http://lod.bco-dmo.org/id/dataset/996488
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
2026-04-08
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Zooplankton biomass and biovolume analysis from R/V Sally Ride cruise SR2408 in the Gulf of California in May 2024
2026-04-21
publication
2026-04-21
revision
BCO-DMO Linked Data URI
2026-04-21
creation
http://lod.bco-dmo.org/id/dataset/996488
Amy Elizabeth Maas
Bermuda Institute of Ocean Sciences
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: Maas, A. E. (2026) Zooplankton biomass and biovolume analysis from R/V Sally Ride cruise SR2408 in the Gulf of California in May 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-21 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/996488 [access date]
Zooplankton Biomass to Biovolume SR2408 Dataset Description: Methods and Sampling: <p>Individuals used in the Biovolume to Biomass dataset were collected May 15, 2024 at 26°22.348 N, 110°45.295 W. They were frozen at sea then returned to the lab where they were imaged on a ZooSCAN following the methods described in Maas et al. 2021 to obtain size-related metrics. After imaging each individual was weighed on a Mettler-Toledo XPR microbalance then dried for a minimum of 3 days in a drying oven &nbsp;at 55C. They were then weighed again to obtain dry mass.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2127299 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2127299
onGoing
Amy Elizabeth Maas
Bermuda Institute of Ocean Sciences
508-289-2462
17 Biological Station Ferry Reach
St.George's GE 01
Bermuda
amy.maas@asu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Type
WW
DW
Major
Minor
Area
Volume
ESD
Mettler-Toledo XPR microbalance
ZooSCAN ver. 3 (Hydroptic)
theme
None, User defined
taxon
wet_weight_biomass
dry_weight_biomass
length
area
volume
ESD (Equivalent spherical diameter)
featureType
BCO-DMO Standard Parameters
scale or balance
ZooSCAN
instrument
BCO-DMO Standard Instruments
SR2406
SR2407
SR2408
service
Deployment Activity
San Diego to La Paz
La Paz, Mexico
place
Locations
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.
Collaborative Research: Metabolic habitat barriers imposed on tropical diel vertical migrators
https://osprey.bco-dmo.org/project/856354
Collaborative Research: Metabolic habitat barriers imposed on tropical diel vertical migrators
<p><em>NSF Award Abstract:</em><br />
This project is seeking to define physiologically-accessible habitat for animals faced with changing ocean conditions. Many oceanic animals migrate daily from warm, oxygenated surface waters at night to deep, cold and hypoxic waters during the daytime, and these migrations play critical roles in oceanic ecology and biogeochemical cycles. Over their depth ranges, migrators face very different ecological and environmental demands that may lead to unique traits that in turn, influence how they respond to a warming ocean where oxygen minimum zones are also expanding. This study is combining ecological and physiological approaches during two expeditions to the Gulf of California. The investigators are measuring metabolic traits in a diverse suite of ocean animals that exhibit vertical migration to determine possible roles of oxygen and temperature in triggering changes in vertical and latitudinal distribution. They are also measuring species distributions in relation to environmental oxygen and temperature to determine ecologically-relevant thresholds of environmental tolerance. The project involves training and experiential learning for graduate and undergraduate students. In addition, engagement with educational experts and artists will generate media and lesson plans to support STEM education and Next Generation Science Standards. These activities leverage the Bermuda Institute of Ocean Sciences’ Databytes and Mid-Atlantic Robotics IN Education (MARINE) programs, designed to improve ocean literacy and technological fluency and targeting students from groups traditionally underrepresented in science. Project products also include a new level for a video game that introduces the concepts of how oxygen minimum zones influence animal distribution.</p>
<p>Climate change is driving poleward shifts in the distributions of marine animals. These shifting edges of the range of species habitats are often interpreted as a manifestation of oxygen limitation that is presumed to occur at high water temperatures due to a mismatch between physiological oxygen supply and thermodynamically-driven oxygen demand. However, recent work by the investigators suggests that oxygen supply has evolved to meet demand regardless of temperature. These opposing views predict very different thermal thresholds for range expansion. In this study, the investigators are employing a relationship between metabolic traits to infer a unique temperature sensitivity in tropical diel vertical migrators and to map their metabolically-available habitat in the Eastern Pacific. Specifically, the investigators propose that oxygen supply does not limit metabolism in tropical migrators, even in the oxygen minimum zone. Instead, they contend that the active metabolic rate for tropical migrators is highly sensitive to temperature, and that this creates a barrier to range expansion where the aerobic scope for growth and reproduction is insufficient in cold waters. This temperature sensitivity will also allow migrators to expand poleward to newly available habitat following modest warming, rather than simply being extirpated from their native tropical habitat by excess warming. This hypothesis, if supported, would transform our mechanistic understanding of species’ responses to climate change, amend our predictions of range expansion, and modify our assessment of migrator contributions to oceanic biogeochemical cycles in a warmer future ocean.</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>
