ABSTRACT:

This dataset includes 102 soil samples from the UNSODA database. Soil water retention and unsaturated hydraulic conductivity curves are available.

ABSTRACT:

This database includes simulations of permeability in twelve synthetic and four Fontainebleau pore networks.

ABSTRACT:

Four databases including 11 simulations. References are:

Berg, S., Rücker, M., Ott, H., Georgiadis, A., van der Linde, H., Enzmann, F., et al. (2016). Connected pathway relative permeability from pore-scale imaging of imbibition. Advances in Water Resources, 90, 24–35. https://doi.org/10.1016/j.advwatres.2016.01.010

Gao, Y., Yao, J., Yang, Y., & Zhao, J. (2014). REV identification of tight sandstone in sulige gas field in changqing oilfield china using CT based digital core technology. In 2014 International Symposium of the Society of Core Analysts, Avignon, France (pp. SCA2014-036).

Gerke, K. M., & Karsanina, M. V. (2021). How pore structure non‐stationarity compromises flow properties representativity (REV) for soil samples: Pore‐scale modelling and stationarity analysis. European Journal of Soil Science, 72, 527–545.

Sahimi, M., Hughes, B. D., Scriven, L. E., & Davis, H. T. (1986). Dispersion in flow through porous media-I. One-phase flow. Chemical Engineering Science, 41(8), 2103–2122. https://doi.org/10.1016/0009-2509(86)87128-7

ABSTRACT:

This dataset including 59 soil samples is part of the GRIZZLY database that consists of 660 soil samples from different parts of the world e.g., USA, Hungary, Spain, the Netherlands, France, Australia, and Senegal (Haverkamp et al., 1998).
Haverkamp, R., C. Zammit, F. Boubkraoui, K. Rajkai, J.L. Arrúe, et al. 1998. GRIZZLY, Grenoble soil catalogue: Soil survey of field data and description of particle-size, soil water retention and hydraulic conductivity functions. Laboratoire d’Etude des Transferts en Hydrologie et en Environnement Grenoble, France.

ABSTRACT:

This dataset includes arrival time data simulated by a particle tracking method in three domains with different surface fractal dimensions and Peclet numbers.

ABSTRACT:

This database consists of MATLAB m files including simulations of scale-dependent permeability in 25 pore networks as well as REV permeability in 40 synthetic pore networks.

ABSTRACT:

240 pore network simulations of capillary pressure and unsaturated hydraulic conductivity curves. The data were originally published by Yokeley et al. (2021).

Reference
Yokeley, B. A., Ghanbarian, B., & Sahimi, M. (2021). Rock Typing Based on Wetting-Phase Relative Permeability Data and Critical Pore Sizes. SPE Journal, 26(06), 3893-3907.

ABSTRACT:

This dataset includes the (digitized) original data of Budyko (1974) for NPP versus P/Ep.

Budyko, M.I. (1974). Climate and Life (Academic Press, New York).

ABSTRACT:

How much terrestrial precipitation is used by vegetation and how much runs off, represents central issues in hydrologic science, ecology, climate change, and even geopolitics. We present a theory for the water balance to predict the fractional change in streamflow due to given fractional changes in temperature and precipitation. The theory involves a single parameter whose value is derived under the conditions of neither energy- nor water-limitations and, therefore, is not an adjustable parameter. By comparison with extensive data for precipitation elasticity εp at global scale, we find that the theory captures the key trends of the variations of the median value of εp with the aridity index AI . In contrast to a shortcoming of the classical Budyko phenomenology, namely, convergence to εp = 4 for large AI , our theory yields a value of 2 for the median value of εp for all AI > 1, in accord with the data for major river basins, as well as with the median value of summaries of global and continental data sets. Incorporating in the theory the effects of annual changes in water storage leads to the ability to predict the range of observed values of the elasticity as a function of the aridity index, or its inverse, the humidity index, as well as the run-off ratio. When changes in storage are neglected, the theory yields more accurate predictions for major river drainages than for small watersheds, particularly if the large basin spans various climate regimes and, as such, an integration over climates tends to reduce relative changes in the storage.

ABSTRACT:

Data are related to biological and physical transport processes. This dataset includes “BAAD”, the biometric and allometric database for plant heights (Falster et al., 2015), “plants”m from many sources, selected for faster growth, and “soils”, which are soil depths.

ABSTRACT:

This database including saturated hydraulic conductivity data from the USKSAT database as well as the associated Python codes used to analyze learning curves and train and test the developed machine learning models.

ABSTRACT:

Evapotranspiration, ET, is the most important climatic predictor of the net primary productivity, NPP, of ecosystems. It has also been shown that ET is the single climatic variable that best predicts plant species richness, n. We investigate whether a new theoretical expression for NPP in terms of climatic variables can be utilized to predict the variability of n across geographic regions. Our main hypothesis is that the most important input to the variability of n is climatic. We evaluate the proposed theoretical approach using a wide range of experimental data, collected from the literature. Our results appear to confirm the hypothesis underlying the research and are, therefore, compatible with the existing observations that n is strongly correlated with NPP.

ABSTRACT:

This database includes digitized data from various publications and consists of porosity and Young's modulus or bulk modulus measured/simulated on different types of porous materials.

ABSTRACT:

This database includes precipitation (P), evatranspiration (ET), potential evapotransiration (PET) and subsequent calculations for different continents.