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38 results for “microscale”
Data set for Microscale and nanoscale strain mapping techniques applied to creep of rocks
<p>Data set (figures and data involved in their making) for Quintanilla-Terminel, A., M. E. Zimmerman, B. Evans, and D.L. Kohlstedt, Microscale and nanoscale strain mapping techniques applied to creep of rocks, Solid Earth Discuss., https://doi.org/10.5194/se-2017-27, in review, 2017.</p>
Dataset for Aqueous habitats and carbon inputs shape the microscale geography and interaction ranges of soil bacteria
<p>This repository hosts data for the paper entitled: "<em>Aqueous habitats and carbon inputs shape the microscale geography and interaction ranges of soil bacteria</em>" by Samuel Bickel and Dani Or.</p> <p>The following files are provided:</p> <p><strong>Microcosm experiment:</strong></p> <p>- Fluorescence microscopy images of the microcosm experiment (*.tif)</p> <p>- Code used for extracting cell locations from images (image_analysis.py)</p> <p><strong>Global model estimates from the bacterial interactions heuristic model:</strong></p> <p>- Maps of estimated cell density and proportion of biomass associated with anoxic cell clusters (*.nc)</p> <p> </p>
Underlying data for "Microscale 3D Liver Bioreactor for In Vitro Hepatotoxicity Testing under Perfusion Conditions"
<p>Underlying data for the paper "Microscale 3D Liver Bioreactor for In Vitro Hepatotoxicity Testing under Perfusion Conditions" published in the journal <em>Bioengineering</em>.</p>
Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades
<p>A scout and zoom dataset including video-versions of the figures behind the following paper to where the references should be given:</p> <p>Mikkelsen, L.P. Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades, IOP Conf. Series: Materials Science and Engineering <strong>380</strong> (2018) 012006 , http://iopscience.iop.org/article/10.1088/1757-899X/388/1/012006.</p> <p>The SFoV data-set is saved as both a 3D and a 2D (zipped) tiff stack.</p>
Microscale termophoresis fluorescence time traces testing the interaction between human survivin and a peptide derived from hSgol2
<p>Microscale termophoresis fluorescence time traces testing the interaction between human survivin and a peptide derived from hSgol2 ( sequence: ECQVKKVNKMTSKSKKRKTS). Survivin was chemically labelled and titrated with different concentrations of hSgol2 peptide.</p>
Halimeda tuna (Bryopsidales, Ulvophyceae) calcification on the depth transect in the northern Adriatic Sea; carbonate production on the microscale of individual segments
<p>Raw data relevant to the submission of the manuscript: Halimeda tuna (Bryopsidales, Ulvophyceae) calcification on the depth transect in the northern Adriatic Sea; carbonate production on the microscale of individual segments.</p> <p>Table S1. Landmark and semilandmark coordinates of Halimeda tuna segment outlines.</p> <p>Table S2. External characteristics of H. tuna segments and associated abiotic factors.</p>
Data associated with "Decoding the hydrodynamic properties of microscale helical propellers from Brownian fluctuations"
<p>Deskewed data, thresholded data, and data analysis associated with https://arxiv.org/abs/2208.13854</p>
Scaling between macro- to microscale climatic data reveals strong phylogenetic inertia in niche evolution in plethodontid salamanders
<p>Macroclimatic niches are indirect and potentially inadequate predictors of the realized environmental conditions that many species experience. Consequently, analyses of niche evolution based on macroclimatic data alone may incompletely represent the evolutionary dynamics of species niches. Yet, understanding how an organisms' climatic (Grinnellian) niche responds to changing macroclimatic conditions is of vital importance for predicting their potential response to global change. In this study, we integrate microclimatic and macroclimatic data across 26 species of plethodontid salamanders to portray the relationship between microclimatic niche evolution in response to changing macroclimate. We demonstrate stronger phylogenetic signal in microclimatic niche variables than at the macroclimatic scale. Even so, we find that the microclimatic niche tracks climatic changes at the macroscale, but with a phylogenetic lag at million-year timescales. We hypothesize that behavioral tracking of the microclimatic niche over space and phenology generates the lag: salamanders preferentially select microclimates similar to their ancestral conditions rather than adapting with changes in physiology. We demonstrate that macroclimatic variables are weak predictors of niche evolution and that incorporating spatial scale into analyses of niche evolution is critical for predicting responses to climate change.</p>
Microscale braid geometry relaxation
<p>Yarn yarn collission of high resolution meshes, derived from graphs.</p>
data set of microscale strain for creep of Carrara marble
<p>Data set used for the construction of all microscale strain maps of creep of Carrara marble. The data is stored in Matlab structures (.mat files) and contains all markers coordinates as well as deformation tensors for a 9n point average (for more details see: Quintanilla-Terminel, A., and B. Evans (2016), Heterogeneity of inelastic strain during creep of Carrara marble: Microscale strain measurement technique, J. Geophys. Res. Solid Earth, 121, 5736–5760).</p>
Investigation of two-dimensional radio-frequency sheath properties using a microscale fluid model
