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Dataset Title:  [Abalone Recruitment Modules] - Abalone recruitment data from Baja California
and Baja California Sur, Mexico in 2019 (Collaborative Research: Evaluating how
abalone populations in the California Current are structured by the interplay
of large-scale oceanographic forcing and nearshore variability)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_907383_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 date (unitless) ?          "2019-06-18"    "2019-06-25"
 Site (unitless) ?          "El Rosario"    "Natividad"
 Bouy (unitless) ?          "Chinatown"    "Sportfish"
 divers (unitless) ?          "Alex Smith, Fio Mi..."    "Raynier, Eduardo"
 BART_transect (unitless) ?          "BART"    "transect"
 number (unitless) ?          1    7
 depth_f (Depth, feet (ft)) ?          5    41
 camera (unitless) ?          "1"    "none"
 lat (degrees_north) ?          26.77558    29.79086
 longitude (Long, degrees_east) ?          -115.799    -113.7003
  < slider >
 Organism_Identification (unitless) ?          "C. coronatus"    "turban snail"
 Taxonomic_name (unitless) ?          "Arbacia sp"    "Turbininae spp."
 Species_note (unitless) ?          "black urchin"    "new species Fio's ..."
 individual_num (unitless) ?          1    35
 size_mm (millimeters (mm)) ?          "1"    "99"
 size_mm_note (unitless) ?          "between 120-170"    "small, cephalopods..."
 
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 {
  date {
    String long_name "Date";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Bouy {
    String long_name "Bouy";
    String units "unitless";
  }
  divers {
    String long_name "Divers";
    String units "unitless";
  }
  BART_transect {
    String long_name "Bart_transect";
    String units "unitless";
  }
  number {
    Int32 actual_range 1, 7;
    String long_name "Number";
    String units "unitless";
  }
  depth_f {
    Int32 actual_range 5, 41;
    String long_name "Depth";
    String units "feet (ft)";
  }
  camera {
    String long_name "Camera";
    String units "unitless";
  }
  lat {
    Float32 actual_range 26.77558, 29.79086;
    String long_name "Lat";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -115.799, -113.7003;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Organism_Identification {
    String long_name "Organism_identification";
    String units "unitless";
  }
  Taxonomic_name {
    String long_name "Taxonomic_name";
    String units "unitless";
  }
  Species_note {
    String long_name "Species_note";
    String units "unitless";
  }
  individual_num {
    Int32 actual_range 1, 35;
    String long_name "Individual_num";
    String units "unitless";
  }
  size_mm {
    String long_name "Size_mm";
    String units "millimeters (mm)";
  }
  size_mm_note {
    String long_name "Size_mm_note";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.907383.1";
    Float64 Easternmost_Easting -113.7003;
    Float64 geospatial_lon_max -113.7003;
    Float64 geospatial_lon_min -115.799;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:12:14Z (local files)
2024-11-08T06:12:14Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907383_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/907383";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it 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.";
    String sourceUrl "(local files)";
    String summary "Abalone support commercial and recreational fishery, however their population have decline dramatically since 1950's. To understand the recruitment of abalone populations, standarized abalone recruitment modules made of half cinder blocks inside cages were deployed in Baja California and Baja California Sur, Mexico. 12 cages were deployed at three sites (i.e., El Rosario, Isla Natividad and La Bocana) in Mexico. The abundances of abalone and invertebrates found in the cages were checked after 12months. This dataset presents all the information collected from the cages deployed at three sites (El Rosario, Isla Natividad and La Bocana) in Baja California and Baja California Sur, Mexico.";
    String title "[Abalone Recruitment Modules] - Abalone recruitment data from Baja California and Baja California Sur, Mexico in 2019 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)";
    Float64 Westernmost_Easting -115.799;
  }
}

 

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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