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8,038 results for “validation.”
Synthetic and reticulated foam solid and velocity data used to train and validate CNN models
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Developing and validating the psychosocial burden among people seeking abortion scale (PB-SAS)
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RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset
The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with 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. 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.<br><br>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. The RSS SMAP L3 monthly product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format and is averaged over one-month time intervals with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km.
GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland
The GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland dataset consists of a network of 16 Parsivel disdrometers deployed on the Ecole Polytechnique Federale de Lausanne (EPFL) campus in Lausanne, Switzerland for about 16 months from March 2009 to July 2010. The distribution of the disdrometers was to cover a typical operational radar pixel (about 1x1 km2). Since all the stations were not deployed at the same time, additional data are available from November 2008 to September 2010. The dataset also consists of a list of precipitation events that occurred throughout the study period. There are two types of data, raw data and filtered volumic drop size distribution data. These data are in ASCII (.dat, .txt) format that are compressed into .gz files.
RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset
The version 5.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fifth 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). The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. 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 ENVIRONMENT CANADA (EC) VISIBILITY SENSOR FD12P AND PRESENT WEATHER DETECTOR GCPEX V1
The GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P and Present Weather Detector GCPEx dataset contains data collected from January 15 through March 1, 2012 in Huronia, Canada for the GPM Cold-season Precipitation Experiment (GCPEx). This dataset 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 FD12P combines the functions of a forward scatter visibility meter and a present weather detector. It also measures the intensity and the amount of both liquid and solid precipitation.
GPM Ground Validation KRTX NEXRAD OLYMPEX V1
The GPM Ground Validation KRTX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 03 November 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.
GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS V1
The GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS dataset was collected during the Iowa Flood Studies (IFloodS) field campaign from April 28, 2013 through May 20, 2013 near Shueyville City, Iowa. Four observation sites (15442, 15443, 15444, and 22390), each consisting of three tipping bucket rain gauges that collected 5-minute accumulations of precipitation data. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Specifically, this meant collecting detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. These IFC Rain Gauge data are available in ASCII format, with corresponding browse images available in PNG format.
GPM GROUND VALIDATION NOAA S-BAND PROFILER ORIGINAL DWELL DATA MC3E
The GPM Ground Validation NOAA S-Band Profiler Original Dwell Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April 16, 2011 to June 7, 2011. The overarching goal 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 S-band profiler operated at 2.8 GHz, pointed vertically, and measured the backscattered power from raindrops and ice particles as precipitating cloud systems passed overhead. The S-band operated in two modes: precipitation mode and attenuated mode. The precipitation mode was the normal or full-power mode, and the attenuated mode was the low-power mode. The profiler alternated between modes collecting either 7 or 9 consecutive precipitation mode profiles separated by 1 attenuated mode profile. Both modes processed radar pulses collected during a 7-second dwell before calculating the Doppler velocity spectra at each radar range gate that were separated by 60-meters in the vertical. The attenuated and precipitation mode data are available in moment, pop spectra (uncalibrated raw spectra) and calibrated spectra hourly files. The S-band spectra were calibrated against the surface disdrometer to determine a radar calibration constant. Calibrated spectra were constructed for each profile and are expressed as reflectivity spectral density. After calibration, the instrument provides a reflectivity estimate through the precipitation. Data is in hourly files in the netCDF format.
GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS GCPEX V2
The GPM Ground Validation UND Citation Cloud Microphysics GCPEx dataset includes instrument measurements of cloud microphysics, state of atmosphere parameters. bulk aerosols, three-dimensional winds, and turbulence. These measurements were taken by the University of North Dakota's (UND) Cessna Citation aircraft, an in situ platform used during the GCPEx campaign. The GPM Ground Validation UND Citation Cloud Microphysics GCPEx data are stored as a separate file for each flight, including both a primary file containing direct and derived parameters, and raw data for each cloud instrument aboard the Citation. This dataset contains measurements collected across 12 data missions from January 19, 2012 through February 24, 2012. Navigation files for this dataset were updated July 2015.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse adrenal gland 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 Hydro-Estimator IPHEx V1
The GPM Ground Validation Hydro-Estimator IPHEx 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 North Carolina region for the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-4 format and consists of rain rate values from May 1, 2014 through June 16, 2014.
