BCO-DMO ERDDAP
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Dataset Title:	[Xray diffraction data] - X-ray diffractogram data collected from 2013 to 2017 (INSPIRE Pyrite project) (INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_684634)
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 {
  experiment_type {
    String bcodmo_name "exp_type";
    String description "Abiotic or biotic experiment description";
    String long_name "Experiment Type";
    String units "unitless";
  }
  angle_2Theta {
    Float32 _FillValue NaN;
    Float32 actual_range 10.002, 60.002;
    String bcodmo_name "unknown";
    String description "2-Theta angle after 1 week of incubation";
    String long_name "Angle 2 Theta";
    String units "unitless";
  }
  intensity {
    Float32 _FillValue NaN;
    Float32 actual_range -0.86587, 5.6183;
    String bcodmo_name "unknown";
    String description "Intensity after 1 week of incubation";
    String long_name "Intensity";
    String units "arbitrary unit";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description "X-ray diffraction data (2-Theta angle vs. intensity).";
    String awards_0_award_nid "623699";
    String awards_0_award_number "OCE-1344241";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1344241";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"X-ray Defraction 
  P. Girguis and D. Clarke, PIs 
  Version 13 March 2017";
    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 "2017-03-17T22:57:14Z";
    String date_modified "2019-04-03T20:41:09Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.684634.1";
    String history 
"2024-11-15T01:45:41Z (local files)
2024-11-15T01:45:41Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_684634.das";
    String infoUrl "https://www.bco-dmo.org/dataset/684634";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Used to measure x-ray diffraction";
    String instruments_0_dataset_instrument_nid "684644";
    String instruments_0_description "An X-ray microscope uses electromagnetic radiation in the soft X-ray band to produce images of very small objects. The resolution of X-ray microscopy lies between that of the optical microscope and the electron microscope.";
    String instruments_0_instrument_name "X-Ray Microscope";
    String instruments_0_instrument_nid "565700";
    String instruments_0_supplied_name "Microscope";
    String keywords "angle, angle_2Theta, bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, experiment, experiment_type, intensity, management, oceanography, office, preliminary, theta, type";
    String license "https://www.bco-dmo.org/dataset/684634/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/684634";
    String param_mapping "{'684634': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/684634/parameters";
    String people_0_affiliation "Harvard University";
    String people_0_person_name "Peter Girguis";
    String people_0_person_nid "544586";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Harvard University";
    String people_1_person_name "David Clarke";
    String people_1_person_nid "623703";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Harvard University";
    String people_2_person_name "Aude Picard";
    String people_2_person_nid "684619";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "INSPIRE_Pyrite";
    String projects_0_acronym "INSPIRE_Pyrite";
    String projects_0_description 
"This INSPIRE award is partially funded by Biological Oceanography Program in Division of Ocean Sciences, in the Directorate of Geosciences; the Electronic and Photonic Materials Program in the Division of Materials Research, Directorate of Mathematical and Physical Sciences.
A simple idea motivates this project: By characterizing the mechanisms underlying pyrite film deposition by subsurface microbes living at hydrothermal vents, can approaches be developed to controllably grow high-purity pyrite films that could be used to produce low-cost photovoltaic solar cells? Recent in situ studies at hydrothermal vents have found \"subsurface\" microbes associated with the deposition of large crystalline metal sulfides (up to 1.1 millimeters), including iron pyrite. In laboratory incubations, vent microbes specifically deposited pyrite (FeS2), devoid of Zn, Cu and other metals that were abundant in the liquid media. Abiotic incubations did not exhibit this specificity. The investigators hypothesize that, in situ, microbes deposit pyrite via a number of potential processes, including a physiological process called extracellular electron transfer (EET), wherein microbes shuttle electrons to/from minerals. In situ, EET-enabled microbes may use conductive minerals to electrically access oxidants, and deposit pyrite on these surfaces. Vents are thus natural bioelectrochemical cells, which grow metal sulfides via microbial and abiotic electrochemical processes, though the details and mechanisms remain to be determined. This project is aimed at elucidating the mechanisms underlying microbial FeS2 pyrite bio-deposition, and assessing how microbes might be used to deposit epitaxial films for solar cells absorbers. FeS2 pyrite has been identified as prospective low cost solar absorbers because of their abundance, suitable band-gap (~0.95 eV) and high optical absorbance. Microbial pyrite film deposition at lower temperatures (";
    String projects_0_end_date "2017-08";
    String projects_0_name "INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers";
    String projects_0_project_nid "623700";
    String projects_0_start_date "2013-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "X-ray diffractogram data collected from 2013 to 2017 (INSPIRE Pyrite project)";
    String title "[Xray diffraction data] - X-ray diffractogram data collected from 2013 to 2017 (INSPIRE Pyrite project) (INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers)";
    String version "1";
    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.

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