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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 | [Cell counts in dilution experiment] - Prochlorococcus and Synechococcus cell counts in dilution experiment treatments from samples collected on RV Cape Hatteras cruises CH0409 and CH0510 in 2009 and 2010. (Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach) | I M | background | BCO-DMO | bcodmo_dataset_716979 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Dilution Experiments: For an overview of the purpose and interpretation of dilution experiments see Landry (1993) and Worden & Binder (2003). Seawater samples were taken with Go-Flo bottles suspended on non-metallic cable. A portion of this water was gravity-filtered through 0.2 um pore-size capsule filters (Whatman Polycap 36 TC), and appropriate volumes of filtered and unfiltered seawater were added to 500 ml polycarbonate bottles to achieve the indicated dilutions. Time-0 (T0) samples were removed from each bottle and preserved for later flow cytometric analysis as described below. Incubation bottles were then distributed to nylon mesh bags and resuspended in the water column at the depths indicated. After 24 hours, the bottles were recovered and sampled for time-final (TF) counts. All sampling gear, filters, and incubation bottles were acid-washed per Fitzwater et al. (1982). The dates, times, and locations of the experiments were as follows: \u00a0 Cruise\u00a0 \u00a0 \u00a0 Exper\u00a0 \u00a0 Date (UTC)\u00a0 \u00a0 T0 (UTC)\u00a0 \u00a0 \u00a0E Long\u00a0 \u00a0 \u00a0N Lat CH0409\u00a0 \u00a0 X1\u00a0 \u00a0 \u00a0 \u00a0 \u00a026-May-09\u00a0 \u00a0 \u00a017:58:30\u00a0 \u00a0 \u00a0-71.998\u00a0 \u00a0 30.171 CH0409\u00a0 \u00a0 X2\u00a0 \u00a0 \u00a0 \u00a0 \u00a029-May-09\u00a0 \u00a0 \u00a013:28:09\u00a0 \u00a0 \u00a0-72.002\u00a0 \u00a0 30.173 CH0510\u00a0 \u00a0 X2\u00a0 \u00a0 \u00a0 \u00a0 \u00a027-May-10\u00a0 \u00a0 \u00a013:33:30\u00a0 \u00a0 \u00a0-72.683\u00a0 \u00a0 30.699 \u00a0 Flow Cytometric Cell Counts: Samples were fixed with freshly titrated paraformaldehyde (pH 7.4\u20138.1, 0.1% final concentration), held in the dark for 10 min, frozen in liquid nitrogen, and stored in a \u201180 deg C freezer (CH0409 samples) or in liquid nitrogen (CH0510 samples) until analysis. Preserved samples were analyzed by flow cytometry on a modified Coulter-EPICS 753 flow cytometer (Binder et al. 1996). Samples were chosen in random order and defrosted in a 30 deg C water bath (just long enough to melt, ~5 min). Prior to analysis, polystyrene fluorescent beads (Flow Check\u00ae 0.494 um \u201cBB\u201d; Polysicences Inc., Washington, PA, USA), were added to each sample, and used to normalize cellular light scatter and fluorescence. Samples were typically run at an infusion rate of 20 uL min-1 for 1 to 20 min, depending on cell abundance within the sample. A minimum of 1,000 Prochlorococcus cells were analyzed, except for samples in which low cell concentrations made this impractical. Final cell concentrations tabulated here were calculated from 1-7 replicate counts (Count.n). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 709338 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-0751672 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0751672 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Dilution Experiment - Cell Counts B. Binder, PI Version 12 October 2017 |
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 | 2017-10-13T21:52:11Z |
attribute | NC_GLOBAL | date_modified | String | 2019-03-19T15:36:41Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.716979.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/716979 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | GO-FLO |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Used to take seawater samples |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 717000 |
attribute | NC_GLOBAL | instruments_0_description | String | GO-FLO bottle cast used to collect water samples for pigment, nutrient, plankton, etc. The GO-FLO sampling bottle is specially designed to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/30/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | GO-FLO Bottle |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 411 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Go-flo bottle |
attribute | NC_GLOBAL | instruments_1_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Used to analyze preserved samples |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 716987 |
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/ |
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 | Coulter-EPICS 753 flow cytometer |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, bottle, chemical, count, cruise, data, dataset, depth, Depth_Incubate, Depth_Sample, dilution, dmo, erddap, exper, management, oceanography, office, preliminary, pro, syn, time, time2 |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/716979/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/716979 |
attribute | NC_GLOBAL | param_mapping | String | {'716979': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/716979/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Georgia |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UGA |
attribute | NC_GLOBAL | people_0_person_name | String | Dr Brian Binder |
attribute | NC_GLOBAL | people_0_person_nid | String | 50893 |
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 | Hannah Ake |
attribute | NC_GLOBAL | people_1_person_nid | String | 650173 |
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 | Picophytoplankton_Regulation |
attribute | NC_GLOBAL | projects_0_acronym | String | Picophytoplankton_Regulation |
