http://lod.bco-dmo.org/id/dataset/965079
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
2025-06-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Juvenile Black Sea Bass (Centropristis striata) winter survival and lipid accumulation from a laboratory mesocosm experiment (Oct 2022 to May 2023) with individuals collected from Long Island Sound
2025-06-24
publication
2025-06-24
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-06-26
publication
https://doi.org/10.26008/1912/bco-dmo.965079.1
Hannes Baumann
University of Connecticut
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: Zavell, M. D., Baumann, H. (2025) Juvenile Black Sea Bass (Centropristis striata) winter survival and lipid accumulation from a laboratory mesocosm experiment (Oct 2022 to May 2023) with individuals collected from Long Island Sound. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-06-24 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.965079.1 [access date]
Juvenile Black Sea Bass Laboratory Experiment (2022-2023) Dataset Description: Methods and Sampling: <p>Juvenile Black sea bass (BSB, <em>Centropristis striata</em>) were caught on September 9th via beach seine (30 × 2 meters (m)) in Mumford Cove (41°19'25"N 72°01'07"W), a shallow protected bay with extensive eelgrass cover in eastern Long Island Sound (LIS).</p>
<p><strong>Experiment</strong>. This study quantified juvenile BSB growth and lipid accumulation at constant food rations and over a seasonal temperature profile for Long Island Sound over eight months (10/12/2022 – 5/16/2023). On October 12th, 2022, we determined initial total length (TL) and wet weight (wW) on briefly anesthetized specimens (20 milligrams per liter MS-222) and randomly selected 63 individuals for the experiment. The remaining 35 fish were euthanized as a baseline sample for subsequent lipid analysis. Each juvenile was randomly distributed to an individual 20-liter (L) rearing container with mesh-screened holes, an air stone, and a PVC hide. A total of 9 individual rearing containers were allocated to one of 6 larger 600-liter flow-through tanks (4208-liters per hour; fully replaced 7x hour). Fish were fed Otohime C2 (51% protein, 11% fat, 3.5% fiber, 15% ash) at a target ration of 5% of their wW 3x per week and uneaten food was siphoned 24 hours after feeding. Temperature was recorded every 30 minutes by a HOBO logger in each individual tank (Standard Deviation between tanks = 0.17°C). At the beginning of the experiment, mean daily water temperatures began at 18 degrees Celsius (°C) before rising ~ 5.5-6°C in early February and rising to ~11°C in May. Photoperiod was changed by 30 minutes weekly, to mimic local conditions. At the start of the experiment in October, the photoperiod was 11.5L:12.5D before dropping to a low of 9L:15D in December and rising to 14.5L:9.5D in May of 2023. Throughout the experiment, specimens were briefly anesthetized every 20 to 40 days and re-measured in length (TL; millimeters (mm)) and weight (wW; grams (g)) to calculate monthly absolute and specific growth rates. At the end of the experiment, all surviving fish were euthanized, measured for TL and wW, and frozen for lipid extractions. Throughout the experiment, 10 specimens escaped their rearing containers and were not included in subsequent analyses.</p>
<p><strong>Response traits.</strong> Initial, monthly, and final measurements of individual fish (TL, wW) were used to calculate total (final – initial), cumulative (end of month – initial), and/or serial (end of month – start of month) growth (e.g., cumulative and serial DTL for month 2 = TL<sub>d61</sub> – TL<sub>d0 </sub>and TL<sub>d61</sub> – TL<sub>d31</sub>), respectively) and average daily growth rates (growth/days in growth interval). Specific growth rates (SGR; % wW d<sup>-1</sup>) were calculated similarly but used ln(wW) at each time period (e.g., 100*[ln(wW<sub>d61</sub>)-ln(wW<sub>d31</sub>)]).</p>
<p>Lipid, lean, and ash dry weights of each surviving BSB juvenile and those of the baseline samples were quantified via proximate analysis. Whole specimens were first transferred to -80°C for one week, then freeze-dried at -50°C for one week and re-measured for whole body dry weight (dW<sub>b</sub>, 0.001 g). Dried specimens were then loaded into pre-weighed Alundum medium-porosity extraction thimbles and transferred into a custom-designed Soxhlet apparatus, where they were bathed in petroleum ether for a total of 3.5 h to extract all metabolically accessible lipids (15-minute cycles of bathing, flushing, and ether replacement). After extraction, thimbles were dried overnight at 60°C and re-weighed to