http://lod.bco-dmo.org/id/dataset/986534
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
2025-10-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Fate data for corals sampled at the U.S. Virgin Islands from April 2022 to April 2023
2025-10-28
publication
2025-10-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2026-04-02
publication
https://doi.org/10.26008/1912/bco-dmo.986534.1
Marilyn Brandt
University of the Virgin Islands Center for Marine and Environmental Studies
principalInvestigator
Amy Apprill
Woods Hole Oceanographic Institution
principalInvestigator
Adrienne M.S. Correa
Rice University
principalInvestigator
Daniel Holstein
Louisiana State University
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: Brandt, M., Mydlarz, L., Apprill, A., Correa, A. M.S., Holstein, D. (2025) Fate data for corals sampled at the U.S. Virgin Islands from April 2022 to April 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.986534.1 [access date]
Shallow USVI fate tracking data Dataset Description: <p>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.</p> Methods and Sampling: <p><strong>Sampling:</strong><br />
Daily trips were made to the sampling sites using small boats. Start and end dates of field missions:<br />
March 28 - April 17, 2022<br />
September 1 -&amp; October 4, 2022<br />
February 21 - April 13, 2023</p>
<p>Both apparently healthy and actively diseased colonies of <em>Agaricia agaricites </em>(14 diseased, 27 healthy), <em>Acropora cervicornis </em>(6 healthy), <em>Colpophyllia natans </em>(19 diseased, 20 healthy), <em>Diploria labyrinthiformis </em>(7 diseased, 19 healthy), <em>Montastraea cavernosa </em>(18 diseased, 20 healthy), <em>Orbicella annularis </em>(18 diseased, 24 healthy),<em> Porites astreoides </em>(8 diseased, 32 healthy) were sampled for various analyses. All work was completed by divers on SCUBA. Each sampled colony was marked for relocation by hammering a numbered cattle tag into the adjacent dead substrate and then photographed from above. Then, using either a hammer and chisel or underwater Nemo drill with a diamond tipped hole saw (no anvil), coral fragments approximately 4 x 4 centimeters (cm) were collected from each colony. Three fragments were collected from apparently healthy corals (HH), and six fragments from diseased corals, including three fragments immediately adjacent to the lesion boundary (DD) and three fragments from apparently healthy tissue (HD). All fragments were placed into individually labeled whirlpacks and transported to the surface. Sample scar edges on the sampled colonies were sealed with natural clay. Corals were rephotographed before and after sealing with the clay. Marked colonies were mapped using a camera time-paired to a GPS on a float that was towed above by the sampler. Once at the surface, one fragment from each sample type (HH, HD, DD) was processed for microbial analyses, gene expression, TEM, and histopathology (separate data sets).</p>
<p><strong>Monitoring:</strong><br />
Using maps created using the GPS-paired images, divers on SCUBA relocated colonies, if possible. Colonies that were found were rephotographed, and the following was recorded: size estimates (length, width, and height), percent of the colony showing old mortality (defined as calyx degradation and algal recruitment), percent of the colony showing recent mortality (defined as bright white exposed skeleton with no algal recruitment), percent of living tissue that was bleached or paled, and disease identification (if applicable). Colony ID was confirmed by comparing monitoring photos to photos of the colony at sampling. All tissue was sampled from 15 of the 233 sampled colonies, and therefore these corals were not reassessed. At six months post-sampling, 159 corals were found, photographed, and monitored for health status. At one year post-sampling, 146 corals were found, photographed, and monitored for health status.</p>
<p><strong>Instrument Details:</strong><br />
Corals were tagged with 2½ inch masonry nails and plastic cattle tags with unique IDs. Coral and sample-specific images were recorded with Olympus Tough TG-6 cameras in Olympus underwater housings. Either Milwaukee 3lb sledges and ¾ inch mason chisels or Nemo underwater drills with 1½ inch diamond hole saws (anvil removed) were used to collect fragments.</p>
