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Title Sum-
Institution Dataset ID
     data   graph     files  public 3A: Removal of organic carbon by natural bacterioplankton communities as a function of pCO2
from laboratory experiments between 2012 and 2016
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson
attribute NC_GLOBAL acquisition_description String TOC measurements:

The procedures used to set up each experiment (inoculum filtration and
dilution with 0.2 um filtrate) removed the majority of particulate organic
carbon such that changes in bacterioplankton carbon production and DOC removal
were mainly a function of the growth of the inoculum. Ideally, samples
collected for organic carbon would be filtered in order to directly assess DOC
removal separate from bacterioplankton carbon production over the course of
the incubations. However, sample handling during filtration can result in
contamination that obscures changes in DOC on the scale of a few micro-molar
C. To avoid contamination, seawater samples from the incubation experiments
were not filtered. Therefore, measured values of organic carbon include both
DOC and bacterioplankton carbon and are considered total organic carbon (TOC).

TOC samples were collected into 60 mL high-density polyethylene bottles
(Sargasso Sea and South Pacific Subtropical Gyre) or in combusted 40 mL glass
EPA vials with Teflon coated silicone septa (Santa Barbara Channel). All TOC
samples were frozen at -20 C until analysis. Samples were analyzed via high
temperature combustion method on a modified Shimadzu TOC-V or Shimadzu TOC-L
using the standardization and referencing approaches described in Carlson et
al. 2010.

Bacterioplankton abundance measurement \u2013 Samples for bacterioplankton
abundance were analyzed by epifluorescence microscopy with 0, 6-diamidino
-2-phenyl dihydrochloride (5ug/mL, DAPI, SIGMA-Aldrich, St. Louis, MO, USA)
according to Porter and Feig 1980, or by Flow Cytometry (FCM) on an LSR II
with SYBR Green I according to Nelson et al. 2011. See Parsons et al. 2014 and
Nelson et al. 2011 regarding sample preparation and instrument settings for
epifluorescence microscopy and FCM analyses, respectively. DAPI direct counts
and FCM analysis enumerate total prokaryotic abundance. We were not able to
differentiate between bacterial and archaeal domains and refer to the combined
cell densities as bacterioplankton abundance (Glockner et al. 1999).

Water sources:

Experiment OA11 was conducted on board a research cruise R/V Kilo Moana
KM1416. The Sargasso Sea experiments were conducted at the Bermuda Institute
for Ocean Sciences (BIOS) with water was collected via the R/V Atlantic
Explorer. The Santa Barbara Channel experiments were conducted with water
collected near-shore via a pier near the UCSB campus.

Experimental design:

At all three study sites, experiments consisted of 0.2 um-filtered (0.2 um
GSWP, Millipore, Billerica, MA) seawater or 0.2 um-filtered phytoplankton
exudate that was inoculated with natural bacterial communities. The inoculum
of natural bacterial communities consisted of either unfiltered whole seawater
(Sargasso Sea and South Pacific Subtropical Gyre experiments) or 1.2 um
filtrate (Santa Barbara Channel experiments; 1.2 um RAWP, Millipore,
Billerica, MA). Particulate organic carbon concentration in oligotrophic gyres
is low (1-3 umol L-1) so to avoid filtration artifacts such as reduced
bacterial production (unpublished data) and contamination of DOC due to
handling, the inoculum was not pre-filtered for the experiments conducted in
oligotrophic waters. Because particulate organic carbon concentration can be
much greater in coastal upwelling systems it was necessary to remove large
particles and organisms from the inoculum. Inoculum was added at 25 \u2013 30%
of final volume, effectively diluting grazer concentrations and grazing
pressure. All filters were pre-rinsed with ~2 L of deionized distilled water
and sample water prior to use in order to remove organic contaminants from the

Four types of DOC treatments were used and are described in the data as

1\. None: unamended seawater, which provided naturally occurring DOC.
2. CNP: Naturally occurring DOC amended with glucose (~10 uM C) plus NH4 Cl
(1uM) and K2HPO4 (0.1uM) (CNP)
3. Species name + \" exudate\": phytoplankton exudate
4. Species name + \" lysate\": naturally occurring DOC amended with
phytoplankton lysate (~10 uM C L-1; labeled by phytoplankton species used).

