Mineral Concentrations in Soil and Natural Water for Cattle Nutrition Assessment

Ashenafi Miresa published a dataset on figshare in May 2026 containing physicochemical and mineral concentration data for natural mineral water ('hora') and surrounding soils. The dataset includes measurements for 11 physicochemical parameters and 12 mineral elements, collected in triplicate from multiple districts. Results indicate significant variation across districts and highlight elevated levels of certain parameters that may affect suitability for cattle nutrition.

Use Cases

• Assessing the suitability of natural mineral water for cattle based on physicochemical properties like electrical conductivity and ammonia levels.
• Evaluating potential mineral toxicity in cattle from soil ingestion based on concentrations of iron, molybdenum, and manganese.
• Comparing mineral composition variations across different geographical districts for resource management.
• Developing nutritional supplementation strategies for livestock based on measured concentrations of calcium, potassium, sodium, and magnesium.

Strengths

• Data includes specific, measured values for key parameters, such as electrical conductivity up to 2900 µS/cm and soil iron concentration of 31.4 g/kg.
• Samples were collected and analyzed in triplicate from each district, which suggests a structured sampling methodology.
• Dataset covers a comprehensive set of 12 mineral elements and 11 physicochemical parameters relevant to animal nutrition.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.6 KB, indicating limited scope.

Provenance

Source

Ashenafi Miresa via figshare.

Collection Method

Samples of 'hora' (natural mineral water) and surrounding soil were collected in triplicate from each district, processed, and analyzed.

Freshness

Last updated 2026-05-14 17:43:08; freshness should be verified.

Geography

Multiple districts within an unspecified study area.