Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
126
datasets available to search
ShareScore release 0.9.0
Dataset results
126 results for “NO2”
Ground-based vertical observations of NO2 and HCHO in Beijing and Wangdu
<p>NO2 和 HCHO 垂直剖面支持题为“不同高度的臭氧形成敏感性敏感性:寻求灵敏度阈值测定的最佳方法”的论文。</p>
Arctic lightning NO2 product (2021)
<p>The dataset includes results from a combination of TROPOMI NO<sub>2</sub> measurements and GLD360 observations in the Arctic (<strong>June-August 2021</strong>). By analyzing consecutive TROPOMI NO<sub>2</sub> observations, we determine the lifetime and production efficiency of lightning NO<sub>2</sub>. A detailed description of the methodology can be found in <a href="https://doi.org/10.1021/acs.est.2c07988">Zhang et al. (2023)</a>.</p> <p><strong>Reference</strong></p> <p>Zhang et al., <strong>Spaceborne observations of lightning NO<sub>2</sub> in the Arctic</strong>, <em>Environ. Sci. Technol.</em></p> <p><strong>Date files</strong></p> <p>These NetCDF files are generated by <a href="https://github.com/zxdawn/S5P-LNO2">S5P-LNO2</a> which depends on TROPOMI NO<sub>2</sub> data and GLD360 lightning data.</p> <p>Here is the variable table of the S5P-LNO2 NetCDF product:</p> <table> <thead> <tr> <th>Varname</th> <th>Group</th> <th>Units</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>time</td> <td>S5P</td> <td>days since <yyyy-mm-dd></td> <td>time using proleptic gregorian calendar</td> </tr> <tr> <td>latitude</td> <td>S5P</td> <td>degrees_north</td> <td>pixel center latitude</td> </tr> <tr> <td>longitude</td> <td>S5P</td> <td>degrees_east</td> <td>pixel center longitude</td> </tr> <tr> <td>air_mass_factor_clear</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-free part of the scene</td> </tr> <tr> <td>air_mass_factor_cloudy</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-covered part of the scene</td> </tr> <tr> <td>air_mass_factor_stratosphere</td> <td>S5P</td> <td>1</td> <td>Stratospheric air mass factor</td> </tr> <tr> <td>air_mass_factor_total</td> <td>S5P</td> <td>1</td> <td>Total air mass factor</td> </tr> <tr> <td>air_mass_factor_troposphere</td> <td>S5P</td> <td>1</td> <td>Tropospheric air mass factor</td> </tr> <tr> <td>Apparent_scene_pressure</td> <td>S5P</td> <td>Pa</td> <td>Scene pressure from the cloud product</td> </tr> <tr> <td>assembled_lat_bounds</td> <td>S5P</td> <td>degrees_north</td> <td>assembled_latitude_bounds calculated by Satpy</td> </tr> <tr> <td>assembled_lon_bounds</td> <td>S5P</td> <td>degrees_east</td> <td>assembled_longitude_bounds calculated by Satpy</td> </tr> <tr> <td>Averaging_kernel</td> <td>S5P</td> <td>1</td> <td>Averaging kernel</td> </tr> <tr> <td>cloud_albedo_crb</td> <td>S5P</td> <td>1</td> <td>Cloud albedo in the cloud product</td> </tr> <tr> <td>cloud_fraction_crb_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>cloud_pressure_crb</td> <td>S5P</td> <td>Pa</td> <td>Cloud optical centroid pressure</td> </tr> <tr> <td>cloud_radiance_fraction_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud radiance fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>Geolocation_flags</td> <td>S5P</td> <td>1</td> <td>Some flags (see ATBD)</td> </tr> <tr> <td><strong>lightning_mask</strong></td> <td>S5P</td> <td>1</td> <td><0: labeled lightning with fire; 0: no lightning; >0: labeled lightning without fire</td> </tr> <tr> <td>nitrogendioxide_ghost_column</td> <td>S5P</td> <td>mol m-2</td> <td>Ghost column NO2: modelled NO2 column below the cloud top</td> </tr> <tr> <td><strong>nitrogendioxide_segmentation</strong></td> <td>S5P</td> <td>1</td> <td>0: no high NO2; >=1: labeled high NO2</td> </tr> <tr> <td>nitrogendioxide_slant_column_density</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profiles</td> </tr> <tr> <td>nitrogendioxide_stratospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profile</td> </tr> <tr> <td>nitrogendioxide_total_column</td> <td>S5P</td> <td>mol m-2</td> <td>Total vertical column of nitrogen dioxide derived from the total slant column and TM5 profile in stratosphere and troposphere</td> </tr> <tr> <td>nitrogendioxide_tropospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Tropospheric vertical column of nitrogen dioxide</td> </tr> <tr> <td>processing_quality_flags</td> <td>S5P</td> <td>1</td> <td>Processing quality flags (See ATBD)</td> </tr> <tr> <td>qa_value</td> <td>S5P</td> <td>1</td> <td>Quality value</td> </tr> <tr> <td>scene_albedo</td> <td>S5P</td> <td>1</td> <td>Scene