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:T4e5,

Sampling Plan: Four sampling efforts were conducted (May 2023, August 2023, September 2023, October 2024; note CTD data are not reported from 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 by lowering the CTD to 5 centimeters (cm) below the water surface and allowing to equilibrate for 2 minutes, then lowering the CTD to 0.5 meters (m) above the bottom. Discrete surface and bottom water samples were collected by Niskin bottles during each cast and analyzed for the biological and chemical parameters and rates listed in the accompanying dataset. CTD data were downloaded immediately upon return to the laboratory each day and data were processed within one week of collection (Seasoft V2 2018).

A Sea-Bird CTD unit was used for measurements of Conductivity, Temperature, and Depth. Specific instruments used were:
Seabird 19 plus v2;
43 oxygen sensor,
18 ph sensor;
Par sensor logic;
Eco flurnet puck;
55 controller.

16:T5d9,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 data from the original file "RAPID Cruise CTD data -all samples, all stations combined as CSV.csv" into the BCO-DMO processing system. - Marked "-9.99E-29" as a missing data value (missing values are empty/blank in the final CSV file). - Renamed columns to comply with BCO-DMO naming conventions. - Converted local date/time columns into a UTC ISO 8601 datetime column "ISO_DateTime_UTC", applying a fixed US/Eastern (EDT) input timezone offset because all observed timezone labels were EDT. - Converted the same local date/time columns into a local ISO 8601 datetime column "ISO_DateTime_Local" without timezone conversion. - Removed the original separate date and time columns. - Saved the final file as "1004016_v1_ctd.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 - 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:T555,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 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 CTD data collected on the RV Mote from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida over three of the sampling periods post-hurricane Ian (May 2023, August 2023, and September 2023). These data contribute to the understanding of 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":"1004016","description":"","problem":"Note that while four sampling efforts were conducted (May 2023, August 2023, September 2023, October 2024), CTD data are not reported from 2024.","acquisition":"$15","processing":"

CTD data were processed using SBEData Processing software (Seasoft V2, 2018), following the software recommendations for compensating for sensor thermal mass, sensor alignment, timing offset (the delay associated with pumped sensors, i.e., conductivity), and changes in instrument velocity (due to ship heave). Data were binned (~0.2 m increments) to smooth data variability and downloaded to Excel.

