Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [CPR plankton occurrence 2014-2019] - Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from The CPR Survey in the North Atlantic Ocean from 2014 to 2019 (The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_765141) |
| Information: | Summary
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| FGDC
| ISO 19115
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Attributes {
s {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.38953232e+9, 1.54646082e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Date and time sample was collected (UTC)";
String ioos_category "Time";
String long_name "Event ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "event_ISO_DateTime_UTC";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
eventID {
String bcodmo_name "sample";
String description "CPR Survey unique sample identifier";
String long_name "Event ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
modified_ISO_DateTime_UTC {
String bcodmo_name "ISO_DateTime_UTC";
String description "Last date modified (UTC)";
String long_name "Modified ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String time_precision "1970-01-01T00:00:00Z";
String units "unitless";
}
rightsHolder {
String bcodmo_name "responsible_entity";
String description "entity holding rights for data";
String long_name "Rights Holder";
String units "unitless";
}
institutionID {
String bcodmo_name "responsible_entity";
String description "insitution identifier";
String long_name "Institution ID";
String units "unitless";
}
datasetName {
String bcodmo_name "project";
String description "name of dataset (CPR = Continuous Plankton Recorder)";
String long_name "Dataset Name";
String units "unitless";
}
sampleSizeUnit {
String bcodmo_name "unknown";
String description "sample size units";
String long_name "Sample Size Unit";
String units "meters^3";
}
sampleSizeValue {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 3, 3;
String bcodmo_name "vol_filt";
String description "volume of sample";
String long_name "Sample Size Value";
String units "unitless";
}
fieldNumber {
String bcodmo_name "tow";
String description "CPR Survey tow ID";
String long_name "Field Number";
String units "unitless";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 10.0, 10.0;
String axis "Z";
String bcodmo_name "depth_max";
String description "maximum depth of sampling";
String ioos_category "Location";
String long_name "Maximum Depth In Meters";
String positive "down";
String standard_name "depth";
String units "m";
}
minimumDepthInMeters {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 5, 5;
String bcodmo_name "depth_min";
String description "minimum depth of sampling";
String long_name "Minimum Depth In Meters";
String units "meters";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 36.28, 64.907;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude of sample; north is positive";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String source_name "decimalLatitude";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -74.743, -23.092;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude of sample; east is positive";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String source_name "decimalLongitude";
String standard_name "longitude";
String units "degrees_east";
}
geodeticDatum {
String bcodmo_name "unknown";
String description "EPSG Geodetic location code";
String long_name "Geodetic Datum";
String units "unitless";
}
basisOfRecord {
String bcodmo_name "sampling_method";
String description "method by which sample identification and count were determined";
String long_name "Basis Of Record";
String units "unitless";
}
taxonID {
Int16 _FillValue 32767;
Int16 actual_range 1, 10745;
String bcodmo_name "taxon_code";
String description "CPR Survey’s taxon id";
String long_name "Taxon ID";
String units "unitless";
}
scientificNameID {
Int32 _FillValue 2147483647;
Int32 actual_range 0, 841190;
String bcodmo_name "taxon_code";
String description "APHIA id from WoRMS (http://www.marinespecies.org/)";
String long_name "Scientific Name ID";
String units "unitless";
}
scientificName {
String bcodmo_name "taxon";
String description "Taxonomic name from WoRMS";
String long_name "Scientific Name";
String units "unitless";
}
occurrenceID {
String bcodmo_name "unknown";
String description "CPR Survey unique occurrence identifier";
String long_name "Occurrence ID";
String units "unitless";
}
catalogNumber {
String bcodmo_name "sample";
String description "CPR Survey catalog number";
String long_name "Catalog Number";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
individualCount {
Int32 _FillValue 2147483647;
Int32 actual_range 0, 750000;
String bcodmo_name "count";
String description "number of individuals counts on sample mesh. See Richardson et al (2006) for details.";
String long_name "Individual Count";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Sampling occurred between 5 and 10 meters depth. The sample size was 3 cubic
meters. For complete methodology, refer to Richardson et al (2006).
Data were extracted and zipped from the CPR Survey database using GBIF/IPT
([https://www.gbif.org/ipt](\\\\\"https://www.gbif.org/ipt\\\\\")) v. 2.3.6.
The occurrence.txt table contains rows for every taxon that was identified. To
determine which taxa were looked for but not found, cross-reference the
TaxonId field with the contents of [https://www.dassh.ac.uk/ipt/archive.do?r
=cpr-taxondata](\\\\\"https://www.dassh.ac.uk/ipt/archive.do?r=cpr-taxondata\\\\\")";
String awards_0_award_nid "547834";
String awards_0_award_number "OCE-1154661";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1154661";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String awards_1_award_nid "700314";
String awards_1_award_number "OCE-1657887";
String awards_1_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657887";
String awards_1_funder_name "NSF Division of Ocean Sciences";
String awards_1_funding_acronym "NSF OCE";
String awards_1_funding_source_nid "355";
String awards_1_program_manager "David L. Garrison";
String awards_1_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from North Atlantic Ocean, 2014-2019
PI: D. Johns (MBA)
data version: 2020-05-25
\tNOTE: large file, slow to load";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String dataset_current_state "Final with updates expected";
String date_created "2019-04-17T19:54:48Z";
String date_modified "2020-06-04T17:28:15Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.765141.2";
Float64 Easternmost_Easting -23.092;
Float64 geospatial_lat_max 64.907;
Float64 geospatial_lat_min 36.28;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -23.092;
Float64 geospatial_lon_min -74.743;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 10.0;
Float64 geospatial_vertical_min 10.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T17:13:54Z (local files)
2024-11-23T17:13:54Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141.html";
String infoUrl "https://www.bco-dmo.org/dataset/765141";
String institution "BCO-DMO";
String instruments_0_acronym "CPR";
String instruments_0_dataset_instrument_nid "765150";
String instruments_0_description
"The CPR is a plankton sampling instrument designed to be towed from merchant ships or ships of opportunity on their normal sailings. The CPR is towed at a depth of approximately 10 metres. Water passes through the CPR and plankton are filtered onto a slow-moving band of silk (270 micrometre mesh size) and covered by a second silk. The silks and plankton are then spooled into a storage tank containing formalin. On return to the laboratory, the silk is removed from the mechanism and divided into samples representing 10 nautical miles (19 km) of tow.
CPR samples are analyzed in two ways. Firstly, the Phytoplankton Color Index (PCI) is determined for each sample. The colour of the silk is evaluated against a standard colour chart and given a 'green-ness' value based on the visual discoloration of the CPR silk produced by green chlorophyll pigments; the PCI is a semiquantitative estimate of phytoplankton biomass. In this way the PCI takes into account the chloroplasts of broken cells and small phytoplankton which cannot be counted during the microscopic analysis stage. After determination of the PCI, microscopic analysis is undertaken for each sample, and individual phytoplankton and zooplanktontaxa are identified and counted.
Reid, P.C.; Colebrook, J.M.; Matthews, J.B.L.; Aiken, J.; et al. (2003). \"The Continuous Plankton Recorder: concepts and history, from plankton indicator to undulating recorders\".Progress in Oceanography 58(2-4): 117-175. doi:10.1016/j.pocean.2003.08.002.
Warner, A.J., and Hays, G.C.,; Hays, G (1994). \"Sampling by the Continuous Plankton Recorder survey\". Progress in Oceanography 34(2â€"3): 237â€"256. doi:10.1016/0079-6611(94)90011-6.";
String instruments_0_instrument_name "Continous Plankton Recorder";
String instruments_0_instrument_nid "641833";
String keywords "basis, basisOfRecord, bco, bco-dmo, biological, catalogNumber, chemical, count, data, dataset, datasetName, date, datum, depth, dmo, erddap, event, eventID, field, fieldNumber, geodetic, geodeticDatum, holder, individual, individualCount, institution, institutionID, iso, latitude, longitude, management, maximum, maximumDepthInMeters, meters, minimum, minimumDepthInMeters, modified, modified_ISO_DateTime_UTC, name, number, occurrence, occurrenceID, oceanography, office, preliminary, record, rights, rightsHolder, sample, sampleSizeUnit, sampleSizeValue, scientific, scientificName, scientificNameID, size, taxon, taxonID, time, unit, value";
String license "https://www.bco-dmo.org/dataset/765141/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/765141";
Float64 Northernmost_Northing 64.907;
String param_mapping "{'765141': {'decimalLongitude': 'flag - longitude', 'decimalLatitude': 'flag - latitude', 'maximumDepthInMeters': 'flag - depth', 'event_ISO_DateTime_UTC': 'flag - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/765141/parameters";
String people_0_affiliation "Woods Hole Oceanographic Institution";
String people_0_affiliation_acronym "WHOI";
String people_0_person_name "Peter H. Wiebe";
String people_0_person_nid "50454";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "The Marine Biological Association of the United Kingdom";
String people_1_affiliation_acronym "MBA";
String people_1_person_name "David Johns";
