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7 results for “slope stability”
Effect of live cribwall on slope stability - modelling outputs
<p>These datasets contain outputs from a novel live cribwall model. The model assess the effect of a live cribwall on slope stability over time. The dataset contains Factor of Safety records under different plant cover and climate change scenarios. The model is still unpublished. For more detail, please get in touch aol3@gcu.ac.uk </p>
MarTREC Publication forBio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi
<p>The link considers the data file for the MarTREC Project: Bio-Inspired Stabilization of Levee Slope on Expansive Yazoo Clay at the Maritime and Multimodal Transportation Infrastructure in Mississippi.</p> <p>PI: Dr. Sadik Khan</p> <p>Funding Agency: This material is based upon work supported by the U.S. Department of Transportation under Grant Award Number DTRT13-G-UTC50. The work was conducted through the Maritime Transportation Research and Education Center at the University of Arkansas.</p>
Data and code from: Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing
<p>This repository contains the Julia code, Jupyter notebook, and data used in the study “Healthy young adults use distinct gait strategies to enhance stability when walking on mild slopes and when altering arm swing” by MacDonald et al.</p> <p><strong>Instructions</strong></p> <p>To run this analysis on your computer, both Julia and Jupyter Notebook must be installed. A version of Julia appropriate for your OS can be downloaded from the <a href="https://julialang.org/downloads/">Julia website</a>, and Jupyter can be installed from within Julia (in the REPL) with</p> <pre><code>] add IJulia</code></pre> <p>Alternate instructions for installing Jupyter can be found on the <a href="https://github.com/JuliaLang/IJulia.jl">IJulia github</a> or the <a href="https://jupyter.org/install">Jupyter homepage</a> (not recommended).</p> <p>From within the main repository directory, start Julia and then start Jupyter in the Julia REPL</p> <pre><code>using IJulia notebook(;dir=pwd())</code></pre> <p>or if using a system Jupyter installation, start Jupyter from your favorite available shell (e.g. Powershell on Windows, bash on any *nix variant, etc.). In Jupyter, open the <code>notebooks/analysis.ipynb</code> notebook. Running all cells will reproduce the results for this paper.</p> <p><strong>Description of data</strong></p> <p>The <code>data</code> directory contains all the data used in the production of the results which were statistically tested.</p> <p>Each <code>.mat</code> file contains events and data generated in Visual3D:</p> <ul> <li>Events <ul> <li><code>LTO</code>/<code>RTO</code> (Left/right toe-off)</li> <li><code>LHS</code>/<code>RHS</code> (Left/right heel-strike)</li> <li><code>HIST</code>/<code>HIEN</code> (Hilly start/end)</li> <li><code>ROST</code>/<code>ROEN</code> (Rocky start/end)</li> <li><code>MLST</code>/<code>MLEN</code> (ML translation start/end)</li> </ul> </li> <li>Data <ul> <li><code>LFootPos</code>/<code>RFootPos</code> (Left/right foot COM position)</li> <li><code>TrunkPos/TrunkVel</code>/<code>TrunkAcc</code> (Trunk COM position, velocity, and acceleration)</li> <li><code>HeadPos/HeadVel</code>/<code>HeadAcc</code> (Head COM position, velocity, and acceleration)</li> <li><code>COG</code> (Whole-body COM/COG)</li> </ul> </li> </ul> <p>The <code>.csv</code> files contain system state of the CAREN system produced by D-Flow software, which includes various system and software settings, most pertinent of which is the treadmill speed.</p> <p>The <code>.c3d</code> files contain the raw motion capture data from Vicon Nexus.</p> <ul> </ul> <p>The results of the <code>notebooks/analysis.ipynb</code> notebook are found in the <code>results</code> folder. Please see the paper for a list of the dependent variables and statistical analyses.</p>
The beneficial role of stratigraphy on slope stabilization by drainage trenches: results of FEM numerical analyses.
<p>Slope stabilization through drainage trenches is a classic approach in geotechnical engineering. Considering the low hydraulic conductivity of the soils in which this measure is usually adopted, a major constraint to the use of trenches is the time required to obtain a significant pore pressure decrease, here called “time lag”. In fact, especially when the slope safety factor is small, the use of drainage trenches may be a chancy approach due to the probability that slope deformations will damage the system well before it will become fully operative.</p> <p>However, this paper shows that the presence of persistent pervious natural soil layers in the slope can provide a significant benefit by increasing drainage efficiency and reducing time lag. As a matter of fact, any pervious layer that is intercepted by trenches may operate as part of the global hydraulic system, reducing the drainage paths.</p> <p>A simplified approach to design a drainage system accounting for the presence of a persistent pervious layer is proposed. This approach, which can exploit solutions available in literature for parallel drainage trenches, has been validated by numerical analyses.</p>
Dataset of Slope Stability Analsyis of Dune Face undergoing Wave-Driven Erosion
<p>This dataset contains the slope stability analysis performed for the paper titled: "Using geotechnical modelling to explore dune face stability undergoing wave-driven erosion". It contains groundwater and slope stability analyses performed with the software Geostudio (v2012.) of dune faces undergoing wave driven erosion and reflect all the analysis performed to produce the results of the paper. The folders are split as the results and discussion sections where the figures were presented. All the geostudio files made are found in the relevant folder together with an excel CSV file summarising the results.</p>
Data from: Postural stability margins as a function of support surface slopes
Open the record for dataset details and reuse information.
The impact of planting density on the morphological traits and peak pullout force of vegetation and slope stability
<p><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer">NC_morphological.xl</a>s and <a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer">MS_morphological.xls files include all morphological traits of two species, </a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">ms_force_space.RData</a><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer"> and nc</a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">_force_space.RData files include the uprooting force - time data.</a></p> <p><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">In ms_force_space.RData</a><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer"> and nc</a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">_force_space.RData, Time means sampling time, AI1.01 means uprooting force, sample means the sampling ID, test means different planting densities. </a></p> <p><span>This study examines the influence of planting density on the morphological traits and peak pullout force of two herbaceous plant species, <em>Medicago sativa</em> (MS) and <em>Nepeta cataria</em> (NC), and their collective impact on slope stability. Through field experiments across six planting densities (8, 11, 16, 25, 44, and 100 plants/m²), we evaluated changes in plant morphology, root and shoot biomass, and root anchorage strength. The peak pullout force was analyzed using the infinite slope stability model to assess its correlation with slope stability coefficients.</span></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.