determine DdW, which equaled the total lipid content (dW<sub>Lipid</sub>, mg) of each specimen after accounting for any tissue loss during transfer from vial into thimble. Thimbles were then placed in a muffle furnace for 4 hours at 550°C and re-weighed, with DdW during this second step corresponding to a fish's lean mass (dW<sub>Lean</sub>, mg), again after accounting for any tissue loss during transfer from vial into thimble. The difference between the final weight and the pre-weighed empty thimble equaled ash (dW<sub>Ash</sub>, mg), i.e., the inorganic fraction of each individual. Total energy content (ED; Kcal; Brett and Groves 1979) was then calculated as (dW<sub>Lean</sub> * 4.8) + (dW<sub>Lipid</sub> * 9.45) and total energy density (ED) was calculated as EC / dW.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1536336 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1536336
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1756751 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1756751
completed
Hannes Baumann
University of Connecticut
860-405-9297
Department of Marine Sciences 1080 Shennecossett Road
Groton
CT
06340-6048
USA
hannes.baumann@uconn.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Collection_Location
Longitutde
Latitude
Species
Collection_Date
Sample_Date
Time_Point
Month
Tank
BSB_ID
Mean_Temp
SD_Temp
Days
S_or_M
Days_Alive
TL_ini
TL_final
wW_ini
wW_final
estdW_ini
dW_final
estdW_final
Days_Between_Measurements
D_TL
D_wW
SGR_wW
GR
Lipid
Prop_Lipid
Lean
Prop_Lean
Ash
Prop_Ash
Kcal
ED
Notes
Soxhlet apparatus
HOBO temperature loggers (Onset MX®)
theme
None, User defined
site
longitude
latitude
species scientific name (binomial)
date
time_point
month of year
tank
sample identification
water temperature at measurement depth
days
sample description
length
weight
growth
lipids in biota
protein concentration
ash
comments
featureType
BCO-DMO Standard Parameters
Soxhlet extractor
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.
Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish
https://osprey.bco-dmo.org/project/650184
Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish
<p><em>Description from NSF award abstract:</em><br />
Coastal marine ecosystems provide a number of important services and resources for humans, and at the same time, coastal waters are subject to environmental stressors such as increases in ocean acidification and reductions in dissolved oxygen. The effects of these stressors on coastal marine organisms remain poorly understood because most research to date has examined the sensitivity of species to one factor, but not to more than one in combination. This project will determine how a model fish species, the Atlantic silverside, will respond to observed and predicted levels of dissolved carbon dioxide (CO2) and oxygen (O2). Shorter-term experiments will measure embryo and larval survival, growth, and metabolism, and determine whether parents experiencing stressful conditions produce more robust offspring. Longer-term experiments will study the consequences of ocean acidification over the entire life span by quantifying the effects of high-CO2 conditions on the ratio of males to females, lifetime growth, and reproductive investment. These studies will provide a more comprehensive view of how multiple stressors may impact populations of Atlantic silversides and potentially other important forage fish species. This collaborative project will support and train three graduate students at the University of Connecticut and the Stony Brook University (NY), two institutions that attract students from minority groups. It will also provide a variety of opportunities for undergraduates to participate in research and the public to learn about the study, through summer research projects, incorporation in the "Women in Science and Engineering" program, and interactive displays of environmental data from monitoring buoys. The two early-career investigators are committed to increasing ocean literacy and awareness of NSF-funded research through public talks and presentations.</p>