Metabolism in Diel Migrators
largerWorkCitation
project
eng; USA
biota
oceans
San Diego to La Paz; La Paz, Mexico
-110.75492
-110.75492
26.37247
26.37247
2024-05-15
2024-05-15
Guaymas Basin, Gulf of California, Mexico
0
BCO-DMO catalogue of parameters from Zooplankton biomass and biovolume analysis from R/V Sally Ride cruise SR2408 in the Gulf of California in May 2024
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/996497.rdf
Name: Type
Units: unitless
Description: <p>broad taxonomic group</p>
http://lod.bco-dmo.org/id/dataset-parameter/996498.rdf
Name: WW
Units: mg
Description: <p>wet weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/996499.rdf
Name: DW
Units: mg
Description: <p>dry weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/996500.rdf
Name: Major
Units: mm
Description: <p>major axis length</p>
http://lod.bco-dmo.org/id/dataset-parameter/996501.rdf
Name: Minor
Units: mm
Description: <p>minor axis length</p>
http://lod.bco-dmo.org/id/dataset-parameter/996502.rdf
Name: Area
Units: mm²
Description: <p>area</p>
http://lod.bco-dmo.org/id/dataset-parameter/996503.rdf
Name: Volume
Units: mm³
Description: <p>volume, calculated as an ellipse</p>
http://lod.bco-dmo.org/id/dataset-parameter/996504.rdf
Name: ESD
Units: mm
Description: <p>estimated spherical diameter</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
https://osprey.bco-dmo.org/dataset/996488/data/download
download
onLine
dataset
<p>Individuals used in the Biovolume to Biomass dataset were collected May 15, 2024 at 26°22.348 N, 110°45.295 W. They were frozen at sea then returned to the lab where they were imaged on a ZooSCAN following the methods described in Maas et al. 2021 to obtain size-related metrics. After imaging each individual was weighed on a Mettler-Toledo XPR microbalance then dried for a minimum of 3 days in a drying oven &nbsp;at 55C. They were then weighed again to obtain dry mass.</p>
Specified by the Principal Investigator(s)
<p>Images were processed using the ZooProcess software to obtain morphological measurements.</p>
Specified by the Principal Investigator(s)
- Loaded data from "SR2406-2408 Biovolume to Biomass.xlsx" (sheet 1) using two-row headers, treating "" and "nd" as missing values, with Excel floating point error adjustment and formatting preservation
- Renamed fields: WW_mg to WW, DW_mg to DW, Major_mm to Major, Minor_mm to Minor, Area_mm2 to Area, Volume_mm3 to Volume, ESD_mm to ESD
- Export file as 996488_v1_sr2408_biovolume_biomass.csv
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
Mettler-Toledo XPR microbalance
Mettler-Toledo XPR microbalance
PI Supplied Instrument Name: Mettler-Toledo XPR microbalance PI Supplied Instrument Description:After imaging each individual was weighed on a Mettler-Toledo XPR microbalance then dried for a minimum of 3 days in a drying oven at 55C. They were then weighed again to obtain dry mass. Instrument Name: scale or balance Instrument Short Name: Instrument Description: Devices that determine the mass or weight of a sample. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB13/
ZooSCAN ver. 3 (Hydroptic)
ZooSCAN ver. 3 (Hydroptic)
PI Supplied Instrument Name: ZooSCAN ver. 3 (Hydroptic) PI Supplied Instrument Description:They were frozen at sea then returned to the lab where they were imaged on a Zooscan following the methods described in Maas et al. 2021 to obtain size-related metrics. Instrument Name: ZooSCAN Instrument Short Name: Instrument Description: Description excerpt from Hydroptic website
http://www.hydroptic.com/index.php/public/Page/product_item/ZOOSCAN
The ZooSCAN (CNRS patent) system makes use of scanner technology with custom lighting and a watertight scanning chamber into which liquid zooplankton samples can be placed. The scanner recovers a high-resolution, digitial image and the sample can be recovered without damage. These digital images can then be investigated by computer processing. While the resolution of the digitized zooplankton images is lower than the image obtained using a binocular microscope this technique has proved to be more than adequate for large sample sets. Identification of species is done by automatic comparison of the image (vignette) of each individual animal in the scanned image with a library data set which may be built by the investigator for each individual survey or imported from a previous survey. The latest machine learning algorithm allows high recognition levels even if we recommend complementary manual sorting to achieve a high number of taxonomic groups.
Cruise: SR2406
SR2406
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR2406
Brad Seibel
University of South Florida
Cruise: SR2407
SR2407
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR2407
Brad Seibel
University of South Florida
Cruise: SR2408
SR2408
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR2408
Brad Seibel
University of South Florida
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel