http://lod.bco-dmo.org/id/dataset/883916
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
2022-11-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Nutrients (phosphate and nitrite+nitrate) from daily sampling at the Santa Monica Pier (SMP), Santa Monica Bay, CA from 2018 to 2019
2022-11-17
publication
2022-11-17
revision
BCO-DMO Linked Data URI
2022-11-17
creation
http://lod.bco-dmo.org/id/dataset/883916
David Caron
University of Southern California
principalInvestigator
Sarah K. Hu
University of Southern California
principalInvestigator
Gerid A. Ollison
University of Southern California
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: Caron, D., Ollison, G. A., Hu, S. K. (2022) Nutrients (phosphate and nitrite+nitrate) from daily sampling at the Santa Monica Pier (SMP), Santa Monica Bay, CA from 2018 to 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-17 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/883916 [access date]
Methods and Sampling: <p>Blooms were targeted in Santa Monica Bay during spring 2018 and 2019 using local meteorological information to anticipate coastal upwelling events (Figure S1,&nbsp;Ollison et al., 2022). Sampling from the Santa Monica Pier (SMP) was conducted daily at 0900&nbsp;<span style="font-size:13px">(PST/PDT)</span> from the same location and orientation on the SMP from the 16<sup>th</sup>&nbsp;through the 30<sup>th&nbsp;</sup>in April 2018 (15 days), and in 2019 from the 13<sup>th</sup>&nbsp;April through 6<sup>th</sup>&nbsp;May (22 days; no sample was collected on the 14<sup>th</sup>&nbsp;April 2019). Sampling periods are henceforth referred to as 2018 and 2019, respectively.</p>
<p>An RBR Concerto (https://rbr-global.com) was deployed in surface water for 15 minutes at the time of each sample collection to obtain temperature, conductivity, chlorophyll&nbsp;<em>a</em>&nbsp;fluorescence, and dissolved oxygen concentrations&nbsp;(See "Related Dataset" section for CTD data). A 20 µm mesh plankton net was drift towed from the pier (15 min), and samples were examined via light microscopy to identify the dominant planktonic taxa and their relative abundances.</p>
<p>Surface water for 18S rRNA sequencing (see Related Datasets section), nutrient analyses, cell counts, extracted chlorophyll concentrations, and domoic acid concentrations was collected via bucket toss from the pier; an extended funnel was used to gently fill a single acid-washed-3x-rinsed 20 L carboy per established lab protocol (https://www.protocols.io/view/sample-collection-from-the-field-for-downstream-mo-hisb4ee). The carboy was protected from the light and immediately transported approximately 300 meters to the Heal the Bay Aquarium located at the SMP for sample processing.<br />
<br />
Samples for nitrite + nitrate and phosphate were measured from 0.02 μm filtered seawater via flow injection analysis on a Quickchem 8500 at the Marine Science Institute Analytical Lab, UCSB (See supplemental files for metadata about these analyses).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737409 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737409
onGoing
David Caron
University of Southern California
213-740-0203
Dornsife College of Letters, Arts, and Sciences 3616 Trousdale Parkway
Los Angeles
CA
90089
USA
dcaron@usc.edu
pointOfContact
Sarah K. Hu
University of Southern California
skhu@tamu.edu
pointOfContact
Gerid A. Ollison
University of Southern California
gollison@usc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Project
Date
Location
Sample_ID
Phosphate
Nitrite_plus_nitrate
Quickchem 8500
theme
None, User defined
project
date
site description
sample identification
reactive phosphorus (PO4)
nitrate plus nitrite
featureType
BCO-DMO Standard Parameters
Flow Injection Analyzer
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.
Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series
https://osprey.bco-dmo.org/project/743049
Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series
<p>Planktonic marine microbial communities consist of a diverse collection of bacteria, archaea, viruses, protists (phytoplankton and protozoa) and small animals (metazoan). Collectively, these species are responsible for virtually all marine pelagic primary production where they form the basis of food webs and carry out a large fraction of respiratory processes. Microbial interactions include the traditional role of predation, but recent research recognizes the importance of parasitism, symbiosis and viral infection. Characterizing the response of pelagic microbial communities and processes to environmental influences is fundamental to understanding and modeling carbon flow and energy utilization in the ocean, but very few studies have attempted to study all of these assemblages in the same study. This project is comprised of long-term (monthly) and short-term (daily) sampling at the San Pedro Ocean Time-series (SPOT) site. Analysis of the resulting datasets investigates co-occurrence patterns of microbial taxa (e.g. protist-virus and protist-prokaryote interactions, both positive and negative) indicating which species consistently co-occur and potentially interact, followed by examination gene expression to help define the underlying mechanisms. This study augments 20 years of baseline studies of microbial abundance, diversity, rates at the site, and will enable detection of low-frequency changes in composition and potential ecological interactions among microbes, and their responses to changing environmental forcing factors. These responses have important consequences for higher trophic levels and ocean-atmosphere feedbacks. The broader impacts of this project include training graduate and undergraduate students, providing local high school student with summer lab experiences, and PI presentations at local K-12 schools, museums, aquaria and informal learning centers in the region. Additionally, the PIs advise at the local, county and state level regarding coastal marine water quality.</p>
