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1,084 results for “substrate”
Data from: Testing multiple substrates for terrestrial biodiversity monitoring using environmental DNA (eDNA) metabarcoding
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Why does the metabolic cost of walking increase on compliant substrates?
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Data from: Reverse plasticity underlies rapid evolution by clonal selection within populations of fibroblasts propagated on a novel soft substrate
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Data from: Evidence for morph-specific substrate choice in a green-brown polymorphic grasshopper
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Mantidfly larvae use substrate-borne cues to locate and distinguish different sexes and life stages of potential spider hosts
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Data and code from: Life under leaves: Substrate-borne vibrations provide a window into the behavior and ecology of two miniaturized geckos
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Data from: Human walking biomechanics on sand substrates of varying foot sinking depth
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Data for: Body size and substrate use affect ventral, but not dorsal, brightness evolution in lizards
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Data from: eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection
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Data from: Tissue-specific O-GlcNAcylation profiling identifies substrates in translational machinery in the Drosophila mushroom body contributing to olfactory learning
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Tsetse flies (Glossina m. morsitans) choose birthing sites guided by substrate cues with no evidence for a role of pheromones
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Twisted epitaxy of gold nanodiscs grown between twisted substrate layers of molybdenum disulfide
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SONGS Mitigation Monitoring: Experimental Reef Survey - Benthic Algae, Invertebrate, and Substrate Cover
These data describe annual estimates of the percent cover of benthic macroalgae, sessile macroinvertebrates, and substrate types at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). Data were collected from 2000 to 2004 as part of the experimental phase of the San Onofre Nuclear Generating Station (SONGS) kelp reef mitigation program. In the summer of each year, divers identified and recorded species of algae and sessile macroinvertebrates, and substrate types under twenty uniformly placed points within 1 m2 quadrats that were uniformly distributed along fixed transects at each reef.
Microbial decomposition of 13-C labeled substrates across a gradient of root density, Marcell Experimental Forest, Minnesota, USA, 2014
Roots influence microbial decomposition of organic matter. We investigated how roots influence decomposition of a simple and complex carbon (C) substrate in mesocosms in a field experiment. Mesocosms were PVC lined with mesh that varied in size, which manipulated root access to soil and produced a gradient of root density. Mesocosms either received an injection of water (control), 13C labeled starch or 13C labeled leaf material. We collected gas samples from the mesocosms and analyzed 13C-CO2, microbial biomass, and enzyme activity. Our empirical data set was compared to a rhizosphere simulation model, CORPSE, to evaluate two alternative model hypotheses: 1) microbes are generalist decomposers, and 2) microbes have different affinities for substrates and may be influenced by roots differently. Our field experiment was conducted in 2014 at Marcell Experimental Forest, MN, USA. We installed mesocosms in May and after six weeks we injected water or substrates into soil. Gas samples were collected 1, 2, 3, 4, 5, 10, 20, and 40 days after injections. Mesocosms that received the starch substrate were harvested from the field 5 days after injections and those receiving leaf material were harvested 40 days after injections. Half of the water-control mesocosm were harvested 5 and 40 days after injections to pair with the substrate mesocosm harvests. Our results suggested decomposition of leaf material was more sensitive to root density than starch. The CORPSE model simulations with microbe-substrate affinity (hypothesis 2) showed a similar pattern to the field experiment. One way that roots influence microbial decomposition is through alleviating C limitation via exudates. Overall, our results suggest that microbial decomposition of starch is not a C limited process and that root density does not alter the rate of starch decomposition. On the other hand, decomposition of more complex substrates such as leaf tissue, which contains cellulose, hemi cellulose, and lignin, may be
Substrate and cover types on the stream bottom determined by point transects for streams near the Toolik Field Station, Alaska, for 2010.
The Changing Seasonality of Arctic Stream Systems (CSASN) was active from 2010 to 2012. The CSASN goal was to quantify the relative influences of through flow, lateral inputs, and hyporheic regeneration on the seasonal fluxes C, N, and P in an arctic river network, and to determine how these influences might shift under seasonal conditions that are likely to be substantially different in the future. Point transects were done throughout the sampling season to determine different substrate and cover types on the stream bottom.
QM/MM MD simulations of the ES complexes of SARS-CoV-2 main protease and oligopeptide substrates
<p>qmdcd.7z : QM/MM MD trajectories for all considered systems in dcd format for QM parts without link atoms (QMpart_nolink.pdb)</p> <p>frames.7z : QM parts of the MD frames selected for the electron density analysis.</p> <p> </p> <p> </p>
DATA & CODE for "Substrate-dependent fish have shifted less in distribution under climate change"
<p>Authors: Sarah M. Roberts*<sup>1</sup>, Andre M. Boustany<sup>2</sup>, Patrick N. Halpin<sup>1</sup></p> <p><strong>Author affiliations: </strong></p> <p>*<sup>1</sup>Marine Geospatial Ecology Lab, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC 27708, US</p> <p><sup>2 </sup>Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940, USA</p> <p>This dataset and code run the necessary methods for the manuscript titled: "<strong>Substrate-dependent fish have shifted less in distribution under climate change. </strong><strong>Substrate-dependent fish have shifted less in distribution under climate change" </strong>published in Nature Communications Biology. In order to run the code, you need to request data from <a href="https://oceanadapt.rutgers.edu/">https://oceanadapt.rutgers.edu/</a>. The download is free, I just don't have permission to publish their data. Software needed is Rstudio and R. This is the updated and current version. </p>
CO as a Substrate and Inhibitor of H+ Reduction for Mo-, V-, and Fe-Nitrogenase Isozymes
<p>Alignment of α subunits of nitrogenase isozymes. Shown is<br> an alignment of α subunits of Mo-nitrogenase (PDB ID: 3U7Q), V-nitrogenase<br> (PDB ID: 5N6Y), and Fe-nitrogenase (sequence threaded<br> on to V-nitrogenase PDB ID: 5N6Y using Swiss-Model) highlighting<br> amino acid residues in the cofactor environment. The starting perspective is<br> looking down on the Fe2, 3, 6, 7 face of FeMoco and FeVco. S is in<br> yellow, Fe in orange, Mo in magenta, and V in pink with the homocitrate<br> to the right in grey. Side chains that are 100% conserved among the<br> isozymes are shown in green, whereas side chains where there is<br> variation in the residue in at least one isozyme are shown in red. The residue numbering refers<br> to Mo-nitrogenase. ChimeraX version 1.0 file.</p>
Raw data for the publication "Effect of graphene substrate type on formation of Bi2Se3 nanoplates", Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1
<p>This dataset contains the raw AFM and SEM measurement data used for the study of stages of formation of Bi2Se3 nanoplates on different substrates and for the statistical analysis of sizes and thicknesses of the nanoplates. The results are published in Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1</p>
Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.
<p>Datasets of recordings of electrical activity of substrates colonised by oyster fungi P. ostreatus and P. djamor.</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.