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Dataset Title:  [Effects of early-life diet on mortality of juvenile Nucella canaliculata] -
Effects of early-life diet on mortality of juvenile Nucella canaliculata
quantified in the laboratory after 3 months on experimental diets (Coastal
mosaics of local adaptation and the eco-evolutionary dynamics of a marine
predator-prey interaction)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_918401_v1)
Range: longitude = -123.0781 to -121.9291°E
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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Constraints ? Optional
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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.")
 
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    [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 {
  Family {
    String long_name "Family";
    String units "unitless";
  }
  Population {
    String long_name "Population";
    String units "unitless";
  }
  Site_Latitude {
    Float32 actual_range 36.44758, 38.32352;
    String long_name "Site_latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -123.0781, -121.9291;
    String axis "X";
    String ioos_category "Location";
    String long_name "Site_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Three_Month_Mortality {
    Float32 actual_range 21.33, 92.5;
    String long_name "Three_month_mortality";
    String units "percent (%)";
  }
 }
  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.918401.1";
    Float64 Easternmost_Easting -121.9291;
    Float64 geospatial_lon_max -121.9291;
    Float64 geospatial_lon_min -123.0781;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:13:35Z (local files)
2024-11-08T06:13:35Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_918401_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/918401";
    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 "The field of eco-evolutionary dynamics analyzes the reciprocal impacts that ecological and evolutionary processes have on one another on contemporary timescales. A promising approach for studying eco-evolutionary dynamics is to explore whether variation acting over rapid timescales can impose selection on existing within population-variation in functional traits. The Bodega Marine Reserve population of the Channeled Dogwhelk, Nucella canaliculata, contains a mix of drilling phenotypes. A selection experiment was performed to determine the effects of four early-life diet treatments (thin-shelled Mytilus trossulus mussels, two treatments of M. californianus from two populations known to differ in shell thickness, and acorn barnacles) on N. canaliculata phenotype. Dogwhelks were hatched in the laboratory and mortality of juvenile dogwhelks was quantified in the laboratory after 3 months on the experimental diets.";
    String title "[Effects of early-life diet on mortality of juvenile Nucella canaliculata] - Effects of early-life diet on mortality of juvenile Nucella canaliculata quantified in the laboratory after 3 months on experimental diets (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction)";
    Float64 Westernmost_Easting -123.0781;
  }
}

 

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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