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MICRO RAIN RADAR (MRR) GCPEX
The GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx V2 dataset was collected from the Micro Rain Radar (MRR) during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada during the winter season 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. Operating at 24 GHz the MRR, a vertically pointing Doppler radar, retrieved quantitative rain rates, drop size distributions, radar reflectivity, and fall velocities on vertical profiles up to several kilometers above the unit. The MRR used during GCPEX is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/). Version 2 of this dataset became active on April 30, 2015.
GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx V1
The GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx dataset contains rainfall rate measurements derived using the SCaMPR algorithm to combine GOES infrared (IR) data and derived parameters as inputs. The SCaMPR algorithm is calibrated using microwave rainfall estimates from the Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Sounding Unit (AMSU). This dataset contains the values for the time period of the IPHEx campaign from April 30, 2015 to June 17, 2015. 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. These data are available in netCDF-4 format, while browse images are available in GIF format.
GPM Ground Validation CAX1 Radar RB5 format OLYMPEX V1
The GPM Ground Validation CAX1 Radar RB5 format OLYMPEX dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016.
Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the SAGE III Ozone Loss and Validation Experiment (SOLVE)
LASE_SOLVE is the Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the SAGE III Ozone Loss and Validation Experiment (SOLVE) data product. Data collection for this data set is complete.The LASE SOLVE field experiment was conducted in the Arctic during November 1999 to March 2000 with the scientists based above the Arctic Circle at the airport in Kiruna, Sweden. Measurements of stratospheric composition over the Arctic were made using a large suite of instruments aboard several European aircraft, as well as on NASA's DC-8 and ER-2 aircraft. Additionally, balloons and ground-based instruments also took atmospheric readings and scientists gathered ozone-related data to use in validating measurements by the SAGE III instrument aboard the Russian Meteor-3 satellite. LASE airborne lidar produced measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. SOLVE was a measurement campaign designed to examine the processes which control polar to mid-latitude stratospheric ozone levels. The goal of SOLVE was for its results to expand the understanding polar ozone processes to provide greater confidence in ozone monitoring capabilities.
GPM GROUND VALIDATION PAWNEE RADAR MC3E
The GPM Ground Validation Pawnee Radar MC3E dataset was collected by the Pawnee radar data for the Midlatitude Continental Convective Clouds Experiment (MC3E) held in Oklahoma were collected on May 24, 2011 to support the CHILL radar and the NASA ER-2 instrumentation data. The Pawnee is a single polarization (V polarization) Doppler radar. During the ER2 flight, the Pawnee conducted a wide azimuth opening PPI sector volume scan oriented towards the east designed to provide general 3D coverage of the ER2 flight area. When the ER2 reported starting a course reversal, the CHILL and Pawnee radars attempted to start sector scans at the same time to support dual Doppler wind analyses. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CHILL. The single polarization Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. CHILL and Pawnee radar data are available as separate datasets.
JPL SMAP Level 2B CAP Sea Surface Salinity V5.0 Validated Dataset
This is the PI-produced JPL SMAP-SSS V5.0, level 2B CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 3 day latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km. 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 for the surface roughness correction required for the surface salinity retrieval.
GPM Ground Validation Validation Network (VN) V1
The GPM Ground Validation Validation Network (VN) dataset contains reflectivity, hydrometeor identification, rain rate, correlation coefficient, and quality control variables and estimates. This data product was created using the Validation Network (VN), which performs a direct match-up of the Global Precipitation Mission (GPM)’s space-based Dual-frequency Precipitation Radar (DPR) and Microwave Imager (GMI) data with ground radar data from NOAA Weather Surveillance Radar-1988 Doppler (WSR-88D) radars. These data are available from March 9, 2014 through July 31, 2021 in netCDF-3 format, though it should be noted that this dataset will be updated periodically.
GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP V1
The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP dataset consists of snowfall data collected by the Two-Dimensional Video Disdrometer (2DVD) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The 2DVD measures precipitation characteristics such as size, shape, and velocity. During C3VP, there was one 2DVD instrument deployed at the Meteorological Service of Canada (MSC) operated Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include diameter, volume, and fall speed information for individual snowflakes. The dataset files are available in ASCII text format from December 2, 2006 through April 9, 2007.
ScienceDex guides
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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.