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Dataset Title:	Scanning Electron Microscopy (SEM) photographs of biofilms on indium tin oxide electrodes from cathodic poised potential experiments with subsurface crustal samples from CORK borehole observatories at North Pond on the Mid-Atlantic Ridge during R/V A
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_780261)
Range:	longitude = -46.0817 to -46.053°E, latitude = 22.7564 to 22.8023°N
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| 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:

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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  SampleID {
    String bcodmo_name "sample";
    String description "Sample identifier (unique file names for .tif images)";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  ExperimentID {
    String bcodmo_name "exp_id";
    String description "Text description of experiment with microbial fuel cells; values of NP11, NP12, NP13, NP14 or NP15";
    String long_name "Experiment ID";
    String units "unitless";
  }
  Treatment {
    String bcodmo_name "treatment";
    String description "Treatment of the microbial fuel cell; values of Offline (with sample but no voltage applied), Fluid (with filtered fluid only/no sample and with voltage applied), or Echem (with sample and voltage applied)";
    String long_name "Treatment";
    String units "unitless";
  }
  imagename {
    String bcodmo_name "file_name";
    String description "Scanning Electron Microscopy (SEM) photograph imagename.";
    String long_name "Imagename";
    String units "unitless";
  }
  FLOCSsubstrate {
    String bcodmo_name "sample_descrip";
    String description "Description of the FLOCS sample type put into the microbial fuel cell; values of Mixed (a mixture of samples), NA (not applicable, no sample), Basalt, Glass Wool, or Pyrrhotite";
    String long_name "FLOCSsubstrate";
    String units "unitless";
  }
  FLOCSdeployDate {
    String bcodmo_name "date";
    String description "Date of the FLOCS deployment, in ISO 8601 format yyyy-mm-dd";
    String long_name "FLOCSdeploy Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "FLOCSdeployDate";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  FLOCSdepth {
    String bcodmo_name "meters below seafloor";
    String description "Approximate depth, in meters below seafloor, where the FLOCS experiment was deployed";
    String long_name "FLOCSdepth";
    String units "meters below seafloor (m)";
  }
  FLOCSrecoverDate {
    String bcodmo_name "date";
    String description "Date of the FLOCS recovery, in ISO 8601 format yyyy-mm-dd";
    String long_name "FLOCSrecover Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  FluidcollectionCruise {
    String bcodmo_name "cruise_id";
    String description "Name of the cruise and ROV Jason dive number when the crustal fluid was collected; values of AT39-01 (R/V Atlantis cruise AT39-01) + J2-#### (ROV Jason dive number)";
    String long_name "Fluidcollection Cruise";
    String units "unitless";
  }
  FluidcollectionDate {
    String bcodmo_name "date";
    String description "Date of the collection of the crustal fluids, in ISO 8601 format yyyy-mm-dd";
    String long_name "Fluidcollection Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 22.7564, 22.8023;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Degree decimal minutes N latitude of the FLOCS experiment";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -46.0817, -46.053;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Degree decimal minates W longitude of the FLOCS experiment";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  WaterDepth {
    Int16 _FillValue 32767;
    Int16 actual_range 4414, 4483;
    String bcodmo_name "depth_w";
    String description "water depth to seafloor of the IODP Hole";
    String long_name "Water Depth";
    String units "meters (m)";
  }
  imagelink {
    String bcodmo_name "file_link";
    String description "URL for SEM image";
    String long_name "Imagelink";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Microbial fuel cells (MFCs) were used to conduct cathodic poised potential
experiments as described in Jones et al. (in preparation). After cyclic
voltametry scanning of the indium tin oxide electrodes in the fuel cells at
the end of the experiment, the ITO electrodes were carefully removed from the
MFCs and split into two sections using a diamond scribe and tweezers for
microscopy and DNA analysis. One piece was serially dehydrated in ethanol
solutions (10 min steps each at 50:50, 60:40, 70:30, 80:20, 90:10 and 100:0
ratios of ethanol:distilled water) and hexamethyldisilizane (10 min) and air
dried for 3 days in a HEPA-filtered biosafety cabinet in preparation for
scanning electron microscopy (SEM), following methods available elsewhere
(DAngelo and Orcutt, 2019). Dehydrated slide pieces were then mounted onto 12
-mm-diameter SEM stubs with double-sided carbon tape, sputter coated with gold
with a Denton Vacuum Desk IV cold sputter instrument (Denton Vacuum LLC,
Moorestown, NJ), and imaged with a Zeiss Supra25 SEM at between 5-10 kV and a
working distance between 3-9 mm.";
    String awards_0_award_nid "707761";
    String awards_0_award_number "OCE-1536539";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536539";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Barbara Ransom";
    String awards_0_program_manager_nid "661067";
    String cdm_data_type "Other";
    String comment 
"AT39-01 CathodicEET SEM 
  PI: Beth N. Orcutt 
  Data Version 1: 2020-02-03";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2019-10-30T19:33:25Z";
    String date_modified "2020-02-11T16:02:38Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.780261.1";
    Float64 Easternmost_Easting -46.053;
    Float64 geospatial_lat_max 22.8023;
    Float64 geospatial_lat_min 22.7564;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -46.053;
    Float64 geospatial_lon_min -46.0817;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-25T21:44:06Z (local files)
2024-04-25T21:44:06Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_780261.das";
    String infoUrl "https://www.bco-dmo.org/dataset/780261";
    String institution "BCO-DMO";
    String instruments_0_acronym "SEM";
