{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T21:02:18Z","timestamp":1760821338343,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T00:00:00Z","timestamp":1653523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000192","name":"National Oceanic and Atmospheric Administration (NOAA)","doi-asserted-by":"publisher","award":["NA10NOS4780146","NA16NOS4780208","NA16SEC4810009"],"award-info":[{"award-number":["NA10NOS4780146","NA16NOS4780208","NA16SEC4810009"]}],"id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Storm surge flooding can cause significant damage to coastal communities. In addition, coastal communities face an increased risk of coastal hazards due to sea-level rise (SLR). This research developed a dataset to communicate the socioeconomic consequences of flooding within the 1% and 0.2% Annual Exceedance Probability Floodplain (AEP) under four SLR scenarios for the Northern Gulf of Mexico region. Assessment methods primarily used HAZUS-MH software, a GIS-based modeling tool developed by the Federal Emergency Management Agency in the United States, to estimate natural disasters\u2019 physical, economic, and social impacts. This dataset consists of 29 shapefiles containing seven different measures of storm surge inundation impacts under SLR (including building damage, displaced people and shelter needs, road exposure, essential facilities, wastewater treatment plants, bridges, and vehicle damage). The data is publicly available under the Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC).<\/jats:p>","DOI":"10.3390\/data7060071","type":"journal-article","created":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T08:50:22Z","timestamp":1653555022000},"page":"71","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Socioeconomic Dataset of the Risk Associated with the 1% and 0.2% Return Period Stillwater Flood Elevation under Sea-Level Rise for the Northern Gulf of Mexico"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5309-2899","authenticated-orcid":false,"given":"Diana","family":"Del Angel","sequence":"first","affiliation":[{"name":"Harte Research Institute for Gulf of Mexico Studies, Texas A&M University\u2014Corpus Christi, Corpus Christi, TX 78412, USA"}]},{"given":"David","family":"Yoskowitz","sequence":"additional","affiliation":[{"name":"Harte Research Institute for Gulf of Mexico Studies, Texas A&M University\u2014Corpus Christi, Corpus Christi, TX 78412, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7697-7403","authenticated-orcid":false,"given":"Matthew","family":"Bilskie","sequence":"additional","affiliation":[{"name":"School of Environmental, Civil, Agricultural, and Mechanical Engineering, University of Georgia, Athens, GA 30602, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8370-9450","authenticated-orcid":false,"given":"Scott","family":"Hagen","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA"},{"name":"Center for Computation and Technology (CCT), Louisiana State University, Baton Rouge, LA 70808, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,26]]},"reference":[{"key":"ref_1","unstructured":"WMO (2021). 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