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Dataset results
9 results for “Sentinel-3”
GRWSE-global river water surface elevation from sentinel-3
<p>This dataset includes time series of Water Surface Elevation (WSE) of large rivers at over 3000 virtual stations. The WSE time series were created using Sentinel-3A and Sentinel-3B altimetry data. </p>
Sentinel-3 NDVI ARD and Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Lombardia
<p>Sentinel-3 NDVI Analysis Ready Data (ARD) (C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc) product provided by the Copernicus Global Land Service [3]. The file C_GLS_NDVI_20220101_20220701_Lombardia_S3_2_masked.nc is derived from C_GLS_NDVI_20220101_20220701_Lombardia_S3_2.nc but values have been scaled (raw_value * ( 1/250) - 0.08) and values lower then -0.08 and greater than 0.92 have been removed (set to missing values).</p> <p>The original dataset can also be discovered through the OpenEO API[5] from the CGLS distributor VITO [4]. Access is free of charge but an <a href="https://aai.egi.eu/">EGI registration</a> is needed.</p> <p>The file called Italy.geojson has been created using the Global Administrative Unit Layers <a href="https://data.apps.fao.org/map/catalog/srv/eng/catalog.search#/metadata/9c35ba10-5649-41c8-bdfc-eb78e9e65654">GAUL G2015_2014</a> provided by FAO-UN (see <a href="https://data.apps.fao.org/map/catalog/srv/api/records/9c35ba10-5649-41c8-bdfc-eb78e9e65654/attachments/GAUL2015_Documentation.zip">Documentation</a>). It only contains information related to Italy.</p> <p> </p> <p>Further info about drought indexes can be found in the Integrated Drought Management Programme [5]</p> <p>[1] <a href="https://www.sciencedirect.com/science/article/abs/pii/027311779500079T">Application of vegetation index and brightness temperature for drought detection</a> [2] <a href="https://en.wikipedia.org/wiki/Normalized_difference_vegetation_index">NDVI</a> [3] <a href="https://land.copernicus.eu/global/index.html">Copernicus Global Land Service</a> [4] <a href="https://vito.be/en">Vito</a> [5] <a href="https://openeo.org/">OpenEO</a> [5] <a href="https://www.droughtmanagement.info/indices">Integrated Drought Management</a></p>
Evaluation of Spatiotemporal Fusion Methods Using Sentinel-2 And Sentinel-3: A New Benchmark Dataset And Comparison
<p>In Earth observation, data fusion is important to generate high temporal and spatial resolution images. Nevertheless, existing research on data fusion primarily concentrates on merging two sources of data (mostly MODIS and Landsat). Therefore, we offer the community a new benchmark dataset for evaluating data fusion using new European sensors (Sentinel-2 and Sentinel-3).</p> <p>The dataset is composed of three different sites located in different parts of the world to ensure the diversity of the ecosystem. The two components of the dataset are collected from operating missions ( Sentinel-2 and Sentinel-3). We also provide 10 bands for Sentinel-2 ranging from blue to SWIR, 4 bands at 10m resolution and 6 at 20m resolution. For Sentinel-3 16 bands are provided with a spatial resolution of 300m. The multiple bands allow for different applications for this dataset such as testing data fusion methods, etc.</p>
Sentinel-3 SLSTR and MODIS satellite images of Raikoke 2019 and Eyjafjallajökull 2010 eruptions
<p>Dataset used for the study presented in the paper "Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case" (Petracca, I., De Santis, D., Picchiani, M., Corradini, S., Guerrieri, L., Prata, F., Merucci, L., Stelitano, D., Del Frate, F., Salvucci, G., and Schiavon, G.: Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-173, in review, 2022.).<br> </p> <p> </p>
Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring
<p>Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring</p>
Zarr of Sentinel-3 NDVI Long Term Statistics (1999-2019) from the Copernicus Global Land Service over Troms and Finnmark (Norway)
<p>Normalized Difference Vegetation Index (NDVI) in the form of a zarr (tarball) from Sentinel-3 NDVI Analysis Ready Cloud Optimized (ARCO dataset) - The original data is provided by the Copernicus Global Land Service.</p> <p><br> One can extract the zarr folder using a command like:<br> </p> <pre><code>tar xvf c_gls_NDVI-LTS_1999-2019-Troms_Finnmark_VGT-PROBAV_V3.tar</code></pre> <p> </p>
Animation of Sentinel-3 aerosol optical depth over Europe in 2019.
<p>Animation of Sentinel-3 aerosol optical depth over Europe in 2019. 14 day averages. Left: Sentinel-3 Synergy land product. Middle: Machine learning based retrieval. Right: POPCORN post-process corrected aerosol optical depth.</p>
Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6 Version 5.2
This dataset contains the Global Mean Sea Level (GMSL) trend generated from the Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 5.2. The GMSL trend is a 1-dimensional time series of globally averaged Sea Surface Height Anomalies (SSHA) from TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A that covers September 1992 to present with a lag of up to 4 months. The data are reported as variations relative to a 20-year TOPEX/Jason collinear mean. Bias adjustments and cross-calibrations were applied to ensure SSHA data are consistent across the missions; Glacial Isostatic Adjustment (GIA) was also applied. The data are available as a table in ASCII format. Changes between the version 5.1 and version 5.2 releases are described in detail in the user handbook.
Sentinel-5P TROPOMI SNPP VIIRS cloud product band 6 (NIR detector) 1-Orbit L2 5.5km x 3.5km V1 (S5P_L2__NP_BD6_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__NP_BD6_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 is flying in a loose formation with U.S. Suomi National Polar-orbiting Partnership (SNPP) so that S5P is able to utilize the high spatial resolution capability of the Visible Infrared Imager Radiometer Suite (VIIRS) instrument. S5P_L2_NP_BDx product contains VIIRS cloud information for each S5P across-track observation in a given band (i.e. band 3, band 6 and band 7). In addition to the nominal filed-of-view (FOV), the S5P_NPPC products are also generated for three scaled FOVs both in along and across-track directions to account for the presence of cloud covering a more extended area than the nominal FOV. The main output of S5P_L2_NP_BDx are the number of VIIRS pixels classified as confidently cloudy, probably cloudy, probably clear, and confidently clear; and the VIIRS sun-normalized radiance information in band M7, M9, and M11 such as mean, standard deviation, as well as number of valid radiance contributions.
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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)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.