http://lod.bco-dmo.org/id/dataset/550666
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
2015-02-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Environmental data for SPOT virus sampling in Southern California during 2014 (Bacterial, Archaeal, and Protistan Biodiversity project)
2015-01-29
publication
2015-01-29
revision
BCO-DMO Linked Data URI
2015-01-29
creation
http://lod.bco-dmo.org/id/dataset/550666
Jed A. Fuhrman
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: Fuhrman, J. A. (2015) Environmental data for SPOT virus sampling in Southern California during 2014 (Bacterial, Archaeal, and Protistan Biodiversity project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2015-01-29) Version Date 2015-01-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/550666 [access date]
Environmental data for SPOT virus sampling Dataset Description: <p>These data pertain&nbsp;to the water samples for which the SPOT virus samples were collected. They include physical data plus nutrient concentrations, bacterial and viral abundances.</p> Methods and Sampling: <p>Water samples were collected on monthly trips to the SPOT station in the San Pedro Basin beginning in 2000 and continuing through and past 2014.</p>
<p>Cruise logs are available at:&nbsp;<a href="http://dornsife.usc.edu/spot/document-access/" target="_blank">http://dornsife.usc.edu/spot/document-access/</a></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1136818 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1136818
Funding provided by NSF Division of Molecular and Cellular Biosciences (NSF MCB) Award Number: MCB-0703159 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0703159
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1031743 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1031743
completed
Jed A. Fuhrman
University of Southern California
213-740-5757
Dept. Biological Sciences, Dornsife College of Letters, Arts, and Sciences 3616 Trousdale Parkway
Los Angeles
CA
90089-0371
USA
fuhrman@usc.edu
pointOfContact
asNeeded
Dataset Version: 2015-01-29
Unknown
cruise_id
platform
date
time_start
time_end
lat
lon
day_len
day_len_change_per_month
SSHD_sat
MEI
temp
sal
NO2
NO2_NO3
PO4
pstar_P_N
chl_a_sat
chl_a
prim_prod
cmax_depth
leu_uptake
thy_uptake
turnover_leu
turnover_thy
bact_abun
viral_abund
virus_bact_ratio
ISO_DateTime_Local_start
yrday_local
CTD Sea-Bird
Niskin bottle
theme
None, User defined
Cruise identfier
platform
date
time_start
time_end
latitude
longitude
length_day
No BCO-DMO term
water temperature at measurement depth
salinity
Nitrite
Nitrate
reactive phosphorus (PO4)
chlorophyll a
primary production
depth
leucine
bact_prod_thy
bacterial abundance
abundance
ISO_DateTime_Local
day of year and decimal time (local time zone)
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird
Fluorescence Microscope
Niskin bottle
instrument
BCO-DMO Standard Instruments
lab_Fuhrman_2014
service
Deployment Activity
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.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Pattern and Process in Marine Bacterial, Archaeal, and Protistan Biodiversity, and Effects of Human Impacts
http://dornsife.usc.edu/labs/usc-microbial-observatory/
Pattern and Process in Marine Bacterial, Archaeal, and Protistan Biodiversity, and Effects of Human Impacts
<p><em>Description from NSF award abstract:</em><br />
Bacteria, Archaea, and Protists dominate global elemental cycling and are immensely diverse genetically, taxonomically, and functionally. Yet the extent of marine microbial diversity, its patterns, and relationships among genetic, taxonomic, and functional diversity are very poorly characterized, even though the ocean covers 70% of the planet's surface. Among the least well known variables is the effect of human impacts on native marine microbial systems, although it is recognized that impacted systems are more prone to events like harmful algal blooms. Knowledge of these relationships and impacts are necessary to anticipate the responses of biota to global changes and feedback mechanisms that may alter the extents, rates, and even pathways of such changes. This project will expand upon an existing NSF-funded 10+-year monthly ocean time series (Microbial Observatory) that has focused on a single site midway between Los Angeles and Santa Catalina Island, to also include quarterly sampling adjacent to the impacted LA Harbor region to the barely-impacted Catalina coast. USC already runs facilities in LA Harbor and Catalina, with daily boats between (no cost). Measurements include (1) Genetic diversity: high throughput DNA sequences of "housekeeping" and functional genes. (2) Taxonomic diversity: high throughput tag sequences of small subunit ribosomal RNA genes, flow cytometry, automated image analysis (3) Functional Diversity: (a) Functional measurements (carbon fixation and respiration rates, microbial growth and grazing rates, cell size, morphology, and biomass variations), (b) distribution and expression of particular target functional genes involved with processes central to the cycles of carbon, nitrogen, and sulfur, (c) exploratory metatranscriptomics to explore functionalities that were not anticipated. (4) Integrating these: Multivariate statistical and network approaches including newly developed techniques (e.g. Bayesian networks to examine cause-effect relationships), and high speed computational approaches to assess the relationships among the genetic, taxonomic, and functional aspects of biodiversity observed. The PIs will also examine the collected data for signatures and specific effects (on organism identity and functions) associated with human impacted harbor site vs. the relatively pristine one.</p>
