Keywords
Institutes
Cambridge Structural Database
University Of Cambridge

The structure database of small molecules and metal-organic molecular crystals based on X-ray and neutron diffraction experiments collected by the Cambridge Crystallographic Data Centre

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  • United Kingdoms
  • 1000000 Datasets
  • Year 1980
  • crystal structures organic and metal–organic small-moleculeCCDC
Cambridge Structural Database
University Of Cambridge

The structure database of small molecules and metal-organic molecular crystals based on X-ray and neutron diffraction experiments collected by the Cambridge Crystallographic Data Centre

read more
  • United Kingdoms
  • 1000000 Datasets
  • Year 1980
  • crystal structures organic and metal–organic small-molecule
Cambridge Structural Database
University Of Cambridge

The structure database of small molecules and metal-organic molecular crystals based on X-ray and neutron diffraction experiments collected by the Cambridge Crystallographic Data Centre

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  • United Kingdoms
  • 1 Datasets
  • Year 1980
  • crystal structures organic and metal–organic small-molecule
MPXRD
University Of California At Berkeley

https://materialsproject.org/, read the Documentation.

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  • United States
  • 140000 Datasets
  • Year 2019
  • XPXRD
MPXAS-DB
University Of California At Berkeley

All the spectra (only K-edge XANES currently) were computed using the FEFF code. For each structure, spectra were computed with each symmetrically unique site in the structure as the absorbing site. The workflow used for the calculations can be found in the open source comprehensive materials science workflow package, Atomate …

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  • United States
  • 490000 Datasets
  • Year 2019
  • spectraXASstructure
2D Perovskites Database
Lomonosov Moscow State University

open-access collection of crystal structures, band gaps and atomic partial charges predicted by machine learning. We describe a first open-access database of experimentally investigated hybrid organic–inorganic materials with a two-dimensional (2D) perovskite-like crystal structure. The database includes 515 compounds, containing 180 different organic cations, 10 metals (Pb, Sn, Bi, Cd, …

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  • Russia
  • 515 Datasets
  • Year 2020
  • band gapscrystal structuresatomic partial charges predicted
MOAD
University Of Michigan

Binding MOAD Statistics 38702 Protein-Ligand Structures 14324 Binding Data 18939 Different Ligands 10500 Different Families What is Binding MOAD? We have created a subset of the Protein Data Bank (PDB), containing every high-quality example of ligand-protein binding. Hence, we call it the Mother of All Databases (MOAD). Binding MOAD's goal …

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  • United States
  • 39000 Datasets
  • Year 2019
  • Protein-Ligand StructuresDifferent LigandsBinding Data
PDBBind
College Of Pharmacy, Fudan University In China

The aim of the PDBbind database is to provide a comprehensive collection of experimentally measured binding affinity data for all biomolecular complexes deposited in the Protein Data Bank (PDB). It provides an essential linkage between the energetic and structural information of those complexes, which is helpful for various computational and …

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  • China
  • 23000 Datasets
  • Year 2020
  • biomoleculaenergetic and structural information
PDB
New York Sgx Research Center For Structural Genomics

This resource is powered by the Protein Data Bank archive-information about the 3D shapes of proteins, nucleic acids, and complex assemblies that helps students and researchers understand all aspects of biomedicine and agriculture, from protein synthesis to health and disease. As a member of the wwPDB, the RCSB PDB curates …

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  • 183000 Datasets
  • Year 2021
  • biologyproteinsnucleic acidscomplex assemblies
QMOF
University Of California, Berkeley

The Quantum MOF (QMOF) Database is a publicly available dataset of quantum-chemical properties for metal–organic frameworks (MOFs) and coordination polymers derived from high-throughput periodic density functional theory calculations.

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  • United States
  • 220000 Datasets
  • Year 2021
  • metal–organic frameworkscoordination polymershigh-throughput