ERDDAP > info > bcodmo_dataset_813210

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	[Flow Cytometry Results] - Results of the quantification of symbiont cell numbers from 400 Acropora hyacinthus colonies subjected to experimental bleaching in the summer of 2018 in Palau. (Predicting the global location of heat tolerant corals: Palau patch reefs as a general model)		I   M	background			BCO-DMO	bcodmo_dataset_813210

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	These samples were collected according to the protocol published by Krediet et al. 2015: Article Rapid, Precise, and Accurate Counts of Symbiodinium Cells Using the Guava Flow Cytometer, and a Comparison to Other Methods The samples that were analyzed for this study are 400 colonies of Acropora hyacinthus. Nubbins from each colony were experimentally bleached at temperatures of 34, 34.5 and 35 degrees Celsius as well as two control treatments (30 deg. C). These nubbins were then airbrushed and the resulting tissue slurry was preserved in RNAlater. Tissue dissociation and preparation for analysis on the Guava EasyCyte flow cytometer followed the protocol by Krediet et al. 2015. Procedures followed Krediet et al. 2015 (above), with the exception that protein concentration was not measured.
attribute	NC_GLOBAL	awards_0_award_nid	String	764076
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1736736
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736736
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	Flowcyt Stephen Palumbi Data Version 1: 2020-06-23
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	2020-05-28T16:36:32Z
attribute	NC_GLOBAL	date_modified	String	2020-07-08T18:02:32Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.813210.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/813210
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Flow Cytometer
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	813213
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 2-laser flow cytometer (Millipore)
attribute	NC_GLOBAL	keywords	String	acquisition, Acquisition_Time, allevents, ALLEVENTS_Conc, bco, bco-dmo, biological, cell, Cell_Count, cells, chemical, conc, count, data, dataset, dmo, erddap, events, management, negative, Negative_Acquisition_Time, Negative_Cells, Negative_Events, Negative_Sym_Conc, Negative_Total_Count, Negative_Total_Vol, number, Number_of_Events, oceanography, office, preliminary, sample, Sample_ID, sym, symbiodinium, SYMBIODINIUM_Conc, temperature, time, total, Total_Volume, treatment, vol, volume
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/813210/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/813210
attribute	NC_GLOBAL	param_mapping	String	{'813210': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/813210/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Stanford University
attribute	NC_GLOBAL	people_0_person_name	String	Stephen R. Palumbi
attribute	NC_GLOBAL	people_0_person_nid	String	51368
attribute	NC_GLOBAL	people_0_role	String	Lead 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	Christina Haskins
attribute	NC_GLOBAL	people_1_person_nid	String	746212
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	Heat Tolerant Corals
attribute	NC_GLOBAL	projects_0_acronym	String	Heat Tolerant Corals
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: When coral reefs heat up just a few degrees above normal summer temperatures, a reaction called coral bleaching can occur in which single celled plants living inside coral cells are expelled. The coral turns from its normal tan color to bleached white, and because it is deprived of the normal food supply from its plant partner, most of these corals die. Yet, some corals naturally can survive high temperatures that cause others in the same species to bleach. Identifying where these heat tolerant corals are common would provide a general tool for protecting and restoring heat tolerant reefs. The investigators will conduct experiments on 30 patch reefs in Palau of very different sizes in two lagoons, record local temperatures for 400 corals, and test coral heat tolerance using a newly designed coral stress tank. Because large patch reefs generally heat up during daytime low tides, The investigators hypothesize that they are commonly home to heat resistant corals. They will also move heat tolerant corals to cooler locations to test the stability of heat resistance among corals. The stress tank technologies can be widely used in remote settings, and will provide a set of generalizable, practical tools for communities and managers to find and protect heat tolerant corals in reefs around the world. The work will advance undergraduate STEM education in California and Palau. A partnership with the Palau Community College will facilitate the engagement of Pacific Island communities and students. Students will receive interdisciplinary training in field research, genomics and bioinformatics and learn practical skills that will enable them to collect and interpret stress tank and temperature data. Broader outreach efforts will include the production and dissemination of a series of microdocumentaries and blog posts designed to bring the concept of a world-wide search for heat tolerant corals to a global audience. Previous coral reef research has demonstrated that periodic high water temperatures can induce high heat tolerance in reef building corals through a combination of acclimation and selection at many genetic loci. Key questions include whether these kinds of heat tolerant habitats are common or rare, and whether their locations can be predicted by identifying coral reefs where daily temperature spikes regularly occur at low tide. This project will examine heat tolerance of 400 corals in the Acropora hyacinthus species complex across 30 patch reefs in Palau that experience variable temperature and flow profiles. This study will utilize a variety of methods to characterize spatial and temporal patterns of heat tolerance including: (1) the development of low-cost, portable heat stress tanks to quickly and affordably assess in situ conditions, (2) genomic assays of physiological condition to identify the genes and gene expression mechanisms that are responsible for heat tolerance, (3) high resolution temperature mapping to trace the role of temperature variation in producing stable, high temperature tolerance in reef building corals, and (4) reciprocal transplant experiments to evaluate whether heat resistant corals retain heat resistance when moved to cooler locations. This research will expand the geographic map of habitats with known heat tolerance, and expedite the ability to locate coral populations that may be most resistant to future ocean warming.
