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229
datasets available to search
ShareScore release 0.9.0
Dataset results
229 results for “Gauge”
GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE LPVEX V1
The GPM Ground Validation Pluvio Precipitation Gauge LPVEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity of liquid, solid, and mixed precipitation. This dataset was collected during the Light Precipitation Experiment (LPVEx) which was part of the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment which took place in Finland from September 2010 to October 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm. Data were collected at three sites: Harmaja, Emasalo, and Jarvenpaa.
SBU Pluvio Precipitation Gauge IMPACTS V1
The SBU Pluvio Precipitation Gauge IMPACTS dataset consists of precipitation intensity and precipitation accumulation collected using the OTT Pluvio2 weighing rain gauge during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data files in this dataset are available in ASCII-csv format from January 7, 2020 through February 27, 2020.
GPM Ground Validation Duke Rain Gauges IPHEx V1
The GPM Ground Validation Duke Rain Gauge data were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions of North Carolina. TB3 Model Tipping Bucket rain gauges collected precipitation data from May 1, 2014 through June 15, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The rain gauge data are available in ASCII-csv (comma separated) format for each of the rain gauge locations.
GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX V1
The GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX dataset contains one-minute precipitation rate and precipitation accumulation measurements, as well as start and end times of precipitation events, that were collected during the Olympic Mountain Experiment (OLYMPEX) field campaign on the Olympic Peninsula in the Pacific Northwest of the United States. A Pluvio 400 weighing bucket gauge created by OTT Hydromet in Kempten, Germany was used to collect data at three different sites: Neilton Point (apu04), Wynoochee Trailer (apu10), and Upper Quinault Enchanted Valley (apu30). Data were collected from October 31, 2015 through January 31, 2016, but exact dates vary by site. Data files are available in ASCII-tsv format.
GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE GCPEX V1
The GPM Ground Validation Pluvio Precipitation Gauge GCPEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity for liquid, solid, and mixed precipitation collected during the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. GCPEx took place in Ontario, Canada uring the winter season of December 2011 through February 2012 where data was collected at five sites: CARE, Huronia, Steamshow, Skydive and Morton.
RENU2 Ion Gauge (IG2) Sensor Pressure, High Time Resolution (H0), 1 ms Data
Rocket Experiment for Neutral Upwelling 2, RENU2, Ionization Gauge, Neutral Gas Pressure Measurements
Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours"
<p>Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours". This file includes the tilt record at the coastal tiltmeter SAMH during the 2010 Chile earthquake. The dataset was uploaded to Zenodo during the review process, but now can be available at the institutional repository of the National Research Institute for Earth Science and Disaster Resilience (NIED-IR, https://nied-ir.bosai.go.jp). To access the dataset, please visit http://doi.org/10.17598/NIED.0018.</p> <div> </div>
Relative Sea Level records from merged proxy and tide-gauge data
<p>This data set contains 16 relative sea level (RSL) time series obtained from merging proxy records from salt-marshes and nearby instrumental records from tide gauges, spanning the last three centuries. The method used to combine the two different sources of data is described in Marcos and Gehrels (submitted) and ensures that the output is statistically consistent with the inherent uncertainties of each original time series. The data provided consist of yearly RSL since 1700 and the 5-95% confidence intervals at each site.</p>
Calibration of Polyvinylidene fluoride (PVDF) stress gauges under high-impact dynamic compression by machine learning
<p><br> The shared materials are for calibration of PVDF stress gauges under high-impact dynamic compression by machine learning. Details will be found in the submitted paper to JAP, with a DOI to be updated in the next version. </p> <p>‘data.csv’: experimental data used for machine learning<br> ‘training.jpynb’: notebook to train the model <br> ‘model.joblib’: one example of the trained model </p> <p>The model is used for calibrating the PVDF stress gauge from 0.3 to 10 GPa, best appropriate with remnant polarization from 6.7 to 8.3 μC/cm2 and active sensing thickness from 20 to 30 μm. <br> </p>
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OpenNeuro
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