albedo in the cloud product</td> </tr> <tr> <td>snow_ice_flag</td> <td>S5P</td> <td>1</td> <td>Snow-ice mask (See ATBD)</td> </tr> <tr> <td>solar_azimuth_angle</td> <td>S5P</td> <td>degree clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Solar azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>solar_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Solar zenith angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>surface_albedo_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Surface albedo in the NO2 fit window</td> </tr> <tr> <td>surface_pressure</td> <td>S5P</td> <td>Pa</td> <td>Surface pressure</td> </tr> <tr> <td>time_utc</td> <td>S5P</td> <td>1</td> <td>Time of observation as ISO 8601 date-time string</td> </tr> <tr> <td>tm5_constant_a</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid A coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_constant_b</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid B coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_tropopause_layer_index</td> <td>S5P</td> <td>1</td> <td>TM5 layer index of the highest layer in the tropopause</td> </tr> <tr> <td>viewing_azimuth_angle</td> <td>S5P</td> <td>degree measured clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Satellite azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>viewing_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Zenith angle of the satellite at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>cluster_label</td> <td>Lightning</td> <td>1</td> <td>Clustered lightning labeled by DBSCAN</td> </tr> <tr> <td>time</td> <td>Lightning</td> <td>minutes since</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning</td> </tr> <tr> <td>latitude</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning</td> </tr> <tr> <td>delta</td> <td>Lightning</td> <td>minute</td> <td>The time difference between detected lightning and TROPOMI overpass time</td> </tr> <tr> <td>level</td> <td>Lightning</td> <td>hPa</td> <td>Pressure levels used for lightning NO2 air parcel</td> </tr> <tr> <td>longitude_pred</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>latitude_pred</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>lightning_label</td> <td>Lightning</td> <td>1</td> <td>Lightning label paired with lightning mask</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>time</td> <td>Fire</td> <td>1</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>latitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>type</td> <td>Fire</td> <td>1</td> <td>Fire type</td> </tr> </tbody> </table>
Arctic lightning NO2 product (2019)
<p>The dataset includes results from a combination of TROPOMI NO<sub>2</sub> measurements and GLD360 observations in the Arctic (<strong>June-August 2019</strong>). By analyzing consecutive TROPOMI NO<sub>2</sub> observations, we determine the lifetime and production efficiency of lightning NO<sub>2</sub>. A detailed description of the methodology can be found in <a href="https://doi.org/10.1021/acs.est.2c07988">Zhang et al. (2023)</a>.</p> <p><strong>Reference</strong></p> <p>Zhang et al., <strong>Spaceborne observations of lightning NO<sub>2</sub> in the Arctic</strong>, <em>Environ. Sci. Technol.</em></p> <p><strong>Date files</strong></p> <p>These NetCDF files are generated by <a href="https://github.com/zxdawn/S5P-LNO2">S5P-LNO2</a> which depends on TROPOMI NO<sub>2</sub> data and GLD360 lightning data.</p> <p>Here is the variable table of the S5P-LNO2 NetCDF product:</p> <table> <thead> <tr> <th>Varname</th> <th>Group</th> <th>Units</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>time</td> <td>S5P</td> <td>days since <yyyy-mm-dd></td> <td>time using proleptic gregorian calendar</td> </tr> <tr> <td>latitude</td> <td>S5P</td> <td>degrees_north</td> <td>pixel center latitude</td> </tr> <tr> <td>longitude</td> <td>S5P</td> <td>degrees_east</td> <td>pixel center longitude</td> </tr> <tr> <td>air_mass_factor_clear</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-free part of the scene</td> </tr> <tr> <td>air_mass_factor_cloudy</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-covered part of the scene</td> </tr> <tr> <td>air_mass_factor_stratosphere</td> <td>S5P</td> <td>1</td> <td>Stratospheric air mass factor</td> </tr> <tr> <td>air_mass_factor_total</td> <td>S5P</td> <td>1</td> <td>Total air mass factor</td> </tr> <tr> <td>air_mass_factor_troposphere</td> <td>S5P</td> <td>1</td> <td>Tropospheric air mass factor</td> </tr> <tr> <td>Apparent_scene_pressure</td> <td>S5P</td> <td>Pa</td> <td>Scene pressure from the cloud product</td> </tr> <tr> <td>assembled_lat_bounds</td> <td>S5P</td> <td>degrees_north</td> <td>assembled_latitude_bounds calculated by Satpy</td> </tr> <tr> <td>assembled_lon_bounds</td> <td>S5P</td> <td>degrees_east</td> <td>assembled_longitude_bounds calculated by Satpy</td> </tr> <tr> <td>Averaging_kernel</td> <td>S5P</td> <td>1</td> <td>Averaging kernel</td> </tr> <tr> <td>cloud_albedo_crb</td> <td>S5P</td> <td>1</td> <td>Cloud albedo in the cloud product</td> </tr> <tr> <td>cloud_fraction_crb_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>cloud_pressure_crb</td> <td>S5P</td> <td>Pa</td> <td>Cloud optical centroid pressure</td> </tr> <tr> <td>cloud_radiance_fraction_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud radiance fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>Geolocation_flags</td> <td>S5P</td> <td>1</td> <td>Some flags (see ATBD)</td> </tr> <tr> <td><strong>lightning_mask</strong></td> <td>S5P</td> <td>1</td> <td><0: labeled lightning with fire; 0: no lightning; >0: labeled lightning without fire</td> </tr> <tr> <td>nitrogendioxide_ghost_column</td> <td>S5P</td> <td>mol m-2</td> <td>Ghost column NO2: modelled NO2 column below the cloud top</td> </tr> <tr> <td><strong>nitrogendioxide_segmentation</strong></td> <td>S5P</td> <td>1</td> <td>0: no high NO2; >=1: labeled high NO2</td> </tr> <tr> <td>nitrogendioxide_slant_column_density</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profiles</td> </tr> <tr> <td>nitrogendioxide_stratospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profile</td> </tr> <tr> <td>nitrogendioxide_total_column</td> <td>S5P</td> <td>mol m-2</td> <td>Total vertical column of nitrogen dioxide derived from the total slant column and TM5 profile in stratosphere and troposphere</td> </tr> <tr> <td>nitrogendioxide_tropospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Tropospheric vertical column of nitrogen dioxide</td> </tr> <tr> <td>processing_quality_flags</td> <td>S5P</td> <td>1</td> <td>Processing quality flags (See ATBD)</td> </tr> <tr> <td>qa_value</td> <td>S5P</td> <td>1</td> <td>Quality value</td> </tr> <tr> <td>scene_albedo</td> <td>S5P</td> <td>1</td> <td>Scene albedo in the cloud product</td> </tr> <tr> <td>snow_ice_flag</td> <td>S5P</td> <td>1</td> <td>Snow-ice mask (See ATBD)</td> </tr> <tr> <td>solar_azimuth_angle</td> <td>S5P</td> <td>degree clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Solar azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>solar_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Solar zenith angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>surface_albedo_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Surface albedo in the NO2 fit window</td> </tr> <tr> <td>surface_pressure</td> <td>S5P</td> <td>Pa</td> <td>Surface pressure</td> </tr> <tr> <td>time_utc</td> <td>S5P</td> <td>1</td> <td>Time of observation as ISO 8601 date-time string</td> </tr> <tr> <td>tm5_constant_a</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid A coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_constant_b</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid B coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_tropopause_layer_index</td> <td>S5P</td> <td>1</td> <td>TM5 layer index of the highest layer in the tropopause</td> </tr> <tr> <td>viewing_azimuth_angle</td> <td>S5P</td> <td>degree measured clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Satellite azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>viewing_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Zenith angle of the satellite at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>cluster_label</td> <td>Lightning</td> <td>1</td> <td>Clustered lightning labeled by DBSCAN</td> </tr> <tr> <td>time</td> <td>Lightning</td> <td>minutes since</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning</td> </tr> <tr> <td>latitude</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning</td> </tr> <tr> <td>delta</td> <td>Lightning</td> <td>minute</td> <td>The time difference between detected lightning and TROPOMI overpass time</td> </tr> <tr> <td>level</td> <td>Lightning</td> <td>hPa</td> <td>Pressure levels used for lightning NO2 air parcel</td> </tr> <tr> <td>longitude_pred</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>latitude_pred</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>lightning_label</td> <td>Lightning</td> <td>1</td> <td>Lightning label paired with lightning mask</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>time</td> <td>Fire</td> <td>1</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>latitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>type</td> <td>Fire</td> <td>1</td> <td>Fire type</td> </tr> </tbody> </table>
