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Title Sum-
Institution Dataset ID
     data   graph     files  public Bag Seine Catch Data in Bays along the Texas Coast from 1982 to 2016    ?     I   M   background (external link) RSS Subscribe 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

Note:\u00a0All station_id numbers\u00a0are included at least once in this
dataset (e.g.\u00a0some organisms were observed at every station/sampling
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 (external link)
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/ (external link)
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 (external link)
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 (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/773137 (external link)
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 (external link)
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/ (external link)
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/ (external link)
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/ (external link)
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/ (external link)
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/ (external link)
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/ (external link)
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.

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