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619 results for “estuarine”
RNA Sequencing of Brain Tissue from Estuarine Dolphins
GEO Series GSE303874. Tursiops truncatus. 17 samples. Type: Expression profiling by high throughput sequencing.
Supplementary Files: Niche differentiation of active methane-oxidizing bacteria in estuarine mangrove forest soils in Taiwan
<p>Figure S1: Phylogeny of <em>pmoA</em> lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. Methanotrophic communities collected in Zhuwei by <a href="#_ENREF_16">Shiau et al. [16]</a> were also added for comparison. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes, Figure S2: Phylogeny of 16s rRNA lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes.</p>
Barrier effect of the Pearl River estuarine plume on wind
<p>temperature,salinity, nitrate data which were used in the paper titled"Barrier effect of the Pearl River estuarine plume on wind"</p>
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
Evaluating long-term contaminant effects on wildlife populations depends on spatial information about habitat quality, heterogeneity in contaminant exposure, and sensitivities and distributions of species integrated into a systems modeling approach. Rarely is this information readily available, making it difficult to determine the applicability of realistic models to quantify population-level risks. To evaluate the trade-offs between data demands and increased specificity of spatially explicit models for population-level risk assessments, we developed a model for a standard toxicity test species, the sheepshead minnow (Cyprinodon variegatus) exposed to oil contamination following the Deepwater Horizon oil spill and compared the output with various levels of model complexity to a standard risk quotient approach. The model uses habitat and fish occupancy data collected over five sampling periods throughout 2008-2010 in Pensacola and Choctawhatchee Bays, Florida, to predict species distribution, field-collected and publically available data on oil distribution and concentration, and chronic toxicity data from laboratory assays applied to a matrix population model. The habitat suitability model established distribution of fish within Barataria Bay, Louisiana, and the population model projected the dynamics of the species in the study area over a five-year period (October 2009 – September 2014). Vital rates were modified according to estimated contaminant concentrations to simulate oil exposure effects. To evaluate the differences in levels of model complexity, simulations varied from temporally and spatially explicit, including seasonal variation and location-specific oiling, to simple interpretations of a risk quotient derived for the study area. The results of this study indicate that species distribution, as well as spatially and temporally variable contaminant concentrations, can provide a more ecologically relevant evaluation of species recovery from catastrophic environmental impacts but might not be cost-effective or efficient for rapid assessment needs.
Supporting data and code for "The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community".
<p>R code and dataset for: Menegotto A., Dambros C.S. & Netto S.A. 2019. The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community. Ecology, 100, e02721.</p>
Figure 1 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 1 - The logo of VIS.
Figure 9 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 9 - Preview of the Darwin Core SQL view of the inland waters dataset.
Elkhorn Slough Estuarine Research Reserve long-term crab monitoring database
Open the record for dataset details and reuse information.
Data from: Spatially explicit assessment of estuarine fish after Deepwater Horizon oil spill: tradeoffs in complexity and parsimony
Open the record for dataset details and reuse information.
Land Margin Ecosystem Research (LMER): Trophic Interactions in Estuarine Systems (TIES)
Measurements taken under the Chesapeake Bay Land Margin Ecosystem Research (LMER): Trophic Interactions in Estuarine Systems (TIES) between 1993 and 2001.
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.
Impact of Estuarine Dams on the Estuarine Parameter Space and Sediment Flux Decomposition: Idealized Numerical Modeling Study.
<p>Input data to run the model; output data and scripts used to generate figures.</p>
FIGURE 166 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 166. Acreichthys tomentosus (Linnaeus 1758), Lissenung Island, Kavieng District, 11 Oct. 2007 (underwater photograph: Dietmar Amon).
FIGURE 139. Eviota prasites Jordan & Seale 1906 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 139. Eviota prasites Jordan & Seale 1906, Lissenung Island, Kavieng District, 15 May 2011 (underwater photograph: Dietmar Amon).
FIGURE 100 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 100. Paracirrhites forsteri (Schneider in Bloch & Schneider 1801), Lissenung Island, Kavieng District, 13 Oct. 2007 (underwater photograph: Dietmar Amon).
FIGURE 93 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 93. Parachaetodon ocellatus (Cuvier 1831), Lissenung Island, Kavieng District, 10 m depth, 21 Sept. 2012 (underwater photograph: Dean Tully).
FIGURE 22. Neobythites zonatus Nielsen 1997 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 22. Neobythites zonatus Nielsen 1997, St. CP4421-23, northeast of New Hanover, 470–525 m depth (NTUM uncat.) (photograph taken immediately after collection).
FIGURE 21. Bathypterois atricolor Alcock 1896 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 21. Bathypterois atricolor Alcock 1896, St. CP4433-10, north of Kavieng, 1056–1200 m depth (NTUM uncat.) (photograph taken immediately after collection).
FIGURE 11 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 11. Mobula kuhlii (Müller & Henle 1841), Lissenung Island, Kavieng District, 4 Mar. 2008 (underwater photograph: Dietmar Amon).
FIGURE 4. Ancistrosyllis matlaensis n in Ancistrosyllis matlaensis n. sp. (Polychaeta: Pilargidae) from the Sundarban Estuarine System, India
FIGURE 4. Ancistrosyllis matlaensis n. sp. holotype PUZ- 323. a) dorsal hooks and non limbate capillary chaetae; b) neurosetae with dorsal hook; c) neuropodia with non limbate neurochaetae; d) sabre-like neurochaetae with small hooked tip (scales: a, 25 µm; b, c, 15 µm; d, 5 µm) (nh—notopodial hook, nc—neurochaeta).
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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.