Undergraduate synthesis laboratories at Imperial College.
DOI: 10.14469/hpc/7349 Metadata
Created: 2020-08-20 07:45
Last modified: 2022-10-05 11:35
License: Creative Commons: Public Domain Dedication 1.0
Funding: (none given)
Description
FAIR data archives prepared as part of undergraduate laboratory exercises involving the synthesis and characterisation of an organic ester and measurement of its NMR spectrum.
Live view
Files
Filename | Size | Type | Description |
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Figure1.svg | 9KB | image/svg+xml | Reaction scheme |
index.html | 354 | text/html | Root document, V1 |
Members
DOI | Description |
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10.14469/hpc/10629 | 1st Year undergraduate synthesis 1.2 laboratory (2022-2023) |
10.14469/hpc/8679 | 1st Year undergraduate synthesis 1.2 laboratory (2021-2022) |
10.14469/hpc/6215 | 1st Year undergraduate synthesis 1.2 laboratory (2019-2020) |
10.14469/hpc/7350 | 1st Year undergraduate synthesis 1.2 laboratory (2020-2021) |
Associated DOIs
Current dataset ... | DOI | Description |
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isReferencedBy | 10.1002/mrc.5186 | Article: S. Kuhn and H. S. Rzepa, A data-oriented approach to making new molecules as a student experiment: AI-enabling FAIR publication of NMR data for organic esters |
isReferencedBy | 10.1038/s41570-022-00382-w | Article: The case for data science in experimental chemistry: examples and recommendations |
isReferencedBy | 10.1255/sew.2022.a10 | Article: H. S. Rzepa, A. N. Davies, Open publishing FAIR spectra for and by students, Spectros. Eu., 2022. |
isReferencedBy | 10.14469/hpc/6448 | Instructions for Signing up for an ORCID and Using your ORCID to publish research data |
isReferencedBy | 10.14469/hpc/6472 | Instructions for Publishing NMR Data |
isReferencedBy | 10.1515/pac-2021-2009 | Article: R. M. Hanson, D. Jeannerat, M. Archibald, I. Bruno, S. Chalk, A. N. Davies, R. J. Lancashire, J. Lang and H. S. Rzepa, IUPAC specification for the FAIR management of spectroscopic data in chemistry (IUPAC FAIRSpec) – guiding principles, Pure App. Chem., 2022. |
isReferencedBy | 10.21105/joss.03824 | Article: CHAMP is an HPC Access and Metadata Portal (for publishing Computational data) |