ERDDAP > info > bcodmo_dataset_771421

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
	set	data	graph		files	public	[Series 3A: cell abundance] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) – cell abundance by flow cytometry (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)		I   M	background			BCO-DMO	bcodmo_dataset_771421

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	Three CO2 concentrations were tested: 410 ppm, 750 ppm, and 1000 ppm respectively. For each CO2 concentration, four temperatures were tested: 15 degrees-C, 20 degrees-C, 25 degrees-C, and 30 degrees-C. Within each temperature, three light levels were tested: a sub-optimum light (SOL) intensity of 60 umol photons \u00b7 m-2 \u00b7 s-1, an optimum light (OL) intensity of 400 umol photons \u00b7 m-2 \u00b7 s-1 and an extreme light (EL) intensity of 800 umol photons \u00b7 m-2 \u00b7 s-1. All lights were set at a 12 h day: 12 h dark cycle. For logistical reasons, experiments were partially conducted in series, with all light treatments at two temperatures (either 15 degrees-C and 25 degrees-C or 20 degrees-C and 30 degrees-C) running simultaneously. This was repeated for each CO2 concentration. Experiments were conducted in Multicultivator MC-1000 OD units (Photon Systems Instruments, Drasov, Czech Republic). Each unit consists of eight 85 ml test- tubes immersed in a thermostated water bath, each independently illuminated by an array of cool white LEDs set at specific intensity and timing. A 0.2um filtered CO2-air mix (Praxair Distribution Inc.) was bubbled through sterile artificial seawater, and the humidified gas mix was supplied to each tube via gentle sparging through a 2um stainless steel diffuser. Flow rates were gradually increased over the course of the incubation to compensate for the DIC uptake of actively growing cells, and ranged from <0.04 Liters per minute (LPM) at the start of the incubations to 0.08 LPM in each tube after 2 days. For each CO2 and temperature level, replication was achieved by incubating three tubes at sub-optimum light intensities, two tubes at optimum light intensity, and three tubes at extreme light intensities. Each experiment was split into two phases: An acclimation phase spanning 4 days, was used to acclimate cultures to their new environment. Pre-acclimated, exponentially- growing cultures were then inoculated into fresh media and incubated through a 3-day experimental phase during which assessments of growth, photophysiology, and nutrient cycling were carried out daily. All sampling started 5 hours into the daily light cycle to minimize the effects of diurnal cycles. Experiments were conducted with artificial seawater (ASW) prepared using previously described methods (Kester et. al 1967), and enriched with nitrate (NO3), phosphate (PO4), silicic acid (Si[OH]4), at levels ensuring that the cultures would remain nutrient-replete over the course of the experiment. Trace metals and vitamins were added as in f/2 (Guillard 1975). The expected DIC concentration and pH of the growth media was determined for the different pCO2 and temperatures using the CO2SYS calculator (Pierrot et al. 2006), with constants from Mehrbach et al. (1973, refit by Dickson & Millero 1987), and inputs of temperature, salinity, total alkalinity (2376.5 umol \u00b7 kg-1), pCO2, phosphate, and silicic acid. DIC levels in ASW at the start of each phase of the experiments were manipulated by the addition of NaHCO3, and was then maintained by bubbling a CO2-Air mix through the cultures over the course of the experiments. The pH of the growth media was measured spectrophometrically using the m-cresol purple method (Dickson 1993), and adjusted using 0.1N HCl or 0.1M NaOH. The media was distributed into 75 ml aliquots and each aliquot was inoculated with 5 ml of the T. pseudonana CCMP 1014 (TP1014) stock culture at the start of the experiments. Flow cytometry: Samples were fixed in Hexamethylenetetramine-buffered formaldehyde (final concentration 1% v/v) and stored at 4 degrees C in the dark for a maximum of 4 days. Cell counts were confirmed to be unaffected over storage for up to a week. Samples were analyzed on a Guava easyCyte HT Benchtop Flow Cytometer (Millipore-Sigma, USA). All data acquisitions were done with logarithmic signal amplification. Cytometer sample flow rates were kept low (0.24 uL \u00b7 s-1) to accommodate high cell concentrations. Diatoms were identified based on size and chlorophyll autofluorescence using the forward scatter channel (FSC) and Red-FL (695/50 nm) channel respectively. Growth rates were derived by fitting an exponential curve to cell concentrations vs. time for a 48-hour period during which cells exhibited exponential growth in the experimental phase. Growth rates in treatments where cells did not grow, or declined in abundance were listed as 0. Particle sizes (equivalent spherical diameter in \u00b5m, ESD) were derived from FSC using size-calibration beads of known diameters ranging from 2 \u00b5m to 10 um (Particle Size standard kit, Spherotech Inc.).
attribute	NC_GLOBAL	awards_0_award_nid	String	654346
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1538602
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538602
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	Michael E. Sieracki
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Series 3A-2: Multiple stressor experiments on T. pseudonana (CCMP1014): cell abundance PI: U. Passow, N. D'Souza (UCSB), E. Laws (LSU) version date: 2019-06-17
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	2019-06-19T20:45:04Z
attribute	NC_GLOBAL	date_modified	String	2020-06-29T12:53:35Z
attribute	NC_GLOBAL	defaultDataQuery	String	&amp;time&lt;now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.771421.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/771421
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 measure abundance and forward scatter (proxy for cell size).
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	771433
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	Guava easyCyte HT Benchtop Flow Cytometer (Millipore-Sigma, USA)
attribute	NC_GLOBAL	instruments_1_acronym	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Used to measure pH.
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	771432
attribute	NC_GLOBAL	instruments_1_description	String	An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Spectrophotometer
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	707
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Genesys 10SVIS spectrophotometer
attribute	NC_GLOBAL	instruments_2_dataset_instrument_description	String	Used for incubation of TP1014 cultures.
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	771429
attribute	NC_GLOBAL	instruments_2_description	String	An instrument used for the purpose of culturing small cells such as algae or bacteria. May provide temperature and light control and bubbled gas introduction.
attribute	NC_GLOBAL	instruments_2_instrument_name	String	Cell Cultivator
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	714540
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Multicultivator MC-1000 OD (Qubit Systems)
attribute	NC_GLOBAL	keywords	String	abund, bco, bco-dmo, biological, carbon, carbon dioxide, chemical, co2, data, dataset, day, dioxide, dmo, EL_A_abund, EL_B_abund, EL_C_abund, erddap, management, oceanography, office, OL_A_abund, OL_B_abund, phase, preliminary, replicate, sol, SOL_A_abund, SOL_B_abund, SOL_C_abund, temperature
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/771421/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/771421
attribute	NC_GLOBAL	param_mapping	String	{'771421': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/771421/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	UCSB-MSI
attribute	NC_GLOBAL	people_0_person_name	String	Uta Passow
attribute	NC_GLOBAL	people_0_person_nid	String	51317
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	Louisiana State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	LSU-SC&E
attribute	NC_GLOBAL	people_1_person_name	String	Dr Edward Laws
attribute	NC_GLOBAL	people_1_person_nid	String	50767
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	University of California-Santa Barbara
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	UCSB-MSI
attribute	NC_GLOBAL	people_2_person_name	String	Nigel D'Souza
attribute	NC_GLOBAL	people_2_person_nid	String	748936
attribute	NC_GLOBAL	people_2_role	String	Scientist
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	University of California-Santa Barbara
attribute	NC_GLOBAL	people_3_affiliation_acronym	String	UCSB-MSI
attribute	NC_GLOBAL	people_3_person_name	String	Nigel D'Souza
attribute	NC_GLOBAL	people_3_person_nid	String	748936
attribute	NC_GLOBAL	people_3_role	String	Contact
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	people_4_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_4_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_4_person_nid	String	50396
attribute	NC_GLOBAL	people_4_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_4_role_type	String	related
attribute	NC_GLOBAL	project	String	Stressors on Marine Phytoplankton
attribute	NC_GLOBAL	projects_0_acronym	String	Stressors on Marine Phytoplankton
attribute	NC_GLOBAL	projects_0_description	String	The overarching goal of this project is to develop a framework for understanding the response of phytoplankton to multiple environmental stresses. Marine phytoplankton, which are tiny algae, produce as much oxygen as terrestrial plants and provide food, directly or indirectly, to all marine animals. Their productivity is thus important both for global elemental cycles of oxygen and carbon, as well as for the productivity of the ocean. Globally the productivity of marine phytoplankton appears to be changing, but while we have some understanding of the response of phytoplankton to shifts in one environmental parameter at a time, like temperature, there is very little knowledge of their response to simultaneous changes in several parameters. Increased atmospheric carbon dioxide concentrations result in both ocean acidification and increased surface water temperatures. The latter in turn leads to greater ocean stratification and associated changes in light exposure and nutrient availability for the plankton. Recently it has become apparent that the response of phytoplankton to simultaneous changes in these growth parameters is not additive. For example, the effect of ocean acidification may be severe at one temperature-light combination and negligible at another. The researchers of this project will carry out experiments that will provide a theoretical understanding of the relevant interactions so that the impact of climate change on marine phytoplankton can be predicted in an informed way. This project will engage high schools students through training of a teacher and the development of a teaching unit. Undergraduate and graduate students will work directly on the research. A cartoon journalist will create a cartoon story on the research results to translate the findings to a broader general public audience. Each phytoplankton species has the capability to acclimatize to changes in temperature, light, pCO2, and nutrient availability - at least within a finite range. However, the response of phytoplankton to multiple simultaneous stressors is frequently complex, because the effects on physiological responses are interactive. To date, no datasets exist for even a single species that could fully test the assumptions and implications of existing models of phytoplankton acclimation to multiple environmental stressors. The investigators will combine modeling analysis with laboratory experiments to investigate the combined influences of changes in pCO2, temperature, light, and nitrate availability on phytoplankton growth using cultures of open ocean and coastal diatom strains (Thalassiosira pseudonana) and an open ocean cyanobacteria species (Synechococcus sp.). The planned experiments represent ideal case studies of the complex and interactive effects of environmental conditions on organisms, and results will provide the basis for predictive modeling of the response of phytoplankton taxa to multiple environmental stresses.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-09
attribute	NC_GLOBAL	projects_0_name	String	Collaborative Research: Effects of multiple stressors on Marine Phytoplankton
attribute	NC_GLOBAL	projects_0_project_nid	String	654347
attribute	NC_GLOBAL	projects_0_start_date	String	2015-10
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	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	subsetVariables	String	Phase,Replicate
attribute	NC_GLOBAL	summary	String	The experiments were designed to test the combined effects of three CO2 concentrations, four temperatures, and three light intensities on growth of the diatom T. pseudonana CCMP1014 in a multifactorial design. This dataset contains measurements of cell abundances measured by forward scatter.
attribute	NC_GLOBAL	title	String	[Series 3A: cell abundance] - Series 3A: Multiple stressor experiments on T. pseudonana (CCMP1014) – cell abundance by flow cytometry (Collaborative Research: Effects of multiple stressors on Marine Phytoplankton)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	Phase		String
attribute	Phase	bcodmo_name	String	sample_descrip
attribute	Phase	description	String	Indicates whether the sample was collected during the acclimation phase or the experiment phase of the experiment.
attribute	Phase	long_name	String	Phase
attribute	Phase	units	String	unitless
variable	CO2		short
attribute	CO2	_FillValue	short	32767
attribute	CO2	actual_range	short	410, 1000
attribute	CO2	bcodmo_name	String	pCO2
attribute	CO2	description	String	Indicates the concentration of CO2 in the CO2-Air mix that was bubbled through the samples over the course of the experiment
attribute	CO2	long_name	String	CO2
attribute	CO2	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/
attribute	CO2	units	String	parts per million (ppm)
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	15, 30
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Indicates the temperature at which the samples were incubated.
