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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta property="og:type" content="website" />
<meta property="og:title" content="Materials Platform for Data Science" />
<meta property="og:site_name" content="MPDS.IO"/>
<meta property="og:description" content="Online PAULING FILE materials database with nearly 2 million data entries (physical properties, crystal structures, phase diagrams) available via API, ready for modern data-intensive applications." />
<meta property="og:image" content="https://mpds.io/wm_logo_opt.png" />
<meta property="og:image:type" content="image/png" />
<meta property="og:image:width" content="225" />
<meta property="og:image:height" content="224" />
<meta property="og:url" content="https://mpds.io">
<meta name="twitter:card" content="summary" />
<meta name="twitter:site" content="@mpdsio" />
<meta name="twitter:title" content="Materials Platform for Data Science" />
<meta name="twitter:creator" content="@tildepro" />
<meta name="twitter:image" content="https://mpds.io/wm_logo_opt.png" />
<meta name="twitter:image:alt" content="Online materials data-mining platform" />
<meta name="twitter:description" content="Online PAULING FILE materials database with nearly 2 million data entries (physical properties, crystal structures, phase diagrams) available via API, ready for modern data-intensive applications." />
<meta name="description" content="Online PAULING FILE materials database with nearly 2 million data entries (physical properties, crystal structures, phase diagrams) available via API, ready for modern data-intensive applications." />
<meta name="keywords" content="materials platform, physical properties, phase diagrams, crystalline structures, materials database, PAULING FILE" />
<meta name="subject" content="materials informatics" />
<meta name="url" content="https://mpds.io" />
<meta name="rating" content="General" />
<meta name="author" content="feedback@tilde.pro" />
<meta name="robots" content="notranslate" />
<title>MPDS API docs</title>
<style>
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') format('woff');
}
*{font-family:Exo2,Georgia;margin:0;padding:0;}
html, body{height:100%;-webkit-text-size-adjust:100%;text-size-adjust:100%;}
sup, sub{font-size:12px;}
body.sky{background:repeating-linear-gradient(60deg, #fff, #fff 44%, rgba(255,255,255,0) 44%, rgba(255,255,255,0) 78%), linear-gradient(to bottom, #DBF2FF 0%, #fff 6%);background-attachment:fixed;}
#overlay{display:none;position:fixed;left:0;top:0;width:100%;height:100%;text-align:center;z-index:100;background:#fff;opacity:0.75;overflow:hidden;}
/* COMMON NAVBAR START */
#nav{position:fixed;top:0;left:0;height:34px;z-index:101;background:#fff;font-size:0.9em;padding:0 3px;border-bottom-right-radius:4px;line-height:33px;border-bottom:1px solid #888;border-right:1px solid #888;cursor:pointer;box-shadow:6px 6px 4px -3px rgba(0,0,0,0.4);}
#nav li{list-style:none;float:left;font-weight:bold;margin:0 7px;}
#nav a{text-decoration:none;color:#555;}
#nav a:hover{border-bottom:1px solid #000;}
li.nav_fluid{display:none;}
/* COMMON NAVBAR END */
#menu{display:none;position:fixed;left:0;top:170px;width:12.5%;height:auto;z-index:100;}
#menu li{text-align:left;list-style:none;letter-spacing:-0.5px;}
#menu a{display:block;}
#menu > ul > li > a{text-decoration:none;color:#900;border-bottom:1px solid #900;padding:4px 0;font-size:2vmin;padding-left:5px;line-height:2.5vmin;}
#menu > ul > li > a:hover, #menu > ul > li > a.active {color:#fff;background:#900;}
#menu > ul > li > ul > li > a{text-decoration:none;color:#222;border-bottom:1px solid #222;padding:4px 0;font-size:1.8vmin;padding-left:18px;line-height:2.3vmin;}
#menu > ul > li > ul > li > a:hover, #menu > ul > li > ul > li > a.active {color:#fff;background:#222;}
#bookmarks{display:none;position:fixed;right:0;top:171px;width:12.5%;height:auto;z-index:100;}
#bookmarks li{text-align:left;list-style:none;letter-spacing:-0.5px;}