attribute	NC_GLOBAL	projects_0_end_date	String	2020-09
attribute	NC_GLOBAL	projects_0_geolocation	String	Palau
attribute	NC_GLOBAL	projects_0_name	String	Predicting the global location of heat tolerant corals: Palau patch reefs as a general model
attribute	NC_GLOBAL	projects_0_project_nid	String	764077
attribute	NC_GLOBAL	projects_0_start_date	String	2017-10
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	Results of the quantification of symbiont cell numbers from 400 Acropora hyacinthus colonies subjected to experimental bleaching in the summer of 2018 in Palau.
attribute	NC_GLOBAL	title	String	[Flow Cytometry Results] - Results of the quantification of symbiont cell numbers from 400 Acropora hyacinthus colonies subjected to experimental bleaching in the summer of 2018 in Palau. (Predicting the global location of heat tolerant corals: Palau patch reefs as a general model)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.5
variable	Sample		short
attribute	Sample	_FillValue	short	32767
attribute	Sample	actual_range	short	1, 400
attribute	Sample	bcodmo_name	String	sample
attribute	Sample	description	String	Colony Number
attribute	Sample	long_name	String	Sample
attribute	Sample	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	Sample	units	String	dimensionless
variable	Treatment		String
attribute	Treatment	bcodmo_name	String	treatment
attribute	Treatment	description	String	Treatment (C1 and C2 are control), all others are heat stress
attribute	Treatment	long_name	String	Treatment
attribute	Treatment	units	String	unitless
variable	Temperature		float
attribute	Temperature	_FillValue	float	NaN
attribute	Temperature	actual_range	float	30.0, 35.0
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Specific Temperature treatment
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	units	String	degrees Celsius
variable	Sample_ID		short
attribute	Sample_ID	_FillValue	short	32767
attribute	Sample_ID	actual_range	short	1, 1684
attribute	Sample_ID	bcodmo_name	String	sample
attribute	Sample_ID	description	String	Unique sample ID (technical replicates have the same SampleID)
attribute	Sample_ID	long_name	String	Sample ID
attribute	Sample_ID	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	Sample_ID	units	String	dimensionless
variable	ALLEVENTS_Conc		double
attribute	ALLEVENTS_Conc	_FillValue	double	NaN
attribute	ALLEVENTS_Conc	actual_range	double	2096.96, 2541437.63
attribute	ALLEVENTS_Conc	bcodmo_name	String	cell_concentration
attribute	ALLEVENTS_Conc	description	String	Concentration (cells/ml) of events above gating threshold
attribute	ALLEVENTS_Conc	long_name	String	ALLEVENTS Conc
attribute	ALLEVENTS_Conc	units	String	cells/ml
variable	SYMBIODINIUM_Conc		double
attribute	SYMBIODINIUM_Conc	_FillValue	double	NaN
attribute	SYMBIODINIUM_Conc	actual_range	double	0.0, 396300.22
attribute	SYMBIODINIUM_Conc	bcodmo_name	String	cell_concentration
attribute	SYMBIODINIUM_Conc	description	String	Concentration (cells/ml) of events above gating threshold that are also above the symbiodinium gating threshold
attribute	SYMBIODINIUM_Conc	long_name	String	SYMBIODINIUM Conc
attribute	SYMBIODINIUM_Conc	units	String	cells/ml
variable	Number_of_Events		short
attribute	Number_of_Events	_FillValue	short	32767
attribute	Number_of_Events	actual_range	short	30, 5000
attribute	Number_of_Events	bcodmo_name	String	count
attribute	Number_of_Events	colorBarMaximum	double	100.0
attribute	Number_of_Events	colorBarMinimum	double	0.0
attribute	Number_of_Events	description	String	Number of events counted (max 5000)
attribute	Number_of_Events	long_name	String	Number Of Events
attribute	Number_of_Events	units	String	unitless
variable	Cell_Count		float
attribute	Cell_Count	_FillValue	float	NaN
attribute	Cell_Count	actual_range	float	2.1, 2541.44
attribute	Cell_Count	bcodmo_name	String	cell_concentration
attribute	Cell_Count	colorBarMaximum	double	100.0
attribute	Cell_Count	colorBarMinimum	double	0.0
