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Dataset Title:  [Biogeochemical Measurements from Surface Waters at the North Shore of Mo'
orea, French Polynesia] - Biogeochemical and microbial parameters collected
during spatial surveys on a coral reef at Mo'orea's North Shore (French
Polynesia) in September 2017, May 2019, and April 2022 (Collaborative Research:
Characterizing microbial transformation of marine DOM at the molecular level
using untargeted metabolomic)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_942884_v1)
Range: longitude = -149.853 to -149.805°E, latitude = -17.50584 to -17.44598°N
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 {
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  Sampling_Strategy {
    String long_name "Sampling_strategy";
    String units "unitless";
  }
  MassiveID {
    String long_name "Massiveid";
    String units "unitless";
  }
  MS_Sample_ID_1 {
    String long_name "Ms_sample_id_1";
    String units "unitless";
  }
  MS_Sample_ID_2 {
    String long_name "Ms_sample_id_2";
    String units "unitless";
  }
  Year {
    String long_name "Year";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -149.853, -149.805;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -17.50584, -17.44598;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  DateTime_local {
    String long_name "Datetime_local";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    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";
  }
  ContactTime {
    String long_name "Contacttime";
    String units "minutes";
  }
  DOC {
    Float32 actual_range 67.6, 105.25;
    String long_name "Doc";
    String units "micromoles per liter (umol/L)";
  }
  Total_N {
    Float32 actual_range 2.787676, 10.006;
    String long_name "Total_n";
    String units "micromoles per liter (umol/L)";
  }
  Total_P {
    Float32 actual_range 0.131425, 0.791816;
    String long_name "Total_p";
    String units "micromoles per liter (umol/L)";
  }
  Phosphate {
    Float32 actual_range 0.085485, 0.209627;
    String long_name "Phosphate";
    String units "micromoles per liter (umol/L)";
  }
  Silicate {
    Float32 actual_range 0.604533, 5.189759;
    String long_name "Silicate";
    String units "micromoles per liter (umol/L)";
  }
  N_plus_N {
    Float32 actual_range 0.013696, 0.775823;
    String long_name "N_plus_n";
    String units "micromoles per liter (umol/L)";
  }
  Ammonia {
    Float32 actual_range 0.02, 1.133846;
    String long_name "Ammonia";
    String units "micromoles per liter (umol/L)";
  }
  PON {
    Float32 actual_range 2.0525, 19.93998;
    String long_name "Pon";
    String units "micrograms per liter (ug/L)";
  }
  POC {
    Float32 actual_range 9.06, 127.3837;
    String long_name "Poc";
    String units "micrograms per liter (ug/L)";
  }
  PON15 {
    Float32 actual_range 3.458, 5.789;
    String long_name "Pon15";
    String units "per mil (‰)";
  }
  POC13 {
    Float32 actual_range -22.2411, -15.5205;
    String long_name "Poc13";
    String units "per mil (‰)";
  }
  Salinity {
    Float32 actual_range 35.67, 36.26;
    String long_name "Salinity";
    String units "practicial salinity units (PSU)";
  }
  Temperature {
    Float32 actual_range 28.5, 29.0;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  PicoEukaryotes {
    Float32 actual_range 0.836735, 9.591837;
    String long_name "Picoeukaryotes";
    String units "cells per microliter (cells/uL)";
  }
  Prochlorococcus {
    Float32 actual_range 0.163265, 4.734694;
    String long_name "Prochlorococcus";
    String units "cells per microliter (cells/uL)";
  }
  Synechococcus {
    Float32 actual_range 0.48, 98.28571;
    String long_name "Synechococcus";
    String units "cells per microliter (cells/uL)";
  }
  Heterotrophs {
    Float32 actual_range 121.8367, 602.32;
    String long_name "Heterotrophs";
    String units "cells per microliter (cells/uL)";
  }
  M_C_ratio {
    Float32 actual_range 0.915019, 2.79415;
    String long_name "M_c_ratio";
    String units "Raman Fluorescence Units of Water";
  }
  BIX {
    Float32 actual_range 0.756612, 3.901612;
    String long_name "Bix";
    String units "Raman Fluorescence Units of Water";
  }
  HIX {
    Float32 actual_range 0.085209, 1.472214;
    String long_name "Hix";
    String units "Raman Fluorescence Units of Water";
  }
  FI {
    Float32 actual_range 1.044409, 2.341408;
    String long_name "Fi";
    String units "Raman Fluorescence Units of Water";
  }
  Ultra_Violet_Humic_like {
    Float32 actual_range 0.003063, 0.018561;
    String long_name "Ultra_violet_humic_like";
    String units "Raman Fluorescence Units of Water";
  }
  Marine_Humic_like {
    Float32 actual_range 0.004111, 0.02659;
    String long_name "Marine_humic_like";
    String units "Raman Fluorescence Units of Water";
  }
  Visible_Humic_like {
    Float32 actual_range 0.002023, 0.019894;
    String long_name "Visible_humic_like";
    String units "Raman Fluorescence Units of Water";
  }
  Tryptophan_like {
