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130 results for “Aquifers”
Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves
<p>All data used in paper "Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves".</p>
Groundwater model outputs for coastal aquifer system
<p>Model outputs for 9 predevelopment coastal groundwater models, and one development scenario for each of these models. This data has been used to generate results for a manuscript which has been submitted for publication.</p>
Data perennial firn aquifer emulator
<div> <p>These NetCDF files contains perennial firn aquifer output from an XGBoost firn emulator for Antarctica. The datasets are time series of annual perennial liquid water content (if present), and otherwise the days per year without the presence of liquid water within the firn (times -1). The dataset covers the period 2015-2100 for several RCM and GCM combinations. Please feel free to send me a message if you have any questions (s.b.m.veldhuijsen@uu.nl). These data are used in a manuscript to be submitted to <strong><em>The Cryosphere</em></strong>.</p> <p> </p> </div>
Hydro-mechanical simulation of CO2 Injection into a faulted aquifer
<h2>Summary</h2> <p>This dataset contains the results of geomechanical simulations conducted on a faulted aquifer under conditions of CO2 injection. The primary focus of the simulations is the pressure evolution within the rock matrix and along the fault, as well as the associated changes in the mechanical state, including rock deformation and fault slip. Additionally, the simulations explore the sensitivity of fault stability under varying orientations of far-field stress.</p> <p>The dataset includes raw data in VTK format, as well as an illustrative Jupyter notebook that provides a comprehensive explanation of the problem's geometry, boundary and initial conditions, and an interpretation of the observed physical phenomena. The Jupyter notebook is designed to be run both online and locally.</p> <p>These simulations were performed using an open-source FEM-based geomechanical simulator. Detailed instructions for running the notebook, along with a link to the geomechanical simulator, are provided in the description below.</p> <h2>Contributions</h2> <ul> <li>Emil Gallyamov did contribute to the production of the dataset and its visualisation.</li> <li>Ismaël Gomes did contribute to the development of the visualisation interface through Jupyter Notebooks and Streamlit.</li> <li>Guillaume Anciaux did contribute to the development of the visualisation interface and data curation.</li> </ul> <h2>Data collection: period and details</h2> <ul> <li>From 20 April, 2024 to 30 August, 2024, the .pvt and .npy files were generated, curated, and visualisation routines were developed.</li> </ul> <h2>Funding sources</h2> <ul> <li>ENAC Interdisciplinary Cluster Grant project <a href="https://www.epfl.ch/schools/enac/osgeocgs/">OSGEOCGS</a>.</li> </ul> <h2>Notebook demonstration</h2> <h3>Online</h3> <p>An interactive notebook showcasing visualisations of the dataset is available on <a href="https://renkulab.io/projects/phamba/geology-data-visualization/sessions/new?autostart=1">RenkuLab</a>.</p> <h3>Running locally</h3> <p>Alternatively, you can launch the notebook on your computer. Download the dataset, install dependencies, and launch <em>Jupyter notebook</em>:</p> <p><code>pip install -r requirements_freeze.txt</code></p> <p><code>jupyter notebook</code></p> <p>Then, open <code>notebooks/DataVisualisation.ipynb</code>.</p> <h2>Reproducing the dataset</h2> <p>To recreate the results found in this dataset, install the <a href="https://archive.softwareheritage.org/browse/origin/directory/?origin_url=https://gitlab.com/emil.gallyamov/akantu-geomechanical-solver">solver</a> and go through the example at <a href="https://archive.softwareheritage.org/browse/origin/directory/?origin_url=https://gitlab.com/emil.gallyamov/akantu-geomechanical-solver&path=examples/injection_fault"><code>examples/injection_fault</code></a>.