ERDDAP > info > bcodmo_dataset_543808

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 mail	Institution	Dataset ID
		data	graph		files	public	[MO - virioplankton abundance] - Virioplankton abundance from multiple cruises at the Bermuda AtlanticTime Series Station (BATS), Western Sargasso Sea from 2000-2011 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)		F   I   M	background			BCO-DMO	bcodmo_dataset_543808

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	Methodology:\u00a0from\u00a0Parsons et al (2011): Study site and sample collection: Samples were collected aboard the\u00a0RV Weatherbird II\u00a0or the\u00a0RV Atlantic Explorer\u00a0at the BATS site (31\u00b0 40\u2032 N, 64\u00b010\u2032 W). All cruises were conducted as part of the larger BATS program and sampled at least monthly with biweekly sampling between February and April. This sampling strategy has been successful in revealing the major temporal microbial and biogeochemical patterns at this site (Carlson and Ducklow, 1996;\u00a0Steinberg et al., 2001;\u00a0Morris et al., 2005;\u00a0Carlson et al., 2009;\u00a0Treusch et al., 2009;\u00a0Lomas et al., 2010). A broader assessment of the BATS biogeochemical data is presented in\u00a0Deep Sea Research II\u00a0in 1996 (volume 43, issues 2\u20133) and 2001 (volume 48, issues 8\u20139). Samples for virioplankton (0, 20, 40, 60, 80, 100, 140, 160, 200, 250 and 300\u2009m) and bacterioplankton (0, 10, 20, 40, 60, 80, 100, 120, 140, 160, 200, 250 and 300\u2009m) were collected at the BATS site from January 2000 to December 2009 via conductivity, temperature, depth profiling rosette equipped with 12\u2009l Niskin bottles. The 120\u2009m virioplankton sample was added after October 2007. Throughout the entire time-series, all virioplankton samples were fixed with 0.02\u2009um filtered formalin (1% final concentration), placed in 5\u2009ml cryovials and flash frozen in liquid nitrogen (Wen et al., 2004) until processing (within 12 weeks of collection). Samples for bacterioplankton abundance were fixed with 0.2\u2009um filtered gluteraldehyde (1% final concentration) and stored at either 4\u2009\u00b0C for 72\u2009h or flash frozen and subsequently stored at \u221280\u2009\u00b0C for up to 6 months until processing as described in\u00a0Steinberg et al (2001). Storage tests demonstrated no appreciable loss of virioplankton or bacterioplankton abundance when stored in liquid nitrogen for periods up to 6 months (unpublished data). Picophytoplankton samples were collected at the same depths through 250\u2009m from October 2001 to December 2009 (Casey et al., 2007). Samples for fluorescence\u00a0in situ\u00a0hybridization (FISH) of specific heterotrophic bacterioplankton lineages were collected from the upper 300\u2009m from January 2003 to December 2005 (Carlson et al., 2009). Biogeochemical and physical data collected at the BATS site are available at\u00a0[http://bats.bios.edu](\\"http://bats.bios.edu\\"). The MLD was determined as the depth where potential density (sigma-t) of the water was equal to sea surface sigma-t\u00a0plus the equivalent in sigma-t\u00a0to a 0.2\u2009\u00b0C decrease in temperature (Sprintall and Tomczak, 1992). Contour plots were created in Ocean Data View (R Schlitzer,\u00a0[https://odv.awi.de/](\\"https://odv.awi.de/\\")) with VG Gridding and linear mapping adjusted to the median of each data set. Statistics (Pearson's correlation and two-tailed Student's\u00a0t-test for unequal variances), ratios and percent contributions were determined using Microsoft Excel. Virioplankton abundance: Virioplankton abundance was enumerated according to the methods of\u00a0Noble and Fuhrman (1998). Briefly, water samples were filtered on to 0.02\u2009um Anodisc aluminum oxide filters (Whatman, Kent, UK), stained with SYBR Green I (Molecular Probes Inc., Eugene, OR, USA), and enumerated via epifluorescence microscopy using an Olympus AX70 microscope (Olympus, Tokyo, Japan) equipped with a Toshiba CCD video camera (Irvine, CA, USA) and Pro- series Capture Kit version 4.5 (I-CUBE, Crofton, MD, USA). Ten images from each sample were processed with scripts written in Image Pro Plus (Media Cybernetics, Bethesda, MD, USA) for particles sized 0.01\u20130.27\u2009um2, using the clean borders function (cells touching the edge of the image or grid were omitted). We consider these estimates of viral abundance conservative because it is possible that some viral particles less than one pixel were omitted from the final count. We performed pairwise comparisons of automated versus manual enumeration of virioplankton abundance to determine any discrepancies between the two approaches. Samples collected along a gradient from offshore (BATS;\u00a0n=92) to onshore waters of Bermuda (n=32) were highly correlated with automated counts being slightly greater than manual counts (slope=1.07,\u00a0r=0.99,\u00a0n=134). The lower estimates of viral abundance from manual counts may have resulted from image fading during enumeration and/or operator fatigue. We argue that for this study, the automated image analysis was the most reliable approach for viral particle enumeration. The coefficient of variation for the automated counts averaged 11% (n=1517).
