ArticleScientific data2025
Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Caravan-Qual: A global scale integration of stream water quality observations into a large-sample hydrology dataset.Scientific data · 2026Article
- A Comprehensive Water Chemistry Dataset for Iranian Rivers.Scientific data · 2025Article
- Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data.Scientific data · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (
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Registered trials
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