AndreaBozzo/ceres-open-data-index huggingface dataset:
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RN11) (8-Days,1km)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RN11) (8-Days, 1km) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level 2 atmospheric corrected land surface reflectance tile product as input, BRDF correction is performed for the land surface in clear region using data of multiple days, and the reflectance equivalent to that at nadir view direction is stored in the output product. The region definition and spatial resolutions of the output product are kept the input data. In 8-days processing, the land surface reflectance data of the past 24 days, respectively are fitted to generate appropriate BRDF models with the correction coefficients. GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. This dataset includes of following SDs (Center Wavelength is correspond to channel name as same as L1B):  Rs_VN11P_AVE is Average surface reflectance [unit: none] Rs_VN11P_Date is Date identification of surface reflectance [unit: none] Rs_VN11P_MAX is Maximum of surface reflectance [unit: none] Rs_VN11P_MIN is Minimum of surface reflectance [unit: none] Rs_VN11P_Ninput is Input data number of surface reflectance [unit: none] Rs_VN11P_Nused is Used data number of surface reflectance [unit: none] Rs_VN11P_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_VN11P_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_VN11P_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 1 km. The statistical period is 8 days also 1 month statistics is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available.
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RV07) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RV07) (1-Month, 250m) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level 2 atmospheric corrected land surface reflectance tile product as input, BRDF correction is performed for the land surface in clear region using data of multiple days, and the reflectance equivalent to that at nadir view direction is stored in the output product. The region definition and spatial resolutions of the output product are kept the input data. In 1-Month processing, the land surface reflectance data of the past 1 month, respectively are fitted to generate appropriate BRDF models with the correction coefficients. GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band.This dataset includes of following SDs (Center Wavelength is correspond to channel name as same as L1B):  Rs_VN07_AVE is Average surface reflectance [unit: none] Rs_VN07_Date is Date identification of surface reflectance [unit: none] Rs_VN07_MAX is Maximum of surface reflectance [unit: none] Rs_VN07_MIN is Minimum of surface reflectance [unit: none] Rs_VN07_Ninput is Input data number of surface reflectance [unit: none] Rs_VN07_Nused is Used data number of surface reflectance [unit: none] Rs_VN07_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_VN07_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_VN07_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 1 month also 8 days statistics is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available.
Aqua/AMSR-E L3 AMSR2 Format 89.0GHz  Mean for Brightness Temperature (1-Month, 0.25 deg)

Aqua/AMSR-E L3 AMSR2 Format 89.0GHz Mean for Brightness Temperature (1-Month, 0.25 deg) dataset is obtained from the AMSR-E sensor onboard Aqua and produced by the Japan Aerospace Exploration Agency (JAXA). Aqua of NASA was launched on May 4th, 2002 in Sun-synchronous sub-recurrent Orbit. Aqua observes various kinds of physical phenomena related to water and energy circulation from space. Aqua data promoted the research activities for interactions between the atmosphere, oceans and lands, and their effects on climate changes. AMSR-E scans the Earth's surface by mechanically rotating the antenna and acquires radiance data of the Earth's surface. Each frequency band is monitored by vertical and horizontal polarized wave. It conically scans and keeps an angle of incidence on the earth surface (a nominal of 55 degrees) and accomplishes a swath width of about 1450 km. The AMSR-E reached its limit to maintain the antenna rotation speed necessary for regular observations, and the AMSR-E restarted its observation in slow rotation mode (2 rotations per minute) on December 4, 2012. However, the AMSR-E reached its limit to maintain the antenna rotation speed necessary for slow rotation mode and it automatically halted its observation and rotation on December 4, 2015. Level 3 data inputs level 1B and level 2 data and projected to the map in accordance with the specified projection technique (Equi-Rectangular (EQR) or Polar Stereographic (PS)), and then averaged temporally and spatially. These statistical values are computed for observation data on ascending orbit and descending orbit respectively. This product includes monthly mean Brightness Temperature at 89.0GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)). Values that are calculated from sensor counts and are proportional to the power of observed electromagnetic wave. Unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately.  The following Static information is included: Standard_Deviation: standard deviation value for each pixel. This item is only stored in monthly product. Average_Number: the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number: the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The spatial resolution is 0.25 deg. The statistical period is 1 month. The current version of the product is "Version 4". The projection method is EQR and PS. The generation unit is global.
Aqua/AMSR-E L3 AMSR2 Format Total Precipitable Water (1-Month, 0.1 deg)

