The potential cation exchange capacity is a measure of a soils ability to store ions which are positively charged. Cation exchange capacity as shown in this dataset is added up for all soil horizons down to 1 m below the surface and later classified into groups ranging from very low to very high. For mineral soils, cation exchange capacity values are computed by pedotransfer functions using clay and silt percentages derived from soil texture classes as well as humus content. The input parameter are themselves estimates made by soil surveyors in the field from soil material collected using soil augers.

Water Permeability (hydraulic conducivity) is an important soil physical property describing the speed at which water moves through a fully saturated soil. Hydraulic conductivity values (kf values) as shown in this dataset are added up for all soil horizons down to 1 m below the surface. They are then classified into six groups ranging from very low to extremely high. For mineral soils, kf values are computed by pedotransfer functions using soil texture type, humus content and effective packing density information. These input parameter are themselves estimates made by soil surveyors in the field from soil material collected using soil augers.

Der Download-Dienst bietet eine Zugriffsmöglichkeit auf die Geltungsbereiche der rechtskräftigen Bebauungspläne der Stadt Villingen-Schwenningen. Als Attribute sind neben den Informationen zum Namen, Nummer, Inkrafttretungsdatum, … auch der WMS-Dienst Link etc. hinterlegt. Zusätzliche Informationen findet man in der Bebauungsplan-App der Stadt

Soil erodibility expresses how susceptible a soil is of being eroded by water. To quantify that risk the K-factor of the German implementation (ABAG) of the Universal Soil Loss Equation (USLE) is used. The K-factor as shown in this dataset is classified into groups ranging from very low to very high. K-factor values are derived from lookup tables based on classes of soil texture. They are subsequently corrected depending on the stoniness of a soil and its humus content. The input parameter are themselves estimates made by soil surveyors in the field from soil material collected using soil augers. Note that the K-factor is only calculated for agricultural soils and solely represents topsoil horizons.

Since 1999, the Geologic Survey of Baden-Württemberg publishes a statewide geological map series 1 : 50 000 "Karte der mineralischen Rohstoffe 1 : 50 000 (KMR 50)". On it, the distribution of near-surface mineral raw material prospects and occurrences (mainly) and deposits (subordinate) is shown. This continuously completed and updated map currently covers around 60% of the federal state. It is the base for the regional associations in the task of mineral planning. The prospects and occurrences are classified according to different raw material groups (e.g. raw material for crushed stone (limestone, igneous rocks, metamorphic rocks, sand and gravel), raw materials for cement, dimension stone, high purity limestone, gypsum ...). Their spatial delineation is based on various group-specific criteria such as minimum workable thickness, minimum resources, ratio overburden/workable thickness, and so on. It is assumed that they contain deposits as a whole or in parts. In the vast majority of cases, the data is not sufficient for the immediate planning of mining projects, but it does facilitate the selection of exploration areas. The name of each area (e.g. L 6926-3) consists of three parts. L = roman rnumeral fo 50, 6926 = sheet number of the topographic map 1 : 50 000, 3 = number of the area/mineral occurrence shown on this sheet. Co-occurring land-use conflicts, e.g. water protection areas and nature conservation areas, forestry and agriculture, are not taken into account in the processing of KMR 50. Their assessment is the task of land use planning, the licensing authorities and the companies interested in mining. The data is stored in the statewide raw material area database "olan-db" of the LGRB.

The field capacity of a soil specifies the amount of water that remains in the soil after gravity has drained all excess water following, for instance, a major rain event. It is defined as the water content of a soil at pF 1.8. Water content at field capacity as shown in this dataset is added up for all soil horizons down to 1 m below the surface and later classified into groups ranging from very low to very high. For mineral soils, field capacity values are computed by pedotransfer functions using soil texture type, humus content and effective packing density information. Share of coarse fragments and hard rock are considered as non-water holding volume. The input parameter are themselves estimates made by soil surveyors in the field from soil material collected using soil augers.

Plant available water capacity, also known as available water-holding capacity, is a key soil attribute as it quantifies the amount of a soil's water available for plants. More precisely, the available water-holding capacity is defined as the amount of water held by soil mesopores, i.e. between field capacity (pF 1.8) and permanent wilting point (pF 4.2). Plant available water capacity as shown in this dataset is added up for all soil horizons down to 1 m below the surface and later classified into groups ranging from very low to very high. For mineral soils, plant available water capacity values are computed by pedotransfer functions using soil texture type, humus content and effective packing density information. Share of coarse fragments and hard rock are considered as non-water holding volume. The input parameter are themselves estimates made by soil surveyors in the field from soil material collected using soil augers.