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Dataset Title:  [Nereocystis geographic patterns in physiology and microbiome] - Nereocystis
luetkeana geographic patterns in physiology and microbiome from samples
collected from 2019 to 2022 at nine sites spanning more than 200 kilometers in
Washington state (The role of microbes in driving productivity and carbon
fixation in seaweeds)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_1000920_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 year (unitless) ?          "2019"    "2022"
 date (Unitless) ?          "2019-07-02"    "2022-08-14"
 month (unitless) ?          "August"    "July"
 locale (unitless) ?          "Bullman Beach"    "Tatoosh"
 region (unitless) ?          "PugetSound"    "Strait_OuterCoast"
 latitude (degrees_north) ?          47.16652    48.39369
  < slider >
 longitude (degrees_east) ?          -124.7338    -122.3983
  < slider >
 replicate (unitless) ?          "1"    "sq9"
 wetmass_g (grams) ?          4.75    12.26
 drymass_g (grams) ?          0.44    2.07
 mgCfixed_gdrymass_hr (milligrams per gram drymass per hour) ?          -0.01    3.27
 DOCmgl_release_gdrymass_hr_corr01 (milligrams per gram drymass per hour) ?          0.01    2.403
 DOC_um_hr_drymass (micromolar (uM)) ?          0.87    209.68
 to_po4 (micromolar (uM)) ?          0.44    2.84
 to_si (micromolar (uM)) ?          3.55    46.28
 to_no3 (micromolar (uM)) ?          0.21    23.59
 to_no2 (micromolar (uM)) ?          0.0    0.75
 to_nh4 (micromolar (uM)) ?          0.16    3.05
 to_DIN (micromolar (uM)) ?          0.75    25.28
 uM_DOC_to (micromolar (uM)) ?          77.3    193.25
 tf_po4 (micromolar (uM)) ?          0.58    5.07
 tf_si (micromolar (uM)) ?          3.4    46.92
 tf_no3 (micromolar (uM)) ?          0.11    188.99
 tf_no2 (micromolar (uM)) ?          0.0    1.8
 tf_nh4 (micromolar (uM)) ?          0.0    2.56
 tf_DIN (micromolar (uM)) ?          0.47    192.62
 no3_uptake_h_gdm (uM change per gram drymass per hour) ?          -20.892    4.46
 bulb_diam (millimeters (mm)) ?          41.8    87.0
 blade_length (centimeters (cm)) ?          25.0    345.0
 repro (unitless) ?          "NR"    "R"
 deln (per mil) ?          5.71    22.53
 delc (per mil) ?          -20.52    -12.11
 pctn (percent) ?          0.8    3.93
 pctc (percent) ?          14.7    50.51
 c_n (ratio) ?          7.99    25.54
 temperature (degrees Celsius) ?          10.02    16.5
 salinity (ppt) ?          28.07    32.82
 ratioCfixtoDOCrel (ratio) ?          -0.019    164.0
 
Server-side Functions ?
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File type: (more information)

