bcodmo_dataset_997771_v1

Name: [SCTLD-associated Symbiodiniaceae ITS-2] - NCBI Sequence Read Archive (SRA) accession numbers for raw fastq sequence files of ITS-2 amplicons collected from healthy and SCTLD-affected tissues of nine coral species in Florida, U.S.A. and the U.S. Virgin Islands from 2018-2020 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)
Creator: BCO-DMO
License: The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.

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	[SCTLD-associated Symbiodiniaceae ITS-2] - NCBI Sequence Read Archive (SRA) accession numbers for raw fastq sequence files of ITS-2 amplicons collected from healthy and SCTLD-affected tissues of nine coral species in Florida, U.S.A. and the U.S. Virgin Islands from 2018-2020 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)		F I M	background			BCO-DMO	bcodmo_dataset_997771_v1

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	cdm_data_type	String	Other
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_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	doi	String	10.26008/1912/bco-dmo.997771.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-64.89533
attribute	NC_GLOBAL	geospatial_lat_max	double	24.7329
attribute	NC_GLOBAL	geospatial_lat_min	double	18.27925
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-64.89533
attribute	NC_GLOBAL	geospatial_lon_min	double	-81.4095
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://osprey.bco-dmo.org/dataset/997771
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	license	String	The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, ERD, NOAA, nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.
attribute	NC_GLOBAL	Northernmost_Northing	double	24.7329
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	Southernmost_Northing	double	18.27925
attribute	NC_GLOBAL	summary	String	These data include NCBI Sequence Read Archive (SRA) accession numbers for raw fastq files of internal transcribed spacer-2 (ITS-2) amplicons from 491 apparently healthy and stony coral tissue loss disease (SCTLD)-affected corals in Florida, U.S.A., and the United States Virgin Islands (USVI), representing nine coral species sampled in situ or during an SCTLD transmission experiment. From Florida, 215 samples were collected in situ from six epidemic sites in 2018. From the USVI, 110 samples were collected in situ from four reef sites in 2019-2020. Of the total samples, 325 were sampled in situ as sets of SCTLD-affected and apparently healthy conspecifics: two samples were collected from each diseased coral, one from tissue adjacent to the gross tissue loss lesion and one from apparently healthy tissue on the same coral; one sample was then collected from a nearby conspecific coral that was apparently healthy. The 166 remaining samples were originally collected from Rupert's Rock in the USVI, and samples were taken from these corals during a wet lab-based SCTLD transmission experiment. Understanding whether Symbiodiniaceae composition is predictive of disease state is crucial for managing SCTLD outbreaks, and these data permit investigations of how Symbiodiniaceae lineage-level dynamics may underlie variation in holobiont disease response. Florida samples were collected by Kerry Maxwell, Lindsay Huebner, Dr. Erinn M. Muller, and their teams at the Florida Fish & Wildlife Research Institute and Mote Marine Laboratory. USVI samples were collected by Dr. Marilyn Brandt, Sonora Meiling, Dr. Alex Veglia, Dr. Daniel Holstein, Dr. Laura Mydlarz, Dr. Amy Apprill, Dr. Adrienne Correa, and their teams. Danielle Lasseigne, Adam Glahn, Amanda Long, Bradley Arrington, Daniel Mele, Kathryn Cobleigh, Alexandra Gutting, Joseph Townsend, Naomi Huntley, Kelsey Beavers, Paul Barbera, Nate Berkebile, Tiffany Boisvert, Michael Bollinger, Katy Cummings, Amanda Ellis, Kristine Fisher, John Hart, Lauri Maclaughlin, Brian Reckenbeil, and Jennifer Stein assisted with field collections.
attribute	NC_GLOBAL	title	String	[SCTLD-associated Symbiodiniaceae ITS-2] - NCBI Sequence Read Archive (SRA) accession numbers for raw fastq sequence files of ITS-2 amplicons collected from healthy and SCTLD-affected tissues of nine coral species in Florida, U.S.A. and the U.S. Virgin Islands from 2018-2020 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities)
attribute	NC_GLOBAL	Westernmost_Easting	double	-81.4095
variable	sample		String
attribute	sample	long_name	String	Sample
attribute	sample	units	String	unitless
variable	coral_id		String
attribute	coral_id	long_name	String	Coral_id
attribute	coral_id	units	String	unitless
variable	sample_id		String
attribute	sample_id	long_name	String	Sample_id
attribute	sample_id	units	String	unitless
variable	health		String
attribute	health	long_name	String	Health
attribute	health	units	String	unitless
variable	host_phylum		String
attribute	host_phylum	long_name	String	Host_phylum
attribute	host_phylum	units	String	unitless
variable	host_class		String
attribute	host_class	long_name	String	Host_class
attribute	host_class	units	String	unitless
variable	host_order		String
attribute	host_order	long_name	String	Host_order
attribute	host_order	units	String	unitless
variable	host_family		String
attribute	host_family	long_name	String	Host_family
attribute	host_family	units	String	unitless
variable	host_genus		String
attribute	host_genus	long_name	String	Host_genus
attribute	host_genus	units	String	unitless
variable	host_species		String
attribute	host_species	long_name	String	Host_species
attribute	host_species	units	String	unitless
variable	susceptibility		String
attribute	susceptibility	long_name	String	Susceptibility
attribute	susceptibility	units	String	unitless
variable	location		String
attribute	location	long_name	String	Location
attribute	location	units	String	unitless
variable	sampletype		String
attribute	sampletype	long_name	String	Sampletype
attribute	sampletype	units	String	unitless
variable	site		String
attribute	site	long_name	String	Site
attribute	site	units	String	unitless
variable	latitude		float
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	actual_range	float	18.27925, 24.7329
attribute	latitude	axis	String	Y
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		float
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	actual_range	float	-81.4095, -64.89533
attribute	longitude	axis	String	X
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east
variable	year		String
attribute	year	long_name	String	Year
attribute	year	units	String	unitless
variable	col_health		String
attribute	col_health	long_name	String	Col_health
attribute	col_health	units	String	unitless
variable	figure_sample_id		String
attribute	figure_sample_id	long_name	String	Figure_sample_id
attribute	figure_sample_id	units	String	unitless
variable	figure_coral_id		String
attribute	figure_coral_id	long_name	String	Figure_coral_id
attribute	figure_coral_id	units	String	unitless
variable	ncbi_bioproject		String
attribute	ncbi_bioproject	long_name	String	Ncbi_bioproject
attribute	ncbi_bioproject	units	String	unitless
variable	ncbi_biosample		String
attribute	ncbi_biosample	long_name	String	Ncbi_biosample
attribute	ncbi_biosample	units	String	unitless
variable	AphiaID		int
attribute	AphiaID	actual_range	int	207516, 758261
attribute	AphiaID	long_name	String	Aphiaid
attribute	AphiaID	units	String	unitless

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.