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677 results for “coastal waters”
Figure 3 in Distribution and abundance of dinoflagellates from the coastal waters of Karachi, Pakistan, northern part of the Arabian Sea
Figure 3. Monthly distribution of Phytoplankton and dinoflagellate species in offshore (MI-1 and MV-1) and nearshore (MI-2 and MV-2) waters along the Sindh coast of Pakistan. Abbreviations are as: MI: Manora Island; MV: Mubarak Village.
Figure 4 in Distribution and abundance of dinoflagellates from the coastal waters of Karachi, Pakistan, northern part of the Arabian Sea
Figure 4. Principal Component analysis (PCA) of hydro-biological variables, such as, phytoplankton (Phy) and dinoflagellates (Dino) abundance, chlorophyll a (Chl a), dissolved oxygen (DO), salinity (Sal), water temperature (W.tem), pH and transparency (trans) recorded for the coastal and near-shore waters (combined data)
Карта-схема района исследований. 1А, 1Б, 1В – станции раЗреЗа 1; 2А, 2Б, 2В – станции раЗреЗа 2; 3А, 3Б, 3В – станции раЗреЗа 3. A schematic map of the research area. 1A, 1Б, 1В – stations of line 1; 2A, 2Б, 2В – stations of line 2; 3A, 3Б, 3В – stations of line 3. in Pelagic larvae of bivalve mollusks in meroplankton in the coastal waters of Aniva Bay (southern Sakhalin, Sea of Okhotsk)
Карта-схема района исследований. 1А, 1Б, 1В – станции раЗреЗа 1; 2А, 2Б, 2В – станции раЗреЗа 2; 3А, 3Б, 3В – станции раЗреЗа 3. A schematic map of the research area. 1A, 1Б, 1В – stations of line 1; 2A, 2Б, 2В – stations of line 2; 3A, 3Б, 3В – stations of line 3.
Fig. 1. Eurystomatella sinica after protargol impregnation. A, C. Ventral views showing infraciliature and macronucleus. B in Taxonomy of four scuticociliates (Protozoa: Ciliophora) from coastal waters of South Korea
Fig. 1. Eurystomatella sinica after protargol impregnation. A, C. Ventral views showing infraciliature and macronucleus. B. Dorsal view showing somatic kineties. Ma, macronucleus; M1, M2a, M2b, M3, oral membranelles; PM, paroral membrane; SK, somatic kineties. Scale bar = 30 μm.
Fig. 1 in Morphological reports of four ciliates (Ciliophora) from coastal marine and brackish water habitats in Korea
Fig. 1. Photomicrographs of four ciliates on the basis of live observation (A, C, E, H) and after protargol impregnation (B, D, F, G, I). A, B, Gruberia calkinsi, left side view of a living specimen (A) and right side view of a protargolimpregnated specimen (B); C, D, Dysteria crassipes, left side views of living (C) and protargolimpregnated (D) specimens; EG, Zosterodasys agamaliev, ventral view of a living specimen (E), and ventral (F) and dorsal (G) views of potargolimpregnated specimens; H, I, Pleuronema salmastra, ventral views of living (H) and protargolimpregnated (I) specimens. Scale bars: A = 500 μm, B = 300 μm, C, D = 30 μm, E, H = 50 μm.
EOMORES earth observation and in situ data of water quality in lakes and coastal areas - year 1
<p>EOMORES is a European innovation project aiming to develop commercial services for monitoring the quality of inland and coastal water bodies, using data from Earth Observation (EO) satellites and in situ sensors to measure, model and forecast water quality parameters.</p> <p>The current data set is a sample of the data generated within the first project year (2017), and consists of Earth Observation (EO) data and in situ data from lakes and coastal areas. For full data sets, please contact the respective contact point listed for each area.<br> Data sets of the second (2018) and third (2019) year of EOMORES will also be submitted.</p> <p>The following is included:<br> - Estonia lakes and coast: in situ data 2017<br> - Finland: links to repositories of EO data<br> - Italy Trasimeno: sample of EO data 2017<br> - Lithuania Curonian Lagoon: sample of EO data 2017<br> - Netherlands Lake Markermeer: sample of EO data 2017<br> - Netherlands Lake Paterswoldsemeer: EO data 2015, 2016, 2017<br> - UK Scotland: in situ data Loch Leven and Loch Lomond 2017<br> - UK WCO Sentinel2A match ups: Western Channel Observatory match ups with Sentinel-2 satellite 2016, 2017</p> <p>http://eomores-h2020.eu</p>
Figure 5 in Reproductive biology of the greater lizardfish, Saurida tumbil (Bloch, 1795), in Bushehr coastal waters of Iran
Figure 5. Monthly variations in the GSI and HSI of greater lizardfish (Saurida tumbil, Synodontidae) (confidence intervals, 95%).
