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19 results for “10km”
SM2RAIN-ASCAT (2007-2021) global daily satellite rainfall including aggregated values and trend parameters as 10km resolution GeoTIFFs
<p>This is a GeoTIFF version of the <a href="http://hydrology.irpi.cnr.it/download-area/sm2rain-data-sets/">SM2RAIN-ASCAT (2007-2021): global daily satellite rainfall from ASCAT soil moisture</a> data set v1.1 (Brocca et al. 2019). Conversion steps are available <a href="https://github.com/Envirometrix/LandGISmaps/tree/master/input_layers/SM2RAIN"><strong>here</strong></a>. Few important notes:</p> <ul> <li>Daily values are stored as integers, whereas in the NetCDF the dataset is rounded to one decimal place.</li> <li>The NetCDF has also a Quality Flag for a better and more informed use of the data (here omitted).</li> <li>P05, P50 and P95 indicate quantiles derived per pixel.</li> </ul> <p>Includes also long-term trends (trend.logit.ols) which was produced by fitting regression models to de-seasonalized time-series as explained in this <strong><a href="https://gitlab.com/openlandmap/global-layers/-/blob/master/input_layers/MOD13Q1/03-data-access.ipynb">python tutorial</a></strong>. Basically models are fitted for <strong>each pixel</strong> and the model parameters are saved as images.</p> <p>Monthly averages and s.d. of precipitation are available in the files:</p> <ul> <li>clm_precipitation_sm2rain.*_m_10km_s0..0cm_2007..2021_v1.5.tif = monthly precipitation in mm,</li> <li>clm_precipitation_sm2rain.*_sd.10_10km_s0..0cm_2007..2021_v1.5.tif = standard deviation of precipitation in mm * 10 per month (multiplied by 10 so Integers can be used),</li> </ul> <p>Downscaled monthly averages (1 km) are also available (<a href="https://doi.org/10.5281/zenodo.1435912">https://doi.org/10.5281/zenodo.1435912</a>).</p> <p>To cite this data set please refer to the <strong><a href="https://doi.org/10.5281/zenodo.2591214">original copy</a></strong> of the data set.</p> <ul> <li>Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., Wagner, W. (2019). <strong><a href="https://doi.org/10.5194/essd-11-1583-2019">SM2RAIN–ASCAT (2007–2018): global daily satellite rainfall data from ASCAT soil moisture observations</a></strong>. Earth Syst. Sci. Data, 11, 1583–1601. <a href="https://doi.org/10.5194/essd-11-1583-2019">https://doi.org/10.5194/essd-11-1583-2019</a></li> </ul>
MAGIC Deliverable D6.5: Shale gas development in the EU 10Km radius well grid scenario
<p>Geo data set of escenario of shale gas implementation in Europe. Developed for WP 6 of the <a href="https://magic-nexus.eu/">MAGIC-Nexus project</a>. It derives from a Geomodel of wells and a database of shale gas played developed by the <a href="https://ec.europa.eu/jrc/sites/jrcsh/files/pl1-britze.pdf">EUOGA </a>project. </p> <p><strong>DB Fields------------------------------------------</strong></p> <p>WELLid: Id of the well</p> <p>RBid: Id of the River Basin in which the well is located</p> <p>RBtxtINT: Name of the River Basin - English</p> <p>RBtxt: Name of the River Basin - Country's Name</p> <p>GWid: Groundwater basin ID</p> <p>PADid: ID of the extraction pad</p> <p>Formation: Shale formation</p> <p>Age: of the well </p> <p>Depth_avg: Average depth of the shale (inherited)</p> <p>Mature_avg: Average matureness of the shale (inherited)</p> <p>TOC_avg: Average Organic content of the shale (inherited)</p> <p>ThickGross: Gross Thickness of the shale play in meters (inherited)</p> <p>ThickNet_m: Net Thickness of the shale play in meters (inherited)</p> <p>EUOGA_Basi: Basin of the well according ot the EUOGA project database (inherited)</p> <p>Basin_inde: Id of the shale basin (inherited)</p> <p>NGS_Basin: Id of the BAsin as stated by the national geological service</p> <p>Shale_CP: Shale country </p> <p>RF_Maturit: Reference Maturity</p> <p>RF_Depth: Reference Depth</p> <p>CNTR_CODE, Country code</p> <p>NUTS_NAME: Name of the NUTS region</p> <p>NUTid: ID of the NUTS region</p> <p>x,y Coordinates of the well</p>
Output from the Glacier Energy and Mass Balance (GEMB v1.0) forced with 3-hourly ERA5 fields and gridded to 10km, Greenland and Antarctica 1979-2024
<p>These model output of firn air content (FAC) and surface mass balance (SMB) are from version 1.0 of the open-source Glacier Energy and Mass Balance model. GEMB is a column model of ice sheet and glacier surface-atmospheric energy and mass exchange as well as firn state. GEMB has been integrated into the open-source Ice-Sheet and Sea-level System Model which can be downloaded at https://issm.jpl.nasa.gov/. Here, GEMB is forced with 3-hourly ERA5 output from 1979 through end of 2024. For Greenland and its periphery, the ERA5 surface temperature and downwelling longwave radiation forcing are spatially bias-corrected for each month. All values are adjusted by the difference between the RACMO2.3 and the ERA5 1980-2015 monthly means. The GEMB output is bilinearly interpolated onto a 10km grid, from the native ISSM grid, and the output is given as 5-day output or as monthly.</p>
