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Figure 5 from: Wang Y, Li X (2016) A new Maldane species and a new Maldaninae genus and species (Maldanidae, Annelida) from coastal waters of China. ZooKeys 603: 1-16. https://doi.org/10.3897/zookeys.603.9125
Figure 5 - Chaetae of Maldane adunca sp. n. A–B neurochaetae from the 2nd and 17th chaetigers C spinose part of notochaetae D notochaetae from 16th chaetiger E short limbate companion chaetae from 18th chaetiger F transitional part of geniculate companion chaetae G companion chaetae from 14th chaetiger. H–J, notochaetae drawn from optical microscope H spirally-fringed notochaetae I geniculate companion chaetae J bilimbate companion chaetae. BC, bilimbate companion chaeta. GC, geniculate companion chaeta. Scal bars: A–C = 60 μm, D–E = 0.5 mm, F–G = 50 μm, H–J = 0.5 mm.
FIGURE 12 in Review of amphipods of the genus Cryptodius Moore, 1992 (Amphipoda: Ochlesidae) from the coastal waters of Sakhalin Island (Far East of Russia)
FIGURE 12. Phenogram of Cryptodius and Odius species.
FIGURE 1 in Review of amphipods of the genus Cryptodius Moore, 1992 (Amphipoda: Ochlesidae) from the coastal waters of Sakhalin Island (Far East of Russia)
FIGURE 1. Distribution of Cryptodius species on the shelf of Sakhalin Island.
FIGURE 13 in Review of amphipods of the genus Cryptodius Moore, 1992 (Amphipoda: Ochlesidae) from the coastal waters of Sakhalin Island (Far East of Russia)
FIGURE 13. Distributional map of Cryptodius and Odius species.
Data from: Population structure, gene flow, and historical demography of a small coastal shark (Carcharhinus isodon) in US waters of the Western Atlantic Ocean
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Data from: Structure of the rare archaeal biosphere and seasonal dynamics of active ecotypes in surface coastal waters
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Potential distribution of seagrass meadows based on MaxEnt model in Chinese coastal waters
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JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.3 Version 04
This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.3Mv04). A Coastal Resolution Improvement (CRI) filter has been applied to this data set to reduce signal leakage errors across coastlines. For most land hydrology, oceanographic as well as land-ice applications this is the recommend data set for the analysis of surface mass changes. The data are provided in a single data file in netCDF format, with water storage/height anomalies in equivalent water thickness units (cm). The data are derived from solving for monthly gravity field variations on geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the computation to intrinsically remove correlated errors. Thus, these Mascon grids do not need to be de-correlated or smoothed, like traditional spherical harmonic gravity solutions.<br><br> The complete Mascon solution consists of 4,551 independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. A subset of these individual mascons span coastlines, and contain mixed land and ocean mass change signals. In a post-processing step, the CRI filter is applied to those mixed land/ocean Mascons to separate land and ocean mass. The land mask used to perform this separation is provided in the same directory as this dataset, as are uncertainty values, and the gridded mascon-ID number to enable further analysis. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (for continental hydrology applications) that can be applied to the solution to study mass change signals at sub-mascon resolution is also provided within the same data directory as the Mascon data. For use-case examples and further background on the gain factors, please see Wiese, Landerer & Watkins, 2016, https://doi.org/10.1002/2016WR019344.<br><br>This RL06.3Mv04 is an updated version of the previous Tellus JPL Mascon RL06.1Mv03 (DOI, 10.5067/TEMSC-3JC63). For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. For a detailed description of the CRI filter implementation, please see Wiese et al., 2016, doi:10.1002/2016WR019344.
Figure 4 from: Lee S, Soh HY, Lee W (2019) A new species in the genus Acartia Dana, 1846 (Crustacea, Copepoda, Calanoida, Acartiidae) from the South Pacific coastal waters of Nadi Bay, Fiji. ZooKeys 893: 69-89. https://doi.org/10.3897/zookeys.893.38369
Figure 4 Acartia nadiensis sp. nov. female. A P1 B P2 C P3 D P4. Scale bars: in μm.
Figure 1 from: Dorado-Roncancio J, Gaviria S, Bernal-De La Torre L, Ahrens MJ (2019) A new species of Bestiolina (Crustacea, Copepoda, Calanoida, Paracalanidae) from coastal waters of the Colombian Pacific, including a worldwide key for the identification of the species. ZooKeys 846: 1-18. https://doi.org/10.3897/zookeys.846.31497
Figure 1 Sampling locations (modified from Dorado Roncancio 2018).
Figure 6 in Zooplankton abundance, biomass, and size structure in the coastal waters of the northeastern Mediterranean Sea
Figure 6. Annual mean values of zooplankton size groups.
Figure 5 in Zooplankton abundance, biomass, and size structure in the coastal waters of the northeastern Mediterranean Sea
Figure 5. Seasonal variations of zooplankton abundance and biomass in the sampling period.
Figure 3 in Does the location of coastal brackish waters determine diversity and abundance of zooplankton assemblages?
Figure 3. Abundance (ind. dm–3) of zooplankton in the Vistula Lagoon and Lake Łebsko in 2010–2011.
