ERDDAP > info > bcodmo_dataset_778869

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	[Growth rates - evolution expt] - Daily growth rates of 8 populations of Chaetoceros simplex grown at 31C with control population at 25C, in regular L1 medium (884 µm NO3-) (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)		I   M	background			BCO-DMO	bcodmo_dataset_778869

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	Chaetoceros simplex cultures, were obtained from population strain CCMP 200 (National Center for Marine Algae and Microbiota, NCMA). Evolution experiment: Eight populations were grown at 31 \u00b0C, and one was maintained as a control at 25 \u00b0C in regular L1 medium (884 \u03bcm NO3\u2212). At 31 \u00b0C, four populations remained in regular L1 medium (884 \u03bcm NO3\u2212), while the other four received nitrogen\u2010reduced L1 medium (5 \u03bcm NO3\u2212); Populations were maintained in 50 mL polycarbonate culture flasks, at 100 \u03bcmol quanta m\u22122 s\u22121 cool white fluorescent light on a 14/10 h day/night cycle. We gently inverted and randomly repositioned flasks daily. Every three days c. 10^6 cells (never < 6 \u00d7 10^5 cells) from each population were transferred to fresh media. We monitored populations by measuring in vivo optical density daily (436 nm wavelength absorbance) using a Shimadzu UV\u20102401PC spectrophotometer before and after each transfer Growth rate calculations: When more than two biomass observations (optical density or fluorescence, depending on the experiment) within the exponential growth phase were available, we calculated population growth rates (day\u22121), as the slope of the linear regression of ln(biomass) vs. time (days). Alternatively, when biomass measurements were made every 2\u20133 days, we calculated growth rate as (lnB2-LnB1)/(t2-t1) where B is biomass and t is time (days) and the number of generations within a particular time range, \u0394t, as (u/ln2)^\u0394t where u is growth rate.\u00a0 Calculations were made with R, and scripts can be downloaded from: [https://github.com/MariaArangurenGassis/PhytoEvolutionPaper2019](\\"https://github.com/MariaArangurenGassis/PhytoEvolutionPaper2019\\"). More details in Aranguren-Gassis et al. 2019, Ecology Letters.
attribute	NC_GLOBAL	awards_0_award_nid	String	712786
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1638958
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638958
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	awards_1_award_nid	String	712792
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1638804
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50446
attribute	NC_GLOBAL	awards_2_award_nid	String	712795
attribute	NC_GLOBAL	awards_2_award_number	String	OCE-1638834
attribute	NC_GLOBAL	awards_2_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
attribute	NC_GLOBAL	awards_2_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_2_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_2_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_2_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_2_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	Growth Rates from Evolution Experiment Daily growth rates of 8 populations of Chaetoceros simplex grown at 31C with control population at 25C, in regular L1 medium (884 um NO3-) P.I.'s: M. Aranguren-Gassis (U. Vigo), E. Litchman (MSU), C. Klausmeier (MSU) version date: 2019-10-07
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	2019-10-09T16:42:38Z
attribute	NC_GLOBAL	date_modified	String	2019-10-30T17:29:31Z
attribute	NC_GLOBAL	defaultDataQuery	String	&amp;time&lt;now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.778869.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/778869
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	UV Spectrophotometer-Shimadzu
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	778878
attribute	NC_GLOBAL	instruments_0_description	String	The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information.
attribute	NC_GLOBAL	instruments_0_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
attribute	NC_GLOBAL	instruments_0_instrument_name	String	UV Spectrophotometer-Shimadzu
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	595
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Shimadzu UV‐2401PC spectrophotometer
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, concentration, data, dataset, dmo, erddap, evol, Evol_strain, growth, Growth_rate, management, n02, nitrate, Nitrate_Concentration, no3, oceanography, office, period, preliminary, rate, replicate, strain, temperature
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/778869/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/778869
attribute	NC_GLOBAL	param_mapping	String	{'778869': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/778869/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_0_person_name	String	Elena Litchman
attribute	NC_GLOBAL	people_0_person_nid	String	543190
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	Michigan State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_1_person_name	String	Christopher Klausmeier
attribute	NC_GLOBAL	people_1_person_nid	String	543192
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	Michigan State University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_2_person_name	String	Colin T. Kremer
attribute	NC_GLOBAL	people_2_person_nid	String	779889
attribute	NC_GLOBAL	people_2_role	String	Scientist
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Universidad de Vigo
attribute	NC_GLOBAL	people_3_person_name	String	Maria Aranguren-Gassis
attribute	NC_GLOBAL	people_3_person_nid	String	778758
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	Phytoplankton Community Responses
attribute	NC_GLOBAL	projects_0_acronym	String	Phytoplankton Community Responses
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island. Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.
attribute	NC_GLOBAL	projects_0_end_date	String	2020-09
attribute	NC_GLOBAL	projects_0_geolocation	String	Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
attribute	NC_GLOBAL	projects_0_name	String	Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
attribute	NC_GLOBAL	projects_0_project_nid	String	712787
attribute	NC_GLOBAL	projects_0_start_date	String	2016-10
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	Temperature
attribute	NC_GLOBAL	summary	String	Daily growth rates of 8 populations of Chaetoceros simplex grown at 31C and control population at 25C, in regular L1 medium (884 \u03bcm NO3\u2212) or nitrogen\u2010reduced L1 medium (5 \u03bcm NO3\u2212).
attribute	NC_GLOBAL	title	String	[Growth rates - evolution expt] - Daily growth rates of 8 populations of Chaetoceros simplex grown at 31C with control population at 25C, in regular L1 medium (884 µm NO3-) (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Evol_strain		String
attribute	Evol_strain	bcodmo_name	String	sample
attribute	Evol_strain	description	String	evolved population identifier; L1 signifies strains raised in 'regular' medium at 884 micromoles nitrate; 5 signifies medium with reduced nitrate at 5 micromoles; last number is replicate
attribute	Evol_strain	long_name	String	Evol Strain
attribute	Evol_strain	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	Evol_strain	units	String	unitless
variable	period		byte
attribute	period	_FillValue	byte	127
attribute	period	actual_range	byte	1, 84
attribute	period	bcodmo_name	String	unknown
attribute	period	description	String	Culture transfer for which the rate is calculated
attribute	period	long_name	String	Period
attribute	period	units	String	unitless
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	31, 31
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Culture maintenance 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	Celsius degrees
variable	Nitrate_Concentration		String
attribute	Nitrate_Concentration	bcodmo_name	String	treatment
attribute	Nitrate_Concentration	description	String	Culture media nitrate concentration; L1 signifies 'regular' medium at 884 micromoles nitrate; 5 signifies reduced nitrate at 5 micromoles
attribute	Nitrate_Concentration	long_name	String	Nitrate Concentration
attribute	Nitrate_Concentration	units	String	Micromolar
variable	Replicate		byte
attribute	Replicate	_FillValue	byte	127
attribute	Replicate	actual_range	byte	1, 4
attribute	Replicate	bcodmo_name	String	replicate
attribute	Replicate	description	String	Replicate number
attribute	Replicate	long_name	String	Replicate
attribute	Replicate	units	String	unitless
variable	Growth_rate		float
attribute	Growth_rate	_FillValue	float	NaN
attribute	Growth_rate	actual_range	float	-0.2, 3.0
attribute	Growth_rate	bcodmo_name	String	growth
attribute	Growth_rate	description	String	Growth rate calculated from biomass
attribute	Growth_rate	long_name	String	Growth Rate
attribute	Growth_rate	units	String	day-1

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.