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1,211 results for “Instruments”
Appendix Data for Manuscript : Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy
<p>Appendix Data for Manuscript 'Application of OSL surface exposure dating with the use of two-dimensional OSL laser scanning instruments and energy-dispersive x-ray spectroscopy'.</p>
DIB _Dataset for the psychometric properties of the construction of a verbal aptitude test instrument to assess prospective high school students' majors
<p>The dataset consists of raw data from the response to the construct resulting from the development of a verbal aptitude test instrument and the results of data analysis using the Rasch model analysis approach.</p>
Brightness Temperature Spectra 400-1200 cm**-1 from satellite METEOR-29 instrument SI-1 in February 1979 along with radiative transfer simulations from 4 different reanalyses, clear scenes only over ocean
<p>This dataset is published in support of a tentative journal publication in a peer-reviewed journal. The full data record is scheduled for release under DOI:10.15770/EUM_SEC_CLM_0086</p>
Dataset for: CAT on MOUSE: Control and Automation of Temperature for Single-Sided NMR Instruments such as NMR-MOUSE
<p>Dataset for manuscript: </p> <p><a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/full/10.1002/mrc.5376">Mailhiot, S., Mankinen, O., Li, J., Kharbanda, Y., Telkki, V., & Urbańczyk, M. CAT on MOUSE: Control and automation of temperature for single-sided NMR instruments such as NMR-MOUSE. <em>Magnetic Resonance in Chemistry</em>. https://doi.org/10.1002/mrc.5376</a></p> <p> </p> <p>ProcessAll.ipynb is a Jupyter notebook that recreates Figures 2 and 3 from the manuscript using raw data.</p> <p>Folder: ManualThermometerMeausurements contains photographic documentation of temperature measurements using external thermometers.</p>
DIB_Dataset for the psychometric properties of the construction of a verbal aptitude test instrument to assess prospective high school students' majors
<p>The dataset consists of raw data from the response to the construct resulting from the development of a verbal aptitude test instrument and the results of data analysis using the Rasch model analysis approach.</p>
Evolution of Teamwork Quality Instruments in Agile Software Development: A Systematic Literature Review
<p>Suplemmentary Material of the article: Evolution of Teamwork Quality Instruments in Agile Software Development: A Systematic Literature Review</p>
A case study for measuring the relativistic dipole of a galaxy cross-correlation with the Dark Energy Spectroscopic Instrument: Data Repository
<p>This repository contains the synthetic catalogue for the DESI Bright Galaxy Survey produced wit the N-body code <em>gevolution</em>, which is analysed in the manuscript "<a href="https://arxiv.org/abs/2306.04213">A case study for measuring the relativistic dipole of a galaxy cross-correlation with the Dark Energy Spectroscopic Instrument</a>", as well as the raw data of the analysis results. The catalogue "catalogue.csv.bz2" is in the CSV format and can be directly read using the pandas library of python, for example. The columns in the catalogue contain the following information:</p> <p>0. Column index<br> 1. Comoving coordinate x (in units of Mpc/h)<br> 2. Comoving coordinate y (in units of Mpc/h)<br> 3. Comoving coordinate z (in units of Mpc/h)<br> 4. Observed redshift<br> 5. Cosine of the observed polar angle measured with respect to the axis pointing in the direction (1,1,1) along the box diagonal (the original comoving coordinate system has been rotated with an intrinsic z-y-z Euler rotation, first rotating along the z-axis with <span class="math-tex">\(\phi_1 = \pi/4\)</span>, then rotating along the new y axis with <span class="math-tex">\(\theta_2 = \mathrm{arccos}(1/\sqrt{3})\)</span> and setting the final rotation angle to zero, <span class="math-tex">\(\phi_3 = 0\)</span>; hence to get the unperturbed mu and phi coordinates, one needs to rotate the comoving x, y and z coordinates with the corresponding inverse Euler rotation matrix)<br> 6. Observed azimuthal angle phi measured with respect to axis pointing in the direction (1,1,1) along the box diagonal (the original comoving coordinate system has been rotated with an intrinsic z-y-z Euler rotation, first rotating along the z-axis with <span class="math-tex">\(\phi_1 = \pi/4\)</span>, then rotating along the new y axis with <span class="math-tex">\(\theta_2 = \mathrm{arccos}(1/\sqrt{3})\)</span> and setting the final rotation angle to zero, <span class="math-tex">\(\phi_3 = 0\)</span>; hence to get the unperturbed mu and phi coordinates, one needs to rotate the comoving x, y and z coordinates with the corresponding inverse Euler rotation matrix)<br> 7. Logarithm of the luminosity in units of solar luminosity <span class="math-tex">\(L_\odot\)</span><br> 8. Observed flux (in units of <span class="math-tex">\(L_\odot/\mathrm{Mpc}^2\)</span>)<br> 9. Number of particles in each object, plus a uniform noise between 0 and 1. This quantity is the proxy of the mass that was used to assign luminosity to the objects.<br> 10. Flag that identifies the selected objects within each redshift bin. The Flag is 0 for objects not included in the catalogue, and equal to the mean redshift of the bins <span class="math-tex">\(\bar{z} = 0.25, 0.35, 0.45\)</span> for the selected objects. <br> 11. Flag that identifies the bright and faint objects for case 1 (50% bright, 50% faint, no flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects.<br> 12. Flag that identifies the bright and faint objects for case 2 (90% bright, 10% faint, no flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects.<br> 13. Flag that identifies the bright and faint objects for case 3 (50% bright, 50% faint, with flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects.<br> 14. Flag that identifies the bright and faint objects for case 4 (90% bright, 10% faint, with flux limit). Flag = 0 for non-selected objects, Flag = 1 for bright objects, Flag = 2 for faint objects.</p> <p>The example script "example-script.ipynb" demonstrates how to query the catalogue to extract e.g. the redshift distribution of the objects for the different cases considered in Table 4 of the manuscript.</p> <p>Additionally, the measured dipole data vectors with the jackknife covariance matrices (<span class="math-tex">\(\mathrm{cov}^\mathrm{JK}_{ij}\)</span>), as well as the theoretical data vectors with the theoretical measurement covariance (<span class="math-tex">\(\mathrm{cov}^\mathrm{th}_{ij}\)</span>) and the theoretical prediction covariance (<span class="math-tex">\(\mathrm{cov}^\mathrm{pred}_{ij}\)</span>) are provided within this repository:</p> <ul> <li>In the measurements.tar.gz archive, the measured data for the flux-limited case can be found in the /flux-limit subdirectory, while the data for the case without flux-limit is in /no-flux-limit. The data vectors are named "dipole_<redshift bin>_<% of bright galaxies>.txt. The first column in each of those files is the separation bin <span class="math-tex">\(d\)</span> in <span class="math-tex">\(\mathrm{Mpc}/h\)</span>, the second column is the mean two-point correlation function dipole of the 100 jackknife subsamples, and the third column is the square root of the diagonal part of the jackknife covariance matrix (<span class="math-tex">\(\mathrm{cov}^\mathrm{JK}_{ij}\)</span>). The corresponding jackknife covariance matrices are named "cov_<redshift bin>_<% of bright galaxies>.txt.</li> <li>In the theory.tar.gz archive, the theoretical predictions are found in /flux-limit for the case with flux limit and in /no-flux-limit for the case without flux limit. The theoretical data vectors are named "dipole_<% of bright galaxies>B_z<redshift bin>_gevol.dat". The first column in each of those files is the separation bin <span class="math-tex">\(d\)</span> in <span class="math-tex">\(\mathrm{Mpc}/h\)</span>, the second column the theoretical two-point correlation function dipole and the third column is the square root of the diagonal part of the theoretical prediction covariance matrix (<span class="math-tex">\(\mathrm{cov}^\mathrm{pred}_{ij}\)</span>) . The theoretical measurement covariance matrices are named "covariance_Lp6_<% of bright galaxies>B_z<redshift bin>_gevol.dat", and the theoretical prediction covariance matrices are named "covtheo_<% of bright galaxies>B_z<redshift bin>_gevol.dat". </li> </ul> <p>The example script also demonstrates how to use these data files to reproduce plots of the dipole measurement vs the theoretical prediction like in Figures 6, 7, C1 and C2. The archives need to be unpacked before using the example script to access the data.</p>
Why is photovoice a good instrument to work SGRV?
