Dataset of inputs and outputs with survey, web scrapping, HEC-RAS model and economic loss flood model from the In-Depth PROFILE Framework Applied to Navaluenga

This dataset contains the full data related with the aplication of the In-Depht PROFILE framework to Navaluenga, central Spain. This includess both the input and the output data. The input data include the cleaned survey done building-by-building and face-to-face, the webscraping price outpus, all the inputs used to build the hydraulic HEC-RAS 2D model including the digital msourface model corrected with geoestatistics, and the economic flood loss model outputs both raw and processed. This data is related with the In-Depht PROFILE framework also in Zenodo.

 

The data has been compresed in 81 parts of 1 Gb. All must be uncompressed together. Once the data is uncompressed the total size is 166 GB. Data format are gis related (.shp, .tif, ...), HEC-RAS related (.prj, .u01, ...), python related (.pkl, .ipc, ...) and end-user friendly (.xlsx). Particularlly the complete results fromt the economic flood loss monte carlo model has been partially converted into an .xlsx to allow fast and easy overview of the results. However, compled data must be accesed using Python (mocaloss library is recommended).

└── data/                                                <- Economic flood loss model-related data

      ├── inputs/                                       <- Generated input data

      │     ├── gis/                                     <- Gis related data (HEC-RAS, buildings, geostatistic...)

      │     └──Survey.xlsx                          <- Survey data cleaned

      ├── intermediate/                            <- Data processed with the framework

      └── mocaloss/                                 <- Output data from mocaloss library