The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-processing, analyzing, and visualizing materials data. Notebooks are curated using tags aligned to Materials Science and Data Science topics. REMI emerged from the realization that both experts and novices wanted examples of using machine learning for science. Meanwhile, lots of experts are developing digital notebooks (e.g. Jupyter) to demonstrate step-by-step data collection, pre-processing, analysis and visualization.

This dataset presents statistics for Manufacturing: Method of Inventory Valuation for the U.S.

This dataset presents statistics for Construction: Value of Business Done for Kind-of-Business for the U.S., Regions, and States

This dataset presents statistics for Manufacturing: Inventories with LIFO Valuation for the U.S.

This dataset presents statistics for Mining: inventories with LIFO valuation for the U.S.

This dataset presents statistics for Construction: Value of Construction Work for Location of Construction Work for U.S. and States

This dataset presents statistics for Construction: Location of Construction Establishments by Employment Size for the U.S. and States

This dataset presents statistics for Manufacturing: Location of Manufacturing Establishments by Employment Size for the U.S., States, and Counties

This dataset presents statistics for Mining: Location of Mines by Employment Size for Subsectors and Industries for the U.S., States, and Offshore Area.

The open dataset, software, and other files accompanying the manuscript "An Open Combinatorial Diffraction Dataset Including Consensus Human and Machine Learning Labels with Quantified Uncertainty for Training New Machine Learning Models," submitted for publication to Integrated Materials and Manufacturing Innovations.