5. Materials Data Repositories

Materials Informatics definitely has a data problem! Compared to many other domains Materials Informatics has small, heterogeneous data sets. However, over time this has been improving! In this video, we go over many of the common materials data repositories. We talk about FAIR data principles to ensure that data is findable, accessible, interoperable, and reusable. We cover DFT databases like OQMD, AFLOW, and Materials Project as well as general databases like Materials Data Facility and Citrination as well as many smaller niche datasets published in outlets like Data in Brief or Integrating Materials and Manufacturing Innovation. Finally, we talk about benchmark data sets including matbench and others and then the different materials data file formats available including .cif, .pif, and .gemd
Links to lists of lists:
github.com/blaiszik/Materials...
github.com/tilde-lab/awesome-...
github.com/sedaoturak/data-re...
Links to DFT databases:
oqmd.org/
www.aflowlib.org/
materialsproject.org/
Links to general databases:
www.materialsdatafacility.org/
citrination.com/
nanohub.org
Links to benchmark databases:
link.springer.com/article/10....
github.com/anhender/mse_ML_da...
hackingmaterials.lbl.gov/matb...
Crystal Structure Databases:
www.fiz-karlsruhe.de/en/produ...
www.icdd.com/
www.crystalimpact.com/pcd/
crystallography.net/cod/search...
File formats:
en.wikipedia.org/wiki/Crystal...
citrineinformatics.github.io/...
0:00 Where do we find materials data?
2:07 FAIR data principles with bad examples
4:00 Mining data from literature articles
7:05 lists of materials databases
9:35 DFT databases
14:29 non-DFT databases
17:50 benchmark datasets
19:45 crystal structure databases
21:47 file formats
Check out the whole materials informatics series at • Materials Informatics with workbooks and course notes available at github.com/sp8rks/MaterialsIn...

[@pencillab6476]

Thank you for making these videos…

[@jaewan234]

These are wonderful resources! Thanks for sharing! I learned so much in this video.

[@debanshubanerjee8174]

Thanks for this video! A lot of interesting datasets to experiment upon.

[@NejibTunisia]

Great video. Thank you for sharing !

[@jesuscamilodiazolivella6296]

Wow! These are very useful resources!

[@mhdsukritan]

Thanks for sharing sir

[@alirezadashti4485]

Wonderful course!

[@TaylorSparks]

Thanks homie! I'll be adding more this coming school year when I reach it again