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10,554 results for “measurements”
Tandem Tag Assay Optimized for Semi-automated in vivo Autophagic Activity Measurement in Arabidopsis thaliana roots
<p>This is demo data set for AuTToFlux, the semi-automated assay for <em>in vivo</em> autophagic activity measurement in <em>Arabidopsis thaliana</em> roots.</p> <p>The protocol and software required for the assay are available here: <a href="https://github.com/jonasoh/AuTToFlux">https://github.com/jonasoh/AuTToFlux</a></p>
Air-sea gas transfer velocities measured at wind speeds up to 85m/s in fresh water and seawater
<p>This data set contains gas transfer velocities of 12 tracers (CF4, He, SF6, He, Kr, Pentafluoroethane, Xe, Acetylene, Hexafluorobenzene, Difluoromethane, 1,4-Difluorobenzene, Dimethyl Sulfide, Methyl Acetate) measured in the Kyoto High Speed Wind-Wave tank with fresh water and modeled seawater and the Miami SUSTAIN wind-wave tank with seawater at wind speeds up to 85m/s.</p> <p> </p>
Example data for Drone VIdeo Measure program
<p>This directory contains two videos and matching flight log files acquired by a DJI Phantom 4 Pro converted to csv.<br> The videos and flight logs are matched as follows:<br> `DJI_0004.MOV` are covered by `DJIFlightRecord_2018-07-04_[10-42-34].csv`,<br> `DJI_0013.MOV` are covered by `DJIFlightRecord_2018-07-04_[11-19-31].csv`</p> <p>In `DJI_0004.MOV` the drone circled around a point, with the camera pointing towards the center of rotation.<br> In `DJI_0013.MOV` the drone stayed in the same location and the camera pitch was changed from looking forward to downwards.</p> <p>In addition is video of a checkerboard recorded by the drone used to calibrate the camera. (calibration.MOV)</p> <p>A screen-recording showing how to use the data is also included. (demo.mp4)</p> <p>The above files are intended to be used as example input data for the program https://github.com/egemose/DroneVideoMeasure</p> <p> </p>
Raw stable water isotope measurements in water vapour at 13.5 m a.s.l., made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset includes the raw data of stable water vapour isotope (δ18O, δ2H, deuterium excess) and water vapour mixing ratio measurements taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130. This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines.</p> <p>Two similar datasets also measuring stable water isotopes (SWIs) in water vapour were collected during the same expedition and can be distinguished from this dataset due to the height of the measurement collection (8 m a.s.l rather than 13.5 m a.s.l). The three ACE datasets of SWIs in water vapour are described and compared in Thurnherr et al. (2020).</p> <p>The calibrated dataset can be found with DOI: 10.5281/zenodo.3250790.</p> <p><strong>Dataset contents</strong></p> <ul> <li>year/month/day/HIDS2054-${year}${month}${day}-${time:Hhmmss}Z-DataLog_User.dat, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Change log</strong></p> <p><strong>v1.1</strong> - Added 13.5 m a.s.l to title of dataset to distinguish it from other similar datasets collected during the expedition. Added calibrated dataset DOI and information about other SWI datasets from ACE, to abstract. Added reference to Thurnherr et al. (2020) to README.txt. Updated citation of dataset in README.txt.</p> <p><strong>v1.0</strong> - Initial release of raw stable water isotope measurements in water vapour dataset.</p> <p><strong>Dataset license</strong></p> <p>This stable water isotope measurements in water vapour dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Raw stable water isotope measurements in water vapour at 8 m a.s.l. on the starboard side of the ship, made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset includes the raw data of stable water vapour isotope (δ18O, δ2H, deuterium excess) and water vapour mixing ratio measurements at a height of approximately 8 meters above sea level taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130-i mounted on the starboard side of the ship. L2130-i was operated only during two months in February and March 2017 from Hobart (Australia) to Cape Town (South Africa). This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines.</p> <p>Two similar datasets also measuring stable water isotopes (SWIs) in water vapour were collected during the same expedition and can be distinguished from this dataset due to the height of the measurement collection (at 8 m a.s.l and 13.5 m a.s.l). The three ACE datasets of SWIs in water vapour are described and compared in Thurnherr et al. (2020).</p> <p><strong>Dataset contents</strong></p> <ul> <li>leg*/HIDS2018-yyyymmdd-hhmmssZ-DataLog_User.dat, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw stable water isotope measurements dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0</p>