Satellite-driven 10km global root-zone soil moisture analysis for drought monitoring
<p>Root-zone soil moisture condition is an important component of water cycle at all spatial scales, as it controls various hydrological, biological and meteorological processes such as plant transpiration and hydraulic redistribution. Passive microwave remote sensing offers the possibility to access to near-surface (0 - 5cm) soil moisture measurements over large areas, providing valuable information for agricultural and water resource management. However, the spatial resolution of satellite soil moisture estimates from passive microwave sensor is relatively coarse (25 to 50km) and infrequent in time. Data assimilation algorithms are widely used to obtain spatially complete and daily continuous soil moisture estimates from intermittent remotely sensed soil moisture data and numerical models. </p> <p>The dataset contains the most recent global surface and root-zone soil moisture conditions at 10km generated from the Satellite-Guided Root-zone moisture Analysis and Forecasting System (S-GRAFS) from 2015 to 2022. S-GRAFS is a near-real time data assimilation system that combines complementary information from model simulations and satellite observations to provide soil moisture estimates at near surface and root-zone. In S-GRAFS, satellite soil moisture observations from Soil Moisture Active Passive (SMAP) are assimilated into a simple first-order autoregressive model that captures the soil moisture conditions in response to precipitation. Satellite precipitation from Global Precipitation Measurement (GPM) is used to drive the model to simulate near surface soil moisture at 5cm. The assimilation of SMAP data relies on the four-dimensional variational (4DVAR) method to adjust the modelled surface soil moisture towards observations within a 4-day assimilation window. Soil Water Index (SWI) is then derived from the analysed surface soil moisture using an exponential filter and represents the root-zone soil wetness at approximate 1m depth. The surface and root-zone wetness from S-GRAFS can be converted into absolute soil moisture content using soil physical properties to provide essential support for a wide variety of hydrological and agricultural applications.</p>
MODIS/Terra+Aqua Land Surface BRF Daily L2G Global 500m, 1km and 10km SIN Grid V006
The MCD19A1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MCD19A1 Version 6.1](https://doi.org/10.5067/MODIS/MCD19A1.061) data product.The MCD19A1 Version 6 data product is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Land Surface Bidirectional Reflectance Factor (BRF) gridded Level 2 product produced daily at 500 meter (m) and 1 kilometer (km) pixel resolutions. The MCD19A1 product is corrected for atmospheric gases and aerosols using a new MAIAC algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The MODIS MAIAC Land Surface BRF products provide an estimate of the surface spectral reflectance as it would be measured at ground-level in the absence of atmospheric scattering or absorption.The MCD19A1 MAIAC Surface Reflectance data product includes 34 Science Dataset (SDS) layers: surface reflectance for bands 1-12, BRF uncertainty for bands 1-2, snow fraction, snow grain size, snow fit, Quality Assessment (QA) bits at 1 km, surface reflectance for bands 1-7 at 500 m, cosine of solar zenith angle, cosine of view zenith angle, relative azimuth angle, scattering angle, solar azimuth angle, view azimuth angle, glint angle, RossThick/Li-Sparse (RTLS) volumetric kernel, and RTLS geometric kernel at 5 km. A low-resolution browse image is also included showing surface reflectance band combination 1, 4, 3 created using a composite of all available orbits.Each SDS layer within each MCD19A1 Hierarchical Data Format 4 (HDF4) file contains a third dimension that represents the number of orbit overpasses. This factor could affect the total number of bands for each SDS layer.Known Issues* The longname in the internal metadata is provided incorrectly. The correct longname is "MODIS/Terra and Aqua MAIAC Land Surface BRF Daily L2G Global 500 m and 1 km SIN Grid."* Known issues are described on page 14 of the User Guide.* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=6).
