Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [Bulk SIA of gelatinous zooplankton] - Bulk tissue stable isotope analysis of zooplankton samples collected by MOCNESS from R/V Sally Ride and R/V Roger Revelle cruises in the southern California Current Ecosystem from 2020- 2023 (Resolving vertical trophic linkages between surface and deep pelagic food webs) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_971975_v1) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Files
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Attributes {
s {
specimen_number {
Float32 actual_range 12.0, 9858.0;
String long_name "Specimen_number";
String units "unitless";
}
phylum {
String long_name "Phylum";
String units "unitless";
}
genus {
String long_name "Genus";
String units "unitless";
}
best_taxonomic_ID {
String long_name "Best_taxonomic_id";
String units "unitless";
}
tow {
Int32 actual_range 1, 14;
String long_name "Tow";
String units "unitless";
}
net {
Int32 actual_range 0, 9;
String long_name "Net";
String units "unitless";
}
Date_UTC {
String long_name "Date_utc";
String units "unitless";
}
year {
String long_name "Year";
String units "unitless";
}
month {
String long_name "Month";
String units "unitless";
}
day {
String long_name "Day";
String units "unitless";
}
specimen_count {
Int32 actual_range 1, 319;
String long_name "Specimen_count";
String units "number of individuals";
}
EA_mass {
Float32 actual_range 0.38, 4.0;
String long_name "Ea_mass";
String units "milligrams";
}
nitrogen_ug {
Float32 actual_range 5.07, 200.6;
String long_name "Nitrogen_ug";
String units "micrograms";
}
d15N_bulk {
Float32 actual_range 3.3, 17.8;
String long_name "D15n_bulk";
String units "parts per thousand";
}
carbon_ug {
Float32 actual_range 19.22, 979.79;
String long_name "Carbon_ug";
String units "micrograms";
}
d13C_bulk {
Float32 actual_range -24.3, -15.7;
String long_name "D13c_bulk";
String units "parts per thousand";
}
sia_lab {
String long_name "Sia_lab";
String units "unitless";
}
SIA_reproducibility {
Float32 actual_range 0.2, 0.4;
String long_name "Sia_reproducibility";
String units "parts per thousand";
}
length_type {
String long_name "Length_type";
String units "unitless";
}
median_length_mm {
Float32 actual_range 5.0, 165.0;
String long_name "Median_length_mm";
String units "millimeters";
}
taxa_wmd_rounded_25_m {
Int32 actual_range 175, 1025;
String long_name "Taxa_wmd_rounded_25_m";
String units "m";
}
min_depth_m {
Int32 actual_range 0, 2024;
String long_name "Min_depth_m";
String units "meters";
}
max_depth_m {
Int32 actual_range 50, 3001;
String long_name "Max_depth_m";
String units "meters";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Int32 actual_range 25, 2499;
String axis "Z";
String ioos_category "Location";
String long_name "Mean_depth_m";
String positive "down";
String standard_name "depth";
String units "m";
}
latitude {
String _CoordinateAxisType "Lat";
Float32 actual_range 30.13, 33.79;
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 -125.0, -118.33;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
sampling_location {
String long_name "Sampling_location";
String units "unitless";
}
sampling_time {
String long_name "Sampling_time";
String units "unitless";
}
season {
String long_name "Season";
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.971975.1";
Float64 Easternmost_Easting -118.33;
Float64 geospatial_lat_max 33.79;
Float64 geospatial_lat_min 30.13;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -118.33;
Float64 geospatial_lon_min -125.0;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 2499.0;
Float64 geospatial_vertical_min 25.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2025-09-15T19:47:37Z (local files)
2025-09-15T19:47:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_971975_v1.html";
String infoUrl "https://osprey.bco-dmo.org/dataset/971975";
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 33.79;
String sourceUrl "(local files)";
Float64 Southernmost_Northing 30.13;
String summary "We estimated the trophic positions of abundant gelatinous zooplankton (chaetognaths, cnidarians, ctenophores, molluscs, and pelagic tunicates) in the southern California Current Ecosystem using stable carbon and nitrogen isotope analysis. Gelatinous zooplankton were collected on four research cruises on the R/V Sally Ride and R/V Roger Revelle between 2020 and 2023 and from 0 to 3,000 meters depth using a 10-square-meter Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). 561 samples of gelatinous zooplankton from thirteen taxonomic groups were chosen for bulk tissue stable isotope analysis. An additional twenty samples from seven gelatinous genera were chosen for nitrogen compound-specific isotope analysis of amino acids because they were abundant across our region and represented a range of hypothesized feeding guilds and depth habitats (0 – 1,025 meters). Gelatinous zooplankton were briefly thawed to remove visible gut contents using forceps and a scalpel. Samples were then lyophilized and homogenized. To ensure sufficient sample mass for stable isotope analysis, samples often contained multiple individuals from the same net, taxonomic group, and size class. The number of individuals per sample was typically fewer than 100, with a larger number of individuals pooled for some samples of Pantachogon spp. and Hormiphora spp. Samples were processed for bulk tissue stable isotope analysis at the University of Hawaii at Manoa and the University of California Merced. This dataset includes the bulk tissue stable isotope measurements of carbon and nitrogen as well as specimen metadata (e.g., animal body size, collection location/time).";
String title "[Bulk SIA of gelatinous zooplankton] - Bulk tissue stable isotope analysis of zooplankton samples collected by MOCNESS from R/V Sally Ride and R/V Roger Revelle cruises in the southern California Current Ecosystem from 2020-2023 (Resolving vertical trophic linkages between surface and deep pelagic food webs)";
Float64 Westernmost_Easting -125.0;
}
}
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.
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.