<p>The PIs will use network and time series analysis, along with other statistical tools to integrate "classical" microbial and oceanographic rate process measurements, flow cytometric and microscopic characterizations of communities, along with targeted as well as untargeted metagenomics and metatranscriptomics to relate genetic and taxonomic diversity with specific functions (at organismal, food web, and system levels). For example, they should be able to determine how different variants of particular taxa (e.g. at resolution levels ranging from what might be considered near the subspecies to genus levels) would differ in their association with particular measured functions, functional genes, or particular other taxa - or they might see how particular clusters of related organisms behave similarly or differently in their associations. This project offers an unprecedented and potentially transformative opportunity to combine and integrate measurements of genetic, taxonomic, and functional diversity along with direct measurements of system function in a well studied marine system that includes a gradient from one of the world's busiest harbors to a largely pristine ocean habitat. Far beyond just describing the distributions of organisms and functions (itself a necessary first step), they will specifically link spatial and temporal variations in a variety of functions with variations in genetic and taxonomic community composition.</p>
Bacterial, Archaeal, and Protistan Biodiversity
largerWorkCitation
project
Marine viral dynamics and incorporation into microbial association networks
http://dornsife.usc.edu/labs/fuhrmanlab/research/
Marine viral dynamics and incorporation into microbial association networks
<p><em>Description from NSF award abstract:</em><br />
Marine microbes are tremendously abundant and are major players and driving forces in global biogeochemical cycles of carbon, nitrogen, phosphorus, and iron. We learned over the past two decades that viruses are pervasive elements in marine systems, with significant ecological, biogeochemical, genetic, and evolutionary effects on cellular marine organisms, but we have remarkably little information about the dynamics of marine viral community structure and how it relates to the community structure of their hosts (largely bacteria and phytoplankton). Such information is critical for developing proper conceptual and practical models of the roles of viruses and how these change over time and space. The goals of this project are:<br />
(1) primarily, to characterize a significant subset of the natural virus community and its dynamics, along with bacterial host communities, as they change over daily to monthly time scales at the USC well-studied marine Microbial Observatory site (midway between Los Angeles and Santa Catalina Island), testing hypotheses regarding repeating patterns, host range effects, and taxa-time relationships, and<br />
(2) secondarily, to incorporate these viruses into microbial association networks by statistically connecting particular types of viruses to specific potential hosts.</p>
<p>Approaches for this study include:<br />
(a) nested daily, weekly, and monthly collection of bacteria and viruses for nucleic acid samples,<br />
(b) amplification of conserved genes, as proxy phylogenetic markers, from a few moderately-well-characterized broad viral groups previously readily found in seawater (i.e. the T4-like myoviruses, T7-like podoviruses), as well as bacterial rRNA genes,<br />
(c) extensive sequencing, after screening by community fingerprinting, from the mixed amplified products,<br />
(d) binning of the sequences or fingerprint fragments into operational taxonomic units (OTUs) at different levels of resolution,<br />
(e) evaluation of the results with statistical approaches to examine temporal patterns, relationships (including time-lagged ones) with other viral OTUs, bacteria, protists (monthly only), and environmental parameters,<br />
(f) incorporating the viral OTUs mathematically into microbial association networks.</p>