\n","bcodmoProcessing":"$16","title":"CTD data collected for surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida from May to September 2023","nickname":"CTD data post-hurricane Ian","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":false,"restricted":false,"version":"1","version_date":"2026-08-06T04:00:00.000Z","abstract":"$17","citation":"Heil, C., Hall, E., Glibert, P. A., Li, M. (2026) CTD data collected for surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida from May to September 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-08-06 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1004016.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.1004016.1","versionDate":"2026-08-06","versionId":"1","year":"2026","title":"CTD data collected for surface and bottom samples from all five stations along the transect from Charlotte Harbor to offshore in southwest Florida from May to September 2023","authors":"Heil, C., Hall, E., Glibert, P. A., Li, M.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.1004016.1","release_date":null,"field_dataset_location":"Southwest Florida coastal waters","temporal_extent":{"start":"2023-05-02T04:00:00.000Z","end":"2023-09-07T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1683000000","label":"2023-05-02"},"end":{"value":"1694059200","label":"2023-09-07"}},"spatial_extent":{"shape":"polygon","center":{"latitude":26.707990000002,"longitude":-82.291400000008},"wkt":"POLYGON ((-82.4424 26.5107, -82.1404 26.5107, -82.1404 26.90528, -82.4424 26.90528, -82.4424 26.5107))","north":26.90528,"east":-82.1404,"south":26.5107,"west":-82.4424},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"1008259","title":"1004016_v1_ctd.csv","url":"https://datadocs.bco-dmo.org/dataset/1004016/file/l8Boo7RCkxmg52/1004016_v1_ctd.csv","showTableUrl":"https://www.bco-dmo.org/dataset/1004016/data/view/1008259","description":"Primary data file for dataset ID 1004016, version 1","filename":"1004016_v1_ctd.csv","bytesize":124560,"checksum":{"value":"6a5467a1904b0837fb27cfbc075bfc3d","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_1004016_v1","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"916377","name":"Cynthia Heil"},"performedAtOrganization":{"_id":"555868","name":"Mote Marine Laboratory"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"50951","name":"Patricia A. Glibert"},"performedAtOrganization":{"_id":"118","name":"University of Maryland Center for Environmental Science"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"916379","name":"Emily Hall"},"performedAtOrganization":{"_id":"555868","name":"Mote Marine Laboratory"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"491323","name":"Ming Li"},"performedAtOrganization":{"_id":"118","name":"University of Maryland Center for Environmental Science"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"916374","name":"OCE-2309081","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2309081"}],"instruments":[{"_id":"1004042","name":"Par sensor logic","description":"","type_id":"439","type_name":"Photosynthetically Available Radiation Sensor","type_desc":"A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known.","type_acronym":"PAR sensor"},{"_id":"1004041","name":"18 ph sensor","description":"","type_id":"1004039","type_name":"Sea-Bird SBE 18 pH Sensor","type_desc":"A pH sensor using a pressure-balanced glass-electrode Ag_AgCl-reference pH probe to provide in-situ measurements at depths up to 1200m. The replaceable pH probe is permanently sealed and is supplied with a soaker bottle attachment that prevents the reference electrode from drying out during storage.","type_acronym":"SBE 18 pH"},{"_id":"1004037","name":"Seabird 19 plus v2","description":"","type_id":"895522","type_name":"Sea-Bird SBE 19plus V2 SEACAT CTD","type_desc":"Self-contained self-powered CTD profiler. Measures conductivity, temperature and pressure (Digiquartz sensor) in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Miniature submersible pump provides water to the conductivity cell. Compared to the previous 19plus, the V2 incorporates an electronics upgrade and additional features, with six differentially amplified A/D input channels, one RS-232 data input channel, and 64 MB FLASH memory.","type_acronym":"Sea-Bird SEACAT 19 Plus V2"},{"_id":"1004038","name":"43 oxygen sensor","description":"","type_id":"552","type_name":"Sea-Bird SBE 43 Dissolved Oxygen Sensor","type_desc":"The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. More information from the manufacturer: https://www.seabird.com/products/sbe-43-dissolved-oxygen-sensor","type_acronym":"SBE-43 DO"},{"_id":"1004043","name":"Eco flurnet puck","description":"","type_id":"829841","type_name":"Wet Labs ECO Puck","type_desc":"The Puck is a miniature version of the ECO series of sensors, specifically designed for use in AUVs, profiling floats, and Slocum gliders with a dry science bay. This compact optical sensor is available in combinations of backscattering and fluorescence measurements.","type_acronym":""}],"parameters":[{"_id":"1004119","name":"Cruise","format":"","frictionlessType":"string","description":"

Cruise ID number

","units":{"_id":"","name":"unitless"},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"1004120","name":"Station","format":"","frictionlessType":"string","description":"

Station number

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"1004121","name":"Scan","format":"","frictionlessType":"integer","description":"

Scan Length

","units":{"_id":"","name":"unitless"},"type":{"_id":"1807","name":"scan","description":"

Reported with CTD data, refers to CTD scan number

"}},{"_id":"1004122","name":"ISO_DateTime_UTC","format":"%Y-%m-%dT%H:%M:%SZ","frictionlessType":"datetime","description":"

Date and time (UTC) in ISO 8601 format

","units":{"_id":"","name":"unitless"},"type":{"_id":"1908","name":"ISO_DateTime_UTC","description":"

Date/Time (UTC) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Sample ISO_datetime_utc:
\n2009-08-30T14:05:00[.xx]Z (UTC time)

Format: YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)

"}},{"_id":"1004124","name":"ISO_DateTime_Local","format":"%Y-%m-%dT%H:%M","frictionlessType":"datetime","description":"

Date and time (local, EDT) in ISO 8601 format

","units":{"_id":"","name":"unitless"},"type":{"_id":"1909","name":"ISO_DateTime_Local","description":"

