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Dataset Title:  [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological
oceanographic measurements, 16S rRNA gene amplicons and metagenomes from
surface seawater taken from August 2017 to June 2021 at sites within and
adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic
divergence in the most dominant lineage of marine bacteria)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_930163_v1)
Range: longitude = -157.8358 to -157.7663°E, latitude = 21.43582 to 21.526°N, depth = 0.139 to 2.998m, time = 2017-08-23T07:56:00Z to 2021-06-21T13:30:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  SampleID {
    String long_name "Sampleid";
    String units "unitless";
  }
  Universal_Sample_ID {
    String long_name "Universal_sample_id";
    String units "unitless";
  }
  Metagenome {
    String long_name "Metagenome";
    String units "unitless";
  }
  Metagenome_ID {
    String long_name "Metagenome_id";
    String units "unitless";
  }
  Year {
    Int32 actual_range 2017, 2021;
    String long_name "Year";
    String units "unitless";
  }
  Sampling_Order {
    Int32 actual_range 1, 36;
    String long_name "Sampling_order";
    String units "unitless";
  }
  Season {
    String long_name "Season";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Month_abb {
    String long_name "Month_abb";
    String units "unitless";
  }
  Time {
    String long_name "Time";
    String units "hh:mm";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.50347496e+9, 1.6242822e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  decimal_date {
    Float32 actual_range 2017.641, 2021.469;
    String long_name "Decimal_date";
    String units "unitless";
  }
  Day_of_year {
    Int32 actual_range 11, 358;
    String long_name "Day_of_year";
    String units "unitless";
  }
  Community_Type {
    String long_name "Community_type";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 21.43582, 21.526;
    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 -157.8358, -157.7663;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  SW_Temperature_at_site_degC {
    Float32 actual_range 22.79, 30.63;
    String long_name "Sw_temperature_at_site_degc";
    String units "degrees Celsius";
  }
  Salinity_ppt {
    Float32 actual_range 28.9, 38.98;
    String long_name "Salinity_ppt";
    String units "ppt";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.139, 2.998;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  pH {
    Float32 actual_range 6.81, 8.64;
    String long_name "Ph";
    String units "no unit";
  }
  Prochlorococcus_cells_per_mL {
    Int32 actual_range 0, 322887;
    String long_name "Prochlorococcus_cells_per_ml";
    String units "cells per mL";
  }
  Synechococcus_cells_per_mL {
    Int32 actual_range 1970, 642478;
    String long_name "Synechococcus_cells_per_ml";
    String units "cells per mL";
  }
  Eukaryotic_picophytoplankton_cells_per_mL {
    Int32 actual_range 972, 68398;
    String long_name "Eukaryotic_picophytoplankton_cells_per_ml";
    String units "cells per mL";
  }
  Heterotrophic_bacteria_cells_per_mL {
    Int32 actual_range 343844, 4161275;
    String long_name "Heterotrophic_bacteria_cells_per_ml";
    String units "cells per mL";
  }
  chlorophyll_a_ug_per_L {
    Float32 actual_range 0.1, 24.6;
    String long_name "Chlorophyll_a_ug_per_l";
    String units "micrograms per Liter";
  }
  Phosphate_uM {
    Float32 actual_range 0.04, 0.47;
    String long_name "Phosphate_um";
    String units "µM";
  }
  Silicate_uM {
    Float32 actual_range 0.72, 153.26;
    String long_name "Silicate_um";
    String units "µM";
  }
  NitrateNitrite_uM {
    Float32 actual_range 0.01, 1.83;
    String long_name "Nitratenitrite_um";
    String units "µM";
  }
  Ammonia_uM {
    Float32 actual_range 0.02, 1.46;
    String long_name "Ammonia_um";
    String units "µM";
  }
  X19_butanoyloxyfucoxanthin_ng_per_L {
    Float32 actual_range 0.0, 126.0;
    String long_name "X19_butanoyloxyfucoxanthin_ng_per_l";
    String units "ng per L";
  }
  X19_hexanoyloxyfucoxanthin_ng_per_L {
    Float32 actual_range 0.0, 125.0;
    String long_name "X19_hexanoyloxyfucoxanthin_ng_per_l";
    String units "ng per L";
  }
  Alloxanthin_ng_per_L {
    Float32 actual_range 0.0, 122.5;
    String long_name "Alloxanthin_ng_per_l";
    String units "ng per L";
  }
  Beta_Carotene_ng_per_L {
    Float32 actual_range 0.0, 204.4;
    String long_name "Beta_carotene_ng_per_l";
    String units "ng per L";
  }
  Alpha_Carotene_ng_per_L {
    Float32 actual_range 0.0, 14.2;
    String long_name "Alpha_carotene_ng_per_l";
    String units "ng per L";
  }
  Chlorophyll_a_ng_per_L {
    Float32 actual_range 27.1, 2759.0;
    String long_name "Chlorophyll_a_ng_per_l";
    String units "ng per L";
  }
  Chlorophyll_b_ng_per_L {
    Float32 actual_range 3.1, 381.0;
    String long_name "Chlorophyll_b_ng_per_l";
    String units "ng per L";
  }
  Chlorophyll_c_1_and_2_ng_per_L {
    Float32 actual_range 0.0, 338.2;
    String long_name "Chlorophyll_c_1_and_2_ng_per_l";
    String units "ng per L";
  }
  Chlorophyll_c_3_ng_per_L {
    Float32 actual_range 0.0, 39.6;
    String long_name "Chlorophyll_c_3_ng_per_l";
    String units "ng per L";
  }
  Chlorophyllide_ng_per_L {
    Float32 actual_range 0.0, 277.6;
    String long_name "Chlorophyllide_ng_per_l";
    String units "ng per L";
  }
  Diadinoxanthin_ng_per_L {
    Float32 actual_range 0.0, 242.8;
    String long_name "Diadinoxanthin_ng_per_l";
