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73 results for “shallow lake”
Supplementary material 4 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Supplementary Alignment 2
Supplementary material 2 from: Ács É, Bíró T, Boros E, Dobosy P, Duleba M, Földi A, Kiss KT, Levkov Z, Orgoványi P, Szén OP, Trábert Z, Vadkerti E, Grigorszky I (2023) Halamphora taxa in Hungarian soda pans and shallow soda lakes detected via metabarcoding and microscopic analyses. Metabarcoding and Metagenomics 7: e111679. https://doi.org/10.3897/mbmg.7.111679
Pairwise p-distance values and number of differences
Hydrodynamic-driven changes in the source and composition of sedimentary organic matter via grain size distribution in shallow lakes
<p>Sediment organic matter (SOM) differs in composition and function in different size fractions in relation to material and energy flows. The hydrodynamic effects on a lake's autochthonous (terrestrial plants) and allochthonous (microalgae, aquatic plants and bacteria) inputs and transformation, and the components of SOM are still far from clear. To elucidate the SOM composition as driven by the hydrodynamic conditions associated with sedimentary grain size, we performed an ecosystem-level investigation in the shallow lake Izunuma, Japan, measuring source-specific fatty acids and the current velocity. High organic matter concentrations occurred in the finer fractions. Bacteria were dominant in the <32 µm fraction, microalgae were mainly present in the <32 and 63-125 µm fractions, aquatic plants appeared to be evenly distributed in all size fractions and terrestrial plants mainly comprised the >125 µm fraction. Although the linear correlation between current velocity and sedimentary total organic carbon (TOC) was not statistically significant, the relationship between current velocity frequency and sedimentary TOC was significant. The highest Pearson coefficient occurred at a current velocity of 6 cm/s in sand. The relationship between allochthonous inputs and current velocity frequency was similar to that of TOC. Autochthonous organics had the greatest coefficient with two peaks at 4.5 and 8 cm/s. The threshold for sand resuspension varied with organic sources, while this phenomenon was absent in cohesive mud. Hydrodynamic forces affected the grain size of sediments and drove the gradient distribution of the SOM sources, which should be considered when managing freshwater lakes in light of future climate change.</p>
Fig. 4 in Spatial patterns of zooplanktivore Chirostoma species (Atherinopsidae) during water-level fluctuation in the shallow tropical Lake Chapala, Mexico: seasonal and interannual analysis
Fig. 4. GAM results for May of species correlation influence on fish density. a: effect of Chirostoma jordani on C. consocium; b: effect of C. jordani on C. labarcae; c: effect of C. labarcae on C. consocium. Circles represent the residuals. Spline fit (solid line) is bound by 95% confidence intervals (dotted lines).
Dataset article "Methane emissions may counteract the carbon fixation capacity for climate change mitigation by Mediterranean inland freshwater shallow lakes and ponds"
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Dataset article "Ecological status and type of alteration determine the C-balance and climate change mitigation capacity of Mediterranean inland brackish and saline shallow lakes"
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Fig. 4 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 4. Total frequency distribution of the scale radius (Rn) and decomposition of first ring measurements (shaded columns) in order to discriminate between the fish from summer and from spring groups (a). Decomposition of polymodal frequency distribution of ring measures from summer group (b) and spring group (c).
Fig. 2 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 2. Average daily water temperatures registered at Yalca Lake during an annual cycle (a), and frequency distribution of the average daily temperatures (b).
Multitrophic richness enhances ecosystem multifunctionality of tropical shallow lakes
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Hydrodynamic-driven changes in the source and composition of sedimentary organic matter via grain size distribution in shallow lakes
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Dataset for paper ''Observation and parameterization of bottom shear stress and sediment resuspension in a large shallow lake''
<p>The dataset contains Model data (2008, 2009) from AEM3D, processed bottom shear stress data, and raw current, turbidity, wind data collected in 2008 and 2009. </p>
Climate warming and nutrient enrichment jointly affect microbial functional potentials important to nutrient cycling in shallow-lake mesocosms
GEO Series GSE155582. Eukaryota; Viruses; uncultured soil microorganism; Bacteria; Archaea. 16 samples. Type: Other.
Data from: Methane cycling in shallow lakes
<p>Data from chapters 3, 5, and 7 of the PhD dissertation "Drivers of methane emissions and methane oxidation in shallow lakes".</p>
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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.