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Dataset Title:  Daily abudnance of four HAB taxa and three grazers at Scripps Pier, 2017-
2020 (SPC)
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Institution:  Scripps Institution of Oceanography   (Dataset ID: spc_hab_daily)
Information:  Summary ? | License ? | Metadata | Background | Data Access Form | Files
Graph Type:  ?
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Y Axis: 
Constraints ? Optional
Constraint #1 ?
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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Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
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Time range:           -   +  
[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 {
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  akashiwo {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 6443.067;
    String ioos_category "Unknown";
    String long_name "Akashiwo";
  chattonella {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 241.3333;
    String ioos_category "Unknown";
    String long_name "Chattonella";
  dinophysis {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1155.6;
    String ioos_category "Unknown";
    String long_name "Dinophysis";
  lingulodinium {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 7586.667;
    String ioos_category "Unknown";
    String long_name "Lingulodinium";
  ciliates {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3457.667;
    String ioos_category "Unknown";
    String long_name "Ciliates";
  nauplii {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 120.0;
    String ioos_category "Unknown";
    String long_name "Nauplii";
  copepods {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5401.0;
    String ioos_category "Unknown";
    String long_name "Copepods";
    String cdm_data_type "Other";
    String comment "Please cite the associated publication when using this data.";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "Kasia M. Kenitz";
    String creator_type "person";
    String history 
"2024-06-13T19:25:36Z (local files)
    String infoUrl "";
    String institution "Scripps Institution of Oceanography";
    String keywords "akashiwo, algal, bloom, camera, chattonella, ciliates, copepods, counts, daily, data, day, dinophysis, hab, harmful, lingulodinium, nauplii, pct, plankton, scripps";
    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 references "K.M. Kenitz, C.R. Anderson, M.L. Carter, E. Eggleston, K. Seech, R. Shipe, J. Smith, E.C. Orenstein, P.J.S. Franks, J.S. Jaffe, A.D. Barton (in review) Environmental and ecological drivers of harmful algal blooms in the Southern California Bight.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Daily record of abudnance of Akashiwo sanguinea, Chattonella spp., Dinophysis spp. and Lingulodinium polyedra, and ciliates, nauplii and copepods as published in Kenitz et al.(in review). The record covers the time period from August 2017 to November 2020, and was generated by automated classification of plankton images collected by the Scripps Plankton Camera (SPC) system at the Scripps Institution of Oceanography pier. Reported abundances are measured in number of organisms detected per day.";
    String title "Daily abudnance of four HAB taxa and three grazers at Scripps Pier, 2017-2020 (SPC)";


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{?query}
For example,,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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