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Title Sum-
Institution Dataset ID
 data       graph  M    files  public Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project    ?   F   I   M   background RSS Subscribe NOAA NMFS SWFSC ERD ecocast

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL acknowledgment String We thank the scientific teams and all those who supported animal tagging efforts in addition to the SWFSC fisheries observer program that collected bycatch data aboard drift gillnet vessels. We are grateful to the numerous captains and crews who provided ship time and logistical support, and NOAA regional managers including Heidi Taylor and Tina Fahy that provided feedback and support along the way. We also thank Lucie Hazen at Stanford’s Center for Ocean Solutions for logistical and meeting support towards achieving the NASA project goals. This project also was a brain-child of the late Dave Foley whose career was dedicated to incorporate oceanographic data into fisheries management.
attribute NC_GLOBAL cdm_data_type String Grid
attribute NC_GLOBAL comment String Match up the time from this dataset to the time in the EcoCast Inputs dataset ( the obtain species weightings and enviromental data dates used to generate the EcoCast Maps
attribute NC_GLOBAL contributor_name String Elliott L. Hazen, Dana K. Briscoe, Heather Welch, Steven J. Bograd, Dale Robinson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Daniel P. Costa, Scott R. Benson (NOAA Southwest Fisheries Science Center / University of California Santa Cruz), Rebecca Lewison (San Diego State University), Helen Bailey (University of Maryland Center for Environmental Science), Sara M. Maxwell (Old Dominion University), Larry B. Crowder (Stanford University)
attribute NC_GLOBAL contributor_role String Co-PIs
attribute NC_GLOBAL Conventions String CF-1.6, ACDD-1.3, COARDS
attribute NC_GLOBAL creator_email String ;
attribute NC_GLOBAL creator_name String NOAA NMFS SWFSC ERD
attribute NC_GLOBAL creator_url String (external link)
attribute NC_GLOBAL Easternmost_Easting double -115.67100192
attribute NC_GLOBAL geospatial_lat_max double 47.0653
attribute NC_GLOBAL geospatial_lat_min double 29.652364600000002
attribute NC_GLOBAL geospatial_lat_resolution double 0.24875621999999997
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -115.67100192
attribute NC_GLOBAL geospatial_lon_min double -131.5914
attribute NC_GLOBAL geospatial_lon_resolution double 0.24875621999999997
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL infoUrl String
attribute NC_GLOBAL institution String NOAA NMFS SWFSC ERD
attribute NC_GLOBAL keywords String blue shark, California, California sea lion, Dermochelys coricea, dynamic ecosystem management, Earth Science > Biological Classification > Animals/Vertebrates > Fish > Ray-Finned Fishes, Earth Science > Biological Classification > Animals/Vertebrates > Fish > Sharks/Rays/Chimaeras, Earth Science > Biological Classification > Animals/Vertebrates > Mammals > Carnivores > Seals/Sea Lions/Walruses, Earth Science > Biological Classification > Animals/Vertebrates > Reptiles > Turtles, Earth Science > Human Dimensions > Environmental Governance/Management > Environmental Regulations, Earth Science > Human Dimensions > Sustainability > Environmental Sustainability, Earth Science > Oceans > Marine Environment Monitoring, Ecocast, leatherback sea turtle, NOAA, ocean, Prionace glauca, Southwest fisheries, SWFSC, Zalophus californianus
attribute NC_GLOBAL keywords_vocabulary String NASA Global Change Master Directory (GCMD) Keywords, Version 7.0.0
attribute NC_GLOBAL license String These data are available for use without restriction. Please acknowledge the use of these data by citing the following publications: Hazen et al. Sustaining pelagic fisheries: An Eco-Informatic solution to fisheries bycatch. In prep. Welch et al. Practical considerations for operationalizing dynamic management tools. In prep.). The data may be used and redistributed for free but are not intended or legal use, since they 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 nameing_authority String gov.noaa.pfeg.coastwatch
attribute NC_GLOBAL Northernmost_Northing double 47.0653
attribute NC_GLOBAL project String EcoCast
attribute NC_GLOBAL publisher_email String at
attribute NC_GLOBAL publisher_name String NOAA NMFS SWFSC ERD
attribute NC_GLOBAL publisher_url String
attribute NC_GLOBAL references String,