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
completed
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
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
Adrienne M.S. Correa
Rice University
amsc@berkeley.edu
pointOfContact
Daniel Holstein
Louisiana State University
NY
USA
daniel.holstein@stonybrook.edu
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
Date_Sampling
Site
Species
Tag
Latitude
Longitude
SamplingHealthState
Date_SixMonths
HealthState_SixMonths
Length_SixMonths
Width_SixMonths
Height_SixMonths
Pcnt_Old_SixMonths
Pcnt_Rec_SixMonths
Pcnt_Bl_SixMonths
Pcnt_Pale_SixMonths
Date_OneYear
HealthState_OneYear
Length_OneYear
Width_OneYear
Height_OneYear
Pcnt_Old_OneYear
Pcnt_Rec_OneYear
Pcnt_Bl_OneYear
Pcnt_Pale_OneYear
plastic cattle tags
Milwaukee 3lb sledges and ¾ in mason chisels or Nemo underwater drills
SCUBA
Olympus Tough TG-6 cameras in Olympus underwater housings
theme
None, User defined
date
site
species scientific name (binomial)
sample identification
latitude
longitude
sample description
length
width
height
featureType
BCO-DMO Standard Parameters
labeling tag
Manual Biota Sampler
Self-Contained Underwater Breathing Apparatus
Underwater Camera
instrument
BCO-DMO Standard Instruments
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
-64.8148
-64.607
17.77335
18.34465
2022-04-05
2023-04-13
United States Virgin Islands
0
BCO-DMO catalogue of parameters from Fate data for corals sampled at the U.S. Virgin Islands from April 2022 to April 2023
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
http://lod.bco-dmo.org/id/dataset-parameter/988081.rdf
Name: Date_Sampling
Units: unitless
Description: <p>Date sample was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/988082.rdf
Name: Site
Units: unitless
Description: <p>Site name where sample was collected from</p>
http://lod.bco-dmo.org/id/dataset-parameter/988083.rdf
Name: Species
Units: unitless
Description: <p>Species of coral</p>
http://lod.bco-dmo.org/id/dataset-parameter/988084.rdf
Name: Tag
Units: unitless
Description: <p>ID of the tag associated with the coral</p>
http://lod.bco-dmo.org/id/dataset-parameter/988085.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Approximate latitude of coral in decimal degrees</p>
http://lod.bco-dmo.org/id/dataset-parameter/988086.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Approximate longitude of coral in decimal degrees</p>
http://lod.bco-dmo.org/id/dataset-parameter/988087.rdf
Name: SamplingHealthState
Units: unitless
Description: <p>Health state of coral at the time of sampling in 2023, either stony coral tissue loss disease (SCTLD)-affected or diseased</p>
http://lod.bco-dmo.org/id/dataset-parameter/988088.rdf
Name: Date_SixMonths
Units: unitless
Description: <p>Date of six months post-sampling monitoring survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/988089.rdf
Name: HealthState_SixMonths
Units: unitless
Description: <p>Health state of coral during monitoring survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/988090.rdf
Name: Length_SixMonths
Units: centimeters (cm)
Description: <p>Maximum length of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988091.rdf
Name: Width_SixMonths
Units: centimeters (cm)
Description: <p>Maximum width (perpendicular to length) of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988092.rdf
Name: Height_SixMonths
Units: centimeters (cm)
Description: <p>Maximum height of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988093.rdf
Name: Pcnt_Old_SixMonths
Units: percent (%)
Description: <p>Percent of colony that is old mortality (TCRMP definition: algal recruitment and degradation of corallite structure)</p>
http://lod.bco-dmo.org/id/dataset-parameter/988094.rdf
Name: Pcnt_Rec_SixMonths
Units: percent (%)
Description: <p>Percent of colony that has recent mortality (TCRMP definition: bare skeleton and no degradation of corallite structure)</p>
http://lod.bco-dmo.org/id/dataset-parameter/988095.rdf
Name: Pcnt_Bl_SixMonths
Units: percent (%)
