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.
223
datasets available to search
ShareScore release 0.9.0
Dataset results
223 results for “Caspian Sea”
Figure 10 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 10. Dependence between SST from the drifter and according to data from Landsat-5, -7 sensors having different levels of processing.
Figure 7 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 7. Histogram of temperature determination error values according to Landsat Level-1 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 3. A in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 3. A mosaic of Landsat-7 images in the Caspian Sea: (a) from 4 October 2006 to 20 February 2007, and (b) from 19 July 2008 to 10 October 2008. Drifter tracks are superimposed on satellite images.
Figure 9 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 9. Histogram of temperature determination error values according to Landsat Level-2 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 6 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 6. The relationship between the temperature of the sea surface layer obtained from drifters and SST according to Landsat-5, -7 Level-1 data: (a) measurements that have a time difference of no more than two hours with the flight of the satellite; (b) all measurements on the day of the satellite flyby.
Figure 5 in Assessment of the accuracy of determining the Caspian Sea surface temperature by Landsat-5, -7 satellites based on the measurements of drifters
Figure 5. Examples of using a cloud mask (satellite image taken on 29 July 2008). At the time of the satellite's flight, all measurement points for the day are blocked by clouds: (a) satellite image in natural colors with missing information along the bands; (b) same image with cloud mask superimposed. Red dots show several locations of one drifter during the day of satellite image acquisition.
Figure 22 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 22. Outlines of 8 dipole structures that preceded all intense algal blooms in the central part of the South Caspian during the study period from 1999 to 2022. Different colors mark different years.
Figure 20 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 20 shows interannual variability of monthly averaged cloudiness for June, July, August and September in 2002-2022. One can see that all bloom events have occurred when monthly averaged cloudiness was in the range of 0.1-0.57. In general, absence of clouds should be favorable for algal bloom due to high level of insolation, but we can point to years 2006, 2012, 2014, 2016, and 2022 when monthly averaged cloudiness in August was less than 0.3 and no algal blooms were identified.
Figure 21 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 21. Interannual variability of photosynthetically active radiation (Einstein/m2day) in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 20 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 20. Interannual variability of cloudiness in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 17 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 17. Interannual variability of SST (0C) in June, July, August and September (2002-2022) in the southern part of the South Caspian. Red circles mark cases of intense algal bloom.
Figure 19 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 19 shows interannual variability of monthly averaged wind speed for June, July, August and September in 2000-2022. We can see that all bloom events occurred when monthly averaged wind speed was in the range of 4.3-5.0 m/s. In general, low wind speed should be favorable for algal bloom due to absence of wind-wave mixing, but the problem is that this area of the Caspian is the calmest area of the sea (Rahimi et al. 2022). Only twice, in September 2016 and 2019, wind speed reached 5.5-5.75 m/s (Figure 19). Seemingly, every year should be favorable for algal bloom, but that is not true. Moreover, in August 2003, 2006, 2007, 2014, and 2016, wind speed was less than 4.3 m/s and no algal blooms were recorded in these years.
Figure 16 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 16. Features of intense bloom of cyanobacteria in the South Caspian in 2021: Aqua MODIS true color image of July 4 (a); map of Chl-a concentration of July 4 (b); Sentinel-2A MSI image of July 21 (c).
Figure 14 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 14. Features of intense bloom of cyanobacteria at the border of the Middle and South Caspian on August 8, 2017 (Aqua MODIS true color image)
Figure 15 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 15. Features of intense bloom of cyanobacteria in the South Caspian in a Suomi NPP VIIRS true color image of July 29, 2018.
Figure 13 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 13. Features of intense bloom of cyanobacteria in the South Caspian in 2017 in Aqua MODIS true color images of: July 23 in the southeastern part (a); August 3 in the southern part (b); August 8 - a merged structure along the entire southern coast (c). Map of Chl-a concentration (d) is drawn from Aqua MODIS data of August 8
Figure 12 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 12. Features of intense phytoplankton bloom in the South Caspian in 2010 in Aqua MODIS true color images of July 13 (a) and August 4 (b)
Figure 8 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 8. Features of intense phytoplankton bloom in the South Caspian in 2001 in true color Terra MODIS images: in the initial period, on July 14 (a), arrows indicate the bloom area; at the peak of the bloom, on July 25 (b).
Figure 9 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 9. Features of various stages of intense cyanobacteria bloom in the South Caspian in August-September 2005 in Aqua MODIS true color images of: August 14 (a); August 24 (b); September 1 (c); September 16 (e). Map of Chl-a concentration of September 1 (d) is taken from (Soloviev 2005).
Figure 7 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 7. Schematic map of intense phytoplankton bloom areas in 2022 (green contours), built from daily Aqua MODIS data in the See the Sea information system.
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.