BCO-DMO ERDDAP
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Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt
attribute NC_GLOBAL acquisition_description String GPS positions were sampled every 10 minutes. Velocities were computed as\ncentered differences in position (first differences at endpoints).\n \nThe instruments were deployed by finding kelp plants near the edges of the\nthree study forests that had been detached from the bottom and were freely\ndrifting, and then attaching gps buoys to the plants with 1/4\\u201d\npolypropylene line. The line was generally attached to part of the kelp plant\nnearest the surface. The instruments were then left to record their position\nevery 10 minutes. The buoys were retrieved when they reached the shoreline or\nwhen it appeared they were leaving the Santa Barbara Channel and would thus\nbecome unrecoverable.\n \nMore information about Microstar drifters (manufactured by Pacific Gyre Corp.)\ncan be found in Ohlmann et al., 2005.
attribute NC_GLOBAL awards_0_award_nid String 542227
attribute NC_GLOBAL awards_0_award_number String OCE-1458845
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward?AWD_ID=1458845 (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 Kelp drifter data \n  PI: Carter Ohlmann \n  data version 1: 2018-08-03
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 2018-06-21T19:21:19Z
attribute NC_GLOBAL date_modified String 2018-08-03T21:15:12Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.739111.1
attribute NC_GLOBAL Easternmost_Easting double -119.500015
attribute NC_GLOBAL geospatial_lat_max double 34.472431
attribute NC_GLOBAL geospatial_lat_min double 34.162992
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -119.500015
attribute NC_GLOBAL geospatial_lon_min double -120.449764
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 7.2
attribute NC_GLOBAL geospatial_vertical_min double -589.51
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/739111 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String unknown
attribute NC_GLOBAL instruments_0_dataset_instrument_description String More information about Microstar drifters (manufactured by Pacific Gyre Corp.) can be found in Ohlmann et al., 2005.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 743171
attribute NC_GLOBAL instruments_0_description String No relevant match in BCO-DMO instrument vocabulary.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/999/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String unknown
attribute NC_GLOBAL instruments_0_instrument_nid String 575
attribute NC_GLOBAL instruments_0_supplied_name String Microstar drifter
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, iso, latitude, longitude, management, matime, oceanography, office, preliminary, time, time2, u, v
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/739111/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/739111 (external link)
attribute NC_GLOBAL Northernmost_Northing double 34.472431
attribute NC_GLOBAL param_mapping String {'739111': {'lat': 'master - latitude', 'z': 'master - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/739111/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_0_affiliation_acronym String UCSB-ERI
attribute NC_GLOBAL people_0_person_name String Carter Ohlmann
attribute NC_GLOBAL people_0_person_nid String 542222
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 Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_1_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_1_person_name String Amber York
attribute NC_GLOBAL people_1_person_nid String 643627
attribute NC_GLOBAL people_1_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL project String Linking Kelp to Beaches
attribute NC_GLOBAL projects_0_acronym String Linking Kelp to Beaches
attribute NC_GLOBAL projects_0_description String This project is affiliated with the Santa Barbara Coastal LTER project.\nDescription from NSF award abstract:\nPrimary producers, such as plants and algae, form the basis of most food webs and their productivity and fate fundamentally shape ecosystems. Often, however, food and other resources are delivered to a food web from an outside source, providing a subsidy to the recipient ecosystem. Understanding these types of trophic connections and exchanges between ecosystems is necessary for predicting how food webs may respond to change, whether environmental or anthropogenic. Despite their potential importance, quantitative evaluations of cross-ecosystem material fluxes, variation of these fluxes in time and space, and ecological responses of recipient communities are lacking, particularly for marine ecosystems. By investigating links between a source ecosystem, kelp forests, and a recipient ecosystem, sandy beaches, this project will expand and transform our understanding of cross-ecosystem fluxes in the coastal ocean. Nearshore kelp forests are highly productive marine ecosystems characterized by large seasonal and interannual variations in net primary production (NPP). More than 90% of kelp forest NPP is exported to adjacent ecosystems including the intertidal zone. Lacking attached plants and algae, sandy beach ecosystems near kelp forests depend heavily on imported drift kelp (wrack) to support complex and diverse food webs. Although sandy beaches are a dominant shoreline type along all U.S. coasts, provide habitat and prey for wildlife, including endangered species, and are highly valued by society as recreational and cultural resources that drive vibrant coastal economies, they receive little ecological study compared to other shoreline types. This lack of knowledge hinders the conservation and management of beaches as ecosystems. Perched on the narrow rim between land and sea, beaches are highly vulnerable to climate change, particularly sea level rise, and will be impacted by changes in climate, as will kelp forests. This project integrates biological and physical approaches to achieve an understanding of the fate and transport of exported kelp, and how variability in this resource subsidy shapes the community structure and function of recipient beach ecosystems. Graduate and undergraduate students will be integral members of the research team, receiving scientific training and mentoring in coastal marine ecology and in public outreach and education. The training and participation of local residents and coastal managers in regular shoreline surveys for beached kelp plants will provide an essential research component of the study and enhance public awareness of scientific research, coastal ecology and the role of links between kelp forest and beach ecosystems. The results of this project will provide new insights into the dynamics of connectivity between coastal marine ecosystems that can be applied to their conservation and management.\nThe project seeks to understand trophic connectivity between a donor ecosystem, kelp forests, and a recipient ecosystem, sandy beaches, with two primary goals:\n1) an evaluation of how variation in kelp wrack input affects patterns and processes in beach ecosystems and\n2) a quantitative understanding of trophic connectivity through physical transport and input of drift kelp biomass from kelp forests to sandy beaches.\nThe project will begin with two years of intensive work at a well-studied kelp forest in the Santa Barbara Channel, Mohawk Reef, and along 10 km of adjacent coastline, where the research team will measure intertidal community structure over time in response to variability in kelp inputs. To assess effects of variation in wrack input on ecosystem function, they will also measure kelp consumption and secondary production rates of intertidal consumers on adjacent beaches. They will directly observe fate and transport of kelp using complimentary approaches: 1) tracking kelp plants tagged at Mohawk Reef using drifters with GPS; and 2) tagging large numbers of kelp plants (2000) with \"drift cards\" at Mohawk Reef for recovery by the project team and trained volunteer beachcombers. Ending distributions of recovered drift cards and drifter tracks along the shoreline will then be computed. These data will be used to inform and validate a kelp forest-to-beach kelp transport model based on numerical simulations of coastal surface currents from the Regional Oceanic Modeling System (ROMS). Using predicted kelp beaching rates from this model run regionally, the investigators will then sample community structure and wrack biomass at a larger set of beaches spanning 100 km of the southern California shoreline to test the generality of research findings. This combination of fate and transport observations, beach community surveys and process measurements, and modeling will allow the investigators to characterize temporal variability in kelp subsidy inputs and the consequences of this variability for community structure and function of recipient beach ecosystems.
attribute NC_GLOBAL projects_0_end_date String 2019-03
attribute NC_GLOBAL projects_0_geolocation String Santa Barbara Channel, California, USA 34 N, 119 W
attribute NC_GLOBAL projects_0_name String Linking nearshore kelp forest dynamics to sandy beach ecosystems
attribute NC_GLOBAL projects_0_project_nid String 542223
attribute NC_GLOBAL projects_0_start_date String 2015-04
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 34.162992
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Kelp plants were tagged monthly with drifters in the Santa Barbara Channel between November of 2015 and December of 2017.  This dataset contains GPS positions of freely drifting kelp plants (nominally) every 10 minutes.  Tagged kelp plants begin at one of three kelp forests (Mohawk, Hope Ranch, or Isla Vista) off the Santa Barbara coast.
attribute NC_GLOBAL time_coverage_end String 2017-10-13T21:50Z
attribute NC_GLOBAL time_coverage_start String 2015-11-30T17:10Z
attribute NC_GLOBAL title String Data from freely drifting kelp plants tagged with drifters in the Santa Barbara Channel between November of 2015 and December of 2017
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -120.449764
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable id int
attribute id _FillValue int 2147483647
attribute id actual_range int 1, 20000049
attribute id bcodmo_name String Sensor_Id
attribute id description String drifter id
attribute id long_name String Id
attribute id units String unitless
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 34.162992, 34.472431
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
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 -120.449764, -119.500015
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
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
variable matime double
attribute matime _FillValue double NaN
attribute matime actual_range double 736298.7153, 736981.9097
attribute matime bcodmo_name String DateTime
attribute matime description String Matlab datenum data type
attribute matime long_name String Matime
attribute matime units String unitless
variable u float
attribute u _FillValue float NaN
attribute u actual_range float -76.05, 286.03
attribute u bcodmo_name String u
attribute u description String u velocity
attribute u long_name String U
attribute u nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/LCEWZZ01/ (external link)
attribute u units String centimeters per second (cm/s)
variable v float
attribute v _FillValue float NaN
attribute v actual_range float -33.9, 86.93
attribute v bcodmo_name String v
attribute v description String v velocity
attribute v long_name String V
attribute v nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/LCNSZZ01/ (external link)
attribute v units String centimeters per second (cm/s)
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double -589.51, 7.2
attribute depth axis String Z
attribute depth bcodmo_name String depth
attribute depth description String water depth interpolated from bathymetry data to each drifter position (negative values are beneath the sea surface)
attribute depth ioos_category String Location
attribute depth long_name String Z
attribute depth nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable date String
attribute date bcodmo_name String date
attribute date description String date in format yyyy-mm-dd
attribute date long_name String Date
attribute date nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute date time_precision String 1970-01-01
attribute date units String unitlesss
variable time2 String
attribute time2 bcodmo_name String time
attribute time2 description String time in format HH:MM
attribute time2 long_name String Time
attribute time2 nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/ (external link)
attribute time2 units String unitless
variable time double
attribute time _CoordinateAxisType String Time
attribute time actual_range double 1.4489034E9, 1.5079314E9
attribute time axis String T
attribute time bcodmo_name String ISO_DateTime_UTC
attribute time description String timestamp (UTC) in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MMZ
attribute time ioos_category String Time
attribute time long_name String ISO Date Time UTC
attribute time nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ (external link)
attribute time source_name String ISO_DateTime_UTC
attribute time standard_name String time
attribute time time_origin String 01-JAN-1970 00:00:00
attribute time time_precision String 1970-01-01T00:00Z
attribute time units String seconds since 1970-01-01T00:00:00Z

 
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