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a Python package which can be used to infer emissions from other emissions data.\nIt is intended to 'infill' integrated assessment model (IAM) data so that their scenarios\nquantify more climate-relevant emissions than are natively reported by the IAMs themselves.\nIt does this by comparing the incomplete emissions set to complete data from other sources.\nIt uses the relationships within the complete data to make informed infilling estimates of\notherwise missing emissions timeseries.\nFor example, it can add emissions of aerosol precurors based on carbon dioxide emissions\nand infill nitrous oxide emissions based on methane, or split HFC emissions pathways into\nemissions of different specific HFC gases.\n\n\n.. sec-end-index\n\nLicense\n-------\n\n.. sec-begin-license\n\nSilicone is free software under a BSD 3-Clause License, see\n`LICENSE \u003chttps://github.com/GranthamImperial/silicone/blob/master/LICENSE\u003e`_.\n\n.. sec-end-license\n\n.. sec-begin-funders\n\nFunders\n-------\nThis project has received funding from the European Union Horizon 2020 research and\ninnovation programme under grant agreement No 820829 (CONSTRAIN) and No 641816 (CRESCENDO).\n\n.. sec-end-funders\n.. sec-end-long-description\n\n.. sec-begin-installation\n\nInstallation\n------------\n\nSilicone can be installed with pip\n\n.. code:: bash\n\n    pip install silicone\n\nIf you also want to run the example notebooks, install additional\ndependencies using\n\n.. code:: bash\n\n    pip install silicone[notebooks]\n\n**Coming soon** Silicone can also be installed with conda\n\n.. code:: bash\n\n    conda install -c conda-forge silicone\n\n.. sec-end-installation\n\nDocumentation\n-------------\n\nDocumentation can be found at our `documentation pages \u003chttps://silicone.readthedocs.io/en/latest/\u003e`_\n(we are thankful to `Read the Docs \u003chttps://readthedocs.org/\u003e`_ for hosting us).\n\nContributing\n------------\n\nPlease see the 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