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232
datasets available to search
ShareScore release 0.9.0
Dataset results
232 results for “time measurement”
Interior Alaska managed sites:vegetation community composition and ground cover measured one time in either summer 2012 or 2013
This dataset contains number of hits by different vegetation types and ground cover measured using a pin flag using the point intercept method.
Interior Alaska managed sites: downed woody debris measured one time in either summer 2012 or 2013
This dataset contains counts of fine woody debris collected along transects measured at a suite of managed and unmanaged areas in interior Alaska in summers 2012 and 2013. Dataset also includes diameters of large (>=7cm diameter) downed woody debris pieces.
Data for "Wave anomaly detection in wave buoy measurements" - Phase-Resolving Time Series
<p>The datasets contain extreme time series obtained from the post-processed 3D wave fields simulated using HOS-Ocean, a high-order spectral model (HOSM) that solves the deterministic propagation of nonlinear wave fields in deep water (Ducrozet et al., 2016).</p> <p>Voermans. (2020). Data for "Wave anomaly detection in wave buoy measurements" - Phase-Resolving Time Series [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4028014</p> <p> </p>
High-frequency measurements of aeolian saltation flux: time series data
<p>High-frequency (25-50 Hz) coupled observations of wind speed and aeolian saltation flux (i.e, the wind-blown movement of sand) were measured at three field sites: Jericoacoara, Brazil; Rancho Guadalupe, California; and Oceano, California. The dataset provided here contains the full record of raw and processed time series of saltation flux and wind speed measured at multiple heights above the sediment surface.</p>
Geolocators lead to better measures of timing and renesting in Black-tailed Godwits and reveal the bias of traditional observational methods
<p>Long‐term population studies can identify changes in population dynamics over time. However, to realize meaningful conclusions, these studies rely on accurate measurements of individual traits and population characteristics. Here, we evaluate the accuracy of the observational methods used to measure reproductive traits in individually marked black‐tailed godwits (<i>Limosa limosa limosa</i>). By comparing estimates from traditional methods with data obtained from light‐level geolocators, we provide an accurate estimate of the likelihood of renesting in godwits and the repeatability of the lay dates of first clutches. From 2012 – 2018, we used periods of shading recorded on the light‐level geolocators carried by 68 individual godwits to document their nesting behaviour. We then compared these estimates to those simultaneously obtained by our long‐term observational study. We found that among recaptured geolocator‐carrying godwits, all birds renested after a failed first clutch, regardless of the date of nest loss or the number of days already spent incubating. We also found that 43% of these godwits laid a second replacement clutch after a failed first replacement, and that 21% of these godwits renested after a hatched first clutch. However, the observational study correctly identified only 3% of the replacement clutches produced by geolocator‐carrying individuals and designated as first clutches a number of nests that were actually replacement clutches. Additionally, on the basis of the observational study, the repeatability of lay date was 0.24 (95% CI 0.17 – 0.31), whereas it was 0.54 (95% CI 0.28 – 0.75) using geolocator‐carrying individuals. We use examples from our own and other godwit studies to illustrate how the biases in our observational study discovered here may have affected the outcome of demographic estimates, individual‐level comparisons, and the design, implementation, and evaluation of conservation practices. These examples emphasize the importance of improving and validating field methodologies and show how the addition of new tools can be transformational.</p>
Resazurin-based time-kill assay in Acinetobacter baumannii AB074. Fluorescence measurement data for excitation 544 nm, emission 590 nm, gain 1000.
