Replication Data for: A Self-Calibrated Effective Drought Index (scEDI): Evaluation against Social Drought Impact Records over the Korean Peninsula (1777-2020)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'V2.0: Debugged the calculation of standardization of DEP when time-varying summation dates are used.NOTE: The observational data should be longer than 30 years and the first date should be January, 1.The 1777-2020 daily precipitation data at the Seoul KMA station in the southern Korean Peninsula (.txt) and python code for self-calibrating Effective Drought Index (.py)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["drought"]} <|eot_id|>
 Here is the Description of a dataset. Description:'V2.0: Debugged the calculation of standardization of DEP when time-varying summation dates are used.NOTE: The observational data should be longer than 30 years and the first date should be January, 1.The 1777-2020 daily precipitation data at the Seoul KMA station in the southern Korean Peninsula (.txt) and python code for self-calibrating Effective Drought Index (.py)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
V2.0: Debugged the calculation of standardization of DEP when time-varying summation dates are used.NOTE: The observational data should be longer than 30 years and the first date should be January, 1.The 1777-2020 daily precipitation data at the Seoul KMA station in the southern Korean Peninsula (.txt) and python code for self-calibrating Effective Drought Index (.py)
drought