ERDDAP > tabledap > Make A Graph

Dataset Title:	[Squidpop Assays 2021] - Results from predation assays (squidpops) conducted along rocky reefs of the Western coast of San Cristobal, Galapagos from June to November 2021 to determine fish predation intensity across a spatial and temporal temperature gradient (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_894249_v1)
Range:	longitude = -89.82056 to -85.58444°E, depth = 2.0 to 11.0m, time = 2021-06-29T17:00:00Z to 2021-11-15T17:56:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time Latitude longitude depth Temperature Squidpop Eaten Y Axis:  time Latitude longitude depth Temperature Squidpop Eaten Color:  time Latitude longitude depth Temperature Squidpop Eaten   Constraints Optional Constraint #1 Optional Constraint #2 Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2     != =~ <= >= = < >     != =~ <= >= = < > Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2     != =~ <= >= = < >     != =~ <= >= = < > Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2     != =~ <= >= = < >     != =~ <= >= = < > Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2     != =~ <= >= = < >     != =~ <= >= = < > Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2 Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2 Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2 Year Month Date Time_Local ISO_DateTime_Local time Code1 Locality Latitude longitude Season Habitat depth Temperature Squidpop Eaten Code2 ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Time range:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Year {
    String long_name "Year";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Time_Local {
    String long_name "Time_local";
    String units "unitless";
  }
  ISO_DateTime_Local {
    String long_name "Iso_datetime_local";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.624986e+9, 1.63699896e+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";
  }
  Code1 {
    String long_name "Code1";
    String units "unitless";
  }
  Locality {
    String long_name "Locality";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range -0.926667, -0.702778;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -89.82056, -85.58444;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Season {
    String long_name "Season";
    String units "unitless";
  }
  Habitat {
    String long_name "Habitat";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2.0, 11.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Temperature {
    Int32 actual_range 18, 25;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Squidpop {
    Int32 actual_range 1, 25;
    String long_name "Squidpop";
    String units "unitless";
  }
  Eaten {
    Int32 actual_range 0, 1;
    String long_name "Eaten";
    String units "unitless";
  }
  Code2 {
    String long_name "Code2";
    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.894249.1";
    Float64 Easternmost_Easting -85.58444;
    Float64 geospatial_lon_max -85.58444;
    Float64 geospatial_lon_min -89.82056;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 11.0;
    Float64 geospatial_vertical_min 2.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-09-21T03:26:06Z (local files)
2024-09-21T03:26:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_894249_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/894249";
    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 "This dataset contains results from predation assays (squidpops) to determine fish predation intensity across a spatial and temporal gradient of temperature. Assays were conducted between June and November 2021 at six locations of rocky reefs along the Western coast of San Cristobal, the eastern Island of the Galapagos Archipelago.";
    String time_coverage_end "2021-11-15T17:56:00Z";
    String time_coverage_start "2021-06-29T17:00:00Z";
    String title "[Squidpop Assays 2021] - Results from predation assays (squidpops) conducted along rocky reefs of the Western coast of San Cristobal, Galapagos from June to November 2021 to determine fish predation intensity across a spatial and temporal temperature gradient (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems)";
    Float64 Westernmost_Easting -89.82056;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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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