<p>Data on environmental parameters, bacteria, and protists are already being collected monthly for an existing Microbial Observatory, so the viral work is complementary to this project, providing a major value-added component. Similarly, this project will add selected daily and weekly microbial data to the Microbial Observatory. Data from the literature and from the PI's preliminary results show they have the technology and capability to meet the first goal, and to our knowledge this would be the first such data set of its scope and kind. The investigators have already published in 2006 that the bacterial communities at the 5m depth of this site show a predictable repeating annual cycle in bacterial community composition, so the expectation of a predictable repeating viral community is not unreasonable. They also have some preliminary data showing some repeated viral occurrences. The second goal requires that there are indeed significant statistical relationships between the viruses and other measured parameters, which the PI anticipates to be the case, but of course cannot predict; if they cannot be demonstrated, this result itself would be informative and would constrain the possible modes of microbial/viral interactions.</p>
Marine Viral Dynamics
largerWorkCitation
project
MO: Assembly of Marine Microbial Communities
https://osprey.bco-dmo.org/project/550672
MO: Assembly of Marine Microbial Communities
<p>Abstract: </p>
<p>The USC Microbial Observatory was established in 2000. The research focus of this observatory is an investigation of the microbial diversity and microbial community composition at a study site in the San Pedro Channel and Basin off the coast of southern California. The Channel area encompasses a diversity of coastal ocean habitats. The near-coast region borders one of the most highly urbanized areas of the country (greater Los Angeles) while open ocean waters impinge on the Channel Island archipelago that extends to within 30 km of the mainland. The San Pedro Basin is a deep-water environment (approximately 890 m) that exhibits very low oxygen concentration. The overarching objective of this project is the derivation of fundamental understanding of how microbial communities in the ocean are organized spatially (with depth) and temporally (at scales of months-to-years), and how environmental and biological factors shape this organization. The basic premise of the research is that "guilds" or "consortia" of microbial species exist that constitute functional subunits within the huge diversity of taxa that comprise planktonic microbial communities. The microbial species forming these guilds are functionally interdependent, and act as ecological units that replace one another in time and space as environmental conditions change. The program consists of monthly sampling at four depths in order to document the abundance, biomass and species composition of all planktonic microorganisms at the mid-channel sampling station. A variety of microscopical and molecular biological approaches are employed to examine archaeal, bacterial and microeukaryote (microalgal, protozoan, micrometazoan) diversity. The observatory is unique in that it entails an assessment of the complete spectrum of microorganisms (from viruses to the largest protists) in the water column. Genetic fingerprinting of the total microbial community is the primary tool for revealing the trophic roles and relationships among microbial taxa (predation, mutualism, commensalism, parasitism/infection), and to generate hypotheses on the interdependences among these species. Experimental studies involve manipulative food web experiments to test hypotheses concerning the relationships and interactions among the various microbial species. The data support extensive statistical analyses to identify relationships between microbial taxa, and with environmental parameters.</p>
<p>This research program strives to develop a fundamental understanding of the factors controlling the structure of microbial communities in aquatic ecosystems. Therefore, the results have far-reaching consequences for predicting biogeochemical processes mediated by microbial activities in nature. The project also incorporates a strong educational component aimed at reaching students ranging from elementary school children to graduate students. The information resulting from the research is incorporated into undergraduate and graduate courses taught by the principal investigators, and both types of students participate actively in the research. In addition, the principal investigators and graduate students supported by this project participate directly in an ongoing teacher education program (Centers for Ocean Science Education Excellence; COSEE-West) that reaches middle and high school students, many of whom are Hispanic, African-American or other ethnic minorities and most of whom are economically disadvantaged. This education/outreach goal is accomplished through an existing teacher enhancement and student enrichment program that incorporates the research from this microbial observatory into a learning experience that enhances student awareness of environmental science, microbiology and the natural world. The observatory principal investigators work is featured and publicly available on the internet as a part of the USC Microbial Observatory Website at <a href="http://www.usc.edu/microbialobservatory">http://www.usc.edu/microbialobservatory</a>)</p>