Supplementary material, Figure S6 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p><span> </span><span>Supplementary material, Figure S6 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</span></p> <p>Figure S6. Morphological abundance of particles in surface water samples collected in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p>
Indicators of Coastal Water Quality: Change in Chlorophyll-a Concentration 1998-2007
The Change in Chlorophyll-a Concentrations 1998-2007 component of the Indicators of Coastal Water Quality Collection represents a tabular time series of the chlorophyll-a concentrations for each grid cell, derived from the "Indicators of Coastal Water Quality: Annual Chlorophyll-a Concentration 1998-2007" data set. Chlorophyll-a concentrations are derived from NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS). The grid cells are organized by country, and the percentage of change from 1998-2007 is calculated for each cell. Each time series was assessed with a linear regression, and cells with statistically significant trends in chlorophyll-a concentrations are identified. The rows of the table are linked to a sequence grid from the "Indicators of Coastal Water Quality: Ancillary Data" collection to facilitate the mapping of the trend values for selected countries and areas of interest. The data are processed and compiled by the Columbia University Center for International Earth Science Information Network (CIESIN).
Indicators of Coastal Water Quality: Ancillary Data
The Ancillary Data component of the Indicators of Coastal Water Quality Collection includes a 5 arc-minute (approximately 9 x 9 km at the equator) sequence grid, grid cell centroids that relate to the grid cells in the tabular "Indicators of Coastal Water Quality: Change in Chlorophyll-a Concentration 1998-2007" data set, and a country buffer data set that is divided by exclusive economic zones (EEZ). The data are produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
Impacts of estuarine processes on delivery of Arctic riverine materials to the near coastal environment: Implications for water quality and biogeochemical cycling in preparation for Arctic-COLORS
This research project seeks to jumpstart Arctic-COLORS while filling major gaps in our knowledge about the transformation of riverine water quality constituents from the ABoVE domain through estuaries to the near coastal environment. The project conducted field sampling in the Yukon River, delta and plume waters for three transects in spring, early and late summer, and acquisition of additional transect samples during similar flow regimes through our collaborators on the north slope of Alaska and Mackenzie River. Field measurements included a number of water quality parameters relevant to Arctic biogeochemical function and NASA products, including dissolved organic matter (DOM), particulate organic matter (POM), suspended particulate matter (SPM), chlorophyll-a, radiometry, in situ inherent optical properties, discrete dissolved and particle absorption, fluorescent DOM (FDOM), lignin phenols, HPLC pigments, bioavailability of dissolved organic carbon (DOC). Combined, our field sampling, algorithm development, hindcasting, and synthesis efforts will provide a foundation for a successful Arctic-COLORS campaign while providing critical new knowledge of transformations in estuarine systems.
Indicators of Coastal Water Quality: Annual Chlorophyll-a Concentration 1998-2007
The Annual Chlorophyll-a Concentrations component of the Indicators of Coastal Water Quality Collection consists of gridded satellite measurements of chlorophyll-a concentrations (in nanogram/cubic meter) in a band extending between 10 and 100 km from the shoreline. Chlorophyll-a concentrations are derived from NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS). The grids are based on annual composites of SeaWiFS satellite data provided by the SeaWiFS Project, NASA/Goddard Space Flight Center and GeoEye in the form of HDF files at a resolution of 5 arc-minutes (approximately 9 x 9 km at the equator). The source files are true-color images generated from sub-sampled, calibrated, Rayleigh-corrected level-2 data, which are derived from raw radiance counts by applying sensor calibration, atmospheric corrections, and bio-optical algorithms. To arrive at chlorophyll-a concentrations, radiance counts were converted using the conversion formula provided as part of the original data files. The gridding is done by the Columbia University Center for International Earth Science Information Network (CIESIN).
Coastal campaigns for the validation of the OCI water-leaving reflectance data product
Rapid response field campaigns (small boats, small crew) to measure radiometry in the Santa Barbara Channel when sea and sky conditions are optimal for matchups. Process and deliver in situ high quality radiometric data for the validation of the reflectance data product of the PACE OCI instrument.
FIGURE 8 in Revision of the genus Parvimysis (Mysida, Mysidae) with descriptions of five new species from coastal waters of the Caribbean
FIGURE 8. Parvimysis ornata sp. nov. from Colombia (A–D, G–O, Q) and Panama (E, F, P, R); holotype, adult male with body length 2.1 mm (A, B, O), paratypes male 2.1 mm (C, G, J–M), females 2.7 mm (D, H, N), 2.9 mm (Q), non-type females 2.3 mm (E, F, P), 2.5 mm (R). A, anterior body region of male, dorsal aspect (setae omitted from antennal scale), detail (B) shows right eye in lateral view; C, carapace expanded on slide; D, female antennula, dorsal; E, apically pronged, serrated spine from lateralia in foregut; F, centro-apically serrated spine from posterior part of lateralia; G, dactylus of thoracic endopod 3; H–K, thoracic endopod 5 in female (H) and male (J), detail (K) shows dactylus; L, dactylus of thoracic endopod 8; M, male pleopod 4; N, female pleopod 5; O, P, variants of scutellum paracaudale, lateral; Q, R, telson variants.
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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)
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.