Automated Author Profile

Floreano, Luca

CNR-IOM, TASC Laboratory

Current S-Index

0.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

50.0%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

One-dimensional heterocyclic carbene–Au metal–organic frameworks bridging ultra-high vacuum models and scalable liquid-phase growth (dataset)

The zip file contains three olders: "XPS_ALOISA", "HREELS", "STM".The "XPS_ALOISA" folder includes other three sub-folders: "Carbene Berkeley_Au_UHV", "Carbene Berkeley_Au_UHV" and "LOGBOOK". The first two folders contain the .Nrm and .PrX files for XPS measurements. The last folder contains .jpg files with the logbook of the related experiments, helpful to understand the dataset. To open these files the suggest software is Igor.The "HREELS" folder includes a sub-folder "Berk_Au111", that contains the HREELS data (and the DFT simulations) as .txt files. This folder contains all data related to the HREELS characterization. To open these files the suggest software is Origin.The "STM" folder includes six sub-folders: "Berk_N_1_15h_A","Berk_N_1_15h_B","Berk_N_1_15h_C","Berk_N_1_15h_D", "Berk_old_2_100uM_15h_200C" and "Berk_UHV". The first five folders contain the data obtained via in air STM. The last folder is related to STM acquisition under UHV conditions. All files are in .STP format. To open this file the suggest software is WSxM.

Authors

  • Cielo, Leonardo ;
  • Cattelan, Mattia ;
  • Schio, Luca ;
  • Longo, Leonardo ;
  • Grillo, Federico ;
  • Qie, Boyu ;
  • Wang, Ziyi ;
  • Floreano, Luca ;
  • Baddeley, Christopher ;
  • Sedona, Francesco ;
  • Tubaro, Cristina ;
  • Fischer, Felix R ;
  • Agnoli, Stefano
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.17630/6f880713-5801-4a24-9231-7456326663942025