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1,509 results for “Calibrations”
Material model calibration of Hertzian contact situations of a sphere and a plate with implemented pressure measurement film
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X-ray Fluorescence Core Scanning Dataset and Calibration Source Code
<p>This repository includes the raw output from X-ray fluorescence (XRF) core scanning, reference element concentration data, and the source code used for calibrating XRF counts. It is associated with the following publication:</p> <p>Kabiri S, Holden NM, Flood RP, Turner JN, O’Rourke SM. X-ray Fluorescence Core Scanning for High-Resolution Geochemical Characterisation of Soils. Soil Systems. 2024; 8(2):56. https://doi.org/10.3390/soilsystems8020056.</p> <p>This research was funded by the Irish Research Council, grant no. IRCLA/2017/137.</p>
Coda Calibration for Small Earthquakes near Rock Valley, Nevada
<p>This dataset was produced using the Coda Calibration Tool (Barno, 2017). It estimates moment magnitude (Mw) for small earthquakes near Rock Valley in southern Nevada. Included in the dataset are the calibration parameter file and curated waveform envelopes in SAC format for calibration and test events. The calibration parameter file (Calibration_Parameters.json) includes shape parameters and site terms for 20 stations, as well as independent Mw for 8 calibration events. Waveform envelopes for only the calibration events are found in the calibration_env folder. Waveform envelopes for test events are found in the all_env folder. A calibration should be run using only the envelopes in calibration_env since there is not validation Mw for the test events (i.e., running a calibration including the test events will affect the site terms).</p>
Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014-2022
<p>This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.</p>
Joint space calibration data for dVRK Si
<div> <div># Data for dVRK Si tool calibration</div> <div>Four joints (Joint 3, 4, 5 and 6) are calibrated. All data is .csv files. Each joint has 15 groups of data used for training and validating during training, stored in the folder "Si_Joint?". </div> <div> </div> <div> <div> <div>Testing set is stored in the folder "Test_dataset", with Joint index in their file names.</div> </div> </div> <div> </div> <div>For both training dataset and testing set, each file has two columns. The first one is the commands given to the robot, which is the output of the network. The second one is the real joint angle measured corrosponding to the commands, which is the input of the network.</div> <div> </div> <div>All data is this data set is collected with the same permanent cautery spatula.</div> <div> </div> <div>Note: This is the raw dataset. Data cleanning is probably needed based on the usage.</div> </div>
Dataset for Automatic Calibration of Microproperties for 3D Parallel Bond Model of Ultra-Deep Carbonate Rocks and the Influence of Confining Pressure on Crack Propagation Patterns
<p>The data set is composed of results of three-dimensional (3D) Discrete Element Method (DEM) modeling performed by Xiaoyun Cheng et al., with the licensed commercial <em>Particle Flow Code </em>3D version 6.0 (PFC3D 6.0) from Itasca Consulting Group, Ltd. Part of the Figures were made with Origin Pro, Version 2021. OriginLab Corporation,Northampton, MA, USA. Part of the Figures were made with ParaView, Version 5.13.1.</p>
Online hydraulic data from full scale CS#3 DWDN for model calibration
<p>Online hydraulic data including hydraulic model for the full distribution network. More than one full year of data.</p> <p>SCADA data source.</p> <p>Provide knowledge of the water distribution network and how the water moves in the system.</p>
Figure 4 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 4. Phylogenetic tree of the Unionidae+Margaritiferidae estimated from 28 concatenated individual mtDNA gene sequences, i.e. 14 from female-type (12 protein-coding and 2 rRNA genes) and 14 (12 protein-coding and 2 rRNA genes) from male-type mitochondria. Values for branch support above each node represent Bayesian posterior probabilities percentage/ maximum likelihood bootstrap.
Figure 3 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 3. Phylogenetic tree of the Unionidae+Margaritiferidae estimated from 14 concatenated individual mtDNA gene sequences (12 protein-coding and 2 rRNA genes). Values for branch support above each node represent Bayesian posterior probabilities percentage/maximum likelihood bootstrap support. *Supported values ≥ 95 are represented by an asterisk.
Figure 1 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 1. Recent multi-locus phylogenetic hypotheses on Gonideinae sensu Pfeiffer et al. (2019). Vertical bars indicate subfamilies recognized in respective publications. Note that Froufe et al. (2020) adopted a new systematic framework with three instead of two family-group levels, and thus, traditional tribes (ending -ini) are considered subtribes (ending -ina) in that study.
