http://lod.bco-dmo.org/id/dataset/996519
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
2026-04-09
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Mysid sampling and water quality monitoring from 24-hour sampling events in Patuxent River in MD, USA from May 2024 to Oct 2024
2026-04-22
publication
2026-04-22
revision
BCO-DMO Linked Data URI
2026-04-22
creation
http://lod.bco-dmo.org/id/dataset/996519
Ryan J. Woodland
University of Maryland Center for Environmental Science
principalInvestigator
Theresa E. Murphy
University of Maryland Center for Environmental Science
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: Murphy, T. E., Woodland, R. J., Santos, N. R., Collins, L. D. (2026) Mysid sampling and water quality monitoring from 24-hour sampling events in Patuxent River in MD, USA from May 2024 to Oct 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-04-22 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/996519 [access date]
24 hr Mysid sampling counts and water quality Dataset Description: Methods and Sampling: <p>Zooplankton net samples (500&nbsp;μm mesh) were collected from a small vessel at surface and mid-water column depths for 2 minutes. Epi-benthic sled samples (500&nbsp;μm mesh) were collected from a small vessel and from the Chesapeake Biological Laboratory pier at recorded depth per sample.&nbsp;Water quality samples were collected via sonde before each sampling.&nbsp;</p>
<p>After collection, samples were placed into sample jars with either 75% buffered ethanol OR 10% formalin solution. Samples were then transported back to the Chesapeake Biological Laboratory. Upon analysis, individual mysids were separated from the rest of the sample, counted and speciated by hand.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023349 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023349
onGoing
Ryan J. Woodland
University of Maryland Center for Environmental Science
410-326-7332
146 Williams St, PO Box 38
Solomons
MD
20688-0038
USA
woodland@umces.edu
pointOfContact
Theresa E. Murphy
University of Maryland Center for Environmental Science
tmurphy@umces.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
datetime
Site
Lat
Long
Gear
Type
Total_count
A_spp_count
N_amer_count
Un_ID
Sub_count
Prop_A
Prop_N
Mysids_per_m2
Volume_filtered
Swept_area
Sonde_depth
Temperature
Percent_DO
DO_mgL
Conductivity
Salinity
Notes
Epibenthic sled
Zooplankton net
Eureka Manta2 Water Quality Sonde
theme
None, User defined
ISO_DateTime_Local
site
latitude
longitude
instrument
site description
count
proportion_of_total
abundance
volume
area
depth
water temperature at measurement depth
dissolved Oxygen
conductivity
salinity
comments
featureType
BCO-DMO Standard Parameters
Epibenthic Sled
Plankton Net
Water Quality Multiprobe
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.
Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model
https://osprey.bco-dmo.org/project/826300
Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model
<p>NSF Award Abstract:</p>
<p>Diagrams of food webs are typically drawn as boxes that show linkages between predators and prey. While these are useful models of how energy is transferred along a food chain, real food webs are more complex. Predator diets are often variable making it difficult to establish predator-prey links in marine communities. This project is investigating prey switching in a key member of coastal food webs, the shrimp-like mysid, Neomysis americana. Prey switching affects community structure and an organism’s resilience to environmental perturbation, but it is not easy to quantify. This project is using a combination of laboratory experiments and field sampling to develop a food web model that predicts mysid feeding patterns in the environment. This realistic and predictive food web model uses traditional gut analysis and analytical techniques that follow carbon and nitrogen as it is incorporated into the bodies of the mysids. In addition, mysid food preferences are being determined in the laboratory across a full range of diet possibilities. The calibrated gut analysis and chemical marker data in combination with feeding experiments are incorporated into the model, which then predicts mysid feeding on mixed diets under different environmental conditions. These predictions are validated against field data. Broader impacts include benefits to society for a better understanding of how coastal food webs work. Doctoral students and undergraduate students are being trained in experimental and field research. Increasing diversity in STEM fields is occurring through a partnership with two community colleges (College of Southern Maryland, Chesapeake College) to recruit summer interns for research experiences. Outreach activities include the development of educational materials for grade-appropriate hands-on laboratory experiments and training opportunities for middle and high school teacher groups in the use of these materials in their classrooms.</p>