The various treatments were generated by inoculating the 0.2 um pre-filtered
seawater or exudate with the microbial community; this solution was then
divided into two polycarbonate (PC) containers to adjust\u00a0pCO2.\u00a0pCO2
levels were adjusted via chemical additions (Sargasso Sea experiment) or by
bubbling with CO2-mixed air (Santa Barbara Channel and South Pacific
Subtropical Gyre experiments). Adjusted seawater incubations were then
transferred into new PC carboys and CNP or lysate was added, if appropriate. A
very small volume of lysate (1.2 mL to 11.5 L of experimental volume) or CNP
(12 mL to 10 L of experimental water for the Sargasso Sea experiment; 0.28 mL
to 10 L of experimental volume for the Santa Barbara Channel experiment) was
added to minimize perturbing the carbonate chemistry. All experiments were
conducted in duplicate, at in situ temperatures, and in the dark to eliminate
photoautotrophic production. All PC bottles had been acid-washed (5 % or 10 %
HCL) and rinsed with deionized distilled water and sample water before use.
attribute NC_GLOBAL awards_0_award_nid String 55209
attribute NC_GLOBAL awards_0_award_number String OCE-1041038
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward?AWD_ID=1041038&HistoricalAwards=false (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_0_program_manager_nid String 51467
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Bacterial use of DOC as a function of pCO2
Uta Passow, PI
version 28 Nov 2016
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL date_created String 2013-11-25T16:22:02Z
attribute NC_GLOBAL date_modified String 2019-09-04T18:22:42Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.665253
attribute NC_GLOBAL Easternmost_Easting double -64.6353
attribute NC_GLOBAL geospatial_lat_max double 34.4216
attribute NC_GLOBAL geospatial_lat_min double -17.4502
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -64.6353
attribute NC_GLOBAL geospatial_lon_min double -149.8727
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/472032 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Shimadzu TOC-V
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Samples were analyzed via high-temperature combustion method on a modified Shimadzu TOC-V or Shimadzu TOC-L using the standardization and referencing approaches described in Carlson et al. 2010.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 665756
attribute NC_GLOBAL instruments_0_description String A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String http://onto.nerc.ac.uk/CAST/124 (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Shimadzu TOC-V Analyzer
attribute NC_GLOBAL instruments_0_instrument_nid String 603
attribute NC_GLOBAL instruments_0_supplied_name String modified Shimadzu TOC-L
attribute NC_GLOBAL instruments_1_acronym String Flow Cytometer
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Flow Cytometry (FCM) on an LSR II with SYBR Green I according to Nelson et al. 2011.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 665758
attribute NC_GLOBAL instruments_1_description String Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm)
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Flow Cytometer
attribute NC_GLOBAL instruments_1_instrument_nid String 660
attribute NC_GLOBAL instruments_1_supplied_name String Flow Cytometry (FCM)
attribute NC_GLOBAL instruments_2_dataset_instrument_description String Samples for bacterioplankton abundance were analyzed by epifluorescence microscopy with 0, 6-diamidino -2-phenyl dihydrochloride (5µg mL-1, DAPI, SIGMA-Aldrich, St. Louis, MO, USA) according to Porter and Feig 1980.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 665757
attribute NC_GLOBAL instruments_2_description String 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.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB06/ (external link)
attribute NC_GLOBAL instruments_2_instrument_name String Microscope-Fluorescence
attribute NC_GLOBAL instruments_2_instrument_nid String 695
attribute NC_GLOBAL instruments_2_supplied_name String Epifluorescence microscopy
attribute NC_GLOBAL instruments_3_acronym String Shimadzu TOC-L
attribute NC_GLOBAL instruments_3_dataset_instrument_description String Samples were analyzed via high-temperature combustion method on a modified Shimadzu TOC-V or Shimadzu TOC-L using the standardization and referencing approaches described in Carlson et al. 2010.
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 665755
attribute NC_GLOBAL instruments_3_description String A Shimadzu TOC-L Analyzer measures DOC by high temperature combustion method.

