20.500.12556/DiRROS-30628 Element concentration, stable and radioactive isotope data from multiple environmental matrices in two mid-sized Central-European river basins This article presents a comprehensive multi-matrix dataset collected to support the investigation and validation of catchment-scale contaminant transport processes using combined hydrochemical, multi-element, and isotopic approaches. The dataset was generated within a targeted monitoring program conducted in two medium-sized Central European catchments, the Koppány River (Hungary) and the Ledava River (Slovenia), both characterized by intensive agricultural land use, wastewater inputs, and erosion-sensitive conditions. The dataset integrates measurements from multiple environmental compartments, including precipitation, surface water, groundwater, wastewater, soil, riverbed sediment, and suspended particulate matter (SS). Sampling was designed to capture both baseflow conditions and hydrologically dynamic periods, with particular emphasis on high-flow events associated with enhanced erosion and material transport. River water samples were collected through a combination of grab sampling and flow-proportional automatic sampling, while suspended sediments were obtained using passive samplers during flood events. Soil and sediment samples were collected at representative locations and processed to fine fractions prior to analysis. The analytical data include conventional hydrochemical parameters (e.g. major ions, nutrients, pH, electrical conductivity, turbidity), alongside detailed multi-element composition comprising potentially toxic elements, rare earth elements, and geological normalizers. Elemental concentrations were determined using inductively coupled plasma mass spectrometry (ICP-MS) following microwave-assisted digestion or selective extraction procedures. In addition, isotope-based tracers were incorporated, including water stable isotopes (δ²H, δ¹⁸O), radioisotope data (e.g. 3H, 14C) indicating groundwater age information, and nitrate stable isotopes (δ¹⁵NNO3, δ¹⁵ONO3), enabling the characterization of hydrological pathways and nutrient sources. The dataset combines newly acquired measurements with pre-existing hydrological, hydrochemical, and land use data into a harmonized database structure. This integration enables the comparison of elemental and isotopic signatures across environmental matrices and hydrological conditions, supporting applications such as source characterization, assessment of particulate and dissolved transport processes, and evaluation of hydrological flow components. The data are provided with detailed metadata on sampling conditions, analytical procedures, and quality control, including the use of certified reference materials and replicate analyses. Limitations related to incomplete parameter coverage, variable hydrological data availability, and missing metadata for a subset of groundwater samples are documented. This dataset provides a consistent, multi-tracer observational basis for the analysis of contaminant transport processes in agriculturally impacted catchments and for the evaluation of catchment-scale modelling approaches. Ledava river basin Koppány river basin dataset porečje Ledave porečje Koppány podatkovni set true false true Elsevier Nizozemska Angleški jezik Slovenski jezik Srednja Evropa; © 2026 The Authors. Neznano 2026-06-30 11:12:50 2026-06-30 11:12:50 2026-07-01 03:56:03 0000-00-00 00:00:00 2026 0 0 Nasl. z nasl. zaslona; Soavtorji iz Slovenije: Radmila Milačič Ščančar, Janez Ščančar, Miroslav Štrbac, Katarina Kozlica, Polona Vreča, Klara Žagar, Sonja Lojen; Opis vira z dne 30. 6. 2026; str. 1-13 Vol. 67, [article no.] 112955 Aug. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2026-05-06 2026-06-08 2026-06-11 543 2352-3409 10.1016/j.dib.2026.112955 283045379 https://www.sciencedirect.com/science/article/pii/S2352340926005056?via%3Dihub 1 e1369164-7463-11f1-9c8b-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=46635 RAZ_Kardos_Mate_Krisztian_2026.pdf RAZ_Kardos_Mate_Krisztian_2026.pdf 1 A001CF88D73369CA6062532C3225AC0C 077075e3cf7cb99c5c6aa7782892bf2f8c41fc03401828cf6aea6a4eb0a1ba84 81a8b156-7464-11f1-9c8b-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=46636 Institut Jožef Stefan 0 0 0