http://lod.bco-dmo.org/id/dataset/926887
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
2024-05-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef in Sept and Oct of 2022
2024-05-07
publication
2024-05-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-08-09
publication
https://doi.org/10.26008/1912/bco-dmo.926887.1
Katie Barott
University of Pennsylvania
principalInvestigator
Kristen Brown
University of Pennsylvania
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: Barott, K., Brown, K. (2024) Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef in Sept and Oct of 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-05-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.926887.1 [access date]
Dataset Description: <p>See the "Related Datasets" section for other closely related data that was also part of the study&nbsp;published in Brown et al., 2024.&nbsp;&nbsp;</p> Methods and Sampling: <p>Acute heat stress experiment</p>
<p>A standardized temperature profile was used to measure heat tolerance in corals (e.g., (Voolstra et al. 2020; Cunning et al. 2021; Marzonie et al. 2022; Evensen et al. 2023)) with minor modification in temperature profiles. The climatological maximum monthly mean (MMM) of Heron Reef is 27.3°C (Weeks et al. 2008). A pilot experiment with all three genera indicated no difference in Fv/Fm between MMM, MMM+3°C and MMM+6°C, so the latter two treatments were increased to more accurately assess the decline in performance, such that the five treatments used here included ambient, MMM, MMM+4°C, MMM+6.5°C, and MMM+9°C. Generally, experiments began at ~12:00 with a 3-hr ramp to respective treatment temperatures (23°C, 27.3°C, 31.3°C, 33.8°C, 36.3°C), a 3-hr hold, and a 1-hr ramp down to MMM (Evensen et al. 2023) (Figure S1&nbsp;of&nbsp;Brown et al., 2024). Lights were turned off at the onset of the 1-hr ramp down to correspond with sunset. Due to experimental constraints (space, equipment, and time), only two treatments (n = 1 tank) were performed per day and each site was done in isolation. Accordingly, a complete assay took two days per site, with treatments tested each day selected randomly (Table S1, Figure S1&nbsp;of Brown et al., 2024). A fragment from each coral colony was randomly placed into each treatment, so that all colonies were present in each treatment. Temperatures were controlled using an Apex controller (Neptune Systems). Apex temperature probes were calibrated against a high-precision temperature probe (HANNA HI-98190; accuracy: ±0.4°C at 25°C; resolution: ± 0.10°C) at the onset of the experiment. Temperatures were also recorded using cross-calibrated temperature loggers (HOBO UA-001-64, accuracy: ± 0.29°C at 25°C). Photosynthetically active radiation (PAR) was static and controlled using aquarium lights (NICREW HyperReef LED, Shenzhen NiCai Technology Co.), averaging 250 µmol m-2 sec-1.&nbsp;</p>
<p>Physiological responses to acute heat stress</p>
<p>At the end of the ramp and after 1 h of darkness (~19:00), corals were assessed for dark-adapted photochemical yield (Fv/Fm) using a Diving-PAM (Walz GmbH) 5-mm diameter fiber-optic probe at a standardized distance (5 mm) above the coral tissue after Fo stabilized. Two random spots on either side of a single fragment were measured to obtain average measures of Fv/Fm. All readings with Fo values that were less than 110 were removed to avoid any false detections (Marzonie et al., 2022). The following morning at 07:00 corals were photographed with a color standard (WDKK Waterproof Color Chart, DGK Color Tools) to assess the effect of temperature on coral color, a proxy for relative chlorophyll density and bleaching severity(Winters et al. 2009; Voolstra et al. 2020).&nbsp;</p>
<p>Image analysis of coral color, a proxy for bleaching severity</p>
