http://lod.bco-dmo.org/id/dataset/948253
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
2025-01-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review
2025-01-10
publication
2025-01-10
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-01-14
publication
https://doi.org/10.26008/1912/bco-dmo.948253.1
Nathan T. Hermann
University of New Hampshire
principalInvestigator
Nathan B. Furey
University of New Hampshire
principalInvestigator
Mark J. Wuenschel
Northeast Fisheries Science Center - Woods Hole
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: Hermann, N. T., Wuenschel, M. J., Furey, N. B. (2025) Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-10 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.948253.1 [access date]
Synthesis of energy densities from literature review Dataset Description: Methods and Sampling: <p>Original sources utilized variable sampling techniques. Our approach for integrating across these sources began by identifying sources containing energy density data for aquatic organisms. First, we conducted a literature search on Web of Science using the search string: “("energy densit*" OR "energy content*" OR "energy equivalen*") AND (marine OR Atlantic).”&nbsp; The 745 results were rough filtered by a check of the abstract to identify whether they followed the correct topic, with potential sources being inspected more closely for containing data on energy density as a per weight unit (~2/3 sources following the first filter had suitable data). Appropriate conversions were made as necessary with a particular emphasis on conducting a conversion to energy density per gram wet weight as the focal measure of interest within the database. All sources which contained one or more taxon with an energy density measure were included within the database. Additional metadata about the record was gleaned from the source as available including the location and method of capture, storage and analytical technique, and number of replicate samples. Locations of estuarine and marine coastal data were also categorized by large marine ecosystem (LME; Sherman 1991, 2014); open ocean locations were defined by the ocean body; locations of freshwater data were categorized by continent.&nbsp; Additional sources were sought out through a snowball method by which references for relevant papers on energetics which did not contain measures of energy density but cited sources of data were searched, of note as a source for other original records was the Pelagic Traits Database (Gleiber et al., 2024). Efforts to locate original sources of energy density data were always taken, but in some instances a review paper was included due to complications with accessibility or reference obscurity. The use of data from reviews may result in a “double counting” of individuals when both an original source and review include them in their average. Finally, grey literature was included through a haphazard search and through communications with experts.</p>
<p>Taxonomic classification for each record began with that reported by the original source, primarily a Genus species name but occasionally at broader grades such as Family and Order. Taxonomy for all records was retrieved 26-Apr-2024, from the Integrated Taxonomic Information Service (ITIS), www.itis.gov, CC0, https://doi.org/10.5066/F7KH0KBK. Species names from original records were changed to agree with valid ITIS names as of this date.&nbsp;</p>
<p>Data were acquired from the original sources as they were published and available online or in print. They were then transferred by copy-paste automation whenever possible and manually in all other instances. The accurate entry of all data was checked by the principal investigator following each source being entered in completion.&nbsp;Missing data represents instances when a variable was not provided by the original source, often due to variable study designs or methodologies, e.g., Bomb Calorimetry studies do not collect data on percent of body mass that was lipid.&nbsp;Errors in values were identified by visualizing (for numeric variables) or tabulating (for character variables) each variable independently. The dataset was thoroughly examined by the principal investigator and original creator of the database, but was checked by the remaining members of the team for any anomalies. Additional independent review of an early draft was provided by S. Gaichas.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023536 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023536
completed
Nathan T. Hermann
University of New Hampshire
Nathan.Hermann@unh.edu
pointOfContact
Nathan B. Furey
University of New Hampshire
603-862-0675
46 College Rd.
Durham
NH
038243585
US
Nathan.Furey@unh.edu
pointOfContact
Mark J. Wuenschel
Northeast Fisheries Science Center - Woods Hole
mark.wuenschel@noaa.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Phylum
Class
Order
Family
Genus
Species
Taxa
TSN
Common_name
Sex
Size_Maturity
Season_or_doy
Capture_method
Region
LME_Continent
Ocean_Freshwater
Storage_method
Storage_duration_years
Methodology
Sample_Type
N_replicates
Size_min_mm
Size_max_mm
Size_min_g
Size_max_g
Ash_perc
H2O_perc
Lipid_perc
AFLDM
Dry_KJg_mean
Dry_KJg_SD
Ash_KJg
Wet_KJg_mean
Wet_KJg_SD
Wet_KJg_min
Wet_KJg_max
Indigestible_perc
Publication_Type
Publication_Author
Publication_Journal
Publication_Year
Notes
theme
None, User defined
phylum
taxonomic class
order
family
genus
species scientific name (binomial)
taxon
taxon_code
common_name
sex
stage
season
sampling_method
region
site description
activity and comments
duration
brief description
sample type
number of replicates
length_min
length_max
weight
ash
sample description
lipids in biota
mass_dry
energy_density
reference_paper
author name (publication)
comments
featureType
BCO-DMO Standard Parameters
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.
