NIST Materials Data Repository
The National Institute of Standards and Technology has created a materials science data repository as part of an effort in coordination with the Materials Genome Initiative (MGI) to establish data exchange protocols and mechanisms that will foster data sharing and reuse across a wide community of researchers, with the goal of enhancing the quality of materials data and models. Data present on this system are varied and may originate from within NIST or from the worldwide materials community. Data present on this system may or may not be critically reviewed.
All data in this repository are intended to be public; some data may be a part of invitation-only collections while researchers continue to analyze the data prior to publication, with the goal of making the public data presentable in a meaningful way. Publishable data derived from working data will be made public at the appropriate time (this may coincide with end of a grant or when the data has been accepted for publication).
The NIST Materials Data Repository is open to the research community interested in developing best practices in the management of materials data. We are currently looking into use cases for expansion of the site including, but not limited to, partnerships with other projects focusing on discoverability.
Anyone having an interest in an invitation-only collection should contact the site administrator for more information.
Multivariate Analysis of High Through-Put Adhesively Bonded Single Lap Joints: Experimental and Work Flow Protocols – Constitutive mechanical properties (2018-05-31)Tensile stress-strain mechanical test results and analysis for the adhesives and aluminum adherend.
(2007)Experimental thermochemical and related data for rare earth sesquioxides, R2O3 (R = Sc, Y, La–Lu) are critically reviewed to provide a consistent set of thermodynamic functions covering the temperature range from at least ...
(2018-05-04)This dataset consists of scanning electron micrographs accompanied by microconstituent annotations, and is intended as a community benchmark dataset for microstructure segmentation and clustering tasks. The dataset consists ...
(2015-11-06)A system design approach using an Integrated Computational Materials Engineering (ICME) was used to design three new low-cost seamless replacement coinage alloys to reduce the raw material of the current US coinage alloys. ...