BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Vent gastropod larvae swim tracking data] - Swim behavior tracking of deep- sea vent gastropod larvae in pressure chamber experiments aboard R/V Atlantis cruises AT50-06 and AT50-20 to the East Pacific Rise form Dec 2022 and Feb 2024 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_982238_v1)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

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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 {
  trackID {
    String long_name "Trackid";
    String units "unitless";
  }
  matFilename {
    String long_name "Matfilename";
    String units "unitless";
  }
  Pump {
    Int32 actual_range 5, 8;
    String long_name "Pump";
    String units "unitless";
  }
  session {
    Int32 actual_range 4, 17;
    String long_name "Session";
    String units "unitless";
  }
  partition {
    Int32 actual_range 1, 3;
    String long_name "Partition";
    String units "unitless";
  }
  tracknumber {
    Int32 actual_range 1, 5499;
    String long_name "Tracknumber";
    String units "unitless";
  }
  cruiseID {
    String long_name "Cruiseid";
    String units "unitless";
  }
  StartFrame {
    Int32 actual_range 1190, 49546;
    String long_name "Startframe";
    String units "unitless";
  }
  EndFrame {
    Int32 actual_range 1179, 49545;
    String long_name "Endframe";
    String units "unitless";
  }
  Category {
    String long_name "Category";
    String units "unitless";
  }
  Len {
    Float32 actual_range 0.7333333, 137.8;
    String long_name "Len";
    String units "seconds";
  }
  MeanV {
    Float32 actual_range -0.3732508, 0.1849119;
    String long_name "Meanv";
    String units "centimeters per second (cm/s)";
  }
  StdV {
    Float32 actual_range 0.004348115, 0.1741809;
    String long_name "Stdv";
    String units "centimeters per second (cm/s)";
  }
  MeanSpeed {
    Float32 actual_range 0.02147286, 0.3737037;
    String long_name "Meanspeed";
    String units "centimeters per second (cm/s)";
  }
  StdSpeed {
    Float32 actual_range 0.006318495, 0.1720819;
    String long_name "Stdspeed";
    String units "centimeters per second (cm/s)";
  }
  MeanV_up {
    Float32 actual_range 1.620516e-4, 0.00985321;
    String long_name "Meanv_up";
    String units "centimeters per second (cm/s)";
  }
  MeanV_down {
    Float32 actual_range -0.02123284, -2.043359e-5;
    String long_name "Meanv_down";
    String units "centimeters per second (cm/s)";
  }
 }
  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.982238.1";
    String history 
"2026-08-23T01:10:06Z (local files)
2026-08-23T01:10:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_982238_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/982238";
    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 "These data include particle tracking files from videos of deep-sea gastropod larvae recorded aboard cruises to the East Pacific Rise, as well as a tabular data table describing swim metrics for larvae identified from those tracks. The two experiments aboard R/V Atlantis cruises AT50-06 and AT50-20 were conducted on 2022-12-26 and 2024-02-28, respectively. Larval gastropods were housed in a custom pressure chamber, pressurized using a JASCO rapid-separation high performance liquid chromatography pump, backlit with a CMVision infrared floodlight, and recorded with a Basler Ace near-infrared camera. These data demonstrate the ability of High-Pressure Plankton Observatory (HiPPO) to quantify plankton swimming behaviors at in-situ pressure and are the first recorded observations of larvae of deep-sea vent gastropods swimming at pressure, potentially useful as inputs for larval dispersal models. Data presented are used in Zúñiga Mouret et al. (2025).";
    String title "[Vent gastropod larvae swim tracking data] - Swim behavior tracking of deep-sea vent gastropod larvae in pressure chamber experiments aboard R/V Atlantis cruises AT50-06 and AT50-20 to the East Pacific Rise form Dec 2022 and Feb 2024 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents)";
  }
}

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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