MODIS/Terra Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km
The MODIS/Terra Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km (MODATML2) product contains a combination of key high interest science parameters. The ATML2 product provides a subset of datasets from the suite of atmosphere team products on both a 10 km scale (aerosols) and 5km scale (native 5 km cloud properties and a 5x5 pixel sample of the 1km cloud datasets). The ATML2 product employs the same 5x5 pixel sampling scheme for the 1km native resolution Level 2 products as is used in the MOD08 Level 3 global aggregated product, an approach that has been shown to retain statistical integrity for multi-day aggregations. The C6 significantly increases the number of datasets included in the ATML2 product, including the full suite of QA datasets. Since the ATML2 data granule file size is significantly smaller than the combined size of the individual L2 products, and because the 1 km pixel sampling is consistent with the L3 algorithm, the ATML2 product is a more practical means for the user community to develop research L3 algorithms for their own specific purposes.For more information, visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/joint-atm
MODIS/Terra Near Real Time (NRT) Aerosol 5-Min L2 Swath 10km
The MODIS level-2 atmospheric aerosol product (MOD04_L2) continues to provide full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MOD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MOD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS).Based on C5 validation studies, a number of Science Data Sets (SDSs) have been deleted from the DT product (Angstrom_Exponent_Land, Optical_Depth_Small_Land, etc.) while a number of SDSs have been renamed or added. A number of algorithm changes have lead to significant changes in regional aerosol product statistics (see link above). For C6, the DT algorithm team now provides a new 3 km spatial resolution product intended for the air quality community; this is provided in a separate file (M*D04_3K).In C5, the DB algorithm was limited to only bright targets. With C6, the DB team has expanded coverage to include both bright targets and vegetated regions, using NDVI information in addition to a precalculated surface reflectance database. New DB products for C6 include an estimate on the aerosol retrieval uncertainty to assist with error analyses as well as a best estimate SDS containing the aerosol optical thickness data with quality assurance flags already applied (SDS names Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty and Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate respectively). In addition to separate DT and DB retrievals, the C6 product now provides a merged (SDS) that combines both types of retrievals (SDS name AOD_550_Dark_Target_Deep_Blue_Combined). This SDS uses a combination of scene NDVI and retrieval Quality Assessment (QA) assignments to select one of the retrievals (if any) or an average of the two retrievals. Ocean retrievals from the DT algorithm are also provided if they have a sufficiently high retrieval QA value.The file consists of following pixel level gridded aerosol parameters. These pixel level gridded aerosol parameters are stored as Scientific Data Sets(SDS) within the file:MODIS Data Category & ParametersSpatial & Temporal Resolution:Longitude, Latitude, Scan_Start_TimeSolar and Sensor Viewing Geometry:Solar_Zenith, Solar_Azimuth, Sensor_Zenith, Sensor_AzimuthAerosol Parameters for Land & Ocean (Combined):Scattering_Angle, Land_sea_Flag, Aerosol_Cldmask_Land_Ocean, Cloud_Pixel_Distance_Land_Ocean, Land_Ocean_Quality_Flag, Optical_Depth_Land_And_Ocean, Image_Optical_Depth_Land_And_Ocean, Average_Cloud_Pixel_Distance_Land_OceanAerosol