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

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Clam outplant experiments conducted in Seadrift and Bolinas Lagoon for 2015 Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_701701)
Range: longitude = -122.681 to -122.6531°E, latitude = 37.9065 to 37.92664°N
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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 {
  lagoon {
    String bcodmo_name "site";
    String description "Name of the lagoon";
    String long_name "Lagoon";
    String units "unitless";
  }
  site {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "site";
    String description "Site within the lagoon";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.906503, 37.926639;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of the site";
    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 -122.681003, -122.653096;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of the site";
    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";
  }
  date {
    String bcodmo_name "date";
    String description "Calendar date (yyyy-mm-dd) that tethered crabs were outplanted. Duration of all outplants was 24 hours.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  species_code {
    Byte _FillValue 127;
    Byte actual_range 1, 4;
    String bcodmo_name "taxon_code";
    String description "Species identifier/code";
    String long_name "Species Code";
    String units "unitless";
  }
  species {
    String bcodmo_name "taxon";
    String description "Species or taxon";
    String long_name "Species";
    String units "unitless";
  }
  size {
    Byte _FillValue 127;
    Byte actual_range 2, 12;
    String bcodmo_name "width";
    String description "Carapace width of tethered crab in millimeters";
    String long_name "Size";
    String units "millimeters (mm)";
  }
  outcome_code {
    String bcodmo_name "unknown";
    String description "Outcome identifier/code";
    String long_name "Outcome Code";
    String units "unitless";
  }
  outcome {
    String bcodmo_name "unknown";
    String description "Outcome description";
    String long_name "Outcome";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"We conducted experiments in which groups of clams were outplanted in Seadrift
and adjacent Bolinas Lagoon, CA. Sites were accessed by foot via shore entry.
At each of three sites within each bay, we placed a small section of plastic
mesh to which 15 small clams (generally <10 mm) had been attached.\\u00a0Arrays
were placed just below the sediment surface in shallow subtidal areas (<2 m)
and retrieved 24 hours later. Clams were scored for presence/absence and any
damage or remaining shell fragments.
 
See Turner et al. (2016) Biological Invasions 18: 533-548 for additional
methodological details:  
 Turner, B.C., de Rivera, C.E., Grosholz, E.D., & Ruiz, G.M.
2016.\\u00a0Assessing population increase as a possible outcome to management
of invasive species. Biological Invasions, 18(2),\\u00a0pp 533\\u2013548.
doi:[10.1007/s10530-015-1026-9](\\\\\"https://dx.doi.org/10.1007/s10530-015-1026-9\\\\\")";
    String awards_0_award_nid "699764";
    String awards_0_award_number "OCE-1514893";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1514893";
    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 
"Clam outplants 2015 
 PI: Edwin Grosholz (UC Davis) 
 Co-PI: Catherine de Rivera & Gregory Ruiz (Portland State University)  
 Version: 15 June 2017 
 Note that all Seadrift sites are very close together and thus one lat/lon pair are used to represent all sites within Seadrift.";
    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 "2017-05-30T20:12:06Z";
    String date_modified "2020-01-14T18:22:44Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.701701.1";
    Float64 Easternmost_Easting -122.653096;
    Float64 geospatial_lat_max 37.926639;
    Float64 geospatial_lat_min 37.906503;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -122.653096;
    Float64 geospatial_lon_min -122.681003;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-12-04T01:59:53Z (local files)
2021-12-04T01:59:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_701701.das";
    String infoUrl "https://www.bco-dmo.org/dataset/701701";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, code, data, dataset, date, dmo, erddap, lagoon, latitude, longitude, management, oceanography, office, outcome, outcome_code, preliminary, site, size, species, species_code, time";
    String license "https://www.bco-dmo.org/dataset/701701/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/701701";
    Float64 Northernmost_Northing 37.926639;
    String param_mapping "{'701701': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/701701/parameters";
    String people_0_affiliation "University of California-Davis";
    String people_0_affiliation_acronym "UC Davis";
    String people_0_person_name "Edwin Grosholz";
    String people_0_person_nid "699768";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Portland State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Catherine de Rivera";
    String people_1_person_nid "699771";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Portland State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Gregory Ruiz";
    String people_2_person_nid "471603";
    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 "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Invasive_predator_harvest";
    String projects_0_acronym "Invasive_predator_harvest";
    String projects_0_description 
"The usual expectation is that when populations of plants and animals experience repeated losses to predators or human harvest, they would decline over time. If instead these populations rebound to numbers exceeding their initial levels, this would seem counter-intuitive or even paradoxical. However, for several decades mathematical models of population processes have shown that this unexpected response, formally known as overcompensation, is not only possible, but even expected under some circumstances. In what may be the first example of overcompensation in a marine system, a dramatic increase in a population of the non-native European green crab was recently observed following an intensive removal program. This RAPID project will use field surveys and laboratory experiments to verify that this population explosion results from overcompensation. Data will be fed into population models to understand to what degree populations processes such as cannibalism by adult crabs on juvenile crabs and changes in maturity rate of reproductive females are contributing to or modifying overcompensation. The work will provide important insights into the fundamental population dynamics that can produce overcompensation in both natural and managed populations. Broader Impacts include mentoring graduate trainees and undergraduate interns in the design and execution of field experiments as well as in laboratory culture and feeding experiments. The project will also involve a network of citizen scientists who are involved with restoration activities in this region and results will be posted on the European Green Crab Project website.
This project aims to establish the first example of overcompensation in marine systems. Overcompensation refers to the paradoxical process where reduction of a population due to natural or human causes results in a greater equilibrium population than before the reduction. A population explosion of green crabs has been recently documented in a coastal lagoon and there are strong indications that this may be the result of overcompensation. Accelerated maturation of females, which can accompany and modify the expression of overcompensation has been observed. This RAPID project will collect field data from this unusual recruitment class and conduct targeted mesocosm experiments. These will include population surveys and mark-recapture studies to measure demographic rates across study sites. Laboratory mesocosm studies using this recruitment class will determine size specific mortality. Outcomes will be used in population dynamics models to determine to what degree overcompensation has created this dramatic population increase. The project will seek answers to the following questions: 1) what are the rates of cannibalism by adult green crabs and large juveniles on different sizes of juvenile green crabs, 2) what are the consequences of smaller size at first reproduction for population dynamics and for overcompensation and 3) how quickly will the green crab population return to the levels observed prior to the eradication program five years earlier?";
    String projects_0_end_date "2016-11";
    String projects_0_geolocation "Europe";
    String projects_0_name "RAPID: A rare opportunity to examine overcompensation resulting from intensive harvest of an introduced predator";
    String projects_0_project_nid "699765";
    String projects_0_start_date "2014-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.906503;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Clam outplants in Seadrift and Bolinas Lagoons (Central California coast, shallow subtidal (<2 m depth)) for 2015.";
    String title "Clam outplant experiments conducted in Seadrift and Bolinas Lagoon for 2015";
    String version "1";
    Float64 Westernmost_Easting -122.681003;
    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 2.02
Disclaimers | Privacy Policy | Contact