<p>This research project is unique in that it is a holistic study (including all microbes from viruses to small metazoa) of microbial species diversity and ecological activities, carried out at the SPOT site off the coast of southern California. In studying all microbes simultaneously, this work aims to identify important ecological interactions among microbial species, and identify the basis(es) for those interactions. This research involves (1) extensive analyses of prokaryote (archaean and bacterial) and eukaryote (protistan and micro-metazoan) diversity via the sequencing of marker genes, (2) studies of whole-community gene expression by eukaryotes and prokaryotes in order to identify key functional characteristics of microorganismal groups and the detection of active viral infections, and (3) metagenomic analysis of viruses and bacteria to aid interpretation of transcriptomic analyses using genome-encoded information. The project includes exploratory metatranscriptomic analysis of poorly-understood aphotic and hypoxic-zone protists, to examine their stratification, functions and hypothesized prokaryotic symbioses.</p>
SPOT
largerWorkCitation
project
eng; USA
oceans
-118.497
-118.497
34.009
34.009
2018-03-26
2019-05-05
San Pedro Channel off the coast of Los Angeles
0
BCO-DMO catalogue of parameters from Nutrients (phosphate and nitrite+nitrate) from daily sampling at the Santa Monica Pier (SMP), Santa Monica Bay, CA from 2018 to 2019
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/884698.rdf
Name: Project
Units: unitless
Description: <p>Associated project</p>
http://lod.bco-dmo.org/id/dataset-parameter/884699.rdf
Name: Date
Units: unitless
Description: <p>Date sampled</p>
http://lod.bco-dmo.org/id/dataset-parameter/884700.rdf
Name: Location
Units: unitless
Description: <p>Location of sampling (e.g. Surface, st.3, SPOT= San Pedro Ocean Time-series)</p>
http://lod.bco-dmo.org/id/dataset-parameter/884701.rdf
Name: Sample_ID
Units: unitless
Description: <p>Sample Identification number</p>
http://lod.bco-dmo.org/id/dataset-parameter/884702.rdf
Name: Phosphate
Units: micromolar (uM)
Description: <p>Phosphate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/884703.rdf
Name: Nitrite_plus_nitrate
Units: micromolar (uM)
Description: <p>Nitrite+nitrate 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
364
https://datadocs.bco-dmo.org/file/xo6x4zlH95AnzM/nutrients_2018_metadata.txt
Nutrient Analysis Metadata 2018
Analysis metadata from the "FIA Nutrient Analysis Results" conducted by the Marine Science Institute Analytical Lab, UCSB in 2018.
download
351
https://datadocs.bco-dmo.org/file/B1rm0X6sV3v1yx/nutrients_2019_metadata.txt
Nutrient Analysis Metadata 2019
Analysis metadata from the "FIA Nutrient Analysis Results" conducted by the Marine Science Institute Analytical Lab, UCSB in 2019.
download
https://osprey.bco-dmo.org/dataset/883916/data/download
download
onLine
dataset
<p>Blooms were targeted in Santa Monica Bay during spring 2018 and 2019 using local meteorological information to anticipate coastal upwelling events (Figure S1,&nbsp;Ollison et al., 2022). Sampling from the Santa Monica Pier (SMP) was conducted daily at 0900&nbsp;<span style="font-size:13px">(PST/PDT)</span> from the same location and orientation on the SMP from the 16<sup>th</sup>&nbsp;through the 30<sup>th&nbsp;</sup>in April 2018 (15 days), and in 2019 from the 13<sup>th</sup>&nbsp;April through 6<sup>th</sup>&nbsp;May (22 days; no sample was collected on the 14<sup>th</sup>&nbsp;April 2019). Sampling periods are henceforth referred to as 2018 and 2019, respectively.</p>
<p>An RBR Concerto (https://rbr-global.com) was deployed in surface water for 15 minutes at the time of each sample collection to obtain temperature, conductivity, chlorophyll&nbsp;<em>a</em>&nbsp;fluorescence, and dissolved oxygen concentrations&nbsp;(See "Related Dataset" section for CTD data). A 20 µm mesh plankton net was drift towed from the pier (15 min), and samples were examined via light microscopy to identify the dominant planktonic taxa and their relative abundances.</p>
<p>Surface water for 18S rRNA sequencing (see Related Datasets section), nutrient analyses, cell counts, extracted chlorophyll concentrations, and domoic acid concentrations was collected via bucket toss from the pier; an extended funnel was used to gently fill a single acid-washed-3x-rinsed 20 L carboy per established lab protocol (https://www.protocols.io/view/sample-collection-from-the-field-for-downstream-mo-hisb4ee). The carboy was protected from the light and immediately transported approximately 300 meters to the Heal the Bay Aquarium located at the SMP for sample processing.<br />
<br />
Samples for nitrite + nitrate and phosphate were measured from 0.02 μm filtered seawater via flow injection analysis on a Quickchem 8500 at the Marine Science Institute Analytical Lab, UCSB (See supplemental files for metadata about these analyses).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Data Manager Processing Notes:<br />
* Data from source files nutrients_2018_metadata.txt, nutrients_2019_metadata.txt were imported into the BCO-DMO data system and concatenated into one data table.<br />
* blank column heading named "location" to be consistant with related datasets.<br />
* date format converted to ISO8601 format</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
Quickchem 8500
Quickchem 8500
PI Supplied Instrument Name: Quickchem 8500 Instrument Name: Flow Injection Analyzer Instrument Short Name:FIA Instrument Description: An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB36/