Description: <p>Percent of the living tissue that is visibly bleached</p>
http://lod.bco-dmo.org/id/dataset-parameter/988096.rdf
Name: Pcnt_Pale_SixMonths
Units: percent (%)
Description: <p>Percent of the living tissue that is visibly paling</p>
http://lod.bco-dmo.org/id/dataset-parameter/988097.rdf
Name: Date_OneYear
Units: unitless
Description: <p>Date of one year post-sampling monitoring survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/988098.rdf
Name: HealthState_OneYear
Units: unitless
Description: <p>Health state of coral during monitoring survey</p>
http://lod.bco-dmo.org/id/dataset-parameter/988099.rdf
Name: Length_OneYear
Units: centimeters (cm)
Description: <p>Maximum length of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988100.rdf
Name: Width_OneYear
Units: centimeters (cm)
Description: <p>Maximum width (perpendicular to length) of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988101.rdf
Name: Height_OneYear
Units: centimeters (cm)
Description: <p>Maximum height of the whole coral colony (includes area of old/recent mortality) measured in centimeters</p>
http://lod.bco-dmo.org/id/dataset-parameter/988102.rdf
Name: Pcnt_Old_OneYear
Units: percent (%)
Description: <p>Percent of colony that is old mortality (TCRMP definition: algal recruitment and degradation of corallite structure)</p>
http://lod.bco-dmo.org/id/dataset-parameter/988103.rdf
Name: Pcnt_Rec_OneYear
Units: percent (%)
Description: <p>Percent of colony that has recent mortality (TCRMP definition: bare skeleton and no degradation of corallite structure)</p>
http://lod.bco-dmo.org/id/dataset-parameter/988104.rdf
Name: Pcnt_Bl_OneYear
Units: percent (%)
Description: <p>Percent of the living tissue that is visibly bleached</p>
http://lod.bco-dmo.org/id/dataset-parameter/988105.rdf
Name: Pcnt_Pale_OneYear
Units: percent (%)
Description: <p>Percent of the living tissue that is visibly paling</p>
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
29563
https://datadocs.bco-dmo.org/file/p90DOpYSnBgPL6/986534_v1_usvi_fate_tracking.csv
986534_v1_usvi_fate_tracking.csv
Primary data file for dataset ID 986534, version 1
download
https://osprey.bco-dmo.org/dataset/986534/data/download
download
onLine
dataset
<p><strong>Sampling:</strong><br />
Daily trips were made to the sampling sites using small boats. Start and end dates of field missions:<br />
March 28 - April 17, 2022<br />
September 1 -&amp; October 4, 2022<br />
February 21 - April 13, 2023</p>
<p>Both apparently healthy and actively diseased colonies of <em>Agaricia agaricites </em>(14 diseased, 27 healthy), <em>Acropora cervicornis </em>(6 healthy), <em>Colpophyllia natans </em>(19 diseased, 20 healthy), <em>Diploria labyrinthiformis </em>(7 diseased, 19 healthy), <em>Montastraea cavernosa </em>(18 diseased, 20 healthy), <em>Orbicella annularis </em>(18 diseased, 24 healthy),<em> Porites astreoides </em>(8 diseased, 32 healthy) were sampled for various analyses. All work was completed by divers on SCUBA. Each sampled colony was marked for relocation by hammering a numbered cattle tag into the adjacent dead substrate and then photographed from above. Then, using either a hammer and chisel or underwater Nemo drill with a diamond tipped hole saw (no anvil), coral fragments approximately 4 x 4 centimeters (cm) were collected from each colony. Three fragments were collected from apparently healthy corals (HH), and six fragments from diseased corals, including three fragments immediately adjacent to the lesion boundary (DD) and three fragments from apparently healthy tissue (HD). All fragments were placed into individually labeled whirlpacks and transported to the surface. Sample scar edges on the sampled colonies were sealed with natural clay. Corals were rephotographed before and after sealing with the clay. Marked colonies were mapped using a camera time-paired to a GPS on a float that was towed above by the sampler. Once at the surface, one fragment from each sample type (HH, HD, DD) was processed for microbial analyses, gene expression, TEM, and histopathology (separate data sets).</p>
<p><strong>Monitoring:</strong><br />
