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Dataset Title:	[Winter to spring transition in a fjord in the Gulf of Alaska - chlorophyll a and flow cytometry data] - Chlorophyll a and flow cytometry data from bi-weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 from bi- weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_954173_v1)
Range:	longitude = -149.3583 to -149.3583°E, latitude = 60.025 to 60.025°N, depth = 0.0 to 280.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk Y Axis:  latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk Color:  latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk   Constraints Optional Constraint #1 Optional Constraint #2 cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk     != =~ <= >= = < >     != =~ <= >= = < > cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk     != =~ <= >= = < >     != =~ <= >= = < > cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk     != =~ <= >= = < >     != =~ <= >= = < > cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk     != =~ <= >= = < >     != =~ <= >= = < > cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk cruise date station latitude longitude cast niskin depth chla_gt_20 chla_lt_20 chla_total phaeo_gt_20 phaeo_lt_20 phaeo_total hbact syn peuk ")   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 {
  cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  date {
    String long_name "Date";
    String units "unitless";
  }
  station {
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 60.025, 60.025;
    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 -149.3583, -149.3583;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  cast {
    Int32 actual_range 1, 2;
    String long_name "Cast";
    String units "unitless";
  }
  niskin {
    Int32 actual_range 1, 6;
    String long_name "Niskin";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 0, 280;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  chla_gt_20 {
    Float32 actual_range 0.002, 0.232;
    String long_name "Chla_gt_20";
    String units "Micrograms per liter (ug/L)";
  }
  chla_lt_20 {
    Float32 actual_range 0.002, 0.094;
    String long_name "Chla_lt_20";
    String units "Micrograms per liter (ug/L)";
  }
  chla_total {
    Float32 actual_range 0.004, 0.321;
    String long_name "Chla_total";
    String units "Micrograms per liter (ug/L)";
  }
  phaeo_gt_20 {
    Float32 actual_range 0.018, 0.192;
    String long_name "Phaeo_gt_20";
    String units "Micrograms per liter (ug/L)";
  }
  phaeo_lt_20 {
    Float32 actual_range -0.002, 0.035;
    String long_name "Phaeo_lt_20";
    String units "Micrograms per liter (ug/L)";
  }
  phaeo_total {
    Float32 actual_range 0.016, 0.227;
    String long_name "Phaeo_total";
    String units "Micrograms per liter (ug/L)";
  }
  hbact {
    Int32 actual_range 243012, 790239;
    String long_name "Hbact";
    String units "Number per milliliter (#/mL)";
  }
  syn {
    Int32 actual_range 79, 4478;
    String long_name "Syn";
    String units "Number per milliliter (#/mL)";
  }
  peuk {
    Int32 actual_range 118, 9782;
    String long_name "Peuk";
    String units "Number per milliliter (#/mL)";
  }
 }
  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.954173.1";
    Float64 Easternmost_Easting -149.3583;
    Float64 geospatial_lat_max 60.025;
    Float64 geospatial_lat_min 60.025;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -149.3583;
    Float64 geospatial_lon_min -149.3583;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 280.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-04-19T13:49:43Z (local files)
2025-04-19T13:49:43Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_954173_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/954173";
    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 60.025;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 60.025;
    String summary "The Gulf of Alaska is a highly seasonal environment that is characterized by an order-of-magnitude increase in copepod biomass in the photic zone between winter and spring. The study focused on copepod recruitment to characterize species-specific naupliar production. Concurrent environmental monitoring included measurements of chlorophyll α and flow cytometry as indicators of prey field. Bi-weekly vertical profiles of temperature, salinity and fluorescence were recorded at an established station (RES2.5) in Resurrection Bay, AK. Discrete water samples were obtained for size-fractionated chlorophyll α samples and cell counts using flow cytometry. The water column was stratified by salinity with the lowest salinities recorded in the surface layer. A moderate increase in chlorophyll α concentrations occurred during March prior to the spring phytoplankton bloom.";
    String title "[Winter to spring transition in a fjord in the Gulf of Alaska - chlorophyll a and flow cytometry data] - Chlorophyll a and flow cytometry data from bi-weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 from bi-weekly vertical profiles in Resurrection Bay, AK from January to March of 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring)";
    Float64 Westernmost_Easting -149.3583;
  }
}

 

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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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