14:I[71133,["4507","static/chunks/e2799680-446c489506865058.js","7665","static/chunks/7665-81c5407bc4489ff9.js","8500","static/chunks/8500-e4dd1cb1bb626827.js","9753","static/chunks/9753-028c0a26aa71f2d4.js","8437","static/chunks/8437-a09d0b83fcec76af.js","4557","static/chunks/4557-64c5efa221bc528f.js","947","static/chunks/947-410627998426400f.js","5357","static/chunks/5357-6142894e88cb7da2.js","8382","static/chunks/app/dataset/%5Bid%5D/data/view/page-177ea8adea7aed86.js"],"default"] 15:T5ef,

Sampling Plan: Four sampling efforts were conducted (May 2023, August 2023, September 2023, October 2024), focusing on five stations located from Charlotte Harbor to the adjacent inner West Florida Shelf (WFS) system directly impacted by Hurricane Ian and the resulting plumes using Mote's R/V Mote (42 ft). At each station, water column CTD profiles of temperature, salinity, dissolved oxygen, and pH were made, and discrete surface and bottom water samples were collected by rosette-mounted Niskin bottles and analyzed for the parameters and rates listed in Table 1. Sample processing occurred on board or immediately after return to the laboratory. Net community production and oxygen utilization rates were calculated using observed O2 differences at hour intervals after air-sea O2 corrections (e.g., Wang et al. 2017). The balance between ecosystem respiration and production, the net community production, yielded a measure of the net autotrophic or heterotrophic ecosystem state (Hopkinson and Smith 2005). The carbonate and nutrient suite and rate process measurements (including uptake and regeneration rates) and direct measurements of organic matter respiration allowed an assessment of how nutrient availability and forms influence hypoxia and how hurricane inputs influence carbonate chemistry in this system, specifically the connection between acidification and hypoxia (e.g. O2 vs. pH relationships).

Analytical Methods: See Table 1 (supplemental file).