<p>This project responds to the recognized need for multi-stressor assessments of species sensitivities to anthropogenic environmental change. It will combine environmental monitoring with advanced experimental approaches to characterize early and whole life consequences of acidification and hypoxia in the Atlantic silverside (Menidia menidia), a valued model species and important forage fish along most of the US east coast. Experiments will employ a newly constructed, computer-controlled fish rearing system to allow independent and combined manipulation of seawater pCO2 and dissolved oxygen (DO) content and the application of static and fluctuating pCO2 and DO levels that were chosen to represent contemporary and potential future scenarios in productive coastal habitats. First CO2, DO, and CO2 × DO dependent reaction norms will be quantified for fitness-relevant early life history (ELH) traits including pre- and post-hatch survival, time to hatch, post-hatch growth, by rearing offspring collected from wild adults from fertilization to 20 days post hatch (dph) using a full factorial design of 3 CO2 × 3 DO levels. Second, the effects of tidal and diel CO2 × DO fluctuations of different amplitudes on silverside ELH traits will be quantified. To address knowledge gaps regarding the CO2-sensitivity in this species, laboratory manipulations of adult spawner environments and reciprocal offspring exposure experiments will elucidate the role of transgenerational plasticity as a potential short-term mechanism to cope with changing environments. To better understand the mechanisms of fish early life CO2-sensitivity, the effects of temperature × CO2 on pre- and post-hatch metabolism will be robustly quantified. The final objective is to rear silversides from fertilization to maturity under different CO2 levels and assess potential CO2-effects on sex ratio and whole life growth and fecundity.</p>
<p><strong>Related references:</strong><br />
Gobler, C.J. and Baumann, H. (2016) Hypoxia and acidification in ocean ecosystems: Coupled dynamics and effects on marine life. Biology Letters 12:20150976. doi:<a href="http://dx.doi.org/10.1098/rsbl.2015.0976" target="_blank">10.1098/rsbl.2015.0976</a></p>
<p>Baumann, H. (2016) Combined effects of ocean acidification, warming, and hypoxia on marine organisms. Limnology and Oceanography e-Lectures 6:1-43. doi:<a href="http://dx.doi.org/10.1002/loe2.10002" target="_blank">10.1002/loe2.10002</a></p>
<p>Depasquale, E., Baumann, H., and Gobler, C.J. (2015) Variation in early life stage vulnerability among Northwest Atlantic estuarine forage fish to ocean acidification and low oxygen Marine Ecology Progress Series 523: 145–156.doi:<a href="http://dx.doi.org/10.3354/meps11142" target="_blank">10.3354/meps11142</a></p>
HYPOA
largerWorkCitation
project
Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline
https://befel.marinesciences.uconn.edu/2018/03/07/research-news-new-nsf-grant-to-study-silverside-genes/
Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline
<p>NSF Abstract:</p>
<p>Oceans are large, open habitats, and it was previously believed that their lack of obvious barriers to dispersal would result in extensive mixing, preventing organisms from adapting genetically to particular habitats. It has recently become clear, however, that many marine species are subdivided into multiple populations that have evolved to thrive best under contrasting local environmental conditions. Nevertheless, we still know very little about the genomic mechanisms that enable divergent adaptations in the face of ongoing intermixing. This project focuses on the Atlantic silverside (Menidia menidia), a small estuarine fish that exhibits a remarkable degree of local adaptation in growth rates and a suite of other traits tightly associated with a climatic gradient across latitudes. Decades of prior lab and field studies have made Atlantic silverside one of the marine species for which we have the best understanding of evolutionary tradeoffs among traits and drivers of selection causing adaptive divergence. Yet, the underlying genomic basis is so far completely unknown. The investigators will integrate whole genome sequencing data from wild fish sampled across the distribution range with breeding experiments in the laboratory to decipher these genomic underpinnings. This will provide one of the most comprehensive assessments of the genomic basis for local adaptation in the oceans to date, thereby generating insights that are urgently needed for better predictions about how species can respond to rapid environmental change. The project will provide interdisciplinary training for a postdoc as well as two graduate and several undergraduate students from underrepresented minorities. The findings will also be leveraged to develop engaging teaching and outreach materials (e.g. a video documentary and popular science articles) to promote a better understanding of ecology, evolution, and local adaptation among science students and the general public.</p>