Developed by Shimadzu, the 680 degree C combustion catalytic oxidation method is now used worldwide. One of its most important features is the capacity to efficiently oxidize hard-to-decompose organic compounds, including insoluble and macromolecular organic compounds. The 680 degree C combustion catalytic oxidation method has been adopted for the TOC-L series.

attribute NC_GLOBAL instruments_3_instrument_external_identifier String http://onto.nerc.ac.uk/CAST/124.html (external link)
attribute NC_GLOBAL instruments_3_instrument_name String Shimadzu TOC-L Analyzer
attribute NC_GLOBAL instruments_3_instrument_nid String 527277
attribute NC_GLOBAL instruments_3_supplied_name String modified Shimazdu TOC-L
attribute NC_GLOBAL keywords String abun, addition, average, bact, bact_abun_x10e6_avg, bact_abun_x10e6_stderr, bact_abun_x10e6_stdev, bco, bco-dmo, biological, bottle, bottle_number, carbon, carbon dioxide, chemical, co2, commerce, data, dataset, date, days, department, deviation, dioxide, dmo, doc, doc_addition, erddap, experiment, latitude, longitude, management, number, oceanography, office, point, preliminary, site, standard, standard deviation, stderr, stdev, target, target_pCO2, time, time_days, time_point, toc, toc_avg, toc_stderr, toc_stdev, x10e6
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/472032/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/472032 (external link)
attribute NC_GLOBAL Northernmost_Northing double 34.4216
attribute NC_GLOBAL param_mapping String {'472032': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/472032/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_0_affiliation_acronym String UCSB-MSI
attribute NC_GLOBAL people_0_person_name String Dr Uta Passow
attribute NC_GLOBAL people_0_person_nid String 51317
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_1_affiliation_acronym String UCSB-MSI
attribute NC_GLOBAL people_1_person_name String Mark A. Brzezinski
attribute NC_GLOBAL people_1_person_nid String 50663
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_2_affiliation_acronym String UCSB-MSI
attribute NC_GLOBAL people_2_person_name String Craig Carlson
attribute NC_GLOBAL people_2_person_nid String 50575
attribute NC_GLOBAL people_2_role String Co-Principal Investigator
attribute NC_GLOBAL people_2_role_type String originator
attribute NC_GLOBAL people_3_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_3_affiliation_acronym String UCSB-MSI
attribute NC_GLOBAL people_3_person_name String Ms Anna James
attribute NC_GLOBAL people_3_person_nid String 471722
attribute NC_GLOBAL people_3_role String Student
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL people_4_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_4_affiliation_acronym String UCSB-MSI
attribute NC_GLOBAL people_4_person_name String Dr Uta Passow
attribute NC_GLOBAL people_4_person_nid String 51317
attribute NC_GLOBAL people_4_role String Contact
attribute NC_GLOBAL people_4_role_type String related
attribute NC_GLOBAL people_5_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_5_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_5_person_name String Stephen R. Gegg
attribute NC_GLOBAL people_5_person_nid String 50910
attribute NC_GLOBAL people_5_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_5_role_type String related
attribute NC_GLOBAL people_6_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_6_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_6_person_name String Amber York
attribute NC_GLOBAL people_6_person_nid String 643627
attribute NC_GLOBAL people_6_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_6_role_type String related
attribute NC_GLOBAL project String OA - Effects of High CO2
attribute NC_GLOBAL projects_0_acronym String OA - Effects of High CO2
attribute NC_GLOBAL projects_0_description String From the NSF Award Abstract
Coastal waters are already experiencing episodic exposure to carbonate conditions that were not expected until the end of the century making understanding the response to these episodic events as important as understanding the long-term mean response. Among the most striking examples are those associated with coastal upwelling along the west coast of the US, where the pH of surface waters may drop to 7.6 and pCO2 can reach 1100 uatm. Upwelling systems are responsible for a significant fraction of global carbon export making them prime targets for investigations on how ocean acidification is already affecting the biological pump today.
In this study, researchers at the University of California at Santa Barbara will investigate the potential effects of ocean acidification on the strength of the biological pump under the transient increases in CO2 experienced due to upwelling. Increases in CO2 are expected to alter the path and processing of carbon through marine food webs thereby strengthening the biological pump. Increases in inorganic carbon without proportional increases in nutrients result in carbon over-consumption by phytoplankton. How carbon over-consumption affects the strength of the biological pump will depend on the fate of the extra carbon that is either incorporated into phytoplankton cells forming particulate organic matter (POM), or is excreted as dissolved organic matter (DOM). Results from mesocosm experiments demonstrate that the mechanisms controlling the partitioning of fixed carbon between the particulate and dissolved phases, and the processing of those materials, are obscured when both processes operate simultaneously under natural or semi-natural conditions. Here, POM and DOM production and the heterotrophic processing of these materials will be separated experimentally across a range of CO2 concentrations by conducting basic laboratory culture experiments. In this way the mechanisms whereby elevated CO2 alters the flow of carbon along these paths can be elucidated and better understood for use in mechanistic forecasting models.
Broader Impacts- The need to understand the effects of ocean acidification for the future of society is clear. In addition to research education, both formal and informal, will be important for informing the public. Within this project 1-2 graduate students and 2-3 minority students will be recruited as interns from the CAMP program (California Alliance for Minority Participation). Within the 'Ocean to Classrooms' program run by outreach personnel from UCSB's Marine Science Institute an educational unit for K-12 students will be developed. Advice and support is also given to the Education Coordinator of NOAA, Channel Islands National Marine Sanctuary for the development of an education unit on ocean acidification.