Supplementary material for "Measurement of volume change and mass transfer during serpentinisation: insights from the Oman Drilling Project" (JGR Solid Earth)
<p>The three supplementary files include one figure displaying the results of X-ray microtomography (File S1), two compilations of figures dealing with the volume change measurement (Files S2 and S3) and a table with the measured compositions in major and trace elements (Table S1).</p> <p>File S1 (Malvoisin_ds01.pdf). Result of X-ray microtomography. Olivine and Fe-brucite have a similar attenuation. The grains segmented by selecting this attenuation are displayed with a circle with a size proportional to the radius of a sphere of equivalent volume. The color of each circle depends on <em>e</em>, the aspect ratio (ratio of the length of the minimum and maximum axes of an ellipsoid fitted to each grain). The white arrow indicates the location of the main central vein. Grains near the main central vein have a lower <em>e</em> attributed to the platy habitus of Fe-brucite. The other grains are considered as olivine and used for the calculation of the extent of reaction.</p> <p>File S2 (Malvoisin_ds02.pdf). Optical photomicrographs used to calculate volume change during reaction (see main text for details about the calculation). Olivine grains (white) are surrounded by the serpentine + brucite mixture (light green to yellowish). The magnetite/clinopyroxene platelets are mapped in blue in olivine and in red in the serpentine + brucite mixture. The results of the model fitting the best the average orientation of the platelets in olivine are shown in green. The title of each photomicrograph provides the minimum and maximum estimates for volume change calculated with this model (see details about the calculation in the main text), and the size of the bottom right scale bar.</p> <p>File S3 (Malvoisin_ds03.pdf). Histograms of magnetite/clinopyroxene platelet orientation (in degree). Each histogram corresponds to a photomicrograph of File S1. The order of the histograms and the photomicrographs is the same. The orientations in the olivine grains, the serpentine + brucite mixture and for the model fitting the best the average orientation in olivine are displayed in blue, red and green, respectively. The title of the histograms provides the standard deviation of the platelet orientation in the olivine grains (STD<sub>oli</sub>), the serpentine + brucite mixture (STD<sub>ori</sub>) and calculated with the model fitting the best the orientation in olivine (STD<sub>cal</sub>).</p> <p>Table S1 (Malvoisin_ds01.xlsx). Composition in major and trace elements measured with LA-ICPMS along five profiles perpendicular to the main vein. The composition as a function of the distance to the main vein is provided. The name of the tabs indicates if the profile was acquired in spot or in continuous mode (the two modes are described in the main text).</p>
The ELF WERA stations measurements used in the paper "TGF 181010 study using extremely low frequency electromagnetic waves" by V. Marchenko, J. Mlynarczyk, M. Ostrowski, A. Kulak, O. Senchenko, J. Kubisz, A. Michalec, J. Salvador, N. Diaz
<p>The data analyzed in the paper are provided as text files containing measurements of two stations of the WERA project:</p> <p>File "TGF181010_Hylaty_201810101300.txt" - from the Hylaty station in Poland, </p> <p>File "TGF181010_Patagonia_201810101300.txt" - from the Patagonia station in Argentina.</p> <p>In each file the first column provides time, as measured in seconds since October 10, 2018, 13:00 UT. The second and third columns provide signals from NS and EW magnetic antennas. The duration of each data set is 5 min. The time accuracy for the Hylaty station is below 1 ms and for the Patagonia station up to several ms.</p>
Towards a standard procedure for the measurement of the multi-photon component in a CW telecom heralded single-photon source
