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90 results for “Sentinel-5P”

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zenodo48/100

Sentinel-5P Methane Density at 2 km from 2021-12 to 2023-11 Monthly Aggregation Time-series Reconstructed

<p><strong>General Description</strong></p><p>The <i>monthly aggregated Methane Volume Mixing Ratio </i>dataset is derived from Sentinel-5P to generate a time-series reconstructed monthly aggregated map. The dataset time spans from December 2021 to November 2023 and provides data that covers the entire globe. The mission is still underway and expected to update periodically.</p><p>For more info about the s5p&nbsp;Methane product see:&nbsp;<a href="">https://maps.s5p-pal.com/ch4/</a>.</p><p>The dataset can be used in many applications like emission tracing, livestock monitor, and greenhouse gas monitor.</p><ul><li><strong>Monthly time-series:</strong></li></ul><p>Methane monthly average value December 2021 – November 2023. Derived using the&nbsp;<a href="https://eumap.readthedocs.io/en/latest/">eumap</a>&nbsp;and <a href="https://github.com/openlandmap/scikit-map">scikitmap</a> package&nbsp;in Python . We derived three&nbsp;standard statistics: (1) 10th percentile&nbsp;(p10), median (p50), and&nbsp;90th percentile (p90).</p><p><strong>Data Details</strong></p><ul><li><strong>Time period:</strong> December 2021 – November 2023</li><li><strong>Type of data:</strong> Methane Volume Mixing Ratio (Unit: ppbv)</li><li><strong>How the data was collected or derived:</strong> Derived from 2km Sentinel-5P Menthane using Python running in a local HPC. The time-series analysis were computed using the <a href="https://github.com/scikit-map/scikit-map">Scikit-map</a>&nbsp;and <a href="https://eumap.readthedocs.io/en/latest/">eumap </a>Python package.</li><li><strong>Statistical methods used:</strong> percentiles 10, 50, and 90.</li><li><strong>Limitations or exclusions in the data:</strong> The dataset is not completed gap-filled. Certain areas have no data in the whole time series</li><li><strong>Coordinate reference system:</strong> EPSG:4326</li><li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (-180.00000, -61.9966697, 180.0000072, 87.37000)</li><li><strong>Spatial resolution:</strong> 1/60 d.d. = 0.016666667 (2km)</li><li><strong>Image size:</strong> 21,600 x 8,962</li><li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li></ul><p><strong>Support</strong></p><p>If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels:</p><ul><li>Technical issues and questions about the code:&nbsp;<a href="https://gitlab.com/openlandmap/global-layers/-/issues">https://gitlab.com/openlandmap/global-layers/-/issues</a></li><li>General questions and comments:&nbsp;<a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li></ul><p><strong>Name convention</strong></p><p>To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p><ol><li><strong>generic variable name:</strong> ch4.vmr = methane density methane volume mixing ratio</li><li><strong>variable procedure combination:</strong> m.seacov = monthly aggregated and gap filled by seasonal convolution</li><li><strong>Position in the probability distribution / variable type:</strong> p10/p50/p90 = 10th/50th/90th percentile</li><li><strong>Spatial support:</strong> 2km</li><li><strong>Depth reference:</strong> a = above surface</li><li><strong>Time reference begin time:</strong> 20211201 = 2021-12-01</li><li><strong>Time reference end time:</strong> 20231131 = 2023-11-31</li><li><strong>Bounding box:</strong> go = global (without Antarctica)</li><li><strong>EPSG code:</strong> epsg.4326 = EPSG:4326</li><li><strong>Version code:</strong> v20230628 = 2023-12-08 (creation date)</li></ol>

opencc-by-4.0Dec 2023View details →
zenodo44/100

Sentinel-5P Tropospheric Nitrogen Dioxide Density at 2 km from 2018-05 to 2022-11 Monthly Aggregation