#bookmarks a{display:block;}
#bookmarks > ul > li:first-child {border-top:1px solid #222;}
#bookmarks > ul > li > a{text-decoration:none;color:#222;border-bottom:1px solid #222;font-size:0.9em;padding:3px 1px;line-height:2.3vmin;}
#bookmarks > ul > li > a:hover{color:#fff;background:#222;}
div.modal_dialogue{position:fixed;top:10%;left:50%;border-radius:4px;border:1px solid #999;box-shadow:15px 15px 10px -5px rgba(0,0,0,0.4);}
div.cross{float:right;width:16px;height:16px;font-size:10px;text-align:center;cursor:pointer;background:url(data:image/gif;base64,R0lGODlhEAAQAJEAAAAAAP///1VVVf///yH5BAEAAAMALAAAAAAQABAAAAIjnI+py6L+BDRy0gqxHVqvLjGcJ3Yl+IEhQpLX+m7wMYv2PRQAOw==) no-repeat;}
span.href{cursor:pointer;text-decoration:none;color:#3e3f95;border-bottom:1px solid #3e3f95;}
#response{white-space:pre;}
#logo_bg{display:none;width:250px;height:250px;position:fixed;z-index:-1;right:5px;bottom:20px;background:url(https://tutorial.mpds.io/mpds.png) left top no-repeat;background-size:100%;opacity:0.1;}
#notifybox{z-index:201;position:fixed;top:12px;right:4px;min-width:150px;background:#fc6;border-radius:5px;padding:20px 25px;font-size:1.2em;line-height:1.45em;}
#main{width:100%;min-height:100%;height:auto !important;height:100%;margin-bottom:-33px;}
h1{font-size:100%;font-weight:normal;display:inline;}
h2, h3{line-height:2.2em;font-size:1.6em;font-weight:bold;color:#900;}
h2:first-letter , h3:first-letter {color:#222;}
h3{line-height:2.2em;font-size:1.2em;}
div.spacer{width:790px;margin:0 auto;height:1px;border-top:1px solid #ccc;}
#content{width:790px;margin:0 auto;background:#fff;padding:0 15px 40px;border-radius:15px;}
#content > p{font-size:1.05em;line-height:1.7em;color:#666;margin:18px 0;padding:20px 6px;border-radius:4px;background:#f9f9f9;}
#content > p:first-letter {font-size:1.6em;font-weight:bold;}
#content a{color:#222;text-decoration:none;border-bottom:1px solid #222;}
#content > table{width:auto;margin:20px 0;font-size:0.9em;text-align:left;color:#666;border-collapse:collapse;border-spacing:0;}
#content > table td{line-height:2em;border:1px solid #ddd;padding:4px 2px;}
#content > table th{line-height:2.2em;border:1px solid #ddd;background:#f6f6f6;padding:4px 2px;font-size:1.1em;}
span.t{font-family:'Courier New',Courier;background:#aaa;color:#fff;padding:1px 2px;}
div.blackbg{background:#2b2b2b;font-size:0.9em;color:#fff;font-family:'Courier New',Courier;line-height:1.6em;margin:20px 0;padding:10px 5px;border-radius:4px;white-space:pre;}
div.caption{text-align:center;font-size:0.9em;line-height:2em;color:#666;margin:20px 0 30px;}
div.caption b{font-style:normal;}
/* LOGOS */
#landing_box{width:590px;margin:0 auto;height:170px;padding:20px 0;}
#logo_l{float:left;width:230px;margin-left:15px;font-size:3em;text-align:right;padding-top:38px;letter-spacing:24px;color:#555;font-weight:normal;}
#logo{float:left;width:140px;height:130px;background:url(https://tutorial.mpds.io/mpds.png) center center no-repeat;background-size:85%;}
#logo a{display:block;width:100%;height:100%;border:0;}
#logo_r{float:left;width:175px;margin-left:15px;font-size:1.2em;line-height:1.3em;text-align:left;font-weight:normal;padding-top:42px;color:#555;}
#motto{clear:both;width:100%;height:33px;text-align:left;padding-top:20px;padding-left:80px;letter-spacing:0.5px;font-size:0.95em;color:#333;}
#motto a{text-decoration:none;color:#333;border-bottom:1px solid #333;}
/* FOOTER */
/* HEIGHT 32px */
#footer{width:100%;height:24px;padding-top:8px;text-align:center;font-size:0.85em;color:#888;background:#f6f6f6;border-top:1px solid #888;}
#footer a{text-decoration:none;color:#888;border-bottom:1px solid #888;}
#twitter{position:fixed;z-index:3;bottom:0;left:0;width:13.5%;height:32px;text-align:center;}
#twitter a{text-decoration:none;font-size:0.85em;font-weight:bold;color:#333;line-height:32px;}
/* MEDIA-QUERIES */
@media all and (min-width:1100px){
#menu, #bookmarks{display:block;}
li.nav_fluid {display:inline-block;}
}
/* DOCSON */
.docson {
