Contributors | Affiliation | Role |
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Giovannoni, Stephen | Oregon State University (OSU) | Principal Investigator |
Carlson, Craig A. | University of California-Santa Barbara (UCSB-MSI) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016.
See Supplemental Documents below.
BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- replaced blank cells with ‘nd’ (no data)
- changed sign of longitude (lon) so negative values represent west
File |
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AE1703_bottle.csv (Comma Separated Values (.csv), 74.04 KB) MD5:fb2b8c7dce3dfde303debd9fe15f38ab Primary data file for dataset ID 753679 |
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DOC and TDN methodology (UCSB) filename: DOC-TDN_UCSB_method.pdf (Portable Document Format (.pdf), 122.71 KB) MD5:310f5c86b897d43276e8ad27a3873e50 Methodology for measuring Dissolved Organic Carbon and Total Dissolved Nitrogen |
Methodology for bacterial abundance - DAPI filename: bact_abun_DAPI_method.pdf (Portable Document Format (.pdf), 70.83 KB) MD5:3393f21489687d12bc5c6621ebbb23ac Determination of Bacterial Abundance using DAPI DNA binding stain and
Epifluorescence microscopy |
Methodology for bacterial production measurement filename: BactProd_method.pdf (Portable Document Format (.pdf), 128.90 KB) MD5:181de3ce9c9037073127e41d36a2219b Microcentrifuge Method Protocol for Determination of Bacterial Production Rates via
3H-Leucine incorporation |
Parameter | Description | Units |
sample_id | Unique Identified Code for each sample collected | unitless |
Cruise | cruise name | unitless |
Cast | cast number | unitless |
Niskin | Niskin bottle number | unitless |
date | Date (yyyymmdd) | unitless |
date_decyr | Date (decimal year) | unitless |
time_UTC | Timestamp (UTC) hh:mm | unitless |
lat | Latitude; north is positive | decimal degrees |
lon | Longitude; east is positive | decimal degrees |
Depth | Sampling depth in meters | meters |
Temp | CTD temperature | degrees celsius |
CTD_S | CTD salinity | pratical salinity units (PSU) |
Pressure | CTD Pressure | decibars |
Sigma_theta | CTD sigma theta (potental density) | kilogram/meter^3 |
Conductivity | CTD Conductivity | Siemens per meter |
Fluor | CTD Fluorescence | milligram per Liter |
Par | CTD photosynthetically available radiation | micro-Einsteins/meter^2/second (uE/m^2/sec) |
O2 | CTD Oxygen | millimole per kilogram |
beam_trans_CStarTr0 | CTD beam transmission as percent | unitless |
NO3_NO2 | Nitrate+Nitrite concentration by flow injection autoanalyzer (Lachat QuikChem 8000) | millimole per Liter |
NO3_NO2_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
PO4 | ortho-Phosphate concentration by flow injection autoanalyzer (Lachat QuikChem 8000) | millimole per Liter |
PO4_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
NH4 | Ammonium ion concentration by flow injection autoanalyzer (Lachat QuikChem 8000) | millimole per liter |
NH4_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
POC_mg_L | Particulate organic carbon measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman) | milligram per Liter |
POC_mmol_L | Particulate organic carbon | millimole per Liter |
POC_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
PON_mg_L | Particulate organic nitrogen measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman) | milligram per Liter |
PON_mmol_L | Particulate organic nitrogen | millimole per Liter |
PON_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
DOC | Dissolved organic carbon concentration by HTCO. Glass fiber filtrate type GF/F (Whatman). Methodological reference is Carlson et al. 2010 DSRII | micromolar |
DOC_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
TDN | Total dissolved nitrogen concentration by HTCO. Glass fiber filtrate type GF/F (Whatman). | micromolar |
TDN_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
Bact | Bacterioplankton abundance by microscopy. Methodological reference: K.G. Porter and Y.S. Feig (1980). The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr 25(5): 943-948. | cells per milliliter |
Bact_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
Bact_Prod | Heterotrophic bacterial production by 3H Leu uptake. Methodological reference: Smith DC & Azam F (1992) A simple economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Mar Microb Food Webs 6: 107_114. | picomoles per liter per hour |
Bact_Prod_QF | Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement | unitless |
Dataset-specific Instrument Name | |
Generic Instrument Name | CTD - profiler |
Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
Dataset-specific Instrument Name | Epifluorescence microscope |
Generic Instrument Name | Fluorescence Microscope |
Dataset-specific Description | Used to enumerate bacterial abundance |
Generic 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. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Liquid Scintillation Counter |
Dataset-specific Description | Used to count microbial cells |
Generic Instrument Description | Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.
Liquid scintillation counters are instruments assaying alpha and beta radiation by quantitative detection of visible light produced by the passage of rays or particles through a suitable scintillant incorporated into the sample. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Niskin bottle |
Generic 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. |
Dataset-specific Instrument Name | Shimadzu High Temperature Combustion system |
Generic Instrument Name | Shimadzu TOC-V Analyzer |
Dataset-specific Description | Used to measure non-purgeable Organic Carbon (NPOC) and Total Dissolved Nitrogen (TDN) |
Generic Instrument Description | A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method. |
Website | |
Platform | R/V Atlantic Explorer |
Report | |
Start Date | 2017-03-29 |
End Date | 2017-04-04 |
Description | Cruise for project "Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria". |
SAR11 (Pelagibacterales) are the most abundant group of bacterioplankton in the oceans. Globally, they are estimated to oxidize to carbon dioxide (CO2) between 5 and 22% of all the organic carbon produced by photosynthesis each day. The activities of bacterioplankton such as SAR11 determine the residence times of different forms of organic carbon, and ultimately shape the composition of dissolved organic pools in the oceans, which rival atmospheric CO2 in mass. Accurate and detailed information about the oceanic carbon cycle is used in models that are valued for their potential to predict and understand future changes in ocean ecosystems. This grant supports analyses of genomic data that predict the carbon oxidation functions of SAR11 cells, and supports experiments with cells in culture, where high-resolution mass spectrometry technology is applied to discover new organic carbon oxidation biochemistry. To assess the importance of SAR11 carbon oxidation functions in ocean ecosystems, this project includes four short oceanographic cruises to the Bermuda Atlantic Time-series Study (BATS) site, in the western Sargasso Sea. On these cruises the concentrations and oxidation rates of organic compounds will be measured, and linked to variation in planktonic SAR11 populations.
It is a paradox that SAR11 cells are the most abundant in the oceans, but also have among the smallest genomes known. The central goal of this proposal is to understand what types of dissolved organic matter (DOM) are oxidized to CO2 by SAR11. Implicit to this approach is the perspective that some abundant chemoheterotrophic bacterioplankton taxa, particularly those with small genomes, have evolved specialist strategies for oxidizing organic matter. Understanding these strategies can lead to a more detailed and accurate understanding of the biological processes that recycle biological production to CO2. Major project aims are: 1) investigate SAR11 genomes and assay cells in culture with high-resolution mass spectrometry approaches and isotopic labeling to identify the range of compounds these cells can oxidize to CO2; 2) at BATS, measure biological oxidation rates of DOM compounds used by SAR11; 3) link spatiotemporal SAR11 genome variation to patterns of DOM oxidation in the ocean surface layer (0-300 m). This projects includes four short cruises to BATS that target the four microbial plankton community types at this site: upper euphotic zone, deep chlorophyll maximum, spring bloom and upper mesopelagic. Products of this activity will include new information about variation in labile DOM oxidation across the surface layer, and specific links to genome features that will improve the accuracy of interpretation of global ocean metagenomic data.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |