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1,084 results for “substrate”
FIGURE 2 in Taxonomy of calcareous sponges (Porifera, Calcarea) sampled on artificial substrates of a recreational marina in the Tropical Northeastern Brazilian coast
FIGURE 2. Leucandra serrata (A, B, C, D, F: UFBA 4525-POR; E: UFBA 4658-POR). A—Preserved specimen with oscular membrane and fringe of trichoxeas (arrowhead); B—Oscular fringe; C—Longitudinal section with a general view of the skeleton (cx—cortex); D—Tangential section showing the cortical skeleton with triactines; E—Cross-section of a canal with apical actines of tetractines; F—Longitudinal section showing the atrium (at) with apical actines of tetractines (arrowhead).
FIGURE 1 in Taxonomy of calcareous sponges (Porifera, Calcarea) sampled on artificial substrates of a recreational marina in the Tropical Northeastern Brazilian coast
FIGURE 1. Map showing Brazil in South America (A) and the studied area (black circle in B) where the specimens were sampled. TSB—Todos os Santos Bay.
Substrate kinetics of nitrogen cycling processes in the Chesapeake Bay
<p>This dataset includes substrate kinetics of ammonia oxidation, denitrification and anammox measured in the Chesapeake Bay, United States. The results are published in the paper below. </p> <p>Tang, W., Fortin, S.G., Intrator, N., Lee, J.A., Kunes, M.A., Jayakumar, A. and Ward, B.B. (2024), Determination of site-specific nitrogen cycle reaction kinetics allows accurate simulation of in situ nitrogen transformation rates in a large North American estuary. Limnol Oceanogr. <a href="https://doi.org/10.1002/lno.12628">https://doi.org/10.1002/lno.12628</a></p> <p> </p>
Input data for predicted substrate types on the Norwegian continental margin
<p>Input data relating to R workflow for predicting substrate types on the Norwegian continental margin (https://github.com/diesing-ngu/GrainSizeReg). The following files are included:</p><p><strong>AoI_Harris_mod </strong>- Polygon shapefile delimiting the area of interest</p><p><strong>GrainSize_4km_MaxCombArea_folk8_point_20230628</strong> - Point shapefile of the response data (substrate type). Note that these data points were derived from mapped products and are not sample points as such. </p><p><strong>predictors_ngb.tif </strong>- Multi-band georeferenced TIFF-file of predictor variables</p><p><strong>predictors_description</strong>.txt - Information on variables stored in predictor_ngb.tif including units, statistics, time period and sources.</p>
Predicted substrate types on the Norwegian continental margin
<p>Output data relating to R workflow for predicting substrate types on the Norwegian continental margin (https://github.com/diesing-ngu/GrainSizeReg). The following files are included:</p><p><strong>GrainSizeReg_folk8_classes_2023-06-28.tif </strong>- Georeferenced Tiff-file of the predicted substrate classes</p><p><strong>GrainSizeReg_folk8_probabilities_2023-06-28.tif </strong>- Georeferenced Tiff-file of the prediction probabilities of the predicted substrate classes</p><p><strong>GrainSizeReg_folk8_max_probabilities_2023-06-28.tif </strong>- Georeferenced Tiff-file of the maximum probabilities, i.e., the probability of the class that was mapped. Can be used as an indicator of map confidence.</p><p><strong>GrainSizeReg_folk8_AOA_2023-06-28.tif </strong>- Georeferenced Tiff-file of the area of applicability of the model <a href="https://doi.org/10.1111/2041-210X.13650">(Meyer & Pebesma, 2021)</a></p><p><strong>GrainSizeReg_folk8_AOA_2023-06-28.shp</strong> - Same as above but as polygon shapefile</p>
Data from: Anthropogenic nesting substrates increase parental fitness in a Neotropical songbird, the Pale-breasted Thrush (Turdus leucomelas)
<p>The failure of breeding attempts is a major hindrance to bird reproduction, making nest site choice under strong selective pressure. Urbanization may offer lower risk of nest predation to certain bird species, but the impact of using anthropogenic structures as nesting sites on parental fitness is seldom studied. We studied the effect of anthropogenic substrates and brood parasitism by the Shiny Cowbird (<em>Molothrus bonariensis</em>) on the nest success of a Neotropical songbird, the Pale-breasted Thrush (<em>Turdus leucomelas</em>). We monitored 263 nesting attempts between 2017 and 2020 to estimate daily survival rate (DSR), which represents the probability of a given nest survive until the next day. DSR was modelled as