<p>Single-photon sources are set to be a fundamental tool for metrological applications as well as for quantum information related technologies. Because of their upcoming widespread dissemination, the need for their characterization and standardization is becoming of the utmost importance. Here, we illustrate a strategy to provide a quantitative estimate of the multi-photon component of a single-photon source, showing the results achieved in a pilot study for the measurement of the second-order autocorrelation function <em>g</em><sup>(2)</sup>(0) of a low-noise CW heralded single photon source prototype (operating at telecom wavelength nm) realized in INRiM. The results of this pilot study, involving INRiM, NPL and PTB, will help to build a robust and unambiguous procedure for the characterization of the emission of a single-photon source.</p>
iCollections butterfly images selected for automated measurement
<p>Images of butterflies from the Natural History Museum (NHMUK) iCollections project, used for automated wing length measurement with <a href="https://github.com/machine-shop/butterfly-wings">https://github.com/machine-shop/butterfly-wings</a></p> <p>Original iCollections dataset: https://doi.org/10.5519/0038559</p> <p> </p>
Calibrated data of stable water isotope measurements in water vapour at 8 m a.s.l. on the port side of the ship, made in the austral summer of 2016/2017 around the Southern Ocean during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>This data set includes the calibrated data of stable water vapour isotope (δ18O, δ2H, deuterium excess) and water vapour mixing ratio measurements at approximately 8 m a.s.l. on the port of the ship, taken around the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometers L2120. The data provide continuous timelines of atmospheric water vapour properties in the marine boundary layer for studies of the atmospheric water cycle.</p> <p>The raw data from which this calibrated dataset originates has been published separately (Kozachek, 2020; DOI 10.5281/zenodo.3667535).</p> <p>Two other calibrated stable water isotope measurement datasets were also collected during ACE. They differ by the location of measurement on the ship: 8 m a.s.l on the starboard side (DOI: 10.5281/zenodo.3739335) and 13.5 m a.s.l (DOI: 10.5281/zenodo.3250790).</p> <p><strong>Dataset contents</strong></p> <p>Measurements on portside:</p> <ul> <li>ACE_watervapour_isotopes_SWI8-ps_1h.csv, data file, comma-separated values</li> <li>ACE_watervapour_isotopes_SWI8-ps_5min.csv, data file, comma-separated values</li> <li>cal_runs_SWI8-ps.csv, metadata, comma-separated values</li> <li>cal_flag_times_SWI8-ps.csv, metadata, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p>NaN values denote missing values which occur because of e.g., maintenance, instrument calibration, large cavity variations.</p> <p><strong>Dataset license</strong></p> <p>This calibrated stable water isotope measurements in water vapour is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Level 2 spectra of the 290 - 500 nm solar irradiance measured at Aosta - Saint Christophe by the Bentham DTMc300 with serial number 5541 in 2006 - 2019
<p>The provided dataset includes the Level 2 spectral measurements (in Watt/m<sup>2</sup>) of the solar irradiance in the range 290 - 500 nm, performed by the Bentham DTMc300 spectroradiometer with serial number 5541. The particular instrument performs automated continuous, high quality measurements at Aosta - Saint Christophe, Italy (45.7° N, 7.4° E, 570 m a.s.l.) since 2006. The Level 2 spectra are re-evaluated and homogenized and are currently available for the period 24 July 2006 - 8 July 2019. Each file contains the spectra for one day. The time (in UTC) for the measurements at 290, 400, and 500 nm is also provided for each spectral scan.</p>
CTD measurements (Conductivity, temperature and depth) in the lower Suwannee River
<p>Conductivity-Temperature-Depth recorders (CTD-Divers, SBE-26 and SBE-37) were deployed in the Lower Suwannee River in Florida. Near year-long time series were obtained through six measurement campaigns (11/23/2014-01/09/2015; 01/12/2015-03/12/2015; 03/12/2015-04/17/2015; 06/06/2015-07/21/2015; 08/08/2015-06/09/2015; 10/14/2015-11/22/2015). ASCII files and instrument location (kmz files) are provided for all deployments. </p>
Data Sets for Measuring and Modeling the Performance Configurations of Distributed DBMS
<p>These data sets contain the performance measurements and additional metadata as accompanying material for the research paper <strong>Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS</strong><em> </em>that is published in the <em>Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2020.</em></p> <p>The attached readme describes the data set structure.</p>
