http://lod.bco-dmo.org/id/dataset/987237
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
2025-10-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Temperature measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study
2025-11-18
publication
2025-11-18
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-11-21
publication
https://doi.org/10.26008/1912/bco-dmo.987237.1
Anne Innes-Gold
University of Hawaiʻi at Mānoa
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: Innes-Gold, A. (2025) Temperature measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-11-18 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.987237.1 [access date]
Methods and Sampling: <p>Sea surface temperature was recorded&nbsp;using HOBO Pendant Temperature Loggers attached to the central cinder block at each artificial reef. The logger recorded the temperature every six hours for the entire duration of September 2022-December 2023.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1941737 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1941737
completed
Anne Innes-Gold
University of Hawaiʻi at Mānoa
ainnesgo@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Month
Year
Date
Temp_S1
Intensity_S1
Temp_S2
Intensity_S2
Temp_S3
Intensity_S3
Latitude
Longitude
HOBO Pendant Temperature/Light 64K Data Loggers (UA-002-64)
theme
None, User defined
month_local
year
date_local
water temperature at measurement depth
light intensity
latitude
longitude
featureType
BCO-DMO Standard Parameters
Temperature Logger
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.
CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales
http://oceansphere.org
CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales
<p><em>NSF Award Abstract:</em><br />
Coral reefs worldwide are under increasing threat from a range of human-induced stressors. Climate change is understood to be a key global stressor threatening reefs, but the only proven levers for ecosystem managers to increase reef resilience is to mitigate local and regional stressors such as fishing pressure. A vexing question persists, however, which is how to measure the effects of fishing on ecosystems, particularly over the large spatial (e.g., >10s of meters) and temporal (multi-year) scales over which fishing occurs. One promising approach to doing so is using the large-scale vegetation patterns found on coral reefs globally, called “halos”, to remotely observe when, where, and to what extent fishing pressure is affecting community structure and function. This program combines lab- and field-based experiments with cutting-edge satellite imaging technology and computer science approaches to provide a leap forward in our understanding of how species-level interactions can scale up in space and time to shape coral reef seascapes around the world. By drawing on these approaches, the synergistic education program: 1) integrates science and art (i.e., murals and satellite imagery) to educate and inspire Hawai‘i’s students and general public about coral reef ecology; 2) builds technological capacity in Hawai‘i’s underrepresented minority high school to graduate students, and 3) empowers these students with science communication skills to communicate with diverse audiences. By leveraging this research program and the cutting-edge technologies it will involve, the investigator establishes a strong foundation for long-term teaching and mentoring activities focused on increasing capacity within STEM-underrepresented minorities with Hawaiian and other Pacific Islander backgrounds. Decoding what coral reef halos can tell us about the effects of fishing on reef ecosystem health provides valuable knowledge to reef ecosystem managers and conservation practitioners as reefs continue to rapidly change due to human stressors.</p>
<p>This project combines lab- and field-based experiments with cutting-edge satellite imaging technology and computer science approaches to address the goals of: 1) determining the mechanisms that create the “halos” that form around coral patch reefs, and 2) testing the predictions arising from these mechanisms in a global arena. This project uses a transdisciplinary approach – spanning ecology, oceanography, geospatial science, and computer science – to address these goals. This program has three scientific objectives: to determine 1) which species interaction mechanisms and environmental factors cause reef halos and what their relative importance is; 2) whether these mechanisms are globally consistent or vary geographically; and 3) whether halos can therefore be used as an indicator of aspects of coral reef ecosystem health. In the process, this research advances our understanding of how remote observation tools (satellite and drone imagery; camera traps) can be integrated with computer science (machine learning) and ecological approaches (mechanistic experiments) to generate emergent insights that would not otherwise be possible.</p>
<p>This project is jointly funded by the Biological Oceanography Program, the Established Program to Stimulate Competitive Research (EPSCoR), and Ocean Education Programs.</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>
Coral Reef Halos
largerWorkCitation
project
eng; USA
oceans
-157.806783
-157.806783
21.46402
21.46402
2022-09-20
2022-09-20
Hawai’i (field components) and global (synthetic components)
0
BCO-DMO catalogue of parameters from Temperature measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study
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/987510.rdf
Name: Month
Units: unitless
Description: <p>Month of observation</p>
http://lod.bco-dmo.org/id/dataset-parameter/987511.rdf
Name: Year
Units: unitless
Description: <p>Year of observation</p>
http://lod.bco-dmo.org/id/dataset-parameter/987512.rdf
Name: Date
Units: unitless
Description: <p>Observation date (ISO format)</p>
http://lod.bco-dmo.org/id/dataset-parameter/987513.rdf
Name: Temp_S1
Units: degrees Fahrenheit
Description: <p>Water temperature at sensor 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/987514.rdf
Name: Intensity_S1
Units: lux
Description: <p>Light intensity at sensor 1</p>
http://lod.bco-dmo.org/id/dataset-parameter/987515.rdf
Name: Temp_S2
Units: degrees Fahrenheit
Description: <p>Water temperature at sensor 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/987516.rdf
Name: Intensity_S2
Units: lux
Description: <p>Light intensity at sensor 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/987517.rdf
Name: Temp_S3
Units: degrees Fahrenheit
Description: <p>Water temperature at sensor 3</p>
http://lod.bco-dmo.org/id/dataset-parameter/987518.rdf
Name: Intensity_S3
Units: lux
Description: <p>Light intensity at sensor 3</p>
http://lod.bco-dmo.org/id/dataset-parameter/987519.rdf
Name: Latitude
Units: decimal degrees
Description: <p>latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/987520.rdf
Name: Longitude
Units: decimal degrees
Description: <p>longitude</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
108195
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/f8a33dab-0522-4fbf-8e81-dca90334a32f/content
download
https://doi.org/10.26008/1912/bco-dmo.987237.1
download
onLine
dataset
<p>Sea surface temperature was recorded&nbsp;using HOBO Pendant Temperature Loggers attached to the central cinder block at each artificial reef. The logger recorded the temperature every six hours for the entire duration of September 2022-December 2023.</p>
Specified by the Principal Investigator(s)
<div>Combined temperature data (987237_v1_kaneohe-bay-halos-temperature.csv) was created by aggregating all data files together for ease of analysis. The first and last observation of each individual raw file was removed since those may have been recorded before/after the logger was placed in the water. For some months, loggers were only placed at two of the artificial reef sites, but for most months, three loggers were placed.&nbsp;&nbsp;</div>
<div>&nbsp;</div>
<div>The csv files named after each date when they began recording are the raw files extracted from the HOBO loggers (see Raw_temp_files.zip).</div>
Specified by the Principal Investigator(s)
* The data table within the submitted file "Temp_combined.csv" was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values. Table will appear as Data File: 987237_v1_kaneohe-bay-halos-temperature.csv (along with other download format options).
* Raw logger files submitted within a folder named "Raw temp files" were packaged into a Zip file and included as a supplemental file attached to this dataset: Raw_temp_files.zip
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
* Date column converted to ISO 8601 format.
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
HOBO Pendant Temperature/Light 64K Data Loggers (UA-002-64)
HOBO Pendant Temperature/Light 64K Data Loggers (UA-002-64)
PI Supplied Instrument Name: HOBO Pendant Temperature/Light 64K Data Loggers (UA-002-64) Instrument Name: Temperature Logger Instrument Short Name: Instrument Description: Records temperature data over a period of time.