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8,038 results for “Validity”
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.
GPM Ground Validation Daily Precipitation OLYMPEX V1
The GPM Ground Validation Daily Precipitation Olympic Mountain Experiment (OLYMPEX) dataset consists of a single netCDF-4 data file containing estimates of daily precipitation, both rainfall and snowfall amounts, on a 1/32 degree spatial resolution grid covering the extent of the OLYMPEX field campaign region in the Olympic Mountains of the state of Washington. This data product was created for the GPM Ground Validation OLYMPEX field campaign. These VIC precipitation estimates are based on NOAA WSR-88D radar and rain gauge data incorporated in NOAA’s National Severe Storms Laboratory (NSSL) local gauge bias-corrected radar quantitative precipitation estimation (QPE) model (product Q3GC) and the Mountain Mapper QPE model (product Q3MM). The VIC hydrology model was used to invert the snow water equivalent (SWE) values to derive precipitation through adjustment of the precipitation-weighting factor on a grid cell by grid cell basis. The VIC precipitation data are available from October 1, 2015 through April 30, 2016.
Validation of Methods to Assess the Immunoglobulin Gene Repertoire in Tissues Obtained from Mice on the International Space Station
Spaceflight is known to affect immune cell populations. In particular, splenic B-cell numbers decrease during spaceflight and in ground-based physiological models. Although antibody isotype changes have been assessed during and after spaceflight, an extensive characterization of the impact of spaceflight on antibody composition has not been conducted in mice. Next Generation Sequencing and bioinformatic tools are now available to assess antibody repertoires. We can now identify immunoglobulin gene- segment usage, junctional regions, and modifications that contribute to specificity and diversity. Due to limitations on the International Space Station, alternate sample collection and storage methods must be employed. Our group compared Illumina MiSeq sequencing data from multiple sample preparation methods in normal C57Bl/6J mice to validate that sample preparation and storage would not bias the outcome of antibody repertoire characterization. In this report, we also compared sequencing techniques and a bioinformatic workflow on the data output when we assessed the IgH and Igκ variable gene usage. Our bioinformatic workflow has been optimized for Illumina HiSeq and MiSeq datasets, and is designed specifically to reduce bias, capture the most information from Ig sequences, and produce a data set that provides other data mining options.
SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data V001
SMAP radiometer and radar soil moisture data products are matched with in situ-based soil moisture estimates from core validation sites to produce this data set. These data provide performance assessments of various SMAP soil moisture products.
Rodent Research-1 (RR1) NASA Validation Flight: Mouse quadriceps 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.
GPM GROUND VALIDATION DUAL POLARIZED C-BAND DOPPLER RADAR KING CITY GCPEX V1
The GPM Ground Validation Dual Polarized C-Band Doppler Radar King City GCPEx dataset has special Range Height Indicator (RHI) and sector scans of several dual polarization parameters, such as temperature and reflectivity, measured by the C-Band radar during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada. Additionally, specially configured Centre for Atmospheric Research Experiments (CARE)-centric composites were also generated. Standard King City Radar (WKR) Interactive Radar Information System (IRIS) volume and Plan Position Indicator (PPI) scans, along with corresponding standard PPI imagery, are also included. Data was collected from January 15, 2012 through March 3, 2012.
GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA SPC FORMAT MC3E V1
The GPM Ground Validation NOAA S-Band Profiler Raw Data SPC Format MC3E dataset is the S-band Profiler Raw dataset was saved in Vaisala SPC format. The numeric values in both formats are exactly the same. 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 Raw dataset in the proprietary Vaisala SPC format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets. Specialized read software may be purchased from Vaisala.
Lidar Atmospheric Sensing Experiment (LASE) Validation
An extensive validation experiment was conducted in September 1995 from Wallops Island, Virginia, to evaluate the performance of the LASE (Lidar Atmospheric Sensing Experiment) system for the measurement of water vapor profiles under a wide range of atmospheric and solar background conditions. During this experiment, the LASE system was flown on a high-altitude (ER-2) aircraft on ten missions for a total of 60 hours. LASE measurements of tropospheric water vapor were compared with in situ measurements from balloons and aircraft that were flown under the ER-2 and with remote measurements from the ground and from aircraft. A high-altitude aircraft (Lear Jet) was equipped with two in situ hygrometers, and a medium to low altitude aircraft (C-130) had onboard the NASA Langley airborne water vapor DIAL system and two in situ hygrometers. Several radiosondes were launched during each LASE flight, and some of these sondes were part of a concurrent international radiosonde intercomparison campaign sponsored by the World Meteorological Organization. The NASA Goddard Scanning Raman lidar also provided nighttime water vapor profile measurements from the ground. During this field experiment, LASE was also used in a number of atmospheric case studies including measurements of Hurricane Luis, a coastal sea breeze development, a strong cold front, an upper level front, and cirrus clouds.
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 nine 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) with N=3/group. RNA-Seq whole genome BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed.
Functional and Technical Validation of SL-seq, a method for RNA-seq in Trypanosomatids
GEO Series GSE95353. Homo sapiens; Leishmania donovani. 37 samples. Type: Expression profiling by high throughput sequencing.
Exploring the important role of PRDX proteins in FSGS: Insights from transcriptomic analysis and experimental validation
GEO Series GSE312092. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
The validation case study of read-across based on IATA for hepatotoxicity of Naphthalene and its structurally similar analogs
GEO Series GSE156442. Rattus norvegicus. 15 samples. Type: Expression profiling by array.
Spatial transcriptomic validation of a biomimetic model of fibrosis enables re-evaluation of a therapeutic antibody targeting LOXL2
GEO Series GSE255705. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Application of text mining to build AOP-based mucus hypersecretion genesets and validation with in vitro and clinical samples
GEO Series GSE142100. Homo sapiens. 72 samples. Type: Expression profiling by high throughput sequencing.
Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity - Papua New Guinea (PNG) Validation cohort [methylation]
GEO Series GSE270978. Homo sapiens. 39 samples. Type: Methylation profiling by genome tiling array.
A validated gene regulatory network and GWAS identifies early regulators of T-cell associated diseases (ChIP-Seq)
GEO Series GSE72266. Homo sapiens. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Design and validation of microarray for chickpea (Cicer arietinum) based on the analysis of transcriptome data [gene expression]
GEO Series GSE78986. Cicer arietinum. 2 samples. Type: Expression profiling by array.
Deep sequencing of grapevine flower and berry short RNA library for discovery of novel microRNAs and validation of precise sequences of grapevine microRNAs deposited in miRBase
GEO Series GSE24531. Vitis vinifera. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Validation of the C. elegans model using juglone as a positive control for oxidative stress
GEO Series GSE59475. Caenorhabditis elegans. 24 samples. Type: Expression profiling by array.
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.