Data for Say it aloud: Measuring change talk and user perceptions in an automated, technology-delivered adaptation of motivational interviewing delivered by video-counsellor
<p>Two of three datasets from study where participants engaged in a spoken 'dialogue' with a pre-recorded video counsellor asking open questions to promote behaviour change. </p> <p><strong>interview length and change talk results.csv</strong> reports duration of dialogue and number of instances of change talk and sustain talk detected by human coders in each participant's speech. Transcripts of participants' speech are not uploaded because we did not request participants' consent for sharing. When designing the study, we did not know if people would feel comfortable speaking aloud to the computer; we did not want to make them feel more self-conscious by knowing their speech would shared. The data are from 16 of 18 participants; two were excluded for not talking about a goal to increase physical activity, which was a requirement of the study.</p> <p>Version 1.0 contains ratings of the number of instances of change and sustain talk, which required the coder to judge when a complex statement should be scored as containing more than one instance. Version 2.0 was created in response to a reviewer's suggestion that coders should simply score the presence or absence of change and sustain talk. The new dataset presents the agreed scoring of two independent coders who scored whether change or sustain talk were present in each participant's response to each question posed by the video-counsellor. </p> <p><strong>Questionnaire Units of Analysis.docx</strong> contains participants' written responses to an evaluation questionnaire completed one week after the interview. These responses were the raw material for thematic analysis. This dataset contains responses from 18 participants, including participants 7 and 11 who did not talk about a goal of physical activity when interacting with the video-counsellor.</p> <p> </p>
Extended data for Manuscript: Precision medicine implementation and research-practice partnerships: implications of measurement scale differential item functioning (DIF)
<p>This is the extended data for the manuscript submitted to F1000 Research titled:</p> <p>Precision medicine implementation and research-practice partnerships: implications of measurement scale differential item functioning (DIF).</p> <p>File 1 is the redacted survey responses from a card sort exercise carried out to find out how the study participants sorted and ranked various measures of factors thought to influence precision medicine implementation at health systems level.</p> <p>File 2 consists of the study package as described in the article</p>
Supraglacial debris temperature measurements from Ngozumpa Glacier, Nepal (2001–2002)
<p>Supraglacial debris temperature measurements from a site 1.5 km from the terminus of Ngozumpa Glacier, Nepal, collected between 13 November 2001 and 12 October 2002. Debris temperatures were measured every 30 minutes at six thermistors within the debris layer at depths of 0.0 m, 0.22 m, 0.33 m, 0.45 m, 0.65 m and 0.77 m from the debris surface. The estimated thickness of the debris layer at this site was 2.20 m.</p> <p>Measurements were made using Gemini thermistors and Tinytag Plus TGP-0073 loggers with a stated accuracy of ±0.3°C at 0°C.</p> <p>These data were first presented in: Nicholson L and Benn DI (2013) Properties of natural supraglacial debris in relation to modelling sub‐debris ice ablation. <em>Earth Surface Processes and Landforms</em> 38(5), 490–501 (doi:10.1002/esp.3299)</p> <p> </p> <p> </p> <div class="wayback1996-RTmodal"> <div> </div> <div> </div> × <div> </div> <div> </div> <div> </div> </div>
Fitness measures of maternal transplants (seed fitness) and of the F1 generation (rosette diameter) of three translocated populations of Arnica montana in southern Belgium
<p>Fitness data measured in the framework of a genetic monitoring of translocated populations of the critically endangered Arnica montana. See Van Rossum et al. (2020) in Molecular Ecology for more details.</p>
An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability - Data, Code and Documentation
<p>Release version of the data, code and documentation used in and generated by our data analysis and literature search to ensure reproducibility, repeatability, and transparency, to be published alongside our paper "An Empirical Validation of Cognitive Complexity as a Measure of Source Code Understandability".</p>
