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36 results for “Metrology”

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zenodo32/100

Data for Advances in Quantum Metrology with Dielectrically Structured Single Photon Sources Based on Molecules

Open the record for dataset details and reuse information.

opencc-by-4.0Sep 2024View details →
ClinicalTrials.gov32/100

Validation of Metrological Properties of Lymphoqol

ClinicalTrials.gov study NCT01922635. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Metrological Characteristics of the Inertial Unit "FOX HiKoB©" in Comparison With the Reference System for the Adaptive Trigger System "Functional Electrical Stimulation" of Foot Elevators in Hemipleg

ClinicalTrials.gov study NCT02598154. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Evaluation of the Metrological Reliability of Connected Objects in the Measurement of Medical Physiological Parameters

ClinicalTrials.gov study NCT03803098. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

Dataset for Noisy quantum metrology enhanced by continuous nondemolition measurement

<p>Datasets used for generating the figures.</p> <p>Please see included <strong>README.md</strong>.</p>

opencc-by-4.0May 2020View details →
zenodo28/100

Metrological generation of SI-traceable gas-phase standards and reference materials for (semi-) volatile organic compounds

<p>EN&nbsp;16516 sets specifications for the determination of emissions into indoor air from construction products. Reliable, accurate and SI-traceable measurement results of the emissions are the key to consumer protection. Such measurement results can be obtained by using metrologically traceable reference materials. Gas-phase standards of volatile organic compounds (VOCs) in air can be prepared by a variety of dynamic methods according to the ISO 6145 series. However, these methods are not always applicable for semi-volatile organic compounds (SVOCs) due to their high boiling point and low vapour pressure. Therefore, a novel dynamic gas mixture generation system has been developed. With this system gas-phase standards with trace level VOCs and SVOCs in air can be prepared between 10 nmol mol<sup>-1</sup> and 1000 nmol mol<sup>-1</sup>. The VOCs and SVOCs in this study have normal boiling points ranging from 146 &deg;C to 343 &deg;C. Metrologically traceable reference materials of the gas-phase standard were obtained by sampling of the VOC gas-phase standard into Tenax TA&reg; sorbent material in SilcoNert&reg; coated stainless steel tubes. Accurately known masses between 10 ng and 1000 ng per VOC were sampled. These reference materials were used to validate the dynamic system. Furthermore, the storage and stability periods of the VOCs in the reference materials were determined as these are crucial characteristics to obtain accurate and SI-traceable reference materials. In a Round Robin Test (RRT), the reference materials were used with the aim of demonstrating the feasibility of providing SI-traceable standard reference values for SVOCs for interlaboratory comparison purposes. Based on the results from the validation, the storage and stability studies and the RRT, gas-phase standards and reference materials of VOCs and SVOCs with relative expanded uncertainties between 5 % and 12 % (<em>k</em> = 2) have been developed. These reference standards can be used as calibrants, reference materials or quality control materials for the analysis of VOC emissions.</p> <p>In this repository data from the validation, the storage and stability studies and the RRT are published which is used for the manuscript &quot;Metrological generation of SI-traceable gas-phase standards and reference materials for (semi-) volatile organic compounds&quot; published in Measurement Science and Technology.</p> <p>The following files can be found in this repository:</p> <p>- The following files contain data from the validation.Variation1_day1, Variation1_day2, Variation1_day3,&nbsp;Variation2_day1, Variation2_day2, Variation2_day3,&nbsp;Variation3_day1, Variation3_day2, Variation3_day3,&nbsp;Variation4_day1 and&nbsp;Variation4_day2.&nbsp;During the validation&nbsp;4 different variations have been used and these have been tested on 3 or 2 days.&nbsp;The data contain information about the settings to obtain the gas-phase standard, reference materials and&nbsp;spiked tubes and the analysis data.&nbsp;</p> <p>- The &quot;ANOVA validation data&quot; file contains the ANOVA calculations used to obtain the&nbsp;repeatability standard deviation&nbsp;and reproducibility standard deviation.</p> <p>- The figure &quot;Chromatogram VOCs used for the validation&quot; is a copy of a chromatogram</p> <p>- The file &quot;Storage and stability studies data&quot; contains formation about the settings to obtain the gas-phase standard, reference materials and&nbsp;spiked tubes and the analysis data.&nbsp;</p> <p>- The figure &quot;Chromatogram VOCs used for the storage and stability studies&quot; is a copy of a chromatogram.</p> <p>- The file &quot;RRT data&quot;&nbsp;contains information about the settings to obtain the gas-phase standard, reference materials and&nbsp;spiked tubes and the analysis data.&nbsp;</p> <p>- The file &quot;Report Homogeneity RRT&quot; is a report on the homogeneity study performed during the RRT.</p> <p>- The figure &quot;Chromatogram VOCs used for the RRT&quot; is a copy of a chromatogram.</p> <p>- The file &quot;VSL-Tubes-results-RR18-a&quot;. The dataset contains the results of a round robin test which tested the proficiency to analyse volatile organic compounds (VOC) of laboratories dealing with the determination of emissions from building materials. For this analysis check the participants were asked to send own sampling tubes filled with the adsorbent Tenax TA<sup>&reg;</sup>, which were loaded with a reference gas mixture containing the compounds: styrene [100-42-5], n-decane [124-18-5], R(+)limonene [5989-27-5], 1,2,4-trimethylbenzene [95-63-6], decamethylcyclopentasiloxane [541-02-6], dimethylphthalate [131-11-3], dibutylphthalate [84-74-2], naphthalene [91-20-3], n-hexadecane [544-76-3] and eicosane [112-95 8]. These tubes were sent back to the participants for immediate analysis. The list of compounds was disclosed in advance.&nbsp;For all statistical evaluations, the mean values of the laboratories were used instead of all single measurement values.&nbsp;<strong>Expert laboratories:</strong> Laboratories who had successfully participated in the three former round robin tests (2014; 2016; 2018) organized by BAM were defined as expert laboratories. Their reported data were used to calculate the reference mean (ref. mean) and the reference standard deviation (ref st. dev.).&nbsp;<strong>Reference mean:</strong> The reference mean is determined as the robust mean value using the Hampel estimator (see Section C.5.3 in ISO 13528) on the basis of the results of the expert laboratories. It is a weighted arithmetic mean, with lower weights for outlying values.&nbsp;<strong>Standard deviation for proficiency assessment:</strong> The reference standard deviation for proficiency assessment is determined as the robust reproducibility standard deviation according to the Q method (see Section C.5.2 in ISO 13528) based on the results of the expert laboratories.</p>