font-family: 'Droid Sans',verdana,helvetica;font-size: 13px;padding: 6px 6px 6px 6px;
}
.docson .box {
position: relative;float: left;background-color:rgba(255, 255, 255, 0.2);border: 1px solid lightgrey;border-radius: 4px;-moz-border-radius: 4px;-webkit-border-radius: 4px;padding-bottom: 10px;-moz-box-shadow: 1px 1px 1px darkgray;-webkit-box-shadow: 1px 1px 1px darkgray;box-shadow: 1px 1px 1px darkgray;
}
.docson .expand-button {
position: absolute;margin-top: 15px;padding: 2px;right: 2px;float: right;width: 18px;text-align: center;cursor: pointer;font-weight: bold;font-family: "Lucida Console", Monaco, monospace;font-size: 15px;color: darkgray;display: none;
}
.docson .source-button {
position: absolute;padding: 2px;margin-top: 3px;right: 2px;width: 18px;text-align: center;cursor: pointer;font-weight: bold;font-family: "Lucida Console", Monaco, monospace;font-size: 10px;color: darkgray;display: none;
}
.docson .box-header {
padding: 6px;border-top-left-radius: 4px;border-top-right-radius: 4px;border-bottom: 1px solid lightgrey;background: whitesmoke;
}
.docson .box-name {
color: darkblue;padding: 5px 40px 2px 3px;float: left;
}
.docson .title {
margin-top: -3px;font-size: 120%;
}
.docson .link {
text-decoration: underline;
}
.docson .box-description {
color: dimgray;float: left;max-width: 600px;
}
.docson .end {
clear: both;
}
.docson .error {
color: red;
}
.docson .box-body {
padding-left: 10px;padding-right: 28px;clear: both;
}
.docson .box-1 {
background: whitesmoke;
}
.docson .box-2 {
background: beige;background: -webkit-linear-gradient(white, beige, beige, gainsboro);background: -moz-linear-gradient(white, beige, beige, gainsboro);
}
.docson .box-3 {
background: azure;background: -webkit-linear-gradient(white, azure, azure, gainsboro);background: -moz-linear-gradient(white, azure, azure, gainsboro);
}
.docson .box-4 {
background: mistyrose;background: -webkit-linear-gradient(white, mistyrose, mistyrose, gainsboro);background: -moz-linear-gradient(white, mistyrose, mistyrose, gainsboro);
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<div id="logo_l">MPDS</div><div id="logo"><a href="https://mpds.io"></a></div><div id="logo_r"><h1>Materials Platform<br />for Data Science</h1></div>
<div id="motto">based on the <a href="http://paulingfile.com" target="_blank" rel="noopener noreferrer">PAULING FILE</a> experimental inorganic database</div>
</div>
<div class="spacer"></div>
<div id="content">
<p style="background:#f4fbff;">The MPDS application programming interface (API) presents the materials data of the <a href="http://paulingfile.com" target="_blank">PAULING FILE</a> database <i>online</i> in the machine-readable formats, suitable for automated processing. The intended audience is software engineers and data scientists. The API is available by a subscription (SLA). To start using the API the reader needs a valid API key from the <a href="https://mpds.io/#modal/menu">MPDS account</a>. We encourage to <a href="mailto:mpds-api@tilde.pro">contact us</a> for opening such the account.</p>
<p style="background:#fdffe8;">Some parts of data are opened and freely available. In particular, these are: (<i>a</i>) <strong>cell parameters - temperature diagrams</strong> and <strong>cell parameters - pressure diagrams</strong>, (<i>b</i>) all data for compounds containing <strong>both Ag and K</strong>, (<i>c</i>) all data for <strong>binary</strong> compounds of <strong>oxygen</strong>, (<i>d</i>) all data generated by <strong>machine learning</strong>, and (<i>e</i>) all data generated by <strong>first-principles calculations</strong>. Please, login via <a target="_blank" href="https://mpds.io/github_oauth.html" rel="nofollow noopener noreferrer">GitHub</a> to get the API access to these data.</p>
