BCO-DMO ERDDAP
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Dataset Title:	[Temperature Data From Tomales Bay and Bodega Harbor] - Temperature data recorded using HOBO Pendant MX2201 loggers deployed at 14 sites in Tomales Bay and Bodega Harbor during August 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_924671_v1)
Range:	longitude = -123.0595 to -122.8464°E, time = 2019-08-16T19:00:00Z to 2019-08-29T13:30:00Z
Information:	Summary \| License \| Metadata \| Background \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  site {
    String long_name "Site";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range 38.10505, 38.33343;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -123.0595, -122.8464;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ISO_DateTime_PDT {
    String long_name "Iso_datetime_pdt";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.565982e+9, 1.5670854e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  temp {
    Float32 actual_range 13.12222, 25.13889;
    String long_name "Temp";
    String units "degrees Celsius";
  }
 }
  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.924671.1";
    Float64 Easternmost_Easting -122.8464;
    Float64 geospatial_lon_max -122.8464;
    Float64 geospatial_lon_min -123.0595;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-20T12:41:42Z (local files)
2024-10-20T12:41:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_924671_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/924671";
    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 "To record water temperature, we deployed HOBO Pendant MX2201 loggers (fastened to PVC pipe) in the area from the 14 sites in Tomales and Bodega Harbors from which we collected genetic samples. The pipe was driven into the sediment until the logger was approximately <15 centimeters (cm) above the sediment surface, positioned to rarely be emersed except during low spring tides. We recorded water temperature at 15-minute intervals during a two-week period at all sites from 16 August to 29 August in 2019.";
    String time_coverage_end "2019-08-29T13:30:00Z";
    String time_coverage_start "2019-08-16T19:00:00Z";
    String title "[Temperature Data From Tomales Bay and Bodega Harbor] - Temperature data recorded using HOBO Pendant MX2201 loggers deployed at 14 sites in Tomales Bay and Bodega Harbor during August 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)";
    Float64 Westernmost_Easting -123.0595;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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