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	Temperature	units	String	degrees Celsius
variable	Day		String
attribute	Day	bcodmo_name	String	days
attribute	Day	description	String	Indicates the timepoint (day) of sampling. D0 = day 0; D1 = day 1; etc.
attribute	Day	long_name	String	Day
attribute	Day	units	String	unitless
variable	Replicate		String
attribute	Replicate	bcodmo_name	String	replicate
attribute	Replicate	description	String	Indicates replication within a treatment. "NA" indicates "not applicable"
attribute	Replicate	long_name	String	Replicate
attribute	Replicate	units	String	unitless
variable	SOL_A_abund		int
attribute	SOL_A_abund	_FillValue	int	2147483647
attribute	SOL_A_abund	actual_range	int	3070, 308037
attribute	SOL_A_abund	bcodmo_name	String	abundance
attribute	SOL_A_abund	description	String	Cell abundance in replicate A incubated at sub optimum light (SOL)
attribute	SOL_A_abund	long_name	String	SOL A Abund
attribute	SOL_A_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	SOL_A_abund	units	String	cells/milliliter
variable	SOL_B_abund		int
attribute	SOL_B_abund	_FillValue	int	2147483647
attribute	SOL_B_abund	actual_range	int	4978, 231584
attribute	SOL_B_abund	bcodmo_name	String	abundance
attribute	SOL_B_abund	description	String	Cell abundance in replicate B incubated at sub optimum light (SOL)
attribute	SOL_B_abund	long_name	String	SOL B Abund
attribute	SOL_B_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	SOL_B_abund	units	String	cells/milliliter
variable	SOL_C_abund		int
attribute	SOL_C_abund	_FillValue	int	2147483647
attribute	SOL_C_abund	actual_range	int	4719, 267549
attribute	SOL_C_abund	bcodmo_name	String	abundance
attribute	SOL_C_abund	description	String	Cell abundance in replicate C incubated at sub optimum light (SOL)
attribute	SOL_C_abund	long_name	String	SOL C Abund
attribute	SOL_C_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	SOL_C_abund	units	String	cells/milliliter
variable	OL_A_abund		int
attribute	OL_A_abund	_FillValue	int	2147483647
attribute	OL_A_abund	actual_range	int	24014, 2907077
attribute	OL_A_abund	bcodmo_name	String	abundance
attribute	OL_A_abund	description	String	Cell abundance in replicate A incubated at optimum light (OL)
attribute	OL_A_abund	long_name	String	OL A Abund
attribute	OL_A_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	OL_A_abund	units	String	cells/milliliter
variable	OL_B_abund		int
attribute	OL_B_abund	_FillValue	int	2147483647
attribute	OL_B_abund	actual_range	int	26149, 2645518
attribute	OL_B_abund	bcodmo_name	String	abundance
attribute	OL_B_abund	description	String	Cell abundance in replicate B incubated at optimum light (OL)
attribute	OL_B_abund	long_name	String	OL B Abund
attribute	OL_B_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	OL_B_abund	units	String	cells/milliliter
variable	EL_A_abund		int
attribute	EL_A_abund	_FillValue	int	2147483647
attribute	EL_A_abund	actual_range	int	34603, 2728738
attribute	EL_A_abund	bcodmo_name	String	abundance
attribute	EL_A_abund	description	String	Cell abundance in replicate A incubated at extreme light (EL)
attribute	EL_A_abund	long_name	String	EL A Abund
attribute	EL_A_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	EL_A_abund	units	String	cells/milliliter
variable	EL_B_abund		int
attribute	EL_B_abund	_FillValue	int	2147483647
attribute	EL_B_abund	actual_range	int	33857, 2643524
attribute	EL_B_abund	bcodmo_name	String	abundance
attribute	EL_B_abund	description	String	Cell abundance in replicate B incubated at extreme light (EL)
attribute	EL_B_abund	long_name	String	EL B Abund
attribute	EL_B_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	EL_B_abund	units	String	cells/milliliter
variable	EL_C_abund		String
attribute	EL_C_abund	bcodmo_name	String	abundance
attribute	EL_C_abund	description	String	Cell abundance in replicate C incubated at extreme light (EL)
attribute	EL_C_abund	long_name	String	EL C Abund
attribute	EL_C_abund	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P03/current/B070/
attribute	EL_C_abund	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.