Date/Time (Local) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\nYYYY-MM-DDTHH:MM:SS[.xx]
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Note the Time Zone (TZ) as +/-HH:MM
\nTime Zone signage is for conversion from local to UTC
\nWest Coast USA in summer is +7 (add 7 hrs to local time for UTC)

"}},{"_id":"1004125","name":"PrdM","format":"","frictionlessType":"number","description":"

Pressure, Strain Gauge

","units":{"_id":"","name":"db"},"type":{"_id":"732","name":"pressure","description":"

water pressure at measurement; depth reported as pressure; positive number increasing with water depth

"}},{"_id":"1004126","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

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

"}},{"_id":"1004128","name":"Longitude","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":"1004130","name":"DNMEA","format":"","frictionlessType":"number","description":"

Depth, from NMEA navigational device

","units":{"_id":"","name":"meters"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"1004131","name":"Tv290C","format":"","frictionlessType":"number","description":"

calibrated temperature from the CTD sensor

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"1004132","name":"C0S_m","format":"","frictionlessType":"number","description":"

Conductivity

","units":{"_id":"","name":"Siemens m-1"},"type":{"_id":"779","name":"conductivity","description":"

Conductivity. Units and collection methods may vary. Often reported in Siemens/meter.

When used in a JGOFS/GLOBEC project this is the conductivity in Siemens/meter for the primary conductivity sensor on a CTD.

"}},{"_id":"1004133","name":"FlECO_AFL","format":"","frictionlessType":"number","description":"

Fluorescence

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"835","name":"fluorescence","description":"

Fluorescence. Indirect measure of pigment concentration.

Units and collection method may vary. Units often reported in milligrams/meter^3 (mg/m3) or micromoles per liter (ug/L). Sometimes reported after being calibrated against extracted pigment concentrations.

In JGOFS/GLOBEC projects fluorescence is measured from CTD instrument sensor.

"}},{"_id":"1004134","name":"TurbWETntu0","format":"","frictionlessType":"number","description":"

Turbidity

","units":{"_id":"","name":"NTU"},"type":{"_id":"1728","name":"turbidity","description":"

Turbidity is the cloudiness or haziness of a fluid caused by individual particles

"}},{"_id":"1004135","name":"Sbeox0V","format":"","frictionlessType":"number","description":"

Oxygen sensor voltage (raw signal)

","units":{"_id":"","name":"volts (V)"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1004136","name":"Par_sat_log","format":"","frictionlessType":"number","description":"

Photosynthetically Active Radiation (PAR)

","units":{"_id":"","name":"umol photons m-2 s-1"},"type":{"_id":"913","name":"PAR","description":"

Photosynthetically Available [Active] Radiation; downwelling irradiance; units vary: often microEinsteins/meter^2/second, microEinsteins/centimeter^2/second, or micromoles photons/meter/second

"}},{"_id":"1004137","name":"Ph","format":"","frictionlessType":"number","description":"

pH (-log (H+))

","units":{"_id":"","name":"unitless"},"type":{"_id":"1892","name":"pH","description":"

pH: The measure of the acidity or basicity of an aqueous solution

"}},{"_id":"1004138","name":"Sal00","format":"","frictionlessType":"number","description":"

salinity derived from conductivity, temperature, and pressure

","units":{"_id":"","name":"PSU"},"type":{"_id":"955","name":"sal","description":"

Salinity: The amount (mass or quantity of matter) of salt per amount (volume or mass) of a body of water.

"}},{"_id":"1004139","name":"Sigma_t00","format":"","frictionlessType":"number","description":"

water density relative to freshwater

","units":{"_id":"","name":"kg/m^3 – 1000"},"type":{"_id":"734","name":"sigma-t","description":"

Sigma-t density, often reported in kg/m^3 - 1000. 'Sigma-t' is density minus 1000 (without the effect of pressure). It is normally calculated from observations of temperature and salinity. (See How do we measure the density of sea water?)