Arnosti C, Grossart H-P, Muehling M, Joint I, Passow U. "Dynamics of extracellular enzyme activities in seawater under changed atmsopheric pCO2: A mesocosm investigation.," Aquatic Microbial Ecology, v.64, 2011, p. 285.
Passow U. "The Abiotic Formation of TEP under Ocean Acidification Scenarios.," Marine Chemistry, v.128-129, 2011, p. 72.
Passow, Uta; Carlson, Craig A.. "The biological pump in a high CO2 world," MARINE ECOLOGY PROGRESS SERIES, v.470, 2012, p. 249-271.
Gaerdes, Astrid; Ramaye, Yannic; Grossart, Hans-Peter; Passow, Uta; Ullrich, Matthias S.. "Effects of Marinobacter adhaerens HP15 on polymer exudation by Thalassiosira weissflogii at different N:P ratios," MARINE ECOLOGY PROGRESS SERIES, v.461, 2012, p. 1-14.
Philip Boyd, Tatiana Rynearson, Evelyn Armstrong, Feixue Fu, Kendra Hayashi, Zhangi Hu, David Hutchins, Raphe Kudela, Elena Litchman, Margaret Mulholland, Uta Passow, Robert Strzepek, Kerry Whittaker, Elizabeth Yu, Mridul Thomas. "Marine Phytoplankton Temperature versus Growth Responses from Polar to Tropical Waters - Outcome of a Scientific Community-Wide Study," PLOS One 8, v.8, 2013, p. e63091.
Arnosti, C., B. M. Fuchs, R. Amann, and U. Passow. "Contrasting extracellular enzyme activities of particle-associated bacteria from distinct provinces of the North Atlantic Ocean," Frontiers in Microbiology, v.3, 2012, p. 1.
Koch, B.P., Kattner, G., Witt, M., Passow, U., 2014. Molecular insights into the microbial formation of marine dissolved organic matter: recalcitrant or labile? Biogeosciences Discuss. 11 (2), 3065-3111.
Taucher, J., Brzezinski, M., Carlson, C., James, A., Jones, J., Passow, U., Riebesell, U., submitted. Effects of warming and elevated pCO2 on carbon uptake and partitioning of the marine diatoms Thalassiosira weissflogii and Dactyliosolen fragilissimus. Limnology and Oceanography
attribute NC_GLOBAL projects_0_end_date String 2014-09
attribute NC_GLOBAL projects_0_geolocation String Passow Lab, Marine Science Institute, University of California Santa Barbara
attribute NC_GLOBAL projects_0_name String Will high CO2 conditions affect production, partitioning and fate of organic matter?
attribute NC_GLOBAL projects_0_project_nid String 2284
attribute NC_GLOBAL projects_0_project_website String http://www.msi.ucsb.edu/people/research-scientists/uta-passow (external link)
attribute NC_GLOBAL projects_0_start_date String 2010-10
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL Southernmost_Northing double -17.4502
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Factors that affect the removal of organic carbon by heterotrophic bacterioplankton can impact the rate and magnitude of organic carbon loss in the ocean through the conversion of a portion of consumed organic carbon to CO2. Through enhanced rates of consumption, surface bacterioplankton communities can also reduce the amount of dissolved organic carbon (DOC) available for export from the surface ocean. The present study investigated the direct effects of elevated pCO2 on bacterioplankton removal of several forms of DOC ranging from glucose to complex phytoplankton exudate and lysate, and naturally occurring DOC. Elevated pCO2 (1000 \u2013 1500 ppm) enhanced both the rate and magnitude of organic carbon removal by bacterioplankton communities compared to low (pre-industrial and ambient) pCO2 (250 \u2013 ~400 ppm). The increased removal was largely due to enhanced respiration, rather than enhanced production of bacterioplankton biomass.
