<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ruiz-Bellido MA</submitter><funding>‘Aloreña de Málaga’ Olive Manufacturing Association</funding><funding>Bank of Santander</funding><funding>Spanish Government</funding><funding>Junta de Andalucía through PrediAlo Project</funding><pagination>401-12</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5035237</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9</volume><pubmed_abstract>This article refers to the paper "Assessment of table olive fermentation by functional data analysis" (Ruiz-Bellido et al., 2016) [1]. The dataset include pH, titratable acidity, yeast count and area values obtained during fermentation process (380 days) of Aloreña de Málaga olives subjected to five different fermentation systems: i) control of acidified cured olives, ii) highly acidified cured olives, iii) intermediate acidified cured olives, iv) control of traditional cracked olives, and v) traditional olives cracked after 72 h of exposure to air. Many of the Tables and Figures shown in this paper were deduced after application of Functional Data Analysis to raw data using a routine executed under R software for comparison among treatments by the transformation of raw data into smooth cu</pubmed_abstract><journal>Data in brief</journal><pubmed_title>Data on the application of Functional Data Analysis in food fermentations.</pubmed_title><pmcid>PMC5035237</pmcid><funding_grant_id>AGR7755</funding_grant_id><pubmed_authors>Ruiz-Bellido MA</pubmed_authors><pubmed_authors>Garrido-Fernandez A</pubmed_authors><pubmed_authors>Romero-Gil V</pubmed_authors><pubmed_authors>Garcia-Garcia P</pubmed_authors><pubmed_authors>Rodriguez-Gomez F</pubmed_authors><pubmed_authors>Arroyo-Lopez FN</pubmed_authors></additional><is_claimable>false</is_claimable><name>Data on the application of Functional Data Analysis in food fermentations.</name><description>This article refers to the paper "Assessment of table olive fermentation by functional data analysis" (Ruiz-Bellido et al., 2016) [1]. The dataset include pH, titratable acidity, yeast count and area values obtained during fermentation process (380 days) of Aloreña de Málaga olives subjected to five different fermentation systems: i) control of acidified cured olives, ii) highly acidified cured olives, iii) intermediate acidified cured olives, iv) control of traditional cracked olives, and v) traditional olives cracked after 72 h of exposure to air. Many of the Tables and Figures shown in this paper were deduced after application of Functional Data Analysis to raw data using a routine executed under R software for comparison among treatments by the transformation of raw data into smooth cu</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Dec</publication><modification>2025-04-21T19:18:18.632Z</modification><creation>2019-03-27T02:25:02Z</creation></dates><accession>S-EPMC5035237</accession><cross_references><pubmed>27689129</pubmed><doi>10.1016/j.dib.2016.09.013</doi></cross_references></HashMap>