Aqua/AMSR-E L3 AMSR2 Format Total Precipitable Water (1-Month, 0.1 deg) dataset is obtained from the AMSR-E sensor onboard Aqua and produced by the Japan Aerospace Exploration Agency (JAXA). Aqua of NASA was launched on May 4th, 2002 in Sun-synchronous sub-recurrent Orbit. Aqua observes various kinds of physical phenomena related to water and energy circulation from space. Aqua data promoted the research activities for interactions between the atmosphere, oceans and lands, and their effects on climate changes. AMSR-E scans the Earth's surface by mechanically rotating the antenna and acquires radiance data of the Earth's surface. Each frequency band is monitored by vertical and horizontal polarized wave. It conically scans and keeps an angle of incidence on the earth surface (a nominal of 55 degrees) and accomplishes a swath width of about 1450 km. The AMSR-E reached its limit to maintain the antenna rotation speed necessary for regular observations, and the AMSR-E restarted its observation in slow rotation mode (2 rotations per minute) on December 4, 2012. However, the AMSR-E reached its limit to maintain the antenna rotation speed necessary for slow rotation mode and it automatically halted its observation and rotation on December 4, 2015. Level 3 data inputs level 1B and level 2 data and projected to the map in accordance with the specified projection technique (Equi-Rectangular (EQR) or Polar Stereographic (PS)), and then averaged temporally and spatially. These statistical values are computed for observation data on ascending orbit and descending orbit respectively. This product includes monthly mean Total Precipitable Water (TPW). PWI (water vapor index) is converted to total water vapor content (PWA, kg/m^2) using a look-up table, which is designed as the provability of PWA with AMSR retrievals is equivalent to that of PWA with radio sonde. The physical quantity unit is kg/m^2. The following Static information is included: Standard_Deviation: standard deviation value for each pixel. This item is only stored in monthly product. Average_Number: the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number: the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The spatial resolution is 0.1 deg. The statistical period is 1 month. The current version of the product is "Version 8". The projection method is EQR. The generation unit is global.
GCOM-C/SGLI L3 Map Water cloud effective radius (8-Days,1/12 deg)

GCOM-C/SGLI L3 Map Water cloud effective radius (8-Days,1/12 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is 8 days map-projected statistics product. This dataset includes water cloud effective radius. The physical quantity unit is micro meter. The stored statistics values are average (AVE) and quality flag (QA_flag).The provided format is HDF5. The Spatial resolution is 1/12 degree. The statistical period is 8 days, also 1 day and 1 month statistics are available. The projection method is EQR. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. CLIMATE APPLICATIONS: - Predicting El Nino and La Nina Events  - Forecasting Typhoon Intensity and Monsoon Rainfall  - Predicting Fishery Yields  - Studying Coral Reef Bleaching

NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. CLIMATE APPLICATIONS: - Predicting El Nino and La Nina Events  - Forecasting Typhoon Intensity and Monsoon Rainfall  - Predicting Fishery Yields  - Studying Coral Reef Bleaching. OFFICIAL CITATION: Richard W. Reynolds, Viva F. Banzon, and NOAA CDR Program (2008): NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. [indicate subset used]. NOAA National Climatic Data Center. doi:10.7289/V5SQ8XB5 [access date]
GCOM-C/SGLI L3 Map Atmospheric corrected reflectance(RV05) (1-Day,1/24 deg)

GCOM-C/SGLI L3 Map Atmospheric corrected reflectance (RV05) (1-Day,1/24 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is daily map-projected statistics product. This dataset includes Surface reflectance of RV05 (Center Wavelength is 530 nm) and QA_Flag. The physical quantity unit is dimensionless. The stored statistics values are average (AVE) and quality flag (QA_flag). The provided format is HDF5. The spatial resolution is 1/24 degree. The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQR. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
ADEOS/2GLI L1A 250m