Using maps created using the GPS-paired images, divers on SCUBA relocated colonies, if possible. Colonies that were found were rephotographed, and the following was recorded: size estimates (length, width, and height), percent of the colony showing old mortality (defined as calyx degradation and algal recruitment), percent of the colony showing recent mortality (defined as bright white exposed skeleton with no algal recruitment), percent of living tissue that was bleached or paled, and disease identification (if applicable). Colony ID was confirmed by comparing monitoring photos to photos of the colony at sampling. All tissue was sampled from 15 of the 233 sampled colonies, and therefore these corals were not reassessed. At six months post-sampling, 159 corals were found, photographed, and monitored for health status. At one year post-sampling, 146 corals were found, photographed, and monitored for health status.</p>
<p><strong>Instrument Details:</strong><br />
Corals were tagged with 2½ inch masonry nails and plastic cattle tags with unique IDs. Coral and sample-specific images were recorded with Olympus Tough TG-6 cameras in Olympus underwater housings. Either Milwaukee 3lb sledges and ¾ inch mason chisels or Nemo underwater drills with 1½ inch diamond hole saws (anvil removed) were used to collect fragments.</p>
Specified by the Principal Investigator(s)
<p>Each coral was assigned a representative health state at the monitoring period (either apparently healthy, diseased, or other health impairment) to fate track colonies and compare fates among the sampling health states.</p>
Specified by the Principal Investigator(s)
- Imported original file "PREDICT_USVIShallowFateTracking_toupload.csv" into the BCO-DMO system.
- Marked "NA" as a missing data value (missing data are empty/blank in the final CSV file).
- Changed format of dates to YYYY-MM-DD.
- Renamed fields to comply with BCO-DMO naming conventions.
- Saved the final file as "986534_v1_usvi_fate_tracking.csv".
- 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.
Specified by BCO-DMO Data Managers
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
plastic cattle tags
plastic cattle tags
PI Supplied Instrument Name: plastic cattle tags PI Supplied Instrument Description:Corals were tagged with 2 ½" masonry nails and plastic cattle tags with unique IDs. Instrument Name: labeling tag Instrument Short Name: Instrument Description: Passive devices attached to captured organisms to specifically identify them when recaptured after release.
Milwaukee 3lb sledges and ¾ in mason chisels or Nemo underwater drills
Milwaukee 3lb sledges and ¾ in mason chisels or Nemo underwater drills
PI Supplied Instrument Name: Milwaukee 3lb sledges and ¾ in mason chisels or Nemo underwater drills PI Supplied Instrument Description:Either Milwaukee 3lb sledges and ¾ in mason chisels or Nemo underwater drills with 1 ½” diamond hole saws (anvil removed) were used to collect fragments. Instrument Name: Manual Biota Sampler Instrument Short Name:Manual Biota Sampler Instrument Description: "Manual Biota Sampler" indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net, or their hands. This term could also refer to a simple tool like a hammer, saw, or other hand-held tool. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/90/
SCUBA
SCUBA
PI Supplied Instrument Name: SCUBA PI Supplied Instrument Description:All work was completed by divers on SCUBA. Instrument Name: Self-Contained Underwater Breathing Apparatus Instrument Short Name:SCUBA Instrument Description: The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.
Reference: https://oceanexplorer.noaa.gov/technology/technical/technical.html
Olympus Tough TG-6 cameras in Olympus underwater housings
Olympus Tough TG-6 cameras in Olympus underwater housings
PI Supplied Instrument Name: Olympus Tough TG-6 cameras in Olympus underwater housings PI Supplied Instrument Description:Coral and sample specific images were recorded with Olympus Tough TG-6 cameras in Olympus underwater housings. Instrument Name: Underwater Camera Instrument Short Name: Instrument Description: All types of photographic equipment that may be deployed underwater including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/180/