19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T42f,

The fluorescence intensities attributable to each of the variables are normalized to the water Raman and expressed as relative fluorescence units (RFU). The Raman–normalized Chl a (679nm) and CDOM (508nm) fluorescence signals stimulated by the blue laser allow for measurements of Chl a and CDOM, respectively, while the Raman-normalized PE fluorescence signatures stimulated with the green laser allow for detection and quantitative assessment of three PE-containing groups of phytoplankton. These include the:

PE-1 peak at 565nm from blue water oligotrophic cyanobacteria with high phycourobilin/phycoerythrobilin (PUB/PEB) ratios,
PE-2 peak at 578nm from green water cyanobacteria with low-PUB/PEB ratios that usually thrive in coastal mesohaline waters, and
PE-3 peak at 590 nm attributable to eukaryotic photoautotrophic cryptophytes that are rich in phycobiliproteins and often abundant in coastal, and estuarine environments and in enclosed bays (Chekalyuk and Hafez, 2008; Chekalyuk et al., 2012, Goes et al. 2014).

1b:T419,The Automatic Laser Fluorometric Analyzer (ALFA) is a state-of-the-art instrument, that combines high-resolution spectral measurements of blue (405 nm) and green (532 nm) laser-stimulated fluorescence, with spectral deconvolution techniques to estimate CDOM, phytoplankton variable fluorescence (Fv/Fm), Chl a and three types of phycobiliprotein pigments. This data was collected using the ALFA in Underway fluorescence mode and sampling in the western Eastern Indian Ocean Upwelling region on the R/V Roger Ravelle in January - March 2022 (BLOOFINZ). In underway mode, the ALF is connected to the ship’s uncontaminated seawater flow-through system allowing for continuous measurements in water drawn from approximately 5m below the surface. All fluorescence values are Raman-normalized, with the exception of Chl a, which was calibrated with acetone extracted samples measured in a Turner Designs® Trilogy Fluorometer. The instrument is set up to make these measurements approx. every minute. See RR2201 cruise report in related publications. 1c:T1451,NSF Award Abstract: The small area between NW Australia and Indonesia in the eastern Indian Ocean (IO) is the only known spawning ground of Southern Bluefin Tuna (SBT), a critically endangered top marine predator. Adult SBT migrate thousands of miles each year from high latitude feeding areas to lay their eggs in these tropical waters, where food concentrations on average are below levels that can support optimal feeding and growth of their larvae. Many critical aspects of this habitat are poorly known, such as the main source of nitrogen nutrient that sustains system productivity, how the planktonic food web operates to produce the unusual types of zooplankton prey that tuna larvae prefer, and how environmental differences in habitat quality associated with ocean fronts and eddies might be utilized by adult spawning tuna to give their larvae a greater chance for rapid growth and survival success. This project investigates these questions on a 38-day expedition in early 2021, during the peak time of SBT spawning. This project is a US contribution to the 2nd International Indian Ocean Expedition (IIOE-2) that advances understanding of biogeochemical and ecological dynamics in the poorly studied eastern IO. This is the first detailed study of nitrogen and carbon cycling in the region linking Pacific and IO waters. The shared dietary preferences of SBT larvae with those of other large tuna and billfish species may also make the insights gained broadly applicable to understanding larval recruitment issues for top consumers in other marine ecosystems. New information from the study will enhance international management efforts for SBT. The shared larval dietary preferences of large tuna and billfish species may also extend the insights gained broadly to many other marine top consumers, including Atlantic bluefin tuna that spawn in US waters of the Gulf of Mexico. The end-to-end study approach, highlights connections among physical environmental variability, biogeochemistry, and plankton food webs leading to charismatic and economically valuable fish production, is the theme for developing educational tools and modules through the "scientists-in-the-schools" program of the Center for Ocean-Atmospheric Prediction Studies at Florida State University, through a program for enhancing STEM learning pathways for underrepresented students in Hawaii, and through public outreach products for display at the Birch Aquarium in San Diego. The study also aims to support an immersive field experience to introduce talented high school students to marine research, with the goal of developing a sustainable marine-related educational program for underrepresented students in rural northwestern Florida. Southern Bluefin Tuna (SBT) migrate long distances from high-latitude feeding grounds to spawn exclusively in a small oligotrophic area of the tropical eastern Indian Ocean (IO) that is rich in mesoscale structures, driven by complex currents and seasonally reversing monsoonal winds. To survive, SBT larvae must feed and grow rapidly under environmental conditions that challenge conventional understanding of food-web structure and functional relationships in poor