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622 results for “High altitude”
High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW V1
The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available from August 17, 2021 through September 4, 2021 in netCDF-3 format, with associated browse files in PNG format.
CAMEX-4 HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1
The CAMEX-4 High Altitude MMIC Sounding Radiometer (HAMSR) dataset was collected by the High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), which is a microwave atmospheric sounder recently developed by JPL under the NASA Instrument Incubator Program. Operating with 25 spectral channels in the 50-190 HGz region, it provides measurements that can be used to infer the 3-D distribution of temperature, water vapor, and liquid water in the atmosphere, even in the presence of clouds. HAMSR was mounted in a wing pod of a NASA ER-2 research aircraft.
STAQS NASA G-III High Altitude Lidar Observatory (HALO) Data
STAQS_AircraftRemoteSensing_NASA-G3_HALO_Data is the remotely sensed trace gas data for the NASA Gulfstream III aircraft taken by the High Altitude Lidar Observatory (HALO) instrument as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete.Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, and assessing the benefit of assimilating TEMPO data into chemical transport models.
CAMEX-4 ER-2 HIGH ALTITUDE DROPSONDE V1
The CAMEX-4 ER-2 High Altitude Dropsonde dataset was collected by the ER-2 High Altitude Dropsonde System (EHAD), which used dropwinsondes fitted with Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temp, humidity, windspeed/direction, pressure) and location in 3 dimensional space during the sonde's descent once each half second. Measurements was transmitted to the aircraft from the time of release until impact with the ocean's surface.
High Resolution Altitude Corrected Precipitation based on TMPA and other sources L4 Monthly 1 km x 1 km V1 (HRAC_Precip) at GES DISC
This is a dataset that enhances the TMPA monthly product (3B43) in its accuracy and spatial resolution, in hydrometeorological applications. About 9,200 gauge measurement are used to compare with the 3B43 product at 0.25° x 0.25° spatial resolution across the CONUS. Observed is a strong relationship between the bias and land surface elevation, in which 3B43 underestimates the true precipitation at the elevations above 1,500 m amsl. Satellite data is resampled to elevation data at ~1km grid size and applied a correction function to reduce bias in the data. Accordingly, a High-Resolution Altitude-Corrected product is constructed, based on 3B43 and covering the entire CONUS at 1-km resolution. This product is verified against 9,200 gauges across the country. The results showed a substantial improvement in the satellite-gauge data accuracy as well as spatial resolution.
HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1
The Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain dataset was collected from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ku- and Ka-band, or approximately 14 and 35 GHz), dual-beam (30 degree and 40 degree incidence angle), conically scanning radar that has been designed for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HIWRAP uses solid state transmitters along with a novel pulse compression scheme that results in a system that is considerably more compact and requires less power than typical radars used for precipitation and wind measurements. By conically scanning at 10-20 rpm, its beams sweeped below the Global Hawk collecting Doppler velocity/reflectivity profiles. The unique HIWRAP sampling and phase correction strategy implemented (frequency diversity Doppler processing technique). HIWRAP's dual-wavelength operation enables it to map full tropospheric winds from cloud and precipitation volume backscatter measurements, derive information about precipitation drop-size distributions, and estimate the ocean surface winds using scatterometry techniques. Winds will be retrieved using a gridding approach similar to well-established ground-based multi-Doppler radar wind analyses. More information can be found at http://har.gsfc.nasa.gov/index.php?section
NAMMA HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1
The NAMMA High Altitude MMIC Sounding Radiometer (HAMSR) dataset consists of data collected by HAMSR, which is a 25-channel microwave atmospheric sounder operating as a cross-track scanner. It operates with three bands: an 8-channel band centered around 50 GHz, used for primary temperature sounding; a 10-channel band centered around 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered around 183 GHz, used for water vapor (humidity) sounding. The instrument continuously self-calibrates by using internal calibration targets. Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels. Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding. Temperature weighting function peaks are distributed between the surface and the flight altitude. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.
High altitude adaptation of Tibetans
GEO Series GSE89635. Homo sapiens. 30 samples. Type: Genome variation profiling by SNP array.
Population Structure, and Selection Signatures underlying High-Altitude Adaptation Inferred from Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
GEO Series GSE142218. Bos indicus; Bos grunniens; Bos taurus. 355 samples. Type: Genome variation profiling by SNP array.
High-altitude hypoxia exposure inhibits erythrophagocytosis by inducing macrophage ferroptosis in the spleen
GEO Series GSE263133. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis provides insights into the high-altitude adaptation in domestic goats
GEO Series GSE66242. Capra hircus. 27 samples. Type: Expression profiling by high throughput sequencing.
Comparative microRNA Transcriptome in Domestic Goats Reveals Adaptation to High Altitude
GEO Series GSE125665. Capra hircus. 36 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Molecular mechanisms in lung tissue of yak provide insights into high-altitude adaptation by transcriptome-wide analysis
GEO Series GSE153963. Bos grunniens; Bos taurus. 22 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edema
GEO Series GSE291471. Homo sapiens. 83 samples. Type: Expression profiling by high throughput sequencing.
Small non-coding RNA transcriptome of four high-altitude vertebrates and their low-altitude relatives
GEO Series GSE124418. Gallus gallus; Bos grunniens; Ovis aries; Sus scrofa; Bos taurus. 126 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Molecular mechanisms in lung tissue of yak provide insights into high-altitude adaptation by transcriptome-wide analysis [miRNA-seq]
GEO Series GSE153962. Bos grunniens; Bos taurus. 11 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Gene Co-Expression Network Analysis Unraveling Transcriptional Regulation of High-altitude Adaptation of Tibetan Pigs
GEO Series GSE84409. Sus scrofa. 8 samples. Type: Expression profiling by array.
A time-resolved multi-omics atlas of transcriptional regulation in response to high-altitude hypoxia across whole-body tissues
GEO Series GSE261409. Ovis aries. 1277 samples. Type: Expression profiling by high throughput sequencing.
Genome Resequencing Identifies Unique Adaptations of Tibetan Chickens to Hypoxia and High-dose Ultraviolet Radiation in High-altitude Environments
GEO Series GSE77166. Gallus gallus. 8 samples. Type: Expression profiling by high throughput sequencing.
Figure 2 from: Wu C, Liu C-X (2020) New record of Didymocorypha Wood-Mason (Mantodea, Eremiaphilidae) from China, with description of a new high-altitude wingless mantis species in Asia. ZooKeys 922: 51-64. https://doi.org/10.3897/zookeys.922.47987
Figure 2 Didymocorypha libaii sp. nov. adult female in its natural habitat.
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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.