attribute	NC_GLOBAL	awards_0_award_nid	String	514363
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-0802004
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward?AWD_ID=0802004
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	Virioplankton abundance at BATS site, 2000-2011 C. Carlson (UC-SB) version: 2020-05-04
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	dataset_current_state	String	Final and no updates
attribute	NC_GLOBAL	date_created	String	2014-12-23T18:13:37Z
attribute	NC_GLOBAL	date_modified	String	2020-05-11T19:09:23Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.543808.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-63.988
attribute	NC_GLOBAL	geospatial_lat_max	double	31.81
attribute	NC_GLOBAL	geospatial_lat_min	double	31.352
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-63.988
attribute	NC_GLOBAL	geospatial_lon_min	double	-64.312
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	geospatial_vertical_max	double	502.375
attribute	NC_GLOBAL	geospatial_vertical_min	double	0.9
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/543808
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	12 liter Niskin bottles
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	543815
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	CTD
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	543816
attribute	NC_GLOBAL	instruments_1_description	String	The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This instrument designation is used when specific make and model are not known.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/130/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	CTD profiler
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	417
attribute	NC_GLOBAL	instruments_1_supplied_name	String	CTD
attribute	NC_GLOBAL	instruments_2_acronym	String	Fluorescence Microscope
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Olympus AX70 microscope (Olympus, Tokyo, Japan) equipped with a Toshiba CCD video camera (Irvine, CA, USA)
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	543818
attribute	NC_GLOBAL	instruments_2_description	String	A Fluorescence (or Epifluorescence) Microscope Image Analysis System uses semi-automated color image analysis to determine cell abundance, dimensions and biovolumes from an Epifluorescence Microscope. An Epifluorescence Microscope (conventional and inverted) includes a camera system that generates enlarged images of prepared samples. The microscope uses excitation ultraviolet light and the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light.
attribute	NC_GLOBAL	instruments_2_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB06/
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Fluorescence Microscope Image Analysis System
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	508
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Epifluorescence Microscope
attribute	NC_GLOBAL	instruments_3_acronym	String	Flow Cytometer
attribute	NC_GLOBAL	instruments_3_dataset_instrument_description	String	Becton Dickenson (Franklin Lakes, NJ, USA; formerly Cytopeia) high speed jet-in-air InFlux flow cytometer, using a 488 nm blue excitation laser, appropriate Chl-a (692±20 nm) and phycoerythrin (580±15 nm) bandpass filters.
