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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | graph | files | public | [Bacterial cell counts] - Bacterial cell counts during CDOM monoculture experiment (Collaborative Research: Planktonic Sources of Chromophoric Dissolved Organic Matter in Seawater) | I M | background | BCO-DMO | bcodmo_dataset_748415 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Bacterial cells were enumerated by flow cytometry. At each sampling point 1 mL of experimental or control water was fixed with 0.1% glutaraldehyde (final concentration) for 10 min at room temperature in the dark, and stored frozen at -80 \u00b0C. Prior to analysis, thawed samples were pipetted through a cell strainer (Flowmi, 70 \u00b5m porosity) and stained with SYBR Green I for 15 min on ice in the dark. Counts were performed with a FACSCalibur flow cytometer (Becton-Dickson) using fluorescent microspheres (Molecular Probes) of 1 \u00b5m in diameter as internal size standard. Cells were enumerated according to their right angle scatter and green fluorescence using the FloJo 7.6.1 software. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 734588 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1459406 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459406 |
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 | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Bacterial cell counts during CDOM monoculture experiment, 2016 PI: K. Ziervogel (UNH) version: 2018-10-16 |
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/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2018-10-17T19:59:29Z |
attribute | NC_GLOBAL | date_modified | String | 2019-03-18T15:43:05Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.748415.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/748415 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Used to make cell counts. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 748421 |
attribute | NC_GLOBAL | instruments_0_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_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 660 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | FACSCalibur flow cytometer (Becton-Dickson) |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, cell, cell_count, chemical, concentration, concentration_mL, concentration_uL, count, data, dataset, day, dmo, elapsed, end, erddap, flow, flow_rate, management, min, oceanography, office, point, preliminary, rate, start, taxon, time, time_elapsed_min, time_end, time_point_day, time_start, u, volume |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/748415/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/748415 |
attribute | NC_GLOBAL | param_mapping | String | {'748415': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/748415/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of New Hampshire |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UNH |
attribute | NC_GLOBAL | people_0_person_name | String | Kai Ziervogel |
attribute | NC_GLOBAL | people_0_person_nid | String | 734583 |
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 | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_1_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_1_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_1_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | project | String | PlankDOM |
attribute | NC_GLOBAL | projects_0_acronym | String | PlankDOM |
attribute | NC_GLOBAL | projects_0_description | String | NSF abstract: Chromophoric dissolved organic matter (CDOM) is a small but important fraction of the marine carbon pool that interacts with solar radiation and thus affects many photochemical and biological processes in the ocean. Despite its importance, the chemical basis for the formation of oceanic CDOM remains unclear. CDOM may be formed from two possible sources: 1) heterotrophic bacterial transformations of primary productivity (plankton-derived), or 2) terrestrially-derived. This project will examine the role of phytoplankton as a source of CDOM in the ocean by utilizing a powerful, new technique to measure particulate organic matter absorbance and fluorescence, discrete chemical measurements of probable precursors to planktonic CDOM, and enzymatic assays. Results of this research will provide new insights into the origin and production of planktonic CDOM and its transformation by heterotrophic bacteria. This research on CDOM will be shared broadly through a module at a North Carolina Aquarium, and streaming live feeds of shipboard activities to elementary school classrooms. Terrestrial and oceanic dissolved organic matter (DOM) differ in their chemical composition. Laboratory and open-ocean observations suggest that bacterial transformation of phytoplankton DOM produces humic-like CDOM signals that are visually similar to those in terrestrial CDOM. However, prior studies of oceanic CDOM using absorbance and fluorescence fit an electronic interaction (EI) model of intramolecular charge transfer (CT) reactions between donor and acceptor molecules common to partially-oxidized terrestrial molecules found in humic substances. This project will test the hypothesis that phytoplankton and bacteria provide a source of donors and acceptors that are microbially-transformed and linked, enabling CT contacts between them and creating oceanic CDOM. To address this, researchers will systematically study phytoplankton growth, including marine snow formation. A new technique for measuring base-extracted POM (BEPOM) absorbance and fluorescence will be used to incorporate planktonic CDOM results into the EI model, and supplemented with measurements of its probable chemical precursors. These experiments will improve understanding of how the production of CDOM in the ocean is linked to the optics and chemistry of planktonic CDOM formation. Determining the time course and extent of phytoplankton POM and DOM transformation by heterotrophic bacteria during the same phytoplankton growth experiments will provide an in-depth understanding as to how bacterial transformation of marine snow-associated planktonic organic matter drives CDOM production throughout the ocean. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2019-04 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Northern Atlantic Ocean, 34.65 N, 69.63 W |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Planktonic Sources of Chromophoric Dissolved Organic Matter in Seawater |