<p>This project is developing and field-testing a generalizable approach to understand and predict complex predator-prey relationships in marine food webs. The research plan involves building and validating a multispecies functional response (MSFR) model for an omnivorous consumer, the mysid Neomysis americana. These models predict diet for consumers that feed on multiple types of prey under differing prey concentrations and identify conditions under which prey switching occurs in the environment. Recent and time-integrated diet tracking with gut contents, bulk stable isotope (SI) and compound-specific amino acid stable isotope (AA-CSI) analysis are validated in the lab and used to reconstruct diet of Neomysis in the field. The proposed research is testing specific hypotheses about Neomysis’ consumption rates and prey preferences and the effectiveness of integrating SI and AA-CSI into MSFR models. Laboratory experiments are determining prey-specific functional response curves by Neomysis under varying prey concentrations and environmental (temperature) conditions using grazing experiments. Experimental results are incorporated into a temperature-dependent MSFR model for a 5-compartment simplified food web (Neomysis, adult copepod, copepod nauplii, phytoplankton, detritus). A complementary element of the project is the experimental determination of bulk SI (ð¿13C and ð¿15N) and AA-CSI (ð¿15N) equilibration rates and trophic enrichment factors for Neomysis and each prey type. The predator-prey dynamics of Neomysis in the environment are being modeled using the lab-validated MSFR approach and field data, including prey concentrations, gut contents, and prey and Neomysis SI and AA-CSI data.</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>
MSFR
largerWorkCitation
project
eng; USA
biota
oceans
-76.67585
-76.35666
38.257183
38.55787
2024-05-06
2024-10-29
Chesapeake Bay
0
BCO-DMO catalogue of parameters from Mysid sampling and water quality monitoring from 24-hour sampling events in Patuxent River in MD, USA from May 2024 to Oct 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/997255.rdf
Name: datetime
Units: unitless
Description: <p>Datetime of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/997256.rdf
Name: Site
Units: unitless
Description: <p>Name of site where sampling occurred</p>
http://lod.bco-dmo.org/id/dataset-parameter/997257.rdf
Name: Lat
Units: decimal degrees
Description: <p>Latitude of sample collection, positive is North</p>
http://lod.bco-dmo.org/id/dataset-parameter/997259.rdf
Name: Long
Units: decimal degrees
Description: <p>Longitude of sample collection, negative is West</p>
http://lod.bco-dmo.org/id/dataset-parameter/997261.rdf
Name: Gear
Units: unitless
Description: <p>Gear type used: Sled = epi-benthic sled, 500um net mesh size; Zoopnet = 500um net mesh</p>
http://lod.bco-dmo.org/id/dataset-parameter/997262.rdf
Name: Type
Units: unitless
Description: <p>Type of location sampled; DeepBot = sled pulled in approximate deep water depths, ShallBot = sled pulled in approximate shallow water depths, Mid = zooplankton pulled in middle of water column at site, Surf = zooplankton pulled at the surface of water column at site</p>
http://lod.bco-dmo.org/id/dataset-parameter/997263.rdf
Name: Total_count
Units: unitless
Description: <p>Total count of mysids caught per sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/997264.rdf
Name: A_spp_count
Units: unitless
Description: <p>Sub-sample count of <em>Americamysis spp.</em> mysids caught per sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/997265.rdf
Name: N_amer_count
Units: unitless
Description: <p>Sub-sample count of <em>Neomysis Americana</em> mysids caught per sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/997266.rdf
Name: Un_ID
Units: unitless
Description: <p>Sub-sample count of unidentifiable mysids caught per sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/997267.rdf
Name: Sub_count
Units: unitless
Description: <p>Sub-sample count of total mysids speciated</p>
http://lod.bco-dmo.org/id/dataset-parameter/997268.rdf
Name: Prop_A
Units: unitless
Description: <p>Proportion of <em>Americamysis spp.</em> mysids in total count</p>
http://lod.bco-dmo.org/id/dataset-parameter/997269.rdf
Name: Prop_N
Units: unitless
Description: <p>Proportion of <em>Neomysis Americana</em> mysids in total count</p>
http://lod.bco-dmo.org/id/dataset-parameter/997270.rdf
Name: Mysids_per_m2
Units: Mysids per square meter
Description: <p>Catch per unit effort of mysids collected per sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/997271.rdf
Name: Volume_filtered
Units: m3
Description: <p>Total water volume sampled with the zooplankton net</p>
http://lod.bco-dmo.org/id/dataset-parameter/997272.rdf
Name: Swept_area
Units: m2
Description: <p>Benthic area sampled, in meters squared</p>
http://lod.bco-dmo.org/id/dataset-parameter/997273.rdf
Name: Sonde_depth
Units: m
Description: <p>Depth of water quality sonde in water column at time of measurement collection, in meters</p>
http://lod.bco-dmo.org/id/dataset-parameter/997275.rdf
Name: Temperature
Units: degrees Celsius
Description: <p>Water temperature at time of collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/997276.rdf
Name: Percent_DO
Units: percent (%)
Description: <p>Oxygen % of water at time of collection, in percent</p>
http://lod.bco-dmo.org/id/dataset-parameter/997277.rdf
Name: DO_mgL
Units: mg/L
Description: <p>Dissolved oxygen in water at time of collection, in milligrams per liter</p>
