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Experimental data on mechanical aperture, roughness, and hydraulic aperture evolution in fractured rock during biomineralization treatment
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| Type: | Resource | |
| Storage: | The size of this resource is 418.5 MB | |
| Created: | Jun 18, 2026 at 10:01 a.m. (UTC) | |
| Last updated: | Jun 18, 2026 at 12:14 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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| Views: | 198 |
| Downloads: | 25 |
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Abstract
This dataset supports the findings in the manuscript "Biomineralization-induced regime transition in fracture hydraulic properties: Competing effects of mechanical closure and roughness evolution" (Deng et al., submitted to Water Resources Research). The data were collected from seven cycles of biomineralization treatment experiments conducted on three artificial single-fracture models (M1, M2, and M3) with different initial apertures and surface roughness conditions. The dataset includes: (1) raw grayscale images of CaCO3 precipitation for all samples across cycles 0–7; (2) measured steady-state inlet-outlet pressure difference (ΔP) used to calculate hydraulic aperture (bₕ); (3) processed mechanical aperture (bₘ) distributions, roughness parameters including the Joint Roughness Coefficient (JRC) and the Root Mean Square (RMS) slope of aperture profiles (Z2_b), and hydraulic aperture (bₕ) values for each treatment cycle; (4) calibration and validation data for the grayscale-thickness inversion relationship, with prediction accuracy evaluated by the Root Mean Square Error (RMSE); and (5) Python scripts for data processing, roughness calculation, and figure generation. The data are organized into folders corresponding to each analysis type; a README file is included to provide detailed descriptions of file naming conventions and folder structures. These data can be reused for benchmarking numerical models of fracture permeability evolution, validating biomineralization-induced sealing mechanisms, or comparing with other fracture flow experiments. Users are requested to cite the related manuscript and this dataset when using the data.
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Natural Science Foundation of China | None | 42477066 |
| National Science and Technology Major Project of China | jing-Jin-Ji Regional Integrated Environmental Improvement | 2026ZD1210500 |
| CTRP Open Fund of Radiation Protection Laboratories | None | ZFYFSHJ-2024001 |
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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