ERDDAP > info > bcodmo_dataset_773137

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016		I   M	background			BCO-DMO	bcodmo_dataset_773137

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,.esriCsv,.geoJson
attribute	NC_GLOBAL	acquisition_description	String	The data were sampled in Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, the upper Laguna Madre, and the lower Laguna Madre from January 1982 to December 2016 (except in Sabine Lake, where sampling begun in January 1986). The surveys were conducted bi-weekly using bag seines (18.3 m long and 1.8 m deep with 19 mm stretched nylon mesh in wings and 13 mm stretched mesh in the bag), which were deployed along the shoreline. Bag seines were deployed multiple times during the first and second halves of the month in every bay system. The location of each sample was determined by randomly selecting one station from a predefined sampling universe and, once in the field, selecting a section of available shoreline within that station. At the selected sampling location, the bag seine was extended 12.2 m perpendicularly to the shoreline, then pulled parallel to the shoreline over 15.5 m. The offshore end was then retrieved to shore while keeping the onshore end stationary and maintaining the full extent (12.2 m) of the bag seine using a limit line. Organisms greater than 5 mm in total length were identified to the lowest taxonomic level.\u00a0 Further details of sampling protocols are described in the [Marine Resource Monitoring Operations Manual](\\"http://datadocs.bco-dmo.org/docs/Texas_Coastal_Fish/data_docs/CF- Mar-Res-Mon-Ops-Manual-2015.pdf\\")\u00a0(PDF).\u00a0 Note:\u00a0All station_id numbers\u00a0are included at least once in this dataset (e.g.\u00a0some organisms were observed at every station/sampling event).
attribute	NC_GLOBAL	awards_0_award_nid	String	704688
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1656923
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1656923
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	Bag Seine Catch Data PI: Masami Fujiwara (Texas A&M) Co-PI: Fernando Martinez-Andrade (Texas Parks & Wildlife Dept) Version date: 20-August-2019 Note: All station_id numbers are included at least once in this dataset (e.g. some organisms were observed at every station/sampling event).
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	2019-07-15T20:02:44Z
attribute	NC_GLOBAL	date_modified	String	2019-09-23T19:42:38Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.773137.1
attribute	NC_GLOBAL	Easternmost_Easting	double	974440.0
attribute	NC_GLOBAL	geospatial_lat_max	double	300320.0
attribute	NC_GLOBAL	geospatial_lat_min	double	260100.0
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	974440.0
attribute	NC_GLOBAL	geospatial_lon_min	double	934311.0
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/773137
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Data were collected using a bag seine: 18.3 m long and 1.8 m deep with 19 mm stretched nylon mesh in wings and 13 mm stretched mesh in the bag.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	773261
attribute	NC_GLOBAL	instruments_0_description	String	A seine net is a very long net, with or without a bag in the centre, which is set either from the shore or from a boat for surrounding a certain area and is operated with two (long) ropes fixed to its ends (for hauling and herding the fish). Seine nets are operated both in inland and in marine waters. The surrounded and catching area depends on the length of the seine and of the hauling lines. (definition from: fao.org)
attribute	NC_GLOBAL	instruments_0_instrument_name	String	Seine Net
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	716403
attribute	NC_GLOBAL	instruments_0_supplied_name	String	Bag seine
attribute	NC_GLOBAL	keywords	String	area, bco, bco-dmo, biological, catch, chemical, code, common, data, dataset, density, diss, Diss_Oxygen, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, latin, latitude, longitude, major, major_area, management, month, name, O2, ocean, oceanography, oceans, office, oxygen, practical, preliminary, salinity, science, sea, sea_water_practical_salinity, seawater, species, species_code, Species_common_name, Species_latin_name, station, station_id, temperature, turbidity, water, year
attribute	NC_GLOBAL	keywords_vocabulary	String	GCMD Science Keywords
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/773137/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/773137
attribute	NC_GLOBAL	Northernmost_Northing	double	300320.0
attribute	NC_GLOBAL	param_mapping	String	{'773137': {'Latitude': 'master - latitude', 'Longitude': 'master - longitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/773137/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Texas A&M University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	TAMU
attribute	NC_GLOBAL	people_0_person_name	String	Masami Fujiwara
attribute	NC_GLOBAL	people_0_person_nid	String	704691
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	Texas Parks and Wildlife Department
attribute	NC_GLOBAL	people_1_person_name	String	Fernando Martinez-Andrade
attribute	NC_GLOBAL	people_1_person_nid	String	773142
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	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Shannon Rauch
attribute	NC_GLOBAL	people_2_person_nid	String	51498
attribute	NC_GLOBAL	people_2_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_2_role_type	String	related
attribute	NC_GLOBAL	project	String	Texas Coastal Fish
attribute	NC_GLOBAL	projects_0_acronym	String	Texas Coastal Fish
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Understanding how changes in environmental conditions affect biota in the oceans is critically important for maintaining biodiversity and sustainable fisheries and projecting potential responses to future climate scenarios. The aims of this project are to determine how the distribution of fish and invertebrates has changed over time along the Texas coast and to assess the extent to which these changes are attributable to changes in local environmental conditions, such as sea surface temperature, coastal sea level, salinity, turbidity, and river discharge rate. Studies of biological systems in the Gulf of Mexico are lacking compared to coastal research in the Atlantic and Pacific oceans. Addressing these regional knowledge gaps is crucial because the Gulf of Mexico supports a wide diversity of temperate and tropical species that are ecologically and economically important. Poleward shifts in species distributions associated with increasing sea surface temperature have been observed along the Atlantic and Pacific coasts. In contrast, the northern edge of the Gulf of Mexico is bound by land that places biogeographic constraints on the potential responses of coastal organisms to changing environmental conditions. This project will use advanced statistical methods to analyze long-term species composition data for the northwestern Gulf of Mexico and characterize past relationships of species composition and local environmental conditions. These findings will help guide the development of predictive models to assess potential biological responses to projected environmental conditions. Research results will be shared with local and state resource agencies responsible for managing coastal fisheries. As an integral part of this project, a three-level (faculty-graduate-undergraduate) mentoring system will be established to promote diversity in science through undergraduate and graduate training. Undergraduate students will be recruited through the Texas A&M University Chapter of the Society for Advancement of Chicano and Native Americans in Science (SACNAS), for which the principal investigator is currently a faculty advisor. Both graduate and undergraduate students will work as a team on the project and develop quantitative data analysis and other general scientific skills. Finally, the research program will be used as a case study for establishing mentoring systems for promoting diversity in science. The availability of long-term species composition data provides a unique opportunity to substantially improve knowledge toward understanding the effects of climate change on marine organisms in a low latitude system. This project will examine species composition data for eight bays distributed over approximately 650 km of the Texas coast; comprehensive data of this type are uncommon elsewhere. The biological data have been collected over 35-40 years as part of a long-term monitoring program and includes information on more than 1000 species of fish and invertebrates. This unique dataset will be analyzed using modern statistical approaches, including occupancy data analysis, co-integration method, and state-space vector autoregressive modeling. These methods overcome common difficulties in statistical analyses, including datasets having multi-collinearity among independent variables and those involving non-stationarity. Based on the results of the statistical analyses, models enabling the prediction of species composition under projected local environmental conditions will be developed. As part of this project, undergraduate and graduate students will acquire expertise in contemporary analytical methods, research findings will be broadly shared with both the academic and resource management communities, and computational code will be made publically available. This project will provide better understanding of the effects of environmental conditions on fish and invertebrate distribution and will provide valuable information for improved fishery management and conservation efforts under changing environmental conditions.
attribute	NC_GLOBAL	projects_0_end_date	String	2020-05
attribute	NC_GLOBAL	projects_0_geolocation	String	coastal bays, Texas
attribute	NC_GLOBAL	projects_0_name	String	Effects of physical environmental conditions on the species distribution and composition of marine fish and invertebrates along the Texas coast
attribute	NC_GLOBAL	projects_0_project_nid	String	704689
attribute	NC_GLOBAL	projects_0_start_date	String	2017-06
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	Southernmost_Northing	double	260100.0
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Data on vertebrates and invertebrates caught by bag seine in Sabine Lake, Galveston Bay, Matagorda Bay, San Antonio Bay, Aransas Bay, Corpus Christi Bay, Upper Laguna Madre, and Lower Laguna Madre. Data were collected monthly from 1982 to 2016 (except in Sabine Lake sampling begun in 1986). Environmental data include oxygen, salinity, temperature, and turbidity.