<p style="background:#f4fbff;">A tech-savvy reader may also explore <a href="https://github.com/mpds-io/mpds-api/tree/gh-pages/notebooks">Jupyter notebooks</a> (also in <a target="_blank" href="https://mybinder.org/v2/gh/mpds-io/mpds-api/gh-pages?filepath=notebooks">Binder</a>) and <a href="https://github.com/mpds-io/mpds-api/tree/gh-pages/kickoff">kickoff Python demos</a>. <strong>Important</strong>: using the API keys within the third-party environment like Binder is potentially insecure and should be done with the greatest care.</p>
<h2 id="Downloading-data">§1. Downloading data</h2>
<h3 id="Overview-1">§1.1. MPDS data structure</h3>
<p class="view">The standard unit of the MPDS data is an <strong>entry</strong>. All the MPDS entries are subdivided into three kinds: <strong>crystalline structures</strong>, <strong>physical properties</strong>, and <strong>phase diagrams</strong>. They are called S-, P- or C-entries, correspondingly. Entries have persistent identifiers (similar to DOIs), <i>e.g.</i> <span class="t">S377634</span>, <span class="t">P600028</span>, <span class="t">C100027</span>.</p>
<p class="view">Another dimension of the MPDS data is the <strong>distinct phases</strong>. The three kinds of entries are interlinked via the distinct materials phases they belong. A tremendous work was done by the PAULING FILE team in the past 20 years to manually distinguish more than 100 000 inorganic materials phases, appearing in the literature. Each phase has a unique combination of (<i>a</i>) chemical formula, (<i>b</i>) space group, (<i>c</i>) Pearson symbol. Each phase has an integer identifier called <span class="t">phase_id</span>.</p>
<p class="view">Consider the following example of the <strong>entries</strong> and <strong>distinct phases</strong>. There can be the following distinct phases for the titanium dioxide: rutile with the space group <i>136</i> (let us say, <span class="t">phase_id 1</span>), anatase with the space group <i>141</i> (<span class="t">phase_id 2</span>), and brookite with the space group <i>61</i> (<span class="t">phase_id 3</span>). Then the S- and P-entries for the titanium dioxide must refer to either <span class="t">1</span>, or <span class="t">2</span>, or <span class="t">3</span>, and the C-entries must refer to <span class="t">1</span>, <span class="t">2</span>, and <span class="t">3</span> simultaneously.</p>
<p class="view">Our new development is the <strong>machine-learning</strong> data generated from the original <strong>peer-reviewed</strong> data for the less known phases. Such data are always clearly attributed and not supplied by default. So far only the P-entries (8 physical properties) were predicted and thus can be of the machine-learning data type. See below how to enable these data in the API outputs.</p>
<h3 id="Categories">§1.2. Categories of data</h3>
<p class="view">The most common task is to get the MPDS data according to some criteria. We support 14 basic criteria for searching and downloading the entries:</p>
<table class="view" id="T1">
<thead>
<tr>
<th>Facet</th>
<th>Machine-readable name</th>
<th>Examples</th>
</tr>
</thead>
<tbody>
<tr>
<td>Physical properties (see the <a href="https://mpds.io/#hierarchy">MPDS physical properties hierarchy</a>,<br />numerical properties specifically)</td>
<td><span class="t">props</span></td>
<td><span class="t">conductivity</span></td>
</tr>
<tr>
<td>Chemical elements</td>
<td><span class="t">elements</span></td>
<td><span class="t">Cs</span>, <span class="t">Fr-O</span></td>
</tr>
<tr>
<td>Materials classes (various groups of terms: <i>i.e.</i> mineral names, periodic groups, physical classes, element count keywords <i>etc.</i>, see <a href="https://tutorial.mpds.io/#L1">examples</a>)</td>
<td><span class="t">classes</span></td>
<td><span class="t">perovskite</span>, <span class="t">quaternary</span></td>
</tr>
<tr>
<td>Crystal system</td>
<td><span class="t">lattices</span></td>
<td><span class="t">orthorhombic</span></td>
</tr>
<tr>
<td>Chemical formula</td>
<td><span class="t">formulae</span></td>
<td><span class="t">SrTiO3</span>, <span class="t">O3Al2</span></td>
</tr>
<tr>
<td>Space group (number or international short symbol)</td>