<p>Coral color was determined from each photograph in a semi-automated manner. Each photograph was first cropped to a standard size to remove excess background via a custom automated batch script in Adobe Photoshop (Version 21.1.2). Photographs were then loaded into ImageJ (v1.53c (Schneider et al. 2012) ), and the performance of 16 built-in segmentation models were tested on a sub-sample of coral images to remove the background of the cropped image, which was turned to black, thus leaving only the coral fragment. The segmentation model that best segmented all coral fragments from the background effectively with limited coral fragment cut off (Model Li) was then implemented on all images, which were batch processed using a custom image segmentation macro script modified from(Strock 2021). Once segmented, the script then extracted red pixel intensity of the fragment in RGB, HSB, and LAB color spaces. Finally, the mean red pixel intensity of the red color standard from the original (unsegmented) images was extracted from a region of interest drawn by hand in ImageJ. Pixel intensities of the coral and corresponding red standard were then converted to a ‘darkness’ score by subtracting the red channel 'brightness’ from the maximum value (255). The mean red channel darkness of each coral was then normalized by dividing by the mean red pixel darkness of the red color standard from the same photograph. These red-normalized color values were then used to calculate the changes in bleaching severity between species, sites and treatments. For visualization, the red-normalized color values were divided by the mean color under ambient (MMM) conditions for that species.<br />
<br />
<strong>Organism identifiers (Genus, Lifesciences Identifier [LSID]):</strong><br />
Pocillopora,&nbsp;urn:lsid:marinespecies.org:taxname:206938<br />
Porites,&nbsp;urn:lsid:marinespecies.org:taxname:206485<br />
Acropora,&nbsp;urn:lsid:marinespecies.org:taxname:205469</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1923743 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1923743
completed
Katie Barott
University of Pennsylvania
215-746-6911
433 South University Avenue Leidy Laboratories 326
Philadelphia
PA
19104
USA
kbarott@sas.upenn.edu
pointOfContact
Kristen Brown
University of Pennsylvania
433 S University Ave
Philadelphia
PA
19104-4544
USA
ktbrown@sas.upenn.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site_Code
Site_Name
Lat
Lon
Genus
ColonyID
Treatment_nonnum
Treatment
Replicate
Temperature
F0
Fm
Y
Label
Color_type
Color
Name
Area1
Mean_frag
StdDev1
Mode1
MinThr1
MaxThr1
Label_match
temperature loggers (HOBO UA-001-64)
theme
None, User defined
site description
site
latitude
longitude
genus
sample identification
treatment
replicate
water temperature at measurement depth
fluorescence
Fv to Fm ratio
sample description
area
No BCO-DMO term
standard deviation
file_name
featureType
BCO-DMO Standard Parameters
Fluorometer
Onset HOBO Pendant Temperature/Light Data 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.
Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress
https://osprey.bco-dmo.org/project/843347
Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress
<p><strong>NSF Award Abstract:</strong><br />
Coral reefs are incredibly diverse ecosystems that provide food, tourism revenue, and shoreline protection for coastal communities. The ability of coral reefs to continue providing these services to society is currently threatened by climate change, which has led to increasing ocean temperatures and acidity that can lead to the death of corals, the animals that build the reef framework upon which so many species depend. This project examines how temperature and acidification stress work together to influence the future health and survival of corals. The scientists are carrying out the project in Hawaii where they have found individual corals with different sensitivities to temperature stress that are living on reefs with different environmental pH conditions. This project improves understanding of how an individual coral's history influences its response to multiple stressors and helps identify the conditions that are most likely to support resilient coral communities. The project will generate extensive biological and physicochemical data that will be made freely available. Furthermore, this project supports the education and training of undergraduate and high school students and one postdoctoral researcher in marine science and coral reef ecology. Hands-on activities for high school students are being developed into a free online educational resource.</p>
