ERDDAP > info > bcodmo_dataset_927682_v1

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	[Invertebrate Species Counts] - Counts of organisms recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)		F   I   M	background			BCO-DMO	bcodmo_dataset_927682_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.927682.1
attribute	NC_GLOBAL	Easternmost_Easting	double	-123.0715
attribute	NC_GLOBAL	geospatial_lat_max	double	39.42859
attribute	NC_GLOBAL	geospatial_lat_min	double	38.31536
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	-123.0715
attribute	NC_GLOBAL	geospatial_lon_min	double	-123.829
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/927682
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	39.42859
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	Southernmost_Northing	double	38.31536
attribute	NC_GLOBAL	summary	String	The Kelp Forest Monitoring data record span surveys across 24 years from 1999 through 2023 at 20 locations on the Sonoma-Mendocino Coast, Northern California. Years without data, inclusive: 2002, 2020, 2021. These surveys are ongoing and are conducted by the California Department of Fish and Wildlife dive team with participation from dive program partners at UC Davis, UC Santa Cruz, Cal Poly Humboldt, Sonoma State, and other dive programs and volunteers. Not all sites were surveyed in all years. Surveys prior to 2000 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30 x 2 meter (m) transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transects surveys were stratified by depth (A=0-15, B=16-30, C=31-45, D=46-60 ft) as we know sea urchin and abalone populations differ by depth. Data collected include the number of live, dying (in some years during the mass mortality events), and dead sea urchins (red-Mesocentrotus franciscanus and purple-Strongylocentrotus purpuratus), red abalone (Haliotis rufescens), pinto abalone (H. kamtschatkana), flat abalone (H. walallensis), as well as empty abalone shells (again in some years). Additional data collected (if Scuba bottom time and/or air allowed): red abalone size, numbers or presence of associated species such as sea stars and predators, algal group quantification, and presence of bull kelp, substrate type. Data on algae and associated species differed depending on the year and the focus of the studies in response to ecosystem conditions but all years quantified sea urchins and abalones. These data provide a baseline of biological conditions in the kelp forest before, during and after the major marine heatwave of 2014-2016 in northern California. These data were used to manage the recreational red abalone fishery by the California Department of Fish and Wildlife from 2002 to the closure of the fishery in 2018. These data are from the two counties Sonoma and Mendocino County that had 95% of the bull kelp forests in northern California.
attribute	NC_GLOBAL	title	String	[Invertebrate Species Counts] - Counts of organisms recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)
attribute	NC_GLOBAL	Westernmost_Easting	double	-123.829
variable	SurveyNum		String
attribute	SurveyNum	long_name	String	Surveynum
attribute	SurveyNum	units	String	unitless
variable	DFW_short_code		String
attribute	DFW_short_code	long_name	String	Dfw_short_code
attribute	DFW_short_code	units	String	unitless
variable	SiteName		String
attribute	SiteName	long_name	String	Sitename
attribute	SiteName	units	String	unitless
variable	latitude		float
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	actual_range	float	38.31536, 39.42859
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	-123.829, -123.0715
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	SurveyType		String
attribute	SurveyType	long_name	String	Surveytype
attribute	SurveyType	units	String	unitless
variable	SurveyDate		String
attribute	SurveyDate	long_name	String	Surveydate
attribute	SurveyDate	units	String	unitless
variable	Year		int
attribute	Year	actual_range	int	1999, 2023
attribute	Year	long_name	String	Year
attribute	Year	units	String	unitless
variable	Month		int
attribute	Month	actual_range	int	1, 12
attribute	Month	long_name	String	Month
attribute	Month	units	String	unitless
variable	Day		int
attribute	Day	actual_range	int	1, 31
attribute	Day	long_name	String	Day
attribute	Day	units	String	unitless
variable	Timezone		String
attribute	Timezone	long_name	String	Timezone
attribute	Timezone	units	String	unitless
variable	SpeciesID		String
attribute	SpeciesID	long_name	String	Speciesid
attribute	SpeciesID	units	String	unitless
variable	ScientificName		String
attribute	ScientificName	long_name	String	Scientificname
attribute	ScientificName	units	String	unitless
variable	CommonName		String
attribute	CommonName	long_name	String	Commonname
attribute	CommonName	units	String	unitless
variable	Count		int
attribute	Count	actual_range	int	0, 9999
attribute	Count	long_name	String	Count
attribute	Count	units	String	number of indiviuals
variable	Presence		String
attribute	Presence	long_name	String	Presence
attribute	Presence	units	String	unitless
variable	Comments		String
attribute	Comments	long_name	String	Comments
attribute	Comments	units	String	unitless
variable	ProtectionStatus		String
attribute	ProtectionStatus	long_name	String	Protectionstatus
attribute	ProtectionStatus	units	String	unitless
variable	depth_f		float
attribute	depth_f	actual_range	float	4.0, 69.0
attribute	depth_f	long_name	String	Averagedepth
attribute	depth_f	units	String	feet
variable	MinimumDepth		float
attribute	MinimumDepth	actual_range	float	2.0, 63.0
attribute	MinimumDepth	long_name	String	Minimumdepth
attribute	MinimumDepth	units	String	feet
variable	MaximumDepth		float
attribute	MaximumDepth	actual_range	float	6.0, 80.0
attribute	MaximumDepth	long_name	String	Maximumdepth
attribute	MaximumDepth	units	String	feet

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.