BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  [event logs] - Log of sampling events from R/V Point Sur cruises PS1009 and
PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER
project) (Mechanisms controlling the production and fate of DOM during diatom
blooms)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3693)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruise_name (text) ?          "SBDOM10"    "SBDOM11"
 cruise_id (text) ?          "PS1009"    "PS1103"
 year (unitless) ?          2010    2011
 event (unitless) ?          "201001131251"    "201105161636"
 date_gmt (mm/dd/yy) ?          "04/09/10"    "05/16/11"
 month_gmt (mm) ?          "04"    "05"
 day_gmt (dd) ?          "09"    "18"
 time_gmt (HHMM) ?          "0005"    "2359"
 date_local (mm/dd/yy) ?          "04/09/10"    "05/16/11"
 time_local (HHMM) ?          "0036"    "2351"
 latitude (degrees_north) ?          34.0984    34.43348
  < slider >
 longitude (degrees_east) ?          -120.69275    -119.41123
  < slider >
 sta_id (text) ?          "1"    "TRIX"
 depth (m) ?          1.0    584.0
  < slider >
 activity (text) ?          "BAG-t1"    "TRIXOUT"
 sample (dimensionless) ?          "1-4"    "NaN"
 sample_type (text) ?          "BiB01 breakdown - ..."    "transect 03 no rat..."
 time (ISO Date Time UTC, UTC) ?          2010-04-09T16:30:00Z    2011-05-16T16:36:00Z
  < slider >
 comment (text) ?          "BiB water collecte..."    "worked on cable al..."
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_name {
    String bcodmo_name "Cruise Name";
    String description "Name of the cruise/deployment.";
    String long_name "Cruise Name";
    String units "text";
  }
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "Official cruise identifier.";
    String long_name "Cruise Id";
    String units "text";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2011;
    String bcodmo_name "year";
    String description "Four-digit year. in YYYY format";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  event {
    String bcodmo_name "event";
    String description "Unique event number. in YYYYmmddHHMM format";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "unitless";
  }
  date_gmt {
    String bcodmo_name "date";
    String description "Date, GMT time.";
    String long_name "Date Gmt";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "mm/dd/yy";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "Two-digit month of year, GMT (01 to 12).";
    String long_name "Month Gmt";
    String units "mm";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "Two-digit day of month, GMT (01 to 31).";
    String long_name "Day Gmt";
    String units "dd";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "Time, GMT.";
    String long_name "Time Gmt";
    String units "HHMM";
  }
  date_local {
    String bcodmo_name "date_local";
    String description "Date, local time. Local time = GMT - 7hrs.";
    String long_name "Date Local";
    String units "mm/dd/yy";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "Time, local. Local time = GMT - 7hrs.";
    String long_name "Time Local";
    String units "HHMM";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 34.0984, 34.43348;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude in decimal degrees. North = 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 -120.69275, -119.41123;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude in decimal degrees. East = 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";
  }
  sta_id {
    String bcodmo_name "sta_id";
    String description "Station identification.";
    String long_name "Sta Id";
    String units "text";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 584.0;
    String axis "Z";
    String bcodmo_name "depth_bottom";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Bottom depth.";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  activity {
    String bcodmo_name "activity_and_comments";
    String description 
"Type of sampling activity:
BiB = mesocosm experiment
BAG = DOM consumption bag test
TRIX = Triaxus";
    String long_name "Activity";
    String units "text";
  }
  sample {
    String bcodmo_name "sample";
    String description "Consecutive sample number.";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "dimensionless";
  }
  sample_type {
    String bcodmo_name "sample_type";
    String description "Types of samples collected.";
    String long_name "Sample Type";
    String units "text";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.2708306e+9, 1.30556376e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time (UTC) formatted to ISO8601 standard. T indicates start of time string; Z indicates UTC.";
    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";
  }
  comment {
    String bcodmo_name "comment";
    String description "Free-text comments about the sampling event.";
    String long_name "Comment";
    String units "text";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"CTD, Triaxus, and experimental water sampling occurred from R/V Point Sur in
April 2010 and May 2011.";
    String awards_0_award_nid "54995";
    String awards_0_award_number "OCE-0850857";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0850857";
    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 cdm_data_type "Other";
    String comment 
"Event Logs 
 Project: SBDOM 
 Chief Sci & Contact:  Craig Carlson (UC Santa Barbara, MSI) 
 Co-Chief Sci: Mark Brzezinski (UC Santa Barbara, MSI) 
 Version History: 
   SBDOM11 elog added: 07 July 2014 (current version) 
   Original data:      07 Sept 2012";
    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 "2012-08-08T16:16:20Z";
