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8,038 results for “Validity”
GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS LPVEX V1
The GPM Ground Validation Satellite Simulated Orbits LPVEx dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.
GPM Ground Validation Kumpula Mast Meteorological Data LPVEx V1
The GPM Ground Validation Kumpula Mast Meteorological Data LPVEx dataset is comprised of temperature, radiation, and wind measurements collected by the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) Kumpula Mast in Helsinki, Finland. This occurred during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological dataset files are available from September 17 through October 21, 2010 in ASCII text format.
RSS SMAP Level 2C Sea Surface Salinity NRT V6.0 Validated Dataset
The SMAP-SSS level 2C near real-time (NRT) V6.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle. <br><br>The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. Each data file covers one 98-minute orbit (15 files per day), is available in netCDF-4 file format with about 5 hours latency.<br><br>This RSS SMAP-SSS V6.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth’s hydrological cycle, ocean circulation, and climate change.
GPM GROUND VALIDATION DC-8 CAMERA NADIR GCPEX
The GPM Ground Validation DC-8 Camera Nadir GCPEx dataset contains geo-located, visible-wavelength imagery of the ground obtained from the nadir camera aboard the NASA DC-8 in Canada during the 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. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The data is available only for February 20, 2012, a clear-air flight day. DC-8 Camera nadir data may be useful for determining snow cover and lake ice cover for emissivity studies. The dataset also includes, for convenience and reproducibility, aircraft navigation information and ground temperatures to aid in emissivity retrievals.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse liver transcriptomic proteomic and epigenomic data
RR-1 is a validation flight to evaluate the hardware operational and science capabilities of the Rodent Research Project on the ISS. RNA DNA and protein were purified from liver tissues from RR-1 mice (female C57BL/6J 16wk old at time of launch). From each group two liver samples were collected and frozen immediately after euthanasia. The rest of the liver samples from each group were collected from frozen carcasses dissected post-flight. RNA-Seq whole genome and RNA BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed. RNA extracted from these tissues was re-sequenced; these data are available as part of GLDS-168 (https://genelab-data.ndc.nasa.gov/genelab/accession/GLDS-168).
GPM GROUND VALIDATION AEROSOL AND WATER VAPOR LIDAR QUICKLOOKS GCPEX V1
The GPM Ground Validation Aerosol and Water Vapor Lidar Quicklooks GCPEx dataset contains imagery generated from the GPM Cold-season Precipitation Experiment (GCPEx) campaign during January - March 2012 in Canada. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The system is configured to run semi-autonomously and shuts down automatically for the duration of rain events. This dataset is comprised of measurements from two Lidar systems: the Semi Autonomous Tropospheric Aerosol Lidar and the Tropospheric Water Vapor Lidar.
GPM GROUND VALIDATION NEXRAD LEVEL II KDMX IFLOODS
The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format.
RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V4.0 Validated Dataset
The version 4.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
GPM Ground Validation Cloud Radar System (CRS) OLYMPEX V1
The GPM Ground Validation Cloud Radar System (CRS) OLYMPEX dataset provides radar reflectivity and Doppler velocity data collected during the Olympic Mountain Experiment (OLYMPEX). This dataset is used to estimate cloud droplet distribution for the storms monitored during the field campaign. The CRS instrument is a 94GHz W-band Doppler radar with a 3mm wavelength. CRS can be deployed as both an airborne instrument onboard NASA’s high-altitude science aircraft, the Earth Resource 2 (ER-2), as well as a ground based radar system. Only the airborne mode was used during OLYMPEX. In addition to reflectivity and Doppler velocity, the data files include aircraft flight information. The CRS was flown on 10 different days between November 10, 2015 and December 10, 2015. Each data file contains one hour of flight measurements during flight in UTC time. Files for this dataset are in netCDF-3 format and readily accessible without the need of specialized software.
GPM GROUND VALIDATION KICT NEXRAD MC3E V1
The GPM Ground Validaiton KICT NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.
GPM GROUND VALIDATION IOWA X-BAND POLARIMETRIC MOBILE DOPPLER WEATHER RADARS IFLOODS V1
The GPM Ground Validation Iowa X-band Polarimetric Mobile Doppler Weather Radars IFloodS dataset was gathered during the IFloodS campaign from April to June 2013 throughout central and northeastern Iowa. The Iowa Flood Studies (IFloodS) was a ground measurement campaign that took place throughout Iowa from May 1 to June 15, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Four X-band Polarimetric (XPOL) Mobile Doppler Weather Radars were used to collected high-resolution observations of precipitation. The data consists of reflectivity, Doppler velocity, spectrum width, differential reflectivity, differential phase, copolar correlation coefficient, and sound-to-noise ratios. These data are available in netCDF, and browse image files are available in .png format.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse kidney transcriptomic proteomic and epigenomic data
NASA s Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS) it is imperative to use crew time efficiently while maximizing high-quality science return. NASA s GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics systems biology-based approach and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA DNA and protein extracted from archived RR-1 tissue samples for epigenomic transcriptomic and proteomic assays. During the first RR spaceflight experiment a variety of tissue types were harvested from subjects snap-frozen or RNAlater-preserved and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands quadriceps gastrocnemius tibialis anterior extensor digitorum longus soleus eye and kidney. We report here protocols for and results of these tissue extractions and thus the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.
GPM GROUND VALIDATION MCGILL W-BAND RADAR GCPEX V1
The GPM Ground Validation McGill W-Band Radar GCPEx dataset was collected from February 1, 2012 to February 29, 2012 at the CARE site in Ontario, Canada as a part of the GPM Cold-season Precipitation Experiment (GCPEx). This datset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The W-Band radar is a single antenna, 94-GHz pulsed Doppler, vertical pointing radar system. Data products from the W-Band radar include radar reflectivity, Doppler moments, and Doppler spectra of variable lengths. The W-Band radar is primarily used to research various cloud properties. The GPM Ground Validation McGill W-Band Radar GCPEx dataset is available in netCDF format.
GPM GROUND VALIDATION MET ONE RAIN GAUGE PAIRS IPHEX V2
The GPM Ground Validation Met One Rain Gauge IPHEx V2 data were collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) using Met One Model 380 tipping bucket precipitation gauges from September 11, 2013 to October 30, 2014 in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset contains two ASCII files per rain gauge with two rain gauges on a station platform. The gag dataset is quality-controlled reformatted precipitation recorded in millimeters at a temporal resolution of 1 minute and the gmin dataset contains cubic spline interpolated rain rates in millimeters per hour at 1 minute resolution.
GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS
The GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS data product was created for the GPM Iowa Flood Studies (IFloodS) field campaign from April 23, 2013 through June 30, 2013. The IFloodS field campaign was a ground measurement campaign that took place in eastern Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This NRL real time rain rates data product was produced using the Probability Matching Method with rain gauge, Defense Meteorological Satellite Program (DMSP) F15 Special Sensor Microwave - Imager (SSM/I), and DMSP F16 Special Sensor Microwave - Imager/Sounder (SSMIS) data. This data product includes rain rate estimates and files are available in netCDF-4 and binary formats, as well as corresponding browse imagery in JPG format.
GPM Ground Validation Hydro-Estimator IFloodS V1
The GPM Ground Validation Hydro-Estimator IFloodS dataset contains rainfall rate estimates derived using NOAA’s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data by researchers at the NOAA Center of Satellite Applications and Research’s (STAR) using the Hydro-Estimator (H-E) algorithm. Rainfall rate estimates are produced every 15 minutes throughout the continental United States, but for this dataset, have been subset to the Iowa region for the Iowa Flood Studies (IFloodS) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-3 format and consist of rain rate values from April 25, 2013 through June 30, 2013.
GPM Ground Validation Duke Parsivel IPHEx
The GPM Ground Validation Duke Parsivel IPHEx dataset 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. OTT laser-based Parsivel instruments operated from May 1, 2014 through June 30, 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 parsivel data are available in ASCII-csv format for each of the parsivel locations and contain precipitation intensity and drop parameters.
GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX dataset contains information on individual hydrometeors including their size distribution, terminal fall speed, and total concentration collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Two-Dimensional Video Disdrometer (2DVD) data were collected from four sites during the campaign. The dataset files are available from October 31, 2015 through January 17, 2016 (though the exact dates may vary per site) in ASCII-tsv format.
GPM Ground Validation Duke Rain Gauges IPHEx
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 AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) GCPEX V1
The GPM Ground Validation Airborne Second Generation Precipitation Radar (APR-2) GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans, covering a swath that is +/- 25 degrees to each side of the aircraft path. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew aboard the NASA DC-8 for the GPM Cold-season Precipitation Experiment (GCPEx) from 11 January to 25 February, 2012.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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