<p>The goal of the project is to characterize the genomic basis and architecture underlying local adaptation in M. menidia and examine how the adaptive divergence is shaped by varying levels of gene flow and maintained over ecological time scales. The project is organized into four interconnected components. Part 1 examines fine-scale spatial patterns of genomic differentiation along the adaptive cline to a) characterize the connectivity landscape, b) identify genomic regions under divergent selection, and c) deduce potential drivers and targets of selection by examining how allele frequencies vary in relation to environmental factors and biogeographic features. Part 2 maps key locally adapted traits to the genome to dissect their underlying genomic basis. Part 3 integrates patterns of variation in the wild (part 1) and the mapping of traits under controlled conditions (part 2) to a) examine how genomic architectures underlying local adaptation vary across gene flow regimes and b) elucidating the potential role of chromosomal rearrangements and other tight linkage among adaptive alleles in facilitating adaptation. Finally, part 4 examines dispersal - selection dynamics over seasonal time scales to a) infer how selection against migrants and their offspring maintains local adaptation despite homogenizing connectivity and b) validate candidate loci for local adaptation. Varying levels of gene flow across the species range create a natural experiment for testing general predictions about the genomic mechanisms that enable adaptive divergence in the face of gene flow. The findings will therefore have broad implications and will significantly advance our understanding of the role genomic architecture plays in modifying the gene flow - selection balance within coastal environments.</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>
GenomAdapt
largerWorkCitation
project
eng; USA
oceans
-72.001944
-72.001944
41.323611
41.323611
2022-09-09
2023-05-16
From projects that focused on the following 2 locations: 1. Eastern Long Island Sound, CT, USA 2. Eastern coastline of North America
0
BCO-DMO catalogue of parameters from Juvenile Black Sea Bass (Centropristis striata) winter survival and lipid accumulation from a laboratory mesocosm experiment (Oct 2022 to May 2023) with individuals collected from Long Island Sound
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/965206.rdf
Name: Collection_Location
Units: unitless
Description: <p>Site name; Mumford Cove, Groton, CT</p>
http://lod.bco-dmo.org/id/dataset-parameter/965207.rdf
Name: Longitutde
Units: decimal degrees
Description: <p>Longitude of collection site in decimal degrees (negative values = West)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965208.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of collection site in decimal degrees (positive values = North)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965209.rdf
Name: Species
Units: unitless
Description: <p>Species name; Black Sea Bass (Centropristis striata)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965210.rdf
Name: Collection_Date
Units: unitless
Description: <p>Date of juvenile collection in the wild</p>
http://lod.bco-dmo.org/id/dataset-parameter/965211.rdf
Name: Sample_Date
Units: unitless
Description: <p>Date of juvenile sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/965212.rdf
Name: Time_Point
Units: unitless
Description: <p>Time Point when fish were measured (0-7)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965213.rdf
Name: Month
Units: unitless
Description: <p>Month of sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/965214.rdf
Name: Tank
Units: unitless
Description: <p>Experimental Tank Identification (A-F)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965215.rdf
Name: BSB_ID
Units: unitless
Description: <p>ID of each BSB individual</p>
http://lod.bco-dmo.org/id/dataset-parameter/965216.rdf
Name: Mean_Temp
Units: degrees Celsius
Description: <p>Mean temperature in each time point</p>
http://lod.bco-dmo.org/id/dataset-parameter/965217.rdf
Name: SD_Temp
Units: degrees Celsius
Description: <p>Standard Deviation of temperature in each time point</p>
http://lod.bco-dmo.org/id/dataset-parameter/965218.rdf
Name: Days
Units: number of days
Description: <p>Number of days since the beginning of the experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/965219.rdf
Name: S_or_M
Units: unitless
Description: <p>Denotes whether specimen survived (S) until the end of the experiment of was sampled before as a mortality (M)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965220.rdf
Name: Days_Alive
Units: number of days
Description: <p>Number of days that a specimen was alive</p>
http://lod.bco-dmo.org/id/dataset-parameter/965221.rdf
Name: TL_ini
Units: degrees Celsius