Figure 6 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 6. Relationship between (A) mean Ka/Ks and substitution rate (μ) per female-type (full circles) and male-type (empty circles) mtDNA protein-coding gene; and (B) differences between male- and female-type K a /K s and μ per proteincoding mtDNA gene.
Figure 2 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 2. Gene maps of the F- and M-type mitochondrial genomes of Lens contradens, Physunio superbus, Hyriopsis bialata and Rectidens sumatrensis. Genes positioned inside the circle are encoded on the heavy strand, and genes outside the circle are encoded on the light strand. Colour codes: small and large ribosomal RNAs (red); transfer RNAs (purple); M-orf, F-specific open reading frame (yellow); M-orf, M-specific open reading frame (yellow); protein-coding genes (green).
Figure 5 in Mitogenomic phylogeny and fossil-calibrated mutation rates for all F- and M-type mtDNA genes of the largest freshwater mussel family, the Unionidae (Bivalvia)
Figure 5. Fossil-calibrated ultrametric chronogram of the Unionidae calculated under a lognormal relaxed clock model and a Yule process speciation implemented in BEAST v.1.10.1 and obtained for the complete F-type mitogenome data set. The newly sequenced tribe-level taxa are coloured red. An outgroup sample (Margaritiferidae) has been removed for better visualization (but see original BEAST tree in Supporting Information, Fig. S1A). Bars indicate 95% confidence intervals of the estimated divergence times between lineages (Mya). Black numbers near nodes are mean ages (Mya). Colour labels indicate the F-mtDNA gene order (UF1, UF2, and UF3). Stratigraphic chart according to the International Commission on Stratigraphy v.2018/08 (www.stratigraphy.org). Abbreviations: J, Jurassic; K, Cretaceous; N, Neogene; Pg, Palaeogene; Q, Quaternary.
Miniature iron-carbon eutectic point crucible for the calibration of thermometers
<p>The article presents the design, construction and evaluation of a miniature graphite iron-carbon eutectic point crucible for the calibration of thermometers. These are either contact such as thermocouples or non-contact such as infrared thermometers. The double wall of the crucible protects its structure in case of cracks in graphite that can appear due to thermal expansion or eutectic adhesion. Such design proved robust – even after almost 100 melting realizations, the crucible does not show significant signs of damage. Performance of the crucible was confirmed with several realized plateaus at three different furnace setpoints. Results of these measurements agree with previously published findings. The measured melting point temperature was 1153.81 °C and the achieved expanded calibration uncertainty of a type R thermocouple was 0.2 °C.</p>
Upscaled and calibrated GONG and MDI magnetograms via Deep Learning
<p>Upscaled GONG and MDI magnetograms between January and April of 2001 via Deep learning.</p> <p>This dataset was obtained using the converter softwared published in this DOI: https://doi.org/10.5281/zenodo.3750372</p> <p>Currently GONG magnetograms were made only for the Mauna Loa observatory. Both GONG and MDI are upscaled to multiple integers of their original resolution.</p> <p> </p>
Using Powder Diffraction Patterns to Calibrate the Module Geometry of a Pixel Detector
<p>Powder diffraction data and jupyter notebooks to accompany the publication: </p> <p>"Using Powder Diffraction Patterns to Calibrate the Module Geometry of a Pixel Detector"</p> <p><a href="https://sciprofiles.com/profile/142400">Jonathan P. Wright</a>, <a href="https://sciprofiles.com/profile/author/Wjg3TE9sVlJleUs2bC9IaVdNeXczVFlwK2p6eW9JTWhoREJiSEZnaWw1TT0=">Carlotta Giacobbe</a> and <a href="https://sciprofiles.com/profile/author/V3JYR2UvT1pjTFdPMWF6Y0pidGdNcHlaQndxMHJOK3pNTkFaRmZaMkU5UT0=">Eleanor Lawrence Bright</a></p> <p><em>Crystals</em> <strong>2022</strong>, <em>12</em>(2), 255; <a href="https://doi.org/10.3390/cryst12020255">https://doi.org/10.3390/cryst12020255</a></p>
Figure 4. Time-calibrated phylogeny from BEAST2 in Origin and evolution of the Haustoriidae (Amphipoda): a eulogy for the Haustoriidira
Figure 4. Time-calibrated phylogeny from BEAST2. Green diamonds represent calibration points: 1, closure of the Okefenokee Trough (1.75 Mya); 2, proposed migration to Europe by H. arenarius (~5 Mya); 3, Pontocaspian gammarid clade radiation (9–83 Mya); 4,Niphargidae–Pseudoniphargidae split (38–215 Mya); 5, Crangonyctidae-Pseudocrangonyctidae split (38–215 Mya).