16:Ta44,This section documents curation actions performed prior to publication review with the submitter, and additional information relevant to understanding and reusing this dataset. It distinguishes changes made to the submitted (meta)data from unresolved issues and/or enhancements that improve future reuse and interoperability. CURATION ACTIONS PERFORMED ON DATA - Imported the original CSV file "Heil & Hall RAPID Chemical and BIological Data -FINAL as CSV.csv" into the BCO-DMO processing system. - Renamed columns via a series of regex substitutions to remove/replace special characters: spaces to underscores, commas removed, closing parentheses removed, opening parentheses removed, "@" replaced with "at", periods removed, "/" replaced with underscore, hyphens replaced with underscore, ">" replaced with "gt", "+" replaced with "plus". These are requirements of BCO-DMO's naming conventions. - Split column "Date_Collected_Time_Zone" into new columns "Date_Collected" and "Time_Zone", deleting the original input column. - Converted column "Date_Collected" from string format "%m/%d/%Y" to date type with output format "%Y-%m-%d". - Applied find/replace to column "Total_Karenia_species" to remove commas from numeric values. - Set data types for all columns. - Renamed column "Tital_Dinoflagellates" to "Total_Dinoflagellates". - Saved the final file in CSV format as "1003828_v1_chem_bio_post-ian.csv". CURATION ACTIONS PERFORMED ON METADATA - BCO-DMO's standard metadata entry and text formatting steps were performed. See: https://www.bco-dmo.org/how-to/standard-curation-edits ISSUES POTENTIALLY IMPACTING REUSE - Full citations were not provided for Solorzano & Sharp (1980) and VanHeukelem & Thomas (2001), which are cited in the Table 1 Supplemental File. - The data file includes two sets of coordinates (Latitude_1 and Longitude_1; and Latitude_2 and Longitude_2) containing slightly differing values. The source for each column is unknown, and it's not known why the values differ. - The columns "Phide_a" and "Chlide_a" are both defined as "HPLC Pigment - Chlorophyllide a". This is likely an error. Oftentimes, "Phide_a" is used to denote Pheophorbide a, but this has not been confirmed with the data submitter. - BCO-DMO generated the file "Table1.pdf" by extracting submitter-provided text from the metadata submission form and saving it in PDF format. This file has not been reviewed by the data submitter for accuracy. - This dataset has been published "as is". Final review by the data submitter was not received after the data were imported into the BCO-DMO data system.17:T631,This RAPID project, a collaboration between C. Heil and E. Hall (Mote Marine Laboratory) and P. Glibert and M. Li (University of Maryland Center for Environmental Science), examined the overarching hypothesis that the massive terrestrial inorganic and organic carbon and nutrient inputs to the southwest Florida coastal and shelf region from Hurricane Ian were priming this oligotrophic system for extensive phytoplankton blooms as well as significant changes in carbon chemistry and nutrient cycling that will lead to longer term regional hypoxia and anoxia. We measured a suite of water quality, carbon and nutrient parameters, as well as carbon and nutrient cycling at stations in Charlotte Harbor and the adjacent inner West Florida Shelf (WFS) system over four sampling efforts (May 2023, August 2023, September 2023, and October 2024) to examine how fast changes and recovery occurs in this system and the relationship of these hurricane inputs to hypoxia, anoxia, and ocean acidification. This dataset includes the chemical and biological data from surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida over the four sampling periods post-hurricane Ian, during 2023 and 2024. Data include net community production and oxygen utilization rates, carbonate and nutrient suite and rate process measurements (including uptake and regeneration rates), as well as direct measurements of organic matter respiration to understand how Hurricane Ian impacted biogeochemistry, blooms, and dissolved oxygen of the region.18:Te3a,NSF Award Abstract: Many coastal systems are facing the threats of continuing development and climate change, including an increased intensity of extreme weather events such as hurricanes. Such storms are now wetter than in prior years because warmer atmospheres hold more moisture. Thus, they release more rainfall and deliver more nutrients and organic matter to coastal areas. This, in turn, leads to phytoplankton blooms with potential for regional “dead zones” or areas with little or no dissolved oxygen. Hurricane Ian, a category 4 hurricane which hit southwest Florida in late September 2022, resulted in immense nutrient and organic carbon inputs to the coastal estuaries and southwest Florida shelf waters and presents an opportunity to examine the effects of a major storm disturbance on a coastal system that is under increasing coastal nutrient stress. The objective of this RAPID project is to examine carbon and nutrient cycling along a gradient of stations from the estuary to low-nutrient shelf waters to determine the rate of change and recovery in this system and the relationship of large hurricane inputs to hypoxia, anoxia, and ocean acidification. These data are being used to develop a regional model to predict the impact of future hurricanes on ocean acidification, phytoplankton blooms, and local hypoxia and anoxia. This study leverages ongoing monitoring programs funded by state and federal management agencies, as well as NSF-supported programs for undergraduate students. It provides partial support for training of postdoctoral investigators and a graduate student. Outreach will include presentations to elementary and high school students. In September 2022, southwest Florida experienced a direct hit from category-4 Hurricane Ian, resulting in extensive watershed flooding and nutrient- and dissolved-organic-matter-laden estuarine plumes extending more than 50 miles onto the shallow oligotrophic west Florida shelf (WFS). The massive terrestrial organic carbon and nutrient inputs to the southwest Florida coastal and shelf region may be priming this oligotrophic system for extensive phytoplankton blooms, as well as significant changes in carbon chemistry and nutrient cycling that could lead to longer-term regional hypoxia and anoxia. In this RAPID project, the investigators are measuring a suite of carbon and nutrient parameters, as well as carbon and nutrient cycling, at stations in Charlotte Harbor and the adjacent inner WFS system in December 2022, February 2023, and September 2023. The objectives are to assess: 1) a timescale of system responses from shorter (weeks to months) to 1-year impacts post-hurricane; 2) how nutrient availability and forms influence hypoxia; and 3) how hurricane-driven inputs influence carbonate chemistry in this system, specifically the connection between acidification and hypoxia. The investigators are using new data collected in this study and monitoring data from regional state and federal programs in a coupled hydrodynamic-biogeochemical model to understand conditions on the WFS. Hindcast simulations and modeling experiments are assessing how large inputs of nutrients and organic matter affect phytoplankton, oxygen conditions, and carbon chemistry. Modeling experiments are exploring how storms of varying wind and precipitation intensity affect the WFS and estuaries, identifying the tipping point at which the WFS switches from episodic to persistent hypoxia. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L14",null,{"dataset":{"_id":"1003828","description":"","problem":"See \"BCO-DMO Curation Notes\"","acquisition":"$15","processing":"","bcodmoProcessing":"$16","title":"Chemical and biological data collected for surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida over the four sampling periods post-hurricane Ian during 2023-2024","nickname":"Chemical and biological data post-hurricane Ian","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":false,"restricted":false,"version":"1","version_date":"2026-08-07T04:00:00.000Z","abstract":"$17","citation":"Heil, C., Hall, E., Glibert, P. A., Li, M. 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Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.","type_acronym":"Niskin bottle"}],"parameters":[{"_id":"1003899","name":"Sample_depth_surface_bottom","format":"","frictionlessType":"string","description":"