attribute | NC_GLOBAL | projects_0_project_nid | String | 734581 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-05 |
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 | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | This dataset is from a laboratory experiment. Four phytoplankton cultures and their associated bacterial communities were incubated in replicate roller bottles (1.9 L) over 3-6 weeks under laboratory conditions. Bacterial dynamics in the culture bottles were measured and correlated with geochemical parameters to determine the role of bacterial activities on the formation of CDOM in the cultures (Kinsey et al., 2018, see below).\r\n\r\nThe data include bacterial cell counts during CDOM monoculture experiment. The phytoplankton cultures were Skeletonema sp., Leptocylindrus sp., Phaeocystis sp. and Coscinodiscus sp. Growth stages were initial, exponential, stationary, and degradation. |
attribute | NC_GLOBAL | title | String | [Bacterial cell counts] - Bacterial cell counts during CDOM monoculture experiment (Collaborative Research: Planktonic Sources of Chromophoric Dissolved Organic Matter in Seawater) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | taxon | String | ||
attribute | taxon | bcodmo_name | String | taxon |
attribute | taxon | description | String | phytoplankton |
attribute | taxon | long_name | String | Taxon |
attribute | taxon | units | String | unitless |
variable | time_point_day | String | ||
attribute | time_point_day | bcodmo_name | String | time_point |
attribute | time_point_day | description | String | growth phase (initial/exponential/stationary/degradation) and the number of days since the start of the experiment |
attribute | time_point_day | long_name | String | Time Point Day |
attribute | time_point_day | units | String | days |
variable | time_start | String | ||
attribute | time_start | bcodmo_name | String | time_start |
attribute | time_start | description | String | time at start of experiment |
attribute | time_start | long_name | String | Time Start |
attribute | time_start | units | String | unitless |
variable | time_end | String | ||
attribute | time_end | bcodmo_name | String | time_end |
attribute | time_end | description | String | time at end of experiment |
attribute | time_end | long_name | String | Time End |
attribute | time_end | units | String | unitless |
variable | cell_count | int | ||
attribute | cell_count | _FillValue | int | 2147483647 |
attribute | cell_count | actual_range | int | 1526, 99900 |
attribute | cell_count | bcodmo_name | String | count |
attribute | cell_count | colorBarMaximum | double | 100.0 |
attribute | cell_count | colorBarMinimum | double | 0.0 |
attribute | cell_count | description | String | bacterial cell count as determined by flow cytometry |
attribute | cell_count | long_name | String | Cell Count |
attribute | cell_count | units | String | cells |
variable | flow_rate | byte | ||
attribute | flow_rate | _FillValue | byte | 127 |
attribute | flow_rate | actual_range | byte | 12, 60 |
attribute | flow_rate | bcodmo_name | String | flow_rate |
attribute | flow_rate | description | String | flow rate of the sample |
attribute | flow_rate | long_name | String | Flow Rate |
attribute | flow_rate | units | String | microliters/minute |
variable | time_elapsed_min | float | ||
attribute | time_elapsed_min | _FillValue | float | NaN |
attribute | time_elapsed_min | actual_range | float | 1.0, 10.5 |
attribute | time_elapsed_min | bcodmo_name | String | duration |
attribute | time_elapsed_min | description | String | flow count duration |
attribute | time_elapsed_min | long_name | String | Time Elapsed Min |
attribute | time_elapsed_min | units | String | minutes |
variable | volume | float | ||
attribute | volume | _FillValue | float | NaN |
attribute | volume | actual_range | float | 12.6, 368.7 |
attribute | volume | bcodmo_name | String | volume |
attribute | volume | description | String | volume of sample |
attribute | volume | long_name | String | Volume |
attribute | volume | units | String | microliters |
variable | concentration_uL | float | ||
attribute | concentration_uL | _FillValue | float | NaN |
attribute | concentration_uL | actual_range | float | 17.3, 7928.6 |
attribute | concentration_uL | bcodmo_name | String | cell_concentration |
attribute | concentration_uL | description | String | bacterial cell concentration |
attribute | concentration_uL | long_name | String | Concentration U L |
attribute | concentration_uL | units | String | cells/microliter |
variable | concentration_mL | float | ||
attribute | concentration_mL | _FillValue | float | NaN |
attribute | concentration_mL | actual_range | float | 17000.0, 7900000.0 |
attribute | concentration_mL | bcodmo_name | String | cell_concentration |
attribute | concentration_mL | description | String | bacterial cell concentration |
attribute | concentration_mL | long_name | String | Concentration M L |
attribute | concentration_mL | units | String | cells/milliliter |
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.