attribute NC_GLOBAL title String 3A: Removal of organic carbon by natural bacterioplankton communities as a function of pCO2 from laboratory experiments between 2012 and 2016
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -149.8727
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable experiment   String  
attribute experiment bcodmo_name String exp_id
attribute experiment description String Experiment identifier
attribute experiment long_name String Experiment
attribute experiment units String unitless
variable site   String  
attribute site bcodmo_name String site
attribute site description String Site the water for the experiment came from
attribute site long_name String Site
attribute site units String unitless
variable latitude   double  
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double -17.4502, 34.4216
attribute latitude axis String Y
attribute latitude bcodmo_name String latitude
attribute latitude colorBarMaximum double 90.0
attribute latitude colorBarMinimum double -90.0
attribute latitude description String Latitude where water samples were collected; north is positive.
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
variable longitude   double  
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double -149.8727, -64.6353
attribute longitude axis String X
attribute longitude bcodmo_name String longitude
attribute longitude colorBarMaximum double 180.0
attribute longitude colorBarMinimum double -180.0
attribute longitude description String Longitude where water samples were collected; west is negative.
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable bottle_number   String  
attribute bottle_number bcodmo_name String bottle
attribute bottle_number description String Bottle identifier
attribute bottle_number long_name String Bottle Number
attribute bottle_number units String unitless
variable doc_addition   String  
attribute doc_addition bcodmo_name String treatment
attribute doc_addition description String Dissolved organic carbon additions. See Aquisition Description section for an explaination of values.
attribute doc_addition long_name String Doc Addition
attribute doc_addition units String unitless
variable target_pCO2   short  
attribute target_pCO2 _FillValue short 32767
attribute target_pCO2 actual_range short 250, 1500
attribute target_pCO2 bcodmo_name String pCO2
attribute target_pCO2 description String Target pCO2 level
attribute target_pCO2 long_name String Target P CO2
attribute target_pCO2 nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/ (external link)
attribute target_pCO2 units String parts per million (ppm)
variable time_point   String  
attribute time_point bcodmo_name String time_point
attribute time_point description String Time point identifier in experiment
attribute time_point long_name String Time Point
attribute time_point units String unitless
variable time_days   float  
attribute time_days _FillValue float NaN
attribute time_days actual_range float 0.0, 17.05
attribute time_days bcodmo_name String time_elapsed
attribute time_days description String Elapsed time since start of experiment in days
attribute time_days long_name String Time Days
attribute time_days nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/ (external link)
attribute time_days units String unitless
variable date   String  
attribute date bcodmo_name String date
attribute date description String Date of experiment in format YYYY-MM-DD
