Automated Author ProfileMleczak, Mateusz
Adam Mickiewicz University, Poznań
Mleczak, Mateusz
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data were collected on fields located in five settlements near Poznań, western Poland. The monitoring period of soil surface roughness included four seasons over a two-year period: early spring 2017, 2018, and late summer/early autumn 2017, 2018. Soil samples were also taken at this time to determine post-treatment soil moisture levels. Also, one-time soil samples were taken in the first year of research to determine physical and physicochemical soil properties. An explanation of the table column names: “field” - Abbreviation of the field where research was carried out in individual settlements. The total number of selected arable fields was 18. “subfield” - It is a marking of a specific place in the field where the research was conducted. Due to the variation of soil properties within individual fields, soil roughness was tested on selected test areas. “dd” – Day of data collection. “mm” - Month of data collection. “practise” - The type of tillage tool after which the soil surface roughness was recorded. “HSD” - Height Standard Deviation is a surface roughness index that was calculated from DEM (Digital Elevation Model) and expressed in millimeters. “T3D” - Tortuosity index is the second surface roughness index that was calculated from DEM. It expresses the ratio between the true surface of DEM and its flat horizontal area. “granulometric_group” - Name of the granulometric group to which soil samples were classified. Soil texture was determined by the hydrometer method according to standard PN-R-04032. “sand” - Sand content in the soil sample in %. “silt” – Silt content in the soil sample in %. “clay” – Clay content in the soil sample in %. “moisture” - The moisture level of the soil sample. Gravimetric water content was determined by the gravimetric method with oven drying. “p_hwater” - The pH of the soil sample determined in water. The soil pH was determined by the potentiometry method. “p_hkcl” – The pH of the soil sample determined in KCl. The soil pH was determined by the potentiometry method. “SOC” – Organic matter content in soil was determined by oxidation titration using K2Cr2O7 with H2SO4 on the block mineralization. “calcium_carbonate” – Calcium carbonate content in soil was obtained using the volumetric Scheibler method. “iron_oxide” –Iron oxide content in the soil.
Authors
- Herodowicz-Mleczak, Karolina ;
- Piekarczyk, Jan ;
- Kaźmierowski, Cezary ;
- Nowosad, Jakub ;
- Mleczak, Mateusz
The data were collected on fields located in five settlements near Poznań, western Poland. The monitoring period of soil surface roughness included four seasons over a two-year period: early spring 2017, 2018, and late summer/early autumn 2017, 2018. Soil samples were also taken at this time to determine post-treatment soil moisture levels. Also, one-time soil samples were taken in the first year of research to determine physical and physicochemical soil properties. An explanation of the table column names: “field” - Abbreviation of the field where research was carried out in individual settlements. The total number of selected arable fields was 18. “subfield” - It is a marking of a specific place in the field where the research was conducted. Due to the variation of soil properties within individual fields, soil roughness was tested on selected test areas. “dd” – Day of data collection. “mm” - Month of data collection. “practise” - The type of tillage tool after which the soil surface roughness was recorded. “HSD” - Height Standard Deviation is a surface roughness index that was calculated from DEM (Digital Elevation Model) and expressed in millimeters. “T3D” - Tortuosity index is the second surface roughness index that was calculated from DEM. It expresses the ratio between the true surface of DEM and its flat horizontal area. “granulometric_group” - Name of the granulometric group to which soil samples were classified. Soil texture was determined by the hydrometer method according to standard PN-R-04032. “sand” - Sand content in the soil sample in %. “silt” – Silt content in the soil sample in %. “clay” – Clay content in the soil sample in %. “moisture” - The moisture level of the soil sample. Gravimetric water content was determined by the gravimetric method with oven drying. “p_hwater” - The pH of the soil sample determined in water. The soil pH was determined by the potentiometry method. “p_hkcl” – The pH of the soil sample determined in KCl. The soil pH was determined by the potentiometry method. “SOC” – Organic matter content in soil was determined by oxidation titration using K2Cr2O7 with H2SO4 on the block mineralization. “calcium_carbonate” – Calcium carbonate content in soil was obtained using the volumetric Scheibler method. “iron_oxide” –Iron oxide content in the soil.
Authors
- Herodowicz-Mleczak, Karolina ;
- Piekarczyk, Jan ;
- Kaźmierowski, Cezary ;
- Nowosad, Jakub ;
- Mleczak, Mateusz