    String date_modified "2019-03-01T20:12:24Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3693.2";
    Float64 Easternmost_Easting -119.41123;
    Float64 geospatial_lat_max 34.43348;
    Float64 geospatial_lat_min 34.0984;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -119.41123;
    Float64 geospatial_lon_min -120.69275;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 584.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-22T01:19:06Z (local files)
2024-12-22T01:19:06Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3693.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3693";
    String institution "BCO-DMO";
    String keywords "activity, bco, bco-dmo, biological, chemical, comment, cruise, cruise_id, cruise_name, data, dataset, date, date_gmt, date_local, day, day_gmt, depth, depth_bottom, dmo, erddap, event, iso, latitude, local, longitude, management, month, month_gmt, name, oceanography, office, preliminary, sample, sample_type, sta, sta_id, time, time_gmt, time_local, type, year";
    String license "https://www.bco-dmo.org/dataset/3693/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3693";
    Float64 Northernmost_Northing 34.43348;
    String param_mapping "{'3693': {'lat': 'master - latitude', 'depth_bottom': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3693/parameters";
    String people_0_affiliation "University of California-Santa Barbara";
    String people_0_affiliation_acronym "UCSB-MSI";
    String people_0_person_name "Craig Carlson";
    String people_0_person_nid "50575";
    String people_0_role "Chief Scientist";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Barbara";
    String people_1_affiliation_acronym "UCSB-MSI";
    String people_1_person_name "Mark A. Brzezinski";
    String people_1_person_nid "50663";
    String people_1_role "Co-Chief Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Barbara";
    String people_2_affiliation_acronym "UCSB";
    String people_2_person_name "Emma Wear";
    String people_2_person_nid "51542";
    String people_2_role "Student";
    String people_2_role_type "related";
    String people_3_affiliation "University of California-Santa Barbara";
    String people_3_affiliation_acronym "UCSB";
    String people_3_person_name "Laura Windecker";
    String people_3_person_nid "51541";
    String people_3_role "Student";
    String people_3_role_type "related";
    String people_4_affiliation "University of California-Santa Barbara";
    String people_4_affiliation_acronym "UCSB-MSI";
    String people_4_person_name "Elisa Halewood";
    String people_4_person_nid "51543";
    String people_4_role "Data Manager";
    String people_4_role_type "related";
    String people_5_affiliation "Woods Hole Oceanographic Institution";
    String people_5_affiliation_acronym "WHOI BCO-DMO";
    String people_5_person_name "Shannon Rauch";
    String people_5_person_nid "51498";
    String people_5_role "BCO-DMO Data Manager";
    String people_5_role_type "related";
    String project "SBDOM,SBC LTER";
    String projects_0_acronym "SBDOM";
    String projects_0_description 
"This project is also affiliated with the Plumes and Blooms project.
Data:
The following data files have been submitted to BCO-DMO but are not yet available online. Data are restricted until June 2016. Please contact the PI for access prior to public availability:
-- SBDOM10 and SBDOM11 CTD and Niskin bottle data.
The following are available online (see 'Datasets' heading below):
-- SBDOM10 and SBDOM11 cruise plans (available online on deployment pages: PS1009, PS1103)
-- SBDOM10 and SBDOM11 event logs (available online; see 'Datasets' below)
-- Laboratory-based Bloom in a Bottle (BIB) Experiment
-- Laboratory-based Remineralization Experiments
-- SBDOM10 and SBDOM11 data summaries (including CTD data, nutrients, and bacterial production)

Project Description from NSF Award Proposal and Abstract:
Diatom blooms are known to produce prodigious quantities of DOM upon entering nutrient stress with a chemical composition that varies with the type of nutrient limitation (Si or N). This variable composition likely influences the nutritional value of DOM to microbes driving species successions towards functional groups of heterotrophic prokaryotes that are best able to metabolize particular forms of DOM. To date each side of this coupled system of production/consumption has been examined independently. A few studies have examined how limitation by different limiting nutrients affects the chemical character of the DOM produced by phytoplankton, while others have focused on the fate of DOM without detailed understanding of the mechanisms influencing its initial chemical composition.
We propose to investigate the mechanisms determining the character and fate of DOM produced during temperate diatom blooms. Specifically we will investigate how physiological stress on diatoms induced by different limiting nutrients influences the production, chemical composition of DOM and the microbial community structure that respond to it to better understand the mechanisms driving the accumulation and persistence of DOM in marine systems. The research will involve both laboratory and field experiments. The novel aspects of this work are:
1) We will investigate how limitation by either N or Si impacts the quantity and chemical composition of the DOM released by diatoms.
2) Assess how the differences in the chemical composition of the DOM produced under N or Si limitation affect its lability by examining the productivity, growth efficiency and community structure of heterotrophic bacterioplankton responding to the release of substrates.
