BCO-DMO ERDDAP
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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 Water Column Sampling:  \n Water column sampling was performed on four cruises during the spring and\nthe summer of 2011 and 2012 at the Bermuda Atlantic Time-series Study station\n(31\\u201940\\u00b0N 64\\u201910\\u00b0W, BATS) and in the mesoscale eddies found\nin the surrounding area of the Sargasso Sea. For each cruise, two stations\nwere sampled, usually in the center of a mesoscale eddy and at BATS. The edge\nof the eddy was sampled two times, as well. To be able to get a better\nreproducibility of data, each experiment was replicated.\n \nFor each experiment, seawater samples were collected pre-dawn (on deck\n2:30-4:00, local time) at four different depths within the euphotic zone (20m,\n50m, 80m and the Deep Chlorophyll Maximum, DCM). Twenty-one 10L Niskin bottles\nwere attached to a rosette with conductivity, temperature, depth sensors\n(CTD), and an in vivo fluorometer. This sensor allowed for recording in real\ntime of chlorophyll fluorescence and the DCM for each station. The water that\nwas collected from the 10L Niskin bottles was sampled for abundance and\nbiomass of the plankton community.\n \nDilution experiments:  \n The growth and grazing rates of the phytoplankton community were determined\nusing the dilution method with a two-point modification (Landry et al. 1984,\nLandry et al. 2008a, Selph et al. 2011). To check the applicability and\nresolution of the two point modification, two experiments at two different\nstations (one replicate of C3 and one replicate of B3) were carried out with a\ncomplete set of dilutions (25, 50, 75 and 100%) on-deck; the results of these\nexperiments confirmed the validity of the 2 point dilution experiment (data\nnot shown). The Landry-Hassett dilution method was used because it can\nseparate autotrophic and heterotrophic processes with relatively little\nmanipulation (Landry & Hassett, 1982, Landry et al 1984). The method is based\non the concept that the dilution lowers the encounter probability of grazer\nand prey and enables one to calculate from the net phytoplankton population\ngrowth (k) in the diluted and undiluted incubation bottles the instantaneous\ngrowth rate (u) and grazing mortality (g), where k= u - g (Landry & Hassett,\n1982). This method is based on three assumptions. \\u00a0The first one is that\nthe instantaneous growth rate of any phytoplankton group is not influenced by\nthe dilution of the \\u201cseawater/sample\\u201d with particle free water. The\nsecond assumption is that the probability of a phytoplankton to be grazed by\nthe consumer is directly related to the abundance of the consumer itself,\nwhich means that with a higher density of grazers the probability of the prey\nto be grazed is higher as well, making the grazing a function of the dilution.\nThe third assumption is the sum of the first two assumptions, that the change\nin the abundance of the phytoplankton community over time can be expressed by\nthe exponential growth equation:\n \nPt=P0 e ^ [(u -xg)t]\n \nwhere P0 and Pt \\u00a0are the initial and the final abundances or biomass of\nbulk or specific phytoplankton groups, t is time in day (d), u is the\ninstantaneous phytoplankton growth rate (d-1), g is the grazing mortality\n(d-1), and x represents the dilution factor (Landry and Hassett 1982; Landry\net al. 1984; Neuer and Cowles 1994). M and g are calculated as the y-intercept\nand the slope of the linear regression plotted against the dilution factors\nwhere k=1/t ln (Pt/P0) (Landry & Hassett, 1982; Landry et al. 1984). For the\ntwo-point dilution, this converts mathematically to solving the equations for\nu and g (Landry et al., 2008a).\n \nBulk measurements:  \n Chlorophyll-a was extracted from seawater (250 ml and 400 ml depending on\nthe dilution), with 90% acetone and measured after 24hrs at 4 degrees C in the\ndark onboard the ship using a TD 700 Laboratory Fluorometer using the non-\nacidification technique (Welschmeyer 1994). These data were used as a proxy\nfor the phytoplankton biomass in the water column and to calculate the bulk\ngrowth and grazing rates of the phytoplankton community.
attribute NC_GLOBAL awards_0_award_nid String 55163
attribute NC_GLOBAL awards_0_award_number String OCE-1030476
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward?AWD_ID=1030476&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 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 Protist rates based on epifluorescence counts; \n  cyanobacteria rates based on flow cytometry data; \n  bulk rates based on extracted chlorophyll \n PI: Susanne Neuer (Arizona State U.) \n Version: 16 January 2015
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 2015-01-16T16:30:36Z
attribute NC_GLOBAL date_modified String 2019-08-05T19:37:37Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.545844.1
attribute NC_GLOBAL Easternmost_Easting double -63.48
attribute NC_GLOBAL geospatial_lat_max double 33.5
attribute NC_GLOBAL geospatial_lat_min double 30.05
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -63.48
attribute NC_GLOBAL geospatial_lon_min double -65.8
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 100.0
attribute NC_GLOBAL geospatial_vertical_min double 20.0
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/545844 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Niskin bottle
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Samples were collected using 10-Liter Niskin bottles attached to a CTD rosette.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 545856
attribute NC_GLOBAL instruments_0_description String 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.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Niskin bottle
attribute NC_GLOBAL instruments_0_instrument_nid String 413
attribute NC_GLOBAL instruments_0_supplied_name String Niskin bottle
attribute NC_GLOBAL instruments_1_acronym String TD-700
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Chlorophyll-a was extracted from seawater (250 ml and 400 ml depending on the dilution), with 90% acetone and measured after 24hrs at 4 degrees C in the dark onboard ship using a TD 700 Laboratory Fluorometer using the non-acidification technique (Welschmeyer 1994).