<p>In this video Aloe Cubero (URV), PhD Fellow at the pedagogy department, gives some clues about the suitability of the photovoice methodology to address gender-related violence in the university context. This presentation has been elaborated by Aloe Cubero and Barbara Biglia (URV) in the framework of the Project Mainstreaming Sexual and Gender-Related Violence sensibilities into university courses through Photovoice experiences (2020 INDOV 00003).</p> <p>Project link: http://www.innovaciondocentegenero.eu/photovoice/ca/el-projecte/ </p>
Data set for the publication " Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration"
<p>This is dataset for paper published:</p> <p>Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. <em>Energies</em> <strong>2023</strong>, <em>16</em>, 5012. https://doi.org/10.3390/en16135012</p>
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
<p>Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane.</p> <p>Figure 6: Astrometric trends<br> trend.dat</p> <p>Figure 7: Deformation residuals<br> gfa-south-west.dat</p> <p>Figure 10: Turbulence<br> e2c.dat<br> b2c.dat</p> <p>Figure 11: Turbulence Corrected<br> turbcorr.dat</p> <p>Figure 13: Quiver residuals<br> quiver-R.dat</p> <p>Figure 14: Dither offsets<br> dither20220518-R.dat</p> <p>Figure 15: Chromatic residuals<br> chromatic.dat</p> <p>Figure 16: Temperature dependence<br> tempscale.dat<br> </p>
Polish validation data of the MASC (multisource assessment of children's social competence) instrument
<p>Dataset of the published open access article: Wiza, A., Koszałka-Silska, A., Jaguszewski, M. <em>et al.</em> Polish adaptation of multisource assessment of children’s social competence. <em>Sci Rep</em> <strong>13</strong>, 12128 (2023). https://doi.org/10.1038/s41598-023-39292-2</p> <p> </p>
Simulation outputs of DynSoM model and instrumental data for Samoylov Island's polygonal tundra
<p>These datasets include the observational data, the input parameters, and the Dynamic Soil Model (DynSoM) outputs of a polygonal tundra arctic environment located in the quaternary sediments of Samoylov island, with and without considering heave due the segregation of ice. The data is gathered (SamValidation.mat) and simulated at the centre and rim of one of the polygons, which correspond to wet and dry tundra conditions respectively. This dataset Is used as a primary data input for the simulation and output for the figures of the article "Mechanistic Modelling of Segregated Ice and Soil Heave Dynamics in Artic Soils" by Xavier Rodriguez-Lloveras, Melanie A. Thurner Philipp Porada & Christian Beer, Universität Hamburg. Submitted to "The Journal of Advances in Modeling Earth Systems (JAMES)" on February 2023.</p> <p>The datasets are published as MATLAB matrix format and require adequate MATLAB (or equivalent) software for visualization.</p> <p>The validation data (SamValidation.mat) is a subset of the data published by Boike et al. (2019, doi:10.1594/PANGAEA.905236) adapted to the DynSoM model requirements.</p>
"Balafon", a musical instrument
ID no.: MOK – M.O./A/20(a-c) Museum: African Museum in Olkusz https://muzea.malopolska.pl/en/objects-list/1908 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Traumatic Brain Injury (TBI) Screening Instruments
ClinicalTrials.gov study NCT00875329. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Use of Real Time Instrumentation (RTI) in Total Shoulder Arthroplasty
ClinicalTrials.gov study NCT01905241. IPD Sharing: NO. Countries: 1. Publications: 1.
The European Robotic Spinal Instrumentation (EUROSPIN) Study
ClinicalTrials.gov study NCT03398915. IPD Sharing: UNDECIDED. Countries: 5. Publications: 13.
Impacts of Inspection During Instrument Insertion on Colonoscopy Quality
ClinicalTrials.gov study NCT03444090. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparison of Glenoid Component Position Using Intelligent Reusable Instrument (IRI) vs Standard Surgical Instruments
ClinicalTrials.gov study NCT01801241. IPD Sharing: NO. Countries: 1. Publications: 2.
Compuflo Instrument for Thoracic ES Identification
ClinicalTrials.gov study NCT03376256. IPD Sharing: NO. Countries: 1. Publications: 8.
Custom Cutting Block Instrument vs Regular Instrumentation Total Knee Replacement (TKR)
ClinicalTrials.gov study NCT03416946. IPD Sharing: NO. Countries: 1. Publications: 1.
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.