http://lod.bco-dmo.org/id/dataset/997771 eng; USA utf8 dataset Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 2026-04-30 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) SCTLD-associated Symbiodiniaceae ITS-2 from the Multi-scale multi-host disease spread project 2026-04-30 publication 2026-04-30 revision BCO-DMO Linked Data URI 2026-04-30 creation http://lod.bco-dmo.org/id/dataset/997771 Amy Apprill Woods Hole Oceanographic Institution principalInvestigator Marilyn Brandt University of the Virgin Islands Center for Marine and Environmental Studies principalInvestigator Adrienne M.S. Correa Rice University principalInvestigator Daniel Holstein Louisiana State University principalInvestigator Erinn M. Muller Mote Marine Laboratory principalInvestigator Laura Mydlarz University of Texas at Arlington principalInvestigator Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. publisher Cite this dataset as: Karrick, C. E., Correa, A. M.S., Brandt, M., Apprill, A., Holstein, D., Mydlarz, L., Muller, E. M. (2026) SCTLD-associated Symbiodiniaceae ITS-2. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-30 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/997771 [access date] Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2109622 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2109622 onGoing Amy Apprill Woods Hole Oceanographic Institution 508-289-2649 Marine Chemistry and Geochemistry Department 266 Woods Hole Road, MS# 4 Woods Hole MA 02543 USA aapprill@whoi.edu pointOfContact Marilyn Brandt University of the Virgin Islands Center for Marine and Environmental Studies 340-693-1379 2 John Brewers Bay St. Thomas, USVI 00802 mbrandt@uvi.edu pointOfContact Adrienne M.S. Correa Rice University amsc@berkeley.edu pointOfContact Daniel Holstein Louisiana State University NY USA daniel.holstein@stonybrook.edu pointOfContact Erinn M. Muller Mote Marine Laboratory 941-388-4441 x 310 1600 Ken Thompson Parkway Sarasota FL 34241 USA emuller@mote.org pointOfContact Laura Mydlarz University of Texas at Arlington 817-272-0397 501 S. Nedderman Dr. 337 Life Sciences Building Arlington TX 76013 United States mydlarz@uta.edu pointOfContact asNeeded Dataset Version: 1 Unknown otherRestrictions otherRestrictions Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use. A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities https://osprey.bco-dmo.org/project/877263 A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities <p><em>NSF Award Abstract:</em><br /> Marine diseases have devastating impacts on ocean ecosystems and this work will directly examine the framework for understanding disease transmission in the ocean. A team of ecologists, ocean connectivity and disease modelers, microbiologists, and coral immunologists (from the University of Virgin Islands (UVI), Louisiana State University (LSU), Rice University, University of Texas-Arlington and the Woods Hole Oceanographic Institution) will develop a model that predicts transmission of a devastating Caribbean coral disease that has the potential to impact the economic value of coral reefs, including those located in the U.S. This project will support multidisciplinary field and laboratory research experiences of graduate students at multiple minority-serving institutions, and will provide undergraduate students with hands-on training in modeling, ecological and molecular analysis techniques. UVI and LSU are in EPSCoR jurisdictions and have diverse student bodies, including numerous under-represented minority (URM) students. The research team will collaboratively provide URM students with research experiences in STEM fields. Project findings will be broadly communicated through virtual public programming, and through the Virgin Islands Coral Disease Advisory Committee with updates on the vicoraldisease.org website. A coral disease response workshop for the U.S. Virgin Islands will also be held, in which project results will be presented and used to support disease response planning.</p> <p>Over the last four decades, marine diseases have decimated ecosystem engineers in marine coastal ecosystems, including the rocky intertidal, seagrasses and coral reefs. The pathogens driving these diseases have frequently been challenging to isolate, characterize and confirm, in part because they affect multiple host species and can spread by ocean currents, as well as through individual contact. Here, we propose a multi-scale epidemic model for studying marine disease that addresses both within-host and within-patch disease dynamics, and explicitly acknowledges the dispersal of pathogens between populations. Our interdisciplinary research team of ecologists, connectivity and disease modelers, microbiologists, and coral immunologists will integrate the largest set of predictors of marine disease spread to date: individual host species traits that allow for disease resistance or susceptibility, local transmission within communities that may have unique community structure, and hydrodynamic connectivity among susceptible communities. Modeling will be supported with rich data sets of within- and among-patch population characteristics and disease dynamics as well as molecular data on species-level disease responses. This project will advance knowledge of infectious diseases by integrating multidimensional scales and differential host susceptibilities into existing epidemiological models. This model will particularly advance the framework for studying marine diseases and has the potential to elucidate the transmission properties of a devastating Caribbean coral disease (stony coral tissue loss disease) that fits the most confounding and notorious hallmarks of marine diseases: infection of multiple hosts by an elusive pathogen.</p> <p>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.</p> Multi-scale multi-host disease spread largerWorkCitation project eng; USA oceans 2026-04-30 United States Virgin Islands 0 BCO-DMO catalogue of parameters from SCTLD-associated Symbiodiniaceae ITS-2 from the Multi-scale multi-host disease spread project Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact https://osprey.bco-dmo.org/dataset/997771/data/download download onLine asNeeded 7.x-1.1 Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact