The DROMEDARY US dataset is a publicly accessible collection that encompasses 3,246 basins throughout the contiguous United States. It includes several datasets: the Gages II dataset (Falcone, 2011), the Cropland Data Layer from the CropScape web platform (Han et al., 2012), meteorological data from the Daymet dataset (Thornton et al., 2021), and streamflow data published by the USGS, accessible via their data retrieval tool (De Cicco et al., 2018).

This dataset was created to train Long Short-Term Memory (LSTM) neural networks to predict daily streamflow time series at the outlets of these basins. It aims to provide a comprehensive sample of basins across various hydroclimatological contexts in the US, including those that have undergone significant changes in land use and land cover.

The dataset is divided into static attributes and time series. The time series are stored in .nc files, with the 3,246 .nc files compressed into an archive that is split into three parts to facilitate uploading.

More details are provided in the article: "Using Long Short-Term Memory Neural Networks to Assess Streamflow Alteration from Land-Use and Land Cover Changes: Application to Fallowed Land Across the United States" by Baptiste Francois, Samson Zhilyaev and Casey Brown, which was submitted to Water Resources Research journal. The full reference of the article will be updated once/if it gets accepted for publication.

Falcone, J., 2011. GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow. Reston, VA. https://doi.org/10.3133/70046617

De Cicco, L.A., Hirsch, R.M., Lorenz, D., Watkins, D., Johnson, M., 2024. dataRetrieval: R packages for discovering and retrieving water data available from Federal hydrologic web services, v.2.7.15. https://doi.org/10.5066/P9X4L3GE

Thornton, P.E., Shrestha, R., Thornton, M., Kao, S.-C., Wei, Y., Wilson, B.E., 2021. Gridded daily weather data for North America with comprehensive uncertainty quantification. Sci. Data 8, 190. https://doi.org/10.1038/s41597-021-00973-0

Han, W., Yang, Z., Di, L., Mueller, R., 2012. CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support. Comput. Electron. Agric. 84, 111–123. https://doi.org/10.1016/j.compag.2012.03.005