<p>This project compares coral responses to acidification stress in populations experiencing distinct pH dynamics (high diel variability vs. low diel variability) and with distinct thermal tolerances (historically bleaching sensitive vs. tolerant) to learn about how coral responses to these two factors differ between coral species and within populations. Experiments focus on the two dominant reef builders found at these stable and variable pH reefs: Montipora capitata and Porites compressa. Individuals of each species exhibiting different thermal sensitivities (i.e., bleached vs. pigmented) were tagged during the 2015 global coral bleaching event. This system tests the hypotheses that 1) corals living on reefs with larger diel pH fluctuations have greater resilience to acidification stress, 2) coral resilience to acidification is a plastic trait that can be promoted via acclimatization, and 3) thermally sensitive corals have reduced capacity to cope with pH stress, which is exacerbated at elevated temperatures. Coral cells isolated from colonies from each environmental and bleaching history are exposed to acute pH stress and examined for their ability to recover intracellular pH in vivo using confocal microscopy, and the expression level of proteins predicted to be involved in this recovery (e.g., proton transporters) is examined via Western blot and immunolocalization. Corals from each pH history are exposed to stable and variable seawater pH in a controlled aquarium setting to determine the level of plasticity of acidification resilience and to test for pH acclimatization in this system. Finally, corals with different levels of thermal sensitivity are exposed to thermal stress and recovery, and their ability to regulate pH is examined over time. The results of these experiments help identify reef conditions that promote coral resilience to ocean acidification against the background of increasingly common thermal stress events, while advancing mechanistic understanding of coral physiology and symbiosis.</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 Resilience
largerWorkCitation
project
eng; USA
oceans
151.55
151.55
-23.27
-23.27
2022-09-15
2022-10-30
Kaneohe Bay, Oahu, HI; Heron Island, Queensland, Australia
0
BCO-DMO catalogue of parameters from Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef in Sept and Oct of 2022
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/935300.rdf
Name: Site_Code
Units: unitless
Description: <p>Site Code (two letter code for site)</p>
http://lod.bco-dmo.org/id/dataset-parameter/935301.rdf
Name: Site_Name
Units: unitless
Description: <p>Site Name ( 'Deep Lagoon', 'Fourth Point', 'Harry\'s Bommie', 'Reef Crest', 'Reef Flat', 'Shallow Lagoon' )</p>
http://lod.bco-dmo.org/id/dataset-parameter/935302.rdf
Name: Lat
Units: decimal degrees
Description: <p>Site latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/935303.rdf
Name: Lon
Units: decimal degrees
Description: <p>Site longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/935304.rdf
Name: Genus
Units: unitless
Description: <p>Coral genus</p>
http://lod.bco-dmo.org/id/dataset-parameter/935305.rdf
Name: ColonyID
Units: unitless
Description: <p>Colony ID (genotype)</p>
http://lod.bco-dmo.org/id/dataset-parameter/935306.rdf
Name: Treatment_nonnum
Units: unitless
Description: <p>Treatment label: Ambient, T1, T2, T3, T4 (see methodology for treatment code details).</p>
http://lod.bco-dmo.org/id/dataset-parameter/935307.rdf
Name: Treatment
Units: unitless
Description: <p>Numeric treatment identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/935308.rdf
Name: Replicate
Units: unitless
Description: <p>Replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/935309.rdf
Name: Temperature
Units: degrees Celsius (degC)
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/935310.rdf
Name: F0
Units: unitless
Description: <p>minimum fluorescence value</p>
http://lod.bco-dmo.org/id/dataset-parameter/935311.rdf
Name: Fm
Units: unitless
Description: <p>maximum amount of fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/935312.rdf
Name: Y
Units: unitless
Description: <p>Dark-acclimated photochemical yield (Fv/Fm) </p>
http://lod.bco-dmo.org/id/dataset-parameter/935313.rdf
Name: Label
Units: unitless
Description: <p>image filename with suffix _RGB (see Supplemental Files for images within Heron_STHS_photos.zip)</p>
http://lod.bco-dmo.org/id/dataset-parameter/935314.rdf
Name: Color_type
Units: unitless
Description: <p>colorspace</p>
http://lod.bco-dmo.org/id/dataset-parameter/935315.rdf
Name: Color
Units: unitless
Description: <p>color channel (R=red,G=green,B=blue)</p>
http://lod.bco-dmo.org/id/dataset-parameter/935316.rdf
Name: Name
Units: unitless
Description: <p>updated filename with color channel information added as a suffix _RGB_## (see Supplemental Files for images within Heron_STHS_photos.zip)</p>
