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Dataset Title:  [Macrophytes' amelioration of seawater acidity: Residence time and
irradiance] - Macrophytes' amelioration of seawater acidity: Water residence
time and irradiance of Saccharina latissima from the Gulf of Maine in November
2018 (REU Site: Bigelow Laboratory for Ocean Sciences - Undergraduate Research
Experience in the Gulf of Maine and the World Ocean)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_922819_v1)
Range: longitude = -69.57825 to -69.57825°E, latitude = 43.86056 to 43.86056°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 {
  Species {
    String long_name "Species";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.86056, 43.86056;
    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 -69.57825, -69.57825;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Aquaria {
    Int32 actual_range 1, 25;
    String long_name "Aquaria";
    String units "unitless";
  }
  Future_Ambient {
    String long_name "Future_ambient";
    String units "unitless";
  }
  Kelp_Control {
    String long_name "Kelp_control";
    String units "unitless";
  }
  Kelp_biomass_wet {
    Float32 actual_range 0.0, 168.7;
    String long_name "Kelp_biomass_wet";
    String units "grams (g)";
  }
  Kelp_biomass_dry {
    Float32 actual_range 0.0, 20.2;
    String long_name "Kelp_biomass_dry";
    String units "grams (g)";
  }
  PAR {
    Float32 actual_range 6.33, 258.48;
    String long_name "Par";
    String units "micromols m-2 s-1 (uM m-2 s-1)";
  }
  Flow_level {
    String long_name "Flow_level";
    String units "unitless";
  }
  Salinity {
    Float32 actual_range 29.7, 30.3;
    String long_name "Salinity";
    String units "unitless";
  }
  Temperature {
    Float32 actual_range 11.2, 12.9;
    String long_name "Temperature";
    String units "degrees Celsius (°C)";
  }
  Inflow_Dissolved_oxygen {
    Float32 actual_range 328.15, 386.59;
    String long_name "Inflow_dissolved_oxygen";
    String units "micromolar per liter (uM/L)";
  }
  Inflow_pH {
    Float32 actual_range 7.1316, 7.9471;
    String long_name "Inflow_ph";
    String units "unitless";
  }
  Inflow_ALK {
    Float32 actual_range 2000.0, 2298.0;
    String long_name "Inflow_alk";
    String units "micromolar per kilogram (uM/kg)";
  }
  delta_DO {
    Float32 actual_range -6.25, 49.38;
    String long_name "Delta_do";
    String units "unitless";
  }
  delta_DIC {
    Float32 actual_range -48.22, 85.57;
    String long_name "Delta_dic";
    String units "unitless";
  }
  delta_pH {
    Float32 actual_range -0.2454, 0.1665;
    String long_name "Delta_ph";
    String units "unitless";
  }
  delta_omega_ar {
    Float32 actual_range -0.1954, 0.2157;
    String long_name "Delta_omega_ar";
    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.922819.1";
    Float64 Easternmost_Easting -69.57825;
    Float64 geospatial_lat_max 43.86056;
    Float64 geospatial_lat_min 43.86056;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -69.57825;
    Float64 geospatial_lon_min -69.57825;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T16:22:56Z (local files)
2024-11-14T16:22:56Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_922819_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/922819";
    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 43.86056;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.86056;
    String summary 
"An experiment examining the effects of water residence time upon Saccharina latissima capacity to ameliorate seawater acidity under ambient and simulated future scenarios of climate change in a gradient of irradiance was conducted indoors using tanks with a flow-through seawater system based at the Bigelow facilities in November 2018. In a previous experiment (experiment 1), we explored the individual capacities of four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) to ameliorate seawater acidity in experimentally elevated pCO2. Then in this experiment 2, we used the most responsive species (i.e., Saccharina latissima) to assess the effects of high and low water residence time on the amelioration of seawater acidity in ambient and simulated future scenarios of climate change across a gradient of irradiance.

This dataset includes data from experiment 2, residence time and irradiance, described in the manuscript: Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach (Ricart, A. M. et al. 2023).";
    String title "[Macrophytes' amelioration of seawater acidity: Residence time and irradiance] - Macrophytes' amelioration of seawater acidity: Water residence time and irradiance of Saccharina latissima from the Gulf of Maine in November 2018 (REU Site: Bigelow Laboratory for Ocean Sciences - Undergraduate Research Experience in the Gulf of Maine and the World Ocean)";
    Float64 Westernmost_Easting -69.57825;
  }
}

 

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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