There is a new version available (link here) with longer time series, extended gauge coverage and data from additional sources. This is the CAMELS-BR dataset (Catchment Attributes and MEteorology for Large-sample Studies - Brazil) accompanying the paper: Chagas et al., Hydrometeorological time series and landscape attributes for 897 catchments in Brazil, Earth System Science Data, 2020 (https://doi.org/10.5194/essd-12-2075-2020). CAMELS-BR provides daily observed streamflow time series for 3679 stream gauges, daily meteorological time series and 65 attributes for 897 selected catchments in Brazil. The daily hydrometeorological time series include (i) observed streamflow accompanied by quality control information, (ii) precipitation extracted from three global products, (iii) actual evapotranspiration, (iv) potential evapotranspiration, and (v) minimum, average, and maximum temperature. The 65 catchment attributes cover properties such as (i) topography, (ii) climate, (iii) hydrology, (iv) land cover, (v) geology, (vi) soil, and (vii) human intervention. The data follow the same standards from the other CAMELS datasets for the United States (https://doi.org/10.5194/hess-21-5293-2017), Chile (https://doi.org/10.5194/hess-22-5817-2018), and Great Britain (https://doi.org/10.5194/essd-2020-49).