a response variable in function of substrate type (plants as "natural" or human buildings as "artificial") and brood parasitism as fixed factors, using as covariates year, a linear and a quadratic seasonal trends. Additionally, we tested the effect of these same explanatory variables on the number of fledglings per nest using a generalized linear mixed-effects model. Most nests (78.7%) were placed in artificial substrates and apparent nest success (i.e. the percentage of nesting attempts that produced at least one thrush fledgling) was higher in artificial (50.2%) than in natural substrates (37.5%). DSR was higher for nests in artificial than in natural substrates regardless of cowbird parasitism, whereas the number of fledglings per nest was higher both in artificial substrates and for nests without cowbird parasitism. We highlight that nesting in buildings significantly increases parental fitness in Pale-breasted Thrushes, which may favor their settlement in cities and potentially drive the evolution of this breeding behavior in urban birds.</p>
Data from: Wide gape in the Ordovician brachiopod Rafinesquina explains how unattached filter-feeding strophomenoids thrived on muddy substrates
<p>Strophomenoid brachiopods had thin, concavo-convex shells, were ubiquitous colonisers of Paleozoic muddy seafloors, and are hypothesised to have filter-fed in a concave upward orientation. This orientation would elevate their line of commissure out of potentially lethal lophophore-clogging mud. The paradox is that epibiont distributions on strophomenoids support a convex-upward life position, as do studies of strophomenoid stability and trace fossils formed by strophomenoid sediment-clearing. A premise of the concave-upward orientation hypothesis is a narrow gape, which causes narrow, high velocity inhalant currents, leaving strophomenoids vulnerable to sediment entrainment. Herein we investigate the gape angle of Rafinesquina using serial thin sections and peels, silicified specimens, computer modelling, SEM analysis, X-ray microCT, and 3-D printing. Hinge line structure suggests that, conservatively, Rafinesquina could gape 40–45°. Such a gape occurred when diductor muscle contraction could not cause any further rotation, hinge teeth and crenulations were disengaged, and interareas interlocked. In contrast, when closed, hinge teeth were locked in hinge sockets. This wide gape eliminates constraints on feeding orientation. In either convex-up or concave-up orientation, Rafinesquina could feed with slow, diffuse inhalant currents incapable of disturbing sediment, and could snap valves shut to forcefully expel enough water to clear sediment from the mantle cavity, explaining moat-shaped trace fossils associated with shells. Our findings demonstrate that Rafinesquina gaped at an angle approximately equal to the angle between the two interareas when the valves are closed. Our analyses also hint that other strophomenoids with similar interarea angles lived with their shells widely agape.</p>
Data from: Light and substrate composition control root exudation rates at the initial stages of soilless lettuce cultivation
<p>This archive contains raw and processed research data for a publication "<em><strong>Light and substrate composition control root exudation rates at the initial stages of soilles lettuce cultivation</strong></em>" by de Haas et al. The sample identifiers are consistent with the ones used in the publication.</p>
Experimental data for "Physical and chemical properties and degradation of MAPbBr3 films on transparent substrates"
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Data set for "Nucleation Mechanisms of Electrodeposited Magnesium on Metal Substrates"
<p>This is the experimental raw data set associated with the following publication: M. Löw, F. Maroni, S. Zaubitzer, S. Dongmo, M. Marinaro, <em><span><span>Nucleation Mechanisms of Electrodeposited Magnesium on</span> <span>Metal Substrates, Batteries & Supercaps <span>2024</span>, e202400250. DOI: </span></span></em><a href="https://doi.org/10.1002/batt.202400250">10.1002/batt.202400250</a></p> <p> </p>
Spatial regulation of substrate adhesion directs fibroblast morphotype and phenotype
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Neural Substrates for Early Data Reduction in Fast Vision: A Psychophysical Investigation