Nutritional ecology of climate change: Impacts on Northwest Atlantic fishes
https://osprey.bco-dmo.org/project/834426
Nutritional ecology of climate change: Impacts on Northwest Atlantic fishes
<p>NSF Award Abstract:</p>
<p>Warming oceans are changing the distributions of fish populations worldwide. However, observed shifts in distribution differ from one species to the next, which lead to changes in the marine community and the biological interactions. Altered predator-prey relationships could force a switch in diet, which might influence growth and affect a fish’s ability to persist in the environment. This project aims to predict how fish behaviors contribute to responses of species, populations, and ecosystems to continued environmental change. The study is focused on the distribution and diets of fishes in the Northwest Atlantic Ocean, one of the most rapidly warming marine systems on the planet. An existing long-term data set (1973 – present) forms the basis for a retrospective analysis of how fish populations and their diets have changed over the past five decades. The model developed from these data is testing how observed changes in distribution and diet are related to species-specific behaviors and movements. This information is incorporated into predictions of the nature and quality of fish diets in the year 2055 using different climate projections. The broader impacts are focused on broadening participation in STEM careers, which includes training of students and a post-doc. To advance the recruitment and education of future scientists, project results are being integrated into the Gulf of Maine Research Institute’s LabVenture program, which serves 10,000 elementary students in Maine annually. In parallel, the project is partnering with the Seacoast Science Center in New Hampshire to develop and test educational modules. Research findings are being communicated to fisheries managers locally and nationally and are contributing to science-based resource management.</p>
<p>Increased water temperatures impact the energetics of individual organisms directly by increasing metabolism and indirectly by altering overlap with prey as a result of taxon-specific shifts in population distributions. Species-specific shifts in spatial distributions and diets could mediate or exacerbate the metabolic consequences of warming waters. Furthermore, food web structure, and any temporal shifts in its composition, could affect ecosystem stability. Behavioral flexibility in diet and space use could confer resilience of individual species to climate change, but empirical evidence is lacking. This project combines spatial statistics, multivariate analyses, and food web models to understand how warming waters impact individuals, species interactions, and community stability, as well as identify taxon-specific behaviors that could confer resilience. This project is conducting retrospective analyses to quantify both decadal-scale shifts in fish distributions and diet, and species-level flexibility in diet and movements. From these analyses, spatially explicit predator-prey interactions are being projected into the future (2055) using three climate change scenarios to predict novel interactions and changes in diet for important predatory fishes. Linkages between behavior and resilience to warming waters are being tested by comparing the energetic consequences of diet shifts between behaviorally flexible and inflexible species. Quantifying interaction strengths among food web components is providing insight into how flexibility of individual taxa affects broader food web structure and how community stability is maintained.</p>
<p>This project is jointly funded by the Biological Oceanography Program and the Established Program to Stimulate Competitive Research (EPSCoR).</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>
NECC
largerWorkCitation
project
eng; USA
biota
oceans
-180
180
-90
90
1961-01-01
2024-12-31
Northwest Atlantic Shelf 42 N 69 W
0
BCO-DMO catalogue of parameters from Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review
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/948310.rdf
Name: Phylum
Units: unitless
Description: <p>Phylum of the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948311.rdf
Name: Class
Units: unitless
Description: <p>Class of the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948312.rdf
Name: Order
Units: unitless
Description: <p>Order of the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948313.rdf
Name: Family
Units: unitless
Description: <p>Family of the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948314.rdf
Name: Genus
Units: unitless
Description: <p>Genus name of the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948315.rdf
Name: Species
Units: unitless
Description: <p>Species name for the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948316.rdf
Name: Taxa
Units: unitless
Description: <p>Genus + species name for the organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948317.rdf
Name: TSN
Units: unitless
Description: <p>Taxonomic Serial Number from the Integrated Taxonomic Information System (ITIS) for the taxa on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948318.rdf
Name: Common_name
Units: unitless
Description: <p>English name for organism in the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948319.rdf
Name: Sex
Units: unitless