    String instruments_0_dataset_instrument_nid "780459";
    String instruments_0_description "Scanning electron microscope";
    String instruments_0_instrument_name "Scanning Electron Microscope";
    String instruments_0_instrument_nid "637895";
    String instruments_0_supplied_name "Zeiss Supra25 field emission scanning microscope";
    String keywords "bco, bco-dmo, biological, chemical, cruise, data, dataset, date, depth, dmo, erddap, experiment, ExperimentID, flocsdeploy, flocsdepth, flocsrecover, FLOCSrecoverDate, flocssubstrate, fluidcollection, FluidcollectionCruise, FluidcollectionDate, imagelink, imagename, latitude, longitude, management, oceanography, office, preliminary, sample, SampleID, time, treatment, water, WaterDepth";
    String license "https://www.bco-dmo.org/dataset/780261/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/780261";
    Float64 Northernmost_Northing 22.8023;
    String param_mapping "{'780261': {'Latitude': 'master - latitude', 'Longitude': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/780261/parameters";
    String people_0_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_0_person_name "Beth N. Orcutt";
    String people_0_person_nid "565799";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Amber York";
    String people_1_person_nid "643627";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "North Pond 2017";
    String projects_0_acronym "North Pond 2017";
    String projects_0_description 
"NSF Award Abstract:
Seawater circulates through the upper part of the oceanic crust much like groundwater flows through continental aquifers. However, in the ocean this seawater circulation, many times heated by buried magmatic bodies, transports and releases 25% of the Earth's heat. The rate of fluid flow through ocean crust is estimated to be equal to the amount of water delivered by rivers to the ocean. Much of what we know of this subseafloor fluid flow comes from studies in the eastern Pacific Ocean on ocean crust created by medium and fast spreading mid-ocean ridges. These studies indicate that seawater and its circulation through the seafloor significantly impact crustal evolution and biogeochemical cycles in the ocean and affect the biosphere in ways that are just now beginning to be quantified and understood. To expand this understanding, this research focuses on fluid flow of seafloor generated by slow spreading ridges, like those in the Atlantic, Indian and Arctic Oceans because it is significantly different in structure, mineralogy, and morphology than that formed at fast and intermediate spreading ridges. This research returns to North Pond, a long-term; seafloor; fluid flow monitoring site, drilled and instumented by the Ocean Drilling Program in the Atlantic Ocean. This research site was punctured by boreholes in which fluid flow and geochemical and biological samplers have been deployed for a number of years to collect data and samples. It also provides resources for shipboard and on-shore geochemical and biological analysis. Broader impacts of the work include sensor and technology development, which increases infrastructure for science and has commercial applications. It also provides training for students and the integration of education and research at three US academic institutions, one of which is an EPSCoR state (Mississippi), and supports a PI whose gender is under-represented in sciences and engineering. Public outreach will be carried out in conjunction with the Center for Dark Energy Biosphere Investigations.
This project completes a long-term biogeochemical and hydrologic study of ridge flank hydrothermal processes on slow-spreading, 8 million year old crust on the western flank of the Mid-Atlantic Ridge. The site, North Pond, is an isolated northeast-trending sediment pond, bounded by undersea mountains that have been studied since the 1970s. During Integrated Ocean Drilling Program Expedition 336 in 2011 and an expedition five months later (2012), sensors, samplers, and experiments were deployed in four borehole observatories drilled into the seafloor that penetrated into volcanic crust, with the purpose of monitoring changes in hydrologic properties, crustal fluid composition and mineral alteration, among other objectives. Wellhead sampling in 2012 and 2014 already revealed changes in crustal fluid compositions; and associated pressure data confirm that the boreholes are sealed and overpressured, reflecting a change in the formation as the boreholes recover from drilling disturbances. This research includes a 13-day oceanographic expedition and use of on-site robotically operated vehicles to recover downhole instrument packages at North Pond. It will allow the sampling of crustal fluids, recovering pressure data, and measuring fluid flow rates. Ship- and shore-based analyses will be used to address fundamental questions related to the hydrogeology of hydrothermal processes on slow-spread crust.";
    String projects_0_end_date "2018-09";
    String projects_0_geolocation "North Pond, Mid-Atlantic Ridge flank CORKs";
    String projects_0_name "Collaborative Research: Completing North Pond Borehole Experiments to Elucidate the Hydrology of Young, Slow-Spread Crust";
    String projects_0_project_nid "707762";
    String projects_0_project_website "http://www.darkenergybiosphere.org/research-activities/field-sites/";
    String projects_0_start_date "2015-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.7564;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Scanning Electron Microscopy (SEM) photographs of biofilms on indium tin oxide electrodes from cathodic poised potential experiments with subsurface crustal samples from CORK borehole observatories at North Pond on the Mid-Atlantic Ridge during R/V Atlantis cruise AT39-01.";
    String title "Scanning Electron Microscopy (SEM) photographs of biofilms on indium tin oxide electrodes from cathodic poised potential experiments with subsurface crustal samples from CORK borehole observatories at North Pond on the Mid-Atlantic Ridge during R/V A";
    String version "1";
    Float64 Westernmost_Easting -46.0817;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

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.

(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.