BCO-DMO ERDDAP
Accessing BCO-DMO data

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Dataset Title:	[Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_880760_v2)
Range:	longitude = -124.5588 to -124.0266°E, latitude = 44.33766 to 46.9936°N, depth = 42.0 to 88.0m, time = 2021-10-19T14:48:00Z to 2022-09-22T21:29:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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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 {
  Sample {
    String long_name "Sample";
    String units "unitless";
  }
  Sample_Date {
    String long_name "Sample_date";
    String units "unitless";
  }
  Project {
    String long_name "Project";
    String units "unitless";
  }
  Vessel {
    String long_name "Vessel";
    String units "unitless";
  }
  CruiseID {
    String long_name "Cruiseid";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.33766, 46.9936;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Declat";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -124.5588, -124.0266;
    String axis "X";
    String ioos_category "Location";
    String long_name "Declon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date_PDT {
    String long_name "Date_pdt";
    String units "unitless";
  }
  Time_PDT {
    String long_name "Time_pdt";
    String units "unitless";
  }
  ISO_DateTime_PDT {
    String long_name "Iso_datetime_pdt";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.63465488e+9, 1.66388214e+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";
  }
  Operation {
    String long_name "Operation";
    String units "unitless";
  }
  CTDCast {
    String long_name "Ctdcast";
    String units "unitless";
  }
  VideoDive {
    String long_name "Videodive";
    String units "unitless";
  }
  depth_f {
    Float32 actual_range 23.0, 48.0;
    String long_name "Depth_fa";
    String units "fathoms (fa)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 42.0, 88.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Pen_cm {
    Float32 actual_range 0.0, 72.0;
    String long_name "Pen_cm";
    String units "centimeters (cm)";
  }
  Notes {
    String long_name "Notes";
    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.880760.2";
    Float64 Easternmost_Easting -124.0266;
    Float64 geospatial_lat_max 46.9936;
    Float64 geospatial_lat_min 44.33766;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.0266;
    Float64 geospatial_lon_min -124.5588;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 88.0;
    Float64 geospatial_vertical_min 42.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T15:44:52Z (local files)
2024-11-08T15:44:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_880760_v2.das";
    String infoUrl "https://www.bco-dmo.org/dataset/880760";
    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 46.9936;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.33766;
    String summary "Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. Their high abundances and geological effects make them important in mitigating impacts of nutrient run-off (natural and human-induced), which can exacerbate low oxygen conditions. Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea sp. are both competitors with juveniles and prey for larger Dungeness crab. This project will ground-truth predictions of Neotrypaea's new offshore distribution with video and sample collections. Using box core samples we will document differences in potentially interacting benthic communities within the Neotrypaea beds as compared to areas not colonized by the shrimp. These new data are needed to determine whether the existing species composition is altered by the recruitment of Neotrypaea. We will estimate the shrimp's contribution to benthic oxygen and nutrient fluxes by using aquatic eddy covariance (EC) methods and core incubations in shelf areas with and without abundant shrimp. This dataset includes the sampling locations for the model ground-truthing/community changes (box core collections) and the EC lander deployment and slow core collections. Coastal waters along the OR-WA shelf are subject to growing human related management, extractive, cultural, and recreational activities. This research is particularly needed for commercial fisheries stakeholders in decisions regarding ocean-use planning and be valuable to oyster growers concerned over burrowing shrimp pest management.";
    String time_coverage_end "2022-09-22T21:29:00Z";
    String time_coverage_start "2021-10-19T14:48:00Z";
    String title "[Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf)";
    Float64 Westernmost_Easting -124.5588;
  }
}

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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