    Float32 actual_range 0.00719, 0.145963;
    String long_name "Tryptophan_like";
    String units "Raman Fluorescence Units of Water";
  }
  Tyrosine_like {
    Float32 actual_range 0.012887, 0.206499;
    String long_name "Tyrosine_like";
    String units "Raman Fluorescence Units of Water";
  }
  Phenylalanine_like {
    Float32 actual_range 0.0, 0.073629;
    String long_name "Phenylalanine_like";
    String units "Raman Fluorescence Units of Water";
  }
  Fulvic_Acid_like {
    Float32 actual_range 0.001026, 0.008877;
    String long_name "Fulvic_acid_like";
    String units "Raman Fluorescence Units of Water";
  }
  Optical_Brighteners {
    Float32 actual_range 0.001589, 0.016413;
    String long_name "Optical_brighteners";
    String units "Raman Fluorescence Units of Water";
  }
  Diesel_Band_II {
    Float32 actual_range 6.6e-4, 0.00632;
    String long_name "Diesel_band_ii";
    String units "Raman Fluorescence Units of Water";
  }
  Petroleum_like {
    Float32 actual_range 0.003391, 0.022929;
    String long_name "Petroleum_like";
    String units "Raman Fluorescence Units of Water";
  }
  Lignin_like {
    Float32 actual_range 0.012989, 0.189634;
    String long_name "Lignin_like";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC1 {
    Float32 actual_range 0.008607, 0.127431;
    String long_name "Parafac1";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC2 {
    Float32 actual_range 0.008604, 0.185452;
    String long_name "Parafac2";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC3 {
    Float32 actual_range 0.0, 0.040153;
    String long_name "Parafac3";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC4 {
    Float32 actual_range 0.002769, 0.063778;
    String long_name "Parafac4";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC5 {
    Float32 actual_range 0.001224, 0.019201;
    String long_name "Parafac5";
    String units "Raman Fluorescence Units of Water";
  }
  PARAFAC6 {
    Float32 actual_range 0.0, 0.2022;
    String long_name "Parafac6";
    String units "Raman Fluorescence Units of Water";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.942884.1";
    Float64 Easternmost_Easting -149.805;
    Float64 geospatial_lat_max -17.44598;
    Float64 geospatial_lat_min -17.50584;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -149.805;
    Float64 geospatial_lon_min -149.853;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-22T14:54:08Z (local files)
2024-12-22T14:54:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_942884_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/942884";
    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 -17.44598;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.50584;
    String summary "This data includes biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia). Sampling took place in September 2017, May 2019, and April 2022. In 2019 and 2022, samples were also collected across three midday Lagrangian transect deployments, following water flowing linearly from ocean-facing forereefs over a reef crest to backreef lagoons. A variety of methods were used including colorimetric detection of inorganic nutrients, high-temperature combustion/oxidation, or chemical oxidation for the analysis of dissolved organic carbon (DOC) and particulate organic carbon and nitrogen (POC and PON) concentrations, isotope ratio mass spectrometry for determining stable carbon and nitrogen isotopes of particulate organic matter (POM), scanning excitation-emissions fluorescence measurements of whole seawater to quantify fluorescent dissolved organic matter (fDOM), flow cytometry-based cell counts to quantify bacterial abundance, and liquid chromatography coupled to tandem mass spectrometry to identify individual chemical features within marine DOM. These data help to quantify how biogeochemical parameters change in this region of the reef as open ocean waters flow onto the reef, over the reef, and then mix with waters in the bay. This work helps us to better identify external nutrients to the reef and how reef organisms modify and cycle carbon, nitrogen, and phosphorus over the reef. The results may be of use to physical, chemical, and biological oceanographers who study tropical reef systems and could inform other studies in the region including those conducted as part of the Mo'orea Coral Reef (MCR) Long Term Ecology Research (LTER) program. The samples were collected, measured (for a subset as noted below), and analyzed primarily by members of Lihini Aluwihare's group.";
    String title "[Biogeochemical Measurements from Surface Waters at the North Shore of Mo'orea, French Polynesia] - Biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia) in September 2017, May 2019, and April 2022 (Collaborative Research: Characterizing microbial transformation of marine DOM at the molecular level using untargeted metabolomic)";
    Float64 Westernmost_Easting -149.853;
  }
}

 

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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