http://lod.bco-dmo.org/id/dataset/959925
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
2025-04-28
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Nutrient data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021
2025-04-28
publication
2025-04-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-05-15
publication
https://doi.org/10.26008/1912/bco-dmo.959925.1
Bess B. Ward
Princeton University
principalInvestigator
Jenna Lee
Princeton University
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: Ward, B. B., Lee, J. (2025) Nutrient data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-04-28 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.959925.1 [access date]
Mesocosm CB 2021 Nutrients Dataset Description: Methods and Sampling: <p>The mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay.&nbsp;Surface water (2–5 m) was collected from the study site (37.27<sup>o</sup>&nbsp;N, 76.09<sup>o</sup>&nbsp;W), located near the mouth of the bay. Incubation medium was prepared by pumping surface water (~5 m) directly from the sample site through a series of nylon mesh and glass fiber filters, ending with a 0.3&nbsp;<em>μ</em>m filter, using a double diaphragm pump into three 24-L translucent polycarbonate (PC) carboys. Surface water inoculum was collected using a rosette system with 12–L Niskin bottles and a CTD profiler from 2–4 m depth and pre–filtered through 210&nbsp;<em>μ</em>m nylon mesh before being added to the mesocosms to produce a 10 % inoculation.&nbsp;Carboys were incubated for eight days in an on–deck water bath, using a seawater flow–through system drawn from surface water and a plastic screen shade covering to keep incubation temperature and light similar to in situ conditions.&nbsp;</p>
<p>Samples for nutrient concentrations were collected from each carboy three times per day, at approximately 06:00, 12:00, and 18:00 local time. Samples were filtered through a 0.22 <em>μ</em>m syringe filter into 50–mL plastic conical tubes and stored at –20<sup>o </sup>C until analysis. Reactive nitrite (NO<sub>2</sub><sup>-</sup>) and silicate (silicic acid, H<sub>4</sub>SiO<sub>4</sub>) concentrations were measured on a ThermoScience Genesys150 UV–Vis spectrophotometer using colorimetric methods (sulfanilamide + <em>N</em>–(1–naphthyl)–ethylenediamine and metol sulfite, respectively) modified from Strickland and Parsons (1972). NO<sub>2</sub><sup>-</sup> + NO<sub>3</sub><sup>-</sup> concentration was measured via chemiluminescent detection using a Teledyne NOx analyzer (NOxBox) according to Braman &amp; Hendrix (1989). NO<sub>3</sub><sup>- </sup>concentrations were calculated by subtracting the colorimetrically derived NO<sub>2</sub><sup>-</sup> concentrations from their paired NO<sub>2</sub><sup>-</sup> + NO<sub>3</sub><sup>-</sup> NOxBox concentrations.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2149606 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2149606
completed
Bess B. Ward
Princeton University
609-258-5150
Geosciences Department 217 Guyot Hall
Princeton
NJ
08544-1003
USA
bbw@princeton.edu
pointOfContact
Jenna Lee
Princeton University
jennaal@princeton.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Samp_No
Carboy
Rep
Date_Local
Time_Local
ISO_DateTime_UTC
Nitrite
Nitrate
Phosphate
Silicate
Notes
ThermoScience Genesys150 UV–Vis spectrophotometer
theme
None, User defined
sample identification
tank
replicate
date
time_local
ISO_DateTime_UTC
Nitrite
Nitrate
phosphate
Silicate, Si(OH)4, silicic acid
comments
featureType
BCO-DMO Standard Parameters
Spectrometer
instrument
BCO-DMO Standard Instruments
HRS2110
service
Deployment Activity
Chesapeake Bay
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Marine Diatom-Parasite Relationships in Upwelling Systems
https://osprey.bco-dmo.org/project/869541
Marine Diatom-Parasite Relationships in Upwelling Systems
<p><em>NSF Award Abstract:</em><br />