Description: <p>Total length at each experiment time point</p>
http://lod.bco-dmo.org/id/dataset-parameter/965222.rdf
Name: TL_final
Units: millimeters (mm)
Description: <p>Total length at experiment end</p>
http://lod.bco-dmo.org/id/dataset-parameter/965223.rdf
Name: wW_ini
Units: grams (g)
Description: <p>Wet weight at each experiment time point</p>
http://lod.bco-dmo.org/id/dataset-parameter/965224.rdf
Name: wW_final
Units: grams (g)
Description: <p>Wet weight at experiment end</p>
http://lod.bco-dmo.org/id/dataset-parameter/965225.rdf
Name: estdW_ini
Units: grams (g)
Description: <p>Estimated dry weight at each time point (estdW = 0.0269 + wW_ini*0.2448)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965226.rdf
Name: dW_final
Units: grams (g)
Description: <p>Dry weight of experiment survivors following freeze drying</p>
http://lod.bco-dmo.org/id/dataset-parameter/965227.rdf
Name: estdW_final
Units: grams (g)
Description: <p>Estimated dry weight of mortalities at time of death (estdW_final = 0.0269 _ wW_final*0.2448)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965228.rdf
Name: Days_Between_Measurements
Units: number of days
Description: <p>Number of days between each time point</p>
http://lod.bco-dmo.org/id/dataset-parameter/965229.rdf
Name: D_TL
Units: millimeters (mm)
Description: <p>Change in total length between time points</p>
http://lod.bco-dmo.org/id/dataset-parameter/965230.rdf
Name: D_wW
Units: grams (g)
Description: <p>Change in wet weight between time points</p>
http://lod.bco-dmo.org/id/dataset-parameter/965231.rdf
Name: SGR_wW
Units: percent per day (% d^-1)
Description: <p>Specific growth rate in wet weight (SGR_wW = [ln(wW_final)-ln(wW_ini)]*100</p>
http://lod.bco-dmo.org/id/dataset-parameter/965232.rdf
Name: GR
Units: millimeters per day (mm/d)
Description: <p>Absolute growth in total length (GR = [Δ TL_ini between time points] / Days_Between_Measurements)</p>
http://lod.bco-dmo.org/id/dataset-parameter/965233.rdf
Name: Lipid
Units: milligrams (mg)
Description: <p>Specimen lipid content</p>
http://lod.bco-dmo.org/id/dataset-parameter/965234.rdf
Name: Prop_Lipid
Units: percent (%)
Description: <p>Lipid / dW_final * 100</p>
http://lod.bco-dmo.org/id/dataset-parameter/965235.rdf
Name: Lean
Units: milligrams (mg)
Description: <p>Specimen protein (aka lean) content</p>
http://lod.bco-dmo.org/id/dataset-parameter/965236.rdf
Name: Prop_Lean
Units: percent (%)
Description: <p>Lean / dW_final * 100</p>
http://lod.bco-dmo.org/id/dataset-parameter/965237.rdf
Name: Ash
Units: milligrams (mg)
Description: <p>Specimen ash (aka inorganic) content</p>
http://lod.bco-dmo.org/id/dataset-parameter/965238.rdf
Name: Prop_Ash
Units: percent (%)
Description: <p>Ash / dW_final *100</p>
http://lod.bco-dmo.org/id/dataset-parameter/965239.rdf
Name: Kcal
Units: kilocalorie (kcal)
Description: <p>Specimen caloric content (Kcal = [Lean*4.8] + [Lipid*9.45]</p>
http://lod.bco-dmo.org/id/dataset-parameter/965240.rdf
Name: ED
Units: Kcal per gram dW (Kcal gram dW^-1)
Description: <p>Kcal / dW_final</p>
http://lod.bco-dmo.org/id/dataset-parameter/965241.rdf
Name: Notes
Units: unitless
Description: <p>Notes</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
96301
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/52e2eb12-400e-48ba-a242-9aba2b813352/content
download
https://doi.org/10.26008/1912/bco-dmo.965079.1
download
onLine
dataset
<p>Juvenile Black sea bass (BSB, <em>Centropristis striata</em>) were caught on September 9th via beach seine (30 × 2 meters (m)) in Mumford Cove (41°19'25"N 72°01'07"W), a shallow protected bay with extensive eelgrass cover in eastern Long Island Sound (LIS).</p>
<p><strong>Experiment</strong>. This study quantified juvenile BSB growth and lipid accumulation at constant food rations and over a seasonal temperature profile for Long Island Sound over eight months (10/12/2022 – 5/16/2023). On October 12th, 2022, we determined initial total length (TL) and wet weight (wW) on briefly anesthetized specimens (20 milligrams per liter MS-222) and randomly selected 63 individuals for the experiment. The remaining 35 fish were euthanized as a baseline sample for subsequent lipid analysis. Each juvenile was randomly distributed to an individual 20-liter (L) rearing container with mesh-screened holes, an air stone, and a PVC hide. A total of 9 individual rearing containers were allocated to one of 6 larger 600-liter flow-through tanks (4208-liters per hour; fully replaced 7x hour). Fish were fed Otohime C2 (51% protein, 11% fat, 3.5% fiber, 15% ash) at a target ration of 5% of their wW 3x per week and uneaten food was siphoned 24 hours after feeding. Temperature was