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Particle size distribution data from Florida Bay, Everglades National Park, Florida - 2024 analyses of samples collected following Hurricane Irma (2017) (ver. 1.1, May 2025)

Metadata Updated: September 17, 2025

In January 2018, a U.S. Geological Survey (USGS) team collected short cores and surface samples from four islands in Florida Bay, Everglades National Park, south Florida (Wingard et al. 2019). The 2018 samples were collected approximately five months after the passage of Hurricane Irma on September 10, 2017, as a category 4 storm. The four islands had also been cored in 2014. The goal of the long-term study of these four islands is to examine the impacts of climate and sea level on island formation and resilience, and to provide insights into the stability of the south Florida coastline. The passage of Hurricane Irma provided an opportunity to sample sediments deposited by the storm surge. The particle size analysis (PSA) data presented here contain results from three types of samples: 1) a short core (20 cm) collected from the western-most of the four islands (Jim Foot Key); 2) surface samples, representing overwash deposits from the storm surge collected from the four islands (Jim Foot Key, Buttonwood Key #7, Bob Allen Key, and Russell Key); and 3) basin samples from Florida Bay mudbanks and deeper water surrounding the islands. The basin samples were collected in December 2020 for comparison to the storm deposits to investigate possible provenance. The three types of samples were photographed and described prior to splitting and/or subsampling for PSA, which was conducted using the Beckman Coulter LS 13 320 XR laser diffraction analyzer housed in the Bascom Laser Diffraction Sedimentology Laboratory in Reston, VA. The work described here is done in collaboration with Everglades National Park (Study #EVER-00617) and is funded by the Greater Everglades Priority Ecosystem Science program of the USGS. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Reference: Wingard, G.L., Bergstresser, S.E., Stackhouse, B.L., Jones, M.C., Marot, M.E., Hoefke, K., Daniels, A., and Keller, K. 2019. Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A. Estuaries and Coasts. https://doi.org/10.1007/s12237-019-00638-7 This Data Release was revised to v1.1 in May 2025 to include updated statistics data for laser diffractometry results contained therein. No other changes to the data release were made for v1.1.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 13, 2025
Metadata Updated Date September 17, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date September 17, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-66c7533fd34e0338828b3f56
Data Last Modified 2025-05-02T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id bc47878b-8ffd-41df-b1eb-148b30d6dedb
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -80.9000, 25.0000, -80.6000, 25.1000
Source Datajson Identifier True
Source Hash 36d05459ca904cae62c75fed5a6300a3ecc04ac5a6e723543bee04692b706e19
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -80.9000, 25.0000, -80.9000, 25.1000, -80.6000, 25.1000, -80.6000, 25.0000, -80.9000, 25.0000}

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