Figure 3 in Reproductive biology of the greater lizardfish, Saurida tumbil (Bloch, 1795), in Bushehr coastal waters of Iran
Figure 3. Monthly variations in the sexual stages of male greater lizardfish (Saurida tumbil, Synodontidae).
Figure 1 in Reproductive biology of the greater lizardfish, Saurida tumbil (Bloch, 1795), in Bushehr coastal waters of Iran
Figure 1. Length frequency for greater lizardfish (Saurida tumbil, Synodontidae) collected in this study.
Figure 1 in Short Communication Range extension and first record of Meretrix lusoria (Röding, 1798) (Mollusca: Bivalvia: Veneridae) from Indian coastal waters
Figure 1. Meretrix lusoria (Röding, 1798), (A) exterior, (B) interior, (C) hinge region; scale bar: 10 mm.
Figure 4 in Does the location of coastal brackish waters determine diversity and abundance of zooplankton assemblages?
Figure 4. Seasonal (monthly) changes in the total zooplankton abundance (mean, minimum, and maximum densities) (ind. dm–3) in the Vistula Lagoon and Lake Łebsko in 2010–2011.
Figure 6 in Does the location of coastal brackish waters determine diversity and abundance of zooplankton assemblages?
Figure 6. Seasonal (monthly) changes in the total zooplankton biomass (mean, minimum, and maximum values) (mg. dm–3) in the Vistula Lagoon and Lake Łebsko in 2010–2011.
Figure 4 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters
Figure 4. The relative size distribution of females (1) and males (2) in the spawning of 2016 -2019 (gonads on V maturity stage).
Figure 6 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters
Figure 6. The average weight – length relationship for the red mullet that lived in the coastal waters of Crimea in the spring and summer of 2016–2019.
Figure 2 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters
Figure 2. The average annual GSI values (1) of females and males of red mullet, the average monthly temperature of water (2) during the spawning period, and their standard deviations.
Figure 5 in Peculiarities of seasonal dynamics of net primary production and its microzooplankton grazing in the coastal waters of the Black Sea (Sevastopol region)
Figure 5. Seasonal dynamics of parameters: a – relative biomass of diatoms (1) and weighted average volume of phytoplankton cells (2), b – relative biomass of dinoflagellates (1) and coccolithophores (2), c – molar ratios N/P (1) and Si/N (2), d – net phytoplankton growth rate (1) and ratio g/µ (2) in station 2.
Figure 4 in Peculiarities of seasonal dynamics of net primary production and its microzooplankton grazing in the coastal waters of the Black Sea (Sevastopol region)
Figure 4. Seasonal dynamics of parameters: a – intensity of solar radiation (1) and water temperature (2), b – nitrates (1) and ammonium (2), c – silicates (1) and phosphates (2), c – net primary production (1) and chlorophyll a concentration (2) in station 2.
Figure 3 in Peculiarities of seasonal dynamics of net primary production and its microzooplankton grazing in the coastal waters of the Black Sea (Sevastopol region)
Figure 3. Seasonal dynamics of parameters: a – relative biomass of diatoms (1) and weighted average volume of phytoplankton cells (2), b – relative biomass of dinoflagellates (1) and coccolithophores (2), c – molar ratios N/P (1) and Si/N (2), d – net phytoplankton growth rate (1) and ratio g/µ (2) in station 1.
Figure 2 in Peculiarities of seasonal dynamics of net primary production and its microzooplankton grazing in the coastal waters of the Black Sea (Sevastopol region)
Figure 2. Seasonal dynamics of parameters: a – intensity of solar radiation (1) and water temperature (2), b – nitrates (1) and ammonium (2), c – silicates (1) and phosphates (2), c – net primary production (1) and chlorophyll a concentration (2) in station 1.
Figure 1 in Growth aspect of squid (Loligo chinensis) from the Banyuasin Coastal Waters, South Sumatra, Indonesia
Figure 1. Location and sampling in Banyuasin Coastal Waters. The black circle indicated the sampling position in 2018 while the white circle indicated the sampling position in 2019. Sampling was conducted using a stationary lift net.
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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.
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.