<td><span class="t">sgs</span></td>
<td><span class="t">221</span>, <span class="t">Pm-3m</span></td>
</tr>
<tr>
<td>Prototype system (<a href="https://tutorial.mpds.io/#L3">"Strukturbericht"</a> or formula, Pearson symbol, space group number)</td>
<td><span class="t">protos</span></td>
<td><span class="t">D51</span>,<br /><span class="t">SiS2 oI12 72</span></td>
</tr>
<tr>
<td>Polyhedron atoms (center, ligands)</td>
<td><span class="t">aeatoms</span></td>
<td><span class="t">U</span>, <span class="t">X-Se</span>, <span class="t">UO6</span>, <span class="t">UX7</span><br />(<span class="t">X</span> = any atom)</td>
</tr>
<tr>
<td>Polyhedral type (see <a href="https://tutorial.mpds.io/#L4">all supported types</a>)</td>
<td><span class="t">aetype</span></td>
<td><span class="t">icosahedron 12-vertex</span></td>
</tr>
<tr>
<td>Publication author</td>
<td><span class="t">authors</span></td>
<td><span class="t">Evarestov</span></td>
</tr>
<tr>
<td>CODEN (code of publication journal, see <a href="http://cassi.cas.org">CODEN index</a>)</td>
<td><span class="t">codens</span></td>
<td><span class="t">PPCPFQ</span></td>
</tr>
<tr>
<td>Publication years</td>
<td><span class="t">years</span></td>
<td><span class="t">1960-1990</span></td>
</tr>
<tr>
<td>Author location</td>
<td><span class="t">geos</span></td>
<td><span class="t">United Arab Emirates</span></td>
</tr>
<tr>
<td>Author organization</td>
<td><span class="t">orgs</span></td>
<td><span class="t">CSIRO</span></td>
</tr>
</tbody>
</table>
<div class="caption" data-id="T1"><b>Table 1.</b> Categories of MPDS data.</div>
<p class="view">Thus, in an API request it is possible to combine all these criteria in a reasonable manner. Combination is always done implying conjunctive <span class="t">AND</span> operator. The reasonable manner means one can combine <i>e.g.</i> <strong>publication authors</strong> with <strong>publication years</strong>, but cannot combine <strong>chemical formulae</strong> with <strong>chemical elements</strong> or <strong>space group</strong> with <strong>crystal system</strong>, <i>i.e.</i> the common sense rules are implied.</p>
<p>We distinguish the single-term categories, such as the physical properties and crystal systems, and many-term categories, such as the materials classes and publication authors. A combination of terms from the single-term category is <i>not</i> supported. That is, one <i>cannot</i> search for both <span class="t">band gap</span> and <span class="t">conductivity</span>. A combination of terms from the many-term category is easily possible. That is, one <i>can</i> search for both <span class="t">binaries</span> and <span class="t">perovskites</span>.</p>
<h3 id="REST-endpoint">§1.3. REST-alike download endpoint</h3>
<p class="view">To serve data we employ the <a href="https://en.wikipedia.org/wiki/Representational_state_transfer">REST</a>-alike endpoint, following the <a href="https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol">HTTP</a> protocol basics. We support input parameters in the query string and request header. We provide the <a href="https://en.wikipedia.org/wiki/List_of_HTTP_status_codes">standard HTTP status codes</a> in response. The address of the data download endpoint is the following:</p>
<div class="blackbg">https://api.mpds.io/v0/download/facet</div>
<p class="view">The HTTP verb to be used is always <span class="t">GET</span>. The header must always contain the <span class="t">Key</span> string with the valid MPDS API key, obtained from the corresponding <a href="https://mpds.io/#modal/menu">MPDS account</a>. A minimal <span class="t">curl</span> example looks:</p>
<div class="blackbg">curl -H Key:a_long_secret_string https://api.mpds.io/v0/download/facet</div>
<p class="view">The following query string parameters are supported:</p>
<table class="view" id="T2">
<thead>
<tr>
<th>Parameter</th>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="t">q</span></td>
<td><span class="t">JSON-serialized object</span></td>