    String units "ng per L";
  }
  Diatoxanthin_ng_per_L {
    Float32 actual_range 0.0, 55.0;
    String long_name "Diatoxanthin_ng_per_l";
    String units "ng per L";
  }
  Fucoxanthin_ng_per_L {
    Float32 actual_range 0.0, 748.1;
    String long_name "Fucoxanthin_ng_per_l";
    String units "ng per L";
  }
  Lutein_ng_per_L {
    Float32 actual_range 0.0, 28.2;
    String long_name "Lutein_ng_per_l";
    String units "ng per L";
  }
  Neoxanthin_ng_per_L {
    Float32 actual_range 0.0, 31.8;
    String long_name "Neoxanthin_ng_per_l";
    String units "ng per L";
  }
  Peridinin_ng_per_L {
    Float32 actual_range 0.0, 114.4;
    String long_name "Peridinin_ng_per_l";
    String units "ng per L";
  }
  Prasinoxanthin_ng_per_L {
    Float32 actual_range 0.0, 109.8;
    String long_name "Prasinoxanthin_ng_per_l";
    String units "ng per L";
  }
  Violaxanthin_ng_per_L {
    Float32 actual_range 0.0, 60.4;
    String long_name "Violaxanthin_ng_per_l";
    String units "ng per L";
  }
  Zeaxanthin_ng_per_L {
    Float32 actual_range 5.9, 655.4;
    String long_name "Zeaxanthin_ng_per_l";
    String units "ng per L";
  }
  divinyl_chlorophyll_a_ng_per_L {
    Float32 actual_range 0.0, 227.95;
    String long_name "Divinyl_chlorophyll_a_ng_per_l";
    String units "ng per L";
  }
  monovinyl_chlorophyll_a_ng_per_L {
    Float32 actual_range 25.8, 2473.31;
    String long_name "Monovinyl_chlorophyll_a_ng_per_l";
    String units "ng per L";
  }
  total_chlorophyll_a_ng_per_L {
    Float32 actual_range 26.8, 2701.26;
    String long_name "Total_chlorophyll_a_ng_per_l";
    String units "ng per L";
  }
  biosample_accession {
    String long_name "Biosample_accession";
    String units "unitless";
  }
  Amplicon_bioproject_accession {
    String long_name "Amplicon_bioproject_accession";
    String units "unitless";
  }
  Amplicon_SRA_accession {
    String long_name "Amplicon_sra_accession";
    String units "unitless";
  }
  Amplicon_study {
    String long_name "Amplicon_study";
    String units "unitless";
  }
  Amplicon_library_strategy {
    String long_name "Amplicon_library_strategy";
    String units "unitless";
  }
  Amplicon_library_source {
    String long_name "Amplicon_library_source";
    String units "unitless";
  }
  Amplicon_library_layout {
    String long_name "Amplicon_library_layout";
    String units "unitless";
  }
  Amplicon_platform {
    String long_name "Amplicon_platform";
    String units "unitless";
  }
  Amplicon_instrument_model {
    String long_name "Amplicon_instrument_model";
    String units "unitless";
  }
  Amplicon_design_description {
    String long_name "Amplicon_design_description";
    String units "unitless";
  }
  Amplicon_filetype {
    String long_name "Amplicon_filetype";
    String units "unitless";
  }
  Amplicon_filename {
    String long_name "Amplicon_filename";
    String units "unitless";
  }
  Amplicon_filename2 {
    String long_name "Amplicon_filename2";
    String units "unitless";
  }
  Metagenome_bioproject_accession {
    String long_name "Metagenome_bioproject_accession";
    String units "unitless";
  }
  Metagenome_SRA_accession {
    String long_name "Metagenome_sra_accession";
    String units "unitless";
  }
  Metagenome_study {
    String long_name "Metagenome_study";
    String units "unitless";
  }
  Metagenome_library_strategy {
    String long_name "Metagenome_library_strategy";
    String units "unitless";
  }
  Metagenome_library_selection {
    String long_name "Metagenome_library_selection";
    String units "unitless";
  }
  Metagenome_library_layout {
    String long_name "Metagenome_library_layout";
    String units "unitless";
  }
  Metagenome_platform {
    String long_name "Metagenome_platform";
    String units "unitless";
  }
  Metagenome_instrument_model {
    String long_name "Metagenome_instrument_model";
    String units "unitless";
  }
  Metagenome_design_description {
    String long_name "Metagenome_design_description";
    String units "unitless";
  }
  Metagenome_filetype {
    String long_name "Metagenome_filetype";
    String units "unitless";
  }
  Metagenome_filename {
    String long_name "Metagenome_filename";
    String units "unitless";
  }
  Metagenome_filename2 {
    String long_name "Metagenome_filename2";
    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.930163.1";
    Float64 Easternmost_Easting -157.7663;
    Float64 geospatial_lat_max 21.526;
    Float64 geospatial_lat_min 21.43582;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -157.7663;
    Float64 geospatial_lon_min -157.8358;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2.998;
    Float64 geospatial_vertical_min 0.139;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:40:34Z (local files)
2024-11-08T05:40:34Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_930163_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/930163";
    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 21.526;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 21.43582;
    String summary 
"These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.

These data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.";
    String time_coverage_end "2021-06-21T13:30:00Z";
    String time_coverage_start "2017-08-23T07:56:00Z";
    String title "[Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria)";
    Float64 Westernmost_Easting -157.8358;
  }
}

 

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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