attribute | NC_GLOBAL | projects_0_description | String | The intellectual merit of the research is to extend our understanding of the biology and ecology of marine picophytoplankton, a group of microbes that are responsible for a large proportion of the total photosynthetic carbon fixation that occurs in the world's oceans. The importance of picophytoplankton as the dominant primary producers in open-ocean ecosystems is well-established. However, the factors that regulate the distribution and abundance of these populations remain poorly understood. The investigators will explore the dynamics of top-down (grazer-mediated) regulation of picophytoplankton populations in a specific context: the maintenance of summertime subsurface maxima in the pico-cyanobacterium Prochlorococcus (but not Synechococcus) in the Sargasso Sea. This phenomenon represents a relatively simple and predictable model system within which to test hypotheses about the regulation of oceanic picophytoplankton in general. Recent results suggest that despite their abundance, Prochlorococcus in the subsurface maxi-mum are growing (and being grazed) rather slowly, as compared to the smaller population at the surface. In order to understand the factors responsible for this apparent paradox, this project will use a combination of field and laboratory studies to characterize and compare the interactions between Prochorococcus and its protozoan grazers at these two contrasting depths, and in relation to Synechococcus, which forms no such sub-surface maximum. The broader impacts include training for graduate and undergraduate students. In addition, given the significance of picophytoplankton as primary producers at the base of oceanic microbial food webs, the results of this project should inform efforts to describe and model the broader oceanic ecosystem, and ultimately to understand its role in the global carbon cycle. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2013-02 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Western Sargasso Sea (vicinity of 30 N 72 W) |
attribute | NC_GLOBAL | projects_0_name | String | Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach |
attribute | NC_GLOBAL | projects_0_project_nid | String | 709339 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2008-03 |
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 | Prochlorococcus and Synechococcus cell counts in dilution experiment treatments from samples collected on RV Cape Hatteras cruises CH0409 and CH0510 in 2009 and 2010. |
attribute | NC_GLOBAL | title | String | [Cell counts in dilution experiment] - Prochlorococcus and Synechococcus cell counts in dilution experiment treatments from samples collected on RV Cape Hatteras cruises CH0409 and CH0510 in 2009 and 2010. (Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Cruise | String | ||
attribute | Cruise | bcodmo_name | String | cruise_id |
attribute | Cruise | description | String | R/V Cape Hatteras Cruise Designation |
attribute | Cruise | long_name | String | Cruise |
attribute | Cruise | units | String | unitless |
variable | Exper | String | ||
attribute | Exper | bcodmo_name | String | exp_id |
attribute | Exper | description | String | Experiment Designation |
attribute | Exper | long_name | String | Exper |
attribute | Exper | units | String | unitless |
variable | Bottle | String | ||
attribute | Bottle | bcodmo_name | String | bottle |
attribute | Bottle | description | String | Unique incubation bottle identifier |
attribute | Bottle | long_name | String | Bottle |
attribute | Bottle | units | String | unitless |
variable | Depth_Sample | byte | ||
attribute | Depth_Sample | _FillValue | byte | 127 |
attribute | Depth_Sample | actual_range | byte | 20, 86 |
attribute | Depth_Sample | bcodmo_name | String | depth_w |
attribute | Depth_Sample | colorBarMaximum | double | 8000.0 |
attribute | Depth_Sample | colorBarMinimum | double | -8000.0 |
attribute | Depth_Sample | colorBarPalette | String | TopographyDepth |
attribute | Depth_Sample | description | String | Depth of source water |
attribute | Depth_Sample | long_name | String | Depth |
attribute | Depth_Sample | standard_name | String | depth |
attribute | Depth_Sample | units | String | meters |
variable | Depth_Incubate | byte | ||
attribute | Depth_Incubate | _FillValue | byte | 127 |
attribute | Depth_Incubate | actual_range | byte | 20, 86 |
attribute | Depth_Incubate | bcodmo_name | String | depth_in |
attribute | Depth_Incubate | colorBarMaximum | double | 8000.0 |
attribute | Depth_Incubate | colorBarMinimum | double | -8000.0 |
attribute | Depth_Incubate | colorBarPalette | String | TopographyDepth |
attribute | Depth_Incubate | description | String | Depth of incubation |
attribute | Depth_Incubate | long_name | String | Depth |
attribute | Depth_Incubate | standard_name | String | depth |
attribute | Depth_Incubate | units | String | meters |
variable | Dilution | float | ||
attribute | Dilution | _FillValue | float | NaN |
attribute | Dilution | actual_range | float | 0.1, 1.0 |
attribute | Dilution | bcodmo_name | String | dilution |
attribute | Dilution | description | String | Fraction of unfiltered seawater in bottle |
attribute | Dilution | long_name | String | Dilution |
attribute | Dilution | units | String | number |
variable | time2 | String | ||
attribute | time2 | bcodmo_name | String | unknown |
attribute | time2 | description | String | Sampling time; timepoints |
attribute | time2 | long_name | String | Time |
attribute | time2 | units | String | unitless |
variable | Pro | float | ||
attribute | Pro | _FillValue | float | NaN |
attribute | Pro | actual_range | float | 826.0, 140000.0 |
attribute | Pro | bcodmo_name | String | cell_concentration |
attribute | Pro | description | String | Prochlorococcus Cell Concentration |
attribute | Pro | long_name | String | Pro |
attribute | Pro | units | String | cells per milliliter |
variable | Syn | float | ||
attribute | Syn | _FillValue | float | NaN |
attribute | Syn | actual_range | float | 527.0, 35500.0 |
attribute | Syn | bcodmo_name | String | cell_concentration |
attribute | Syn | description | String | Synechococcus Cell Concentration |
attribute | Syn | long_name | String | SYN |
attribute | Syn | units | String | cells per milliliter |
variable | Count | byte | ||
attribute | Count | _FillValue | byte | 127 |
attribute | Count | actual_range | byte | 1, 7 |
attribute | Count | bcodmo_name | String | count |
attribute | Count | colorBarMaximum | double | 100.0 |
attribute | Count | colorBarMinimum | double | 0.0 |
attribute | Count | description | String | Number of counts underlying cell concentrations |
attribute | Count | long_name | String | Count |
attribute | Count | units | String | number |
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.