ERDDAP > info > bcodmo_dataset_782322

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	[Synechococcus fluorescence emission spectra] - Fluorescence spectra for 3 strains of Synechococcus while increasing temperatures to detect the photosystem components disassociation temperature (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_782322

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	Natural seawater was enriched for photoautotrophs and split into multiple temperatures for two weeks. After the enrichment period, Synechococcus was isolated from each temperature. Each isolate's thermal niche was measured through a series of lab experiments and sequenced. 200ml of dense culture was concentrated by centrifuging 25,000 x g for 15 minutes. The subsequent cell pellet was resuspended in 5ml of sterile growth media. Cell concentrate was dark acclimated for 10 minutes and 200ul was used to measure the fluorescence spectra. After each measurement, the temperature increased and cells were dark acclimated at that temperature for an additional 10 minutes. This continued until the fluorescence decreased to ~0 indicating the disassociation of the photosynthetic apparatus. This was done following the methods published in Pittera et al., 2017.
attribute	NC_GLOBAL	awards_0_award_nid	String	712792
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1638804
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804
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	Fluorescence spectra for 3 strains of newly isolated marine Synechococcus distinct genotypes related to their accessory pigments while temperatures were increased to detect the photosystem components disassociation temperature. PI: D. Hutchins (USC) version date: 2019-11-20
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	2019-11-21T14:03:29Z
attribute	NC_GLOBAL	date_modified	String	2020-03-09T13:35:16Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.782322.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/782322
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Used to measure the fluorescence spectra
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	783245
attribute	NC_GLOBAL	instruments_0_description	String	Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: https://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.
attribute	NC_GLOBAL	instruments_0_instrument_name	String	plate reader
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	528693
attribute	NC_GLOBAL	instruments_0_supplied_name	String	SpectraMax m2 (Molecular Devices, CA)
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Used to create a pellet of cells.
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	783248
attribute	NC_GLOBAL	instruments_1_description	String	A machine with a rapidly rotating container that applies centrifugal force to its contents, typically to separate fluids of different densities (e.g., cream from milk) or liquids from solids.
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Centrifuge
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	629890
attribute	NC_GLOBAL	instruments_1_supplied_name	String	centrifuge
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, dmo, Em_nm, erddap, la126, LA126_A, LA126_B, LA126_C, la127, LA127_A, LA127_B, LA127_C, la31, LA31_A, LA31_B, LA31_C, management, oceanography, office, preliminary, temperature
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/782322/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/782322
attribute	NC_GLOBAL	param_mapping	String	{'782322': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/782322/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	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	summary	String	Fluorescence spectra from 600-700nm at 530nm excitation for 3 strains of Synechococcus while increasing temperatures to detect the photosystem components disassociation temperature.
attribute	NC_GLOBAL	title	String	[Synechococcus fluorescence emission spectra] - Fluorescence spectra for 3 strains of Synechococcus while increasing temperatures to detect the photosystem components disassociation temperature (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() v1.5
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	22, 57
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	experimental 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	Em_nm		short
attribute	Em_nm	_FillValue	short	32767
attribute	Em_nm	actual_range	short	550, 714
attribute	Em_nm	bcodmo_name	String	wavelength
attribute	Em_nm	description	String	Experimental wavelength
attribute	Em_nm	long_name	String	Em Nm
attribute	Em_nm	units	String	nanometers
variable	LA31_A		float
attribute	LA31_A	_FillValue	float	NaN
attribute	LA31_A	actual_range	float	-832.303, 439.577
attribute	LA31_A	bcodmo_name	String	fluorescence
attribute	LA31_A	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA31 subsample A
attribute	LA31_A	long_name	String	LA31 A
attribute	LA31_A	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA31_A	units	String	percent
variable	LA31_B		float
attribute	LA31_B	_FillValue	float	NaN
attribute	LA31_B	actual_range	float	-621.302, 450.052
attribute	LA31_B	bcodmo_name	String	fluorescence
attribute	LA31_B	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA31 subsample B
attribute	LA31_B	long_name	String	LA31 B
attribute	LA31_B	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA31_B	units	String	percent
variable	LA31_C		float
attribute	LA31_C	_FillValue	float	NaN
attribute	LA31_C	actual_range	float	-31.349, 523.538
attribute	LA31_C	bcodmo_name	String	fluorescence
attribute	LA31_C	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA31 subsample C
attribute	LA31_C	long_name	String	LA31 C
attribute	LA31_C	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA31_C	units	String	percent
variable	LA126_A		float
attribute	LA126_A	_FillValue	float	NaN
attribute	LA126_A	actual_range	float	-1046.895, 456.057
attribute	LA126_A	bcodmo_name	String	fluorescence
attribute	LA126_A	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA126 subsample A
attribute	LA126_A	long_name	String	LA126 A
attribute	LA126_A	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA126_A	units	String	percent
variable	LA126_B		float
attribute	LA126_B	_FillValue	float	NaN
attribute	LA126_B	actual_range	float	-9.916, 571.553
attribute	LA126_B	bcodmo_name	String	fluorescence
attribute	LA126_B	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA126 subsample B
attribute	LA126_B	long_name	String	LA126 B
attribute	LA126_B	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA126_B	units	String	percent
variable	LA126_C		double
attribute	LA126_C	_FillValue	double	NaN
attribute	LA126_C	actual_range	double	-11.731, 13308.723
attribute	LA126_C	bcodmo_name	String	fluorescence
attribute	LA126_C	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA126 subsample C
attribute	LA126_C	long_name	String	LA126 C
attribute	LA126_C	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA126_C	units	String	percent
variable	LA127_A		float
attribute	LA127_A	_FillValue	float	NaN
attribute	LA127_A	actual_range	float	-13.41, 5481.022
attribute	LA127_A	bcodmo_name	String	fluorescence
attribute	LA127_A	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA127 subsample A
attribute	LA127_A	long_name	String	LA127 A
attribute	LA127_A	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA127_A	units	String	percent
variable	LA127_B		float
attribute	LA127_B	_FillValue	float	NaN
attribute	LA127_B	actual_range	float	-1068.847, 375.704
attribute	LA127_B	bcodmo_name	String	fluorescence
attribute	LA127_B	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA127 subsample B
attribute	LA127_B	long_name	String	LA127 B
attribute	LA127_B	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA127_B	units	String	percent
variable	LA127_C		double
attribute	LA127_C	_FillValue	double	NaN
attribute	LA127_C	actual_range	double	-14.4, 16090.617
attribute	LA127_C	bcodmo_name	String	fluorescence
attribute	LA127_C	description	String	Percentage change in fluorescence emission at 530nm excitation for strain LA127 subsample C
attribute	LA127_C	long_name	String	LA127 C
attribute	LA127_C	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
attribute	LA127_C	units	String	percent

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.