</p> <h2>Data structure and information</h2> <p>The repository has the following structure:</p> <ul> <li>data: simulation results <ul> <li>reservoir_vs_time: bulk, solid, cohesive and fault fields for the duration of the simulation <ul> <li>paraview: vtk files</li> <li>*.npy: numpy arrays to store numerical data at specified locations</li> </ul> </li> <li>fault_vs_angle: only cohesive fields for 180 degrees of rotation <ul> <li>cohesive_0*.vtu: vtu files containing absolute values of the fields</li> <li>cohesive_init_0*.vtu: all the fields in these files are frozen to the initial (at rest) system state</li> <li>cohesive_parsed.pvd</li> <li>cohesive_init_parsed.pvd: postprocessing of Ismaël is substracting one set of data from the other one and plots the difference - increase of slip</li> </ul> </li> </ul> </li> <li>notebooks: data visualisation through Jupyter Notebooks <ul> <li>images: images used for illustration in notebooks (e.g. schema of stress rotation, model geometry, etc.) <ul> <li>stress_rotation: contains images with scheme of rotation for angles from 0 to 180</li> </ul> </li> <li>DataVisualisation.ipynb: main notebook with visualized DataVisualisation</li> </ul> </li> <li>library: all the scripts needed to visualize DataVisualisation</li> </ul>
Variability in timing and transport of Pleistocene meltwater recharge to regional aquifers
<p>Table S1 and Table S2 for Supplementary Information for article 2021GL094285 (<em>Variability in timing and transport of Pleistocene meltwater recharge to regional aquifers</em>) in Geophysical Research Letters.</p>
Two new phreatic snails (Mollusca: Caenogastropoda: Cochliopidae) from the Edwards and Edwards-Trinity aquifers, Texas
Open the record for dataset details and reuse information.
Proposed managed aquifer recharge projects in California groundwater sustainability plans
Open the record for dataset details and reuse information.
Monthly depth to groundwater from wells in the shallow aquifer of the Rio Grande flood plain (Bosque) in New Mexico, USA: 1997-2020
Bosque Ecosystem Monitoring Program(BEMP). BEMP is a partnership between Bosque School, Sevilleta Long Term Ecological Research Station, and the University of New Mexico. Five wells at each BEMP site (33 in total) are used to measure depth to groundwater, which plays a critical role in cottonwood and other vegetation health and are also important to understanding water cycle and evapotranspiration dynamics.
Hydraulic and geochemical impact of occasional saltwater intrusions through a submarine spring in a karst and thermal aquifer (Balaruc peninsula near Montpellier, France)
<p>Contains geochemical and isotopic data presented in the scientific paper "Hydraulic and geochemical impact of occasional saltwater intrusions through a submarine spring in a karst and thermal aquifer (Balaruc peninsula near Montpellier, France)".</p> <p>Files contain physico-chemical parameters, major ions, rare earth elements and isotopic data (Sr, B) for karst and thermal groundwater samples collected between 2010 and 2018 in the Balaruc-les-Bains (France) area.</p>
Weekly depth to groundwater space-time maps for a shallow aquifer in rural Colombia
<p>The following dataset is related to the paper: Integrating community science research and space-time mapping to determine depth to groundwater in a remote rural region. It contains the results of the modeling approach that combines space-time depth to groundwater values with probabilistic depth to groundwater data. </p> <p> </p> <p><strong>Abstract [From the paper]:</strong></p> <p>We show how Community Science Research, an approach in which research projects are built with active community participation, added essential descriptive information to a statistical model to represent groundwater levels of a shallow aquifer located in Colombia. The community collected depth to groundwater during an extreme wet year and an average year in the watershed's middle-low-elevation areas. We used the data to map depth to groundwater using three statistical models, each with different configurations. Depth to groundwater is better represented by the model that incorporates qualitative data into quantitative observations. We map the probability of shallow depth to groundwater to identify how the aquifer responds to precipitation and show that in the wet year, the area of shallow depth to groundwater considerably increases compared to the average year. This difference implies that after the watershed receives an excess in precipitation, its flow regulation capacity can decrease, which is further threatened by local land-use activities. </p>
groundwater model and data of SWB aquifer
<p>groundwater model and observed groundwater levels of "Südliches Wiener Becken" aquifer</p>
Captivity-induced behaviour and spatial learning abilities in an enigmatic, aquifer-dwelling blind eel, Rakthamichthys digressus
