2025/07/23 by Thiago Victor Medeiros do Nascimento, Marvin Höge, Ursula Schönenberger +10 · 1 voice · 1 citation
Earth and Planetary Sciences · Environmental Science · #Algorithm #Computer science #Groundwater and Isotope Geochemistry #Hydrology and Watershed Management Studies #Water Quality and Pollution Assessment
paper · pdf · doi:10.1038/s41597-025-05625-1
openalex publication_date 2025/07/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
Abstract Despite the growth of large-sample hydrology (LSH) datasets, water quality data remain scarce. Here, we introduce CAMELS-CH-Chem, an extension of CAMELS-CH (Catchment Attributes and Meteorology for Large-sample Studies in Switzerland), incorporating up to 40 water quality parameters for 115 Swiss catchments from 1981 to 2020. The dataset includes hourly and daily time series of measurements of water temperature, dissolved oxygen, pH, and electrical conductivity; as well as (bi)monthly measurements of dissolved organic carbon (DOC), total organic carbon (TOC), alkalinity ( \bfHCO_\bf4^- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>HCO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> <mml:mrow> <mml:mi>−</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ), ammonium ( \bfNH_\bf4+ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>NH</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>+</mml:mo> </mml:mrow> </mml:msubsup> </mml:math> ), \bfNO_\bf3^- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>NO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>3</mml:mn> </mml:mrow> <mml:mrow> <mml:mi>−</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , \bfNO_\bf2^- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>NO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> <mml:mrow> <mml:mi>−</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , total nitrogen, dissolved reactive phosphorus, total filtered phosphorus, total phosphorus, Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl⁻, \bfSO_\bf4^\bf2- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>SO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> <mml:mi>−</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , H 4 SiO 4 , \bfSO_\bf4^\bf2- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mrow> <mml:mi>SO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> <mml:mi>−</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> , total hardness, and stream water isotopes. In addition, we provide catchment aggregated (bi)monthly time series of precipitation water isotopes, along with annual resolution data on land cover including specific agricultural information (crop types and livestock density), and atmospheric nitrogen deposition. This comprehensive dataset enables broader integration of water quality into LSH research and will support new insights specifically in the field of hydrological and biogeochemical modelling.