http://lod.bco-dmo.org/id/dataset/967934
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
2025-07-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Eye lens chemistry of fishes in the Baltic Sea collected 2019-2021 for Project Breathless
2025-07-11
publication
2025-07-11
revision
BCO-DMO Linked Data URI
2025-07-11
creation
http://lod.bco-dmo.org/id/dataset/967934
Karin Limburg
State University of New York College of Environmental Science and Forestry
principalInvestigator
Roxanne Razavi
State University of New York College of Environmental Science and Forestry
principalInvestigator
Yvette Heimbrand
Swedish University of Agricultural 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: Limburg, K., Heimbrand, Y., Razavi, R., Miraly, H. (2025) Eye lens chemistry of fishes in the Baltic Sea collected 2019-2021 for Project Breathless. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-07-11 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/967934 [access date]
Baltic fishes eye lens chemistry Dataset Description: <p>This dataset is part of Project Breathless, which brings together an interdisciplinary team of ecologists, economists and communication scholars to increase understanding of the impact of low oxygen dead zones in lakes and oceans.&nbsp; The project team focuses on how low oxygen conditions influence fish, their habitats and the food webs that support them, as well as ecosystem services, including fisheries production.</p>
<p>This dataset is one of three examining Baltic fishes using data&nbsp;collected during routine surveys for monitoring the status of fish stocks:</p>
<ul>
<li>Dataset 967907 (Baltic fishes stable isotopes and mercury) summarizes capture data as well as basic biological information; it also includes all stable isotopic ratio and total mercury data collected from muscle tissue (not from every fish).&nbsp;</li>
<li>Dataset 967925 (this dataset of Baltic fishes otolith chemistry)&nbsp;contains all of the Baltic Sea fish otolith chemistry data; it also includes data from 14 Icelandic cod otoliths that were used as an out-group for part of the study</li>
<li><strong>Dataset 967934 (this dataset of Baltic fishes eye lens chemistry)&nbsp;</strong>contains all of the eye lens chemistry data.</li>
</ul>
<p><em>(See Related Datasets section below for links)</em></p> Methods and Sampling: <p>Fish were collected during routine surveys performed for monitoring the status of fish stocks, either by national fishery management agencies (Department of Aquatic Resources, Swedish University of Agricultural Sciences, Icelandic Marine and Freshwater Research Institute) or international collaborative effort (Baltic International Trawl Survey). Fish were caught by trawl or by gillnet sets, then frozen for later processing.</p>
<p>In the lab, fish were measured for length and weighed. Sex and spawning stage were determined where possible. Otoliths and eye lenses were removed, cleaned, and stored until workup. Samples of dorsal muscle tissue were collected for mercury and stable isotope analysis and were dried to constant weight&nbsp;(see Related Datasets section below).&nbsp;</p>
<p>Otoliths and eye lenses were embedded in clean epoxy (Struers EpoFix), then sectioned to expose the core and polished. Trace elemental concentrations were quantified using a Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS). For both otoliths and eye lenses, a laser ablation transect was made across the polished sections from one edge to the other; the ablated material was swept via a helium carrier gas into an argon plasma, which ionized the material that was subsequently counted by a mass spectrometer in single-quadrupole mode. Transects were typically made with a 100-micron circular spot size, driven at a rate of 5-8 micron/second, fluence between 1.2 and 1.8 J/cm2, and a laser repetition rate of 10 Hz. Materials-appropriate standards were run periodically during each analysis day to calibrate and correct for instrument drift. Data files containing counts per second of each trace element were produced; each transect analysis had its own data file, but they have been concatenated here for archiving.</p>
<p><em>(For otolith chemistry, total mercury analyses, and stable isotopic ratio analyses, see the Related Datasets section below.)</em></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1923965 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1923965