Arctic lightning NO2 product (2020)
<p>The dataset includes results from a combination of TROPOMI NO<sub>2</sub> measurements and GLD360 observations in the Arctic (<strong>June-August 2020</strong>). By analyzing consecutive TROPOMI NO<sub>2</sub> observations, we determine the lifetime and production efficiency of lightning NO<sub>2</sub>. A detailed description of the methodology can be found in <a href="https://doi.org/10.1021/acs.est.2c07988">Zhang et al. (2023)</a>.</p> <p><strong>Reference</strong></p> <p>Zhang et al., <strong>Spaceborne observations of lightning NO<sub>2</sub> in the Arctic</strong>, <em>Environ. Sci. Technol.</em></p> <p><strong>Date files</strong></p> <p>These NetCDF files are generated by <a href="https://github.com/zxdawn/S5P-LNO2">S5P-LNO2</a> which depends on TROPOMI NO<sub>2</sub> data and GLD360 lightning data.</p> <p>Here is the variable table of the S5P-LNO2 NetCDF product:</p> <table> <thead> <tr> <th>Varname</th> <th>Group</th> <th>Units</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>time</td> <td>S5P</td> <td>days since <yyyy-mm-dd></td> <td>time using proleptic gregorian calendar</td> </tr> <tr> <td>latitude</td> <td>S5P</td> <td>degrees_north</td> <td>pixel center latitude</td> </tr> <tr> <td>longitude</td> <td>S5P</td> <td>degrees_east</td> <td>pixel center longitude</td> </tr> <tr> <td>air_mass_factor_clear</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-free part of the scene</td> </tr> <tr> <td>air_mass_factor_cloudy</td> <td>S5P</td> <td>1</td> <td>Air mass factor for the cloud-covered part of the scene</td> </tr> <tr> <td>air_mass_factor_stratosphere</td> <td>S5P</td> <td>1</td> <td>Stratospheric air mass factor</td> </tr> <tr> <td>air_mass_factor_total</td> <td>S5P</td> <td>1</td> <td>Total air mass factor</td> </tr> <tr> <td>air_mass_factor_troposphere</td> <td>S5P</td> <td>1</td> <td>Tropospheric air mass factor</td> </tr> <tr> <td>Apparent_scene_pressure</td> <td>S5P</td> <td>Pa</td> <td>Scene pressure from the cloud product</td> </tr> <tr> <td>assembled_lat_bounds</td> <td>S5P</td> <td>degrees_north</td> <td>assembled_latitude_bounds calculated by Satpy</td> </tr> <tr> <td>assembled_lon_bounds</td> <td>S5P</td> <td>degrees_east</td> <td>assembled_longitude_bounds calculated by Satpy</td> </tr> <tr> <td>Averaging_kernel</td> <td>S5P</td> <td>1</td> <td>Averaging kernel</td> </tr> <tr> <td>cloud_albedo_crb</td> <td>S5P</td> <td>1</td> <td>Cloud albedo in the cloud product</td> </tr> <tr> <td>cloud_fraction_crb_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>cloud_pressure_crb</td> <td>S5P</td> <td>Pa</td> <td>Cloud optical centroid pressure</td> </tr> <tr> <td>cloud_radiance_fraction_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Cloud radiance fraction at 440 nm for NO2 retrieval</td> </tr> <tr> <td>Geolocation_flags</td> <td>S5P</td> <td>1</td> <td>Some flags (see ATBD)</td> </tr> <tr> <td><strong>lightning_mask</strong></td> <td>S5P</td> <td>1</td> <td><0: labeled lightning with fire; 0: no lightning; >0: labeled lightning without fire</td> </tr> <tr> <td>nitrogendioxide_ghost_column</td> <td>S5P</td> <td>mol m-2</td> <td>Ghost column NO2: modelled NO2 column below the cloud top</td> </tr> <tr> <td><strong>nitrogendioxide_segmentation</strong></td> <td>S5P</td> <td>1</td> <td>0: no high NO2; >=1: labeled high NO2</td> </tr> <tr> <td>nitrogendioxide_slant_column_density</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profiles</td> </tr> <tr> <td>nitrogendioxide_stratospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Stratospheric vertical column of nitrogen dioxide, derived from the TM5-MP vertical profile</td> </tr> <tr> <td>nitrogendioxide_total_column</td> <td>S5P</td> <td>mol m-2</td> <td>Total vertical column of nitrogen dioxide derived from the total slant column and TM5 profile in stratosphere and troposphere</td> </tr> <tr> <td>nitrogendioxide_tropospheric_column</td> <td>S5P</td> <td>mol m-2</td> <td>Tropospheric vertical column of nitrogen dioxide</td> </tr> <tr> <td>processing_quality_flags</td> <td>S5P</td> <td>1</td> <td>Processing quality flags (See ATBD)</td> </tr> <tr> <td>qa_value</td> <td>S5P</td> <td>1</td> <td>Quality value</td> </tr> <tr> <td>scene_albedo</td> <td>S5P</td> <td>1</td> <td>Scene albedo in the cloud product</td> </tr> <tr> <td>snow_ice_flag</td> <td>S5P</td> <td>1</td> <td>Snow-ice mask (See ATBD)</td> </tr> <tr> <td>solar_azimuth_angle</td> <td>S5P</td> <td>degree clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Solar azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>solar_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Solar zenith angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>surface_albedo_nitrogendioxide_window</td> <td>S5P</td> <td>1</td> <td>Surface albedo in the NO2 fit window</td> </tr> <tr> <td>surface_pressure</td> <td>S5P</td> <td>Pa</td> <td>Surface pressure</td> </tr> <tr> <td>time_utc</td> <td>S5P</td> <td>1</td> <td>Time of observation as ISO 8601 date-time string</td> </tr> <tr> <td>tm5_constant_a</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid A coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_constant_b</td> <td>S5P</td> <td>Pa</td> <td>TM5 hybrid B coefficient at upper and lower interface levels</td> </tr> <tr> <td>tm5_tropopause_layer_index</td> <td>S5P</td> <td>1</td> <td>TM5 layer index of the highest layer in the tropopause</td> </tr> <tr> <td>viewing_azimuth_angle</td> <td>S5P</td> <td>degree measured clockwise from the North (East = 90, South = 180, West = 270)</td> <td>Satellite azimuth angle at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td>viewing_zenith_angle</td> <td>S5P</td> <td>degree measured away from the vertical</td> <td>Zenith angle of the satellite at the ground pixel location on the reference ellipsoid.</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>cluster_label</td> <td>Lightning</td> <td>1</td> <td>Clustered lightning labeled by DBSCAN</td> </tr> <tr> <td>time</td> <td>Lightning</td> <td>minutes since</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning</td> </tr> <tr> <td>latitude</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning</td> </tr> <tr> <td>delta</td> <td>Lightning</td> <td>minute</td> <td>The time difference between detected lightning and TROPOMI overpass time</td> </tr> <tr> <td>level</td> <td>Lightning</td> <td>hPa</td> <td>Pressure levels used for lightning NO2 air parcel</td> </tr> <tr> <td>longitude_pred</td> <td>Lightning</td> <td>degrees_east</td> <td>Longitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>latitude_pred</td> <td>Lightning</td> <td>degrees_north</td> <td>Latitude of lightning at different pressure levels predicted by ERA5 data</td> </tr> <tr> <td>lightning_label</td> <td>Lightning</td> <td>1</td> <td>Lightning label paired with lightning mask</td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>time</td> <td>Fire</td> <td>1</td> <td> </td> </tr> <tr> <td>longitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>latitude</td> <td>Fire</td> <td>degrees_north</td> <td>Longitude of fire</td> </tr> <tr> <td>type</td> <td>Fire</td> <td>1</td> <td>Fire type</td> </tr> </tbody> </table>
GG_NO2_V1_OMI: long-term global gapless daily NO2 vertical column density from OMI during 2005-2022
<p>To be updated.</p>
Sentinel-5P TROPOMI Tropospheric NO2 1-Orbit L2 5.5km x 3.5km V1 (S5P_L2__NO2____HiR) at GES DISC
Starting from August 6th in 2019, Sentinel-5P TROPOMI along-track high spatial resolution (~5.5km at nadir) has been implemented.For data before August 6th of 2019, please check S5P_L2__NO2____1 data collection.The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). Sentinel-5P is the first of the Atmospheric Composition Sentinels and is expected to provide measurements of ozone, NO2, SO2, CH4, CO, formaldehyde, aerosols and cloud at high spatial, temporal and spectral resolutions.The TROPOMI retrieval of total and tropospheric NO2, is based on the DOMINO approach, a DOAS retrieval, a pre-calculated air-mass factor (AMF) look-up table, and a data assimilation/chemistry transport model for the separation of the stratospheric and tropospheric contributions to the NO2 column. It also include many retrieval developments of the European Quality Assurance for Essential Climate Variables (QA4ECV) project.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.