Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
10,554
datasets available to search
ShareScore release 0.9.0
Dataset results
10,554 results for “measurements”
Measuring age-dependent viscoelasticity of organelles, cells and organisms with Time-Shared Optical Tweezer Microrheology
<p>Source data for Nature Nanotechnology, <span>DOI: 10.1038/s41565-024-01830-y</span></p>
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]
<p>Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications.<br>To our knowledge, the dataset presented in the following is one of the largest published to date. It contains data from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells.<br>This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes result data (capacity, impedance, and pulse resistance measurements). The log data is published under the DOI 10.35097/kww7jv8ajuvchcah.</p>
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: log data]
<p>Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications.<br>To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells.<br>This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes log data. The result data is published under the DOI 10.35097/1969.</p>
Video Supplement for Himes et al. (2024): "Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements"
<p>This archive contains the video supplement for</p> <p>Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements</p> <p>by Himes et al. (2024), submitted to Atmospheric Measurement Techniques. The file contains an animation of the V2.1 and NRT average retrieved extinction coefficient between 19.5--21.5 km at 997 nm for the 2024 Ruang eruptions.</p>
SKS measurements and null measurements for seismic stations in Eritrea and Yemen
<p>These files relate to "Channelized mantle flow through the Afar Triple Junction and around the Arabian plate: evidence from seismic anisotropy" by Gauntlett et al. (2024). Original seismic waveforms are from the Eritrea Seismic Project (<a href="https://doi.org/10.7914/sn/5h_2011">Hammond et al., 2011</a>) and the Young Conjugate Margins Lab in the Gulf of Aden network (<a href="10.7914/SN/XW_2009">Leroy et al., 2007</a>) and are publicly available through<a href="http://service.iris.edu/fdsnws/dataselect/1/">EarthScope Data Services</a>.</p> <p>The repository consists of three files:</p> <ol> <li>SKS_ALL.csv</li> <li>SKS_NULL_ALL.csv</li> <li>stations_all.csv</li> </ol> <p>The first file provides individual shear-wave splitting results reported in the study for the SKS phase. The columns are as follows: </p> <ul> <li>Station longitude</li> <li>Station latitude</li> <li>Orientation of the fast split shear wave (φ)</li> <li>Time delay between the fast and slow shear waves (dt)</li> <li>Error in phi</li> <li>Error in dt</li> <li>Event longitude</li> <li>Event latitude</li> <li>Event backazimuth</li> <li>Distance in degrees from event-station</li> <li>Event code</li> <li>Station name</li> </ul> <p>The second file provides information on null results reported in the study, where no shear-wave splitting is observed for the SKS phase. The columns are as follows: </p> <ul> <li>Station longitude</li> <li>Station latitude</li> <li>Event longitude</li> <li>Event latitude</li> <li>Event backazimuth</li> <li>Distance in degrees from event-station</li> <li>Event code</li> <li>Station name</li> </ul> <p>The station file contains the station name, the station latitude, station longitude and station elevation in km above sea level. </p> <p> </p> <p> </p> <p> </p>
Data from: Handheld lidar sensors can accurately measure herbaceous biomass
<p>Data and code used in <em>Handheld lidar sensors can accurately measure herbaceous biomass</em>. Lidar data is provided for MLS and iPad sensors in <em>las_files.zip</em>. Las files are named by site, plot and subplot (e.g., FP-1-5). Data for response and predictors are avilable in <em>data.zip</em>. R code is provided for predictor creation, modeling, and figure creation in <em>Rcode.zip</em>. </p>
Power, performance and system measures of HPC benchmarks on multiple hardware
Open the record for dataset details and reuse information.