<p>This dataset contains data from the exploratory behaviour and spatial learning experiments done. We investigated the impact of captive life on behaviour and learning abilities in an enigmatic, aquifer-dwelling blind eel, <em>Rakthamichthys digressus</em>. Of eight major behavioural traits related to exploration and activity in a novel arena, four were significantly altered by life in captivity. While the startle response upon introduction into the arena and overall swimming away from the walls increased after captivity, inactivity exhibited immediately after the startle and the reaction to an external disturbance decreased. We also observed behavioural syndromes between startle responses and horizontal wall following, and between overall activity and vertical wall following; however, these behavioural syndromes were not altered by maintenance in captivity. Interestingly, this blind-eel failed to learn a simple spatial task in a Y-maze apparatus. Captive-associated behavioural changes in <em>R. digressus</em> may influence their survival after reintroduction into natural habitats, and such changes must be taken into account while developing protocols for ex-situ conservation and subsequent release.</p>
Data for the paper "Assimilation of noble gas tracer concentrations with data space inversion in alluvial river-aquifer systems"
<p>This is the modelling data required to obtain results discussed in "Assimilation of noble gas tracer concentrations with data space inversion in alluvial river-aquifer systems".</p> <p> </p>
A Database of Water Stable Isotopes in Iran's Strategic Aquifers
Open the record for dataset details and reuse information.
Supplementary material 2 from: Perez KE, Guerrero Y, Castañeda R, Diaz PH, Gibson R, Schwartz B, Hutchins BT (2023) Two new phreatic snails (Mollusca, Caenogastropoda, Cochliopidae) from the Edwards and Edwards-Trinity aquifers, Texas. Subterranean Biology 47: 1-27. https://doi.org/10.3897/subtbiol.47.113186
Photo-vouchers of individuals sampled for DNA or radula, Vitropyrgus lillianae gen. et sp. nov. and Stygopyrgus bartonensis
Data for publication "On the flow behaviour of unconfined dual porosity aquifers with sloping base"
<p>Data used in the paper </p> <p>"On the flow behaviour of unconfined dual porosity aquifers with sloping base", </p> <p>by Konstantinos N. Moutsopoulos, John N. E. Papaspyros, Antonis D. Koussis, Frédérick Delay, and Marwan Fahs, </p> <p>submitted to Advances in Water Research.</p>
data for modeling scale of representation of heterogeneity on simulated salinity and saltwater circulation in coastal aquifers
<p>This is the modeling data for modeling scale of representation of heterogeneity on simulated salinity and saltwater circulation in coastal aquifers. We setup a series of SEAWAT models to see the scale-dependent heterogeneity in simulations of saltwater circulation and cautions</p>
Calibration of a movable heat pulse probe in borehole for measuring horizontal groundwater flow velocity in deep aquifers
<ol> <li>The first file is the flow profile data calculated by analytical solution in the steady-state flow. The calculation region is 30cm×30cm.</li> <li>The secend file is the temperature response data calculated by finite difference method. The simulated temperature response data corresponding to all heat pulse experiments are calculated and listed here.</li> </ol>
Calibration of a movable heat pulse probe in borehole for measuring horizontal groundwater flow velocity in deep aquifers
<ul> <li>In the laboratory, 42 heat pulse experiments with 7 different Darcy’s velocities and 6 different heating powers had been done. The results are summarized in a relationship of temperature increase with time.</li> <li>The temperature responses were continuously monitored over a 30min period. Data were collected every 2s throughout the recording period. In order to strictly monitor the actual power to the heater, the voltage and current delivered to the heater were also recorded simultaneously with the temperature.</li> <li>The heater was switched on and lasted for 1 min to generate a heat pulse. The time when the heater was switched on was selected as the initial time of data analysis.</li> </ul>
Supplementary material for "Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study"
<p>Supplementary material for ”Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case study".</p> <p>The <a href="https://github.com/sonasalehian/AHC-Poroelastic-Model.git" target="_blank" rel="noopener">AHC-Poroelastic-Model</a> codes from repository is included in the AHC-Poroelastic-Model-main.zip file.</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)
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DANDI Archive for NWB datasets
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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.