attribute	NC_GLOBAL	instruments_3_dataset_instrument_nid	String	543819
attribute	NC_GLOBAL	instruments_3_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_3_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB37/
attribute	NC_GLOBAL	instruments_3_instrument_name	String	Flow Cytometer
attribute	NC_GLOBAL	instruments_3_instrument_nid	String	660
attribute	NC_GLOBAL	instruments_3_supplied_name	String	Flow Cytometer
attribute	NC_GLOBAL	keywords	String	abund, abund_vir, abund_vir_sd, bco, bco-dmo, biological, chemical, cruise, cruise_ID, data, dataset, date, date_in, decyear, depth, depth_mixed, depth_nom, dmo, erddap, latitude, longitude, management, oceanography, office, preliminary, station, vir
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/543808/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/543808
attribute	NC_GLOBAL	Northernmost_Northing	double	31.81
attribute	NC_GLOBAL	param_mapping	String	{'543808': {'lat_in': 'master - latitude', 'depth': 'master - depth', 'lon_in': 'master - longitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/543808/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UCSB
attribute	NC_GLOBAL	people_0_person_name	String	Craig Carlson
attribute	NC_GLOBAL	people_0_person_nid	String	50575
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	Oregon State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	OSU
attribute	NC_GLOBAL	people_1_person_name	String	Dr Stephen Giovannoni
attribute	NC_GLOBAL	people_1_person_nid	String	514364
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_2_person_nid	String	50396
attribute	NC_GLOBAL	people_2_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	project	String	Ocean Microbial Observatory
attribute	NC_GLOBAL	projects_0_acronym	String	Ocean Microbial Observatory
attribute	NC_GLOBAL	projects_0_description	String	(Adapted from the NSF award abstract) The premise of this project is that stratified bacterioplankton clades engage in specialized biogeochemical activities that can be identified by integrated oceanographic and microbiological approaches. Specifically, the objective of this project is to assess if the mesopelagic microbial community rely on diagenetically altered organic matter and subcellular fragments that are produced by microbial processes in the euphotic zone and delivered into the upper mesopelagic by sinking or mixing. In past efforts this microbial observatory had greater success cultivating members of the euphotic zone microbial community, and revealed an unanticipated growth requirement for reduced sulfur compounds in alphaproteobacteria of the SAR11 clade. Genomic information showed that intense competition for substrates imposes trade-offs on bacterioplankton - there are regions of N dimensional nutrient space where specialists win. We postulate that specific growth requirements may explain some the regular spatial and temporal patterns that have been observed in upper mesopelagic bacterioplankton communities, and the difficulties of culturing some of these organisms. The specific objectives of this project are: 1) to produce 13C and 15N labeled subcellular (e.g., soluble, cell wall, and membrane) and DOM fractions from photosynthetic plankton cultures and use stable isotope probing to identify specific clades in the surface and upper mesopelagic microbial community that assimilate fractions of varying composition and lability. 2) to use fluorescence in situ hybridization approaches to monitor temporal and spatial variability of specific microbial populations identified from the SIP and HTC experiments. To increase resolution we will use CARD-FISH protocols. 3) to measure the proteomes of bacterioplankton communities to identify highly translated genes in the surface layer and upper mesopelagic, and community responses to seasonal nutrient limitation. 4) and, to cultivate these organisms via high throughput culturing (HTC) by pursuing the hypothesis that they require specific nutrient factors and/or diagenetically altered organic substrates. Complete genome sequences from key organisms will be sought and used as queries to study patterns of natural variation in genes and populations that have been associated with biogeochemically important functions.
attribute	NC_GLOBAL	projects_0_end_date	String	2014-07
attribute	NC_GLOBAL	projects_0_geolocation	String	Bermuda Atlantic Time-Series study site
attribute	NC_GLOBAL	projects_0_name	String	Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory
attribute	NC_GLOBAL	projects_0_project_nid	String	514365
attribute	NC_GLOBAL	projects_0_project_website	String	http://www.bios.edu/research/projects/oceanic-microbial-observatory/
attribute	NC_GLOBAL	projects_0_start_date	String	2008-08
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	31.352
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Virioplankton abundances were measured from samples collected from January 2000 to December 2011 at the Bermuda Atlantic Time Series Station (BATS), Western Sargasso Sea, as part of the larger BATS program aboard the R/V Weatherbird II or the R/V Atlantic Explorer. Supporting data provided by the BATS time-series program and are available at (http://bats.bios.edu/).