<p><span>The name of each ‘.mat’ file reports the subject code, the condition (Baseline or Flicker), and the task (Sketch, Motion, or Orientation).</span></p> <p><strong><span>For Motion and Orientation tasks:</span></strong></p> <p><span>The matrices contain one row per trial and four columns:</span></p> <p>o <strong>Column 1:</strong> trial number</p> <p>o <strong>Column 2:</strong> tested contrast</p> <p><span>o </span><strong><span>Column 3:</span></strong><span> response (1 = left moving/oriented gabor, 2 = right moving/oriented gabor)</span></p> <p><span>o </span><strong><span>Column 4:</span></strong><span> correct response (1 = correct, 0 = wrong).</span></p> <p><strong><span>For the Sketch task:</span></strong></p> <p><span>The matrices contain one row per trial and seven columns:</span></p> <p>o <strong>Column 1:</strong> trial number</p> <p>o <strong>Column 2:</strong> tested contrast</p> <p>o <strong>Column 3:</strong> sketch number</p> <p>o <strong>Column 4:</strong> target image number</p> <p>o <strong>Column 5:</strong> distractor image number</p> <p><span>o </span><strong><span>Column 6:</span></strong><span> response (1 = left image, 2 = right image)</span></p> <p><span>o </span><strong><span>Column 7:</span></strong><span> correct response (1 = correct, 0 = wrong).</span></p> <p><span> </span></p>
Dataset Heat treatment of swill as BSF larvae rearing substrate
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Data Supplement for: "Gradient dynamics model for drops of volatile liquid on a porous substrate"
<p>This dataset contains supplementary data for the following preprint:</p> <p>Hartmann, S. & Thiele, U.<br>Gradient dynamics model for drops of volatile liquid on a porous substrate.<br>(submitted 2024)</p> <p>We provide the data and sources necessary to generate all figures in the paper.</p> <p>The figures are built either with LaTeX/TikZ (Figure 1) or Python/Matplotlib (all other figures).<br>Each subfolder contains the full source code and data for one figure each.</p>
Structures in pdb format for the paper "Investigating the substrate oxidation mechanism in lytic polysaccharide monooxygenase: H2O2- versus O2-activation"
<p>QM/MM optimized structures for all intermediates and transition states (QM regions and full enzymes).</p>
Ferrimagnetic Tb/Co multilayers as substrates for magnetophoresis
<p>The data that was used to produce the plots/images related to magnetophoresis investigations in TbCo multilayers patterned magnetically using focused beam of 30 keV Ga ions (FIB patterning).</p> <p>This work was supported by National Science Centre Poland under OPUS funding Grant No. 2020/39/B/ST5/01915 at the Institute of Molecular Physics of the Polish Academy of Sciences.</p>
Effect of substrate temperature on the optical and electrical properties of nitrogen-doped NiO thin films
<p>This file contains 2 figures. </p> <p>Fig.S1 Mott–Schottky plots of ITO coated glass.</p> <p>Fig.S2 Room temperature PL spectra of N-doped NiO thin films deposited at room temperature substrate temperature.</p>
FIGURE 2. Xiuguozhangia macrospora. a. Substrate. b. Conidia and conidiophores under stereomicroscope. c in Xiuguozhangia macrospora (Pezizomycotina: Ascomycota)-a new species of bambusicolous fungi from India
FIGURE 2. Xiuguozhangia macrospora. a. Substrate. b. Conidia and conidiophores under stereomicroscope. c. Association of fungus with lichen. d. Conidiophores with lageniform proliferations. e. Holoblastic conidial ontogeny. f. Conidia. g. Dictyoseptate conidium. Scale bars: c = 100 μm; d, f = 20 μm; e, g = 10 μm.
Molecular dynamics simulation data of the manuscript "KnowVolution of an efficient polyamidase through molecular dynamics simulations of incrementally docked oligomeric substrates"
<p>This repository provides the simulation data as well as the input and parameters files to reproduce our findings.</p> <p><strong>Acknowledgments</strong></p> <p>The authors gratefully acknowledge the computing time provided by RWTH Aachen University. Computations were performed with computing resources granted by RWTH Aachen University under project rwth1584.</p>
FIGURES 288–297. Figs. 288–291. Surirella fastuosa var. cuneata. Figs. 292–294. S. fastuosa. Fig. 295. S. fluminensis. Figs. 296–297 in Diatoms (Bacillariophyta) From Artificial Substrates And Sediments In The Caribbean Sea Off Yucatan, Mexico
FIGURES 288–297. Figs. 288–291. Surirella fastuosa var. cuneata. Figs. 292–294. S. fastuosa. Fig. 295. S. fluminensis. Figs. 296–297. Coronia samoensis. Scale bar = 10 μm.
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.