BCO-DMO ERDDAP
Accessing BCO-DMO data

Data Access Form

Dataset Title:	[Ti Tf counts] - Initial (Ti) and final (Tf) microsphere counts from Dendraster excentricus feeding incubations with microspheres differing in size or functionalized surface (Collaborative Research: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_1010578_v1)
Information:	Summary \| License \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
Incubation (unitless)	"E"	"K"
Sample_Number (unitless)	15	38
Ti_Tf (unitless)	"Tf"	"Ti"
C_0_5 (count per ml)	18518.52	124074.1
C_1_0 (count per ml)	1851.85	44444.44
C_3_0 (count per ml)	3703.7	22222.22
C_10_0 (count per ml)	16666.67	40740.74
A_1_0 (count per ml)	1851.85	12962.96
P_1_0 (count per ml)	0.0	7407.41
S_1_0 (count per ml)	20370.37	38888.89

Server-side Functions

distinct()

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File type: (more information)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Incubation {
    String long_name "Incubation";
    String units "unitless";
  }
  Sample_Number {
    Int32 actual_range 15, 38;
    String long_name "Sample_number";
    String units "unitless";
  }
  Ti_Tf {
    String long_name "Ti_tf";
    String units "unitless";
  }
  C_0_5 {
    Float32 actual_range 18518.52, 124074.1;
    String long_name "C_0_5";
    String units "count per ml";
  }
  C_1_0 {
    Float32 actual_range 1851.85, 44444.44;
    String long_name "C_1_0";
    String units "count per ml";
  }
  C_3_0 {
    Float32 actual_range 3703.7, 22222.22;
    String long_name "C_3_0";
    String units "count per ml";
  }
  C_10_0 {
    Float32 actual_range 16666.67, 40740.74;
    String long_name "C_10_0";
    String units "count per ml";
  }
  A_1_0 {
    Float32 actual_range 1851.85, 12962.96;
    String long_name "A_1_0";
    String units "count per ml";
  }
  P_1_0 {
    Float32 actual_range 0.0, 7407.41;
    String long_name "P_1_0";
    String units "count per ml";
  }
  S_1_0 {
    Float32 actual_range 20370.37, 38888.89;
    String long_name "S_1_0";
    String units "count per ml";
  }
 }
  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.1010578.1";
    String history 
"2026-10-25T20:03:16Z (local files)
2026-10-25T20:03:16Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1010578_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1010578";
    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 "Marine invertebrate larvae are abundant suspension feeders in planktonic ecosystems, yet their role as predators of marine microbes remains poorly resolved. While bacterivory is well documented in some zooplankton, the capacity of ciliated larvae to ingest picoplankton — and the mechanisms governing this interaction — are largely unknown. Here, we show that larvae of the sand dollar Dendraster excentricus ingest submicron particles (0.5–1.0 micrometers (µm)). Using artificial prey with functionalized surface chemistry, we demonstrate that ingestion of picoplankton-sized prey (1 µm) is influenced by particle surface properties. This dataset includes prey particle concentration in each feeding incubation and supports our gut counts by ensuring equivalent prey field throughout the experimental duration.";
    String title "[Ti Tf counts] - Initial (Ti) and final (Tf) microsphere counts from Dendraster excentricus feeding incubations with microspheres differing in size or functionalized surface (Collaborative Research: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop)";
  }
}

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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