Available waterholding capacity refers to the potential volume (on a per unit area basis, expressed in mm) within the rootzone of a soil that can be filled by rainfall or irrigation, and is available to plants (i.e. not including moisture help by soil matrix suction). Assessments are based on the rootzone of wheat plants. Mapping shows the estimated average available waterholding capacity, while detailed proportion data are supplied for calculating respective areas of each available waterholding class (spatial data statistics).

Waterlogging susceptibility describes the degree and duration of impact to soils, and hence plants, arising from poor drainage. Mapping indicates the most severely waterlogged areas (provided they occupy at least 30% of a map unit), while detailed proportion data are supplied for calculating respective areas of each waterlogging susceptibility class (spatial data statistics).

Acid sulfate soil potential mapping shows the proportion of land susceptible to the development of acid sulfate soils, while detailed proportion data are supplied for calculating respective areas of each acid sulfate soil potential class (spatial data statistics).

Land use potential for Field Peas: based on soil and landscape attributes only. The relative potential to sustain particular crops is predicted from expert assessment of plant requirements and available soil and land attribute mapping. No account has been taken of water quality or availability, climatic factors or existing land use. This spatial dataset is part of a series depicting the potential of land for a range of agricultural uses.

Land use potential for Barley: based on soil and landscape attributes only. The relative potential to sustain particular crops is predicted from expert assessment of plant requirements and available soil and land attribute mapping. No account has been taken of water quality or availability, climatic factors or existing land use. This spatial dataset is part of a series depicting the potential of land for a range of agricultural uses.

Land use potential for Potatoes: based on soil and landscape attributes only. The relative potential to sustain particular crops is predicted from expert assessment of plant requirements and available soil and land attribute mapping. No account has been taken of water quality or availability, climatic factors or existing land use. This spatial dataset is part of a series depicting the potential of land for a range of agricultural uses.

Deep drainage refers to the capacity of the deep subsoil and the material immediately below the soil profile to allow excess water to move downwards into deep sediments or fractured rock. Poorly structured or heavy clays are the most restrictive. Mapping shows the most limiting deep drainage potential class (provided this accounts for at least 30% of a map unit), while detailed proportion data are supplied for calculating respective areas of each deep drainage potential class (spatial data statistics).

Land use potential for Brassicas: based on soil and landscape attributes only. The relative potential to sustain particular crops is predicted from expert assessment of plant requirements and available soil and land attribute mapping. No account has been taken of water quality or availability, climatic factors or existing land use. This spatial dataset is part of a series depicting the potential of land for a range of agricultural uses.

A previous soil-water balance (SWB) model [Smith and Westenbroek, 2015; http://dx.doi.org/10.3133/sir20155038) for Minnesota was updated to simulate potential recharge rates from 2014 to 2018. The previous model was developed to estimate mean annual potential recharge from 1995 to 2010. The updated model was also run with a newer version of the SWB model, also known as SWB version 2.0 {Westenbroek and others, 2018; https://doi.org/10.3133/tm6A59). The updated model was used to extract potential recharge rates for comparison to recharge rates calculated for two agricultural field sites in southeastern Minnesota, as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2020-5006 (http://dx.doi.org/10.3133/sir20205006). The potential recharge rates were also used to simulate potential recharge rates for all of southeastern Minnesota from 2014-2018. For this model, the land-use grid was updated to the 2011 National Land Cover Database (NLCD); otherwise, the other input datasets and the lookup table were left unaltered from the original model. Daymet (version 3) daily surface weather data necessary for running this SWB model, including "prcp", "tmax", and "tmin", can be downloaded from this SWB model archive. Alternatively, the Daymet v3 are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1328.