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 545857
attribute NC_GLOBAL instruments_1_description String The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0510/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Turner Designs 700 Laboratory Fluorometer
attribute NC_GLOBAL instruments_1_instrument_nid String 694
attribute NC_GLOBAL instruments_1_supplied_name String TD 700 Laboratory Fluorometer
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, cast, chemical, cruise, cruise_id, data, dataset, date, depth, description, dmo, erddap, experiment, experiment_num, latitude, location_description, longitude, management, num, oceanography, office, preliminary, station, taxon, u
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/545844/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/545844 (external link)
attribute NC_GLOBAL Northernmost_Northing double 33.5
attribute NC_GLOBAL param_mapping String {'545844': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/545844/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String Arizona State University
attribute NC_GLOBAL people_0_affiliation_acronym String ASU
attribute NC_GLOBAL people_0_person_name String Susanne Neuer
attribute NC_GLOBAL people_0_person_nid String 51336
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 Arizona State University
attribute NC_GLOBAL people_1_affiliation_acronym String ASU
attribute NC_GLOBAL people_1_person_name String Francesca De Martini
attribute NC_GLOBAL people_1_person_nid String 51719
attribute NC_GLOBAL people_1_role String Student
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL people_2_affiliation String Arizona State University
attribute NC_GLOBAL people_2_affiliation_acronym String ASU
attribute NC_GLOBAL people_2_person_name String Susanne Neuer
attribute NC_GLOBAL people_2_person_nid String 51336
attribute NC_GLOBAL people_2_role String Contact
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL people_3_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_3_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_3_person_name String Shannon Rauch
attribute NC_GLOBAL people_3_person_nid String 51498
attribute NC_GLOBAL people_3_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL project String Trophic BATS
attribute NC_GLOBAL projects_0_acronym String Trophic BATS
attribute NC_GLOBAL projects_0_description String Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, \"How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone\". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean.\nThis requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea.\nThe investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components.\nCharacterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres.
attribute NC_GLOBAL projects_0_end_date String 2014-09
attribute NC_GLOBAL projects_0_geolocation String Sargasso Sea, BATS site
attribute NC_GLOBAL projects_0_name String Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea
attribute NC_GLOBAL projects_0_project_nid String 2150
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 30.05
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Protist rates from epifluorescence counts; cyanobacteria rates from flow cytometry; bulk rates from extracted chlorophyll-a from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, BATS, 2011-2012.
attribute NC_GLOBAL title String [grazing and growth rates] - Protist rates from epifluorescence counts; cyanobacteria rates from flow cytometry; bulk rates from extracted chlorophyll-a from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, BATS, 2011-2012 (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea \t)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -65.8
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable cruise_id String
attribute cruise_id bcodmo_name String cruise_id
attribute cruise_id description String Official cruise identifier e.g. AE1102 = R/V Atlantic Explorer cruise number 1102.
attribute cruise_id long_name String Cruise Id
attribute cruise_id units String dimensionless
variable cast byte
attribute cast _FillValue byte 127
attribute cast actual_range byte 2, 38
attribute cast bcodmo_name String cast
attribute cast description String Cast number.
attribute cast long_name String Cast
attribute cast units String dimensionless
variable station byte
attribute station _FillValue byte 127
attribute station actual_range byte 1, 6
attribute station bcodmo_name String station
attribute station description String Station number.
attribute station long_name String Station
attribute station units String dimensionless
variable location_description String
attribute location_description bcodmo_name String site_descrip
attribute location_description description String Description of sampling location.
attribute location_description long_name String Location Description
attribute location_description units String dimensionless
variable experiment_num byte
attribute experiment_num _FillValue byte 127
attribute experiment_num actual_range byte 1, 19
attribute experiment_num bcodmo_name String unknown
attribute experiment_num description String Experiment number.
attribute experiment_num long_name String Experiment Num
attribute experiment_num units String dimensionless
variable date String
attribute date bcodmo_name String date
attribute date description String 2-digit month, 2-digit day, and 4-digit year of sampling. Reported in UTC. Format: mmddYYYY
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 latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 30.05, 33.5
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. Positive values = North.
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 -65.8, -63.48
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. Positive values = East.
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 taxon String
attribute taxon bcodmo_name String taxon
attribute taxon description String Name of the taxonomic group.
attribute taxon long_name String Taxon
attribute taxon units String dimensionless
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 20.0, 100.0
attribute depth axis String Z
attribute depth bcodmo_name String depth
attribute depth colorBarMaximum double 8000.0
attribute depth colorBarMinimum double -8000.0
attribute depth colorBarPalette String TopographyDepth
attribute depth description String Sample depth.
attribute depth ioos_category String Location
attribute depth long_name String Depth
attribute depth nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable u float
attribute u _FillValue float NaN
attribute u actual_range float -3.52, 11.46
attribute u bcodmo_name String growth
attribute u description String Instantaneous growth rate (mu).
attribute u long_name String U
attribute u units String per day
variable g float
attribute g _FillValue float NaN
attribute g actual_range float 0.0, 11.17
attribute g bcodmo_name String unknown
attribute g description String Grazing mortality; absolute values.
attribute g long_name String G
attribute g units String per day

 
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