ERDDAP > info > bcodmo_dataset_545844

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	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		I   M	background			BCO-DMO	bcodmo_dataset_545844

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	Water Column Sampling: Water column sampling was performed on four cruises during the spring and the summer of 2011 and 2012 at the Bermuda Atlantic Time-series Study station (31\u201940\u00b0N 64\u201910\u00b0W, BATS) and in the mesoscale eddies found in the surrounding area of the Sargasso Sea. For each cruise, two stations were sampled, usually in the center of a mesoscale eddy and at BATS. The edge of the eddy was sampled two times, as well. To be able to get a better reproducibility of data, each experiment was replicated. For each experiment, seawater samples were collected pre-dawn (on deck 2:30-4:00, local time) at four different depths within the euphotic zone (20m, 50m, 80m and the Deep Chlorophyll Maximum, DCM). Twenty-one 10L Niskin bottles were attached to a rosette with conductivity, temperature, depth sensors (CTD), and an in vivo fluorometer. This sensor allowed for recording in real time of chlorophyll fluorescence and the DCM for each station. The water that was collected from the 10L Niskin bottles was sampled for abundance and biomass of the plankton community. Dilution experiments: The growth and grazing rates of the phytoplankton community were determined using the dilution method with a two-point modification (Landry et al. 1984, Landry et al. 2008a, Selph et al. 2011). To check the applicability and resolution of the two point modification, two experiments at two different stations (one replicate of C3 and one replicate of B3) were carried out with a complete set of dilutions (25, 50, 75 and 100%) on-deck; the results of these experiments confirmed the validity of the 2 point dilution experiment (data not shown). The Landry-Hassett dilution method was used because it can separate autotrophic and heterotrophic processes with relatively little manipulation (Landry & Hassett, 1982, Landry et al 1984). The method is based on the concept that the dilution lowers the encounter probability of grazer and prey and enables one to calculate from the net phytoplankton population growth (k) in the diluted and undiluted incubation bottles the instantaneous growth rate (u) and grazing mortality (g), where k= u - g (Landry & Hassett, 1982). This method is based on three assumptions. \u00a0The first one is that the instantaneous growth rate of any phytoplankton group is not influenced by the dilution of the \u201cseawater/sample\u201d with particle free water. The second assumption is that the probability of a phytoplankton to be grazed by the consumer is directly related to the abundance of the consumer itself, which means that with a higher density of grazers the probability of the prey to be grazed is higher as well, making the grazing a function of the dilution. The third assumption is the sum of the first two assumptions, that the change in the abundance of the phytoplankton community over time can be expressed by the exponential growth equation: Pt=P0 e ^ [(u -xg)t] where P0 and Pt \u00a0are the initial and the final abundances or biomass of bulk or specific phytoplankton groups, t is time in day (d), u is the instantaneous phytoplankton growth rate (d-1), g is the grazing mortality (d-1), and x represents the dilution factor (Landry and Hassett 1982; Landry et al. 1984; Neuer and Cowles 1994). M and g are calculated as the y-intercept and the slope of the linear regression plotted against the dilution factors where k=1/t ln (Pt/P0) (Landry & Hassett, 1982; Landry et al. 1984). For the two-point dilution, this converts mathematically to solving the equations for u and g (Landry et al., 2008a). Bulk measurements: 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 the ship using a TD 700 Laboratory Fluorometer using the non- acidification technique (Welschmeyer 1994). These data were used as a proxy for the phytoplankton biomass in the water column and to calculate the bulk growth 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
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; cyanobacteria rates based on flow cytometry data; bulk rates based on extracted chlorophyll PI: Susanne Neuer (Arizona State U.) 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/
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
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/
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/
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
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/545844
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
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. This 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. The 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. Characterizing 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	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	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/
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/
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/
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/
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

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.