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1,574 results for “atmospheres”
CAMEX-4 LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1
The CAMEX-4 LIDAR Atmospheric Sensing Experiment (LASE) dataset was collected by the LASE instrument, which is an airborne DIAL (Differential Absorption Lidar) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE operates by locking to a strong water vapor line and electronically tuning to any spectral position on the absorption line to choose the suitable absorption cross-section for optimum measurements over a range of water vapor concentrations in the atmosphere. During CAMEX-4, LASE operated from the NASA DC-8 using strong and weak water vapor lines in both the nadir and zenith modes, thereby simultaneously acquiring data below and above the aircraft.
MODIS/Terra Atmosphere Aeronet Subsetting Product
The MODIS/Terra Atmosphere Aeronet Subsetting Product (MODARNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a number of Aerosol Robotic Network (AERONET) sites. These sites comprise of sites of automatic tracking Sun photometers/sky radiometers located all over the world. The process of generating cutouts involves locating and identifying a subset of sites taken from a global AERONET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODARNSS data set consists of subsets for around 180 AERONET sites around the globe. There is one file per site with 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc.
Reduced Resolution Geophysical Product for Ocean, Land and Atmosphere
The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_RR__2P is the short-name for the MERIS Level-2 reduced resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmospheric parameters and annotation.
NOAA-18 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-18 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05Deg CMG, short-name N18_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N18_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format.
NOAA-16 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg. CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-16 AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05Deg CMG, short-name N16_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N16_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format.
Ground-Based GNSS-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) GLONASS daily accumulated real-time Precise Orbit Determination (POD) orbits (60-second sampling, 24-hour files) from NASA CDDIS
This product contains a time series of position and velocity components for healthy satellites in the GLONASS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the positions and velocities are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
NOAA-16 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG
The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product.The NOAA-16 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG, short-name N16_ AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N16_ AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).
CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery
The CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery dataset is a browse-only dataset that consists of plotted reflectivity data collected by the LiDAR Atmospheric Sensing Experiment (LASE) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. The LiDAR was mounted onboard the NASA DC-8 aircraft, and the daily browse files are available from August 21 through September 5, 1998 in GIF format.
NAMMA LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1
The NAMMA Lidar Atmospheric Sensing Experiment (LASE) dataset used the LASE system using the Differential Absorption Lidar (DIAL) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as atmospheric scattering ratios on a logarithmic scale. Water vapor data are reported as mixing ratios (g/kg) on both a linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.
Influence of elevated atmospheric carbon dioxide on transcriptional responses of Bradyrhizobium japonicum in the soybean rhizosphere
GEO Series GSE23296. Bradyrhizobium japonicum. 16 samples. Type: Expression profiling by array.
RNA sequencing analysis of gene expression in non-thermal atmospheric pressure plasma (NTAPP)-exposed and -unexposed human adipose tissue-derived stem cells (ASC) [Ex.1]
GEO Series GSE131384. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Atmospheric particulate matter aggravates CNS demyelination via TLR-4/NF-κB-mediated microglia pathogenic activities [ChIP-seq]
GEO Series GSE183097. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Atmospheric particulate matter aggravates CNS demyelination via TLR-4/NF-κB-mediated microglia pathogenic activities
GEO Series GSE183099. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
New evidence for atmospheric mercury transformations in the marine boundary layer-Part II
<p>The GIF image showed the three sampling cruises and wind field in this study.</p>
JGR atmosphere deposit
<p>The data is used in the JGR Atmosphere paper.</p>
Data for Silva et al. Graph Theory and Atmospheric Chemistry
<p>This is a zip file of the data used in Silva et al. Graph Theory and Atmospheric Chemistry.</p>
Atmospheric speciation of rocky planets from magma ocean outgassing
<p>EPSC 2020, session TP3, presentation slides + video recording</p>
Oxidative Potential of Atmospheric Particles in Europe: exposure scenarios and reduction strategies
<p>Code for the PM reduction matrices (main figure 4 and the supplementary figures 2-11) and data presented in the manuscript "Oxidative Potential of Atmospheric Particles in Europe: exposure scenarios and reduction strategies" (revised version of the former manuscript "Comprehensive observations Reveal High Variability in Oxidative Potential of Atmospheric Particles, prompting Shifts in European Reduction Strategies") submitted to Nature on 17th March 25. See the manuscript for full details of data contributors.</p> <p> </p> <p>Please consider the latest version (v5).</p>
Impact of Convective Parameterizations on Atmospheric Mesoscale Kinetic Energy Spectra in Global High-resolution Simulations
Open the record for dataset details and reuse information.
MAVEN SWIA Observations of Solar Wind Signatures1 in the Collisional Atmosphere of Mars
Open the record for dataset details and reuse information.
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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.