attribute	NC_GLOBAL	title	String	Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	Westernmost_Easting	double	934311.0
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	major_area		byte
attribute	major_area	_FillValue	byte	127
attribute	major_area	actual_range	byte	1, 8
attribute	major_area	bcodmo_name	String	Site_ID
attribute	major_area	description	String	ID number for bays
attribute	major_area	long_name	String	Major Area
attribute	major_area	units	String	unitless
variable	Year		short
attribute	Year	_FillValue	short	32767
attribute	Year	actual_range	short	1982, 2016
attribute	Year	bcodmo_name	String	year
attribute	Year	description	String	4-digit year
attribute	Year	long_name	String	Year
attribute	Year	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/
attribute	Year	units	String	unitless
variable	Month		byte
attribute	Month	_FillValue	byte	127
attribute	Month	actual_range	byte	1, 12
attribute	Month	bcodmo_name	String	month
attribute	Month	description	String	1- or 2-digit month
attribute	Month	long_name	String	Month
attribute	Month	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/
attribute	Month	units	String	unitless
variable	station_id		String
attribute	station_id	bcodmo_name	String	station
attribute	station_id	description	String	Station ID number (from the bag seine data file)
attribute	station_id	long_name	String	Station Id
attribute	station_id	units	String	unitless
variable	catch		int
attribute	catch	_FillValue	int	2147483647
attribute	catch	actual_range	int	1, 107309
attribute	catch	bcodmo_name	String	count
attribute	catch	description	String	Number of individuals caught
attribute	catch	long_name	String	Catch
attribute	catch	units	String	unitless
variable	species_code		short
attribute	species_code	_FillValue	short	32767
attribute	species_code	actual_range	short	2, 9876
attribute	species_code	bcodmo_name	String	taxon_code
attribute	species_code	description	String	Species code
attribute	species_code	long_name	String	Species Code
attribute	species_code	units	String	unitless
variable	Species_common_name		String
attribute	Species_common_name	bcodmo_name	String	common_name
attribute	Species_common_name	description	String	Common name of species
attribute	Species_common_name	long_name	String	Species Common Name
attribute	Species_common_name	units	String	unitless
variable	Species_latin_name		String
attribute	Species_latin_name	bcodmo_name	String	species
attribute	Species_latin_name	description	String	Latin name of species
attribute	Species_latin_name	long_name	String	Species Latin Name
attribute	Species_latin_name	units	String	unitless
variable	Diss_Oxygen		float
attribute	Diss_Oxygen	_FillValue	float	NaN
attribute	Diss_Oxygen	actual_range	float	0.0, 32.1
attribute	Diss_Oxygen	bcodmo_name	String	dissolved Oxygen
attribute	Diss_Oxygen	description	String	Dissolved oxygen
attribute	Diss_Oxygen	long_name	String	Diss Oxygen
attribute	Diss_Oxygen	units	String	parts per million (PPM)
variable	Salinity		float
attribute	Salinity	_FillValue	float	NaN
attribute	Salinity	actual_range	float	0.0, 92.5
attribute	Salinity	bcodmo_name	String	sal
attribute	Salinity	colorBarMaximum	double	37.0
attribute	Salinity	colorBarMinimum	double	32.0
attribute	Salinity	description	String	Salinity
attribute	Salinity	long_name	String	Sea Water Practical Salinity
attribute	Salinity	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/
attribute	Salinity	units	String	PPT
variable	Temperature		float
attribute	Temperature	_FillValue	float	NaN
attribute	Temperature	actual_range	float	1.4, 39.9
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	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	Turbidity		short
attribute	Turbidity	_FillValue	short	32767
attribute	Turbidity	actual_range	short	0, 962
attribute	Turbidity	bcodmo_name	String	turbidity
attribute	Turbidity	description	String	Turbidity
attribute	Turbidity	long_name	String	Turbidity
attribute	Turbidity	missing_value	short	999
attribute	Turbidity	units	String	NTU
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	260100.0, 300320.0
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	colorBarMaximum	double	90.0
attribute	latitude	colorBarMinimum	double	-90.0
attribute	latitude	description	String	Latitude North. Formatted as degree-minutes-seconds without hyphens or separators. This is described in the manual and provided in this format to be consistent with other TPWD data.
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Latitude
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	934311.0, 974440.0
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	colorBarMaximum	double	180.0
attribute	longitude	colorBarMinimum	double	-180.0
attribute	longitude	description	String	Longitude West. Formatted as degree-minutes-seconds without hyphens or separators. This is described in the manual and provided in this format to be consistent with other TPWD data. When converting to decimal degrees, add a minus sign to indicate the west direction).
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Longitude
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east

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.