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Dataset Title:	[Neocalanus flemingeri lipid fullness] - Post-diapause Neocalanus flemingeri females morphometric measurements and calculations of lipid fullness and lipid volume taken from the R/V Sikuliaq and the R/V Tiglax in the Northern Gulf of Alaska from 2019-06-30 to 2019-09-13 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_907880_v1)
Range:	longitude = -147.987 to -147.803°E, latitude = 60.278 to 60.535°N
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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 {
  Station {
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 60.278, 60.535;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -147.987, -147.803;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date_collected {
    String long_name "Date_collected";
    String units "unitless";
  }
  Collection_month {
    String long_name "Collection_month";
    String units "unitless";
  }
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Sex {
    String long_name "Sex";
    String units "unitless";
  }
  EdU_sample_ID_number {
    String long_name "Edu_sample_id_number";
    String units "unitless";
  }
  Used_in_EdU_experiments {
    String long_name "Used_in_edu_experiments";
    String units "unitless";
  }
  Length_of_EdU_incubation_in_hours {
    String long_name "Length_of_edu_incubation_in_hours";
    String units "hours";
  }
  Image_number_light_microscope {
    Int32 actual_range 1, 172;
    String long_name "Image_number_light_microscope";
    String units "unitless";
  }
  Date_image_was_taken {
    String long_name "Date_image_was_taken";
    String units "unitless";
  }
  Time_point {
    String long_name "Time_point";
    String units "hours or weeks";
  }
  Time_point_in_days {
    Float32 actual_range 1.0, 32.0;
    String long_name "Time_point_in_days";
    String units "days";
  }
  Prosome_length {
    Float32 actual_range 3.1, 4.3;
    String long_name "Prosome_length";
    String units "millimeters (mm)";
  }
  Prosome_area {
    Float32 actual_range 2.3, 5.0;
    String long_name "Prosome_area";
    String units "square millimeters (mm^2)";
  }
  Lipid_area {
    Float32 actual_range 0.4, 2.7;
    String long_name "Lipid_area";
    String units "square millimeters (mm^2)";
  }
  Lipid_volume {
    Float32 actual_range 0.06, 0.78;
    String long_name "Lipid_volume";
    String units "milligrams (mg)";
  }
  Lipid_fullness_percentage {
    Float32 actual_range 15.4, 57.1;
    String long_name "Lipid_fullness_percentage";
    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.907880.1";
    Float64 Easternmost_Easting -147.803;
    Float64 geospatial_lat_max 60.535;
    Float64 geospatial_lat_min 60.278;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -147.803;
    Float64 geospatial_lon_min -147.987;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T03:11:47Z (local files)
2024-11-14T03:11:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_907880_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/907880";
    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.";
    Float64 Northernmost_Northing 60.535;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.278;
    String summary "Morphometric data on Neocalanus flemingeri females were made on individuals collected in diapause in June and September, 2019 and after incubation in the laboratory for up to 4.5 weeks. Collections were made from depth in Prince William Sound in the Gulf of Alaska during two NGA LTER cruises. After sorting, females were incubated in flasks at 4-6ºC for up to 4.5 weeks. Individuals were removed for imaging and experimental incubations to study oocyte production. Morphometric analysis was used to measure prosome length and area as well as lipid sac area for lipid fullness and lipid volume calculations. Lipid consumption during diapause was minimal and modest initially.";
    String title "[Neocalanus flemingeri lipid fullness] - Post-diapause Neocalanus flemingeri females morphometric measurements and calculations of lipid fullness and lipid volume taken from the R/V Sikuliaq and the R/V Tiglax in the Northern Gulf of Alaska from 2019-06-30 to 2019-09-13 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska)";
    Float64 Westernmost_Easting -147.987;
  }
}

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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