String people_1_person_nid "641840";
String people_1_role "Scientist";
String people_1_role_type "originator";
String people_2_affiliation "The Marine Biological Association of the United Kingdom";
String people_2_affiliation_acronym "MBA";
String people_2_person_name "Martin Edwards";
String people_2_person_nid "641839";
String people_2_role "Project Coordinator";
String people_2_role_type "related";
String people_3_affiliation "The Marine Biological Association of the United Kingdom";
String people_3_affiliation_acronym "MBA";
String people_3_person_name "Derek Broughton";
String people_3_person_nid "765245";
String people_3_role "Data Manager";
String people_3_role_type "related";
String people_4_affiliation "Woods Hole Oceanographic Institution";
String people_4_affiliation_acronym "WHOI BCO-DMO";
String people_4_person_name "Nancy Copley";
String people_4_person_nid "50396";
String people_4_role "BCO-DMO Data Manager";
String people_4_role_type "related";
String project "CPR Plankton Survey";
String projects_0_acronym "CPR Plankton Survey";
String projects_0_description
"NSF award abstract (OCE-1657887):
The Continuous Plankton Recorder (CPR) survey (1931 to present) is the only long-term and ocean basin wide operational survey of plankton in the world. CPR observations are critical in evaluating and quantifying the scale and effects of impacts from climate change, acidification, eutrophication, loss of biodiversity to over fishing as well as providing a \"backbone\" to developing Ecosystem-Based Fisheries Management practices. The required ecosystem observing program includes phytoplankton and zooplankton that are measured by the Continuous Plankton Recorder surveys. These surveys represent some of the longest and most cost effective observing programs in marine systems. This project will significantly contribute to international programs such as the Global Ocean Observing System (GOOS), GEO-BON, the International Oceanographic Commission (IOC), the Scientific Commission on Oceanic Research (SCOR), the International Council for the Exploration of the Sea (ICES), the Partnership for Observation of the Global Oceans (POGO), and the North Pacific Marine Science Organization (PICES). Products from the survey are also being used to construct and validate a new generation of ecosystem, fishery, and climate models.
This award will support the continuation of USA support to help maintain core monitoring of zooplankton and phytoplankton by the CPR routes in the western Atlantic from Iceland down to the eastern margin of the USA. Maintaining the CPRs, their internal mechanisms, and the preparation of the silks is an important part of the work of the survey. Samples cut from the silk that represent ~10 nautical miles are analysed under a microscope and the species identified, all to standard procedures. In the analysis, the color of the silks is assessed visually to a standard scale as the \"Phytoplankton Color Index\". The data will be used to describe the long-term, pelagic variability and diversity of plankton in the NW Atlantic and will help scientists interpret marine biological changes and to distinguish between anthropogenic, climatically forced, and natural plankton variability. The analysis of the CPR data will be directed to incorporate marine management issues and include studies on: large-scale environmental change; biodiversity and invasive species; sustainable use of marine bio-resources; ecosystem health and ocean acidification. All these themes are highly relevant to emerging scientific questions, US marine policy and management interests, and the main societal concerns on the marine environment. Throughout the duration of the project it is envisaged that the data collected will provide invaluable information in addressing these highly topical themes and understanding these impacts on the marine ecosystems of the NW Atlantic.
Note: The project description from the previous award (OCE-1154661) can be found on the NSF website.";
String projects_0_end_date "2022-03";
String projects_0_geolocation "Western North Atlantic Ocean";
String projects_0_name "The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic";
String projects_0_project_nid "547835";
String projects_0_project_website "https://www.mba.ac.uk/fellows/cpr-survey";
String projects_0_start_date "2012-04";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 36.28;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "rightsHolder,institutionID,datasetName,sampleSizeUnit,sampleSizeValue,minimumDepthInMeters,geodeticDatum,basisOfRecord";
String summary "Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from the Marine Biological Association of the UK, the CPR Survey, in the North Atlantic Ocean from Jan. 2014 to Jan. 2019.";
String time_coverage_end "2019-01-02T20:27:00Z";
String time_coverage_start "2014-01-12T13:12:00Z";
String title "[CPR plankton occurrence 2014-2019] - Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from The CPR Survey in the North Atlantic Ocean from 2014 to 2019 (The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic)";
String version "2";
Float64 Westernmost_Easting -74.743;
String xml_source "osprey2erddap.update_xml() v1.5";
}
}
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.