opencc-by-4.0Nov 2022View details →
zenodo24/100

Enhanced Measurement Accuracy for Nanostructures Using Hybrid Metrology

<p>Raw data for the article&nbsp;Enhanced Measurement Accuracy for Nanostructures Using Hybrid Metrology</p>

opencc-by-4.0Jan 2022View details →
zenodo24/100

Example for USA metrological years 2020 and 2022 results data sets and post processing python code

<p>The files contain LCF model output data for 2020 and 2022 metrological years in the US as well as a python post-processing code to aggregate the reults of these files.</p>

opencc-by-4.0Aug 2024View details →
zenodo24/100

FACTORS ENSURING THE QUALITY AND EFFICIENCY OF METROLOGICAL MEASUREMENTS

<p><em><span>This article describes metrological measurements, the science of metrology and its unique role and importance. Also comments on important factors in ensuring the quality and efficiency of measurements are presented.</span></em></p>

openOct 2024View details →
ClinicalTrials.gov24/100

Changes in Invitro and ex Vivo Lens Metrology With Daily Wear Contact Lenses

ClinicalTrials.gov study NCT01100411. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Bio Metrology of Nonfibrous Mineral Particles in Bronchoalveolar Lavage Fluids

ClinicalTrials.gov study NCT03917485. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Study of the Metrological Properties of Two Assessment Grids of the Driving Capacity After a Cerebrovascular Accident (ROADTRIP)

ClinicalTrials.gov study NCT03977506. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Metrology to Enable Rapid and Accurate Clinical Measurements in Acute Management of Sepsis

ClinicalTrials.gov study NCT05338359. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo20/100

Dataset of D.-H. Chae et al., Meas. Sci.Technol 33 (2022) 065012, "Investigation of the stability of graphene devices for quantum resistance metrology at direct and alternating current"

<p>Compilation of the datasets used to generate the figures in the following journal publication:</p> <p>&quot;Investigation of the stability of graphene&nbsp;devices for quantum resistance metrology at direct and alternating current&quot;</p> <p>by&nbsp;Dong-Hun Chae,&nbsp;Mattias Kruskopf,&nbsp;Jan Kucera,&nbsp;Jaesung Park,&nbsp;Ngoc Thanh Mai Tran, Dan Bee Kim, Klaus Pierz, Martin G&ouml;tz, Yefei Yin, Pavel Svoboda, Petr Chrobok, Fran&ccedil;ois Cou&euml;do&nbsp;and F&eacute;licien Schopfer,</p> <p>Meas. Sci. Technol. 33 (2022) 065012,</p> <p>DOI:10.1088/1361-6501/ac4a1a</p>

restrictedMar 2022View details →
zenodo20/100

Datasets of Kruskopf et al., IEEE Transactions on Electron Devices 68, 3672 (2021), "Graphene QHE devices for ac and dc electrical metrology"

<p>Compilation of the datasets used to generate the figures in the following journal publication:</p> <p>&quot;Graphene quantum Hall effect&nbsp;devices for ac and dc electrical metrology&quot;</p> <p>by&nbsp;Mattias Kruskopf, Stephan Bauer, Yaowaret Pimsut, Atasi Chatterjee, Dinesh K. Patel,<br> Albert F. Rigosi , Randolph E. Elmquist,&nbsp;Klaus Pierz, Eckart Pesel, Martin G&ouml;tz, and J&uuml;rgen Schurr,</p> <p>IEEE Trans. on Electron Devices 68, 3672 (2021).</p> <p>DOI:&nbsp;10.1109/TED.2021.3082809</p>

restrictedJul 2021View details →
zenodo16/100

Datasets of Park et al.,Meas. Sci. Technol. 33 115019 (2022), "Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology"

<p>Compilation of the datasets used to generate the figures in the following journal publication:</p> <p>&quot;Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology&quot;</p> <p>by&nbsp;Jaesung Park, Kyung-Geun Lim and Dong-Hun Chae,</p> <p>Meas. Sci. Technol. 33 (2022) 115019,</p> <p>DOI:&nbsp;<a href="https://doi.org/10.1088/1361-6501/ac8222">10.1088/1361-6501/ac8222</a></p>

restrictedSep 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record