open-ocean systems. The preferred prey of SBT larvae, cladocerans and Corycaeidae copepods, are poorly studied and have widely different implications for trophic transfer efficiencies to larvae. Differences in nitrogen sources - N fixation vs deep nitrate of Pacific origin - to sustain new production in the region also has implications for conditions that may select for prey types (notably cladocerans) that enhance transfer efficiency and growth rates of SBT larvae. The relative importance of these N sources for the IO ecosystem may affect SBT resiliency to projected increased ocean stratification. This research expedition investigates how mesoscale variability in new production, food-web structure and trophic fluxes affects feeding and growth conditions for SBT larvae. Sampling across mesoscale features tests hypothesized relationships linking variability in SBT larval feeding and prey preferences (gut contents), growth rates (otolith analyses) and trophic positions (TP) to the environmental conditions of waters selected by adult spawners. Trophic Positions of larvae and their prey are determined using Compound-Specific Isotope Analyses of Amino Acids (CSIA-AA). Lagrangian experiments investigate underlying process rates and relationships through measurements of water-column 14C productivity, N2 fixation, 15NO3- uptake and nitrification; community biomass and composition (flow cytometry, pigments, microscopy, in situ imaging, genetic analyses); and trophic fluxes through micro- and mesozooplankton grazing, remineralization and export. Biogeochemical and food web elements of the study are linked by CSIA-AA (N source, TP), 15N-constrained budgets and modeling. The project elements comprise an end-to-end coupled biogeochemistry-trophic study as has not been done previously for any pelagic ecosystem. 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.1d:Tb3e,NSF Award Abstract: Phytoplankton constitute the base of the marine food web. Their diversity, productivity and abundance have a huge influence on fisheries. For example, seasonal increases in phytoplankton biomass caused by the surge of deep ocean nutrient rich waters into the upper sunlit layers in the Equatorial Indian Ocean lead to an increase in tuna stocks. However, non-periodic increases of sea surface temperatures in the Seychelles-Chagos Thermocline Ridge region in the eastern Equatorial Indian Ocean, a phenomenon known as the Indian Ocean Dipole, weakens deep ocean water surge, which seems to alter phytoplankton community structure and to reduce phytoplankton’s productivity to the detriment of tuna stocks. Yet, the impact from such unpredictable events is not fully understood. This project investigates the impacts of an ongoing Indian Ocean Dipole, one of the most severe on record, on phytoplankton. The broader impacts of the project relate to its value to inform fisheries management plans in that area. Data derived from this study is valuable to understand and predict wider changes in the food web in a region that is coming under increasing pressures of global warming. All the data is made publicly available. The research team is working with South Korean collaborators to understand how changes in phytoplankton biomass and in deep chlorophyll maxima may be linked to changes in phytoplankton productivity and growth rates due nutrient and/or iron limitation as a result of the weakening of deep-water upwelling. The team is also investigating the impact of the dipole event on cell size of dominating phytoplankton populations. Finally, they are testing if the phytoplankton community rely primarily on recycled as opposed to new nitrogenous nutrients for photosynthesis and growth during dipole events. The hypotheses are tested through extensive biological, hydro-chemical and biogeochemical measurements that include: 1) microscopic, Flow Cytometry, FlowCAM and HPLC pigment based analysis of phytoplankton biomass, community composition and size structure and Fast Repetition Rate based measurements of phytoplankton photosynthetic competency along a cruise track and different depths in the water column, and 2) on-deck incubation based photosynthesis and nutrient uptake experiments. In situ measurements and sample collection is carried out as part of the Korea-US inDian Ocean Scientific (KUDOS) Research Program cruise (April-May 2020) on board the Korea Institute of Ocean Sciences and Technology Ship R/V Isabu, one of the only multi-disciplinary oceanographic cruises planned for the Seychelles-Chagos Thermocline Ridge region during the dipole event. 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:["$","$L19",null,{"dataset":{"_id":"944302","description":"","problem":"Project was originally set to sample Arabian Sea, which was cancelled due to covid-19 and piracy issues. Project sampled eastern Indian Ocean instead (cruise supported by BLOOFINZ-IO project). ","acquisition":"

Underway fluoresence sampling from the western Eastern Indian Ocean Upwelling region on the R/V Roger Ravelle in January - March 2022 (BLOOFINZ). See RR2201 cruise report in related publications.

When the instrument is used for underway sampling, the ALF is connected to the ship’s uncontaminated seawater flow-through system allowing for continuous measurements in water drawn from approximately 5m below the surface.