onGoing
Karin Limburg
State University of New York College of Environmental Science and Forestry
315-470-6741
249 Illick Hall 1 Forestry Dr.
Syracuse
NY
13210
United States
klimburg@esf.edu
pointOfContact
Roxanne Razavi
State University of New York College of Environmental Science and Forestry
razavi@esf.edu
pointOfContact
Yvette Heimbrand
Swedish University of Agricultural Sciences
yvette.heimbrand@slu.se
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Fish_ID
FishID_synonym
Fish_ID_capture_iso_Hg
Species
Water_Body
ICES_subdivision
Site_Name
Latitude
Longitude
Nominal_Status
Capture_Year
Date_Collected
Date_Analyzed
Distance_from_core
Li
B
Na
Mg
P
S32
S34
Ca
Mn
Cu
Zn
Se
Br
Rb
Sr
I
Ba
Hg200
Hg202
Pb
Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS).
theme
None, User defined
sample identification
species scientific name (binomial)
water_body
region
site
latitude
longitude
site description
year
date
length
Lithium
Boron
Sodium
Magnesium
Phosphorus
Sulfur (S)
Calcium
Manganese
Copper
Zinc
selenium
bromine (Br)
Rubidium
Strontium
iodine_bio
Barium
total mercury
Lead
featureType
BCO-DMO Standard Parameters
Laser Ablation Inductively Coupled Plasma Mass Spectrometer
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.
Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation
https://osprey.bco-dmo.org/project/770460
Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation
<p><em>NSF Award Abstract:</em><br />
Ocean oxygen loss (deoxygenation) is increasing due to climate warming. This warming, together with nutrient loading, is causing many marine and freshwater systems to experience increasing episodes of hypoxia (low oxygen) of greater duration and intensity. Impacts on fish and fisheries have been difficult to quantify; direct observation has been challenged by a lack of long-term exposure indicators. This team has successfully refined the use of fish chemical biomarkers in fish otoliths (earstones) to directly assess lifetime hypoxia exposure in fishes. This project will those findings to look for additional biomarkers and models, to expand our understanding of how hypoxia affects fish and their food webs, contaminant transfers, and ecosystem services including economic impacts. The project includes a unique way of training students in science communication, posing the question: What forms of media and "messaging strategies" about deoxygenation are most effective at raising public awareness and understanding? Students are developing entries for PlanetForward's Storyfest, which is a contest to tell compelling stories to foster environmental understanding and solutions. Students from historically underrepresented, economically disadvantaged backgrounds are particularly sought out to participate. The investigators will engage with regional, national, and international management agencies and other relevant stakeholder groups to share information.</p>
<p>This project encompasses a novel, linked set of interdisciplinary studies of food webs, and ecosystem services assessment. The thematic questions explored in this project are: 1. How does hypoxia alter habitat use for fishes? 2. How does hypoxia-altered habitat use and habitat productivity change food webs? 3. How does hypoxia affect/enhance trophic transfer of methylmercury? 4. How do hypoxia-induced changes in food webs affect aquatic ecosystem services? The set of linked studies will employ chemical analyses of otoliths and eye lenses, combined with chemical analyses of muscle tissues (Questions 1 and 3), physiologically-structured food web modeling informed by monitoring time-series (Questions 2 and 4), and a scoping workshop to address ecosystem services (Question 4). The investigators are using a "trans-basin" comparative approach to system-specific responses, studying fishes in Lake Erie, the Baltic Sea, and a Gulf of Mexico estuary. They study three species from each system that represent different degrees of benthic reliance, to discern differential responses to the increasingly hypoxic environment. This research provides novel insight about variable biotic responses to oxygen loss and the impacts on ecosystem functioning.</p>
HypoxiDigm / Project Breathless
largerWorkCitation
project
eng; USA
biota
oceans
13.27433
18.83864
55.18133
60.68278
2019-10-02
2021-10-20
Central Baltic Sea; Lake Erie; and Lavaca Bay, Texas
0