<p>Layers include: Tropospheric Nitrogen Dioxide Density monthly median value May 2018 &ndash; November 2022. Derived using the&nbsp;<a href="https://eumap.readthedocs.io/en/latest/index.html#">eumap&nbsp;package&nbsp;in Python</a>. We derived three&nbsp;standard statistics: (1) 10th percentile&nbsp;(p10), median (m), and&nbsp;90th percentile (p10).</p> <p>Band info</p> <table> <tbody> <tr> <td>Name</td> <td>Units</td> <td>Scale</td> <td> <p>Description</p> </td> </tr> <tr> <td>NO<sub>2</sub></td> <td>(&micro;mol m<sup>-</sup><sup>2</sup>)</td> <td>0.1</td> <td>tropospheric nitrogen dioxide density</td> </tr> </tbody> </table> <p>Warning:</p> <p>Original data have&nbsp;the different range of latitude among months. In December, there are no data above N 58&deg;, where is approximately between Iceland and Scotland. Therefore, when it comes to monthly aggregation, there is a strip across N 58&deg; as an artifact. It is not suggested to use this dataset in the region above N 58&deg;.</p> <p>For more info about the s5p&nbsp;NO<sub>2</sub>&nbsp;product see:&nbsp;<a href="https://maps.s5p-pal.com"><strong>https://maps.s5p-pal.com/</strong></a>. Antarctica is not included.</p> <p>To access and visualize maps use:&nbsp;&nbsp;<a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code:&nbsp;<a href="https://gitlab.com/openlandmap/global-layers/-/issues">https://gitlab.com/openlandmap/global-layers/-/issues</a>&nbsp;</li> <li>General questions and comments:&nbsp;<a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation&nbsp;option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention:</p> <ul> <li>no2 = variable: nitrogen dioxide (&micro;mol m<sup>-</sup><sup>2</sup>),</li> <li>s5p.l3.trop.tmwm= determination method: Copernicus Sentinel-5P&nbsp;product, level 3, tropospheric, temporal moving window median</li> <li>p10/p50/p90 = aggregation/statistics&nbsp;method: 10th/50th/90th percentile,</li> <li>2km = spatial resolution / block support: 2&nbsp;km,</li> <li>a = vertical reference: above ground,</li> <li>start date_end date (i.e. 20180501_20180531) = time reference: from start date&nbsp;to end date</li> <li>go = bounding box:&nbsp;global land without Antarctica</li> <li>epsg.4326 = ESPG code:&nbsp;epsg.4326</li> <li>v20221219&nbsp;= version code: creation date&nbsp;20221219</li> </ul>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Nitrogen Dioxide Sentinel-5P 16-day composite map (2018-07-10 to 2018-07-25)

<p>Nitrogen Dioxide map of Ukraine and Eastern Europe developed based on Sentinel-5P L2 images. Mean NO2 values calculated using images over the period from 2018-07-10 to 2018-07-25. Air pollution hot spots identification.</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Improve air quality in Cities - Simulation of Sentinel-5p and Breeze Technologies

<p>The number of measuring stations in cities areinsufficient to get a realistic picture about the Air quality (AQ). The existing technique is too expensive and wastes too much limited urban space due to their dimensions. Therefore, the Breeze Technology helps to overcome this data gap by offering their own compact low-cost AQ sensors as a supplement to the existing station. To improve the spatial coverage of the measurement, Sentinel-5P data was simulated with the sensor based measured data. The accuracy will be further increased by integrating satellite data to predict pollutu&iacute;on level e.g. in areas without sensors to overcome measurement gaps.</p>

opencc-by-4.0Feb 2019View details →
zenodo36/100

Sentinel-5p/TROPOMI SO2 Layer Height dataset covering the Raikoke volcanic eruption 2019

<p>Sentinel-5p/TROPOMI SO2 Layer Height product generated by DLR as part of the INPULS project using the retrieval algorithm developed in the framework of the ESA Sentinel-5p Innovations: SO2 LH (S5P+I: SO2LH) project</p> <p>The dataset contains SO2LH results for the timeframe 2019-06-22 until 2019-07-30 covering the eruptive period of the Raikoke volcanic eruption. This dataset was used as input for the paper of Inness et al. &quot;The CAMS volcanic forecasting system utilizing near-real time data assimilation of S5P/TROPOMI SO2 retrievals&quot; (2021, submitted to GMD)</p> <p>The dataset contains modified Copernicus Sentinel data processed by DLR</p>

opencc-by-4.0Oct 2021View details →
zenodo36/100

Smogseer: A Convolutional LSTM for forecasting air quality from Sentinel-5P data

<h1><strong>Training and checkpoint datasets&nbsp;</strong></h1> <h2><a href="#h_1501865622611722161313186" target="_blank" rel="noopener">S5PL2_5D.nc</a></h2> <p>This is the Sentinel-5P traning dataset for the Smogseer ConvLSTM model. The dataset was created using the xcube Sentinel Hub data store from the <a href="https://deepesdl.readthedocs.io/en/latest/datasets/datastores/#xcube-sentinel-hub-data-store">Deep Earth System Data Lab</a>.</p> <p>The dataset &nbsp;has the following characteristics:</p> <ul> <li>bbox= [68.137207,24.886436,84.836426,34.379713] #WGS84 // lon,lat,lon,lat</li> <li>res = (bbox[2]-bbox[0])/512 # ~3629m</li> <li>date_range = ['2019-01-01', '2023-12-31']</li> <li> <div>timesteps = '5D'</div> </li> </ul> <h2><a href="#h_4062378263291722161323566">X_val.npy</a></h2> <p>Validation feature data with shape: (74, 1, 291, 512, 6)</p> <ul> <li>74: dates</li> <li>1: time steps</li> <li>291: latitudes</li> <li>512: longitudes</li> <li>6: Features ['SO2', 'NO2', 'CH4', 'O3', 'CO', 'HCHO']</li> </ul> <h2><a href="#h_9861938573981722161330905">Y_val.npy</a></h2> <p>Validation target data with shape: (74, 1, 291, 512, 1)</p> <ul> <li>74: dates</li> <li>1: time steps</li> <li>291: latitudes</li> <li>512: longitudes</li> <li>6: Features ['SO2', 'NO2', 'CH4', 'O3', 'CO', 'HCHO']</li> </ul> <h2><a href="#h_321677095651722161353847">smogseer50.keras</a></h2> <p>Model weights for training the ConvLSTM with 50 epochs.</p> <h2><a href="#h_5931467847131722161401921">smogseer100.keras</a></h2> <p>Model weights for training the ConvLSTM with 10 epochs.</p>

opencc-by-nc-nd-4.0Jul 2024View details →
zenodo28/100

The Harmonized Atmospheric Ozone Column Concentration Dataset from 2005 to 2022 with OMI and Sentinel-5P TROPOMI products on the Tibetan Plateau

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
nasa28/100

HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Seasonal Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_S_L3) at GES DISC

This product provides level 3 seasonal averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in June-August 2018 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

restrictednotspecifiedApr 2025View details →
nasa28/100

HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) CONUS Annual Level 3 0.01 x 0.01 Degree Gridded Data V2.4 (HAQ_TROPOMI_NO2_CONUS_A_L3) at GES DISC

This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the Continental United States oversampled to a spatial resolution of 0.01˚ x 0.01˚ (~1 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Tropospheric Ozone Column V2 (S5P_L2__O3_TCL) at GES DISC

Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before July 13 of 2020, please check S5P_L2__O3_TCL_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.Copernicus Sentinel-5P tropospheric ozone data products are retrieved by the convective-cloud-differential (CCD) algorithm to derive the tropospheric ozone columns and by the cloud slicing algorithm (CSA) to derive mean upper tropospheric ozone volume mixing ratios above the clouds. The S5P_TROPOZ_CCD algorithm uses TROPOMI Level-2 ozone column measurements and the cloud parameters provided by the S5P_CLOUD_OCRA and S5P_CLOUD_ROCINN, the average values of the tropospheric ozone columns below 270 hpa can be determined. The S5P_TROPOZ_CSA algorithm uses the correlation between could top pressure and the ozone column above the cloud. The retrieval depends on the amount of measurements with a high cloud cover. The products are restricted in the tropical region (-20 degrees to 20 degrees of latitude).The main outputs of the Copernicus S5P/TROPOMI tropospheric ozone product include the tropospheric ozone column and corresponding errors, upper tropospheric ozone and corresponding errors, stratospheric ozone column and corresponding errors, and the retrieval quality flags. The data are stored in an enhanced netCDF-4 format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Methane CH4 1-Orbit L2 5.5km x 7km V2 (S5P_L2__CH4____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__CH4____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 retrieval algorithm for Sentinel-5P TROPOMI methane product is a physics based method that uses the Oxygen-A band (760 nm) and absorption bands in shortwave infrared spectrum. In Sentinel-5P/TROPOMI methane algorithm, the atmosphere forward model simulates the absorbing gas (oxygen, methane, water vapor, and carbon monoxide) optical properties, as well as aerosol optical properties with size distribution, refractive index, and number concentration. The inversion is performed based on the forward calculation, the measurement, and the prior information. Cloud filtering is critical in methane retrieval, S5P methane algorithm applies re-gridded Visible Infrared Imaging Radiometer Suite (VIIRS) cloud mask data. Additional cloud filters based on S5P/TROPOMI measurements and the FRESCO apparent surface pressure will be applied when VIIRS cloud data are not available. Other current data filters in the retrieval algorithm include land-only pixels (excluding mountainous areas), spectrum intensity, solar zenith angle and instrument zenith angle. The S5P/TROPOMI methane retrieval is for non-time-critical (NTC) data stream only, and its main outputs include the column averaged dry air mixing ratio of methane, the random error, and the biased corrected dry air methane fraction data based on the retrieved surface albedo. Starting from orbit #12432 on March 7th of 2020, the S-NPP auxiliary cloud data source used in the methane product data processing has been transitioned from the VIIRS Cloud Mask (VCM) into the Enterprise Cloud Mask (ECM).The data are stored in an enhanced netCDF-4 format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Total Ozone Column 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__O3_TOT_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.Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before August 6th of 2019, please check S5P_L2__O3_TOT_1 data collection.For data between August 6th of 2019 and July 13th of 2020, please check S5P_L2__O3_TOT_HiR_1 data collection.For data after July 13th of 2020, please check S5P_L2__O3_TOT_HiR_2 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.This total column ozone product (S5P_L2__O3_TOT, aka ESA's S5P_L2__O3____) applies the the Direct-fitting algorithm (S5P_TO3_GODFIT), comprising a non-linear least squares inversion by comparing the simulated and measured backscattered radiances. The main products include total vertical column ozone, ozone effective temperature, and the error information in NetCDF-4 format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Tropospheric Ozone Column V1 (S5P_L2__O3_TCL) at GES DISC

Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data after July 2nd of 2020, please check S5P_L2__O3_TCL_2 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.Copernicus Sentinel-5P tropospheric ozone data products are retrieved by the convective-cloud-differential (CCD) algorithm to derive the tropospheric ozone columns and by the cloud slicing algorithm (CSA) to derive mean upper tropospheric ozone volume mixing ratios above the clouds. The S5P_TROPOZ_CCD algorithm uses TROPOMI Level-2 ozone column measurements and the cloud parameters provided by the S5P_CLOUD_OCRA and S5P_CLOUD_ROCINN, the average values of the tropospheric ozone columns below 270 hpa can be determined. The S5P_TROPOZ_CSA algorithm uses the correlation between could top pressure and the ozone column above the cloud. The retrieval depends on the amount of measurements with a high cloud cover. The products are restricted in the tropical region (-20 degrees to 20 degrees of latitude).The main outputs of the Copernicus S5P/TROPOMI tropospheric ozone product include the tropospheric ozone column and corresponding errors, upper tropospheric ozone and corresponding errors, stratospheric ozone column and corresponding errors, and the retrieval quality flags. The data are stored in an enhanced netCDF-4 format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Cloud 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__CLOUD__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.Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before August 6th of 2019, please check S5P_L2__CLOUD__1 data collection.For data between August 6th of 2019 and July 13th of 2020, please check S5P_L2__CLOUD__HiR_1 data collection.For data after July 13th of 2020, please check S5P_L2__CLOUD__HiR_2 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 Cloud products are retrieved by two algorithms. The S5P_CLOUD_OCRA is based on the Optical Cloud Recognition Algorithm which generates the fractional cloud cover. The S5P_CLOUD_ROCINN (the Retrieval Of Cloud Information through Neural Networks algorithm) is built on measurements in and around the O2 A-band, which produces the cloud optical thickness and the cloud top height.

restrictednotspecifiedApr 2025View details →
nasa28/100

Sentinel-5P TROPOMI Aerosol Index 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__AER_AI_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__AER_AI_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 UV Aerosol Index has been calculated based on wavelength dependent changes in Rayleigh scattering in the UV spectral range where ozone absorption is weak. A residual value is calculated from measured top-of-atmosphere (TOA) reflectance and per-calculated theoretical reflectance for a Rayleigh scattering-only atmosphere given a wavelength pair. TROPOMI UVAI products use the classical wavelength pair of 340/380 nm, and the OMI chosen 354/388 nm pair for the long-term continuous AI record. Figure 1 shows TROPOMI UVAI of orbit# 4060.

restrictednotspecifiedApr 2025View details →
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Sentinel-5P TROPOMI Ozone Profile 1-Orbit L2 30km x 30km V2 (S5P_L2__O3__PR_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. S5P_L2__O3__PR_HiR data collection contains the high spatial resolution products. The 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.This product contains ozone profile with a vertical resolution of 6 km and a horizontal resolution of 30x30km2 observed at about 13:30 local solar time from spectra measured by TROPOMI

