RECOMMENDED README FILE
This readme.txt file was generated on <20250217> by <David Domínguez Villar>
GENERAL INFORMATION
1. Title of Dataset:Research data of the manuscript by Matan et al.
2. Authorship: 
Name: Katarina Matan
Institution:University of Zagreb
Email: kmatan@agr.hr
ORCID: 0009-0001-6902-6220

Name: Kristina Krklec
Institution:University of Salamanca
Email: krklec@usal.es
ORCID: 0000-0003-1747-2883

Name: Aleksandra Bensa
Institution:University of Zagreb
Email: abensa@agr.hr
ORCID: 0000-0001-5576-5324

Name: David Domínguez-Villar
Institution:University of Salamanca
Email: ddvillar@usal.es
ORCID: 0000-0002-4730-6053

DESCRIPTION
1. Dataset language: english
2. Abstract: In this file we provide the data requried to reproduce all figures that contain quantitative data of the paper entitled "Simulation of soil water content in clayey soils where dissolution and precipitation of pedogenic carbonates impact the accuracy of sensors measuring soil water content" authored by Katarina Matan, Kristina Krklec, Aleksandra Bensa and David Domínguez-Villar. Data for every figure is reported in different tabs. 
3. Keywords: Karst; modeling; FDR sensors; Terra Rossa; Croatia
4. Date of data collection: 20200101-20220101
5. Date of dataset publication: 20250217
6. Funding: Research project “Inter-comparison of karst denudation measurement methods” (KADEME, IP-2018-01-7080) funded by the Croatian Science Foundation. K.M. received funds from the Croatian Science Foundation via the program “Young Researchers’ Career Development Project – Training New Doctoral Students” (DOK-2021-02-1788)
7. Geographic location/s of data collection: 43°47’39'' N, 16°00'08'' E
ACCESS INFORMATION
1. Dataset Creative Commons License: 4.0 CC-BY-NC-ND
2. Dataset DOI:http://hdl.handle.net/10366/163754
3. Related publication: Submitted manuscript: Matan, K, Krlec, K., Bensa, A. y Domínguez-Vilar, D. Simulation of soil water content in clayey soils where dissolution and precipitation of pedogenic carbonates impact the accuracy of sensors measuring soil water content
METHODOLOGICAL INFORMATION
1. Description of methods used for collection-generation of data: Data was collected using FDR sensors in the soil to measure soil water content, temperature and bulk electrical conductivity. Meteorological data was also usedfrom a station 1 km away from the soil. The 1-D soil hydrological simulation uses the model by Svob et al., 2022 (Journal of Hydrology 612B:128147).   
FILE OVERVIEW
1. File List: Research data of the manuscript by Matan et al..xlsx

DATA-SPECIFIC INFORMATION
1. Attibutes of nodes:

The "Fig 3" tab contains the data requred to reproduce the figure 3. The acronym SWC refers to soil water content measured at 0.1 m, 0.2 m, 0.3 m, 0.4 m, and 0.5 m along the soil profile. These values are expressed in cubic meters per cubic meter (m³/m³). In addition, the data includes atmospheric temperature values, measured in degrees Celsius (°C), as well as precipitation data, recorded in millimeters (mm). 

The "Fig 4" tab contains the data used for producing the figure 4, which compares the bulk electrical conductivity (BEC) values at depths of 0.2 m and 0.5 m with the soil water content (SWC) data at the same respective depths along with the atmospheric temperature values. The BEC values are expressed in microsiemens per centimeter (µS/cm), the SWC values are expressed in millimeters (mm), while the temperature is expressed in degrees Celsius (°C).

The "Fig 5" tab contains data that shows the ratio of evapotranspiration across the different depths, ranging from 0.05 m to 0.5 m.

The "Fig 6" tab contains data on soil water content (SWC) measured at various depths (0.1 m, 0.2 m, 0.3 m, 0.4 m, and 0.5 m), expressed in millimeters (mm). Additionally, it includes the corrected SWC measurements for the same depths, also expressed in millimeters (mm).

The "Fig 7" tab contains data for each layer of the simulation, from the boundary layer 0 (0-5 cm) to layer 10 (50-55 cm). The data for each layer are expressed in millimeters (mm). 

The "Fig 8" tab contains data of recharge and precipitation, both expressed in millimeters (mm), for the two-year simulation period (2020-2022).