S=surface (Niskin bottle at surface), B=bottom (Niskin bottle 0.5 m above bottom), specific S and B depth for each station are in CTD DEPTH column

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depth; nominal

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Funding agency

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project designation; program name

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Station Identification

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unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

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Latitude

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latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"1003904","name":"Longitude_1","format":"","frictionlessType":"number","description":"

Longitude

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"1003906","name":"Date_Collected","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date (EDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"1003907","name":"Time_Zone","format":"","frictionlessType":"string","description":"

Time Zone

","units":{"_id":"","name":"unitless"},"type":{"_id":"1012","name":"time_zone","description":"

A geographic region throughout which the same standard time is used; may be denoted as the time offset from UTC/GMT or by the name or abbreviation of the time zone (e.g. EST/EDT, PST/PDT, etc.)

The GLOBEC research program denoted time zone in the Western Hemisphere as the number of hours added to local time to convert to GMT.

"}},{"_id":"1003908","name":"Tag_Number","format":"","frictionlessType":"integer","description":"

Mote internal ID number

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

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Ammonium

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"901","name":"Ammonium","description":"

Ammonium and ammonia concentration parameters in any body of fresh or salt water.

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Ammonium

","units":{"_id":"","name":"uM"},"type":{"_id":"901","name":"Ammonium","description":"

Ammonium and ammonia concentration parameters in any body of fresh or salt water.

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Nitrate + Nitrite

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"902","name":"NO3_NO2","description":"

Nitrate and Nitrite, µM (micromolar) or µg-at NO3-N and NO2-N/l

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Nitrate + Nitrite

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Nitrate and Nitrite, µM (micromolar) or µg-at NO3-N and NO2-N/l

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Particulate Nitrogen

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Organic plus inorganic particulate nitrogen

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Particulate Nitrogen

","units":{"_id":"","name":"uM"},"type":{"_id":"1912","name":"Total Particulate Nitrogen","description":"

Organic plus inorganic particulate nitrogen

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Total Dissolved Nitrogen

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The concentration of nitrogen (N) remaining in a seawater sample after all particulate nitrogen has been removed by filtration. See dataset for units (may be micromoles/kilogram or micromolar).

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Total Dissolved Nitrogen

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The concentration of nitrogen (N) remaining in a seawater sample after all particulate nitrogen has been removed by filtration. See dataset for units (may be micromoles/kilogram or micromolar).

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Orthophosphate

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Phosphate (PO43-)

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Orthophosphate

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Particulate Phosphorus

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Total Particulate Phosphorus

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Particulate Phosphorus

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Total Particulate Phosphorus

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Total Dissolved Phosphorus

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"1910","name":"Total Dissolved Phosphorus","description":"

The concentration of phosphorus remaining in a seawater sample after all particulate phosphorus has been removed by filtration.

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Total Dissolved Phosphorus

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The concentration of phosphorus remaining in a seawater sample after all particulate phosphorus has been removed by filtration.

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Silica (as SiO2, dissolved)

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Various units. Silica is typically analyzed as part of normal water quality analysis procedures. Silica levels are usually reported as mg SiO2 per Liter.

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Silica (as SiO2, dissolved)

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Particulate Silica

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Particulate Silica

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Particulate Silica

","units":{"_id":"","name":"uM"},"type":{"_id":"1919","name":"Particulate Silica","description":"

Particulate Silica

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dissolved organic carbon

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dissolved organic Carbon

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dissolved organic carbon

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dissolved organic Carbon

"}},{"_id":"1003929","name":"Carbon_Particulate_ug_L","format":"","frictionlessType":"integer","description":"

Particulate Carbon

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total particulate Carbon

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Particulate Carbon

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total particulate Carbon

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Colored Dissolved Organic Material Absorption at 280 nm

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