Data from: Estimating transmission dynamics and serial interval of the first wave of COVID-19 infections under different control measures: A statistical analysis in Tunisia from February 29 to May 5, 2020
<p>Background: Describing transmission dynamics of the outbreak and impact of intervention measures are critical to planning responses to future outbreaks and providing timely information to guide policy makers decision. We estimate serial interval (SI) and temporal reproduction number (R<sub>t</sub>) of SARS-CoV-2 in Tunisia.</p> <p>Methods: We collected data of investigations and contact tracing between March 1, 2020 and May 5, 2020 as well as illness onset data during the period February 29-May 5, 2020 from National Observatory of New and Emerging Diseases of Tunisia. Maximum likelihood (ML) approach is used to estimate dynamics of R<sub>t</sub>.</p> <p>Results: 491 of infector-infectee pairs were involved, with 14.46% reported pre-symptomatic transmission. SI follows Gamma distribution with mean 5.30 days [95% CI 4.66-5.95] and standard deviation 0.26 [95% CI 0.23-0.30]. Also, w<span>e estimated large changes in </span>R<sub>t</sub><span> in response to the combined lockdown interventions. The </span>R<sub>t</sub><span> moves from </span>3.18 [95% CI 2.73-3.69] <span>to 1.77 [95% CI 1.49-2.08] with </span>curfew<span> prevention measure, and under the epidemic threshold (0.89 </span>[95% CI 0.84-0.94]) by national lockdown measure<span>.</span></p> <p><span>Conclusions: </span>Overall, our findings highlight contribution of <span>interventions</span> to interrupt transmission of SARS-CoV-2 in Tunisia.</p>
Data from: Scented nectar and the challenge of measuring honest signals in pollination
<p>1. Nectar scents are thought to function as honest signals of reward used by pollinators, but this hypothesis has rarely been tested. 2. Using <i>Penstemon digitalis</i>, we examined honest signalling of the nectar volatile (S)-(+)-linalool and pollinator responses to linalool in both field and laboratory settings. Because our previous work showed that linalool emission was associated with higher female fitness and that nectar is scented with linalool, we hypothesized that linalool was an honest signal of nectar reward. To assess honesty, we measured linalool-nectar associations including nectar volume, sugar amount, concentration, and production rate for inflorescences and flowers in several populations. We also assessed whether Bombus impatiens, the main pollinator of P. digitalis at our sites, can use linalool as a foraging signal. We supplemented real or artificial flowers in the field and lab with varying linalool-nectar combinations to measure pollinator behavioural responses. 3. We found that an inflorescence's linalool emissions could be used to predict nectar rewards in P. digitalis, but this was driven by indirect associations with display size rather than directly advertising more profitable flowers. For flowers within inflorescences there was also no evidence for an association between signal and reward. Field tests of bumblebee behaviour were inconclusive. However, in laboratory assays bumblebees generally used variation in linalool emissions to choose more profitable flowers, demonstrating they can detect differences in linalool emitted by P. digitalis and associate them with reward profitability. These results suggest experiments that decouple display size, scent and reward are necessary to assess whether (and when) bees prefer higher linalool emissions. Bees preferred nectars with lower linalool concentrations when linalool flavoured the nectar solution, suggesting potential for conflicting pressures on scent emission in the field. 4. Synthesis: Our results highlight the challenges of assessing function for traits important to fitness and suggest that the perception of floral signalling honesty may depend on whether pollinators use inflorescences or flowers within inflorescences when making foraging decisions. We conclude that future research on honest signalling in flowering plants, as well as its connection to phenotypic selection, should explicitly consider among- and within-inflorescence honesty, in theoretical and experimental contexts.</p>
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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.
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.