The Automatic Laser Fluorometric Analyzer (ALFA) is a state-of-the-art instrument, that combines high-resolution spectral measurements of blue (405 nm) and green (532 nm) laser-stimulated fluorescence, with spectral deconvolution techniques to estimate CDOM, phytoplankton variable fluorescence (Fv/Fm), Chl a and three types of phycobiliprotein pigments.

\n","processing":"$1a","bcodmoProcessing":"* Converted date and time notation to ISO format notation\r\n* Renamed fields to comply with database requirements\r\n* Removed row 70259 with date 10-01-08 and row 138180 with date 06-19-13 from original dataset due to inconsistent date notation, approved by submitter\r\n","title":"Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022","nickname":"ALFA data - Indonesian Through Flow Region","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2025-10-01T04:00:00.000Z","abstract":"$1b","citation":"Gomes, H. d. R., Goes, J. (2025) Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-01 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.944302.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.944302.1","versionDate":"2025-10-01","versionId":"1","year":"2025","title":"Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022","authors":"Gomes, H. d. 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Landry","role":"Chief Scientist"}]}],"funding":[{"_id":"850829","name":"OCE-2019983","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2019983"}],"instruments":[{"_id":"944369","name":"Automatic Laser Fluorometric Analyzer (ALFA)","description":"","type_id":"535111","type_name":"Wet Labs Aquatic Laser Fluorescence Analyzer (ALFA)","type_desc":"WET Labs’ Aquatic Laser Fluorescence Analyzer (ALFA) provides spectrally and\r\ntemporally resolved measurements of key bio-environmental variables in oceanic,\r\ncoastal, and fresh waters. Operation modes allow underway shipboard measurements\r\nand discrete sample analysis for accurate assessments of pigment biomass,\r\nphytoplankton community structure and physiology.\r\n \r\nFeatures\r\n• Spectral deconvolution of overlapped fluorescence bands with Raman normalization\r\n• Improved assessment of chlorophyll concentrations for estimating phytoplankton biomass\r\n• Discrimination of 5 phycobiliprotein pigments for structural phytoplankton characterization\r\n• Fluorescence assessment of chromophoric dissolved organic matter (CDOM)\r\n• Measures variable fluorescence, Fv/Fm, with correction for background CDOM fluorescence\r\n• Instrument software allows real-time data analysis and display with GPS coordinates and time\r\n\r\nmore information from Wet Labs","type_acronym":"ALFA"}],"parameters":[{"_id":"946077","name":"cruise_ID","format":"","frictionlessType":"string","description":"

Cruise identifier: BLOOFINZ_2022

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

cruise designation; name

"}},{"_id":"946078","name":"Date","format":"%Y-%m-%d","frictionlessType":"date","description":"

Sampling date in ISO format

","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":"946079","name":"TIME_UTC","format":"%H:%M:%S","frictionlessType":"time","description":"

Sampling time in ISO format (UTC timezone)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1075","name":"time","description":"

Time GMT defined as HHMM; time of day; generally reported in GMT as HHMM (hours and minutes) but may also be HH.H (decimal hours) or HHMMSS (hours; minutes and seconds); in EqPac time is reported as Hawaii local time

"}},{"_id":"946080","name":"ISO_DateTime_UTC","format":"%Y-%m-%dT%H:%M:%SZ","frictionlessType":"datetime","description":"

Sampling datetime in ISO format (UTC timezone)

","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":"946081","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude of sampling location, south is negative

","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":"946082","name":"Longitude","format":"","frictionlessType":"number","description":"

Longitude of sampling location, west is negative

","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":"946083","name":"CDOM","format":"","frictionlessType":"number","description":"

Chromophoric Dissolved Organic Matter

","units":{"_id":"","name":"rfu"},"type":{"_id":"1891","name":"CDOM","description":"

Colored dissolved organic matter (CDOM): The optically measurable component of the dissolved organic matter in water

"}},{"_id":"946084","name":"Chl_a","format":"","frictionlessType":"number","description":"

Chlorophyll a

","units":{"_id":"","name":"mg m-3"},"type":{"_id":"766","name":"chlorophyll a","description":"

Total chlorophyll a pigment. See dataset for units of measurement; often reported in: milligrams per cubic meter (mg/m3); micrograms/liter (ug/L); nanograms/liter (ng/L).

CAUTION Within JGOFS MERGED water column products: this parameter is derived from HPLC methodology and the units are nanograms/liter; however; this parameter name is also used for a variety of water and nonwater column sampling; derived via the fluorometric method; units will also vary.

"}},{"_id":"946085","name":"Fv_Fm","format":"","frictionlessType":"number","description":"

Phytoplankton Quantum efficiency

","units":{"_id":"","name":"unitless"},"type":{"_id":"886389","name":"quantum yield","description":"

The quantum yield (Φ) is a measure of the efficiency of photon emission as defined by the ratio of the number of photons emitted to the number of photons absorbed.