<p>There were 21 groups: 3 groups of transferrin alone in 3 different concentrations (1/3, 1, and 3 times of its MIC); 4 groups of antibiotics alone (ciprofloxacin and meropenem in 1/3 and 1 MIC concentration each), 6 combo groups for ciprofloxacin and 6 combo groups for meropenem, 1 group of positive control with bacteria but without any drug and 1 group of negative control without bacteria, with RPMI only. 20 µL of 0.1% aqueous resazurin solution was added to each well and the plate was incubated at 37°C without shaking for 24 hours. After incubation fluorescence was measured (excitation 544 nm, emission 590 nm) at 0h, 1h, 2h, 4h, 6h, 8h, and 24 hrs using the FLUOstar Omega plate reader (BMG LABTECH GmbH, Germany). Plate layouts may vary.</p> <p>For more information contact author.</p>
The Dynamic Assimilation Technique measures photosynthetic CO2 response curves with similar fidelity as steady-state approaches in half the time
<p>The net CO<sub>2</sub> assimilation (A) response to intercellular CO<sub>2</sub> concentration (C<sub>i</sub>) is a fundamental measurement in photosynthesis and plant physiology research. The conventional A/Ci protocols rely on steady-state measurements and take 15-40 minute per measurement, limiting data resolution or biological replication. Additionally, there are several CO<sub>2</sub> protocols employed across the literature, without clear consensus as to the optimal protocol or systematic biases in their estimations. We compared the non-steady state Dynamic Assimilation Technique (DAT) protocol and the three most used CO<sub>2</sub> protocols in steady-state measurements, and tested whether different CO<sub>2</sub> protocols lead to systematic differences in estimations of the biochemical limitations to photosynthesis. The DAT protocol reduced the measurement time by almost half without compromising estimations accuracy or precision. The monotonic protocol was the fastest steady-state method. Estimations of biochemical limitations to photosynthesis were very consistent across all CO<sub>2</sub> protocols, with slight differences in ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation limitation. The A/Ci curves were not affected by the direction of the change of CO<sub>2</sub> concentration but rather the time spent under TPU-limited conditions. Our results suggest that maximum rate of ribulose 1·5- bisphosphate carboxylase/oxygenase carboxylation (V<sub>cmax</sub>), linear electron flow for NADPH supply (J) and triose phosphate utilization (TPU) measured using different protocols within the literature are comparable, or at least not systematically different based on the measurement protocol used.</p>
A Dataset for Inertial Measurements of Scoliotic Patients during Timed-Up and Go Tests in Unbraced and Braced Scenarios
<p>Repository composition:</p> <p>*** Dataset ***</p> <p>Anonymous data pertaining to each participant is stored in a single folder, named S##. </p> <p>Each of these folders contains the following:</p> <p>1) Raw IMU data from the G-Walk sensor (3-axis acceleration, 3-axis gyroscope, 3-axis magnetometer) recorded during the Timed-Up and Go tests in .txt files. Specifically, the 3 experimental conditions are "Unbraced", "Conventional" and "3DPrinted". Each condition was recorded three times (01, 02, 03).</p> <p>2) A .xlsx file named "TUG_Metrics" with the values of the TUG metrics for each condition.</p> <p>3) A .xlsx file named "Segmentation_Times" with the start and end timepoints of the TUG phases for each condition.</p> <p>*** Boxplot ***</p> <p>This is a folder containing boxplots in .png files for each TUG metric, comparing the three experimental conditions.</p> <p>*** Histogram ***</p> <p>This is a folder containing histograms in .png files for each TUG metric, comparing the three experimental conditions.</p> <p>*** QQ Plot ***</p> <p>This is a folder containing qq-plots in .png files for each TUG metric, comparing the three experimental conditions.</p>
Real-Time Dataset of Metheorological Measurements Collected During the Project
<p>This dataset contains a collection of real-time meteorological data during the Resisto project. This information has been recorded and is structured into different fields, each representing a specific meteorological variable of the deployed sensors in the Doñana National Park. </p>
Real-Time Dataset of Fire Sensor Measurements Collected During the Resisto Project
<p>This dataset contains real-time environmental measurements from fire detection sensors across multiple locations. These sensors has been deployed on diferent locations, principally on the Doñana National Park. </p>
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>
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>
Self-synchronized cost-effective time-resolved measurements at x-ray free-electron lasers with femtosecond resolution
<p>In compliance with guidelines from SNSF (Swiss National Science Foundation), we upload the raw data that belongs to a publication we submitted to <em>Physical Review Research</em>.<br> The dataset also contains the analysis scripts used to produce the plots we show in the publication.</p> <p>Our software is attached to the dataset. An installation of the well known ELEGANT code is required to run it.</p> <p>Shortly after upload of the first version of this dataset, a bug was found in the analysis software.<br> The second version contains the corrected software.</p>
