ERDDAP > info > bcodmo_dataset_748415

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	Bacterial cell counts during CDOM monoculture experiment		I   M	background			BCO-DMO	bcodmo_dataset_748415

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
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 during CDOM monoculture experiment
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.