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Dataset Title:	[SR2114 MOCNESS Net Data] - MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022 (Collaborative Research: Multiyear autonomous measurement of N-loss in the ETNP ODZ)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_930162_v1)
Range:	longitude = -114.6664 to -89.14579°E, latitude = 8.65747 to 21.86359°N, depth = 13.67656 to 1033.005m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Station Event MOC_Num NBf Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult Y Axis:  Station Event MOC_Num NBf Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult Color:  Station Event MOC_Num NBf Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult   Constraints Optional Constraint #1 Optional Constraint #2 Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult     != =~ <= >= = < >     != =~ <= >= = < > Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult     != =~ <= >= = < >     != =~ <= >= = < > Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult     != =~ <= >= = < >     != =~ <= >= = < > Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult     != =~ <= >= = < >     != =~ <= >= = < > Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult Station Event MOC_Num Date NBf Stratum Distance Density00 depth latitude longitude Sbox0Mm_Kg Sal00 T090C Gsw_saA0 Gsw_ctA0 Biovolume Larval_Abundance Auxis_sp Benthosema_panamense Bregmaceros_bathymaster Cyclothone_sp Diaphus_pacificus Diogenichthys_laternatus Dormitator_latifrons Ophidion_sp Opisthonema_spp Syacium_spp Vinciguerria_lucetia Preflexion Flexion Postflexion Transformation Juv_Adult ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station {
    Int32 actual_range 11, 47;
    String long_name "Station";
    String units "unitless";
  }
  Event {
    Int32 actual_range 1, 6;
    String long_name "Event";
    String units "unitless";
  }
  MOC_Num {
    Int32 actual_range 1, 8;
    String long_name "Moc_num";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  NBf {
    Int32 actual_range 1, 9;
    String long_name "Nbf";
    String units "unitless";
  }
  Stratum {
    String long_name "Stratum";
    String units "unitless";
  }
  Distance {
    Float32 actual_range 431.2, 4251.52;
    String long_name "Distance";
    String units "kilometers (km)";
  }
  Density00 {
    Float32 actual_range 1020.346, 1032.159;
    String long_name "Density00";
    String units "grams per kilogram (g/kg)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 13.67656, 1033.005;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depsm";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 8.65747, 21.86359;
    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 -114.6664, -89.14579;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Sbox0Mm_Kg {
    Float32 actual_range 0.166131, 224.1395;
    String long_name "Sbox0mm_kg";
    String units "micromoles per kilogram (umol/kg)";
  }
  Sal00 {
    Float32 actual_range 32.5712, 34.89972;
    String long_name "Sal00";
    String units "PSU";
  }
  T090C {
    Float32 actual_range 4.593546, 29.19674;
    String long_name "T090c";
    String units "degrees Celsius";
  }
  Gsw_saA0 {
    Float32 actual_range 32.72566, 35.06563;
    String long_name "Gsw_saa0";
    String units "degrees Celsius";
  }
  Gsw_ctA0 {
    Float32 actual_range 4.508239, 29.28513;
    String long_name "Gsw_cta0";
    String units "PSU";
  }
  Biovolume {
    Int32 actual_range 1, 838;
    String long_name "Biovolume";
    String units "milliliters per 1000 cubic meters";
  }
  Larval_Abundance {
    Float32 actual_range 0.0, 1111.429;
    String long_name "Larval_abundance";
    String units "larvae per 1000 cubic meters";
  }
  Auxis_sp {
    Float32 actual_range 0.0, 66.36363;
    String long_name "Auxis_sp";
    String units "larvae per 1000 cubic meters";
  }
  Benthosema_panamense {
    Float32 actual_range 0.0, 747.1429;
    String long_name "Benthosema_panamense";
    String units "larvae per 1000 cubic meters";
  }
  Bregmaceros_bathymaster {
    Float32 actual_range 0.0, 16.80045;
    String long_name "Bregmaceros_bathymaster";
    String units "larvae per 1000 cubic meters";
  }
  Cyclothone_sp {
    Float32 actual_range 0.0, 28.0;
    String long_name "Cyclothone_sp";
    String units "larvae per 1000 cubic meters";
  }
  Diaphus_pacificus {
    Float32 actual_range 0.0, 95.20254;
    String long_name "Diaphus_pacificus";
    String units "larvae per 1000 cubic meters";
  }
  Diogenichthys_laternatus {
    Float32 actual_range 0.0, 443.7739;
    String long_name "Diogenichthys_laternatus";
    String units "larvae per 1000 cubic meters";
  }
  Dormitator_latifrons {
    Float32 actual_range 0.0, 117.1429;
    String long_name "Dormitator_latifrons";
    String units "larvae per 1000 cubic meters";
  }
  Ophidion_sp {
    Float32 actual_range 0.0, 88.46664;
    String long_name "Ophidion_sp";
    String units "larvae per 1000 cubic meters";
  }
  Opisthonema_spp {
    Float32 actual_range 0.0, 404.5807;
    String long_name "Opisthonema_spp";
    String units "larvae per 1000 cubic meters";
  }
  Syacium_spp {
    Float32 actual_range 0.0, 27.4292;
    String long_name "Syacium_spp";
    String units "larvae per 1000 cubic meters";
  }
  Vinciguerria_lucetia {
    Float32 actual_range 0.0, 204.2553;
    String long_name "Vinciguerria_lucetia";
    String units "larvae per 1000 cubic meters";
  }
  Preflexion {
    Float32 actual_range 0.0, 11.42857;
    String long_name "Preflexion";
    String units "larvae per 1000 cubic meters";
  }
  Flexion {
    Float32 actual_range 0.0, 728.5714;
    String long_name "Flexion";
    String units "larvae per 1000 cubic meters";
  }
  Postflexion {
    Float32 actual_range 0.0, 447.324;
    String long_name "Postflexion";
    String units "larvae per 1000 cubic meters";
  }
  Transformation {
    Float32 actual_range 0.0, 279.1489;
    String long_name "Transformation";
    String units "larvae per 1000 cubic meters";
  }
  Juv_Adult {
    Float32 actual_range 0.0, 88.21799;
    String long_name "Juv_adult";
    String units "larvae per 1000 cubic meters";
  }
 }
  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.930162.1";
    Float64 Easternmost_Easting -89.14579;
    Float64 geospatial_lat_max 21.86359;
    Float64 geospatial_lat_min 8.65747;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -89.14579;
    Float64 geospatial_lon_min -114.6664;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1033.005;
    Float64 geospatial_vertical_min 13.67656;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-21T15:53:26Z (local files)
2024-11-21T15:53:26Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_930162_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/930162";
    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 21.86359;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 8.65747;
    String summary "This dataset includes the environmental data (salinity, temperature, oxygen, density, depth) from the eight MOCNESS tows on the SR2114 expedition onboard the R/V Sally Ride in December 2021 to January 2022. It also includes the larval abundance of the most abundant species and the zooplankton biovolume, as well as the larval abundance by development stage. These results are published in Gutierrez Bravo, et al. (2024).";
    String title "[SR2114 MOCNESS Net Data] - MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022 (Collaborative Research: Multiyear autonomous measurement of N-loss in the ETNP ODZ)";
    Float64 Westernmost_Easting -114.6664;
  }
}

 

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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 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.

• (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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