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(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year {
    String long_name "Year";
    String units "unitless";
  }
  date {
    String long_name "Date";
    String units "Unitless";
  }
  month {
    String long_name "Month";
    String units "unitless";
  }
  locale {
    String long_name "Locale";
    String units "unitless";
  }
  region {
    String long_name "Region";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 47.16652, 48.39369;
    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 -124.7338, -122.3983;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  replicate {
    String long_name "Replicate";
    String units "unitless";
  }
  wetmass_g {
    Float32 actual_range 4.75, 12.26;
    String long_name "Wetmass_g";
    String units "grams";
  }
  drymass_g {
    Float32 actual_range 0.44, 2.07;
    String long_name "Drymass_g";
    String units "grams";
  }
  mgCfixed_gdrymass_hr {
    Float32 actual_range -0.01, 3.27;
    String long_name "Mgcfixed_gdrymass_hr";
    String units "milligrams per gram drymass per hour";
  }
  DOCmgl_release_gdrymass_hr_corr01 {
    Float32 actual_range 0.01, 2.403;
    String long_name "Docmgl_release_gdrymass_hr_corr01";
    String units "milligrams per gram drymass per hour";
  }
  DOC_um_hr_drymass {
    Float32 actual_range 0.87, 209.68;
    String long_name "Doc_um_hr_drymass";
    String units "micromolar (uM)";
  }
  to_po4 {
    Float32 actual_range 0.44, 2.84;
    String long_name "To_po4";
    String units "micromolar (uM)";
  }
  to_si {
    Float32 actual_range 3.55, 46.28;
    String long_name "To_si";
    String units "micromolar (uM)";
  }
  to_no3 {
    Float32 actual_range 0.21, 23.59;
    String long_name "To_no3";
    String units "micromolar (uM)";
  }
  to_no2 {
    Float32 actual_range 0.0, 0.75;
    String long_name "To_no2";
    String units "micromolar (uM)";
  }
  to_nh4 {
    Float32 actual_range 0.16, 3.05;
    String long_name "To_nh4";
    String units "micromolar (uM)";
  }
  to_DIN {
    Float32 actual_range 0.75, 25.28;
    String long_name "To_din";
    String units "micromolar (uM)";
  }
  uM_DOC_to {
    Float32 actual_range 77.3, 193.25;
    String long_name "Um_doc_to";
    String units "micromolar (uM)";
  }
  tf_po4 {
    Float32 actual_range 0.58, 5.07;
    String long_name "Tf_po4";
    String units "micromolar (uM)";
  }
  tf_si {
    Float32 actual_range 3.4, 46.92;
    String long_name "Tf_si";
    String units "micromolar (uM)";
  }
  tf_no3 {
    Float32 actual_range 0.11, 188.99;
    String long_name "Tf_no3";
    String units "micromolar (uM)";
  }
  tf_no2 {
    Float32 actual_range 0.0, 1.8;
    String long_name "Tf_no2";
    String units "micromolar (uM)";
  }
  tf_nh4 {
    Float32 actual_range 0.0, 2.56;
    String long_name "Tf_nh4";
    String units "micromolar (uM)";
  }
  tf_DIN {
    Float32 actual_range 0.47, 192.62;
    String long_name "Tf_din";
    String units "micromolar (uM)";
  }
  no3_uptake_h_gdm {
    Float32 actual_range -20.892, 4.46;
    String long_name "No3_uptake_h_gdm";
    String units "uM change per gram drymass per hour";
  }
  bulb_diam {
    Float32 actual_range 41.8, 87.0;
    String long_name "Bulb_diam";
    String units "millimeters (mm)";
  }
  blade_length {
    Float32 actual_range 25.0, 345.0;
    String long_name "Blade_length";
    String units "centimeters (cm)";
  }
  repro {
    String long_name "Repro";
    String units "unitless";
  }
  deln {
    Float32 actual_range 5.71, 22.53;
    String long_name "Deln";
    String units "per mil";
  }
  delc {
    Float32 actual_range -20.52, -12.11;
    String long_name "Delc";
    String units "per mil";
  }
  pctn {
    Float32 actual_range 0.8, 3.93;
    String long_name "Pctn";
    String units "percent";
  }
  pctc {
    Float32 actual_range 14.7, 50.51;
    String long_name "Pctc";
    String units "percent";
  }
  c_n {
    Float32 actual_range 7.99, 25.54;
    String long_name "C_n";
    String units "ratio";
  }
  temperature {
    Float32 actual_range 10.02, 16.5;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  salinity {
    Float32 actual_range 28.07, 32.82;
    String long_name "Salinity";
    String units "ppt";
  }
  ratioCfixtoDOCrel {
    Float32 actual_range -0.019, 164.0;
    String long_name "Ratiocfixtodocrel";
    String units "ratio";
  }
 }
  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.1000920.1";
    Float64 Easternmost_Easting -122.3983;
    Float64 geospatial_lat_max 48.39369;
    Float64 geospatial_lat_min 47.16652;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -122.3983;
    Float64 geospatial_lon_min -124.7338;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-09-02T12:10:42Z (local files)
2026-09-02T12:10:42Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000920_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1000920";
    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 48.39369;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 47.16652;
    String summary "Canopy kelp are foundational species in coastal ecosystems and host diverse bacterial communities. We used these data to test the association between bull kelp (Nereocystis luetkeana) host traits, blade-associated bacterial taxa and seawater environmental features across nine sites spanning more than 200 kilometers in Washington state. The data collection spans the outer coast site Tatoosh Island, at the entrance of the Strait of Juan de Fuca. Data collection extended eastward to include sites within the Strait of Juan de Fuca and central and southern Puget Sound. Kelp traits and seawater features that were measured are contained within this dataset and include carbon fixation and DOC release, morphometrics of kelp, and nutrient content. Seawater features that were measured were nutrients, sea surface temperature, and salinity in the surrounding water column. Microbial community data based on 16S rRNA amplicon sequencing of kelp blades across all sites are archived at the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA1301461. Bacterial taxa showed differentiation among sites, and blade-associated bacterial densities were higher at the outer coast site compared with the most inland site. Yet, 11 bacterial genera were present in at least 80% of the samples; these taxa probably serve as core members of the N. luetkeana microbiome and show both positive and negative correlations with host health and environmental features. The data indicated strong interrelationships between kelp traits, seawater features and bacterial community composition with implications for the health of this highly productive foundational species in coastal ecosystems. This dataset supports the 2025 Pfister, et al. paper published in Royal Society Open Science (DOI: 10.1098/rsos.250637).";
    String title "[Nereocystis geographic patterns in physiology and microbiome] - Nereocystis luetkeana geographic patterns in physiology and microbiome from samples collected from 2019 to 2022 at nine sites spanning more than 200 kilometers in Washington state (The role of microbes in driving productivity and carbon fixation in seaweeds)";
    Float64 Westernmost_Easting -124.7338;
  }
}

 

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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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