A recent global survey of surface ocean waters revealed that microbial parasites comprise half of the eukaryotic plankton diversity and suggested that biological interactions, including parasites, play an important role in the ecology of many types of microscopic algae, which are the base of the ocean food web, but not diatoms. Diatoms are among the most abundant microalgae, particularly in upwelling areas where nutrient-rich deep currents feed the ocean's surface and support the world's greatest fisheries. Yet this survey did not investigate high-productivity regions, leaving a significant knowledge gap. Diatoms may be successful in upwelling regions because they evade predators and parasites, but it seems more reasonable that they, like all other microalgae, also have biological enemies. In this study, the researchers use a large set of available samples from upwelling regions to investigate the effect of parasites on the proliferation of diatom communities and resulting primary production. The project supports a graduate student and provides hands-on research experiences for high school and undergraduate college students. The study data are also integrated into courses taught by the principal investigator.</p>
<p>The discovery that half of the eukaryotic diversity in the Tara Oceans sequence database belongs to putatively parasitic microbes implies a revolution in our understanding of biological control of primary production. Ecosystem models are only beginning to incorporate the effect of viruses on production and community composition, but eukaryotic parasites add yet another dimension with potentially vast biogeochemical implications. While viral predation is generally thought to divert material flux away from grazers and into the dissolved organic carbon pool, increasing community diversity and microbial biomass, phytoplankton biomass diverted into parasite biomass becomes available to grazers. Experimental determination of parasite activity is difficult in natural systems, so most of the evidence for diversity, abundance, and host interactions of eukaryotic parasites is based on DNA sequence data. The Tara Oceans database suggests that diatoms have very few biotic interactions, leading to a stronger dependence on bottom-up factors (e.g., nutrients). However, this database did not represent high productivity upwelling regions. This project addresses two hypotheses: 1) diatoms in highly productive episodic upwelling systems are involved in host-parasite interactions that can be identified in co-occurrence networks during blooms; and 2) the community composition and abundance of host-parasite pairs vary over the course of the bloom in a manner consistent with density dependence on the host. In this project, abundance, diversity, and dynamics of parasites in upwelling systems are investigated by tag sequencing, metagenomics, and targeted qPCR of diatom-parasite pairs identified from archived samples from diatom-dominated upwelling systems (California Current, Eastern Tropical Pacific), the North Atlantic Spring bloom, and from two mesocosm experiments of diatom blooms induced by inoculation of surface seawater into nitrate-rich Monterey Bay seawater. Biogeochemical parameters (nutrients, primary production, nitrate assimilation, etc.) for those samples are available. In addition, the research team is using the outputs of the bioinformatics analysis in network and time series analysis to discover links among hosts and parasites.</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>
Marine Diatom-Parasite Relationships
largerWorkCitation
project
eng; USA
biota
oceans
Chesapeake Bay
-76.09268
-76.09268
37.27044
37.27044
2021-08-04
2021-08-11
Eastern Boundary Upwelling Regions
0
BCO-DMO catalogue of parameters from Nutrient data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021
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/960436.rdf
Name: Samp_No
Units: unitless
Description: <p>Sample number</p>
http://lod.bco-dmo.org/id/dataset-parameter/960437.rdf
Name: Carboy
Units: unitless
Description: <p>Sample source; carboy A, B, or C</p>
http://lod.bco-dmo.org/id/dataset-parameter/960438.rdf
Name: Rep
Units: unitless
Description: <p>Replicate number</p>
http://lod.bco-dmo.org/id/dataset-parameter/960439.rdf
Name: Date_Local
Units: unitless
Description: <p>Date of sampling event (UTC-4)</p>
http://lod.bco-dmo.org/id/dataset-parameter/960440.rdf
Name: Time_Local
Units: unitless
Description: <p>Time of sampling event (UTC-4, 24-hr time)</p>
http://lod.bco-dmo.org/id/dataset-parameter/960441.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Datetime of sampling event in UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/960442.rdf
