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Data set on volatile compound of coffee flowers at different annual rainfall
This data informs about the profile of volatile compound of coffee flower (Coffee arabica) from different locations with different annual rainfall by using gas chromatography - mass spectrometry (GC-MS). The volatile compounds were captured by solid phase micro extraction (SPME) methods. The extract...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727001/ https://www.ncbi.nlm.nih.gov/pubmed/31508471 http://dx.doi.org/10.1016/j.dib.2019.104418 |
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author | Syamsudin, Tati Suryati Hafsah, Hafsah Iriawati, Iriawati |
author_facet | Syamsudin, Tati Suryati Hafsah, Hafsah Iriawati, Iriawati |
author_sort | Syamsudin, Tati Suryati |
collection | PubMed |
description | This data informs about the profile of volatile compound of coffee flower (Coffee arabica) from different locations with different annual rainfall by using gas chromatography - mass spectrometry (GC-MS). The volatile compounds were captured by solid phase micro extraction (SPME) methods. The extract then subjected to GC-MS for separation and identification of compounds. The profile of volatile compound was provided in, Table 1, Table 2, Table 3 and Table 4. |
format | Online Article Text |
id | pubmed-6727001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67270012019-09-10 Data set on volatile compound of coffee flowers at different annual rainfall Syamsudin, Tati Suryati Hafsah, Hafsah Iriawati, Iriawati Data Brief Agricultural and Biological Science This data informs about the profile of volatile compound of coffee flower (Coffee arabica) from different locations with different annual rainfall by using gas chromatography - mass spectrometry (GC-MS). The volatile compounds were captured by solid phase micro extraction (SPME) methods. The extract then subjected to GC-MS for separation and identification of compounds. The profile of volatile compound was provided in, Table 1, Table 2, Table 3 and Table 4. Elsevier 2019-08-21 /pmc/articles/PMC6727001/ /pubmed/31508471 http://dx.doi.org/10.1016/j.dib.2019.104418 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Syamsudin, Tati Suryati Hafsah, Hafsah Iriawati, Iriawati Data set on volatile compound of coffee flowers at different annual rainfall |
title | Data set on volatile compound of coffee flowers at different annual rainfall |
title_full | Data set on volatile compound of coffee flowers at different annual rainfall |
title_fullStr | Data set on volatile compound of coffee flowers at different annual rainfall |
title_full_unstemmed | Data set on volatile compound of coffee flowers at different annual rainfall |
title_short | Data set on volatile compound of coffee flowers at different annual rainfall |
title_sort | data set on volatile compound of coffee flowers at different annual rainfall |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727001/ https://www.ncbi.nlm.nih.gov/pubmed/31508471 http://dx.doi.org/10.1016/j.dib.2019.104418 |
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