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Mar 5, 2024 -
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Plain Text - 139 B - SHA-256: 47e48c9e424a7efd6af54180768343c7395a8bef6076130fa33a09b3f2073e00
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Mar 5, 2024 -
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Plain Text - 8 B - SHA-256: 3436004aa6b55d0f7b2550ab22303e700e66c5468c7ac9e12463dc4ec02b64d4
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Mar 5, 2024 -
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Plain Text - 35 B - SHA-256: c87b40a2ef59bb9ce0b6b059307a84b7af8d45f974f55e49b52b0997dc087aab
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Mar 5, 2024 -
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Shell Script - 249 B - SHA-256: dcb869a961d0c6f7b8e1c113b3d9c6e31c2a523c8050d34f0d6edaa5220835f1
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Mar 5, 2024 -
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Python Source Code - 13.6 KB - SHA-256: 196539682c7e46bde372426d35e525e15f171afbbb191e9315628be1eb847ed3
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Oct 30, 2023
Pelser, Tristan; Patrick Kuckertz; Jann Michael Weinand; Detlef Stolten, 2023, "Literature Review Data for Accuracy and Reproducibility of Wind Potential Assessments", https://doi.org/10.26165/JUELICH-DATA/FXM9CB, Jülich DATA, V1
Data for literature review on large-scale Wind Potential Assessments from 2012-2022. Contains technical and content information relating to accuracy and reproduciblity. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Scie... |
Oct 30, 2023 -
Literature Review Data for Accuracy and Reproducibility of Wind Potential Assessments
MS Excel Spreadsheet - 129.3 KB - SHA-256: e447c666e21c7bf93708b4896ab4ac0b1d0e0a3bb41a0e76727a649bd8003766
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