41 to 50 of 2,916 Results
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Tabular Data - 326 B - 3 Variables, 19 Observations - UNF:6:d/VgHv6wl8cDNFlFOr0dLA==
Experimental time-series data for the a6mm aperture case with 60 min mean residence time, 0.5 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Tabular Data - 342 B - 3 Variables, 20 Observations - UNF:6:U2cN0kAuJw6vOSlDhYPksQ==
Experimental time-series data for the a6mm aperture case with 60 min mean residence time, 1.0 bar CO₂ partial pressure, and 21 °C temperature. Contains measurements of elapsed time, calcium concentration (cCa, mg/L), and pH, processed from NERO_ExperimentalData.ods for postprocessing and simulation validation. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Gzip Archive - 16.4 GB -
MD5: d30c0d678eeaa562acfbcdbe641450a4
Contains the simulation output raw data which can be used to reproduce vtk output. See section "Reproducing the VTK Files" in repositories readme. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Gzip Archive - 377.8 MB -
MD5: 168232b6c35383ddaf551ba97d661e28
Contains the main data set used for reproduction of the plots in the paper |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Python Source Code - 2.8 KB -
MD5: aea9a8dbe24875e5443063a8baa02acd
Python script that calculates the theoretical pre-experimental inlet fluid pH and prints it to the CLI. Corresponds to pH_in values Table 1 in the associated publication. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Python Source Code - 15.6 KB -
MD5: 734907a8753423b28543c1dacd9d1fc6
Python script that estimates the surface retreat expected in the experiments using the NERO_ExperimentalData.ods file; prints results to the console. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Adobe PDF - 29.1 KB -
MD5: 6c47351c2d4b5c48852df5d2b76cd95a
PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 simulation cases using the grid-convergent resolution. Shown in figure 4 (b) in associated publication. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Python Source Code - 5.9 KB -
MD5: 216be2d15d451df81f6eeb895da0087c
Core Python module implementing the chemistry of the H₂O–CO₂–CaCO₃ system. It defines temperature-dependent equilibrium constants, carbonate speciation, and solvers for open and closed CO₂ equilibria, providing the thermodynamic basis for all pH and dissolution calculations in the associated publication. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Adobe PDF - 29.3 KB -
MD5: de7a6a42eca2838ba279228436d09393
PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 simulation cases using the initial grid resolution. Not shown in associated publication. |
May 27, 2026 -
Data for: Validating a Numerical Model for Calco-Carbonic Reactive Flow in a Laboratory Scale Fracture Analog
Python Source Code - 5.5 KB -
MD5: 3b5d58372c89c8ee668f6942944bbbd3
Python script that performs linear interpolation and regression analysis for the temperature-dependent diffusion coefficient of CO₂ in water, using experimental data from the CRC Handbook of Chemistry and Physics. It fits a linear model to predict diffusion coefficients at arbitrary temperatures and calculates correlation statistics. The script acc... |