"}},{"_id":"1004140","name":"DepSM","format":"","frictionlessType":"number","description":"

Depth calculated from pressure

","units":{"_id":"","name":"meters"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

"}},{"_id":"1004142","name":"OxsatMg_L","format":"","frictionlessType":"number","description":"

Oxygen saturation, theoretical maximum oxygen at that temperature/salinity

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"911","name":"O2sat","description":"

oxygen saturation, in milliliters/liters or sometimes milligrams per liter.

"}},{"_id":"1004143","name":"Potemp090C","format":"","frictionlessType":"number","description":"

temperature adjusted to reference pressure (surface)

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"936","name":"potemp","description":"

potential temperature (International Practical Temperature Scale - 68 ,or 90). When known, the scale will be reported in the units field of the documentation file.

"}},{"_id":"1004144","name":"Sbeox0Mg_L","format":"","frictionlessType":"number","description":"

Dissolved Oxygen

","units":{"_id":"","name":"mg L-1"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1004145","name":"Sbeox0PS","format":"","frictionlessType":"number","description":"

Oxygen, percent saturation

","units":{"_id":"","name":"percent"},"type":{"_id":"911","name":"O2sat","description":"

oxygen saturation, in milliliters/liters or sometimes milligrams per liter.

"}},{"_id":"1004146","name":"Dz_dtM","format":"","frictionlessType":"number","description":"

vertical speed of CTD

","units":{"_id":"","name":"m s-1"},"type":{"_id":"1042","name":"vtvel","description":"

Vertical velocity of a towed or autonomous platform (such as a MOCNESS, BIOMAPER-II system, or AUV) as it moves through the water.

"}},{"_id":"1004147","name":"Nbin","format":"","frictionlessType":"integer","description":"

Number of samples averaged per bin

","units":{"_id":"","name":"unitless"},"type":{"_id":"899","name":"nbin","description":"

reported with CTD data, refers to the number of data cycles used to compile an average value for a given depth/BIN interval.

"}},{"_id":"1004148","name":"Flag","format":"","frictionlessType":"number","description":"

Data quality flag indicates bad or questionable data points. 0.00E+00 indicates a good value

","units":{"_id":"","name":"unitless"},"type":{"_id":"1730","name":"flag","description":"

Data flag. Multiple uses which are dataset dependent. Some uses: data quality, collection occurrence or success, depth indicator. See dataset documentation for specific details

"}}],"related_publications":[{"id":"1003838","citation":"Chen, Y., & Li, M. (2025). Impact of Hurricane Ian (2022) on Karenia brevis Bloom on the West Florida Shelf. Geophysical Research Letters, 52(6). Portico. https://doi.org/10.1029/2024GL113500\r\n","relation_type":["Results"],"relation_desc":""},{"id":"1003839","citation":"Chen, Y., Li, M., Glibert, P. M., & Heil, C. (2023). <scp>MurKy</scp> waters: Modeling the succession from <scp>r</scp> to <scp>K</scp> strategists (diatoms to dinoflagellates) following a nutrient release from a mining facility in Florida. Limnology and Oceanography, 68(10), 2288–2304. Portico. https://doi.org/10.1002/lno.12420\r\n","relation_type":["Results"],"relation_desc":""},{"id":"1003840","citation":"Glibert, P. M., Heil, C. A., & Li, M. (2025). More sustained, more severe blooms and shifting monthly patterns of the toxigenic dinoflagellate Karenia brevis on the West Florida Shelf. Harmful Algae, 150, 102967. https://doi.org/10.1016/j.hal.2025.102967\r\n","relation_type":["Results"],"relation_desc":""},{"id":"1003841","citation":"Glibert, P. M., Heil, C. A., & Li, M. (2026). Climate shifts and anthropogenic footprints driving increased severity and duration of toxic Karenia brevis blooms in the Gulf of Mexico over the past ~50 years. Frontiers in Marine Science, 13. https://doi.org/10.3389/fmars.2026.1769349\r\n","relation_type":["Results"],"relation_desc":""},{"id":"1004149","citation":"Seasoft V2 (2018) Seasoft version 2.4.0. Available at: https://www.seabird.com/software.","relation_type":["Software"],"relation_desc":""}],"related_datasets":[{"_id":"1003828","name":"Chemical and biological data post-hurricane Ian","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

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