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Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the [OnSSET_GIS_Extraction_notebook repository](https://github.com/OnSSET/OnSSET_GIS_Extraction_notebook).\n\nNext, run the *Calibration.ipynb* to calibrate the start year information.\n\nFinally, run the *OnSSET_Scenarios.ipynb*, or the *OnSSET_Scenarios_MultipleTimeSteps.ipynb* if you want to run the code in multiple time-steps.\n\n## Installation\n\nOnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE.\nIt is recommended to install OnSSET using Anaconda. \n\n### Install with the yml-file\n\n1. Download or clone the repository.\n\n2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.\n\n3. Install all the packages required in a new environment called \"OnSSET\" using: \n\n```\nconda env create -n OnSSET -f onsset_env.yml\n```\n4. Activate the environment using:\n```\nconda activate OnSSET\n```\n5. Finally, to run OnSSET using Jupyter Notebook, run the following command:\n```\njupyter notebook\n```\n   \n\n## Contact\nFor more information regarding the tool, its functionality and implementation\nplease visit OnSSET on LinkedIn or go to the [OnSSET forum](https://www.linkedin.com/company/onsset-open-source-spatial-electrification-tool/](https://forum.u4ria.org/c/onsset/)).\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["archiving","measur","transforms","optimize","observation","conversion","generic","compose","animals","projection"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/19951","html_url":"https://ost.ecosyste.ms/projects/19951"}