Description: <p>Information from the original source about the sex of the organism for the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948320.rdf
Name: Size_Maturity
Units: unitless
Description: <p>Information from the original source about the age/maturity or a broad size category (Small, Medium, Large) for the record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948321.rdf
Name: Season_or_doy
Units: unitless
Description: <p>Information from the original source about the time of year when the sample(s) were collected. Includes the season, month, or—when a number is provided—the median day of year across sampling dates.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948322.rdf
Name: Capture_method
Units: unitless
Description: <p>Information from the original source on how individuals were captured for analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/948323.rdf
Name: Region
Units: unitless
Description: <p>Name of the water body from which the samples were collected or the median latitude, longitude position</p>
http://lod.bco-dmo.org/id/dataset-parameter/948324.rdf
Name: LME_Continent
Units: unitless
Description: <p>Large Marine Ecosystem (for marine taxa) or Continent (for freshwater taxa) where collections occurred</p>
http://lod.bco-dmo.org/id/dataset-parameter/948325.rdf
Name: Ocean_Freshwater
Units: unitless
Description: <p>Naming the larger ocean (of the 5 major oceans) where collection occurred or identifying samples as being from freshwater</p>
http://lod.bco-dmo.org/id/dataset-parameter/948326.rdf
Name: Storage_method
Units: unitless
Description: <p>After samples were collected, how were they preserved until analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/948327.rdf
Name: Storage_duration_years
Units: years
Description: <p>How long samples were stored between collection and analysis; only the maximum amount is listed.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948328.rdf
Name: Methodology
Units: unitless
Description: <p>How samples were analyzed for energy density; bomb calorimetry or proximate composition analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/948329.rdf
Name: Sample_Type
Units: unitless
Description: <p>Composition of the sample analyzed either as a portion of the individual or pooling of individuals</p>
http://lod.bco-dmo.org/id/dataset-parameter/948330.rdf
Name: N_replicates
Units: count
Description: <p>Number of replicate samples analyzed (e.g., combustions, extractions) from the study on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948331.rdf
Name: Size_min_mm
Units: mm
Description: <p>The smallest recorded length for the individual(s) from the study on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948332.rdf
Name: Size_max_mm
Units: mm
Description: <p>The largest recorded length for the individual(s) from the study on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948333.rdf
Name: Size_min_g
Units: grams (g)
Description: <p>The smallest recorded weight for the individual(s) from the study on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948334.rdf
Name: Size_max_g
Units: grams (g)
Description: <p>The largest recorded weight for the individual(s) from the study on record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948335.rdf
Name: Ash_perc
Units: percent (%)
Description: <p>The percentage of the sample body mass that was ash (inorganic material after combustion)</p>
http://lod.bco-dmo.org/id/dataset-parameter/948336.rdf
Name: H2O_perc
Units: percent (%)
Description: <p>The percentage of the sample body mass that was water (after drying)</p>
http://lod.bco-dmo.org/id/dataset-parameter/948337.rdf
Name: Lipid_perc
Units: percent (%)
Description: <p>The percentage of the sample body mass that was lipid</p>
http://lod.bco-dmo.org/id/dataset-parameter/948338.rdf
Name: AFLDM
Units: percent (%)
Description: <p>Ash Free Lean Dry Mass, percentage of the sample body mass that was protein</p>
http://lod.bco-dmo.org/id/dataset-parameter/948339.rdf
Name: Dry_KJg_mean
Units: kiloJoules per gram (kJ/g)
Description: <p>Mean reported energy density of the dry sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948340.rdf
Name: Dry_KJg_SD
Units: kiloJoules per gram (kJ/g)
Description: <p>Standard deviation of energy density of the dry sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948341.rdf
Name: Ash_KJg
Units: kiloJoules per gram (kJ/g)
Description: <p>Mean reported energy density of the sample ash mass. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948342.rdf
Name: Wet_KJg_mean
Units: kiloJoules per gram (kJ/g)
Description: <p>Mean reported energy density of the wet sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948343.rdf
Name: Wet_KJg_SD
Units: kiloJoules per gram (kJ/g)
Description: <p>Standard deviation of energy density of the wet sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948344.rdf
Name: Wet_KJg_min
Units: kiloJoules per gram (kJ/g)
Description: <p>Minimum reported energy density of the wet sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948345.rdf
Name: Wet_KJg_max
Units: kiloJoules per gram (kJ/g)
Description: <p>Maximum reported energy density of the wet sample. May have been reported by source or calculated from other data reported.</p>
http://lod.bco-dmo.org/id/dataset-parameter/948346.rdf
Name: Indigestible_perc
Units: percent (%)
Description: <p>The percentage of the sample wet mass that was shell weight</p>
http://lod.bco-dmo.org/id/dataset-parameter/948347.rdf
Name: Publication_Type
Units: unitless