3) Predicted DOM dynamics based on (1) and (2) will be tested in the field during diatom blooms in the Santa Barbara Channel, California.
While experiments investigating aspects of either 1 or 2 have been conducted successfully in the past (Lancelot, 1983; Billen and Fontigny, 1987; Goldman et al., 1992; Carlson et al.,1999; Cherrier and Bauer, 2004; Conan et al., 2007) ours will be the first study to combine these approaches in an integrated assessment of the mechanisms governing both the production and fate of DOM produced by diatom blooms experiencing limitation by different nutrients.
References:
Lancelot, C. (1983). Factors affecting phytoplankton extracellular release in the Southern Bight of the North Sea. Marine Ecology Progress Series 12: 115-121.
Billen, G. and A. Fontigny (1987). Dynamics of a Phaeocystis -dominated spring bloom in Belgian coastal waters. II. Bacterioplankton dynamics. Mar. Ecol. Prog. Ser. 37: 249-257.
Goldman, J.C., D.A. Hansell and M.R. Dennett (1992). Chemical characterization of three large oceanic diatoms: potential impact on water column chemistry. Marine Ecology Progress Series 88: 257-270.
Carlson, C.A., N.R. Bates, H.W. Ducklow and D.A. Hansell (1999). Estimation of bacterial respiration and growth efficiency in the Ross Sea, Antarctica. Aquatic Microbial Ecology 19: 229-244.
Cherrier, J. and J.E. Bauer (2004). Bacterial utilization of transient plankton-derived dissolved organic carbon and nitrogen inputs in surface ocean waters. Aquatic Microbial Ecology 35(3): 229-241.
Conan, P., M. Sondegaard, T. Kragh, F. Thingstad, M. Pujo-Pay, P.J.l.B. Williams, S. Markager, G. Cauwet, N.H. Borch, D. Evans and B. Rieman (2007). Partitioning of organic production in marine plankton communities: The effects of inorganic nutrient ratios and community composition on new dissolved organic matter. Limnology and Oceanography 52(2): 753-765.";
    String projects_0_end_date "2014-03";
    String projects_0_geolocation "Pacific California, Santa Barbara Channel";
    String projects_0_name "Mechanisms controlling the production and fate of DOM during diatom blooms";
    String projects_0_project_nid "2226";
    String projects_0_start_date "2009-04";
    String projects_1_acronym "SBC LTER";
    String projects_1_description 
"From http://www.lternet.edu/sites/sbc
The Santa Barbara Coastal LTER is located in the coastal zone of southern California near Santa Barbara. It is bounded by the steep east-west trending Santa Ynez Mountains and coastal plain to the north and the unique Northern Channel Islands archipelago to the south. Santa Barbara Coastal Long-Term Ecological Research (SBC) Project is headquartered at the University of California, Santa Barbara, and is part of the National Science Foundation’s (NSF) Long-Term Ecological Research (LTER) Network.
The research focus of SBC LTER is on ecological systems at the land-ocean margin. Although there is increasing concern about the impacts of human activities on coastal watersheds and nearshore marine environments, there have been few long-term studies of the linkages among oceanic, reef, sandy beaches, wetland, and upland habitats. SBC LTER is helping to fill this gap by studying the effects of oceanic and coastal watershed influences on kelp forests in the Santa Barbara Channel located off the coast of southern California. The primary research objective of SBC LTER is to investigate the relative importance of land vs. ocean processes in structuring giant kelp (Macrocystis pyrifera) forest ecosystems for different conditions of land use, climate and ocean influences.
SBC LTER Data: The Santa Barbara Coastal (SBC) LTER data are managed by and available directly from the SBC project data site URL shown above.  If there are any datasets listed below, they are data sets that were collected at or near the SBC LTER sampling locations, and funded by NSF OCE as ancillary projects related to the SBC LTER core research themes. See the SBC LTER Data Overview page for access to data and information about data management policies.";
    String projects_1_geolocation "Southern California Coastal Zone";
    String projects_1_name "Santa Barbara Coastal Long Term Ecological Research site";
    String projects_1_project_nid "2227";
    String projects_1_project_website "https://sbclter.msi.ucsb.edu/";
    String projects_1_start_date "2000-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.0984;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Log of events recorded during SBDOM deployments PS1009 (also known as SBDOM10) and PS1103 (SBDOM11).";
    String time_coverage_end "2011-05-16T16:36:00Z";
    String time_coverage_start "2010-04-09T16:30:00Z";
    String title "[event logs] - Log of sampling events from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project) (Mechanisms controlling the production and fate of DOM during diatom blooms)";
    String version "2";
    Float64 Westernmost_Easting -120.69275;
    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.


 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact