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Dataset Title:  Current meter data from the 5, 6, and 8 meter sites, offshore Calumet Park, La
Jolla, Southern California, April 2014 through November 2016
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_707078)
Range: longitude = -117.281 to -117.2578°E, latitude = 32.81 to 32.8689°N, depth = 1.21 to 8.56m, time = 2014-01-01T00:00:00Z to 2016-11-20T00:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year_season {
    String bcodmo_name "year";
    String description "year and season of data; or site name (Bird Rock or Dike Rock)";
    String long_name "Year Season";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  direction {
    String bcodmo_name "unknown";
    String description "direction of current vector: northward or eastward";
    String long_name "Direction";
    String units "unitless";
  }
  depth_sta {
    Byte _FillValue 127;
    Byte actual_range 5, 8;
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of current profiler";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String standard_name "depth";
    String units "meters";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 32.81, 32.8689;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is positive";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -117.281, -117.2578;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2014, 2016;
    String bcodmo_name "year";
    String description "year of data record";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "years";
  }
  month {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "month of data record";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "months";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day";
    String description "day of data record";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "days";
  }
  hour {
    Byte _FillValue 127;
    Byte actual_range 0, 23;
    String bcodmo_name "hour_gmt";
    String description "hour of data record";
    String long_name "Hour";
    String units "hours";
  }
  min {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "minute_gmt";
    String description "minute of data record";
    String long_name "Min";
    String units "minutes";
  }
  sec {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "seconds_gmt";
    String description "second of data record";
    String long_name "Sec";
    String units "seconds";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3885344e+9, 1.4796e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "date and time formatted based on ISO 8601:2004E; formatted as YYYY-MM-DDTHH:MM:SS.xxZ";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  yrday_utc {
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 365.95833;
    String bcodmo_name "yrday_utc";
    String description "UTC day and decimal time; eg. 326.5 for the 326th day of the year or November 22 at 1200 hours (noon)";
    String long_name "Yrday Utc";
    String units "days";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.21, 8.56;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "current meter depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  current {
    Float32 _FillValue NaN;
    Float32 actual_range -57.77, 40.13;
    String bcodmo_name "curr_speed_abs";
    String description "current speed";
    String long_name "Current";
    String units "centimeters per second (cm/s)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Current profilers, pressure sensors and temperature sensors were mounted on
bottom frames.
 
Refer to the following sampling reports for details:  
[NLT_spring2014_sampling_report.](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/Nearshore_Larval_Transport/NLT_spring2014_sampling_report.pdf\\\\\")  
[NLT_fall2014_sampling_report](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/Nearshore_Larval_Transport/NLT_fall2014_sampling_report.pdf\\\\\")  
[NLT_spring2015_sampling_report](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/Nearshore_Larval_Transport/NLT_spring2015_sampling_report.pdf\\\\\")  
[NLT_fall2015_sampling_report](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/Nearshore_Larval_Transport/NLT_fall2015_sampling_report.pdf\\\\\")  
[NLT_2016_sampling_report](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/Nearshore_Larval_Transport/NLT_2016_sampling_report.pdf\\\\\")";
    String awards_0_award_nid "505563";
    String awards_0_award_number "OCE-1357290";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1357290";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "505564";
    String awards_1_award_number "OCE-1357327";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1357327";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "David L. Garrison";
    String awards_1_program_manager_nid "50534";
    String awards_2_award_nid "676057";
    String awards_2_award_number "OCE-1630474";
    String awards_2_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1630474";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "David L. Garrison";
    String awards_2_program_manager_nid "50534";
    String awards_3_award_nid "676058";
    String awards_3_award_number "OCE-1630459";
    String awards_3_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1630459";
    String awards_3_funder_name "NSF Division of Ocean Sciences";
    String awards_3_funding_acronym "NSF OCE";
    String awards_3_funding_source_nid "355";
    String awards_3_program_manager "David L. Garrison";
    String awards_3_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"current time series: 2014 - 2016 
   Southern California nearshore 
   PI: S. Lentz (WHOI), N. Reyns (USD), J. Pineda (WHOI) 
   version: 2017-07-26 
 	NOTE: large file-slow to load";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2017-06-29T18:46:46Z";
    String date_modified "2020-01-08T14:12:17Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.707078.1";
    Float64 Easternmost_Easting -117.2578;
    Float64 geospatial_lat_max 32.8689;
    Float64 geospatial_lat_min 32.81;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -117.2578;
    Float64 geospatial_lon_min -117.281;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 8.56;
    Float64 geospatial_vertical_min 1.21;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2021-12-04T01:34:16Z (local files)
2021-12-04T01:34:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_707078.das";
    String infoUrl "https://www.bco-dmo.org/dataset/707078";
    String institution "BCO-DMO";
    String instruments_0_acronym "ADCP";
    String instruments_0_dataset_instrument_description "See sampling reports for details.";
    String instruments_0_dataset_instrument_nid "707273";
    String instruments_0_description 
"The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes.
The ADCP works by transmitting \"pings\" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving.
Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/115/";
    String instruments_0_instrument_name "Acoustic Doppler Current Profiler";
    String instruments_0_instrument_nid "405";
    String instruments_0_supplied_name "RDI ADCP (Teledyne Marine), Aquadopp (Nortek International)";
    String keywords "bco, bco-dmo, biological, chemical, current, data, dataset, date, day, depth, depth_sta, direction, dmo, erddap, hour, iso, latitude, longitude, management, min, month, oceanography, office, preliminary, season, sec, time, year, year_season, yrday, yrday_utc";
    String license "https://www.bco-dmo.org/dataset/707078/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/707078";
    Float64 Northernmost_Northing 32.8689;
    String param_mapping "{'707078': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/707078/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Steve Lentz";
    String people_0_person_nid "50422";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI";
    String people_1_person_name "Jesus Pineda";
    String people_1_person_nid "472830";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of San Diego";
    String people_2_affiliation_acronym "USD";
    String people_2_person_name "Nathalie Reyns";
    String people_2_person_nid "505561";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Nearshore larval transport,RAPID_Settlement_Hydrodynamics";
    String projects_0_acronym "Nearshore larval transport";
    String projects_0_description 
"Description from NSF award abstract:
Providing an award for this study will provide essential knowledge required for management of coastal resources. This study addresses near shore cross-shore larval transport processes that operate over wide geographic areas in open coast settings, namely larval transport by wave circulation / Stokes drift, and by internal tidal bores. Larval transport by wave circulation / Stokes drift is a ubiquitous process that has not been studied observationally, and it is not known how internal tidal bores deliver larvae to intertidal habitats. This project will examine near shore (region between 20 m depth and intertidal) physical and biological processes that account for the delivery of larvae to adult habitats. The study system in Southern California shares similarities with most other temperate areas and we will study marine taxa that are widely distributed and successful in a variety of environments.
Recent studies suggest that larval transport in the near shore zone plays a central role in larval dispersal and connectivity of shallow water species. These recent advances, however, have not been matched with process-oriented studies addressing circulation and behavioral processes at the appropriate temporal and spatial scales, and only a few larval transport mechanisms have been considered for near shore open coastlines. Recent advances in our understanding of hydrodynamic processes driving cross-shore flows and growing awareness of the importance of the processes to larval transport, however, make this study timely. The investigators hypothesize that a series of physical and biological events results in the delivery of invertebrate larvae to the intertidal habitat. These events include physical transport due to wave circulation / Stokes drift near the surface and internal tide circulation near the bottom, alteration of behavior for terminal larval stages, and larval use of \"adaptive\" behavioral responses to exploit event-dependent flows. Further, they suggest that the predominance of wave circulation / Stokes drift and internal tide circulation varies seasonally, with internal tidal bores important in spring/summer, when the water column is well-stratified, and wave circulation / Stokes drift more pervasive in fall/winter, coinciding with winter storms. The hypotheses in this study will be tested with estimates of physical transport, larval supply and settlement. These measurements will be combined with use of adaptive sampling to test the dependence of larval vertical distribution on changes in hydrodynamic conditions.
Results from this study will have important ecological implications as wave circulation / Stokes drift and internal motions may represent critical and regular transport mechanisms for larvae of marine organisms that must return to near shore habitats to complete their life cycle, thereby impacting population connectivity and management strategies used by coastal planners (e.g., ecosystem-based fisheries management, placement of Marine Protected Areas).";
    String projects_0_end_date "2016-12";
    String projects_0_geolocation "Southern California";
    String projects_0_name "Nearshore larval transport: physical and biological processes";
    String projects_0_project_nid "472824";
    String projects_0_start_date "2014-01";
    String projects_1_acronym "RAPID_Settlement_Hydrodynamics";
    String projects_1_description 
"NSF Award Abstract:
Understanding how larvae are transported in the coastal ocean is key for characterizing the population fluctuations of marine organisms. Studies demonstrate that larvae of species that inhabit shallow waters can behaviorally respond to changing oceanographic conditions by moving vertically into currents that can promote their transport to coastal, nearshore habitats where they settle to bottom habitats and complete their life cycle. However, the oceanographic mechanisms that promote such transport, and how they might be impacted by infrequent events such as El Niño, are poorly resolved. Given that El Niño events might increase in frequency and magnitude under climate change, it is imperative to assess how El Niño affects larval transport and larval settlement. To this end, this study will use an unprecedented set of nearshore biological and physical measurements spanning pre-El-Niño, during El Niño, and the predicted return to El Niño neutral conditions, to test mechanistically how larval transport and settlement respond in a nearshore coastal environment. This project will also provide educational and research opportunities for students at the University of San Diego, a liberal arts university. At least one laboratory exercise demonstrating the impacts of El Niño on larval transport and settlement will be developed for undergraduate students, and students will be recruited to participate in all aspects of the project to provide them with hands-on research experience. This research will form the basis for the thesis work of at least one M.S. graduate student. Finally, given that the research falls within a Marine Protected Area, results will be broadly disseminated and shared with coastal managers and the CA Department of Fish and Wildlife.
Larval transport and settlement are fundamental processes for understanding the population dynamics of benthic invertebrates. Previous studies and unpublished observations indicate that El Niño events profoundly impact community and population processes, and in Southern California, El Niño effects range from alteration of larval transport and settlement of local populations, to the geographic expansion of subtropical species. This research will test the hypothesis that the current (2015-2016) El Niño event will result in a reduction of barnacle larval transport and settlement in Southern California nearshore habitats. Two mechanisms might be involved; first, a deepening of the thermocline forced by El Niño would result in reduction of larval transport by internal tidal bores, a mechanism that requires shallowing of the thermocline. Second, the distribution of larvae of littoral barnacles would be deeper, more offshore, and less constrained to nearshore habitats during El Niño than in El Niño neutral conditions, resulting in a reduction of nearshore larval abundance and settlement. The effects of El Niño on nearshore circulation, hydrography, larval transport and settlement in Bird Rock, Southern California, will be measured by a) deploying an array of instrumentation to measure temperature, pressure (waves) and currents; b) measuring daily barnacle larval settlement, and; c) assessing cross-shore and depth distribution of invertebrate larvae. These observations will be contrasted with two years of comparable observations taken at Bird Rock in 2014 (El Niño neutral conditions) and 2015 (during El Niño). Additionally, the investigators will measure weekly settlement at Bird Rock, and at Dike Rock, a site 7 km to the north, where previous observations at the end of the 1997/1998 El Niño indicated that barnacle settlement was very high. This will enable the evaluation of the generality of the settlement response as El Niño conditions eclipse, and examination of how settlement varies along a coastline.";
    String projects_1_end_date "2018-02";
    String projects_1_geolocation "Southern California";
    String projects_1_name "RAPID:  Nearshore settlement and hydrodynamics in Southern California during El Nino, and the transition to normal ocean conditions: boom and bust?";
    String projects_1_project_nid "638919";
    String projects_1_start_date "2016-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 32.81;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "min,sec";
    String summary "Current meter data from the 5, 6, and 8 meter sites, offshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016.";
    String time_coverage_end "2016-11-20T00:00:00Z";
    String time_coverage_start "2014-01-01T00:00:00Z";
    String title "Current meter data from the 5, 6, and 8 meter sites, offshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016";
    String version "1";
    Float64 Westernmost_Easting -117.281;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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