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| Type: | Resource | |
| Storage: | The size of this resource is 40.9 MB | |
| Created: | Mar 24, 2025 at 4:19 p.m. | |
| Last updated: | Apr 21, 2025 at 5:55 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Discoverable |
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| Views: | 75 |
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Abstract
This dataset documents time-lapse Electrical Resistivity Tomography (ERT) measurements conducted as part of a controlled rainfall simulation experiment at the Jornada Experimental Range in the Chihuahuan Desert. A total of 6,000 liters of water were applied over a 20x10 m experimental plot using two sprinklers to simulate a 60 mm rainfall event. To monitor subsurface water redistribution, a 72-electrode array (8x9 grid) was installed, and 26 ERT surveys were conducted using a dipole–gradient configuration. One baseline survey was performed prior to irrigation, followed by 25 monitoring surveys over a two-month period. Early measurements were taken every 2 hours and gradually spaced out over time to capture longer-term changes.
The resulting dataset includes raw resistivity files, inverted resistivity models for each survey, and time-lapse visualizations highlighting temporal changes in soil resistivity at the same location. These data allow for detailed analysis of infiltration patterns, water retention, and redistribution in arid soils, and contribute to a better understanding of how rainfall pulses affect water availability in desert ecosystems. The ERT method provides a valuable non-invasive tool to observe and quantify soil moisture dynamics in three dimensions under real-world field conditions.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | Network Cluster: Patterns and controls of ecohydrology, CO2 fluxes, and nutrient availability in pedogenic carbonate-dominated dryland critical zones | 2012475 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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