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Dataset Title:  Jellyfish Database Initiative: Global records on gelatinous zooplankton for
the past 200 years, collected from global sources and literature (Trophic BATS
project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_526852)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 project_title (dimensionless) ?          "AUS_Jelly_Assess"    "YorkRiverEstry_Sur..."
 sub_project_title (dimensionless) ?          "AUS_Jelly_Assess"    "Zulfiquar"
 owner_dataset (dimensionless) ?          "1984"    "van_derVeer_HW_et_al"
 contact (dimensionless) ?          "AADC"    "mv"
 location_name (dimensionless) ?          "2_miles_east_of_Lu..."    "station_43"
 date (variable) ?          "1/1/05"    "NaN"
 year (unitless) ?          1790    2011
 month (MM) ?          1    12
 day (DD) ?          1    31
 time_local (HH:MM:SS) ?          "0:00:00"    "NaN"
 latitude (degrees_north) ?          -78.5    88.74
  < slider >
 longitude (degrees_east) ?          -180.0    180.0
  < slider >
 taxon (dimensionless) ?          "coronate"    "undefined"
 rank_phylum (dimensionless) ?          "Chordata"    "Tentaculata"
 rank_class (dimensionless) ?          "Appendicularia"    "Tunicata"
 rank_order (dimensionless) ?          "Anthoathecata"    "Trachymedusae"
 rank_family (dimensionless) ?          "Abylidae"    "Zancleopsidae"
 rank_genus (dimensionless) ?          "Abyla"    "octopuncatata"
 rank_species (dimensionless) ?          "?contorta"    "zonaria"
 data_type (dimensionless) ?          "categorical"    "quantitative"
 collection_method (dimensionless) ?          "ROV"    "visual_survey"
 net_opening (meter) ?          0.0    20.0
 net_mesh (millimeter) ?          0.064    3000.0
 depth (m) ?          -10191.48    7632.0
  < slider >
 depth_upper (Depth, meter) ?          0.7    6661.0
 depth_lower (Depth, meter) ?          0.0    6669.0
 count_actual (dimensionless) ?          1    31142929
 density (unknown) ?          -0.01    34010.0
 density_integrated (unknown) ?          0.0    654000.0
 biovolume (milliliters/meter^3) ?          0.0    598.6
 biovolume_integrated (milliliters/meter^2) ?          0.0    6584.545802
 weight_wet (grams/meter^3) ?          0.0    327.725
 weight_dry (grams/meter^3) ?          0.0    4211.17
 presence_absence (dimensionless) ?          "absent"    "present"
 study_type (dimensionless) ?          "Continuous"    "unknown"
 accompanying_ancillary_data (dimensionless) ?          "NaN"    "yes"
 catch_per_effort (kilograms per hectare) ?          0    200000
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  project_title {
    String bcodmo_name "project";
    String description "Main portion of original project name or regional description.";
    String long_name "Project Title";
    String units "dimensionless";
  }
  sub_project_title {
    String bcodmo_name "project";
    String description "Sub-project portion of original project name.  If no sub-project exists, original project name was duplicated in this field.";
    String long_name "Sub Project Title";
    String units "dimensionless";
  }
  owner_dataset {
    String bcodmo_name "person";
    String description "Original owner of data.";
    String long_name "Owner Dataset";
    String units "dimensionless";
  }
  contact {
    String bcodmo_name "responsible_entity";
    String description "Contact details for data access or further information about dataset.";
    String long_name "Contact";
    String units "dimensionless";
  }
  location_name {
    String bcodmo_name "site_descrip";
    String description "Description of sample region.";
    String long_name "Location Name";
    String units "dimensionless";
  }
  date {
    String bcodmo_name "date";
    String description "Date sample was collected.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "variable";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1790, 2011;
    String bcodmo_name "year";
    String description "year in YYYY format";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  month {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "Month of the year";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "MM";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day";
    String description "Day of the month";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "DD";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "Local time of sampling.";
    String long_name "Time Local";
    String units "HH:MM:SS";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -78.5, 88.74;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Sample latitude.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -180.0, 180.0;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Sample longitude.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  taxon {
    String bcodmo_name "taxon";
    String description "Taxonomic grouping.";
    String long_name "Taxon";
    String units "dimensionless";
  }
  rank_phylum {
    String bcodmo_name "phylum";
    String description "Taxonomic phylum name.";
    String long_name "Rank Phylum";
    String units "dimensionless";
  }
  rank_class {
    String bcodmo_name "class";
    String description "Taxonomic class name.";
    String long_name "Rank Class";
    String units "dimensionless";
  }
  rank_order {
    String bcodmo_name "order";
    String description "Taxonomic order name.";
    String long_name "Rank Order";