<p>In previous work (Kohno H. and Myra J.R. 2023 Comput. Phys. Commun. 291 108841), we developed a numerical scheme based on a two-dimensional microscale radio-frequency (RF) sheath model with periodically curved wall boundaries. Here, we expand the capability of this scheme through modification of the boundary conditions (BCs) on the conducting walls, which allows the ion flow to turn back to the plasma at locations on the walls where the electromagnetic force on the ions is reversed from its usual direction. Numerical simulations are carried out to investigate the dependences of the surface-integrated admittances on the wall bump height, ion magnetization, ion mobility, and the magnetic field angle, and to visualize the sheath structures in several cases. One of the main results is the ion cyclotron admittance resonance observed under the condition of low ion mobility (high normalized frequency). It is shown that the amplitude of the resonance peak depends on the wall bump height and the ion velocity is reversed on the sides of the bump in an RF cycle for the resonance cases. Furthermore, the differences in the admittances between the one- and two-dimensional microscale models are assessed for the purpose of understanding non-locality of the sheath near the wall surface for the parameters considered in this study. This information will be essential for improving the sheath BC for macroscale calculations in the future.</p>
Nanoindentation and AFM Dataset for the Microscale Mechanical Property of Granites
<p>This dataset contains the raw results of nanoindentation testing and Atomic Force Microscopy (AFM) testing, which were used to determine the elastic property of rock-forming minerals and interphases in granites. The dataset is presented and utilized in the paper 'Determining Young's Modulus of Arbitrarily-shaped Granite Samples using Accurate Grain-based Modelling with Micro-RME'. Full details of the experimental setup, procedure, and imaging analysis can be found in the paper and supporting information.</p> <p>The results of nanoindentation testing for different rock-forming minerals in granites are contained within three files: nanoindentation_quartz, nanoindentation_feldspar and nanoindentation_biotite. In these files, the raw data during nanoindentation testing is shown with achieved parameters, including elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then used to determine the elastic modulus of rock-forming minerals. The achieved Young's modulus for quartz, feldspar and biotite are 96.81 GPa, 69.50 GPa and 46.41 GPa, respectively, for present granitic samples.</p> <p>The results of AFM testing for interphases between different rock-forming minerals in granites are contained within three files: AFM_quartz_feldspar_interphase, AFM_feldspar_biotite_interphase and AFM_quartz_biotite_interphase. In these files, the raw data of 196,608 indents during AFM testing is shown with obtained parameters, including elastic modulus and surface roughness. These results are then used to determine the geometry and elastic modulus of interphases. The achieved Young’s modulus of interphase is 24.48 GPa for present granitic samples. Additionally, the geometry of striped interphases between different rock-forming minerals is shown, which is complex with varying widths.</p>
Nanoindentation Dataset for the Microscale Mechanical Property of Granites
<p>This dataset contains the raw results of nanoindentation testing, which are used to determine the elastic and failure property of rock-forming minerals in granites, which then provides the input parameters for accurate grain-based modeling. The dataset is presented and utilized in the paper 'Thermally induced microcracks in granite and their effect on the macroscale mechanical behavior'. Full details of the experimental setup, procedure, and imaging analysis are able to be found in this paper.</p> <p>The results of nanoindentation testing of different rock-forming minerals by different indents are contained within six files: Berkovich_quartz, Berkovich_feldspar, Berkovich_biotite, Cube corner_quartz, Cube corner_feldspar and Cube corner_biotite. In these files, the raw data of nanoindentation testing includes elastic modulus, hardness, maximum load fore, maximum contact area, and contact depth. These results are then applied to calculate the elastic and failure properties of rock-forming minerals.</p>
Microscale heat stress observations in Ghent
<p>This dataset is part of the scientific paper: [Not yet published].</p> <p>The dataset contains observational data collected during a heat stress measurement campaign at the university campus Sterre in the urban fringe of Ghent during the summer of 2023.</p> <p>The campaign consists of a device-intercomparison measurement with all devices close to each other from 27 May to 1 June 2023 and the actual measurement campaign with the devices in various micro-environments during a heat wave from 9 June to 15 June 2023. The monitoring devices consist of weather stations (Campbell, HOBO, and VLINDER(02)) and consumer-grade portable devices (AT-HTS01, abbreviated with A and the corresponding device number).</p> <p>The measurement frequency varies from 2.5 s to 5 min, however, all data are aggregated to 15-minute averages. Basic quality control is conducted, during which inappropriate repetitive data and extreme outliers are removed. Gaps were introduced when the devices were known to malfunction, such as when they were covered for protection against rainfall, had fallen, or lacked electricity for active ventilation.</p> <p>An explanation of each parameter used in the datasets can be found below:</p> <ul> <li>datetime: The date and time in the format yyyy-mm-dd hh:mm:ss+02:00 (UTC+2, local time Belgian summer).</li> <li>Tap: Air temperature measured in a passively ventilated radiation shield (°C).</li> <li>Taa: Air temperature measured in an actively ventilated radiation shield (°C).</li> <li>Tg: Globe temperature (°C).</li> <li>RH: Relative humidity (%).</li> <li>V: Horizontal wind speed (m/s).</li> <li>SWR: Shortwave radiation (W/m2).</li> <li>P: Surface pressure (Pa).</li> <li>Tw_by_device: Wet bulb temperature given by the measurement device (°C).</li> <li>WBGT_by_device: Wet bulb globe temperature given by the measurement device (°C).</li> <li>x, y: Locationcoordinates (EPSG31370).</li> </ul>
Loading-dependent microscale measures control bulk properties in granular material: an experimental test of the Stress-Force-Fabric relation
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Data from: Microscale trait-environment associations in two closely-related South African shrubs
Open the record for dataset details and reuse information.