Name: Nitrite
Units: micromolar (µM)
Description: <p>Nitrite (NO2) concentration; detection limit = 0.25</p>
http://lod.bco-dmo.org/id/dataset-parameter/960443.rdf
Name: Nitrate
Units: micromolar (µM)
Description: <p>Nitrate (NO3) concentration; detection limit = 0.00015</p>
http://lod.bco-dmo.org/id/dataset-parameter/960444.rdf
Name: Phosphate
Units: micromolar (µM)
Description: <p>Phosphate (PO4) concentration; detection limit = 0.1</p>
http://lod.bco-dmo.org/id/dataset-parameter/960445.rdf
Name: Silicate
Units: micromolar (µM)
Description: <p>Silicate (SiO4) concentration; detection limit = 0.5</p>
http://lod.bco-dmo.org/id/dataset-parameter/960446.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
6763
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/c8fed4d9-6978-4401-9335-1a1659d0b64b/content
download
https://doi.org/10.26008/1912/bco-dmo.959925.1
download
onLine
dataset
<p>The mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay.&nbsp;Surface water (2–5 m) was collected from the study site (37.27<sup>o</sup>&nbsp;N, 76.09<sup>o</sup>&nbsp;W), located near the mouth of the bay. Incubation medium was prepared by pumping surface water (~5 m) directly from the sample site through a series of nylon mesh and glass fiber filters, ending with a 0.3&nbsp;<em>μ</em>m filter, using a double diaphragm pump into three 24-L translucent polycarbonate (PC) carboys. Surface water inoculum was collected using a rosette system with 12–L Niskin bottles and a CTD profiler from 2–4 m depth and pre–filtered through 210&nbsp;<em>μ</em>m nylon mesh before being added to the mesocosms to produce a 10 % inoculation.&nbsp;Carboys were incubated for eight days in an on–deck water bath, using a seawater flow–through system drawn from surface water and a plastic screen shade covering to keep incubation temperature and light similar to in situ conditions.&nbsp;</p>
<p>Samples for nutrient concentrations were collected from each carboy three times per day, at approximately 06:00, 12:00, and 18:00 local time. Samples were filtered through a 0.22 <em>μ</em>m syringe filter into 50–mL plastic conical tubes and stored at –20<sup>o </sup>C until analysis. Reactive nitrite (NO<sub>2</sub><sup>-</sup>) and silicate (silicic acid, H<sub>4</sub>SiO<sub>4</sub>) concentrations were measured on a ThermoScience Genesys150 UV–Vis spectrophotometer using colorimetric methods (sulfanilamide + <em>N</em>–(1–naphthyl)–ethylenediamine and metol sulfite, respectively) modified from Strickland and Parsons (1972). NO<sub>2</sub><sup>-</sup> + NO<sub>3</sub><sup>-</sup> concentration was measured via chemiluminescent detection using a Teledyne NOx analyzer (NOxBox) according to Braman &amp; Hendrix (1989). NO<sub>3</sub><sup>- </sup>concentrations were calculated by subtracting the colorimetrically derived NO<sub>2</sub><sup>-</sup> concentrations from their paired NO<sub>2</sub><sup>-</sup> + NO<sub>3</sub><sup>-</sup> NOxBox concentrations.</p>
Specified by the Principal Investigator(s)
- Imported "Mesocosm_CB2021_Nutrients.xlsx" into the BCO-DMO dataset
- Created additional datetime field in UTC
- Export file as "959925_v1_mesocosm_cb_nutrients.csv"
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
ThermoScience Genesys150 UV–Vis spectrophotometer
ThermoScience Genesys150 UV–Vis spectrophotometer
PI Supplied Instrument Name: ThermoScience Genesys150 UV–Vis spectrophotometer PI Supplied Instrument Description:Reactive nitrite (NO2-) and silicate (silicic acid, H4SiO4) concentrations were measured on a ThermoScience Genesys150 UV–Vis spectrophotometer using colorimetric methods (sulfanilamide + N–(1–naphthyl)–ethylenediamine and metol sulfite, respectively) modified from Strickland and Parsons (1972). Instrument Name: Spectrometer Instrument Short Name:Spectrometer Instrument Description: A spectrometer is an optical instrument used to measure properties of light over a specific portion of the electromagnetic spectrum. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0460/
Cruise: HRS2110
HRS2110
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel
HRS2110
Bess B. Ward
Princeton University
R/V Hugh R. Sharp
Community Standard Description
International Council for the Exploration of the Sea
R/V Hugh R. Sharp
vessel