recorded every 30 minutes by a HOBO logger in each individual tank (Standard Deviation between tanks = 0.17°C). At the beginning of the experiment, mean daily water temperatures began at 18 degrees Celsius (°C) before rising ~ 5.5-6°C in early February and rising to ~11°C in May. Photoperiod was changed by 30 minutes weekly, to mimic local conditions. At the start of the experiment in October, the photoperiod was 11.5L:12.5D before dropping to a low of 9L:15D in December and rising to 14.5L:9.5D in May of 2023. Throughout the experiment, specimens were briefly anesthetized every 20 to 40 days and re-measured in length (TL; millimeters (mm)) and weight (wW; grams (g)) to calculate monthly absolute and specific growth rates. At the end of the experiment, all surviving fish were euthanized, measured for TL and wW, and frozen for lipid extractions. Throughout the experiment, 10 specimens escaped their rearing containers and were not included in subsequent analyses.</p>
<p><strong>Response traits.</strong> Initial, monthly, and final measurements of individual fish (TL, wW) were used to calculate total (final – initial), cumulative (end of month – initial), and/or serial (end of month – start of month) growth (e.g., cumulative and serial DTL for month 2 = TL<sub>d61</sub> – TL<sub>d0 </sub>and TL<sub>d61</sub> – TL<sub>d31</sub>), respectively) and average daily growth rates (growth/days in growth interval). Specific growth rates (SGR; % wW d<sup>-1</sup>) were calculated similarly but used ln(wW) at each time period (e.g., 100*[ln(wW<sub>d61</sub>)-ln(wW<sub>d31</sub>)]).</p>
<p>Lipid, lean, and ash dry weights of each surviving BSB juvenile and those of the baseline samples were quantified via proximate analysis. Whole specimens were first transferred to -80°C for one week, then freeze-dried at -50°C for one week and re-measured for whole body dry weight (dW<sub>b</sub>, 0.001 g). Dried specimens were then loaded into pre-weighed Alundum medium-porosity extraction thimbles and transferred into a custom-designed Soxhlet apparatus, where they were bathed in petroleum ether for a total of 3.5 h to extract all metabolically accessible lipids (15-minute cycles of bathing, flushing, and ether replacement). After extraction, thimbles were dried overnight at 60°C and re-weighed to determine DdW, which equaled the total lipid content (dW<sub>Lipid</sub>, mg) of each specimen after accounting for any tissue loss during transfer from vial into thimble. Thimbles were then placed in a muffle furnace for 4 hours at 550°C and re-weighed, with DdW during this second step corresponding to a fish's lean mass (dW<sub>Lean</sub>, mg), again after accounting for any tissue loss during transfer from vial into thimble. The difference between the final weight and the pre-weighed empty thimble equaled ash (dW<sub>Ash</sub>, mg), i.e., the inorganic fraction of each individual. Total energy content (ED; Kcal; Brett and Groves 1979) was then calculated as (dW<sub>Lean</sub> * 4.8) + (dW<sub>Lipid</sub> * 9.45) and total energy density (ED) was calculated as EC / dW.</p>
Specified by the Principal Investigator(s)
- Converted original file "BCO-DMO-Datafile.xlsx" to CSV.
- Converted date columns to YYYY-MM-DD format.
- Renamed fields to comply with BCO-DMO naming conventions.
- Replaced the "#REF!" values on row 352 as specified by submitter ("Lean" = 2016.971; "Prop_Lean" = 68.2793152; "Kcal" = 13.68737; "ED" = 11.07392).
- Saved the final file as "965079_v1_juvenile_bsb_exp.csv".
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
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For questions regarding this resource, please contact BCO-DMO via the email address provided.
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Soxhlet apparatus
Soxhlet apparatus
PI Supplied Instrument Name: Soxhlet apparatus PI Supplied Instrument Description:Custom-designed Soxhlet apparatus for Lipid/Lean analyses Instrument Name: Soxhlet extractor Instrument Short Name: Instrument Description: A Soxhlet extractor is a piece of laboratory apparatus designed for the extraction of a lipid from a solid material. The solid is placed in a filter paper thimble which is then placed into the main chamber of the Soxhlet extractor. The solvent (heated to reflux) travels into the main chamber and the partially soluble components are slowly transferred to the solvent.
HOBO temperature loggers (Onset MX®)
HOBO temperature loggers (Onset MX®)
PI Supplied Instrument Name: HOBO temperature loggers (Onset MX®) Instrument Name: Temperature Logger Instrument Short Name: Instrument Description: Records temperature data over a period of time.