restrictednotspecifiedApr 2025View details →
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Sentinel-5P TROPOMI Sulphur Dioxide SO2 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__SO2____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.Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before August 6th of 2019, please check S5P_L2__SO2____1 data collection.For data between August 6th of 2019 and July 13th of 2020, please check S5P_L2__SO2____HiR_1 data collection.For data after July 13th of 2020, please check S5P_L2__SO2____HiR_2 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 retrieval algorithm for Sentinel-5P TROPOMI SO2 from ultraviolet spectral measurements is the Differential Optical Absorption Spectroscopy (DOAS) method. The relevant information of absorption cross section, instrument characteristics, cloud cover, and geolocation are utilized to derive SO2 slant column density (SCD). A sensitive spectral window of 312 to 326 nm is set as the baseline for the slant column fit with another two spectral windows (325 to 335 nm, 360 to 390 nm) to account for the non-linear effects in those high column amount cases. The SCD is then corrected with the empirical offsets to the systematic biases. The air mass factor (AMF) Look-up table has been created with the LIDORT radiative transfer model. The outputs of the DOAS algorithm are SO2 vertical column density (VCD), SCD, AMF, the DOAS-type averaging kernels (AK), and error estimates.

restrictednotspecifiedApr 2025View details →
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Sentinel-5P TROPOMI Irradiance product SWIR module L1B V2 (S5P_L1B_IR_SIR) at GES DISC

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).TROPOMI Level-1B (L1B) product is generated by the Koninklijk Nederlands Meteoroligisch Instituut (KNMI) TROPOMI L01B processor from Level-0 input data and auxiliary data products with the netCDF-4 enhanced model. It provides users with radiance, irradiance, calibration and engineering products.

restrictednotspecifiedApr 2025View details →
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HAQAST Sentinel-5P TROPOMI Nitrogen Dioxide (NO2) GLOBAL Annual Level 3 0.1 x 0.1 Degree Gridded Data Version 2.4 (HAQ_TROPOMI_NO2_GLOBAL_A_L3) at GES DISC

This product provides level 3 annual averages of tropospheric Nitrogen dioxide (NO2) vertical column density derived from the level 2 Tropospheric Monitoring Instrument (TROPOMI) across the globe oversampled to a spatial resolution of 0.1˚ x 0.1˚ (~10 km2) using a consistent algorithm from the European Space Agency (ESA) version 2.4 that can be used for trend analysis of air pollution. The dataset record began in January 2019 and continues to the present. This L3 product was developed by the George Washington University Air, Climate and Health Laboratory as part of the NASA Health Air Quality Applied Science Team (HAQAST) using Level 2 version 2.4 TROPOMI NO2 files from the ESA. The TROPOMI instrument on Sentinel-5 Precursor acquires tropospheric NO2 column contents from low Earth orbit (~824 km above ground level) once per day globally at approximately 13:30 local time.NO2 is an air pollutant that adversely affects the human respiratory system and leads to premature mortality. NO2 is also an important precursor for ozone and fine particulates, which also have severe health impacts. In urban areas, the majority of NO2 originates from anthropogenic NOx (=NO+NO2; most NOx is emitted as NO, which rapidly cycles to NO2) emissions during high-temperature fossil fuel combustion. Tropospheric NO2 vertical column contents are qualitatively representative of near-surface NO2 concentrations and NOx emissions in urban/polluted locations.

restrictednotspecifiedApr 2025View details →
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Sentinel-5P TROPOMI Tropospheric Formaldehyde HCHO 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__HCHO___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.Starting from July 13th in 2020, five Sentinel-5P TROPOMI level-2 products including total and tropospheric column ozone, sulfur dioxide, CLOUD, and formaldehyde have been generated in processor version 2.For data before August 6th of 2019, please check S5P_L2__HCHO___1 data collection.For data between August 6th of 2019 and July 13th of 2020, please check S5P_L2__HCHO___HiR_1 data collection.For data after July 13th of 2020, please check S5P_L2__HCHO___HiR_2 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 retrieval algorithm for Sentinel-5P TROPOMI HCHO from ultraviolet spectral measurements is the Differential Optical Absorption Spectroscopy (DOAS) method. The relevant information of absorption cross section, instrument characteristics, cloud cover as well as aerosol index are utilized to derive HCHO slant column density (SCD). The air mass factor (AMF) Look-up table has been created with the VLIDORT 2.6 radiative transfer model at the wavelength of 340 nm, and the AMF is used to compute the total column averaging kernels (AK). The background normalization of the slant columns is essential for weak absorbent like formaldehyde to compensate for possible systematic offsets. The main outputs of the DOAS algorithm are the vertical column density (VCD), SCD, AMF, uncertainty, AK, and quality flags.

restrictednotspecifiedApr 2025View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record