Parameters from Land Retrieval Algorithm:Aerosol_Type_Land, Fitting_Error_Land, Surface_Reflectance_Land, Corrected_Optical_Depth_Land, Corrected_Optical_Depth_Land_wav2p1, Optical_Depth_Ratio_Small_Land, Number_Pixels_Used_Land, Mean_Reflectance_Land, STD_Reflectance_Land, Mass_Concentration_Land, Aerosol_Cloud_Fraction_Land, Quality_Assurance_Land, Topographic_Altitude_LandAerosol Parameters from Ocean Retrieval Algorithm:Solution_Index_Ocean_Small, Solution_Index_Ocean_Large, Effective_Optical_Depth_Best_Ocean, Effective_Optical_Depth_Average_Ocean, Optical_Depth_Small_Best_Ocean, Optical_Depth_Small_Average_Ocean, Optical_Depth_Large_Best_Ocean, Optical_Depth_Large_Average_Ocean, Mass_Concentration_Ocean, Aerosol_Cloud_Fraction_Ocean, Effective_Radius_Ocean, Effective_Optical_Depth_0p55um_Ocean, PSML003_Ocean, Asymmetry_Factor_Best_Ocean, Asymmetry_Factor_Average_Ocean, Backscattering_Ratio_Best_Ocean, Backscattering_Ratio_Average_Ocean, Angstrom_Exponent_1_Ocean, Angstrom_Exponent_2_Ocean, Least_Squares_Error_Ocean, Optical_Depth_Ratio_Small_Ocean_0.55micron, Optical_Depth_by_models_ocean, Number_Pixels_Used_Ocean, Mean_Reflectance_Ocean;, STD_Reflectance_Ocean, byte Quality_Assurance_Ocean, Glint_Angle, Wind_Speed_Ncep_OceanAerosol Parameters from Deep Blue Retrieval Algorithm:Deep_Blue_Aerosol_Optical_Depth_550_Land, Deep_Blue_Spectral_Aerosol_Optical_Depth_Land, Deep_Blue_Angstrom_Exponent_Land, Deep_Blue_Spectral_Single_Scattering_Albedo_Land, Deep_Blue_Spectral_Surface_Reflectance_Land, Deep_Blue_Spectral_TOA_Reflectance_Land, Deep_Blue_Number_Pixels_Used_550_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_STD, Deep_Blue_Cloud_Fraction_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag, Deep_Blue_Algorithm_Flag_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate, Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_UncertaintyAerosol Parameters from Dark Target/Deep Blue Combine Algorithm:AOD_550_Dark_Target_Deep_Blue_Combined, AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag, AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_FlagThese aerosol par
MODIS/Terra Aerosol 5-Min L2 Swath 10km
The MODIS/Terra Aerosol 5-Min L2 Swath 10km (MOD04_L2) product provides full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MOD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MOD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS).The new Collection 6.1 (C61) MOD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5 and in earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community.For more information visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/aerosolAnd, for C6.1 changes and updates, visit:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
MODIS/Aqua Aerosol 5-Min L2 Swath Subset 10km along MLS V002 (MAM04S0) at GES DISC
This is the MODIS/Aqua subset along MLS field of view track. The goal of the subset is to select and return MODIS data that are within +-100 km across the MLS track. I.e. the resultant MODIS subset swath is sought to be about 200 km cross-track. However, the original MYD04_L2 has 10-km pixels. Thus, MAM04S0 cross-track width is 21 pixels, and the resultant cross-track swath width is about 200 km. Along-track, all MODIS pixels from the original product are preserved. In the stardard product, the MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties (e.g., optical thickness and size distribution), mass concentration, look-up table derived reflected and transmitted fluxes, as well as quality assurance and other ancillary parameters, globally over ocean and near globally over land. (The shortname for this product is MAM04S0).