http://lod.bco-dmo.org/id/dataset-parameter/935317.rdf
Name: Area1
Units: square pixels
Description: <p>area of selected image space</p>
http://lod.bco-dmo.org/id/dataset-parameter/935318.rdf
Name: Mean_frag
Units: unitless
Description: <p>mean pixel intensity across the coral fragment</p>
http://lod.bco-dmo.org/id/dataset-parameter/935319.rdf
Name: StdDev1
Units: unitless
Description: <p>standard deviation of pixel intensity</p>
http://lod.bco-dmo.org/id/dataset-parameter/935320.rdf
Name: Mode1
Units: unitless
Description: <p>mode of pixel intensity</p>
http://lod.bco-dmo.org/id/dataset-parameter/935321.rdf
Name: MinThr1
Units: unitless
Description: <p>minimum pixel intensity of color channel</p>
http://lod.bco-dmo.org/id/dataset-parameter/935322.rdf
Name: MaxThr1
Units: unitless
Description: <p>maximum pixel intensity of color channel</p>
http://lod.bco-dmo.org/id/dataset-parameter/935323.rdf
Name: Label_match
Units: unitless
Description: <p>updated filename (no suffix or extension). See Supplemental Files for images within Heron_STHS_photos.zip which contain the Label_match with added file extension .jpg</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
220783
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/9ffa945d-2598-4b0f-a5e3-d8a6b085752c/content
download
https://doi.org/10.26008/1912/bco-dmo.926887.1
download
onLine
dataset
<p>Acute heat stress experiment</p>
<p>A standardized temperature profile was used to measure heat tolerance in corals (e.g., (Voolstra et al. 2020; Cunning et al. 2021; Marzonie et al. 2022; Evensen et al. 2023)) with minor modification in temperature profiles. The climatological maximum monthly mean (MMM) of Heron Reef is 27.3°C (Weeks et al. 2008). A pilot experiment with all three genera indicated no difference in Fv/Fm between MMM, MMM+3°C and MMM+6°C, so the latter two treatments were increased to more accurately assess the decline in performance, such that the five treatments used here included ambient, MMM, MMM+4°C, MMM+6.5°C, and MMM+9°C. Generally, experiments began at ~12:00 with a 3-hr ramp to respective treatment temperatures (23°C, 27.3°C, 31.3°C, 33.8°C, 36.3°C), a 3-hr hold, and a 1-hr ramp down to MMM (Evensen et al. 2023) (Figure S1&nbsp;of&nbsp;Brown et al., 2024). Lights were turned off at the onset of the 1-hr ramp down to correspond with sunset. Due to experimental constraints (space, equipment, and time), only two treatments (n = 1 tank) were performed per day and each site was done in isolation. Accordingly, a complete assay took two days per site, with treatments tested each day selected randomly (Table S1, Figure S1&nbsp;of Brown et al., 2024). A fragment from each coral colony was randomly placed into each treatment, so that all colonies were present in each treatment. Temperatures were controlled using an Apex controller (Neptune Systems). Apex temperature probes were calibrated against a high-precision temperature probe (HANNA HI-98190; accuracy: ±0.4°C at 25°C; resolution: ± 0.10°C) at the onset of the experiment. Temperatures were also recorded using cross-calibrated temperature loggers (HOBO UA-001-64, accuracy: ± 0.29°C at 25°C). Photosynthetically active radiation (PAR) was static and controlled using aquarium lights (NICREW HyperReef LED, Shenzhen NiCai Technology Co.), averaging 250 µmol m-2 sec-1.&nbsp;</p>
<p>Physiological responses to acute heat stress</p>
<p>At the end of the ramp and after 1 h of darkness (~19:00), corals were assessed for dark-adapted photochemical yield (Fv/Fm) using a Diving-PAM (Walz GmbH) 5-mm diameter fiber-optic probe at a standardized distance (5 mm) above the coral tissue after Fo stabilized. Two random spots on either side of a single fragment were measured to obtain average measures of Fv/Fm. All readings with Fo values that were less than 110 were removed to avoid any false detections (Marzonie et al., 2022). The following morning at 07:00 corals were photographed with a color standard (WDKK Waterproof Color Chart, DGK Color Tools) to assess the effect of temperature on coral color, a proxy for relative chlorophyll density and bleaching severity(Winters et al. 2009; Voolstra et al. 2020).&nbsp;</p>
<p>Image analysis of coral color, a proxy for bleaching severity</p>
