Published February 18, 2024 | Version v5
Data paper Open

Experimental Data for Streamlining the Automated Discovery of Porous Organic Cages

  • 1. ROR icon Imperial College London

Contributors

Data curator:

Data manager:

  • 1. ROR icon Imperial College London

Description

Data: 

ms.zip contains all the HRMS data 

nmr.zip contains all the 1H NMR (CDCl3) data 

turbidity.zip contains all the computer vision turbidity 

To map all the following data of the paper with precursor combination codes (A1-U34) use the JSON dictionary precursor_combination_map_to_exp_data.json. 

 

An example: 

    "A1": {

        "precursor_combination": "A1",

        "experiment_code": "AB-02-005",

        "plate_number": "01",

        "formulation_number": "01",

        "turbidity_data_path": "/turbidity/AB-02-005/01/solubility_study_1",

        "NMR_data_path": "/nmr/AB-02-005/01/10",

        "HRMS_data_path": "/ms/AB-02-005_01_01.d"

    }

For the code and relevant files for data curation and characterisation (both experimental and computational), follow the GitHub link (https://github.com/GreenawayLab/Streamlining-Automated-Discovery-POCs/)

Files

ms.zip

Files (5.6 GB)

Name Size Download all
md5:83262bda65f6705aaa7c80cd4ba72670
4.0 GB Preview Download
md5:5acef3504031fdaa088f34cc7a717f1b
210.8 MB Preview Download
md5:d1723cbfabea6c764da9168a8401c635
129.1 kB Preview Download
md5:a40c3b53e73a2a4f3c7ac9a4f31700fc
1.4 GB Preview Download

Additional details