attribute	Cell_Count	description	String	Concentration (cells/ul) of events above gating threshold
attribute	Cell_Count	long_name	String	Cell Count
attribute	Cell_Count	units	String	cells/ul
variable	Total_Volume		float
attribute	Total_Volume	_FillValue	float	NaN
attribute	Total_Volume	actual_range	float	1.97, 100.3
attribute	Total_Volume	bcodmo_name	String	volume
attribute	Total_Volume	description	String	Total volume of sample measured in microliters
attribute	Total_Volume	long_name	String	Total Volume
attribute	Total_Volume	units	String	microliters
variable	Acquisition_Time		float
attribute	Acquisition_Time	_FillValue	float	NaN
attribute	Acquisition_Time	actual_range	float	8.34, 425.01
attribute	Acquisition_Time	bcodmo_name	String	time_elapsed
attribute	Acquisition_Time	description	String	Total acquisition time on instrument in seconds
attribute	Acquisition_Time	long_name	String	Acquisition Time
attribute	Acquisition_Time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/
attribute	Acquisition_Time	units	String	seconds
variable	Negative_Total_Count		short
attribute	Negative_Total_Count	_FillValue	short	32767
attribute	Negative_Total_Count	actual_range	short	22, 517
attribute	Negative_Total_Count	bcodmo_name	String	cell_concentration
attribute	Negative_Total_Count	colorBarMaximum	double	100.0
attribute	Negative_Total_Count	colorBarMinimum	double	0.0
attribute	Negative_Total_Count	description	String	Number of events above gating threshold in negative control
attribute	Negative_Total_Count	long_name	String	Negative Total Count
attribute	Negative_Total_Count	units	String	various
variable	Negative_Events		float
attribute	Negative_Events	_FillValue	float	NaN
attribute	Negative_Events	actual_range	float	14.4, 36137.93
attribute	Negative_Events	bcodmo_name	String	cell_concentration
attribute	Negative_Events	description	String	Concentration of cells (cells/ml) in negative control above gating threshold
attribute	Negative_Events	long_name	String	Negative Events
attribute	Negative_Events	units	String	cells/ml
variable	Negative_Sym_Conc		float
attribute	Negative_Sym_Conc	_FillValue	float	NaN
attribute	Negative_Sym_Conc	actual_range	float	0.0, 2935.75
attribute	Negative_Sym_Conc	bcodmo_name	String	cell_concentration
attribute	Negative_Sym_Conc	description	String	Concentration of symbiont cells in negative control above gating threshold
attribute	Negative_Sym_Conc	long_name	String	Negative Sym Conc
attribute	Negative_Sym_Conc	units	String	various
variable	Negative_Cells		float
attribute	Negative_Cells	_FillValue	float	NaN
attribute	Negative_Cells	actual_range	float	1.54, 36.14
attribute	Negative_Cells	bcodmo_name	String	cell_concentration
attribute	Negative_Cells	description	String	Concentration of cells (cells/ul) in negative control above gating threshold
attribute	Negative_Cells	long_name	String	Negative Cells
attribute	Negative_Cells	units	String	cell/ul
variable	Negative_Total_Vol		float
attribute	Negative_Total_Vol	_FillValue	float	NaN
attribute	Negative_Total_Vol	actual_range	float	14.3, 14.31
attribute	Negative_Total_Vol	bcodmo_name	String	volume
attribute	Negative_Total_Vol	description	String	Total volume of negative control measured in microliters
attribute	Negative_Total_Vol	long_name	String	Negative Total Vol
attribute	Negative_Total_Vol	units	String	microliters
variable	Negative_Acquisition_Time		float
attribute	Negative_Acquisition_Time	_FillValue	float	NaN
attribute	Negative_Acquisition_Time	actual_range	float	60.6, 60.62
attribute	Negative_Acquisition_Time	bcodmo_name	String	time_elapsed
attribute	Negative_Acquisition_Time	description	String	Total acquisistion time on instrument for negative control in seconds
attribute	Negative_Acquisition_Time	long_name	String	Negative Acquisition Time
attribute	Negative_Acquisition_Time	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/
attribute	Negative_Acquisition_Time	units	String	seconds

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.