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Dataset Title:	[Pacific Substrate Strength on a Broad Scale] - Broad Scale Substrate Characteristics of the Pacific Coast from June of 2022 to July of 2023 (OCE- PRF: Understanding substrate mobility as a disturbance in hard rock marine communities)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_1008814_v1)
Range:	longitude = -123.1503 to -117.2532°E, latitude = 32.8078 to 48.58498°N
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  id latitude longitude scratch_number force_n Y Axis:  id latitude longitude scratch_number force_n Color:  id latitude longitude scratch_number force_n   Constraints Optional Constraint #1 Optional Constraint #2 id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description     != =~ <= >= = < >     != =~ <= >= = < > id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description     != =~ <= >= = < >     != =~ <= >= = < > id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description     != =~ <= >= = < >     != =~ <= >= = < > id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description     != =~ <= >= = < >     != =~ <= >= = < > id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description id site sampling_date data_entry_date latitude longitude scratch_number substrate_name substrate_description force_n wet site_description ")   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 Draw land mask:  under over outline off 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 )

Click on the map to specify a new center point. Zoom:

 

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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 {
  id {
    Int32 actual_range 7001, 7245;
    String long_name "Id";
    String units "unitless";
  }
  site {
    String long_name "Site";
    String units "unitless";
  }
  sampling_date {
    String long_name "Sampling_date";
    String units "unitless";
  }
  data_entry_date {
    String long_name "Data_entry_date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 32.8078, 48.58498;
    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 -123.1503, -117.2532;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  scratch_number {
    Int32 actual_range 1, 47;
    String long_name "Scratch_number";
    String units "unitless";
  }
  substrate_name {
    String long_name "Substrate_name";
    String units "unitless";
  }
  substrate_description {
    String long_name "Substrate_description";
    String units "unitless";
  }
  force_n {
    Float32 actual_range 0.1, 9.5;
    String long_name "Force_n";
    String units "newtons";
  }
  wet {
    String long_name "Wet";
    String units "unitless";
  }
  site_description {
    String long_name "Site_description";
    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.1008814.1";
    Float64 Easternmost_Easting -117.2532;
    Float64 geospatial_lat_max 48.58498;
    Float64 geospatial_lat_min 32.8078;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -117.2532;
    Float64 geospatial_lon_min -123.1503;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-11-07T12:04:59Z (local files)
2026-11-07T12:04:59Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1008814_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1008814";
    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 48.58498;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 32.8078;
    String summary "These data include substrate strength (N) measurements collected from June 2022 to July 2023. Fine scale surveys collected both geological and biological data, measuring rock friability using a mechanical sclerometer and community membership via point sampling in quadrats. Broad scale surveys collected only geologic data, measuring rock friability using a mechanical sclerometer at sites previously sampled by the Multi-Agency Rocky Intertidal Network (MARINe) research consortium. Data were collected to better understand the role of substrate mobility in structuring marine communities. Collection was done by Dr. Alli Cramer, Olivia Bible, Canon Cline, Grace Leuchtenberger, and Casey Smith. Data cleaning and preparation was done by Evan Hopps.";
    String title "[Pacific Substrate Strength on a Broad Scale] - Broad Scale Substrate Characteristics of the Pacific Coast from June of 2022 to July of 2023 (OCE-PRF: Understanding substrate mobility as a disturbance in hard rock marine communities)";
    Float64 Westernmost_Easting -123.1503;
  }
}

 

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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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