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ShareScore release 0.9.0
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55 results for “Deep lakes”
Supporting data for: The setup and relaxation of spring upwelling in a deep, rotationally influenced lake
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Dataset: A multi-site, year-round turbulence microstructure atlas for the deep perialpine Lake Garda
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Data from: Conquest of the deep, old and cold: an exceptional limpet radiation in Lake Baikal
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DEEP Lakes Grant Program water quality assessment, CT, 1937-2006
“The water quality of lakes in Connecticut has historically been assessed by the CTDEP using best professional judgment as a follow-up to citizen complaints. The CTDEP possesses a number of lake technical studies (dredging feasibility studies, drainage studies, and diagnostic/feasibility studies) that were completed by local municipalities and lake associations using funding provided through the Connecticut Lakes Grant Program. Many of these reports contain data regarding lake water quality and limnological and watershed characteristics."
DEEP Bureau of Water Protection and Land Reuse Lake Surveys, 1997-2009
This database includes a survey of Connecticut lakes and reservoirs from 1997 to 2009. Parameters include water chemistry (e.g., N, P, C), heavy metals, herbicides, pH, alkalinity, TSS, Secchi depths, etc.
DEEP Bureau of Water Protection and Land Reuse Lake Surveys, transparency/Secchi depth, 2000-2007
This database includes a survey of Connecticut lakes and reservoirs from 2000 to 2007 for transparency/Secchi depth.
FIGURE 2 in Endemic Lake Baikal sponges from deep water. 2: Taxonomy and Bathymetric Distribution
FIGURE 2. Vertical distribution of Lubomirskiidae in the Lake Baikal at depths of more than 120 m.
Fig. 2 in Dinophyta Characterise Nitrogen Scarcity More Strongly than Cyanobacteria in Moderately Deep Lakes
Fig. 2. PCA of lakes ordinated in relation to mean growth season composition of phytoplankton, expressed as proportion of biovolume. a – phytoplankton divisions, λ1 = 0.377, λ2 = 0.237; b – phytoplankton species, λ1 = 0.418, λ2 = 0.198, key to species shown in Table 4. Nutrient ratios are TN:TP ratios and symbols are shaded to show mean TN:TP ratios at each site.
A brain and a head for a different habitat: size variation in four morphs of Arctic charr (Salvelinus alpinus (L.)) in a deep oligotrophic lake
<p>Adaptive radiation is the diversification of species to different ecological niches and has repeatedly occurred in different salmonid fish of postglacial lakes. In Lake Tinnsjøen, one of the largest and deepest lakes in Norway, the salmonid fish, Arctic charr (<i>Salvelinus alpinus </i>(L.)), has likely radiated within 9700 years after deglaciation into ecologically and genetically segregated Piscivore, Planktivore, Dwarf and Abyssal morphs in the pelagial, littoral, shallow-moderate profundal and deep-profundal habitats. We compared trait variation in the head shape, the eye and olfactory organs, as well as the volumes of five brain regions of these four Arctic charr morphs. We hypothesised that specific habitat characteristics have promoted divergent body, head and brain sizes related to utilized depth differing in environmental constraints (e.g. light, oxygen, pressure, temperature and food quality). The most important ecomorphological variables differentiating morphs were body length, habitat, optic tectum and eye area. The Abyssal morph living in the deepest areas of the lake had the smallest brain region volumes, head and eye size. Comparing the olfactory bulb with the optic tectum in size, it was larger in the Abyssal morph than in the Piscivore morph. The Piscivore and Planktivore morphs that use more illuminated habitats have the largest optic tectum volume, followed by the Dwarf. The observed differences in body size and sensory capacities in terms of vision and olfaction in shallow and deep-water morphs likely relates to foraging and mating habitats in Lake Tinnsjøen. Further seasonal and experimental studies of brain volume in polymorphic species are needed to test the role of plasticity and adaptive evolution behind the observed differences.</p>
A brain and a head for a different habitat: size variation in four morphs of Arctic charr (Salvelinus alpinus (L.)) in a deep oligotrophic lake
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Vertical distribution and seasonal dynamics of planktonic cyanobacteria communities in a water column of deep mesotrophic Lake Geneva
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Figure 10 in An overview on the freshwater sponge fauna (Demospongiae: Spongillida) of New Zealand and New Caledonia with new insights into Heterorotula from deep thermal vents of the Lake Taupo
Figure 10. Heterorotula kakauensis. (A–F) The sponge population settled in the Horomatangi Geothermal System of Lake Taupo, New Zealand at 125–180 m depth (by the submarine Jago).
Figure 3 in An overview on the freshwater sponge fauna (Demospongiae: Spongillida) of New Zealand and New Caledonia with new insights into Heterorotula from deep thermal vents of the Lake Taupo
Figure 3. Gemmuloscleres with divergent diagnostic morphotraits. Comparison of type specimens of the type species of the genera Ephydatia (A–B, E. fluviatilis), Heterorotula (C–E, H. capewelli), Pachyrotula (F–G, P. raceki) and Oncosclera (H–J, O. jewelli).
Figure 8 in An overview on the freshwater sponge fauna (Demospongiae: Spongillida) of New Zealand and New Caledonia with new insights into Heterorotula from deep thermal vents of the Lake Taupo
Figure 8. Morphotraits of Spongillida gen. sp. (cf. Pottsiela; BMNH 23.10.7.1 partim; FW-POR 429). See Figure 6. Microphotographs of gemmules and spicular complement morphotraits. (A) gemmular theca with outer layer armed by spiny oxeas/strongyles/strongyloxeas as tangential gemmuloscleres irregularly arranged. (B) gemmules sharing the outer layer. (C) dense gemmuloscleres tangentially arranged at the outer surface. (D) gemmular theca (cross-section) with multilayered gemmuloscleres (pneumatic layer is absent). (E–G) smooth oxeas as skeletal megascleres (A–D, SEM; E–G, LM).
Figure 5 in An overview on the freshwater sponge fauna (Demospongiae: Spongillida) of New Zealand and New Caledonia with new insights into Heterorotula from deep thermal vents of the Lake Taupo
Figure 5. (A), Morphotraits of Heterorotula kakahuensis (as Ephydatia kakahuensis, New Zealand) vs Ephydatia fluviatilis (eastern Europe, original plate after Traxler 1896). E. kakahuensis 1–2, gemmule and detail of foramen, 5–8, long birotules as gemmuloscleres, 9–11, spiny oxeas as megascleres. E. fluviatilis 3–4, gemmule and detail of foramen, 12–14, short birotules as gemmuloscleres. Not to scale. (B) Ephydatia kakahuensis (modified after Schröder 1935). (Ba) megascleres. (Bb) gemmuloscleres (lateral view). (Bc) gemmuloscleres (top view); the gemmuloscleres are very similar to those of several other species of Ephydatia. Not to scale.
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.