MODIS/Aqua Aerosol 5-Min L2 Swath 10km
The MODIS/Aqua Aerosol 5-Min L2 Swath 10km product (MYD04_L2) provides full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MYD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MYD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS).The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5 and in earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community.For more information visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/aerosolAnd, for C6.1 changes and updates, visit:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
MODIS/Terra Aerosol 5-Min L2 Swath 10km - NRT
The new Collection 6.1 (C61) MOD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community.For more information visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/aerosolAnd, for C6.1 changes and updates, visit:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km
The MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km (MYDATML2) product contains a combination of key high interest science parameters. The ATML2 product provides a subset of datasets from the suite of atmosphere team products on both a 10 km scale (aerosols) and 5km scale (native 5 km cloud properties and a 5x5 pixel sample of the 1km cloud datasets). The ATML2 product employs the same 5x5 pixel sampling scheme for the 1km native resolution Level 2 products as is used in the MOD08 Level 3 global aggregated product, an approach that has been shown to retain statistical integrity for multi-day aggregations. The C6 significantly increases the number of datasets included in the ATML2 product, including the full suite of QA datasets. Since the ATML2 data granule file size is significantly smaller than the combined size of the individual L2 products, and because the 1 km pixel sampling is consistent with the L3 algorithm, the ATML2 product is a more practical means for the user community to develop research L3 algorithms for their own specific purposes.For more information, visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/joint-atm
MODIS/Aqua Aerosol 10km 5-Min L2 Narrow Swath Subset along CloudSat V002 (MAC04S0) at GES DISC
This is the narrow-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the narrow-swath subset is to select and return MODIS data that are within +-5 km across the CloudSat track. I.e. the resultant MODIS subset swath is sought to be about 10 km cross-track.However, the original MYD04_L2 has 10-km pixels. Thus, MAC04S0 cross-track width is 2 pixels, the closest on either side of CloudSat track, and the resultant cross-track swath width is about 20 km.Along-track, all MODIS pixels from the original product are preserved. In the stardard product, the MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties (e.g., optical thickness and size distribution), mass concentration, look-up table derived reflected and transmitted fluxes, as well as quality assurance and other ancillary parameters, globally over ocean and near globally over land. (The shortname for this product is MAC04S0).
MODIS/Aqua Near Real Time (NRT) Aerosol 5-Min L2 Swath 10km
The MODIS level-2 atmospheric aerosol product (MYD04_L2) continues to provide full global coverage of aerosol properties from the Dark Target (DT) and Deep Blue (DB) algorithms. The DT algorithm is applied over ocean and dark land (e.g., vegetation), while the DB algorithm now covers the entire land areas including both dark and bright surfaces. Both results are provided on a 10x10 pixel scale (10 km at nadir). Each MYD04_L2 product file covers a five-minute time interval. The output grid is 135 pixels in width by 203 pixels in length. Every tenth file has an output grid size of 135 by 204 pixels. MYD04_L2 product files are stored in Hierarchical Data Format (HDF-EOS).Based on C5 validation studies, a number of Science Data Sets (SDSs) have been deleted from the DT product (Angstrom_Exponent_Land, Optical_Depth_Small_Land, etc.) while a number of SDSs have been renamed or added. A number of algorithm changes have lead to significant changes in regional aerosol product statistics (see link above). For C6, the DT algorithm team now provides a new 3 km spatial resolution product intended for the air quality community; this is provided in a separate file (M*D04_3K).In C5, the DB algorithm was limited to only bright targets. With C6, the DB team has expanded coverage to include both bright targets and vegetated regions, using NDVI information in addition to a precalculated surface reflectance database. New DB products for C6 include an estimate on the aerosol retrieval uncertainty to assist with error analyses as well as a best estimate SDS containing the aerosol optical thickness data with quality assurance flags already applied (SDS names Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty and Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate respectively). In addition to separate DT and DB retrievals, the C6 product now provides a merged (SDS) that combines both types of retrievals (SDS name AOD_550_Dark_Target_Deep_Blue_Combined). This SDS uses a combination of scene NDVI and retrieval Quality Assessment (QA) assignments to select one of the retrievals (if any) or an average of the two retrievals. Ocean retrievals from the DT algorithm are also provided if they have