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Old 08-15-2021, 05:27 AM   #5
Blaineoreski
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Blaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcoverBlaineoreski exercises by bench pressing the entire Harry Potter series in hardcover
 
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Here's something that may inspire the code-gifted among us:

Code:
looked at their url request structure: http://www.doi2bib.org/doi2bib + ?id= + {your doi here}.
then used their... well API to get the data (e.g. http://www.doi2bib.org/doi2bib?id=10.1016%2Fj.actpsy.2016.09.007) and the response is:
@article{Leinen_2016,
doi = {10.1016/j.actpsy.2016.09.007},
url = {http://dx.doi.org/10.1016/j.actpsy.2016.09.007},
year = 2016,
month = {nov},
publisher = {Elsevier {BV}},
volume = {171},
pages = {36--46},
author = {Peter Leinen and Stefan Panzer and Charles H. Shea},
title = {Hemispheric asymmetries of a motor memory in a recognition test after learning a movement sequence},
journal = {Acta Psychologica}
}
then you can parse it the way you want.
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