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151 results for “optical properties”
CERES Daily Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A
CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Daily Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and associated cloud properties stratified by the optical depth and effective pressure Edition4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and CERES-FM3, FM4, and MODIS on Aqua. Data collection is ongoing. CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A provides instantaneous daytime CERES fluxes and CERES-MODIS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Day Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
CERES Monthly Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A
CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A provides the monthly mean daytime CERES fluxes and CERES-Moderate-Resolution Imaging Spectroradiometer (MODIS) cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
CERES Monthly Daytime Mean Regionally Averaged NOAA-20 TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition1B
CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged NOAA-20 Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 1B data product. Data was collected using CERES Flight Model 6 (FM6) and Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B provides the monthly mean daytime CERES fluxes and CERES-VIIRS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition1B product inputs Single Scanner Footprint (SSF) Edition1B footprint data. Within each footprint, all 1-km pixel-level VIIRS-retrieved cloud properties are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The VIIRS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes during the ORACLES-I Campaign: Results from the NASA GEOS Model
This dataset contains model results and satellite-based research retrievals associated with the manuscript submitted in Atmospheric Chemistry and Physics Journal, titled, " Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes in the NASA GEOS Model during the ORACLES-I Campaign". There were multiple NASA GEOS global model simulations performed for this study. Following are the name of the simulation and their description corresponding to the file names within this dataset: 1. Baseline: Default version of the GEOS model 2. Smoke Age: Default version of the GEOS model run with biomass burning OA tagged by day of the week it was emitted. 3. Smoke Composition: Default version of the GEOS model run with biomass burning OA tagged by type of vegetation burned. 4. OA-loss: Hydrophilic OA from biomass burning is assigned a 6-day e-folding loss time; OA from biomass burning sources is enhanced 60%, BC from biomass burning sources is enhanced 15%. 5. OA-loss+updated optics: As in OA-loss but with updated aerosol optical properties.
SNF Leaf Optical Properties: TMS
Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.
CALIPSO Lidar Level 2 Polar Stratospheric Clouds presents, composition, and optical properties, V2-00
The Version 2 (V2) CALIPSO Lidar Level 2 Polar Stratospheric Clouds (PSC) data product ensemble describes the spatial distribution, optical properties, and composition of PSC layers observed by the CALIPSO lidar (CALIOP). The product contains profiles of PSC presence, composition, optical properties, and meteorological information on a uniform 5-km horizontal x 180-m vertical grid along CALIPSO orbit tracks. Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensable vapors HNO3 and H2O and a number of parameters from the Aura MLS V2 Derived Meteorological Products (DMPs) are also included in the V2 PSC data product ensemble.
CERES Daily Daytime Mean Regionally Averaged NOAA-20 TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition1B
CER_FluxByCldTyp-Day_NOAA20-VIIRS_Edition1B is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged NOAA-20 Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 1B data product. Data was collected using CERES Flight Model 6 (FM6) and Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Data collection for this product is ongoing. CER_FluxByCldTyp-Day_NOAA20-VIIRS_Edition1B provides the monthly mean daytime CERES fluxes and CERES-VIIRS cloud properties that have been spatially gridded into 1° regions along both the NOAA-20 ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Day Edition1B product inputs Single Scanner Footprint (SSF) Edition1B footprint data. Within each footprint, all 1-km pixel-level VIIRS-retrieved cloud properties are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The VIIRS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a month.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
MMR Leaf Optical Properties Data (FIFE)
The Leaf Optical Properties from UNL Data Set contains leaf-level spectral observations acquired in situ with the Nebraska Multiband Leaf Radiometer (NMLR) coupled with a LiCor LI-1800-12 integrating sphere. The NMLR measured leaf reflectance and transmittance in the seven MMR bands. Data were collected in 1987, 1988, and 1989. During 1987, measurements were always made on the most recently expanded leaf of the selected plant. Measurements were made on a variety of forbs and grasses. During 1988, measurements were made on the most recently expanded leaf of the selected plant unless specified. Measurements were also made of older green, yellow and brown leaves on a plant. Measurements were usually made on grasses (i.e., Indian grass, Switch grass and Big bluestem). A few forbs were measured. The same leaf was sometimes measured throughout the day. During 1989, measurements were usually made on the most recently expanded leaf of the selected plant unless specified. Typically, leaves of the dominant grass species at a site were measured. At least two samples of each species were measured. Typically, during all collections (i.e., 1987 - 1989) an external light source with a restricted beam spot (slitted illuminator) was used to restrict the illumination spot on narrow grass leaves so that only leaf material was illuminated.
Dataset to accompany "Deposition of brown carbon onto snow: changes of snow optical and radiative properties" by Beres et al., 2020
<p>This dataset, organized in an Excel spreadsheet, accompanies:</p> <p>Beres, N. D., Sengupta, D., Samburova, V., Khlystov, A. Y., and Moosmüller, H.: Deposition of brown carbon onto snow: changes in snow optical and radiative properties, Atmos. Chem. Phys., 20, 6095–6114, https://doi.org/10.5194/acp-20-6095-2020, 2020.</p> <p>Each tab of the spreadsheet represents data presented in Tables and Figures of the manuscript, which allows for the replication of the figure or for use in calculations presented throughout the manuscript.</p> <p>Any questions or comments should be forwarded to the corresponding author.</p>
Optical properties and carrier dynamics in Co-doped ZnO nanorods
<p>The dataset includes the parts collected at EPFL, uploaded for open access in accordance to SNSF policy.</p>
Figure 4 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 4. Thermogravimetric analysis curve of α- and γ- Al2O3.
InTRaoperative Imaging DEvice Based on endogeNous opTical Properties to Evaluate Bowel Oxygenation in Colorectal Resections
ClinicalTrials.gov study NCT05973227. IPD Sharing: NO. Countries: 1. Publications: 0.
Measurement of the Distribution of Optical Properties in Adult Human Muscle
ClinicalTrials.gov study NCT00540683. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Measurements of Breast Tissue Optical Properties
ClinicalTrials.gov study NCT00540540. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bio-optical properties of the different water masses in the Gulf of St. Lawrence
The St. Lawrence ecosystem is a complex environment influenced by a variety of physical forces (runoff, winds, tides, bathymetry) that sustains a diverse food web going from phytoplankton to whales. Chlorophyll concentration is thus an important variable to measure at the scale of the ecosystem. Because of its large size, remote sensing is the only available tool to measure chlorophyll distribution in the St. Lawrence using ocean color imagery. To fully utilize this type of data, it is however important to have a sound knowledge of the bio-optical properties of the different water masses in the system. A St. Lawrence SeaWiFS program was thus built to gather this knowledge beginning in 1997.
Magnetic and all-optical switching properties of amorphous TbxCo100−x alloys
<p>Supporting data for the paper</p>
Measurement report: Brown Carbon Aerosol in Polluted Urban Air of North China Plain: Day-night Differences in the Chromophores and Optical Properties
<ul> <li> <p>Drawing data set of Yuquan Gong et al article</p> </li> </ul>
Precipitation and Optical Properties of Aerosols for ATTO Tower
Open the record for dataset details and reuse information.
NOAA-21 VIIRS Regional Inherent Optical Properties (IOP) - Near Real-time (NRT) Data, version R2022.0
The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.
Advanced Optical Properties Experiment (AOPEX) Program
Measurements made near Spain and Portugal under the AOPEX program.
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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.