ERDDAP > info > bcodmo_dataset_782911

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	[Ehux growth rates for thermal response curve] - Growth rates for Emiliania huxleyi thermal response curve across 12 temperatures from 8.5-28.6C (How does intensity and frequency of environmental variability affect phytoplankton growth?)		I   M	background			BCO-DMO	bcodmo_dataset_782911

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	Specific growth rates were calculated using change in fluorescence over time (verified using cell count data) and the equation \u03bc=ln[N(T2)/N(T1)]/(T2-T1). N(T1) and N(T2) are the in vivo fluorescence values.\u00a0Chlorophyll a, total particulate carbon (TPC), particulate organic carbon (POC),\u00a0 particulate organic nitrogen (PON), and particulate organic carbon (POP) were filtered onto GF/F filters and analyzed following the methodology used in Fu et al., 2007. Particulate inorganic carbon was defined as the difference between TPC and POC after POC filters had been subjected to concentrated HCl fumes for 24 hours to remove all inorganic carbon. Calcification, photosynthesis, and carbon fixation rates were all measured following the procedures outlined in Feng et al., 2008. All data was processed using either R (v 3.4.4) or Microsoft Excel 2016.\u00a0
attribute	NC_GLOBAL	awards_0_award_nid	String	668546
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1538525
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538525
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	Growth rates for E. huxleyi across 12 temperatures from 8.5-28.6C PI: D. Hutchins (USC) version date: 2019-11-26
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	2019-11-26T15:06:41Z
attribute	NC_GLOBAL	date_modified	String	2020-04-30T13:16:56Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.782911.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/782911
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Turner Fluorometer 10-AU
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	782916
attribute	NC_GLOBAL	instruments_0_description	String	The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Turner Designs Fluorometer 10-AU
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	464
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Used to count cell samples
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	782919
attribute	NC_GLOBAL	instruments_1_description	String	Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB06/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Microscope-Fluorescence
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	695
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Olympus BX51 microscope
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, growth, Growth_Rate, management, oceanography, office, preliminary, rate, temperature
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/782911/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/782911
attribute	NC_GLOBAL	param_mapping	String	{'782911': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/782911/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Southern California
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	USC
attribute	NC_GLOBAL	people_0_person_name	String	David A. Hutchins
attribute	NC_GLOBAL	people_0_person_nid	String	51048
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	Environmental variability and phytoplankton growth
attribute	NC_GLOBAL	projects_0_acronym	String	Environmental variability and phytoplankton growth
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Microscopic plants called phytoplankton are key members of global oceanic ecosystems, since their photosynthesis supports the majority of the marine food chain and produces about as much oxygen as land plants. Because of this, oceanographers have often carried out experiments examining how factors such as temperature and carbon dioxide levels may affect phytoplankton growth. Most previous experiments have used constant levels of temperature and carbon dioxide, but it is clear from looking at measurements from real ocean ecosystems that these two factors often vary greatly over timescales of days to weeks. Using field and laboratory experiments along with computer modeling, this project will test how the growth of several major groups of phytoplankton differs under constant conditions of temperature and carbon dioxide, compared to conditions in which these factors fluctuate in intensity and frequency. This research will give marine scientists a better picture of how phytoplankton may respond to a varying natural environment today and in the future, and therefore help us to understand how ocean food webs function to support critical living resources such as fisheries. The project will train graduate and undergraduate students and a postdoctoral researcher, and the lead scientists will be involved in an ocean science education program for largely minority high school students from a downtown Los Angeles school district. The goal of this project is to use laboratory culture and natural community experiments to understand how realistically fluctuating temperature and pCO2 conditions may affect globally important phytoplankton groups in ways that differ from the artificial constant exposures used in previous work. Culture experiments will test how the intensity and frequency of short-term thermal and carbonate fluctuations affects the growth responses of diazotrophic and picoplanktonic cyanobacteria, coccolithophores, and diatoms under both current and projected future environmental conditions. These lab results will be supported and extended by parallel experiments using mixed natural assemblages from the California upwelling regime, allowing us to test these same questions using phytoplankton communities that experience large seasonal shifts between highly dynamic thermal and carbonate system conditions during the spring upwelling season, and relatively much more static conditions during fall stratification events. These results will be synthesized using a new generation of numerical models that employ novel approaches to incorporating realistic environmental variations to allow more accurate predictions of phytoplankton responses to a dynamic environment in today's marine ecosystems, and in the future changing ocean.
attribute	NC_GLOBAL	projects_0_end_date	String	2018-11
attribute	NC_GLOBAL	projects_0_geolocation	String	laboratory experiment
attribute	NC_GLOBAL	projects_0_name	String	How does intensity and frequency of environmental variability affect phytoplankton growth?
attribute	NC_GLOBAL	projects_0_project_nid	String	668547
attribute	NC_GLOBAL	projects_0_start_date	String	2015-12
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 presents growth rates for Emiliania huxleyi thermal response curve across 12 temperatures from 8.5-28.6C.Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.
attribute	NC_GLOBAL	title	String	[Ehux growth rates for thermal response curve] - Growth rates for Emiliania huxleyi thermal response curve across 12 temperatures from 8.5-28.6C (How does intensity and frequency of environmental variability affect phytoplankton growth?)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	Temperature		float
attribute	Temperature	_FillValue	float	NaN
attribute	Temperature	actual_range	float	8.5, 28.6
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	treatment temperature
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	Growth_Rate		double
attribute	Growth_Rate	_FillValue	double	NaN
attribute	Growth_Rate	actual_range	double	-0.515870155, 0.931521757
attribute	Growth_Rate	bcodmo_name	String	growth
attribute	Growth_Rate	description	String	E. huxleyi growth rate by fluorescence and cell counts
attribute	Growth_Rate	long_name	String	Growth Rate
attribute	Growth_Rate	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.