ADEOS-II/GLI L1A Middle and thermal infrared is obtained from the GLI (Global-Imager) sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA). Global environment change has become a worldwide concern in recent years. In order to clarify these environmental changes, the Advanced Earth Observing Satellite (ADEOS-II, renamed "Midori II" after launch) has been developed for the purpose of monitoring the Earth environment using remote sensing technology from space. Midori II carries mission instruments that are particularly dedicated to clarify the water energy cycle and the carbon cycle, and is expected to be utilized for international climate change research programs. GLI an optical sensor that observes the reflected solar radiation from the Earth's surface, including land, oceans and clouds and/or infrared radiation with a multi-channel system for measuring the biological content. The dataset resolution is 1 km. GLI-250m's uncorrected data (ch 20,21,22,23,28,29, wavelength 460, 545, 660, 825, 1640, 2210 nm) with missing frames filled with dummy data. Radiometric and geometric correction coefficients, missing data flag, and so forth are attached.   The dataset resolution is 250 m. The provided format is HDF. Image data are grouped in bands. All pixel data of a band are arranged in lines forming a contiguous image scene. The current version of the product is "Version 2".
GCOM-C/SGLI L3 Binned Water cloud effective radius (1-Day,1/12 deg)

GCOM-C/SGLI L3 Binned Water cloud effective radius (1-Day,1/12 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is daily spatial binning statistics product by reducing the spatial resolution to 1/12 deg with EQA projection.This dataset includes water cloud effective radius. The physical quantity unit is micro meter.  The stored statistics values are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag).The provided format is HDF5. The Spatial resolution is 1/12 degree. The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQA. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
GCOM-C/SGLI L3 Binned Normalized Difference Vegetation Index (NDVI) (1-Day,1/24 deg)

GCOM-C/SGLI L3 Binned Normalized Difference Vegetation Index (NDVI) (1-Day,1/24 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is daily spatial binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection.This dataset includes NDVI: Normalized Difference Vegetation Index and QA_flag. Physical quantity unit is dimensionless. The stored statistics values are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag).The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQA. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
GCOM-C/SGLI L2 Statistics-Normalized Difference Vegetation Index (NDVI) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Normalized Difference Vegetation Index (NDVI) (1-Month,250m) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 2 statistics products are using the Level2 product of land and cryosphere (Daily, Tile, 250 m or 1 km resolution) as input, it calculates and outputs the temporal statistics of 8-days or 1-month. The region definition and spatial resolutions of the output product are kept those of input data.This dataset includes Normalized Difference Vegetation Index (NDVI). The physical quantity unit is dimensionless.The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 1 month also 8 days statistics is available. The projection method is EQA. The generation unit is "Tile". The current version of the product is Version 3. The Version 2 is also available.
ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Day)

ADEOS OCTS L3BM GAC OCC 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is "mg/m-3". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe.
Aqua/AMSR-E L3 Amount of Precipitation (1-Month, 0.25 deg)

Aqua/AMSR-E L3 Amount of Precipitation (1-Month, 0.25 deg) dataset is obtained from the AMSR-E sensor onboard Aqua and produced by the Japan Aerospace Exploration Agency (JAXA). Aqua of NASA was launched on May 4th, 2002 in Sun-synchronous sub-recurrent Orbit. Aqua observes various kinds of physical phenomena related to water and energy circulation from space. Aqua data promoted the research activities for interactions between the atmosphere, oceans and lands, and their effects on climate changes. AMSR-E scans the Earth's surface by mechanically rotating the antenna and acquires radiance data of the Earth's surface. Each frequency band is monitored by vertical and horizontal polarized wave. It conically scans and keeps an angle of incidence on the earth surface (a nominal of 55 degrees) and accomplishes a swath width of about 1450 km. The AMSR-E reached its limit to maintain the antenna rotation speed necessary for regular observations, and the AMSR-E restarted its observation in slow rotation mode (2 rotations per minute) on December 4, 2012. However, the AMSR-E reached its limit to maintain the antenna rotation speed necessary for slow rotation mode and it automatically halted its observation and rotation on December 4, 2015. Level 3 data inputs level 1B and level 2 data and projected to the map in accordance with the specified projection technique (Equi-Rectangular (EQR) or Polar Stereographic (PS)), and then averaged temporally and spatially. These statistical values are computed for observation data on ascending orbit and descending orbit respectively. This product includes daily mean Amount of Precipitation (AP). Combinations of both emission and scattering signatures. Separate algorithms are applied for over ocean and over land regions. The physical quantity unit is mm/hr. The provided format is HDF4. The statistical period is 1 month. The spatial resolution is 0.25 deg. The current version of the product is "Version 4". The projection method is EQR. The generation unit is global.