Time is money: Considerations for measuring the radiological reading time
<p>reporting/ RIS-Timestamps and real-time assessment.</p>
Switchgrass flowering time measurements for genomic prediction
<p>The seasonal timing of the transition from vegetative to reproductive growth has a major impact on biomass accumulation in switchgrass. Late-flowering switchgrass cultivars produce greater biomass, a critical trait for sustainable bioenergy production. Genomic prediction (GP) may allow rapid selection of late-flowering individuals with reduced time and expense for field evaluations. To evaluate GP, two flowering time traits (heading date and anthesis date) were collected on 1,532 genotypes from four breeding populations: Midwest, Gulf, Atlantic, and Hybrid. These were sequenced using genotype-by-sequencing (530,792 SNPs). Predictive ability of single-trait and multi-trait models were evaluated by cross-validation, by prediction of a progeny trial (n=122), and through prediction of yield performance in a parallel experiment (n=52). Predictive ability was not improved by sharing information among breeding groups. Overall, multi-trait models provided an advantage during cross-validation, but a smaller advantage during progeny prediction. Within populations, GP resulted in lower per-cycle progress than previously reported field evaluations (3.1 vs 5.0 day<sup>-1</sup> cycle<sup>-1</sup>). However, GP cycles are potentially much faster than field evaluations. When directly predicting biomass yield, the Hybrid training population had a predictive ability of 0.54-0.63. This reinforces the strong linkage between biomass yields in swards and flowering time. These results highlight the value of GP for rapid yield improvement in switchgrass, particularly in a breeding program designed to share information between biomass yield trials and low-cost flowering time evaluations.</p>
ScintiPi3 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives"
<p>ScintPi 3.0 data sets for "First observations of severe scintillation over low-to-mid latitudes driven by quiet-time extreme equatorial plasma bubbles: conjugate measurements enabled by citizen science initiatives" by Sousasantos et al. (2024).</p>
Research Compendium for Himes et al. (2024): "Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements"
<p>This archive is the Reproducible Research Compendium 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.</p> <p>This compendium includes all files related to MARGE associated with the manuscript.</p> <p>NN model files are split into smaller files for convenience, given their sizes. To recombine the files, do, e.g., <br> cat cnn_weights_NH-LW.h5* > cnn_weights_NH-LW.h5</p> <p>User interested in running MARGE will need to clone the GitHub repo (https://github.com/exosports/MARGE), apply the patch file to checksum fc95b3c, organize the relevant files into directories as listed in the configuration files (Zenodo does not support organizing files into directory structures) and calculate the number of training, validation, and test cases to be stored in the relevant input file specified in the configuration file. MARGE is under the Reproducible Research Software License (https://planets.ucf.edu/resources/reproducible-research/software-license/). For more details on MARGE, see the User Manual on GitHub.</p>
Supplementary material for the paper: Application of Time-Averaged and Integral-Based Measure for Measurement Results Variability Reduction in GSM/DCS/UMTS Systems
<p>Supplementary material for the paper: Application of Time-Averaged and Integral-Based Measure for Measurement Results Variability Reduction in GSM/DCS/UMTS Systems</p>
Time series of gas, particle, and environmental variables measured at the Mäkelänkatu urban street canyon site in May 2017
<p>Time series data of gas, particle, and environmental variables measured at the Mäkelänkatu urban street canyon site, in Helsinki, Finland, in May 2017.</p>
Multi-year high time resolution measurements of fine PM at 13 sites of the French Operational Network (CARA program)
<p>These datasets correspond to long-term measurements of atmospheric aerosol components from Aerosol Chemical Speciation Monitor (ACSM) and multi-wavelength Aethalometer (AE33) instruments collected between 2015 and 2021 at 13 (sub)urban sites as part of the French CARA program. </p> <p>The datasets contain the mass concentrations of major chemical species within PM1, namely organic aerosols (OA), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl-), and equivalent black carbon (eBC). </p> <p>Rigorous quality control, technical validation, and environmental evaluation processes were applied, adhering to both the guidance from the French reference laboratory for air quality monitoring and the Aerosol, Clouds, and Trace gases Research Infrastructure (ACTRIS) standard operating procedures.</p> <p>These data are discussed in an article in submission, please cite it when using the data.</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.