attribute date long_name String Date
attribute date nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute date units String unitless
variable bact_abun_x10e6_avg   float  
attribute bact_abun_x10e6_avg _FillValue float NaN
attribute bact_abun_x10e6_avg actual_range float 0.0, 4.86
attribute bact_abun_x10e6_avg bcodmo_name String bact_abundance
attribute bact_abun_x10e6_avg description String Bacterial abundance multiplied by 10^6
attribute bact_abun_x10e6_avg long_name String Bact Abun X10e6 Avg
attribute bact_abun_x10e6_avg nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/BNTX (external link)
attribute bact_abun_x10e6_avg units String cells per milliliter
variable bact_abun_x10e6_stderr   float  
attribute bact_abun_x10e6_stderr _FillValue float NaN
attribute bact_abun_x10e6_stderr actual_range float 0.0, 1.16
attribute bact_abun_x10e6_stderr bcodmo_name String bact_abundance
attribute bact_abun_x10e6_stderr colorBarMaximum double 50.0
attribute bact_abun_x10e6_stderr colorBarMinimum double 0.0
attribute bact_abun_x10e6_stderr description String Standard error of bacterial abundance multiplied by 10^6
attribute bact_abun_x10e6_stderr long_name String Bact Abun X10e6 Stderr
attribute bact_abun_x10e6_stderr nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/BNTX (external link)
attribute bact_abun_x10e6_stderr units String cells per milliliter
variable bact_abun_x10e6_stdev   float  
attribute bact_abun_x10e6_stdev _FillValue float NaN
attribute bact_abun_x10e6_stdev actual_range float 0.0, 1.64
attribute bact_abun_x10e6_stdev bcodmo_name String bact_abundance
attribute bact_abun_x10e6_stdev description String Standard deviation Bacterial abundance multiplied by 10^6
attribute bact_abun_x10e6_stdev long_name String Bact Abun X10e6 Stdev
attribute bact_abun_x10e6_stdev nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/BNTX (external link)
attribute bact_abun_x10e6_stdev units String cells per milliliter
variable toc_avg   float  
attribute toc_avg _FillValue float NaN
attribute toc_avg actual_range float 63.84, 398.62
attribute toc_avg bcodmo_name String TOC
attribute toc_avg description String Total organic carbon
attribute toc_avg long_name String Toc Avg
attribute toc_avg nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/ (external link)
attribute toc_avg units String micromoles per liter (uM)
variable toc_stderr   float  
attribute toc_stderr _FillValue float NaN
attribute toc_stderr actual_range float 0.0, 14.2
attribute toc_stderr bcodmo_name String TOC
attribute toc_stderr colorBarMaximum double 50.0
attribute toc_stderr colorBarMinimum double 0.0
attribute toc_stderr description String Standard error of total organic carbon
attribute toc_stderr long_name String Toc Stderr
attribute toc_stderr nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/ (external link)
attribute toc_stderr units String micromoles per liter (uM)
variable toc_stdev   float  
attribute toc_stdev _FillValue float NaN
attribute toc_stdev actual_range float 0.0, 20.08
attribute toc_stdev bcodmo_name String TOC
attribute toc_stdev description String Standard deviation of total organic carbon
attribute toc_stdev long_name String Toc Stdev
attribute toc_stdev nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/ (external link)
attribute toc_stdev units String micromoles per liter (uM)

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

ERDDAP, Version 2.02
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