ERDDAP > tabledap > Make A Graph

Dataset Title:	[Microbial Cellular Abundance Epifluorescent Microscopy] - Microbial cellular abundance growth response through epifluorescent microscopy from the Neuse River Estuary, North Carolina USA from 2021-2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_925050_v1)
Range:	longitude = -76.36507 to -76.36507°E, latitude = 34.92567 to 34.92567°N
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  latitude longitude Incubation_Day Tank_ID Excitation Magnification cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err Y Axis:  latitude longitude Incubation_Day Tank_ID Excitation Magnification cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err Color:  latitude longitude Incubation_Day Tank_ID Excitation Magnification cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err   Constraints Optional Constraint #1 Optional Constraint #2 Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err     != =~ <= >= = < >     != =~ <= >= = < > Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err     != =~ <= >= = < >     != =~ <= >= = < > Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err     != =~ <= >= = < >     != =~ <= >= = < > Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err     != =~ <= >= = < >     != =~ <= >= = < > Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err Experiment_Name latitude longitude Date Incubation_Day Treatment Tank_ID Method Stain Excitation Magnification Size_Fraction cells_per_L_avg cells_per_L_sd ratio_620_tot ratio_err ")   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 {
  Experiment_Name {
    String long_name "Experiment_name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 34.92567, 34.92567;
    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 -76.36507, -76.36507;
    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";
  }
  Incubation_Day {
    Int32 actual_range 0, 49;
    String long_name "Incubation_day";
    String units "days";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Tank_ID {
    Int32 actual_range 1, 2;
    String long_name "Tank_id";
    String units "unitless";
  }
  Method {
    String long_name "Method";
    String units "unitless";
  }
  Stain {
    String long_name "Stain";
    String units "unitless";
  }
  Excitation {
    Int32 actual_range 395, 620;
    String long_name "Excitation";
    String units "nanometers (nm)";
  }
  Magnification {
    Int32 actual_range 60, 102;
    String long_name "Magnification";
    String units "unitless";
  }
  Size_Fraction {
    String long_name "Size_fraction";
    String units "micrometers (um)";
  }
  cells_per_L_avg {
    Float32 actual_range -7777.0, 8.6340536e+9;
    String long_name "Cells_per_l_avg";
    String units "cells L-1";
  }
  cells_per_L_sd {
    Float32 actual_range -9999.0, 2.9039401e+9;
    String long_name "Cells_per_l_sd";
    String units "cells L-1";
  }
  ratio_620_tot {
    Float32 actual_range -9999.0, 0.374;
    String long_name "Ratio_620_tot";
    String units "unitless";
  }
  ratio_err {
    Float32 actual_range -9999.0, 0.343;
    String long_name "Ratio_err";
    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.925050.1";
    Float64 Easternmost_Easting -76.36507;
    Float64 geospatial_lat_max 34.92567;
    Float64 geospatial_lat_min 34.92567;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.36507;
    Float64 geospatial_lon_min -76.36507;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-05T18:20:45Z (local files)
2024-10-05T18:20:45Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_925050_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/925050";
    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 34.92567;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.92567;
    String summary "Microbial cellular abundance was enumerated for two microcosm incubation experiments to track the growth response of the microbial community. This dataset targets bacterial and phytoplankton abundance through epiflorescent microscopy. Sample water originated from the West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-L, conducted in biological duplicates under three light treatment incubations: 12 h light-dark cycle of photosynthetically active radiation (PAR), 12 h light-dark cycle of UV-B radiation, or darkness. Unfiltered sample water was stained with SYBR Green I (Fall 2021 experiment) or DAPI (Spring 2022 experiment) for enumeration at 60x for bacterial and cyanobacterial abundance. Autofluorescence from excitation at 620 nm and 60x was used to enumerate small phytoplankton and cyanobacteria. This dataset highlights patterns in microbial growth across treatments over the course of the incubation and is used to generate cell-specific, normalized rates for associated datasets in the project.";
    String title "[Microbial Cellular Abundance Epifluorescent Microscopy] - Microbial cellular abundance growth response through epifluorescent microscopy from the Neuse River Estuary, North Carolina USA from 2021-2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)";
    Float64 Westernmost_Easting -76.36507;
  }
}

 

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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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