Description: <p>Classifying the type of source where data comes from as either one where data were measured by the authors (original) or collected from previous work (review)</p>
http://lod.bco-dmo.org/id/dataset-parameter/948348.rdf
Name: Publication_Author
Units: unitless
Description: <p>The author name(s) from the original source of record</p>
http://lod.bco-dmo.org/id/dataset-parameter/948349.rdf
Name: Publication_Journal
Units: unitless
Description: <p>The publishing location of the original source of record, either a peer-reviewed journal or agency</p>
http://lod.bco-dmo.org/id/dataset-parameter/948350.rdf
Name: Publication_Year
Units: year
Description: <p>The year when the original source on record was last updated/published. Does not equate to sample collection year(s).</p>
http://lod.bco-dmo.org/id/dataset-parameter/948351.rdf
Name: Notes
Units: unitless
Description: <p>Additional notes regarding the source</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
1554089
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/33d872ed-cc2a-4a29-93d2-79f3554c932a/content
download
https://doi.org/10.26008/1912/bco-dmo.948253.1
download
onLine
dataset
<p>Original sources utilized variable sampling techniques. Our approach for integrating across these sources began by identifying sources containing energy density data for aquatic organisms. First, we conducted a literature search on Web of Science using the search string: “("energy densit*" OR "energy content*" OR "energy equivalen*") AND (marine OR Atlantic).”&nbsp; The 745 results were rough filtered by a check of the abstract to identify whether they followed the correct topic, with potential sources being inspected more closely for containing data on energy density as a per weight unit (~2/3 sources following the first filter had suitable data). Appropriate conversions were made as necessary with a particular emphasis on conducting a conversion to energy density per gram wet weight as the focal measure of interest within the database. All sources which contained one or more taxon with an energy density measure were included within the database. Additional metadata about the record was gleaned from the source as available including the location and method of capture, storage and analytical technique, and number of replicate samples. Locations of estuarine and marine coastal data were also categorized by large marine ecosystem (LME; Sherman 1991, 2014); open ocean locations were defined by the ocean body; locations of freshwater data were categorized by continent.&nbsp; Additional sources were sought out through a snowball method by which references for relevant papers on energetics which did not contain measures of energy density but cited sources of data were searched, of note as a source for other original records was the Pelagic Traits Database (Gleiber et al., 2024). Efforts to locate original sources of energy density data were always taken, but in some instances a review paper was included due to complications with accessibility or reference obscurity. The use of data from reviews may result in a “double counting” of individuals when both an original source and review include them in their average. Finally, grey literature was included through a haphazard search and through communications with experts.</p>
<p>Taxonomic classification for each record began with that reported by the original source, primarily a Genus species name but occasionally at broader grades such as Family and Order. Taxonomy for all records was retrieved 26-Apr-2024, from the Integrated Taxonomic Information Service (ITIS), www.itis.gov, CC0, https://doi.org/10.5066/F7KH0KBK. Species names from original records were changed to agree with valid ITIS names as of this date.&nbsp;</p>
<p>Data were acquired from the original sources as they were published and available online or in print. They were then transferred by copy-paste automation whenever possible and manually in all other instances. The accurate entry of all data was checked by the principal investigator following each source being entered in completion.&nbsp;Missing data represents instances when a variable was not provided by the original source, often due to variable study designs or methodologies, e.g., Bomb Calorimetry studies do not collect data on percent of body mass that was lipid.&nbsp;Errors in values were identified by visualizing (for numeric variables) or tabulating (for character variables) each variable independently. The dataset was thoroughly examined by the principal investigator and original creator of the database, but was checked by the remaining members of the team for any anomalies. Additional independent review of an early draft was provided by S. Gaichas.</p>
Specified by the Principal Investigator(s)
<p>Data processing used a simple R script (preyEDs_processing.R) to input data files of both raw record and summarized averages to the central database. Quality assurance steps are performed for confirming data completeness. The script also includes the creation of a summary figure for the raw data.</p>
<p>Code is operated with R version 4.3.2 "Eye Holes".&nbsp;<br />
See Supplemental Files section for processing script "preyEDs_processing.R"</p>
Specified by the Principal Investigator(s)
- Imported data from source file "preyEDs_integrated_12_24.csv" into the BCO-DMO data system.
- Missing data identifiers of NA, N/A, and "N/A" were replaced with blanks.
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