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FAIR Dataset of Defected Graphene with STM Images and Transport Properties

Title: FAIR Dataset of Defected Graphene with STM Images and Transport Properties
Authors: Vozza, Mario; Forni, Tommaso; Mercuri, Francesco
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Graphene; Artificial intelligence; Density Functional Theory; Digital Technology; FAIR Metrics; FAIR Principles
Description: This HDF5 (application/x-hdf5) dataset organizes data for graphene flakes. At the root level, global metadata and documentation are stored. Each flake is identified by an index and split into two groups: OptGeom (optimized geometry) and OptGeomElectrodes (geometry in an electrode setup). The OptGeom group contains the flake's atomic numbers, coordinates, number of atoms, and inertia tensor, with attributes such as formation energy. The OptGeomElectrodes group includes similar structural data but adds calculated properties like total energy, ionization potential (IP), electron affinity (EA), band gap, transport current, and STM images. In the folder we can find the extended metadata in the format json-ld FAIR metadata JSON-LD file (application/ld+json)Access condition: Open access Machine-readable: http://f-uji.net/vocab/access_condition/open
Document Type: dataset
Language: English
Relation: https://zenodo.org/records/15520157; oai:zenodo.org:15520157; https://doi.org/10.5281/zenodo.15520157
DOI: 10.5281/zenodo.15520157
Availability: https://doi.org/10.5281/zenodo.15520157; https://zenodo.org/records/15520157
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Copyright (c) 2025 DAIMON TeaM. Released under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
Accession Number: edsbas.CF3869F1
Database: BASE