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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
LGHAP v2 provides a 22-year-long, gap-free dataset of aerosol optical depth (AOD) and near-surface PM2.5 concentrations with daily 1-km resolution covering global land areas from 2000 to 2021. It was produced by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating multimodal AODs and air quality measurements from satellites, ground monitors, and models. The data is archived in NetCDF format with Python, MATLAB, R, and IDL codes provided for reading and visualization.
22-year-long gap-free aerosol optical depth (AOD) and near-surface PM2.5 concentration data with daily 1-km resolution covering global land areas from 2000 to 2021. Kaixu Bai from East China Normal University produced this dataset by integrating multimodal AODs and air quality measurements from satellites, ground monitors, and numerical models. Python, MATLAB, R, and IDL codes are provided to help users read and visualize the data.
22-year-long gap-free aerosol optical depth and near-surface PM2.5 concentrations with daily 1-km resolution covering global land area from 2000 to 2021. The dataset was created by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating multimodal AODs from satellites, ground monitors, and numerical models. Data for each year is archived individually in NetCDF format, with Python, MATLAB, R, and IDL codes provided for reading and visualization.
22-year-long daily gap-free grids of aerosol optical depth and near-surface PM2.5 concentrations at 1-km resolution covering global land areas. Kaixu Bai from East China Normal University produced this dataset using an improved big earth data analytic framework integrating satellite, ground monitor, and model data. Python, MATLAB, R, and IDL codes are provided to help users read and visualize the NetCDF files.
22-year-long gap-free aerosol optical depth (AOD) and near-surface PM2.5 concentration grids with daily 1-km resolution covering global land areas from 2000 to 2021. The dataset, LGHAP v2, was created by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating multimodal AODs and air quality measurements from satellites, ground monitors, and models. Data is archived in NetCDF format with yearly submissions, and Python, MATLAB, R, and IDL codes are provided for reading and visualization.
22-year-long gap-free aerosol optical depth (AOD) and near-surface PM2.5 concentration data with daily 1-km resolution covering global land areas from 2000 to 2021. The dataset was created by Kaixu Bai of East China Normal University using an improved big earth data analytic framework that integrates multimodal AODs and air quality measurements from satellites, ground monitors, and numerical models. Data for each year is archived individually in NetCDF format, with Python, MATLAB, R, and IDL codes provided for reading and visualization.
22-year-long gap-free aerosol optical depth and near-surface PM2.5 concentration data at daily 1-km resolution covering global land areas. Kaixu Bai from East China Normal University produced this dataset by integrating multimodal AODs and air quality measurements from satellites, ground monitors, and numerical models. An improved big earth data analytic framework with attention-reinforced tensor construction and a scene-aware ensemble learning graph attention network were developed to generate these gap-free grids.
Global land area daily gap-free PM2.5 and aerosol optical depth (AOD) concentration grids from 2000 to 2021. The dataset provides 22 years of data at a 1-kilometer resolution, generated by Kaixu Bai of East China Normal University using an attention-reinforced tensor construction framework and a scene-aware ensemble learning graph attention network (SCAGAT). Data is archived in NetCDF format with Python, MATLAB, R, and IDL codes provided for reading and visualization.
22-year-long daily gap-free aerosol optical depth (AOD) and near-surface PM2.5 concentration grids at 1-km resolution covering global land area from 2000 to 2021. The dataset was produced by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating satellite, ground monitor, and numerical model data. Data is archived in NetCDF format with Python, MATLAB, R, and IDL codes provided for reading and visualization.
LGHAP v2 provides 22 years of daily, 1-kilometer resolution gap-free aerosol optical depth and near-surface PM2.5 concentration data covering global land areas from 2000 to 2021. The dataset was created by Kaixu Bai of East China Normal University using an improved big earth data analytic framework that integrates multimodal AODs from satellites, ground monitors, and numerical models. A scene-aware ensemble learning graph attention network was developed to predict PM2.5 concentrations, particularly for regions with limited ground measurements.
Global land area daily 1-km resolution gap-free aerosol optical depth (AOD) and near-surface PM2.5 concentration grids from 2000 to 2021. The dataset was created by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating satellite, ground monitor, and numerical model data. A scene-aware ensemble learning graph attention network (SCAGAT) was developed to predict PM2.5 concentrations, especially in regions with limited ground measurements.
22 years of gap-free daily aerosol optical depth and near-surface PM2.5 concentration data at 1-km resolution covering global land areas from 2000 to 2021. The dataset was produced by Kaixu Bai of East China Normal University using an improved big earth data analytic framework integrating satellite, ground monitor, and model data. Data is provided in NetCDF format with Python, MATLAB, R, and IDL codes for reading and visualization.
Lisa Noll from the University of Vienna published research on soil organic nitrogen cycling. The dataset likely contains measurements of gross protein depolymerization rates from mineral and organic soils across a 4000-km-long European transect. It was collected to analyze the integrated effects of climate, soil geochemistry, and land use on soil fertility.
84 CTD profiles collected aboard the HDMS Lauge Koch in August 2018 across three East Greenland fjord systems. The dataset includes profiles of conductivity, temperature, depth, chlorophyll-a fluorescence, photosynthetically available radiation, dissolved oxygen, turbidity, and pH, processed to 0.1-meter bins. The cruise was funded by the Danish Center for Marine Research and the EU Horizon2020 project INTAROS.
Fish trait data for up to 11,425 species and geospatial projections of functional diversity metrics under climate change scenarios. The dataset supports a paper from Leiden University, providing supplementary information on traits like relative head length and trophic level. Geospatial layers include functional richness and divergence under historical and future warming levels up to 4.5°C.
The Early to Middle Cambrian Stansbury Basin preserves a palaeogeographic zonation from about 540 Ma to at least 510 Ma. The dataset, published by the Australian Ocean Data Network, describes the basin's structure, sedimentation phases, and associated granitoid emplacement events. It highlights potential for various mineral deposit types, including Mississippi Valley-type (MVT) and volcanogenic massive sulphide mineralisation.
AKEP2018 is a seismic velocity model that updates the Alaska 3-D model of Eberhart-Phillips et al. (2006) using earthquake travel-time and ambient noise group velocity data. The model, developed for a USGS project, provides Vp and Vp/Vs values at inversion nodes in a 3D grid, with associated resolution metrics. It is based upon work supported by the U.S. Geological Survey under Grant No. G18AP00017.
A reconnaissance marine reflection seismic survey was conducted in 1961 by Seismograph Service Limited for West Australian Petroleum Pty Limited. The survey covered 753 miles of traverse in the Carnarvon Basin, including Exmouth Gulf and coastal waters from Frazer Island to Bernier Island. The project was subsidized under the Petroleum Search Subsidy Act 1959.
CESM2 CONTROL simulation output contains historical model data from January 1970 to December 2014. The data includes global fields for temperature, salinity, dissolved inorganic carbon, meridional overturning circulation, and sea ice fraction at a monthly resolution. Tessa Gorte from the University of Colorado Boulder generated this data to study ocean responses without increased ice sheet freshwater discharge.
Historical output from one of four CESM2 simulations exploring Antarctic Ice Sheet freshwater discharge impacts from 1992 to 2014. The data contains global monthly fields for temperature, salinity, dissolved inorganic carbon, meridional overturning circulation, and sea ice fraction at ∼0.9×1.25° horizontal resolution. Tessa Gorte from the University of Colorado Boulder generated this model output.