BCO-DMO catalogue of parameters from Eye lens chemistry of fishes in the Baltic Sea collected 2019-2021 for Project Breathless
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/972316.rdf
Name: Fish_ID
Units: unitless
Description: <p>Unique identifier for the sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/972317.rdf
Name: FishID_synonym
Units: unitless
Description: <p>Unique identifier synonym</p>
http://lod.bco-dmo.org/id/dataset-parameter/972318.rdf
Name: Fish_ID_capture_iso_Hg
Units: unitless
Description: <p>Unique identifier for the sample (from isotopes dataset)</p>
http://lod.bco-dmo.org/id/dataset-parameter/972319.rdf
Name: Species
Units: unitless
Description: <p>Scientific name of the fish species</p>
http://lod.bco-dmo.org/id/dataset-parameter/972320.rdf
Name: Water_Body
Units: unitless
Description: <p>Water body of sampling (Baltic or North Atlantic)</p>
http://lod.bco-dmo.org/id/dataset-parameter/972321.rdf
Name: ICES_subdivision
Units: unitless
Description: <p>Geographical area; the statistical subdivision given by the International Council for the Exploration of the Seas (ICES)</p>
http://lod.bco-dmo.org/id/dataset-parameter/972322.rdf
Name: Site_Name
Units: unitless
Description: <p>Site name</p>
http://lod.bco-dmo.org/id/dataset-parameter/972323.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of sampling site</p>
http://lod.bco-dmo.org/id/dataset-parameter/972324.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of sampling site</p>
http://lod.bco-dmo.org/id/dataset-parameter/972325.rdf
Name: Nominal_Status
Units: unitless
Description: <p>Indicates oxygen conditions of the water at the sampling site (Hypoxic or Normoxic)</p>
http://lod.bco-dmo.org/id/dataset-parameter/972326.rdf
Name: Capture_Year
Units: unitless
Description: <p>Year of capture</p>
http://lod.bco-dmo.org/id/dataset-parameter/972327.rdf
Name: Date_Collected
Units: unitless
Description: <p>Date of collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/972328.rdf
Name: Date_Analyzed
Units: unitless
Description: <p>Date the chemical analyses were performed</p>
http://lod.bco-dmo.org/id/dataset-parameter/972329.rdf
Name: Distance_from_core
Units: micrometers (um)
Description: <p>Distance from the core; Lenses were analyzed from one edge, through the core, and out to the edge on another axix that was undamaged (lenses are fragile). The core is used as the reference and is denoted as 0.</p>
http://lod.bco-dmo.org/id/dataset-parameter/972330.rdf
Name: Li
Units: parts per million (ppm)
Description: <p>Lithium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972331.rdf
Name: B
Units: parts per million (ppm)
Description: <p>Boron concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972332.rdf
Name: Na
Units: parts per million (ppm)
Description: <p>Sodium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972333.rdf
Name: Mg
Units: parts per million (ppm)
Description: <p>Magnesium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972334.rdf
Name: P
Units: parts per million (ppm)
Description: <p>Phosphorus concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972335.rdf
Name: S32
Units: parts per million (ppm)
Description: <p>Sulfur concentration calculated on mass 32</p>
http://lod.bco-dmo.org/id/dataset-parameter/972336.rdf
Name: S34
Units: parts per million (ppm)
Description: <p>Sulfur concentration calculated on mass 34</p>
http://lod.bco-dmo.org/id/dataset-parameter/972337.rdf
Name: Ca
Units: parts per million (ppm)
Description: <p>Calcium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972338.rdf
Name: Mn
Units: parts per million (ppm)
Description: <p>Manganese concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972339.rdf
Name: Cu
Units: parts per million (ppm)
Description: <p>Copper concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972340.rdf
Name: Zn
Units: parts per million (ppm)
Description: <p>Zinc concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972341.rdf
Name: Se
Units: parts per million (ppm)
Description: <p>Selenium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972342.rdf
Name: Br
Units: parts per million (ppm)
Description: <p>Bromine concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972343.rdf
Name: Rb
Units: parts per million (ppm)
Description: <p>Rubidium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972344.rdf
Name: Sr
Units: parts per million (ppm)