attribute NC_GLOBAL source_data String CoastWatch West Coast ERDDAP (ncdcOwDly_LonPM180, jplUKMO_OSTIAv201), CMEMS (SEALEVEL_GLO_SLA_MAP_L4_NRT_OBSERVATIONS_008_026), AVISO+ (msla), NOAA Coral Reef Watch (CRW_SST)
attribute NC_GLOBAL sourceUrl String (external link)
attribute NC_GLOBAL Southernmost_Northing double 29.652364600000002
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v70
attribute NC_GLOBAL summary String The Relative Bycatch:Target Catch Probability Product is produced using a data-driven, multi-species predictive habitat modelling framework. First, boosted regression tree models were fit to determine the habitat preferences of the target species, broadbill swordfish (Xiphias gladius), and three bycatch-sensitive species that interact with the California drift gillnet fishery (leatherback sea turtle (Dermochelys coricea), blue shark (Prionace glauca), California sea lion (Zalophus californianus)). Then, individual species weightings were set to reflect the level of bycatch and management concern for each species. Prediction layers for each species were then combined into a single surface by multiplying the layer by the species weighting, summing the layers, and then re-calculating the range of values in the final predictive surface from -1 (low catch & high bycatch probabilities) to 1 (high catch & low bycatch probabilities).
attribute NC_GLOBAL time_coverage_end String 2024-06-13T12:00:00Z
attribute NC_GLOBAL time_coverage_resolution String PD1
attribute NC_GLOBAL time_coverage_start String 2018-05-09T12:00:00Z
attribute NC_GLOBAL title String Relative Bycatch:Target Catch Probability Product (daily), EcoCast Project
attribute NC_GLOBAL Westernmost_Easting double -131.5914
dimension time   double nValues=2066, evenlySpaced=false, averageSpacing=1 day 1h 52m 58s
attribute time _CoordinateAxisType String Time
attribute time actual_range double 1.5258672E9, 1.71828E9
attribute time axis String T
attribute time calendar String gregorian
attribute time coverage_content_type String coordinate
attribute time ioos_category String Time
attribute time long_name String Centered Time
attribute time standard_name String time
attribute time time_origin String 01-JAN-1970 00:00:00
attribute time units String seconds since 1970-01-01T00:00:00Z
dimension latitude   double nValues=71, evenlySpaced=true, averageSpacing=-0.24875621999999997
attribute latitude _CoordinateAxisType String Lat
attribute latitude actual_range double 29.652364600000002, 47.0653
attribute latitude axis String Y
attribute latitude comment String Latitude values are the centers of the grid cells
attribute latitude coverage_content_type String coordinate
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude point_spacing String even
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
attribute latitude valid_max double 48.0
attribute latitude valid_min double 29.0
dimension longitude   double nValues=65, evenlySpaced=true, averageSpacing=0.24875621999999997
attribute longitude _CoordinateAxisType String Lon
attribute longitude actual_range double -131.5914, -115.67100192
attribute longitude axis String X
attribute longitude comment String Longitude values are the centers of the grid cells
attribute longitude coverage_content_type String coordinate
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude point_spacing String even
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
attribute longitude valid_max double -115.0
attribute longitude valid_min double -132.0
variable ecocast   double time, latitude, longitude
attribute ecocast _FillValue double -9999.0
attribute ecocast cell_methods String time: mean (interval: 1.0 day)
attribute ecocast colorBarMaximum String 1.0
attribute ecocast colorBarMinimum String -1.0
attribute ecocast colorBarPalette String RedWhiteBlue
attribute ecocast comment String The relative likelihood of catching target species vs bycatch species given the current species weightings. The values range from -1 to 1, indicating high likelihoods of catching bycatch species and target species, respectively.
attribute ecocast coverage_content_type String modelResult
attribute ecocast ioos_category String Ecology
attribute ecocast long_name String EcoCast Relative Bycatch-Target Catch Probability Product
attribute ecocast units String 1
attribute ecocast valid_max double 1.0
attribute ecocast valid_min double -1.0

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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