Scaling between macro- to microscale climatic data reveals strong phylogenetic inertia in niche evolution in plethodontid salamanders
Open the record for dataset details and reuse information.
Consolidation behavior of gas hydrate-bearing sand at microscales
<p>This supporting information includes four figures S1-4, providing the vertical-sectional X-ray CT images of the hydrate-bearing sediment at 0.05MPa, 1MPa, 2MPa and 3MPa in the effective confining pressure</p> <p> </p> <p>Figure S1 is uploaded with file name Figure S1. Detailed information includes vertical-sectional X-ray CT images of the hydrate-bearing sediment at 0.05 MPa.</p> <p>Figure S2 is uploaded with file name Figure S2. Detailed information includes vertical-sectional X-ray CT images of the hydrate-bearing sediment at 1 MPa.</p> <p>Figure S3 is uploaded with file name Figure S3. Detailed information includes vertical-sectional X-ray CT images of the hydrate-bearing sediment at 2 MPa.</p> <p>Figure S2 is uploaded with file name Figure S4. Detailed information includes vertical-sectional X-ray CT images of the hydrate-bearing sediment at 3 MPa.</p>
Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites
<p>Video and x-ray data-sets behind the publications</p> <p>Bangaru, A.K., Mikkelsen, L.P. and, Sørensen, B.F. Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites, <em>Composites Science and Technology</em>, <strong>226</strong>, 109502, <a href="https://doi.org/10.1016/j.compscitech.2022.109502">https://doi.org/10.1016/j.compscitech.2022.109502</a>, 2022</p> <p>Videos: </p> <ul> <li>Figure 8: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig08_CrackBranching_v1.mpg">Fig08_CrackBranching_v1.mpg</a>, <a href="https://youtu.be/rrp8Ax1er5I">Youtube-link</a></li> <li>Figure 10a: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_a_MatrixPenetration.mpg">Fig10_a_MatrixPenetration.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_a_MatrixPenetration.mpg/0_0ypbfkex">Video-link</a></li> <li>Figure 10b: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_b_MatrixPenetration_HighResolution.mpg">Fig10_b_MatrixPenetration_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_b_MatrixPenetration_HighResolution/0_1bexfv16">Video-link</a></li> <li>Figure 10c: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_c_CrackTwisting_HighResolution.mpg">Fig10_c_CrackTwisting_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_c_CrackTwisting_HighResolution/0_yphlldlh">Video-link</a></li> <li>Figure 14: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig14_CrackPenetration_HighResolution.mpg">Fig14_CrackPenetration_HighResolution.mpg</a>, <a href="https://youtu.be/MO0VBdyYlAw">Youtube-link</a></li> <li>Figure 15: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig15_CrackDeflection_HighResolution.mpg">Fig15_CrackDeflection_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig15_CrackDeflection_HighResolution/0_cqw7xgyg">Video-link</a></li> </ul> <p>Scan data:</p> <ul> <li>Fig08_SpecimenS1_DataSet.txm: Data behind figure 8</li> <li>Fig10_a_SpecimenS2_DataSet_LowResolution_Stitch22_FoV6.5.txm: Data behind figure 10a</li> <li>Fig10_b_c_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figures 10b, 10c, 11, and 13</li> <li>Fig14_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figure 14</li> <li>Fig15_SpecimenS3_DataSet_HIghResolution_FoV1.5.txm: Data behind figure 15</li> </ul> <p> </p> <p> </p>
Microscale Investigation of the Mechanical and Seepage Characteristics of Hydrate-bearing Sands by Computed Tomography
<p>This supporting information includes four movies S1-S4, providing animations of hydrate decomposition process and shear deformations in the main article.</p> <p> </p> <p>Movie S1 is uploaded with file name Movie S1. gif. Detailed information includes vertical-sectional view of a specimen during the decomposition process.</p> <p>Movie S2 is uploaded with file name Movie S2. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-1 specimen during shear deformation.</p> <p>Movie S3 is uploaded with file name Movie S3. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-2 specimen during shear deformation.</p> <p>Movie S4 is uploaded with file name Movie S5. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-3specimen during shear deformation.</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.