Published June 9, 2025
| Version v1
Dataset
Open
Data and notebooks for Bond-resolved STM with density-based methods
Contributors
Project leader:
-
1.
Universidad Autónoma de Madrid
- 2. Grenoble INP-Phelma
Description
This is the data and notebooks needed to reproduces the figures in Data and notebooks for Bond-resolved STM with density-based methods
CONTENT:
1 folder for the PTCDA molecule and 1 folder for the TOAT molecule.
Inside each folder there is a Jupyter notebook that reproduces the figures of the articles, as well as all the necessary data to do so.
DEPENDANCIES:
Language:
-python 3
Python Libraries:
-ase
-scipy
-pyprocar
-argparse
-pathlib
-pillow
Files
ads.csv
Files
(729.8 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:a75d208a7471a603ab5c768f8bb4c03e
|
120.0 kB | Preview Download |
|
md5:4f9e71bee8493994da160ad83b060358
|
120.9 kB | Preview Download |
|
md5:410ff9033405e72d4456ad84bd7edcf3
|
15.2 MB | Download |
|
md5:b202f420a67ac2a5486959923de2b752
|
52.3 MB | Download |
|
md5:094c251afb65c96766124188911b4d85
|
63.9 MB | Download |
|
md5:12c1442ff08e332ff4aed938ddf3ee69
|
121.1 kB | Preview Download |
|
md5:1d96901b70211eea32b19806b8b1c2f3
|
20.3 kB | Download |
|
md5:c6fff3f805d068af41869ce1ed741981
|
467 Bytes | Download |
|
md5:b0b7e43330c1c491765b8665011fbd4e
|
18.8 kB | Download |
|
md5:acb74fcaf855381e9b04952740e2f064
|
178.1 kB | Preview Download |
|
md5:cde2461500d8c01cfc0056fdab327ff9
|
7.0 MB | Download |
|
md5:82f9001c0bc2670f4798648647b75401
|
10.0 MB | Download |
|
md5:bc16c022bd0e54939df6ae298ffea8b3
|
1.4 MB | Preview Download |
|
md5:45593e2046bd253c9b9e98e39018ae97
|
810.7 kB | Preview Download |
|
md5:7382ba681d1fdffbc7b3bf49b8ba3269
|
2.4 kB | Download |
|
md5:99ba56d7c29bb096c06f62e8d229ed30
|
18.0 MB | Download |
|
md5:b9df2640286dcf90e2d432a8811bce9a
|
18.0 MB | Download |
|
md5:8ad30ffc85d078791a253a2e569a0ba9
|
18.0 MB | Download |
|
md5:46dc78272f20629187a737249faef83e
|
314 Bytes | Preview Download |
|
md5:19a52a14d4f1f9e04d52f277ec4ccd07
|
61.6 MB | Download |
|
md5:2d9ce2cc7f6119760aead9965ed846ef
|
71.0 MB | Download |
|
md5:1c00bec1d92a22762e52afe7edb7f2b0
|
86.4 MB | Download |
|
md5:694bb76b4082c9c77f7faecf5a5452f1
|
177.8 kB | Preview Download |
|
md5:9d3ff761f0c4494f68c51195de652d81
|
177.9 kB | Preview Download |
|
md5:f6854063cd932aff95915cd9c4c74f7f
|
111.5 MB | Download |
|
md5:63ab3bb572085f6981e2d97a6658fef1
|
111.5 MB | Download |
|
md5:52c07365af427bf56715a0de2d096f07
|
82.4 MB | Download |
|
md5:6373fb1eb94b9970eaad5a4485769946
|
313 Bytes | Download |
Additional details
Related works
- Is supplement to
- Preprint: arXiv:2510.11929 (arXiv)
Software
- Programming language
- Python