Mar. Microbial Communities
largerWorkCitation
project
eng; USA
biota
oceans
2015-01-29
From projects that focused on the following 3 locations: 1. San Pedro Ocean Time Series; approx. 33N, 118W 2. Southern California between Los Angeles and Santa Catalina Island; Approx. 33.5N, 118.5 W 3. San Pedro Channel and Basin off southern California coast
0
BCO-DMO catalogue of parameters from Environmental data for SPOT virus sampling in Southern California during 2014 (Bacterial, Archaeal, and Protistan Biodiversity 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
http://lod.bco-dmo.org/id/dataset-parameter/553383.rdf
Name: cruise_id
Units: unitless
Description: <p>cruise identification</p>
http://lod.bco-dmo.org/id/dataset-parameter/553384.rdf
Name: platform
Units: unitless
Description: <p>vessel name</p>
http://lod.bco-dmo.org/id/dataset-parameter/553385.rdf
Name: date
Units: yyyy-mm-dd
Description: <p>date of cruise</p>
http://lod.bco-dmo.org/id/dataset-parameter/553386.rdf
Name: time_start
Units: HH:MM
Description: <p>cruise start time</p>
http://lod.bco-dmo.org/id/dataset-parameter/553387.rdf
Name: time_end
Units: HH:MM
Description: <p>cruise end time</p>
http://lod.bco-dmo.org/id/dataset-parameter/553388.rdf
Name: lat
Units: decimal degrees
Description: <p>station latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/553389.rdf
Name: lon
Units: decimal degrees
Description: <p>station longitude; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/553390.rdf
Name: day_len
Units: hours
Description: <p>length of day; geosphere package in R; daylength(date; 33.55)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553391.rdf
Name: day_len_change_per_month
Units: hours
Description: <p>day length change per month: geosphere package in R; daylength(date; 33.55)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553392.rdf
Name: SSHD_sat
Units: meters
Description: <p>Sea Surface Height Deviation - Aviso: 0.25 degrees; global; science quality; monthly average</p>
http://lod.bco-dmo.org/id/dataset-parameter/553393.rdf
Name: MEI
Units: standard departure
Description: <p>Multivariate ENSO Index</p>
http://lod.bco-dmo.org/id/dataset-parameter/553394.rdf
Name: temp
Units: degrees Celsius
Description: <p>temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/553395.rdf
Name: sal
Units: practical salinity units
Description: <p>salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/553396.rdf
Name: NO2
Units: microMoles
Description: <p>nitrite concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/553397.rdf
Name: NO2_NO3
Units: microMoles
Description: <p>nitrate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/553398.rdf
Name: PO4
Units: microMoles
Description: <p>phosphate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/553399.rdf
Name: pstar_P_N
Units: microMoles
Description: <p>[Phosphate]- [Nitrate + Nitrite]/16</p>
http://lod.bco-dmo.org/id/dataset-parameter/553400.rdf
Name: chl_a_sat
Units: mg/m^3
Description: <p>chlorophyll-a satellite monthly</p>
http://lod.bco-dmo.org/id/dataset-parameter/553401.rdf
Name: chl_a
Units: mg/m^3
Description: <p>chlorophyll-a by Niskin measurements</p>
http://lod.bco-dmo.org/id/dataset-parameter/553402.rdf
Name: prim_prod
Units: mg_C/m^2/day
Description: <p>primary productivity satellite monthly average</p>
http://lod.bco-dmo.org/id/dataset-parameter/553403.rdf
Name: cmax_depth
Units: meters
Description: <p>depth of chlorophyll maximum</p>
http://lod.bco-dmo.org/id/dataset-parameter/553404.rdf
Name: leu_uptake
Units: cells/ml/day
Description: <p>bacterial Productivity (Leucine)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553405.rdf
Name: thy_uptake
Units: cells/ml/day
Description: <p>bacterial Productivity (Thymidine)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553406.rdf
Name: turnover_leu
Units: days
Description: <p>[bacteria]/bacterial productivity (Leucine)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553407.rdf
Name: turnover_thy
Units: days
Description: <p>[bacteria]/bacterial productivity (Thymedine)</p>
http://lod.bco-dmo.org/id/dataset-parameter/553408.rdf
Name: bact_abun
Units: cells/ml
Description: <p>bacterial abundance</p>
http://lod.bco-dmo.org/id/dataset-parameter/553409.rdf
Name: viral_abund
Units: VLP/ml
Description: <p>viral abundance</p>
http://lod.bco-dmo.org/id/dataset-parameter/553410.rdf
Name: virus_bact_ratio
Units: unitless
Description: <p>virus to bacteriaratio</p>
http://lod.bco-dmo.org/id/dataset-parameter/553466.rdf
Name: ISO_DateTime_Local_start
Units: YYYY-MM-DDTHH:MM:SS.xx
Description: <p>local time formatted as ISO 8601:2004(E) standard</p>
http://lod.bco-dmo.org/id/dataset-parameter/553472.rdf
Name: yrday_local
Units: decimal number
Description: <p>Sequential day of the year with decimal.</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
7441
https://datadocs.bco-dmo.org/file/LAAGpQOhQPRpWq/SPOT_virus_environ.csv
