BCO-DMO ERDDAP
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Dataset Title:	[X-ray diffraction from seafloor sulfide deposits East Pacific Rise 9-10 North] - Synchrotron micro-probe X-ray diffraction data from seafloor sulfide deposits collected during cruise AT42-09 on the East Pacific Rise (EPR) in April 2019. (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_937020_v1)
Range:	longitude = -104.2936 to -104.1749°E, latitude = 9.503203 to 9.846861°N, time = 2019-04-04T17:56:20Z to 2019-04-10T19:32:45Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

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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 {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  File_name {
    String long_name "File_name";
    String units "unitless";
  }
  Sample_name {
    String long_name "Sample_name";
    String units "unitless";
  }
  sample_descrip {
    String long_name "Time";
    String units "unitless";
  }
  Hydrotherml_vent_category {
    String long_name "Hydrotherml_vent_category";
    String units "unitless";
  }
  Location {
    String long_name "Location";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 9.503203, 9.846861;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Lat_dd";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -104.2936, -104.1749;
    String axis "X";
    String ioos_category "Location";
    String long_name "Lon_dd";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_f {
    Float32 actual_range 2506.12, 2517.12;
    String long_name "Depth_mbs";
    String units "m";
  }
  Hdg {
    Float32 actual_range 34.0, 178.0;
    String long_name "Hdg";
    String units "degrees";
  }
  Date_collected {
    String long_name "Date_collected";
    String units "unitless";
  }
  Time_collected {
    String long_name "Time_collected";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.55440058e+9, 1.554924765e+9;
    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";
  }
 }
  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.937020.1";
    Float64 Easternmost_Easting -104.1749;
    Float64 geospatial_lat_max 9.846861;
    Float64 geospatial_lat_min 9.503203;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -104.1749;
    Float64 geospatial_lon_min -104.2936;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-15T11:29:55Z (local files)
2024-11-15T11:29:55Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_937020_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/937020";
    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 9.846861;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.503203;
    String summary 
"Synchrotron micro-probe X-ray diffraction data were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N in 2019-2021 on cruise AT42-09. Samples were collected using the HOV Alvin. Samples were placed in a positive-pressure glove bag flushed with N2 (g), sparged with N2, heat-sealed into mylar bags containing Anaeropaks, and stored at -20°C.

Epoxy embedded petrographic thin sections were created using these samples. Subsamples were dried for 24 hours under N2 (g), vacuum embedded in epoxy resin (Struers EpoFix Resin, 1L kit: Part #40200030) following manufacturer's guidelines, and cured under N2 (g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 micron thick, double-polished thin sections mounted on quartz slides using methods to limit sample exposure to water and ambient air. When not in use, thin-sections were stored under N2 (g) to limit oxidation. Thin sections were analyzed for X-ray diffraction at the X-ray Fluorescence Microprobe beamline \"XFM\", National Synchrotron Light Source II (NSLS II), Brookhaven National Laboratory, NY.";
    String time_coverage_end "2019-04-10T19:32:45Z";
    String time_coverage_start "2019-04-04T17:56:20Z";
    String title "[X-ray diffraction from seafloor sulfide deposits East Pacific Rise 9-10 North] - Synchrotron micro-probe X-ray diffraction data from seafloor sulfide deposits collected during cruise AT42-09 on the East Pacific Rise (EPR) in April 2019. (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)";
    Float64 Westernmost_Easting -104.2936;
  }
}

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.

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