attribute	NC_GLOBAL	title	String	[MO - virioplankton abundance] - Virioplankton abundance from multiple cruises at the Bermuda AtlanticTime Series Station (BATS), Western Sargasso Sea from 2000-2011 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	-64.312
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	station		String
attribute	station	bcodmo_name	String	station
attribute	station	description	String	BATS cruise number during which sample was collected
attribute	station	long_name	String	Station
attribute	station	units	String	unitless
variable	cruise_ID		int
attribute	cruise_ID	_FillValue	int	2147483647
attribute	cruise_ID	actual_range	int	101360101, 2026700416
attribute	cruise_ID	bcodmo_name	String	cruise_id
attribute	cruise_ID	description	String	BATS cruise ID for the sample that matches the BATS sample collected from the same niskin
attribute	cruise_ID	long_name	String	Cruise ID
attribute	cruise_ID	units	String	unitless
variable	date_in		String
attribute	date_in	bcodmo_name	String	date
attribute	date_in	description	String	date of collection at the time of CTD entry year month day
attribute	date_in	long_name	String	Date In
attribute	date_in	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	date_in	units	String	unitless
variable	decyear		double
attribute	decyear	_FillValue	double	NaN
attribute	decyear	actual_range	double	2000.0761, 2011.93973
attribute	decyear	bcodmo_name	String	year_decimal
attribute	decyear	description	String	decimal year
attribute	decyear	long_name	String	Decyear
attribute	decyear	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	31.352, 31.81
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 at the time of CTD entry in degrees N
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	source_name	String	lat_in
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	-64.312, -63.988
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 at the time of CTD entry in degrees W
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	source_name	String	lon_in
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	depth		double
attribute	depth	_CoordinateAxisType	String	Height
attribute	depth	_CoordinateZisPositive	String	down
attribute	depth	_FillValue	double	NaN
attribute	depth	actual_range	double	0.9, 502.375
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	the actual depth in meters
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	depth_nom		short
attribute	depth_nom	_FillValue	short	32767
attribute	depth_nom	actual_range	short	1, 400
attribute	depth_nom	bcodmo_name	String	depth_n
attribute	depth_nom	colorBarMaximum	double	8000.0
attribute	depth_nom	colorBarMinimum	double	-8000.0
attribute	depth_nom	colorBarPalette	String	TopographyDepth
attribute	depth_nom	description	String	bottle target depths in meters
attribute	depth_nom	long_name	String	Depth
attribute	depth_nom	standard_name	String	depth
attribute	depth_nom	units	String	meters
variable	depth_mixed		short
attribute	depth_mixed	_FillValue	short	32767
attribute	depth_mixed	actual_range	short	8, 248
attribute	depth_mixed	bcodmo_name	String	depth_mixed_layer
attribute	depth_mixed	colorBarMaximum	double	8000.0
attribute	depth_mixed	colorBarMinimum	double	-8000.0
attribute	depth_mixed	colorBarPalette	String	TopographyDepth
attribute	depth_mixed	description	String	mixed layer depth in meters; MLD was determined as the depth where potential density (sigma-t) of the water was equal to sea surface sigma-t plus the equivalent in sigma-t to a 0.2 1C decrease in temperature (Sprintall and Tomczak 1992).
attribute	depth_mixed	long_name	String	Depth
attribute	depth_mixed	standard_name	String	depth
attribute	depth_mixed	units	String	meters
variable	abund_vir		float
attribute	abund_vir	_FillValue	float	NaN
attribute	abund_vir	actual_range	float	0.14, 11.703
attribute	abund_vir	bcodmo_name	String	cell_concentration
attribute	abund_vir	description	String	Virioplankton abundance 10^9 cells per liter
attribute	abund_vir	long_name	String	Abund Vir
attribute	abund_vir	units	String	10^9 cells per liter
variable	abund_vir_sd		float
attribute	abund_vir_sd	_FillValue	float	NaN
attribute	abund_vir_sd	actual_range	float	0.014, 5.308
attribute	abund_vir_sd	bcodmo_name	String	cell_concentration
attribute	abund_vir_sd	colorBarMaximum	double	50.0
attribute	abund_vir_sd	colorBarMinimum	double	0.0
attribute	abund_vir_sd	description	String	standard deviation for Virioplankton Abundance in 10^9 cells per liter
attribute	abund_vir_sd	long_name	String	Abund Vir Sd
attribute	abund_vir_sd	units	String	10^9 cells per liter

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.