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2,373
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2,373 results for “Platform”
RNA-Seq on SOLiD platform of DrosDel deficiency and w1118 flies
GEO Series GSE31401. Drosophila melanogaster. 16 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing results of treatment with BET inhibitor (JQ1) in human diffuse large B-cell lymphoma (DLBCL) cells based on Illumina HiSeq 2500 platform
GEO Series GSE144821. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Assessing a single-cell multi-omic analytic platform to characterize ex vivo-engineered T cell therapy products
GEO Series GSE274350. Homo sapiens. 16 samples. Type: Other.
Multiple platform assessment and isomir analysis of the EGF dependent microRNA-ome by microarray and deep sequencing analysis
GEO Series GSE41360. human gammaherpesvirus 4; Human gammaherpesvirus 8; Betapolyomavirus macacae; Human alphaherpesvirus 1; Homo sapiens; Human betaherpesvirus 5; Betapolyomavirus hominis; JC polyomavirus; Human immunodeficiency virus 1. 20 samples. Type: Non-coding RNA profiling by array; Non-coding RNA profiling by high throughput sequencing.
A cell-based platform for the investigation of immunoproteasome subunit β5i expression and biology of β5i-containing proteasomes
GEO Series GSE183592. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Comparison of microarray platforms for measuring differential microRNA expression (Miltenyi data)
GEO Series GSE33123. synthetic construct; Homo sapiens. 18 samples. Type: Non-coding RNA profiling by array.
Mapping replication domains using the Ion Torrent semiconductor sequencing platform [BrdU-IP]
GEO Series GSE115847. Mus musculus. 2 samples. Type: Other.
A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response
GEO Series GSE90546. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.
Cross-platform comparison of gene expression-based cancer molecular subtyping reveals discrepancies with exome capture methods
GEO Series GSE313117. Homo sapiens. 158 samples. Type: Expression profiling by high throughput sequencing; Other.
spinDrop: a modular droplet microfluidic platform to maximise single-cell RNA sequencing information content
GEO Series GSE208156. Homo sapiens; Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
DISCOVER-AQ Colorado Deployment Mobile Platform Data
DISCOVERAQ_Colorado_Ground_Mobile_Data contains data collected via the Princeton Mobile Lab and NASA Langley LARGE Mobile Lab during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P3-B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
A Mission Simulation and Evaluation Platform for Terrestrial Hydrology using the NASA Land Information System (LIS) Project
<p> Develop a mission simulation and evaluation platform for terrestrial hydrology missions by creating an end-to-end observation system simulation experiment (OSSE) platform by using NASA LIS&rsquo; data assimilation, optimization, and uncertainty estimation tools.&nbsp; This platform will enable:<br /> Quantifying the impact of observations through a variety of OSSE configurations and evaluation metrics related to terrestrial hydrologic science and applications<br /> Improving the use of products for end-use applications and science, and quantifying the mission risks for GPM and GRACE-II</p>
The Long Island Sound Coastal Observational (LISCO) platform
The Long Island Sound Coastal Observational platform (LISCO) near Northport, New York, has both multispectral and hyperspectral radiometers for ocean color measurements to support satellite data validation.
PISTON 2018-2019 Autonomous Platform Ocean Datasets
PISTON-ONR-NOAA-Autonomous-Uncrewed_2018-2019 is the Propagation of Intra-Seasonal Tropical Oscillations (PISTON) 2018-2019 autonomous platform ocean data product. This product is the result of a joint effort that involved NASA as well as the Office of Naval Research (ONR), and National Oceanic and Atmospheric Administration (NOAA). Data was collected collection for this product using Sounding Oceanographic Lagrangian Observer II (SOLO-II) instruments. Data collection is complete.The PISTON field campaign, sponsored by the Office of Naval Research (ONR) and the National Oceanic and Atmospheric Administration (NOAA), was designed to gain understanding and enhance the prediction capability of multi-scale tropical atmospheric convection and air-sea interaction in this region. PISTON targeted the Boreal Summer Intraseasonal Oscillation (BSISO), which defines the northward and eastward movement of convection associated with equatorial waves, the MJO, tropical cyclones, and the Maritime Continent monsoon during northern-hemispheric (boreal) summertime. PISTON completed three total shipboard cruises, deployed eight drifting ocean profiling floats and two full-depth ocean moorings, collaborated with a Japanese research vessel collecting similar data, and also made use of soundings from nearby islands. These activities took place in the Philippine Sea, which is in the tropical northwestern Pacific