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2,214 results for “Walls”
Herbarium specimen image of Berchemia floribunda (Wall.) Brongn., part of the collection of Royal Botanic Garden Edinburgh
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.<br>- Two PNG files containing segmented image overlays of the scanned herbarium sheet. The _all extension indicates that all labels, color charts and pieces of text have received a different color against a black background color. The _sel extension indicates that these elements are white if they're barcode labels, yellow if they're color charts and red if they're anything else.
Herbarium specimen image of Elaeocarpus robustus Wall., part of the collection of Meise Botanic Garden
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Ehretia macrophylla Wall., part of the collection of Royal Botanic Garden Edinburgh
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Herbarium specimen image of Ardisia eugeniifolia Wall. ex A.DC., part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
WALOWA (WAve LOads on WAlls) - Large-scale Experiments in the Delta Flume on Overtopping Wave Loads on Vertical Walls
<p>Coasts of low lying countries are often comprised of a gentle foreshore and shallow waters, followed by a dike and a promenade. At the end of the promenade buildings or storm walls are constructed. This setting makes it possible for waves to overtop the dike and impact on the storm wall or building. Especially during storm season the overtopping waves induce large loads on these structures. New scenarios for climate change and sea level rise make it worthwhile to invest in research regarding overtopping wave loads.</p> <p>Within the European project 'Wave Loads on Walls' (WaLoWa) model tests in the Delta flume (The Netherlands) were conducted. It is the aim to study overtopping wave loads on storm walls and buildings. The project is coordinated by Ghent University (Belgium), in cooperation with TU Delft (The Netherlands), RWTH Aachen (Germany), University of Bari, University of L'Aquila, University of Calabria and University of Florence (Italy) and Flanders Hydraulics Research (Belgium). The project is financed by a grant by Hydralab+ in the framework of the EC Horizon 2020 program.</p> <p>A model geometry comprised of a sandy beach, a sloping dike, promenade and wall structure was built into the Delta flume. The beach alone consists of 1000m³ sand material and was an essential part of the structure, to obtain the broken wave conditions similar to reality. Waves representing a storm with a 1000 year return period and an additional water level to account for sea level rise result in the tested superstorm conditions.</p> <p>Measurements of the water surface elevation were taken close to the paddle, along the mildly sloping foreshore and at the dike toe location by resistance type wave gauges mounted to the flume side wall. The bathymetry of the sandy foreshore was measured by a mechanical profiler before and after the test. The overtopping flow properties thickness and velocity were measured by resistance type wave gauges, ultra-sonic distance sensors, paddle wheels and an electro-magnetic current meter installed along the promenade. Finally, the impact forces and pressures on the wall were measured by compression load cells and pressure sensors respectively. The data-set was complemented by a number of synoptic measurements, such as laser scan profiles, GoPro images, High-speed camera images, Digital camera images. Due to its large storage size, these data are provided on request.</p>
WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information
<p><strong>Through-Wall Imaging based on WiFi Channel State Information</strong></p> <p>This repository contains the <strong>WiFiCam dataset</strong> for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: <a href="https://github.com/StrohmayerJ/wificam">https://github.com/StrohmayerJ/wificam</a></p> <p>The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach. </p> <p> </p> <p><strong>Dataset Structure</strong></p> <p>/wificam</p> <p>├── j3</p> <p> └── 320 <-- 320x240 resolution subset</p> <p> └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3</p> <p> └── csiComplex.npy <-- complex CSI sequence (cache)</p> <p> └── 92108.png <-- 320x240 RGB image</p> <p> └── 92112.png</p> <p> └── ...</p> <p> └── 640 <-- 640x480 resolution subset</p> <p> └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3</p> <p> └── csiComplex.npy <-- complex CSI sequence (cache)</p> <p> └── 154.png <-- 640x480 RGB image</p> <p> └── 155.png</p> <p> └── ...</p> <p>├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images</p> <p>├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images</p> <p> </p> <p><strong>Download and Use</strong><br>This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].</p> <p>[1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," <em>2024 IEEE International Conference on Image Processing (ICIP)</em>, Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775.</p> <p>BibTeX:</p> <pre>@INPROCEEDINGS{10647775, author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin}, booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, title={Through-Wall Imaging Based On WiFi Channel State Information}, year={2024}, volume={}, number={}, pages={4000-4006}, doi={10.1109/ICIP51287.2024.10647775}}</pre>
Development and analysis of entropy stable no-slip wall boundary conditions for the Eulerian model for viscous and heat conducting compressible flows