<td>The object <span class="t">q</span> may contain any reasonable combination of criteria, given in the Table 1, column "Machine-readable name". Always required.</td>
</tr>
<tr>
<td><span class="t">phases</span></td>
<td><span class="t">string or integer</span></td>
<td>Distinct phase identifiers (called <span class="t">phase_id</span>'s) separated by commas can be optionally supplied to limit the search. This is convenient for programmatic chained searches. A relevant <span class="t">q</span> parameter must be always given. The count of <span class="t">phase_id</span>'s cannot exceed <span class="t">1000</span>.</td>
</tr>
<tr>
<td><span class="t">dtype</span></td>
<td><span class="t">integer</span></td>
<td>Data type. Possible values: <span class="t">1</span> or <span class="t">MPDSDataTypes.PEER_REVIEWED</span> (original data), <span class="t">2</span> or <span class="t">MPDSDataTypes.MACHINE_LEARNING</span> (data generated via machine learning), <span class="t">4</span> or <span class="t">MPDSDataTypes.AB_INITIO</span> (in-house simulations data), and <span class="t">7</span> or <span class="t">MPDSDataTypes.ALL</span> (all mentioned types). Default value: <span class="t">1</span> (original data).</td>
</tr>
<tr>
<td><span class="t">pagesize</span></td>
<td><span class="t">integer</span></td>
<td>The maximum number of hits per a single response (pagination). Default value: <span class="t">10</span>. Allowed values: <span class="t">10</span>, <span class="t">100</span>, <span class="t">500</span>, and <span class="t">1000</span>.</td>
</tr>
<tr>
<td><span class="t">page</span></td>
<td><span class="t">integer</span></td>
<td>The page number, either in the selected or in the default pagination. Counts from <span class="t">0</span>. Defaults to the first page, which has number <span class="t">0</span>, <i>i.e.</i> the default value is <span class="t">0</span>.</td>
</tr>
<tr>
<td><span class="t">fmt</span></td>
<td><span class="t">integer</span></td>
<td>Output data format. Can be <span class="t">json</span> or <span class="t">cif</span>. The latter <span class="t">cif</span> only makes sense for <strong>crystalline structures</strong>. Default value: <span class="t">json</span>.</td>
</tr>
</tbody>
</table>
<div class="caption" data-id="T2"><b>Table 2.</b> Query string parameters for download endpoint.</div>
<p class="view">An example of the <span class="t">q</span> parameter to request the <strong>crystalline structures</strong> (with the spaces and line breaks added for readability):</p>
<div class="blackbg view">{
"elements": "Sr-Ti-O",
"classes": "perovskite, conductor",
"sgs": "Pm-3m",
"props": "structural properties"
}</div>
<p class="view">Another example of the <span class="t">q</span> parameter to request the <strong>physical properties</strong>:</p>
<div class="blackbg view">{
"elements": "Zr",
"classes": "oxide",
"props": "thermal expansion"
}</div>
<p class="view">By default the response has <span class="t">json</span> format, containing the following properties: <span class="t">out</span> (list <i>i.e.</i> array of the MPDS entries), <span class="t">npages</span> (number of pages in the selected or default pagination), <span class="t">page</span> (current page number), <span class="t">count</span> (total number of hits), and <span class="t">error</span> (should be <span class="t">null</span>). Some other properties might be added in future.</p>
<p class="view">Each kind of entries (<i>i.e.</i> S- or P-entries) has its own specific properties in <strong>JSON</strong> (see below).</p>
<div class="blackbg view">{
"error": null,
"out": [
{
"entry_one_properties": "entry_one_values"
},
{
"entry_two_properties": "entry_two_values"
}
],
"npages": 1,
"page": 0,
"count": 2
}</div>
<p class="view">And if no results are found:</p>
<div class="blackbg view">{
"error": null,
"out": [],
"npages": 0,
"count": 0,
"page": 0
}</div>