Patch-clamp dataset (SyncroPatch384PE) for control variants used in a calibrated functional patch clamp assay to enhance clinical variant interpretation in KCNH2-related long QT syndrome
<p><span>Modern sequencing technologies have revolutionised our detection of gene variants. However, in most genes, including <em>KCNH2</em>, the majority of missense variants are currently classified as variants of uncertain significance (VUS). The aim of this study </span><span class="normaltextrun"><span>was to investigate the utility of an automated patch-clamp assay for aiding clinical variant classification in the <em>KCNH2 </em>gene. </span></span><span>The assay was designed according to recommendations proposed by the ClinGen Sequence Variant Interpretation Working Group. Thirty-one variants (17 pathogenic/likely pathogenic, 14 benign/likely benign) were classified internally as variant controls. They were heterozygously expressed in Flp-In HEK293 cells for assessing the effects of variant on current density and channel gating in order to determine the sensitive and specificity of the assay. All 17 pathogenic variant controls had reduced current density and 13/14 benign variant controls had normal current density, which enabled determination of normal and abnormal ranges for applying moderate or supporting evidence strength for VUS reclassification. Inclusion of <em>KCNH2</em> functional assay evidence enabled us to reclassify 6 out of 44 VUS as likely pathogenic. The high-throughput patch clamp assay can provide moderate strength evidence for clinical interpretation of clinical <em>KCNH2</em> variants and </span><span>demonstrates the value of developing automated patch clamp assays for functional characterisation of ion channel gene variants.</span></p>
Root Cause Analysis Calibration Data
<p>This dataset contains three parts:</p> <ul> <li><strong>sizeEvolution.tar</strong>: Measurement data of relative standard deviations of generated call trees</li> <li>RCA strategy data: <strong>strategy-COMPLETE.tar</strong>, <strong>strategy-UNTIL_SOURCE_CHANGE.tar</strong>, <strong>strategy-LEVELWISE.tar</strong>: Measurement data of root cause analysis of example performance differences of 1.0%, 2.0%, 3.0% and 5.0% for three RCA strategies</li> <li><strong>extract.sh</strong>: Script for unpacking the RCA strategy data</li> <li><strong>RCA-strategy-results.tar.xz</strong>: The result data of the analysis</li> <li><strong>UNTIL_SOURCE_CHANGE_2_1.010.pdf </strong>and <strong>UNTIL_SOURCE_CHANGE_8_1.010.pdf</strong>: Two example files, showing how the F<sub>1</sub> score declines with increasing tree depth.</li> </ul> <p>Thereby, the measurability of root causes of performance changes based on the effect size and measurement strategy and configuration can be estimated.</p> <p>To execute the analysis of the data, execute the following steps:</p> <ul> <li>Download everything to the folder $DATA (eg. ~/Downloads/data/).</li> <li>Extract the data by running ./extract.sh in this folder.</li> <li>Analyse the data by running scripts/analysis_strategy/localStrategyComparison.sh $DATA from the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>, where $DATA is the folder of the data. This will yield pdf result files like given in RCA-strategy-results.tar.xz.</li> </ul> <p>To execute the measurements, use the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>.</p> <p>The measurement data were obtained by execution of https://github.com/DaGeRe/precision-experiments-rca/ on Java 1.8.0_312 running on Ubuntu 20.04 and on i7-6700 @ 3.40 GHz.</p> <p> </p>
Characterisation and calibration of PM sensors at high temporal resolution
<p>This repository contains the data used for the Chapter 7 of my PhD thesis:</p> <blockquote> <p>Bulot, Florentin (2022) Systematic studies of commodity particulate matter air pollution sensors. <em>University of Southampton, Doctoral Thesis</em>, 272pp. http://eprints.soton.ac.uk/id/eprint/458166</p> </blockquote> <p>It contains three files:</p> <ul> <li>fidas_10s.csv - contains the PM concentration data from the Fidas 200S</li> <li>rh_temperature.csv - contains the relative humidity and temperature data recorded by each of the SHT35 sensors in each air quality monitor</li> <li>sensors_10s_avg.zip - a zip file containing sensors_10s_avg.csv which contains the PM concentration data measured by the commodity PM sensors from Plantower PMS5003 and Sensirion SPS30 models</li> </ul>
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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.