http://lod.bco-dmo.org/id/dataset-parameter/997278.rdf
Name: Conductivity
Units: mS/cm
Description: <p>Water conductivity at time of collection, in milliSiemens per centimeter</p>
http://lod.bco-dmo.org/id/dataset-parameter/997279.rdf
Name: Salinity
Units: PSU
Description: <p>Salinity of water at time of collection, in PSU (Practical Salinity Unit)</p>
http://lod.bco-dmo.org/id/dataset-parameter/997280.rdf
Name: Notes
Units: unitless
Description: <p>Notes about the observations</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/996519/data/download
download
onLine
dataset
<p>Zooplankton net samples (500&nbsp;μm mesh) were collected from a small vessel at surface and mid-water column depths for 2 minutes. Epi-benthic sled samples (500&nbsp;μm mesh) were collected from a small vessel and from the Chesapeake Biological Laboratory pier at recorded depth per sample.&nbsp;Water quality samples were collected via sonde before each sampling.&nbsp;</p>
<p>After collection, samples were placed into sample jars with either 75% buffered ethanol OR 10% formalin solution. Samples were then transported back to the Chesapeake Biological Laboratory. Upon analysis, individual mysids were separated from the rest of the sample, counted and speciated by hand.&nbsp;</p>
Specified by the Principal Investigator(s)
- Loaded sheet 1 from "24hr_Mysid_Sampling_BCODMO.xlsx" treating "nd" and "N/A" as missing values
- Combined Date and Time fields into a new string field datetime_raw
- Applied find/replace patterns on datetime_raw to normalize datetime strings: padded times missing seconds with ":00" and standardized spacing
- Converted datetime_raw from format "%m-%d-%y %H:%M:%S" to ISO 8601 datetime field datetime with output format "%Y-%m-%dT%H:%M:%S"
- Deleted fields Date, Time, and datetime_raw
- Reordered fields placing datetime first, followed by Site, Lat, Long, Gear, Type, count fields, proportion fields, Mysids/m^2, volume/area fields, water quality fields, and Notes
- Applied find/replace on Notes field to replace a raw annotation ("****October depth data from pier all says zero?") with a cleaner description ("October depth data from pier all says zero: Depth meter failure")
- Renamed fields: Mysids/m^2 to Mysids_per_m2, "Volume filtered (zoop nets only)" to Volume_filtered, "Swept area (sled only)" to Swept_area, "Sonde_depth (m)" to Sonde_depth, "Temperature (C)" to Temperature, "Conductivity (mS/cm)" to Conductivity, "Salinity (PSU)" to Salinity
- Exported file as "996519_v1_24hr_mysid_sampling.csv"
World Register of Marine Species (WoRMS) Taxon Match. All scientific names referenced in the parameter descriptions are valid and accepted names as of 2026-04-22.
Americamysis Price, Heard & Stuck, 1994 (urn:lsid:marinespecies.org:taxname:161519)
Neomysis americana (S.I. Smith, 1873) (urn:lsid:marinespecies.org:taxname:157807)
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
Epibenthic sled
Epibenthic sled
PI Supplied Instrument Name: Epibenthic sled PI Supplied Instrument Description:Methods Description: Epi-benthic sled samples (500 µm mesh) were collected from a small vessel and from the Chesapeake Biological Laboratory pier at recorded depth per sample.
Instrument Description: Epibenthic sled - Custom design by Chesapeake Biological Laboratory facilities department, 500 µm net size. Instrument Name: Epibenthic Sled Instrument Short Name: Instrument Description: An epibenthic sled is a semi-quantitative bottom-sampling device designed to trawl just above the bottom at the sediment water interface (the epibenthic zone). The sled consists of a rectangular steel frame with a mesh net (often more than one) attached to it. Towed along the ocean floor, its weight scrapes into the benthos, collecting any organisms on the surface or in the first few centimeters of sediment. It also collects the organisms in the water column just above the benthos.
Descriptions from WHOI and Census of Marine Life. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/24/
Zooplankton net
Zooplankton net
PI Supplied Instrument Name: Zooplankton net PI Supplied Instrument Description:Methods Description: Zooplankton net samples (500 µm mesh) were collected from a small vessel at surface and mid-water column depths for 2 minutes.
Instrument Description: Zooplankton net - SeaGear Model 9000 Straight Conical, 500 µm mesh size Instrument Name: Plankton Net Instrument Short Name:Plankton Net Instrument Description: A Plankton Net is a generic term for a sampling net that is used to collect plankton. It is used only when detailed instrument documentation is not available. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/22/
Eureka Manta2 Water Quality Sonde
Eureka Manta2 Water Quality Sonde
PI Supplied Instrument Name: Eureka Manta2 Water Quality Sonde PI Supplied Instrument Description:Methods Description: Water quality samples were collected via sonde before each sampling.
Instrument Description: Water quality sonde - Eureka Manta2 Water Quality Sonde Instrument Name: Water Quality Multiprobe Instrument Short Name:Water Quality Multiprobe Instrument Description: An instrument which measures multiple water quality parameters based on the sensor configuration.