<p class="view">The output in <span class="t">cif</span> format presents nothing more than concatenated <strong>CIF</strong>s in a plain text.</p>
<p class="view">The response for a correctly understood request will always have the status code <span class="t">200</span>, whereas the status codes <span class="t">400</span> ("Wrong parameters") or <span class="t">403</span> ("Forbidden") may signal about an error in the request. Also, <span class="t">429</span> ("Too many requests") tells that the request rate should be decreased. Generally, checking the response status code should be always done first.</p>
<h3 id="JSON-schemata">§1.4. JSON schemata of the MPDS entries</h3>
<p class="view" id="L1">JSON is the first-class-passenger format in the MPDS API. We provide <a href="http://developer.mpds.io/mpds.schema.json">JSON schemata</a> for all kinds of the MPDS entries in the API output. This is visualized below:</p>
<div id="schema_crystal_structure" class="view"></div>
<div class="caption" data-id="L1" id="L2"><b>Listing 1.</b> Interactive JSON schema for crystalline structure or S-entry (<span class="t">object</span>s are clickable).</div>
<div id="schema_physical_property" class="view"></div>
<div class="caption" data-id="L2" id="L3"><b>Listing 2.</b> Interactive JSON schema for physical property or P-entry (<span class="t">object</span>s are clickable).</div>
<div id="schema_phase_diagram" class="view"></div>
<div class="caption" data-id="L3"><b>Listing 3.</b> Interactive JSON schema for phase diagram or C-entry (<span class="t">object</span>s are clickable).</div>
<p class="view">Any MPDS API JSON output can be validated against the above schemata <i>e.g.</i> using a Python script below. In the following example the external <span class="t">httplib2</span> and <span class="t">jsonschema</span> Python packages are used:</p>
<div id="json_validate" class="view">
<pre id="L4"><code>#!/usr/bin/env python
import sys
import json
import httplib2
from jsonschema import validate, Draft4Validator
from jsonschema.exceptions import ValidationError
try: input_json = sys.argv[1]
except IndexError: sys.exit("Usage: %s input_json" % sys.argv[0])
network = httplib2.Http()
response, content = network.request("http://developer.mpds.io/mpds.schema.json")
assert response.status == 200
schema = json.loads(content)
Draft4Validator.check_schema(schema)
target = json.loads(open(input_json).read())
if not target.get("npages") or not target.get("out") or target.get("error"):
sys.exit("Unexpected API response")
try:
validate(target["out"], schema)
except ValidationError, e:
raise RuntimeError(
"The item: \r\n\r\n %s \r\n\r\n has an issue: \r\n\r\n %s" % (
e.instance, e.context
)
)
</code></pre>
</div>
<div class="caption view" data-id="L4"><b>Listing 4.</b> Python console script for JSON validation.</div>
<p class="view">All the MPDS data are expected to be valid against the supplied schemata.</p>
<h3 id="Example-scripts">§1.5. Example scripts</h3>
<p class="view">Below are simple examples for the MPDS data retrieval in two programming languages: <strong>Python</strong> and <strong>JavaScript</strong>. More languages can be added by request. Note, that here the Python example requires an external package <span class="t">httplib2</span>. We provide more convenient <a href="https://github.com/mpds-io/python-api-client">Python client library</a>, so these examples here serve demonstration purposes only.</p>
<div id="example_python" class="view">
<pre id="L5"><code>#!/usr/bin/env python
from urllib import urlencode
import httplib2
import json
api_key = "" # your key
endpoint = "https://api.mpds.io/v0/download/facet"
search = {
"elements": "Mn",
"classes": "binary, oxide",
"props": "isothermal bulk modulus", # see https://mpds.io/#hierarchy
"lattices": "cubic"
}
req = httplib2.Http()
response, content = req.request(
uri=endpoint + '?' + urlencode({
'q': json.dumps(search),
'pagesize': 10,
'dtype': 2 # see parameters documentation above
}),
method='GET',
headers={'Key': api_key}
)
if response.status != 200:
