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Dataset results
641 results for “data validation”
Data from: Dealing with paralogy in RADseq data: in silico detection and single nucleotide polymorphism validation in Robinia pseudoacacia L.
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Data from: An active-radio-frequency-identification system capable of identifying co-locations and social-structure: validation with a wild free-ranging animal
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Data from: Validation of the Regicor short physical activity questionnaire for the adult population
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Data from: Validation of the GARD™skin assay for assessment of chemical skin sensitizers – ring trial results of predictive performance and reproducibility
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Data from: Estimating bee abundance: Can mark-recapture methods validate common sampling protocols?
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Data from: Fluorescent sperm in a transparent worm: validation of a GFP marker to study sexual selection
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Periodic and heterogeneous solid and velocity data used to train and validate CNN models
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Synthetic and reticulated foam solid and velocity data used to train and validate CNN models
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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.
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.
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.
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.
CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Validated Stage 1 V3-01
CAL_WFC_L1_1Km-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1km Native Science data. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).
GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx
The GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx dataset consists of meteorological data (temperature, pressure, wind, precipitation, and radiation) collected from the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) at the University of Helsinki’s Physicum building rooftop weather station in Helsinki, Finland. These data were collected during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign that 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 data files are available from September 16 through October 22, 2010 in ASCII-CSV and ASCII text formats.
GPM GROUND VALIDATION NOAA S-BAND PROFILER MINUTE DATA MC3E
The GPM Ground Validation NOAA S-Band Profiler Minute Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April-June 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 2.8 GHz profiler measured the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. After calibration, the instrument provided an unattenuated reflectivity estimate through the precipitation. Spectra and moment files are included in netCDF format.
CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-02
CAL_WFC_L1_125m-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125 m Native Science data, Validated Stage 1 Version 3-02. Data collection for this product is ongoing. Version 3.02 represents a transition of the Lidar, Imaging Infrared Radiometer (IIR), and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced, and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. The 125 m Native Science grid contains only the central 5 km wide high-resolution portion of the WFC swath. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), IIR, and WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).
GPM GROUND VALIDATION DC-8 NAVIGATION AND HOUSEKEEPING DATA GCPEX
The GPM Ground Validation DC-8 Navigation and Housekeeping Data GCPEx dataset, which is composed of two types of files. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. National Suborbital Education and Research Center (NSERC) of the University of North Dakota (UND) provided geo-located housekeeping data containing attributes, such as altitude, pressure, air speed, and wind speed. The NASA DC-8 Navigation data in comma delimited IWG1 format were collected and utilized in-flight during the GCPEx mission and retrieved from the Real-Time Mission Monitor. Both file types are available for most of the dataset dates, however please note that there are a few dates where only the IWG1 formatted data is available.
CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-01
CAL_WFC_L1_125m-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125m Native Science data, Validated Stage 1 Version 3-01. Data collection for this product is complete. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 125 m Native Science data product provides WFC radiance and reflectance measurements across just the central 5 km swath at 125 m resolution. No spatial interpolation is performed. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).
Rodent Research-1 (RR1) NASA Validation Flight: Mouse tibialis anterior muscle 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.
Rodent Research-1 (RR1) National Lab Validation Flight: Mouse liver transcriptomic proteomic and epigenomic data
The Rodent Reasearch-1 National Lab (RR-1 CASIS) experiment was performed to study the effect of microgravity on muscle wasting. RNA DNA and protein were purified from RR-1 CASIS (the Center for the Advancement of Science in Space) liver samples. Groups included: Flight (FLT) dissected on-orbit (21 or 22 days after launch); age-matched Ground Controls (GC); and Basal Controls (BC euthanized at time of launch). RNA-Seq whole genome BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed.
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.