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1499489-acs.cgd.6b01265_1499490_clean
Cu
false
10.1021/acs.cgd.6b01265
ABAVIJ_clean
Co
true
null
ABAYIO_clean
Mn
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null
ABAYOU_clean
Co
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null
ABEFUL_clean
Tb
true
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ABESUX_clean
U
true
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ABETAE_clean
U
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ABETIN_clean
Cu
true
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ABEXEM_clean
La
true
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ABEXEN_clean
In
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ABEXIQ_clean
Ce
true
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ABEXOW_clean
Pr
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ABEXUC_clean
Nd
true
null
ABEYAJ_clean
Sm
true
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ABEYEN_clean
Eu
true
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ABEYIR_clean
Gd
true
null
ABIXOZ_clean
Mo,Co
true
null
ABIYIV_clean
Co
true
null
ABULOB_clean
Be
true
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ABUWOJ_clean
Zn
true
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ACAJIY_clean
Zn
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ACAJIZ_clean
Cu
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ACAJOF_clean
Cu
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ACAKUM_clean
La
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ACALIB_clean
Er
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ACECIV_ion_b
Pb,K
true
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ACIBIY_clean
Co
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ACIBOE_clean
Zn
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ACOCOM_clean
Cu
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ACOCUS_clean
Zn
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ACODAZ_clean
Co
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ACODON_clean
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ACODUT_clean
Yb
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ACOGAB_clean
Cd
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ACOGEF_clean
Cd
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ACOLEL_clean
Mn
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ACOLIP_clean
Zn
true
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ACOLOV_clean
Cd
true
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ACUBAB_clean
Zn
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ACUFEK_clean
Cu
true
null
ACUJOZ_manual
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true
null
ACUTOI_clean
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true
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ADARAA_clean
Co
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Cu
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ADASEF_clean
Cu
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Cu
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Zn
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Co
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ADATAC_clean
Zn
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ADATEG_manual
Cu
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ADATIK_clean
Cu
true
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ADATOQ_clean
Ag
true
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ADATUW_clean
Ag
true
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ADAVAE_clean
Ag
true
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ADAVEI_clean
Ag
true
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ADAVIM_clean
Ag
true
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ADAXEK_clean
Co
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ADAXIO_clean
Co
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ADEGIA01_clean
Gd
true
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ADEGIA_clean
Gd
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true
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V,Mn
true
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V,Mn
true
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ADOBIF_clean
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true
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true
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ADOCEC_clean
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Cu
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Cu
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Ag
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La
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Zn
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Co
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AFIXES_clean
Co
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Zn
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AFOTUL_clean
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AFOVAT_clean
La
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AFOVEX_clean
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AFOVIB_clean
Gd
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AFOVOH_clean
Nd
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AFOYAW_clean
Cu
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AFOYEB_clean
Co
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AFOYIE_clean
Cu
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AFOYOK_clean
Cu
true
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AFUKET_clean
Mn
true
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AFUKIX_clean
Mn
true
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AFUPEX_clean
Tm
true
null
End of preview. Expand in Data Studio

CoRE MOF 2019

The public structures of the Computation-Ready Experimental MOF database (Chung et al., 2019), version 1.1.4: metal-organic frameworks determined by experiment, cleaned to be used in simulations. Their solvent is removed in two ways, which make the two splits:

Split Structures Atoms Atoms per structure
asr, all solvent removed 12,020 3,926,702 10 to 10,560, median 192
fsr, free solvent removed 7,061 2,388,025 10 to 10,560, median 204

In fsr the solvent bound to the metals is kept. Most structures of fsr are also in asr, with the same name up to its suffix.

Labels

Structures come from experiment: the four labels (total_energy, band_gap, ...) are NaN. The properties are the geometric ones of the table of the source, computed with Zeo++:

properties[...] Source column Unit
lcd, pld, lfpd largest cavity, pore limiting and largest free path diameters Å
density cm3_g, which holds the density g/cm³
asa_m2_cm3, asa_m2_g accessible surface area m²/cm³, m²/g
nasa_m2_cm3, nasa_m2_g non accessible surface area m²/cm³, m²/g
void_fraction AV_VF 0 to 1
av_cm3_g, nav_cm3_g accessible and non accessible volume cm³/g
has_oms 1 if the structure has an open metal site 0 or 1
disorder 1 if the source put the structure in its disorder folder 0 or 1

Things to know

  • Very large cells. One structure in ten has more than 690 atoms, 559 of asr have more than 1,000, and the largest has 10,560. The radius graph lists the pairs of atoms of a structure: at 5 Å a cell of 2,000 atoms takes 0.5 GB on a GPU, one of 5,000 atoms 3.3 GB. Filter by num_atoms or use batches of a few structures.
  • Nothing is filtered. The 1,877 structures of asr and the 1,053 of fsr that the source set apart as disordered are kept, with disorder set to 1. properties["disorder"] == 0 selects the others.
  • Experimental structures are not relaxed, and hydrogens can be missing.
  • Atoms are in the order of the files. 8 files of asr and 7 of fsr are not in P1: their symmetry operations were applied by pymatgen.
  • Names are not in the file. asr_index.parquet and fsr_index.parquet give for each row the name of the structure in the source (a CSD refcode or the name of a file of supporting information, with a suffix), its metals and its DOI.
  • No structure with partial occupancy was found.
  • Licence: CC BY 4.0.

Format

HDF5 files of flat concatenated arrays, the format of the other datasets of materials-toolkits:

Dataset Shape Type Content
lattice (n_struct, 3, 3) float32 lattice vectors as rows, in Å; the identity for a molecule
num_atoms (n_struct,) int64 number of atoms of each structure
ptr (n_struct,) int64 index of the first atom of each structure in x and z
x (n_atoms, 3) float32 fractional coordinates; positions in Å for a molecule
z (n_atoms,) int64 atomic numbers
pbc (n_struct, 3) bool whether the structure is periodic along each lattice vector
total_energy, formation_energy_per_atom, energy_above_hull, band_gap (n_struct,) float32 labels, NaN when unknown
properties/<name> (n_struct,) float32 the properties listed above, NaN when unknown

The position of an atom in Å is x @ lattice. The lattice of a crystal is rebuilt from the lengths and the angles of its cell, in the standard orientation (first vector along x), and its fractional coordinates are wrapped into the cell. The batch array is an artefact of the writer and is not used when reading. Row i of an index file describes structure i.

Usage

from torchms.data import HDF5Dataset

dataset = HDF5Dataset.from_hub("materials-toolkits/core-mof", "asr.hdf5")
structures = dataset[:32]            # batched Structures
structures.properties                # the named properties, one value per structure

Built with torchms.

Source and checks

  • CoRE MOF 2019 Dataset, Zenodo, version 1.1.4: 2019-11-01-ASR-public_12020 and 2019-11-01-FSR-public_7061, archives and tables, checked with their MD5.
  • Built by scripts/build_core_mof.py. The atoms are read as they are listed in each file. Every structure was then compared with the reading of its file by pymatgen: cell, number of atoms, and each atom at the position of one atom of the same element. Three properties were compared with the table.
  • Repository: materials-toolkits/core-mof, files asr.hdf5 and fsr.hdf5.
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