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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.
Figure 11 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 11. Features of intense bloom of cyanobacteria in the South Caspian in Aqua MODIS true color image of August 20, 2009.
Figure 4 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 4. Annual maximum, mean and minimum Chl-a concentrations for the North Caspian (a), Middle Caspian (b), South Caspian (c) in the period from July 2002 to December 2022, from Aqua MODIS data.
Figure 6 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 6. Features of coastal current, vortex structures and jets along the western coast of the Caspian Sea in an Aqua MODIS image of July 26, 2022. The tracer is Chl-a of high concentration.
Figure 2 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 2. Features of various types of algae in the Middle Caspian in a true color image of Landsat-8 OLI of August 6, 2017. (©OceanColor Web).
Figure 3 in Spatio-Temporal Variability of Algal Bloom in the Caspian Sea
Figure 3. Average monthly values of Chl-a concentration for the North Caspian (a,b), Middle Caspian (c,d) and South Caspian (e,f) in the period from July 2002 to December 2022, from Aqua MODIS data.
Fig. 2 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 2. Intensity of infection (mean ± SE number of parasites per host, including infected hosts only) of the six most common helminth parasites of eels, Anguilla anguilla, in Comacchio Lagoons, during three sampling periods. Graphs on the right-hand side do not include the 2015–2017 period, as these species were not found during that period. See Table 1 for full species names.
Fig. 4 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 4. Pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. The line represents the relationship (with 95% confidence intervals) predicted by the generalized linear model; see text. Tick marks indicate partial residuals with either positive (top) or negative values (bottom). See Table 1 for full species names.
Fig. 3 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 3. Scatterplots of pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. See Table 1 for full species names.
Fig. 1 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 1. Abundance (mean number of parasites per host, including non-infected hosts) of the six most common helminth parasites of eels, Anguilla anguilla, in Comacchio Lagoons, during three sampling periods: 2005–2006 (N = 140 eels), 2010–2013 (N = 131), and 2015–2017 (N = 30). Note that some values for the time period 2015–2017 are based on very few fish; see Table 1 for actual numbers and for full species names.
Fig. 4 in Global and temporal spread of a taxonomically challenging invasive ant, Brachyponera chinensis (Hymenoptera: Formicidae)
Fig. 4. Temporal distribution of reproductive individuals (female and male alates) and brood presence within Brachyponera chinensis nests (dark gray) with overall sampling period shown in light gray. Numbers indicated when sampling occurred during the yr.
Fig. 3 in Global and temporal spread of a taxonomically challenging invasive ant, Brachyponera chinensis (Hymenoptera: Formicidae)
Fig. 3. Elevation distribution of Brachyponera chinensis in its native range. Shaded areas correspond to the elevation at which B. chinensis has been collected for each specific reference. Light gray areas were sites at a given altitude that were sampled, but no B. chinensis were found. References used are presented in
Fig. 2 in Global and temporal spread of a taxonomically challenging invasive ant, Brachyponera chinensis (Hymenoptera: Formicidae)
Fig. 2. Introduced range distributions. (A-E) Spread over time of Brachyponera chinensis from the earliest record in 1932 to 2018 in the US presented by 20-yr periods, with 1 record from Washington State not displayed; (F) and along the east coast of the Black Sea in south Russia and Georgia (with color code for temporal periods similar to Figs. D, E).
ScienceDex guides
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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)
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.