Description: GIS datasets were obtained from local, statewide, and nationwide data sources to identify critical and regionally significant assets located throughout Gadsden County. These available datasets were reviewed by a team of coastal engineers, water resource professionals, GIS analysts, and local government staff to verify potential data overlap and potential data gaps prior to analysis. All critical asset data were first organized by asset type and source within each of the four Statute required critical asset categories (Transportation, Critical Community and Emergency Facilities, Critical Infrastructure, and Natural Cultural and Historic Resources). Critical asset types that had multiple, qualifying datasets were analyzed spatially to determine areas of overlap, in order to identify and produce final primary and secondary source data layers that eliminated duplicate data. The final critical asset data were merged by GIS feature type (point, polyline, and polygon) to reduce the number of layers used as inputs in following geoprocessing tasks. The original attribute tables for the final, merged critical asset layers were simplified to retain only complete, pertinent fields and new attribute fields were added to enable more efficient querying, sorting, and analysis of the dataAsset_Cate = Critical Asset CategoryCrit_Asset = Critical Asset TypeLYR_Name = Critical Asset GIS Layer NameLYR_Source = Critical Asset GIS Layer SourceCounty_New = Florida County where Critical Asset ResidesOwnership = Critical Asset Ownership Type; Private or PublicDue to significant amounts of data and the mapping extents required to show the full County limits for statics maps in the Gadsden County Vulnerability Assesment report, two separate datasets were created, one for mapping and one for analysis. The analysis dataset joined critical asset point data that fell completely within 2020 parcel data (Source: FGDL) utilizing a spatial join. This step was necessary in order to better reflect potential impact when intersecting with flood scenario vector data. This dataset represents the polygon feature type of the analysis dataset.