# NB 400 means wrong input, 403 means authorization issue etc.
# see https://en.wikipedia.org/wiki/List_of_HTTP_status_codes
raise RuntimeError("Error code %s" % response.status)
content = json.loads(content)
if content.get('error'): raise RuntimeError(content['error'])
print "OK, got %s hits" % len(content['out'])
</code></pre>
</div>
<div class="caption view" data-id="L5"><b>Listing 5.</b> Sample Python script for working with MPDS API.</div>
<div id="example_js" class="view">
<pre id="L6"><code>#!/usr/bin/env node
var https = require('https');
var qs = require('querystring');
var api_key = ""; // your key
var host = "api.mpds.io", port = 443, path = "/v0/download/facet";
var search = {
"elements": "Mn",
"classes": "binary, oxide",
"props": "isothermal bulk modulus", // see https://mpds.io/#hierarchy
"lattices": "cubic"
};
https.request({
host: host,
port: port,
path: path + '?' + qs.stringify({q: JSON.stringify(search), pagesize: 10, dtype: 2}),
method: 'GET',
headers: {'Key': api_key}
}, function(response){
var result = '';
if (response.statusCode != 200){
// NB 400 means wrong input, 403 means authorization issue etc.
// see https://en.wikipedia.org/wiki/List_of_HTTP_status_codes
return console.error('Error code: ' + response.statusCode);
}
response.on('data', function(chunk){
result += chunk;
});
response.on('end', function(){
result = JSON.parse(result);
if (result.error) console.error(result.error);
else {
console.log('OK, got ' + result.out.length + ' hits');
}
});
}).on('error', function(err){
console.error('Network error: ' + err);
}).end();
</code></pre>
</div>
<div class="caption view" data-id="L6"><b>Listing 6.</b> Sample JavaScript code for working with MPDS API.</div>
<h3 id="API-GUI">§1.6. API and GUI</h3>
<p class="view">The MPDS data provided in API and <a href="https://mpds.io/#start">GUI</a> (graphical user interface) are generally the same. There are however two important points to consider.</p>
<p class="view">First, the GUI is intended for the human researchers, not for the automated processing. Therefore the data in GUI are less rigorously formatted, being thus closer to the original publications (which, of course, impedes machine analysis).</p>
<p class="view">Second, some portion of data (~15%) present in the GUI is absent in the API. This is because currently a number of MPDS entries has only textual content or even no content at all (in process of preparation), <i>i.e.</i> present little value for the data mining. However, we make our best to expose the maximum MPDS data in the API, and this is the work in progress.</p>
<p class="view">To summarize, the API differs from GUI in the following: (<i>a</i>) machine-readable (and to a certain extent <i>machine-understandable</i>), (<i>b</i>) programmer-friendly, pluggable and integration-ready, (<i>c</i>) massively exposing the data, <i>i.e.</i> all the MPDS content can be analyzed in minutes. Thus, thanks to the API, the MPDS platform can be used in variety of the other scientific ways, which we had never designed. So the researchers get unprecedented flexibility and power, which is unthinkable within the GUI.</p>