic Mapper (ATM) was a scanning lidar developed and used by NASA for observing the Earth’s topography for several scientific applications, foremost of which was the measurement of changing Arctic and Antarctic ice sheets, glaciers and sea ice. ATM measured topography to an accuracy of better than 5 centimeters by incorporating measurements from GPS (global positioning system) receivers and inertial navigation system (INS) attitude sensors.</p> <p>In pressurized aircraft the transmitted laser pulse travels thru the aircraft’s optical window close to the scan mirror. The optical delay fiber that is necessary to separate the transmit pulse and window reflection as well as other system components introduce a laser time-of-flight range bias that needs to be determined from ground calibration measurements. This data set includes ATM airborne waveform data from the T2 lidar, as well as the ground test data and true ranges for the Arctic Spring campaign 2016.</p> <p>A collection of MATLAB® functions to read ground test waveform and airborne waveform data is available at: <a href="https://doi.org/10.5281/zenodo.6341229">https://doi.org/10.5281/zenodo.6341229</a></p> <p><strong><strong>See also:</strong> </strong></p> <ul> <li>NASA's Airborne Topographic Mapper (ATM) ground calibration data for waveform data products: <a href="https://doi.org/10.5281/zenodo.7225936">https://doi.org/10.5281/zenodo.7225936</a></li> <li>User guide for NASA's Airborne Topographic Mapper HDF5 waveform data products:<a href="https://doi.org/10.5281/zenodo.7246097"> https://doi.org/10.5281/zenodo.7246097</a></li> <li>Collection of MATLAB® functions for working with ATM (Airborne Topographic Mapper, laser altimetry data products in HDF5 waveform format: <a href="https://github.com/mstudinger/ATM-waveform-tools">https://github.com/mstudinger/ATM-waveform-tools</a></li> <li>Airborne Topographic Mapper (ATM) Bathymetry Toolkit (MATLAB® functions): <a href="https://doi.org/10.5281/zenodo.6341229">https://doi.org/10.5281/zenodo.6341229</a></li> <li>All ATM data products are freely available at the National Snow and Ice Data Center (NSIDC) at <a href="https://nsidc.org/data/icebridge">https://nsidc.org/data/icebridge</a> and can also be downloaded from the NASA Earthdata portal at <a href="https://earthdata.nasa.gov/">https://earthdata.nasa.gov/</a></li> <li>The ILATMW1B airborne waveform data is available at NSIDC: <a href="https://nsidc.org/data/ILNSAW1B/versions/1">https://nsidc.org/data/ILNSAW1B/versions/1</a> (narrow swath) <a href="https://nsidc.org/data/ILATMW1B/versions/1">https://nsidc.org/data/ILATMW1B/versions/1</a> (wide swath)</li> </ul>
Dataset for the "Comparison of fiber interferometric sensor with a commercial interferometer for a Kibble balance velocity calibration"
<p>This dataset supports findings of the study presented in paper "Comparison of fiber interferometric sensor with a commercial interferometer for a Kibble balance velocity calibration".</p>
Supplementary materials of "Calibrated weighted permutation test detects ancient language connections in the Circumpolar area (Chukotian-Nivkh and Yukaghir-Samoyedic)"
<p>Supplementary materials of the paper: Alexei S. Kassian, George Starostin, Mikhail Zhivlov, Sergey A. Spirin. Calibrated weighted permutation test detects ancient language connections in the Circumpolar area (Chukotian-Nivkh and Yukaghir-Samoyedic). <em>Journal of Historical Linguistics</em>, 2024, <a href="https://doi.org/10.1075/jhl.00014.kas">https://doi.org/10.1075/jhl.00014.kas</a>. </p> <p>The Supplement includes the datasets, descriptions, comments and all technical files which makes our linguistic experiment fully reproducible:</p> <ul> <li>Supplement text (pdf): 1. Consonant classes; 2. Weighted permutation test; 3. Negative control and calibration of permutation test outcomes; 4. Pairwise comparison between Yeniseian, Burushaski and all the Na-Dene wordlists; 5. CC-matches in statistically significant pairs (Chukotian-Itelmen, Nivkh, Samoyed, Yukaghir, Yeniseian, Na-Dene, Burushaski); 6. Basic information on the language families and groups; 7. Linguistic comments on individual Swadesh forms; 8. Transcription system.</li> <li>Supplement tables (xls): 1. Stability of the Swadesh concepts; 2. 110-item wordlists for the languages of the Circumpolar area; 3. Weighted permutation test for the negative control group; 4. Consonant classes.</li> <li>Technical files of the permutation test: 1. Circumpolar languages; 2. Negative control group (incl. dataset); 3. Positive control group; 4. Yeniseian-Dene-Burushaski hypothesis</li> </ul> <p>The software package is available at <a href="https://github.com/dmkrylov/starling-permutation-test">https://github.com/dmkrylov/starling-permutation-test</a></p>
Datasets for article "Robot Self-Calibration Using Actuated 3D Sensors"
<p>Real and sythetic datasets used in artilcle "Robot Self-Calibration Using Actuated 3D Sensors". For each recodring of a calibration scene is there is a ROS bag file holding a single message of type vision_3d_msgs/Actuated3dRecording.</p>
DESI Complete Calibration of the Color-Redshift Relation (DC3R2): Results from early DESI data
<p>The data and python code used to reproduce the figures in the paper of the same name, J. McCullough et al.</p>
NEW REFERENCE HVDC DIVIDER FOR THE CALIBRATION OF TESTING EQUIPMENT UP TO 1600 kV
<p>An international metrology project named “EMPIR 19ENG02 FutureEnergy” started in June 2020, is developing, building, and evaluating measurement equipment and systems for the UHV level. This paper describes the work on a new reference UHVDC voltage divider for the calibration of testing equipment up to at least 1600 kV. This divider has a modular design and target expanded measurement uncertainty of 200 μV/V. The need for such measurement systems results from new measurement methods for future energy transmission grids. After the construction of the UHVDC voltage divider, the targeted measurement uncertainty of 200 μV/V was successfully at 1200 kV during a measurement campaign at PTB. The linearity and temperature dependence of the UHVDC divider modules as well as the overall results of this new divider are included in this work. This work will lead to new calibration and measurement capabilities (CMC) for traceability of the designed divider systems for participating national metrology institutes (NMI).</p>
Matlab code to calibrate a structured-PDE model to data from in vitro experiments
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Calibrating phylogenies assuming bifurcation or budding alters inferred macroevolutionary dynamics in a densely sampled phylogeny of bivalve families
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Data for: An accurate and rapidly calibrating speech neuroprosthesis
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