Posts Tagged ‘PDF’

A nice example of open data (in London).

Sunday, March 5th, 2017
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Living in London, travelling using public transport is often the best way to get around. Before setting out on a journey one checks the status of the network. Doing so today I came across this page: our open data from Transport for London. 

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Chemistry preprint servers (revisited).

Tuesday, August 16th, 2016
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This week the ACS announced its intention to establish a “ChemRxiv preprint server to promote early research sharing“. This was first tried quite a few years ago, following the example of especially the physicists. As I recollect the experiment lasted about a year, attracted few submissions and even fewer of high quality. Will the concept succeed this time, in particular as promoted by a commercial publisher rather than a community of scientists (as was the original physicists model)?

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Managing (open) NMR data: a working example using Mpublish.

Monday, August 1st, 2016
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In March, I posted from the ACS meeting in San Diego on the topic of Research data: Managing spectroscopy-NMR, and noted a talk by MestreLab Research on how a tool called Mpublish in the forthcoming release of their NMR analysis software Mestrenova could help. With that release now out, the opportunity arose to test the system.

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500 chemical twists: a (chalk and cheese) comparison of the impacts of blog posts and journal articles.

Friday, June 3rd, 2016
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The title might give it away; this is my 500th blog post, the first having come some eight years ago. Very little online activity nowadays is excluded from measurement and so it is no surprise that this blog and another of my "other" scholarly endeavours, viz publishing in traditional journals, attract such "metrics" or statistics. The h-index is a well-known but somewhat controversial measure of the impact of journal articles; here I thought I might instead take a look at three less familiar ones – one relating to blogging, one specific to journal publishing and one to research data.

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Collaborative FAIR data sharing.

Sunday, April 17th, 2016
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I want to describe a recent attempt by a group of collaborators to share the research data associated with their just published article.[1]

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References

  1. C. Romain, Y. Zhu, P. Dingwall, S. Paul, H.S. Rzepa, A. Buchard, and C.K. Williams, "Chemoselective Polymerizations from Mixtures of Epoxide, Lactone, Anhydride, and Carbon Dioxide", Journal of the American Chemical Society, vol. 138, pp. 4120-4131, 2016. http://dx.doi.org/10.1021/jacs.5b13070

Research data: Managing spectroscopy-NMR.

Wednesday, March 16th, 2016
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At the ACS conference, I have attended many talks these last four days, but one made some “connections” which intrigued me. I tell its story (or a part of it) here.

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Global initiatives in research data management and discovery: searching metadata.

Monday, March 7th, 2016
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The upcoming ACS national meeting in San Diego has a CINF (chemical information division) session entitled "Global initiatives in research data management and discovery". I have highlighted here just one slide from my contribution to this session, which addresses the discovery aspect of the session.

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Reproducibility in science: calculated kinetic isotope effects for cyclopropyl carbinyl radical.

Saturday, July 11th, 2015
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Previously on the kinetic isotope effects for the Baeyer-Villiger reaction, I was discussing whether a realistic computed model could be constructed for the mechanism. The measured KIE or kinetic isotope effects (along with the approximate rate of the reaction) were to be our reality check. I had used ΔΔG energy differences and then HRR (harmonic rate ratios) to compute[1] the KIE, and Dan Singleton asked if I had included heavy atom tunnelling corrections in the calculation, which I had not. His group has shown these are not negligible for low-barrier reactions such as ring opening of cyclopropyl carbinyl radical.[2] As a prelude to configuring his suggested programs for computing tunnelling (GAUSSRATE and POLYRATE), it was important I learnt how to reproduce his KIE values.[2] Hence the title of this post. Now, read on.

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References

  1. Rzepa, Henry S.., "KINISOT. A basic program to calculate kinetic isotope effects using normal coordinate analysis of transition state and reactants.", 2015. http://dx.doi.org/10.5281/zenodo.19272
  2. O.M. Gonzalez-James, X. Zhang, A. Datta, D.A. Hrovat, W.T. Borden, and D.A. Singleton, "Experimental Evidence for Heavy-Atom Tunneling in the Ring-Opening of Cyclopropylcarbinyl Radical from Intramolecular12C/13C Kinetic Isotope Effects", Journal of the American Chemical Society, vol. 132, pp. 12548-12549, 2010. http://dx.doi.org/10.1021/ja1055593

A convincing example of the need for data repositories. FAIR Data.

Thursday, January 15th, 2015
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Derek Lowe in his In the Pipeline blog is famed for spotting unusual claims in the literature and subjecting them to analysis. This one is entitled Odd Structures, Subjected to Powerful Computations. He looks at this image below, and finds the structures represented there might be a mistake, based on his considerable experience of these kinds of molecules. I expect he had a gut feeling within seconds of seeing the diagram.

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