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Community and species-specific responses of coastal birds to COVID-19 "anthropause" in the largest hypersaline lagoon of South America
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Data for: Development of a learning community focused on sea-level rise and coastal habitat change
<p>Rapid habitat changes are occuring in salt marshes located in the Northeastern United States, including expansion of ponded areas on the marsh platform, die off of coastal forests, and subsequent colonization of 'ghost forests' by marsh vegetation. This work focuses on two main areas: (1) environmental conditions along the marsh forest border undergoing rapid transitions; and (2) environmental conditions and plant stress in marsh platforms with extensive ponding, with three study sites: in Long Island and Southern New England, where there are often significant slope breaks along the upland (slope ~0.01), and in southern New Jersey on the Atlantic Coastal plan (slope ~0.003).</p> <p>To better understand drivers of environmental change in marsh-forest borders undergoing rapid transitions, we measured shallow groundwater levels, soil salinity, and forest health and structure along the salt marsh-upland border at three sites with varying slopes using installation of shallow groundwater wells, drone imagery and associated image processing, and geophysical methods. To better understand drivers of environmental change on the marsh platform, we measured used piezometers to understand vertical gradients in marsh groundwater levels, and measured photosynthesis and plant biomass and used drone imagery to map plant stress indices, as indicators of plant stress. While we anticipate that this data will be published in journal articles of the next 2 years, we archive collected data to facilitated data sharing, as required by NSF.</p>
Supplementary material 1 from: Sogawa S, Tsuchiya K, Nagai S, Shimode S, Kuwahara VS (2022) Annual dynamics of eukaryotic and bacterial communities revealed by 18S and 16S rRNA metabarcoding in the coastal ecosystem of Sagami Bay, Japan. Metabarcoding and Metagenomics 6: e78181. https://doi.org/10.3897/mbmg.6.78181
Figures S1–S8
Fig. 5 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 5: Spatial variations of zooplankton abundance, zooplankton groups, dominant species, species richness and species diversity index along the west and east coasts of Djerba Island.
Fig. 3 in Disentangling the influences of habitat structure and limnological predictors on stream fish communities of a coastal basin, southeastern Brazil
Fig. 3. Results of partial Redundant Analyses (pRDA) showing the patterns of correlation among species abundance with the pure limnological (a), and pure structural (b) predictors. The asterisks indicate environmental variables which were statistically correlated (p ≤ 0.05) with community composition. Only species with eigenvectors higher than 0.2 were identified by their abbreviated symbols. The others were identified by black dots. This limit was arbitrary but chosen to evidence only the species which were mostly correlated with environmental predictors.
Fig. 2 in Disentangling the influences of habitat structure and limnological predictors on stream fish communities of a coastal basin, southeastern Brazil
Fig. 2. Results of the Principal Component Analysis (PCA) showing the clearwater (open circles) and blackwater (black circles) sites.
Fig. 1 in Disentangling the influences of habitat structure and limnological predictors on stream fish communities of a coastal basin, southeastern Brazil
Fig. 1. Hydrography and location of the sampling sites (first to third-order streams) in the coastal plain of Itanhaém River basin, southeastern Brazil. Open circles: clearwater streams. Black circles: blackwater streams.
Fig. 2 in Spatial variation of summer microphytoplankton and zooplankton communities related to environmental parameters in the coastal area of Djerba Island (Tunisia, Eastern Mediterranean) Abstract
Fig. 2: Spatial variations of physical-chemical parameters: temperature, salinity, pH, Dissolved Oxygen and/ Depth Transparency along the western and eastern coasts of Djerba Island.
Supplementary material 1 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Supplementary material 2 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Figure 2 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
Figure 2 The final path model showing the causal relationships between the landscape variables and both the taxonomic and functional diversity of fish communities in the coastal lakes of the Tramandaí River Basin in Southern Brazil. Dotted line = not significant (p > 0.05). The curved double-headed arrows in grey depict correlated errors among variables.