<p>The database used in the submission of "Development and analysis of entropy stable no-slip wall boundary conditions implementation of the Eulerian model for viscous and heat conducting compressible flows."</p> <p>Abstract: Nonlinear entropy stability analysis is used to derive entropy stable no-slip wall boundary conditions for the Eulerian model proposed by Svärd ( <em>Physica A: Statistical Mechanics and its Applications, 2018 </em>). and its spatial discretization based on entropy stable collocated discontinuous Galerkin operators with the summation-by-parts property for unstructured grids. A set of viscous test cases of increasing complexity are simulated using both the Eulerian and the classic compressible Navier–Stokes models. The numerical results obtained with the two models are compared, and differences and similarities are then highlighted.</p>
Supplementary material to article "Hygrothermal performance of a brick wall with interior insulation in cold climate: vapour open vs vapour tight approach"
<p>Supplementary material to article "Hygrothermal performance of a brick wall with interior insulation in cold climate: vapour open vs vapour tight approach"</p>
Parametric Study of the Radiative Load Distribution on the EU-DEMO First Wall Due to SPI-Mitigated Disruptions and in Steady-State (dataset)
<p>Database for reproducing the calculations presented in the publication "Parametric Study of the Radiative Load Distribution on the EU-DEMO First Wall Due to SPI-Mitigated Disruptions", submitted to <em>Fusion Engineering and Design</em>.</p> <p>Work carried out within the framework of the EUROfusion Consortium.</p>
City Walls 2021
<p>Georeferenced areas of five thousand city walls from five thousand years about 20 hectares and greater. Ready for GIS-import in two parts. I would prefer the free QGIS. The area-file is displayable after double-clicking via installed Google-Earth. The readme-section contains some additional information.</p>
Data and scripts for reproducing "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer"
<p>This is the accompanying data and Python scripts to reproduce the figures in "Optimisation and Analysis of Streamwise-Varying Wall-Normal Blowing in a Turbulent Boundary Layer", submitted to Flow, Turbulence and Combustion.</p>
DocumeNDT stone masonry walls geometry: Photogrammetric models dataset
<p>This repository contains detailed geometric data from six stone masonry walls constructed for an experimental campaign carried out at the laboratory of the Institute for Physical and Information Technologies (ITEFI), from the Spanish National Research Council (CSIC).</p> <p>The data set is structured in 2 levels of folders:<br> - At first level, the 6 folders correspond to the 6 tested stone masonry walls (Wall 1-6).<br> - At second level, for each wall, there are two folders. The first folder contains the photogrammetric model of each wall, e.g., "W1", and a photograph showing the wall. The second folders contains individual photogrammetric models of each stone composing the walls and their exact location within the walls, e.g., "Stone 101".</p> <p>The global coordinates of the general photogrammetry of the wall and the individual photogrammetries of the stones are the same. They can be imported in any viewer and will be correctly located.</p> <p>The geometric data is presented in .obj files that can be imported in any 3D modeling software.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Meersman MFL, Aparicio S, Liébana JC, Martin R, Anaya JJ, Gonzalez M. An automated sonic tomography system for the inspection of historical masonry walls (2023)</p>
DocumeNDT stone masonry walls tomographic inspection dataset
<p>This repository contains data from the sonic tomography inspections of six stone masonry walls constructed for an experimental campaign carried out at the laboratory of the Institute for Physical and Information Technologies (ITEFI), from the Spanish National Research Council (CSIC).</p> <p>The data set is structured in 2 levels of folders:<br> - At first level, the 6 folders correspond to the 6 tested stone masonry walls (Wall 1-6).<br> - At second level, for each wall, there are three folders:<br> - The folder 'Coordinates' contains: (1) the coordinates of the emission and reception points; (2) diagrams of the emission and reception locations in elevation; and (3) readme file with specific details about the inspection, e.g., number of emission and reception points<br> - The folder 'Emission raw signal' contains the recorded emission signal for each emission location<br> - The folder 'Reception raw signal' contains the recorded reception signal for each emission location</p> <p>Sonic data are presented in .csv files, structured in columns. Each column correspond to a reception location. The values correspond to the voltage recorded. </p> <p>The frequency of acquisition is 256000 samples/s.</p> <p>Please cite the following related publication:</p> <p>Ortega J, Meersman MFL, Aparicio S, Liébana JC, Martin R, Anaya JJ, Gonzalez M. An automated sonic tomography system for the inspection of historical masonry walls (2023)</p>
Supplementary Tables for Expression of cell-wall related genes is highly variable and correlates with sepal morphology
<p>Supplementary Information and script for "Expression of cell-wall related genes is highly variable and correlates with sepal morphology"</p> <p>R scripts for analysis</p> <p>Data necessary to run analyses</p> <p>Generated data</p> <p>Supplementary Tables</p> <p> </p>
Database generated to analyze the effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions
<p>This dataset was generated to analyze the effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions and is related to the following publication:</p> <p>Volpiani, P. S., Bernardini, M., & Larsson, J. (2020). Effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions. <em>Physical Review Fluids</em>, <em>5</em>(1), 014602.</p> <p>The database contains instantaneous and statistical fields of hypersonic boundary layers and shock/boundary-layer interactions at free-stream Mach number 5. We considered different wall thermal conditions and a wide range of deflection angles. Python scripts are also provided to analyze the data.</p>
Database generated to analyze the effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions
<p>This dataset was generated to analyze the effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions and is related to the following publication:</p> <p>Volpiani, P. S., Bernardini, M., & Larsson, J. (2018). Effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions. <em>Physical Review Fluids</em>, <em>3</em>(8), 083401.</p> <p>The database contains instantaneous and statistical fields of supersonic boundary layers and shock/boundary-layer interactions at free-stream Mach number 2.28. We considered different wall thermal conditions and a wide range of deflection angles. Python scripts are also provided to analyze the data.</p>
MCR LTER: Coral Reef: Data in support of Wall and Edmunds 2013 Biological Bulletin, v225 no. 2, 92-101
These data were generated from a one-time experiment in support of a coral ecophysiology manuscript published in The Biological Bulletin. Wall and Edmunds (2013) The Biological Bulletin vol. 225 no. 2: 92-101 Juvenile colonies of massive Porites spp. were exposed to manipulated pH and bicarbonate ([HCO3 -]) in situ to test the hypothesis that ocean acidification (OA) does not affect respiration and calcification. Incubations lasted 28 h and exposed corals to ambient temperature and light with ecologically relevant water motion. Three treatments were applied: (1) ambient conditions of pH 8.04 and 1751 μmol HCO3 - kg-1 (Treatment 1), (2) pCO2-induced ocean acidification of pH 7.73 and 2011 μmol HCO3 - kg-1 (Treatment 2), and (3) pCO2 and HCO3 --enriched seawater of pH 7.69 and 2730 μmol HCO3 - kg-1 (Treatment 3). The third treatment providing elevated [HCO3 -] was used to test for stimulatory effects of dissolved inorganic carbon on calcification under low pH and low saturation of aragonite (Ωarag), but it does not reflect conditions expected to occur under CO2-driven OA. Calcification of juvenile massive Porites spp. was affected by treatments, with an 81% elevation in Treatment 3 versus Treatment 1, but no difference between Treatments 1 and 2; respiration and the metabolic expenditure concurrent with calcification remained unaffected. These findings indicate that juvenile massive Porites spp. are resistant to short exposures to OA in situ, and separately, that they can increase calcification at low pH and low Ωarag if [HCO3 -] is elevated. Juvenile Porites spp. may therefore be limited by dissolved inorganic carbon under ambient pCO2 conditions.
leaf anatomy, vascular traits and nanomechanical cell-wall properties in European beech provenances
<p>The file contains leaf anatomical data (thickness of individual leaf parenchyma layers), vascular traits of leaf midrib (vessel area and density and derived parameters), and nanomechanical properties of xylem cell walls (modulus of elasticity, adhesion, energy dissipation and deformation), which were studied in 15 provenances of European beech, originating from sites distributed across the whole range of the species. The trial plot (locality Tale in central Slovakia) was established in 1998 with 2-years-old seedling within the international provenance experiment with beech coordinated by the Institute of Forest Genetics of Thuenen Institute Grosshansdorf. Leaf anatomy was studied using light microscopy, while fluorescent microscopy was used to acquire vascular traits and atomic-force microscopy for nanomechanical cell-wall traits. Sun leaves were collected from 4 trees per provenances, 1 leaf per tree was analyzed. AFM was done in a subset of 8 provenances. The aim of the study was assessing geographical trends of the studied traits and their association with climate at the sites of origin to reveal potential adaptive variation patterns.</p>
Dataset to "Applied Research of the Hygrothermal Behaviour of an Internally Insulated Historic Wall without Vapour Barrier: In Situ Measurements and Dynamic Simulations"
<p>This record contains raw data of a 3-month monitoring period of the HeLLo project.</p> <p>The datafiles titled MeasLog_YYYY-MM-DD.dat correspond to the raw data used for the data analysis presented in “Hygrothermal analysis at critical points of an internally insulated historic wall without vapour barrier: in situ measurements and dynamic simulation”, submitted for publication in journal <em>energies</em>.</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat, corresponds to daily registered data monitored every minute.</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat, contains temperature (T) and relative humidity (RH) values, monitored through T-RH sensors (Telaire T9602; Amphenol). The general architecture of the acquisition system is based on a Master Slave configuratio, as described in “Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls” (doi:10.3390/electronics8060643).</p> <p>Each file, format MeasLog_YYYY-MM-DD.dat is a text-based DAT file and can be opened with a standard text editor.</p>
Figure 4 in The muscles, body wall and valve-opening mechanism of extant craniid (inarticulated) brachiopods
Figure 4. Line drawings and digital photographs illustrating cilia current flow and valve features of two species. (A) Diagram showing flow directions of dorsal mantle cilia currents. (B) Diagram of craniid valves and body (after Williams et al. 1997). (C–E) Novocrania californica. C. Cutaway drawing down midline of valves and muscle raising structures. (D, E) OU 44518a-b. Oblique photographs of dorsal and ventral valve interiors. (F–H) Novocrania japonica. (F, G) TUM 951117a. Oblique photographs of dorsal and ventral valve interiors. (H) Cutaway drawing down midline of valves and muscle raising structures. Abbreviations: a, anus; aasc, anterior adductor muscle scar; dv, dorsal valve; msp, median spike; pasc, posterior adductor muscle scar; raams, raised anterior adductor muscle scar; rp, raised pedestal; tve, thin valve extension; vmd, ventral mound; vv, ventral valve.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.