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Determinants of energy futures - a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

<p>Scenario discovery SAMBA data files:</p> <p>1) &nbsp;The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.<br> &nbsp;&nbsp; &nbsp;Each of these files has a code on top referring to the combination that it represents.<br> &nbsp;&nbsp; &nbsp;The key to the levers is in the Excel file &quot;Metafile&quot;. There the naming convention of technologies as well as corresponding&nbsp; combination for scenario are also available.<br> 2) &nbsp;The Access database Scenario_discovery_database.mbd contans results from the 324 runs.<br> &nbsp;&nbsp; &nbsp;The key to the scenarios are in the Excel file &quot;Metafile&quot; tab &quot;Scenario_key&quot;.<br> 3) &nbsp;The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.<br> 4) &nbsp;The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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