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Cite this dataset Sriram, A., Brabson, L. M., Yu, X., Choi, S., Abdelmaqsoud, K., Moubarak, E., Haan, P., Löwe, S., Brehmer, J., Kitchin, J. R., Welling, M., Zitnick, C. L., Ulissi, Z., Medford, A. J., and Sholl, D. S. Open Direct Air Capture ODAC2025 Val Full. ColabFit, 2025. https://doi.org/None

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Dataset Name

Open Direct Air Capture ODAC2025 Val Full

Description

The full (unfiltered) validation split of ODAC25.Open Direct Air Capture 2025 (ODAC25) is the largest high-quality DFT dataset for Direct Air Capture, containing over 15,000 Metal-Organic Frameworks (MOFs), including experimental, defective, synthetic, and amine-functionalized MOFs, with 4 adsorbates: CO2, H2O, N2, and O2. ODAC25 significantly improves upon ODAC23 by adding functionalized MOFs, new adsorbates (N2 and O2), higher k-point convergence, and re-relaxations of empty MOFs. The dataset contains three partitions: (1) mof_plus_adsorbate includes full DFT relaxations of different adsorbates on various MOFs; (2) mof includes re-relaxations of empty MOFs; (3) gcmc includes DFT single points of configurations derived from Grand Canonical Monte Carlo (GCMC) simulations.

Dataset authors

Anuroop Sriram, Logan M. Brabson, Xiaohan Yu, Sihoon Choi, Kareem Abdelmaqsoud, Elias Moubarak, Pim de Haan, Sindy Löwe, Johann Brehmer, John R. Kitchin, Max Welling, C. Lawrence Zitnick, Zachary Ulissi, Andrew J. Medford, David S. Sholl

Publication

https://doi.org/10.48550/arXiv.2508.03162

Original data link

https://huggingface.co/facebook/ODAC25

License

CC-BY-4.0

Number of unique molecular configurations

1290240

Number of atoms

286971239

Elements included

Ag, Al, Bi, Br, C, Cd, Ce, Cl, Co, Cr, Cu, Eu, F, Fe, Gd, H, Hg, I, Mg, Mn, Mo, N, Na, Nb, Nd, Ni, O, P, Pr, S, Sc, Se, Si, Sm, Sr, Tb, Th, U, V, Y, Zn, Zr

Properties included

energy, adsorption energy, atomic forces


Usage

  • ds.parquet : Aggregated dataset information.
  • co/ directory: Configuration rows each include a structure, calculated properties, and metadata.
  • cs/ directory : Configuration sets are subsets of configurations grouped by some common characteristic. If cs/ does not exist, no configurations sets have been defined for this dataset.
  • cs_co_map/ directory : The mapping of configurations to configuration sets (if defined).

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