    String units "dimensionless";
  }
  rank_family {
    String bcodmo_name "family";
    String description "Taxonomic class name.";
    String long_name "Rank Family";
    String units "dimensionless";
  }
  rank_genus {
    String bcodmo_name "genus";
    String description "Taxonomic genus name.";
    String long_name "Rank Genus";
    String units "dimensionless";
  }
  rank_species {
    String bcodmo_name "species";
    String description "Taxonomic species name.";
    String long_name "Rank Species";
    String units "dimensionless";
  }
  data_type {
    String bcodmo_name "datatype";
    String description "Quantitative categorical presence/absence or presence only.";
    String long_name "Data Type";
    String units "dimensionless";
  }
  collection_method {
    String bcodmo_name "sampling_method";
    String description "Brief description of methodology or data synthesis.";
    String long_name "Collection Method";
    String units "dimensionless";
  }
  net_opening {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 20.0;
    String bcodmo_name "unknown";
    String description "Size of collection net opening.";
    String long_name "Net Opening";
    String units "meter";
  }
  net_mesh {
    Float32 _FillValue NaN;
    Float32 actual_range 0.064, 3000.0;
    String bcodmo_name "net_mesh";
    String description "Net mesh size.";
    String long_name "Net Mesh";
    String units "millimeter";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range -10191.48, 7632.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sampling depth.";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  depth_upper {
    Float32 _FillValue NaN;
    Float32 actual_range 0.7, 6661.0;
    String bcodmo_name "depth_min";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Used for determining integrated sample units.";
    String long_name "Depth";
    Float32 missing_value NaN;
    String standard_name "depth";
    String units "meter";
  }
  depth_lower {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 6669.0;
    String bcodmo_name "depth_max";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Used for determining integrated sample units";
    String long_name "Depth";
    Float64 missing_value NaN;
    String standard_name "depth";
    String units "meter";
  }
  count_actual {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 31142929;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Raw counts from respective survey.";
    String long_name "Count Actual";
    String units "dimensionless";
  }
  density {
    Float64 _FillValue NaN;
    Float64 actual_range -0.01, 34010.0;
    String bcodmo_name "density";
    String description "density";
    String long_name "Density";
    String units "unknown";
  }
  density_integrated {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 654000.0;
    String bcodmo_name "abundance";
    String description "Depth integrated density.";
    String long_name "Density Integrated";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "unknown";
  }
  biovolume {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 598.6;
    String bcodmo_name "disp_vol";
    String description "Displacement volume of sample.";
    String long_name "Biovolume";
    String units "milliliters/meter^3";
  }
  biovolume_integrated {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 6584.545802;
    String bcodmo_name "disp_vol";
    String description "Depth integrated biovolume.";
    String long_name "Biovolume Integrated";
    String units "milliliters/meter^2";
  }
  weight_wet {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 327.725;
    String bcodmo_name "biomass";
    String description "Sample wet weight.";
    String long_name "Weight Wet";
    String units "grams/meter^3";
  }
  weight_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4211.17;
    String bcodmo_name "dry_wgt";
    String description "sample dry weight.";
    String long_name "Weight Dry";
    String units "grams/meter^3";
  }
  presence_absence {
    String bcodmo_name "abundance";
    String description "Indication of presence or absence of a targeted species, via 'present' or 'absent'.";
    String long_name "Presence Absence";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "dimensionless";
  }
  study_type {
    String bcodmo_name "brief_desc";
    String description "Text describing type of study in which samples were obtained.";
    String long_name "Study Type";
    String units "dimensionless";
  }
  accompanying_ancillary_data {
    String bcodmo_name "comment";
    String description "Indication of accompanying ancillary data via 'yes' or 'no'.";
    String long_name "Accompanying Ancillary Data";
    String units "dimensionless";
  }
  catch_per_effort {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 200000;
    String bcodmo_name "CPUE";
    String description "Fisheries unit: an indirect measure of the abundance of a target species; also known as catch rate.";
    String long_name "Catch Per Effort";
    String units "kilograms per hectare";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"This information has been synthesized by members of the Global Jellyfish Group
from online databases, unpublished and published datasets. More specific
details may be found in\\u00a0[Lucas, C.J., et al. 2014. Gelatinous zooplankton
biomass in the global oceans: geographic variation and environmental drivers.