Figure 1 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
Figure 1 Hypothetical framework used to build the path model, with plausible causal connections between the landscape variables and both the taxonomic and functional diversity of the fish communities of the coastal lakes of the Tramandaí River Basin in Southern Brazil
Supplementary material 3 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Supplementary material 4 from: Hartz SM, Rocha EA, Brum FT, Luza AL, Guimarães TFR, Becker FG (2019) Influences of the area, shape and connectivity of coastal lakes on the taxonomic and functional diversity of fish communities in Southern Brazil. Zoologia 36: 1-12. https://doi.org/10.3897/zoologia.36.e23539
: Data type: species data
Figure 4 in The bee fauna of an Atlantic coastal plain tidal marsh community in southern New England, USA
Figure 4. Bipartite network diagram depicting interaction strength between netted bee species and the species of plants visited in 2011 and 2012. The length of the plant blocks on the left represents total bee visitation observed on that plant species. The length of the bee species blocks on the right represents total bee visits observed to all flowers. The width of the diagonal lines connecting the bee species and plant species represents the number of bee/plant interactions observed. Coastal plant species are aqua and upland species are purple. Bee species are represented by numerals 1–35 (color coded by genus): 1. Andrena forbesii; 2. Andrena crataegi; 3. Colletes thoracicus; 4. Bombus vagans; 5. Ceratina sp.; 6. Lasioglossum bruneri; 7. Osmia pumila; 8. Osmia simillima; 9. Andrena vicina; 10. Xylocopa virginica virginica; 11. Bombus perplexus; 12. Bombus bimaculatus; 13. Apis mellifera; 14. Andrena hippotes; 15. Lasioglossum ephialtum; 16. Lasioglossum marinum; 17. Lasioglossum viridatum; 18. Bombus griseocollis; 19. Andrena commoda; 20. Hylaeus schwarzii; 21. Ceratina dupla; 22. Agapostemon texanus; 23. Bombus impatiens; 24. Lasioglossum oblongum; 25. Ceratina mikmaqi; 26. Agapostemon virescens; 27. Ceratina calcarata; 28. Lasioglossum viridatum; 29. Augochlorella aurata; 30. Hylaeus illinoisensis; 31. Hylaeus aff. nelumbonis; 32. Hylaeus mesillae cressonii; 33. Hylaeus sp. affinis or modestus modestus; 34. Hylaeus modestus modestus; 35. Hylaeus leptocephalus.
Figure 1 in The bee fauna of an Atlantic coastal plain tidal marsh community in southern New England, USA
Figure 1. Marsh bee bowl transect: New Haven County, Guilford, Connecticut, 41.2678°N, -72.6563°W: Gravel road through tidal marsh, transect orientation N-S (image taken 14 April 2012).
Figure 7 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 7. RDA ordination plot for zooplankton taxa and some environmental variables. Taxa in RDA plot indicated with abbreviation: Alona rectangular - Alo rect; Anuraeopsis fissa - Anu fis; Asplanchna prIodonta - Asp prI.; BrachIonus angularIs - Bra ang; BrachIonus calycIflorus -Bra cal; BrachIonus urceolarIs - Bra urc; Cephalodella gIbba - Cep gIb; FIlInIa longIseta - FIl lon; FIlInIa termInalIs - FIl ter; Hexarthra mIra - Hex mIr; Keratella cochlearIs - Ker coc; Keratella quadrata - Ker qua; Keratella tropIca - Ker tro; Lecane luna - Lec lun; Lepadella -Lepa; Notholca acumInata - Not acu; Polyarthra dolIchoptera - Pol dol; Polyarthra vulgarIs -Pol vul; TrIchotrIa pocIllum - TrI poc; TrIchocerca marIna - TrI mar; TrIchotrIa tetractIs - TrI tet.
Chapter 3. Contrasting methane, sulfide, and nitrogen loading regimes in bioreactors shape microbial communities originating from methane-rich coastal sediment of the Stockholm Archipelago
<p>Supplementary Tables 1 to 7.</p> <p> </p>
Fig. 2 in Patterns In Community Structure Of Trawl Catches Along Coastal Area Of The South China Sea
Fig. 2. Relative number of fish species and total number of individuals of different eco-types collected bimonthly off Pattani and Narathiwat provinces between Nov.2005 and Jul.2007.
Data for: Development of a learning community focused on sea-level rise and coastal habitat change
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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.