SPOT_virus_environ.csv
Primary data file for dataset ID 550666
download
https://osprey.bco-dmo.org/dataset/550666/data/download
download
onLine
dataset
<p>Water samples were collected on monthly trips to the SPOT station in the San Pedro Basin beginning in 2000 and continuing through and past 2014.</p>
<p>Cruise logs are available at:&nbsp;<a href="http://dornsife.usc.edu/spot/document-access/" target="_blank">http://dornsife.usc.edu/spot/document-access/</a></p>
Specified by the Principal Investigator(s)
<p>Detailed information on the <strong><a href="http://dmoserv3.whoi.edu/data_docs/Bact_Arch_Prot_Biodiversity/Cram_Suppl_Methods.pdf" target="_blank">methodology</a></strong> (pdf), including:<br />
&nbsp;&nbsp; &nbsp;Satellite measurements<br />
&nbsp;&nbsp; &nbsp;Assigning Taxonomic Identities to ARISA peaks<br />
&nbsp;&nbsp; &nbsp;Environmental parameter variability<br />
&nbsp;&nbsp; &nbsp;Seasonal variability of microbial community structure<br />
&nbsp;&nbsp; &nbsp;Mantel test approach<br />
&nbsp;&nbsp; &nbsp;Interannual variability of microbial community structure<br />
&nbsp;&nbsp; &nbsp;Alpha diversity:&nbsp;<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Variability between depths<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Relation to season<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Relation to community similarity between depths<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Relation to community change<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Environmental parameters and community structure: Mantel tests<br />
&nbsp;&nbsp; &nbsp;Temporal dynamics of microbial taxa over time<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Transformations<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Taxonomic Groups<br />
&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;OTUs</p>
<p><strong>Relevent References:</strong></p>
<p>Beman JM, Steele JA, Fuhrman JA. (2011). Co-occurrence patterns for abundant marine archaeal and bacterial lineages in the deep chlorophyll maximum of coastal California. ISME J 5: 1077-1085.</p>
<p>* Cram JA, Chow C-ET, Sachdeva R, et al. (2014) Seasonal and interannual variability of the marine bacterioplankton community throughout the water column over ten years. The ISME Journal. doi: 10.1038/ismej.2014.153.</p>
<p>Frouin R, Franz BA, Werdell PJ (2003) The SeaWiFS PAR product. Algorithm updates for the fourth SeaWiFS data reprocessing 46-50.</p>
<p>Fuhrman J, Azam F (1982) Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters - evaluation and field results. marine biology 66:109-120.</p>
<p>Kirchman D, K’nees E, Hodson R (1985) Leucine incorporation and its potential as a measure of protein synthesis by bacteria in natural aquatic systems. Appl Environ Microbiol 49:599-607.</p>
<p>Morel A, Gentili B (2009) A simple band ratio technique to quantify the colored dissolved and detrital organic material from ocean color remotely sensed data. Remote Sensing of Environment 113:998-1011. doi: 10.1016/j.rse.2009.01.008</p>
<p>Noble RT, Fuhrman JA. (1998). Use of SYBR Green I for rapid epifluorescence counts of marine viruses and bacteria. Aquat. Microb. Ecol 14: 113-118.</p>
<p>Parsons TR (1984) A manual of chemical and biological methods for seawater analysis, 1st ed. Pergamon Press, Oxford [Oxfordshire]; New York</p>
<p>Patel A, Noble RT, Steele JA, Schwalbach MS, Hewson I, Fuhrman JA. (2007). Virus and prokaryote enumeration from planktonic aquatic environments by<br />
epifluorescence microscopy with SYBR Green I. Nat Protoc 2: 269-276.</p>
<p>Stramski D, Reynolds RA, Babin M, et al. (2008) Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans. Biogeosciences 5:171-201.</p>
<p><strong>BCO-DMO Processing:</strong></p>
<p>- added conventional header with dataset name, PI name, version date<br />
- renamed parameters to BCO-DMO standard or more descriptive terms<br />
- replaced na with nd<br />
- reformated data from m/d/yyyy to yyyy-mm-dd<br />
- reduced number of digits for most parameters</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
CTD Sea-Bird
CTD Sea-Bird
PI Supplied Instrument Name: CTD Sea-Bird Instrument Name: CTD Sea-Bird Instrument Short Name:CTD Sea-Bird Instrument Description: A Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics. This instrument designation is used when specific make and model are not known or when a more specific term is not available in the BCO-DMO vocabulary. Refer to the dataset-specific metadata for more information about the specific CTD used. More information from: http://www.seabird.com/ Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
PI Supplied Instrument Name: Instrument Name: Fluorescence Microscope Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB06/
Niskin bottle
Niskin bottle
PI Supplied Instrument Name: Niskin bottle Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
Deployment: lab_Fuhrman_2014
lab_Fuhrman_2014
USC
laboratory
lab_Fuhrman_2014
Jed A. Fuhrman
University of Southern California
USC
laboratory