Ocean north of Palau, between August 2018 - September 2019, with each dataset spanning a slightly different amount of time. There were two US research vessels involved in PISTON: R/V Thomas G. Thompson in Aug-Sept and Sept-Oct 2018 and R/V Sally Ride in Sept 2019. The first 2018 cruise coincided collaborative activities with R/V Mirai. The 2019 cruise coincided with the NASA CAMP2Ex airborne field experiment (Clouds, Aerosol and Monsoon Processes-Philippines Experiment, please see more info below). The two specialized moorings were deployed north of Palau and collected data from August 2018 - Oct 2019 to document a time series of ocean characteristics beneath typhoons and other tropical weather disturbances. Toward the same goal, eight profiling ocean floats were also deployed ahead of typhoons in 2018. For characterization of clouds and precipitation, the PISTON shipboard instrument payload included a scanning C-band dual-polarization Doppler radar (SEA-POL), a vertically-pointing Doppler W-band radar, and multiple vertically- and horizontally-scanning lidars. Rawinsondes were launched from the ships for atmospheric profiling. Additional radiosonde and precipitation radar data were collected from R/V Mirai via an international collaboration. Regular soundings were also archived from islands neighboring the Philippines and the Philippine Sea: Dongsha Island, Taiping Island, Yap, Palau, and Guam. Additional atmospheric sampling from the PISTON R/V Thompson 2018 and Sally Ride 2019 cruises included an electric field meter and disdrometer in 2018, and all-sky camera images in 2019. To document near-surface meteorological conditions, air-sea fluxes, and upper-ocean variability including ocean vertical profiles on these cruises, instruments were deployed on and towed from the ship. Additional profiles of ocean acoustics and oceanic chemistry were not archived but are available upon request by James N. Moum, Oregon State University, jim.moum@oregonstate.edu. A forecast team analyzed and predicted conditions of the weather and ocean throughout the PISTON experiment, which were not archived but are available upon request for future modeling and observational analysis studies (contacts: Sue Chen, US Naval Research Lab Monterey, sue.chen@nrlmry.navy.mil and Michael M. Bell, Colorado State University, mmbell@colostate.edu). There are five total DOIs related to PISTON, separated by ship (and therefore year) as well as other platforms/locations that span multiple years:https://doi.org/10.5067/SUBORBITAL/PISTON2018-ONR-NOAA/RVTHOMPSON/DATA001 https://doi.org/10.5067/SUBORBITAL/PISTON2019-ONR-NOAA/RVSALLYRIDE/DATA001https://doi.org/10.5067/SUBORBITAL/PISTON2018-2019-ONR-NOAA/AUTONOMOUS/DATA001 (this doi)https://doi.org/10.5067/SUBORBITAL/PISTON2018-2019-ONR-NOAA/ISLANDS/DATA001https://doi.org/10.5067/SUBORBITAL/PISTON2018-ONR-NOAA/RVMIRAI/DATA001The CAMP2Ex 2019 data DOI is:https://doi.org/DOI: 10.5067/Suborbital/CAMP2EX2018/DATA001The CAMP2Ex (Clouds, Aerosol and Monsoon Processes-Philippines Experiment, 2019) and PISTON (Propagation of Intra-Seasonal Tropical Oscillations, 2018-2019) were two field studies conducted collaboratively in the Southeast Asian region. While each study had its own set of science objectives, there were common and complementary science goals and instrument payloads between these two projects. Consequently, a synergistic partnership was established at the very beginning of the projects and a coordinated sampling strategy was developed to extend spatial coverage and obtain temporal context information, which bene
LISTOS Surface Mobile Platform In-Situ Data
LISTOS_SurfaceMobile_InSitu_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) surface mobile data collected via mobile platforms during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. This product features data collected by the Connecticut Department of Energy and Environmental Protection (CT DEEP) special purpose mobile monitor located on the Park City ferry on Long Island Sound and other mobile platforms. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.
HIT: a new versatile protein array platform for multi-analyte phenotyping of surface molecules
GEO Series GSE10665. Homo sapiens. 4 samples. Type: Other.
Strong Correlation of Gene Counts and Differentially Expressed Genes Between a 3′ RNA-Seq and RNA Hybridisation Platform in Transcriptome Analyses from Canine Archival Tissue [nCounter®]
GEO Series GSE261791. Canis lupus familiaris. 25 samples. Type: Expression profiling by array.
Highly accurate Skin-Specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging
GEO Series GSE151617. Homo sapiens. 50 samples. Type: Methylation profiling by genome tiling array.
Patient-derived xenograft platform for metastatic melanoma
GEO Series GSE73738. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Design of an improved host platform for the over expression of recombinant proteins in Escherichia coli
GEO Series GSE29440. Escherichia coli. 12 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.