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Meteorology\nfor Large-sample Studies (CAMELS) dataset. This package only provides simplified\naccess to the data in Python, the actual work of generating the dataset has been\ndone by Andrew Newman and colleagues  at NCAR and is described in the following\narticle:\n\n[A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A\nlarge-sample watershed-scale hydrometeorological dataset for the contiguous USA.\nBoulder, CO: UCAR/NCAR](https://dx.doi.org/10.5065/D6MW2F4D)\n\n## Usage\n\n### Pytorch\n\n```\nfrom camels.pytorch import Streamflow\ngauge_id = 13331500\n\ntraining_data = Streamflow(gauge_id, \"training\")\nvalidation_data = Streamflow(gauge_id, \"validation\")\ntest_data = Streamflow(gauge_id, \"testing\")\n```\n\n![Overview of gauges in dataset](misc/overview.png)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonpf%2Fcamels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsimonpf%2Fcamels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsimonpf%2Fcamels/lists"}