Contribute Data

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Contribute Data
How to contribute your own user-created data to the Materials Project (MP database/website.
Under Construction
visit contribute page
use python client (see persson group talk and/or workshop lesson)
The MPContribs API provides programmatic access to experimental and theoretical data contributed by the MP community. Project information is retrievable through the projects resource, and the corresponding contributed data through the contributions resource. Each project can contain many contributions for an MP material or composition. Each contribution in turn consists of three (optional) components: free-form hierarchical data, tabular data, and crystal structures. There are separate dedicated resource endpoints for tables and structures. Descriptions of fields available in MPContribs resources are shown below. Check out the API Docs for more details and to try out the API in the browser.
Projects
field
description
name
short URL-compatible name
is_public
whether the project is publicly available
title
short title to fit on contribution cards
long_title
long title to show on dataset/project landing page
authors
comma-separated list of authors
description
paragraph to describe project/dataset
references
list of references in form of dictionaries with label and url fields
other
optional free-form content applicable to all contributions
owner
owner/submitter of the project
is_approved
whether the project has been approved by an admin
unique_identifiers
whether identifiers in contributions are unique
the name field will also be used in the unique URL to the landing page, i.e. https://contribs.materialsproject.org/<name>
If you need to unset/delete a field from other, set it to None
Contributions
field
description
id
unique contribution ID
project
identifier for project to which this contribution belongs
identifier
material ID (mp-id) or composition
is_public
whether the contribution is publicly available
data
hierarchical free-form data
The preferred data format is to provide numerical data as strings with units rather than naked numerical values. This will be parsed by the API to yield a value and a unit for display. This promotes the correct reporting of significant figures as well.
The data structure that is retrieved by users querying MPContribs will not be identical to the one you upload: the API parses things (like string/unit values) and returns the resulting data structure
underscores, spaces, or other punctuation aren’t allowed in data field names
the id attribute of a contribution is set automatically
the identifier attribute is user-specified. If project level unique_identifiers is False, duplicate identifiers will cause submission failure
lists aren’t allowed in contributions
data cannot contain more than 4 levels of nesting
NaN values converted from pandas dataframes cause submission to fail
Tables
field
description
id
unique table ID
contribution
identifier for contribution to which this table belongs
is_public
whether the table is publicly available
name
table name (unique together with contribution)
columns
table header / column names
data
table rows (see Pandas Docs)
Structures
field
description
id
unique structure ID
contribution
identifier for contribution to which this structure belongs
is_public
whether the structure is publicly available
name
table name (unique together with contribution)
lattice
pymatgen lattice​
sites
list of pymatgen sites​
Downloading Data - Previous
Query and Download Contributed Data
Next - Data Production
Data Workflows
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