"}},{"_id":"946086","name":"PE_1","format":"","frictionlessType":"number","description":"

PE-1 peak at 565nm from blue water oligotrophic cyanobacteria with high phycourobilin/phycoerythrobilin (PUB/PEB) ratios

","units":{"_id":"","name":"rfu"},"type":{"_id":"701981","name":"wave_stats","description":"

This term contains all parameters pertaining to the measurement of waves. Includes wave height, direction, period, and energy spectra.

"}},{"_id":"946087","name":"PE_2","format":"","frictionlessType":"number","description":"

PE-2 peak at 578nm from green water cyanobacteria with low-PUB/PEB ratios that usually thrive in coastal mesohaline waters

","units":{"_id":"","name":"rfu"},"type":{"_id":"701981","name":"wave_stats","description":"

This term contains all parameters pertaining to the measurement of waves. Includes wave height, direction, period, and energy spectra.

"}},{"_id":"946088","name":"PE_3","format":"","frictionlessType":"number","description":"

PE-3 peak at 590 nm attributable to eukaryotic photoautotrophic cryptophytes that are rich in phycobiliproteins and often abundant in coastal and estuarine environments and in enclosed bays

","units":{"_id":"","name":"rfu"},"type":{"_id":"701981","name":"wave_stats","description":"

This term contains all parameters pertaining to the measurement of waves. Includes wave height, direction, period, and energy spectra.

"}}],"related_publications":[{"id":"946284","citation":"Chekalyuk, A. M., Landry, M. R., Goericke, R., Taylor, A. G., & Hafez, M. A. (2012). Laser fluorescence analysis of phytoplankton across a frontal zone in the California Current ecosystem. Journal of Plankton Research, 34(9), 761–777. https://doi.org/10.1093/plankt/fbs034\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"946283","citation":"Chekalyuk, A., & Hafez, M. (2008). Advanced laser fluorometry of natural aquatic environments. Limnology and Oceanography: Methods, 6(11), 591–609. Portico. https://doi.org/10.4319/lom.2008.6.591\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"946285","citation":"Goes, J. I., Gomes, H. do R., Haugen, E. M., McKee, K. T., D’Sa, E. J., Chekalyuk, A. M., Stoecker, D. K., Stabeno, P. J., Saitoh, S.-I., & Sambrotto, R. N. (2014). Fluorescence, pigment and microscopic characterization of Bering Sea phytoplankton community structure and photosynthetic competency in the presence of a Cold Pool during summer. Deep Sea Research Part II: Topical Studies in Oceanography, 109, 84–99. https://doi.org/10.1016/j.dsr2.2013.12.004\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"985667","citation":"Landry, M. R. (2022). R/V Roger Revelle Cruise RR2201 BLOOFINZ-IO cruise report: Eastern Indian Ocean larval tuna habitat study, 20 January – 14 March 2022 (Cruise report). AquaDocs. https://hdl.handle.net/1834/42016","relation_type":["General"],"relation_desc":"Cruise Report"}],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/944302/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"ERDDAP","items":[{"name":"SUBSET DATA","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.html","contentType":"text/html","actionType":"tool"},{"name":"VIEW TABLE","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.htmlTable","contentType":"text/html","actionType":"view"},{"name":"CSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.csv","contentType":"text/csv","actionType":"download"},{"name":"TSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.tsv","contentType":"text/tsv","actionType":"download"},{"name":"GeoJSON","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.geoJson","contentType":"application/geo+json","actionType":"download"},{"name":"MATLAB","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.mat","contentType":"text/x-matlab","actionType":"download"},{"name":"netCDF","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.nc","contentType":"application/x-netcdf","actionType":"download"},{"name":"ODV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.odvTxt","contentType":"text/plain","actionType":"download"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/944302/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/944302/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/944302/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[{"_id":"819631","name":"Second International Indian Ocean Expedition","acronym":"IIOE-2"}],"projects":[{"_id":"819488","name":"Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean","acronym":"BLOOFINZ-IO","description":"$1c"},{"_id":"850830","name":"RAPID - Assessing the response of the Seychelles-Chagos Thermocline Ridge ecosystem to an Indian Ocean Dipole event","acronym":"SCTR_IOD","description":"$1d"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.944302.1","url":"https://doi.org/10.26008/1912/bco-dmo.944302.1","date_assigned":"2025-10-06","version_date":"2025-10-01","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":202},"downloads":{"count":138}}}}]