a sufficiently high retrieval QA value.The file consists of following pixel level gridded aerosol parameters. These pixel level gridded aerosol parameters are stored as Scientific Data Sets(SDS) within the file:MODIS Data Category & ParametersSpatial & Temporal Resolution:Longitude, Latitude, Scan_Start_TimeSolar and Sensor Viewing Geometry:Solar_Zenith, Solar_Azimuth, Sensor_Zenith, Sensor_AzimuthAerosol Parameters for Land & Ocean (Combined):Scattering_Angle, Land_sea_Flag, Aerosol_Cldmask_Land_Ocean, Cloud_Pixel_Distance_Land_Ocean, Land_Ocean_Quality_Flag, Optical_Depth_Land_And_Ocean, Image_Optical_Depth_Land_And_Ocean, Average_Cloud_Pixel_Distance_Land_OceanAerosol Parameters from Land Retrieval Algorithm:Aerosol_Type_Land, Fitting_Error_Land, Surface_Reflectance_Land, Corrected_Optical_Depth_Land, Corrected_Optical_Depth_Land_wav2p1, Optical_Depth_Ratio_Small_Land, Number_Pixels_Used_Land, Mean_Reflectance_Land, STD_Reflectance_Land, Mass_Concentration_Land, Aerosol_Cloud_Fraction_Land, Quality_Assurance_Land, Topographic_Altitude_LandAerosol Parameters from Ocean Retrieval Algorithm:Solution_Index_Ocean_Small, Solution_Index_Ocean_Large, Effective_Optical_Depth_Best_Ocean, Effective_Optical_Depth_Average_Ocean, Optical_Depth_Small_Best_Ocean, Optical_Depth_Small_Average_Ocean, Optical_Depth_Large_Best_Ocean, Optical_Depth_Large_Average_Ocean, Mass_Concentration_Ocean, Aerosol_Cloud_Fraction_Ocean, Effective_Radius_Ocean, Effective_Optical_Depth_0p55um_Ocean, PSML003_Ocean, Asymmetry_Factor_Best_Ocean, Asymmetry_Factor_Average_Ocean, Backscattering_Ratio_Best_Ocean, Backscattering_Ratio_Average_Ocean, Angstrom_Exponent_1_Ocean, Angstrom_Exponent_2_Ocean, Least_Squares_Error_Ocean, Optical_Depth_Ratio_Small_Ocean_0.55micron, Optical_Depth_by_models_ocean, Number_Pixels_Used_Ocean, Mean_Reflectance_Ocean;, STD_Reflectance_Ocean, byte Quality_Assurance_Ocean, Glint_Angle, Wind_Speed_Ncep_OceanAerosol Parameters from Deep Blue Retrieval Algorithm:Deep_Blue_Aerosol_Optical_Depth_550_Land, Deep_Blue_Spectral_Aerosol_Optical_Depth_Land, Deep_Blue_Angstrom_Exponent_Land, Deep_Blue_Spectral_Single_Scattering_Albedo_Land, Deep_Blue_Spectral_Surface_Reflectance_Land, Deep_Blue_Spectral_TOA_Reflectance_Land, Deep_Blue_Number_Pixels_Used_550_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_STD, Deep_Blue_Cloud_Fraction_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag, Deep_Blue_Algorithm_Flag_Land, Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate, Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_UncertaintyAerosol Parameters from Dark Target/Deep Blue Combine Algorithm:AOD_550_Dark_Target_Deep_Blue_Combined, AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag, AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_FlagThese aerosol par
MODIS/Aqua Aerosol 10km 5-Min L2 Wide Swath Subset along CloudSat V002 (MAC04S1) at GES DISC
This is the wide-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the wide-swath subset is to select and return MODIS data that are within +-100 km across the CloudSat track. I.e. the resultant MODIS subset swath is sought to be about 200 km cross-track. However, the original MYD04_L2 has 10-km pixels. Thus, MAC04S1 cross-track width is 21 pixels, and the resultant cross-track swath width is about 200 km. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties (e.g., optical thickness and size distribution), mass concentration, look-up table derived reflected and transmitted fluxes, as well as quality assurance and other ancillary parameters, globally over ocean and near globally over land. (The shortname for this product is MAC04S1).
MODIS/Aqua Aerosol 5-Min L2 Swath 10km - NRT
The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community.For more information visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/aerosolAnd, for C6.1 changes and updates, visit:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
Cold Water Immersion in the Recovery of Markers of Muscle Damage of 10km Street Runners
ClinicalTrials.gov study NCT03094689. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Station locations for the 20km x 10km Palmer Station Antarctica LTER sampling grid.
The Palmer LTER established from the program onset both a regional grid (900km x 200km West of the Antarctic peninsula) as well as a Palmer basin grid (within 2 mile limit of station) as organizing elements of the annual sampling strategy. Grid locations West of the Antarctic Peninsula may be calculated from latitude-longitude coordinates in order to establish a location within the LTER regional grid reference frame.
Station locations for the full Palmer Station Antarctica LTER sampling grid including the 20km x 10km grid, 5km x 5km grid, inshore stations, Palmer basin stations, high density grid, picket line 10km, picket line 3km and picket line multi.
The Palmer LTER established from the program onset both a regional grid (900km x 200km West of the Antarctic peninsula) as well as a Palmer basin grid (within 2 mile limit of station) as organizing elements of the annual sampling strategy. Grid locations West of the Antarctic Peninsula may be calculated from latitude-longitude coordinates in order to establish a location within the LTER regional grid reference frame.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.