Description: <p>Strontium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972345.rdf
Name: I
Units: parts per million (ppm)
Description: <p>Iodine concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972346.rdf
Name: Ba
Units: parts per million (ppm)
Description: <p>Barium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/972347.rdf
Name: Hg200
Units: parts per million (ppm)
Description: <p>Mercury concentration calculated on mass 200</p>
http://lod.bco-dmo.org/id/dataset-parameter/972348.rdf
Name: Hg202
Units: parts per million (ppm)
Description: <p>Mercury concentration calculated on mass 202</p>
http://lod.bco-dmo.org/id/dataset-parameter/972349.rdf
Name: Pb
Units: parts per million (ppm)
Description: <p>Lead concentration</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/967934/data/download
download
onLine
dataset
<p>Fish were collected during routine surveys performed for monitoring the status of fish stocks, either by national fishery management agencies (Department of Aquatic Resources, Swedish University of Agricultural Sciences, Icelandic Marine and Freshwater Research Institute) or international collaborative effort (Baltic International Trawl Survey). Fish were caught by trawl or by gillnet sets, then frozen for later processing.</p>
<p>In the lab, fish were measured for length and weighed. Sex and spawning stage were determined where possible. Otoliths and eye lenses were removed, cleaned, and stored until workup. Samples of dorsal muscle tissue were collected for mercury and stable isotope analysis and were dried to constant weight&nbsp;(see Related Datasets section below).&nbsp;</p>
<p>Otoliths and eye lenses were embedded in clean epoxy (Struers EpoFix), then sectioned to expose the core and polished. Trace elemental concentrations were quantified using a Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS). For both otoliths and eye lenses, a laser ablation transect was made across the polished sections from one edge to the other; the ablated material was swept via a helium carrier gas into an argon plasma, which ionized the material that was subsequently counted by a mass spectrometer in single-quadrupole mode. Transects were typically made with a 100-micron circular spot size, driven at a rate of 5-8 micron/second, fluence between 1.2 and 1.8 J/cm2, and a laser repetition rate of 10 Hz. Materials-appropriate standards were run periodically during each analysis day to calibrate and correct for instrument drift. Data files containing counts per second of each trace element were produced; each transect analysis had its own data file, but they have been concatenated here for archiving.</p>
<p><em>(For otolith chemistry, total mercury analyses, and stable isotopic ratio analyses, see the Related Datasets section below.)</em></p>
Specified by the Principal Investigator(s)
<p>Otolith and eye lens trace elemental data were processed in Excel files. Calibrations made over the course of the day were fit to plots of the calibrants as a function of time to produce drift corrections. Processing of the raw data included removal of spurious spikes (&gt; 1 SD) and subsequent interpolation. Raw data were then calibrated and drift-corrected simultaneously, to produce data as parts per million.</p>
Specified by the Principal Investigator(s)
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
Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS).
Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS).
PI Supplied Instrument Name: Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS). PI Supplied Instrument Description:Trace elements were analyzed with a Teledyne-Cetac (formerly Photon) Analyte Excite 193-nm excimer laser ablation (LA) unit coupled to a Thermo Scientific iCAP TQ inductively coupled plasma mass spectrometer (ICP-MS).
Instrument Name: Laser Ablation Inductively Coupled Plasma Mass Spectrometer Instrument Short Name:LA-ICP-MS Instrument Description: Laser ablation-inductively coupled plasma-mass spectrometer (LA-ICP-MS) is an instrument that utilizes a laser to vaporize a small amount of solid material for elemental analysis. The process begins with the laser vaporizing a portion of the sample, which is then carried into a plasma where it is atomized and ionized. The resulting ions are analyzed in a mass spectrometer, producing a mass spectrum that reveals the relative abundances of different elements.