Data files for "Genomic-to-space measurements reveal global ocean nutrient stress"
<p>Data files to be used with the following code: https://github.com/ljustick/genomic_to_space_nut_stress</p>
Data for "Measurement report: Comparison of airborne in-situ measured, lidar-based, and modeled aerosol optical properties in the Central European background – identifying sources of deviations"
<p>A unique set of data is presented, derived from measurements conducted at the rural central European observatory at Melpitz, Germany. Data derived from remote sensing (lidar), airborne platforms (helicopter, balloon), and ground-based in-situ methods is included. Measured and Mie-modeled optical aerosol parameters are presented in the dry- and ambient state. Modeled optical parameters are based on Mie-theory. For ambient state hygroscopic growth simulations are utilized.</p>
Data from: Spectrogram cross-correlation can be used to measure the complexity of bird vocalizations
<p>This data set contains catalog numbers of Macaulay Library sound files and RVV library sound files used in the study- Sawant, S; Arvind, C; Joshi, V & Robin, V. V. (2021) Spectrogram cross-correlation can be used to measure the complexity of bird vocalizations.</p>
A Repeated Measures Dataset on Public Responses to the COVID-19 Pandemic: Social Norms, Attitudes, Behaviors, Conspiracy Thinking, and (Mis)Information
<p>We present a quantitative repeated measures dataset from intensive longitudinal research (diary survey) conducted with participants drawn from a nationally representative sample of the German population. This diary survey addresses a wide range of variables relevant to the COVID-19 pandemic, including information seeking, attitudes towards science, public health, and related behaviors. Respondents were asked about their thoughts, challenges, concerns, and experiences related to the pandemic. Survey responses were requested every two weeks from November 2020 and September 2021 for a total of 18 stages of data collection. The diary survey responses were all matched to the same individual. Using the unique identifier for each individual, the diary survey dataset can be analyzed in concert with a larger representative survey sample that was conducted three times within the same research project over this time period. The diary dataset we present here includes socio-demographic information and other potentially relevant variables, ready for secondary analysis.<br> <br> Initial sample frame: <em>N </em>= 1,480</p> <p>Initial diary survey sub-sample: <em>N </em>= 133</p>
Supplementary Table S1 (raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA "
<p>Supplementary Table S1 (all raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA ". Each data of the validation experiment; Experiment 1-4 was located in different sheets..</p>
In-Line Measurement of the Surface Texture of Rolls Using Long Slender Piezoresistive Microprobes
<p>Raw data from the article "In-Line Measurement of the Surface Texture of Rolls Using Long Slender Piezoresistive Microprobes" published in <em>Journal of Sensors and Sensor Systems</em> on 05 Sep 2021<br> <br> All factory measurements were made with the "G" microprobe. In laboratory measurements both the "G" and "W" microprobes were used.</p>
Data on measuring splash dispersal of a major wheat pathogen in the field
<p>Capacity for dispersal is a fundamental fitness component of plant pathogens. Characterization of plant pathogen dispersal is important for understanding how pathogen populations change in time and space. We devised a systematic approach to measure and analyze rain splash-driven dispersal of plant pathogens in field conditions, using the major fungal wheat pathogen Zymoseptoria tritici as a case study.We inoculated field plots of wheat (Triticum aestivum) with two distinct Z. tritici strains. Next, we measured disease intensity as counts of fruiting bodies (pycnidia) using automated image analysis. These measurements characterized primary disease gradients, which we used to estimate effective dispersal of the pathogen population. Genotyping of reisolated pathogen strains with strain-specific PCR confirmed the conclusions drawn from phenotypic data. Consistently with controlled environment studies,we found that the characteristic scale of dispersal is tens of centimeters.We analyzed the data using a spatially explicit mathematical model that incorporates the spatial extent of the source, rather than assuming a point source,which allows for a more accurate estimation of dispersal kernels.We employed bootstrapping methods for statistical testing and adopted a two-dimensional hypotheses test based on kernel density estimation, enabling more robust inference compared with standard methods. We report the first estimates of dispersal kernels of the pathogen in field conditions. However, repeating the experiment in other environments would lead to more robust conclusions.We put forward advanced methodology that paves the way for further measurements of plant pathogen dispersal in field conditions, which can inform spatially targeted plant disease management. </p>
Data for Development of LOS Analysis Procedures and Performance Measurement Systems for Parking (UTEP Year 4 Project)
<p>These Excel files consists of the data in the tables and figures in the final report. They appear in Chapters 3 to 6 in the final report. Each file is for one chapter. Each table or figure is listed as an Excel worksheet. The name of the worksheet is the figure or table number in the final report.</p>
Particle number size distribution of fluorescent, hyper-fluorescent, and total aerosol particles measured during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>This dataset consists of a 5-minute time series of particle number concentration of fluorescent and total aerosol particles that were measured by wideband integrated by aerosol sensor during the Antarctic Circumnavigation Expedition during the austral summer of 2016/2017. For this dataset, aerosol particles within the optical diameter range of 0.5 μm to 14.5 μm were considered. In this dataset, the time periods when samples are likely contaminated by the ship’s exhaust were removed from the time series.</p> <p><strong>Dataset contents</strong></p> <ul> <li>PSD_fluorescent.csv , data file, comma-separated values</li> <li>PSD_hyper_fluorescent.csv , data file, comma-separated values</li> <li>PSD_hyper_tot.csv , data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> <p><strong>Dataset license</strong></p> <p>This particle number size distribution of fluorescent, hyper-fluorescent, and total aerosol particles dataset from ACE 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>
Preliminary on-ice remote sensing measurements during the MOSAiC expedition
<p>Several different remote sensing instruments were deployed on the sea ice floe next to RV Polarstern during the MOSAiC expedition (mosaic-expedition.org). Here, preliminary data from nine instruments for two observation periods (Nov 2019 and Sep 2020) is provided. Initial calibration was performed but data might change for the final datasets. Outliers were filtered and some time series smoothed. Data from Figure 10 in Nicolaus et al. (2021), "Overview of the MOSAiC expedition – Snow and Sea Ice", Elementa:</p> <p>Results from co-located active and passive remote sensing instruments (Table 2) looking at similar ice and snow conditions (Figure S4). (left) Measurements during a warming and storm event in November 2019 and (right) during a melting event in September 2020. (A) Air temperature and wind speed from the Polarstern weather station and snow surface temperature from the IR camera at the Remote Sensing Site (dashed blue line shows time periods with potential icing on the lens). (B) Radar backscatter at VV polarization from 2145 microwave scatterometers L-SCAT at 1.3 GHz and Ku/Ka-radar at 15 and 35 GHz (note the different y-scales). (C) Brightness temperature at V polarization from microwave radiometers: ELBARA at 1.4 GHz, ARIEL at 1.4 GHz looking at thin ice on a lead, HUTRAD at 7 and 11 GHz, SSMI at 19, 37, 89 GHz (not all available data shown). (D) Reflected GNSS data, i.e., reflectivity at the Remote Sensing Site (blue) and for sea ice next to Polarstern (red). In the plot titles the used incidence angle range is given. Vertical dashed lines mark the start of warming and/or storm events. (E) Exemple photographs of the remote sensing site during winter and summer.</p>
Dataset of the article 'Redox state kinetics in water-oxidation IrOx electrocatalysts measured by operando spectroelectrochemistry'
<p>Data published in the article 'Redox state kinetics in water-oxidation IrO<sub>x</sub> electrocatalysts measured by <em>operando</em> spectroelectrochemistry', <a href="https://doi.org/10.1021/acscatal.1c03290">https://doi.org/10.1021/acscatal.1c03290</a>.</p> <p>Abstract: hydrous iridium oxides (IrO<sub>x</sub>) are the best oxygen evolution electrocatalysts available for operation in acidic environments. In this study, we employ time-resolved <em>operando</em> spectroelectrochemistry to investigate the redox states kinetics of IrO<sub>x</sub> electrocatalyst films for both water and hydrogen peroxide oxidation. Three different redox species involving Ir<sup>3+</sup>, Ir<sup>3.x+</sup>, Ir<sup>4+</sup> and Ir<sup>4.y+</sup> are identified spectroscopically and their concentrations are quantified as a function of applied potential. The generation of Ir<sup>4.y+</sup> states is found to be the potential determining step for catalytic water oxidation, whilst H<sub>2</sub>O<sub>2</sub> oxidation is observed to be driven by the generation of Ir<sup>4+</sup>states. The reaction kinetics for water oxidation, determined from the optical signal decays at open circuit, accelerate from ~ 20 s to < 0.5 s with increasing applied potential above 1.3V <em>vs.</em> RHE (i.e. TOFs per active Ir state increasing from 0.05 to 2 s<sup>-1</sup>). In contrast, the reaction kinetics for H<sub>2</sub>O<sub>2</sub> are found to be almost independent of the applied potential (increasing from 0.1-0.3 s<sup>-1 </sup>over a wider potential window), indicative of a first order reaction mechanism. These spectroelectrochemical data quantify the increase of both the density of active Ir<sup>4.y+</sup> states and the TOFs of these states with applied positive potential, resulting in the observed sharp turn on of catalytic water oxidation current. We reconcile these data with the broader literature while providing a unique kinetic insight into IrO<sub>x</sub> electrocatalytic reaction mechanisms, indicating a first order reaction mechanism for H<sub>2</sub>O<sub>2</sub> oxidation driven by Ir<sup>4+</sup> states, and a higher order reaction mechanism involving the co-operative interaction of multiple Ir<sup>4.y+</sup> states for water oxidation.</p>
Demagnetization energy and internal stress in magnetite from temperature dependent hysteresis measurements - temperature hysteresis data
<p><strong>Data set of hysteresis data files for the <em>Geophysical Research Letters</em> article <em>"Demagnetization energy and internal stress in magnetite from temperature dependent hysteresis measurements"</em></strong></p> <p>MicroMag 2900/3900 Data Files (Series 0016.002) - The file name and description in the file provide the specimen information. Each file contains information on the instrument, settings, measurement, script, and the measured data: field, moment, and temperature.</p>
Repeated measure plant community data after fire in boreal forest, Taiga Shield, Northwest Territories, Canada, 1998-2018
<p>10 transects were established in the years following fire in boreal forest stands on the Taiga Shield, Northwest Territories, Canada in 1998-1999. These were remeasured annually. Six transects were returned to on 2018 for another measurement. At each measurement, we recorded ground covers, species identities, and counted tree stems (seedlings).</p>
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.