Automated Author ProfileSande, Tamara
Universidade Zambeze
Sande, Tamara
Universidade Zambeze
Current S-Index
1.1
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.5
Average Dataset Index per dataset
Total Datasets
2
Total datasets for this author
Average FAIR Score
69.2%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- OverviewThis dataset contains soil fertility data collected from Irish potato (Solanum tuberosum L.) production fields in Tsangano and Angónia districts, Tete Province, Mozambique. The data were generated as part of a study evaluating soil chemical and physical properties to identify nutrient limitations and support site-specific fertilizer recommendations for sustainable potato production.Soil samples were collected from representative fields at 0–20 cm depth and analyzed for key fertility parameters, including soil pH (H₂O and CaCl₂), electrical conductivity (EC), organic carbon (OC), organic matter (OM), total nitrogen (TN), available phosphorus (P), exchangeable potassium (K), calcium (Ca), magnesium (Mg), sodium (Na), cation exchange capacity (CEC), base saturation (BS), and micronutrients (Fe, Zn, Cu, Mn).The dataset also includes field coordinates, sampling codes, land-use descriptions and date. The results were used to assess nutrient status, classify soil fertility levels, and support correlation and regression analyses related to potato yield and nutrient uptake.2. File StructureFile name: Fertility_Data_Tsangano_Angonia.xlsxThe Excel file contains four sheets:• Sheet 1 – Field_Information: Field codes, GPS coordinates (latitude, longitude), altitude, land use, and sampling date.• Sheet 2 – Chemical_Properties: Soil pH (H₂O, CaCl₂), EC, OC, OM, TN, C:N ratio, available P, exchangeable K, Ca, Mg, Na, CEC, BS, ESP, and micronutrients (Fe, Zn, Cu, Mn).• Sheet 3 – Physical_Properties: Soil texture (sand, silt, clay %).3. Variable Description and UnitsVariable Description UnitField_ID Sample or field code –Latitude / Longitude Geographic coordinates Decimal degreespH_H2O / pH_CaCl2 Soil pH measured in water or 0.01 M CaCl₂ –EC Electrical conductivity dS m⁻¹OC Organic carbon %OM Organic matter %TN Total nitrogen %C:N Carbon-to-nitrogen ratio –P Available phosphorus (Mehlich 1 or 3) mg kg⁻¹K, Ca, Mg, Na Exchangeable bases cmol(+) kg⁻¹CEC Cation exchange capacity cmol(+) kg⁻¹BS Base saturation %ESP Exchangeable sodium percentage %Fe, Zn, Cu, Mn Available micronutrients (DTPA extractable) mg kg⁻¹Sand, Silt, Clay Particle size fractions %4. MethodologySoil analyses followed standard laboratory methods:• pH: 1:2.5 soil:solution ratio• OC: Walkley–Black wet oxidation• TN: Kjeldahl digestion• Available P, K, Ca, Mg, Na: Mehlich extraction• Micronutrients: Mehlich extraction• CEC: Ammonium acetate method• Texture: Hydrometer method
Authors
- Sande, Tamara
0 Citations0 Mentions69% FAIR0.5 Dataset Index
10.17632/h5g7nx68992025
- OverviewThis dataset contains soil fertility data collected from Irish potato (Solanum tuberosum L.) production fields in Tsangano and Angónia districts, Tete Province, Mozambique. The data were generated as part of a study evaluating soil chemical and physical properties to identify nutrient limitations and support site-specific fertilizer recommendations for sustainable potato production.Soil samples were collected from representative fields at 0–20 cm depth and analyzed for key fertility parameters, including soil pH (H₂O and CaCl₂), electrical conductivity (EC), organic carbon (OC), organic matter (OM), total nitrogen (TN), available phosphorus (P), exchangeable potassium (K), calcium (Ca), magnesium (Mg), sodium (Na), cation exchange capacity (CEC), base saturation (BS), and micronutrients (Fe, Zn, Cu, Mn).The dataset also includes field coordinates, sampling codes, land-use descriptions and date. The results were used to assess nutrient status, classify soil fertility levels, and support correlation and regression analyses related to potato yield and nutrient uptake.2. File StructureFile name: Fertility_Data_Tsangano_Angonia.xlsxThe Excel file contains four sheets:• Sheet 1 – Field_Information: Field codes, GPS coordinates (latitude, longitude), altitude, land use, and sampling date.• Sheet 2 – Chemical_Properties: Soil pH (H₂O, CaCl₂), EC, OC, OM, TN, C:N ratio, available P, exchangeable K, Ca, Mg, Na, CEC, BS, ESP, and micronutrients (Fe, Zn, Cu, Mn).• Sheet 3 – Physical_Properties: Soil texture (sand, silt, clay %).3. Variable Description and UnitsVariable Description UnitField_ID Sample or field code –Latitude / Longitude Geographic coordinates Decimal degreespH_H2O / pH_CaCl2 Soil pH measured in water or 0.01 M CaCl₂ –EC Electrical conductivity dS m⁻¹OC Organic carbon %OM Organic matter %TN Total nitrogen %C:N Carbon-to-nitrogen ratio –P Available phosphorus (Mehlich 1 or 3) mg kg⁻¹K, Ca, Mg, Na Exchangeable bases cmol(+) kg⁻¹CEC Cation exchange capacity cmol(+) kg⁻¹BS Base saturation %ESP Exchangeable sodium percentage %Fe, Zn, Cu, Mn Available micronutrients (DTPA extractable) mg kg⁻¹Sand, Silt, Clay Particle size fractions %4. MethodologySoil analyses followed standard laboratory methods:• pH: 1:2.5 soil:solution ratio• OC: Walkley–Black wet oxidation• TN: Kjeldahl digestion• Available P, K, Ca, Mg, Na: Mehlich extraction• Micronutrients: Mehlich extraction• CEC: Ammonium acetate method• Texture: Hydrometer method
Authors
- Sande, Tamara
0 Citations0 Mentions69% FAIR0.5 Dataset Index
10.17632/h5g7nx6899.12025