<p>Coral color was determined from each photograph in a semi-automated manner. Each photograph was first cropped to a standard size to remove excess background via a custom automated batch script in Adobe Photoshop (Version 21.1.2). Photographs were then loaded into ImageJ (v1.53c (Schneider et al. 2012) ), and the performance of 16 built-in segmentation models were tested on a sub-sample of coral images to remove the background of the cropped image, which was turned to black, thus leaving only the coral fragment. The segmentation model that best segmented all coral fragments from the background effectively with limited coral fragment cut off (Model Li) was then implemented on all images, which were batch processed using a custom image segmentation macro script modified from(Strock 2021). Once segmented, the script then extracted red pixel intensity of the fragment in RGB, HSB, and LAB color spaces. Finally, the mean red pixel intensity of the red color standard from the original (unsegmented) images was extracted from a region of interest drawn by hand in ImageJ. Pixel intensities of the coral and corresponding red standard were then converted to a ‘darkness’ score by subtracting the red channel 'brightness’ from the maximum value (255). The mean red channel darkness of each coral was then normalized by dividing by the mean red pixel darkness of the red color standard from the same photograph. These red-normalized color values were then used to calculate the changes in bleaching severity between species, sites and treatments. For visualization, the red-normalized color values were divided by the mean color under ambient (MMM) conditions for that species.<br />
<br />
<strong>Organism identifiers (Genus, Lifesciences Identifier [LSID]):</strong><br />
Pocillopora,&nbsp;urn:lsid:marinespecies.org:taxname:206938<br />
Porites,&nbsp;urn:lsid:marinespecies.org:taxname:206485<br />
Acropora,&nbsp;urn:lsid:marinespecies.org:taxname:205469</p>
Specified by the Principal Investigator(s)
<p>For more detailed information on analysis and results,&nbsp;please see: Brown, et al. (2024).</p>
Specified by the Principal Investigator(s)
* Tables imported into BCO-DMO data system from provided files "All sites yield data.csv" and "Color scores all HB2.csv.
* After discussion with data submitter, color score data was joined into the all sites yield table using the colonyID as a key(colony id, treatment).
** Missing data values are displayed differently based on the file format you download. They are blank in csv files, "NaN" in MatLab files, etc.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* file "ed50_revised.csv" renamed "ed50.csv" and attached to dataset as supplemental file.
* Site list with site name, site code, lat, lon was provided by email and joined into the data tables for this dataset.
* Submitter clarified that there are no images of ambient treatment corals since they were not imaged.
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
PI Supplied Instrument Name: PI Supplied Instrument Description:photochemical yield (Fv/Fm): Diving-PAM (Walz GmbH) Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
temperature loggers (HOBO UA-001-64)
temperature loggers (HOBO UA-001-64)
PI Supplied Instrument Name: temperature loggers (HOBO UA-001-64) PI Supplied Instrument Description:Temperatures were controlled using an Apex controller (Neptune Systems). Apex temperature probes were calibrated against a high-precision temperature probe (HANNA HI-98190; accuracy: ±0.4°C at 25°C; resolution: ± 0.10°C) at the onset of the experiment. Temperatures were also recorded using cross-calibrated temperature loggers (HOBO UA-001-64, accuracy: ± 0.29°C at 25°C). Instrument Name: Onset HOBO Pendant Temperature/Light Data Logger Instrument Short Name:Onset HOBO Pendant Temp/Light Instrument Description: The Onset HOBO (model numbers UA-002-64 or UA-001-64) is an in-situ instrument for wet or underwater applications. It supports light intensity, soil temperature, temperature, and water temperature. A two-channel logger with 10-bit resolution can record up to approximately 28,000 combined temperature and light measurements with 64K bytes memory. It has a polypropylene housing case. Uses an optical USB to transmit data. A solar radiation shield is used for measurement in sunlight. Temperature measurement range: -20 deg C to 70 deg C (temperature). Light measurement range: 0 to 320,000 lux. Temperature accuracy: +/- 0.53 deg C from 0 deg C to 50 deg C. Light accuracy: Designed for measurement of relative light levels. Water depth rating: 30 m.