Global Ecol. Biogeogr. (DOI: 10.1111/geb.12169) ](\\\\\"http://dmoserv3.bco-
dmo.org/data_docs/JeDI/Lucas_et_al_2014_GEB.pdf\\\\\")in the\\u00a0methods
section.";
    String awards_0_award_nid "54810";
    String awards_0_award_number "OCE-1030149";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1030149";
    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 cdm_data_type "Other";
    String comment 
"JeDI: Jellyfish Database Initiative, associated with the Trophic BATS project 
 PIs: R. Condon, C. Lucas, C. Duarte, K. Pitt 
 version 2015.01.08 
 Note:  The displayed view of this dataset is subject to updates 
 Note:  Duplicate records were removed on 2015.01.08 
 See: <a href=\"http://dmoserv3.bco-dmo.org/jg/serv/BCO-DMO/JeDI/jedi_term_lgnd.html0\" target=\"_blank\">Dataset term legend</a> for full text of abbreviations.";
    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 date_created "2014-08-28T20:39:46Z";
    String date_modified "2018-04-03T21:20:11Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/7191";
    Float64 Easternmost_Easting 180.0;
    Float64 geospatial_lat_max 88.74;
    Float64 geospatial_lat_min -78.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -180.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 7632.0;
    Float64 geospatial_vertical_min -10191.48;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-10-07T16:37:21Z (local files)
2022-10-07T16:37:21Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_526852.html";
    String infoUrl "https://www.bco-dmo.org/dataset/526852";
    String institution "BCO-DMO";
    String keywords "absence, accompanying, accompanying_ancillary_data, actual, ancillary, array, array-data, bco, bco-dmo, biological, biovolume, biovolume_integrated, catch, catch_per_effort, chemical, class, collection, collection_method, comprehensive, contact, count, count_actual, data, data_type, dataset, date, day, density, density_integrated, depth, depth_lower, depth_upper, dmo, dry, effort, erddap, family, genus, integrated, large, latitude, local, location_name, longitude, management, mesh, method, month, name, net, net_mesh, net_opening, oceanography, office, opening, order, owner, owner_dataset, per, phylum, preliminary, presence, presence_absence, project, project_title, rank, rank_class, rank_family, rank_genus, rank_order, rank_phylum, rank_species, species, stewardship, study, study_type, sub, sub_project_title, system, taxon, time, time_local, title, type, weight, weight_dry, weight_wet, wet, year";
    String license "https://www.bco-dmo.org/dataset/526852/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/526852";
    Float64 Northernmost_Northing 88.74;
    String param_mapping "{'526852': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/526852/parameters";
    String people_0_affiliation "University of North Carolina - Wilmington";
    String people_0_affiliation_acronym "UNC-Wilmington";
    String people_0_person_name "Robert Condon";
    String people_0_person_nid "51335";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Western Australia";
    String people_1_person_name "Carlos  M. Duarte";
    String people_1_person_nid "526857";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "National Oceanography Centre";
    String people_2_affiliation_acronym "NOC";
    String people_2_person_name "Cathy  Lucas";
    String people_2_person_nid "526856";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Griffith University";
    String people_3_person_name "Kylie Pitt";
    String people_3_person_nid "526858";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Danie Kinkade";
    String people_4_person_nid "51549";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "Trophic BATS";
    String projects_0_acronym "Trophic BATS";
    String projects_0_description 
"Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, \"How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone\". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean.
This requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea.
The investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components.
Characterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres.";
    String projects_0_end_date "2014-09";
    String projects_0_geolocation "Sargasso Sea, BATS site";
    String projects_0_name "Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea";
    String projects_0_project_nid "2150";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -78.5;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The Jellyfish Database Initiative (JeDI) is a scientifically-coordinated global database dedicated to gelatinous zooplankton (members of the Cnidaria, Ctenophora and Thaliacea) and associated environmental data. The database holds 476,000 quantitative, categorical, presence-absence and presence only records of gelatinous zooplankton spanning the past four centuries (1790-2011) assembled from a variety of published and unpublished sources. Gelatinous zooplankton data are reported to species level, where identified, but taxonomic information on phylum, family and order are reported for all records. Other auxiliary metadata, such as physical, environmental and biometric information relating to the gelatinous zooplankton metadata, are included with each respective entry. JeDI has been developed and designed as an open access research tool for the scientific community to quantitatively define the global baseline of gelatinous zooplankton populations and to describe long-term and large-scale trends in gelatinous zooplankton populations and blooms. It has also been constructed as a future repository of datasets, thus allowing retrospective analyses of the baseline and trends in global gelatinous zooplankton populations to be conducted in the future.";
    String title "Jellyfish Database Initiative: Global records on gelatinous zooplankton for the past 200 years, collected from global sources and literature (Trophic BATS project)";
    String version "1";
    Float64 Westernmost_Easting -180.0;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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.

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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