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GENERAL INFORMATION
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1. Title and description of the dataset: RV_WP2_7_9_RSM_UAE_V6(2022-07-05) Ultrasound-assisted ethanolic extraction of punicalagin from pomegranate by-products as influenced by cultivar, pre-drying treatment, particle size, and temperature
2. Author's contact information (name, email, ORCID, institution): Francisco Artés Hernández, fr.artes-hdez@upct.es, 0000-0002-0689-7301, Universidad Politécnica de Cartagena
3. Date of data collection (recommended format YYYYMMDD): 20220201-20220703
4. Geographic location of data collection (latitude, longitude, or city/region, Country, continent as appropriate): I+D+i Building, Universidad Politécnica de Cartagena, Cartagena, Spain (37°36'07"N 0°58'41"W)
6. Information about funding sources that supported the collection of the data (including research project reference/acronym):
This research was funded by project PID2021-123857OB-I00 financed by the Spanish Ministry of Science and Innovation (MCIN), the Spanish State Research Agency/10.13039/501100011033 and FEDER.
This work is also a result of the AGROALNEXT program and was supported by MCIN with funding from EU NextGeneration (PRTR-C17.I1) and by Seneca Foundation with funding from Autonomous Community of the Region of Murcia (CARM).
7. Recommended citation for this dataset: Dataset for the publication Cano-Lamadrid et al. (2023) https://doi.org/10.1016/j.lwt.2023.115236
8. Language of the dataset: English

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SHARING/ACCESS/CONTEXT INFORMATION
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1. Usage Licenses/restrictions placed on the data (please indicate if different data files have different usage license): CC-BY 4.0
2. Links to publications/other research outputs that cite the data: 
3. Links to publications/other research outputs that use the data: https://doi.org/10.1016/j.lwt.2023.115236
4. Links to other publicly accessible locations of the data: 
5. Links/relationships to ancillary data sets: 
6. Was data derived from another source? If so, please add link where such work is located:

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DATA & FILE OVERVIEW
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1. File List (if file is compressed, list its content): RV_WP2_7_9_RSM_UAE_V6_20220705.csv
3. File format (provide a list of all file formats present in this dataset): .csv
3. Relationship between files, if important: -
4. Additional related data collected that was not included in the current data package: -
5. Are there multiple versions of the dataset? If so, please indicate where they are located: -

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
For the identification and quantification of total Punicalagin (α-Pn and β-Pn), an U-HPLC (Shimadzu, Kyoto, Japan) was used, equipped with a DGU-20A degasser, an LC-30CE quaternary pump, SIL-30AC autosampler, CTO-10AS column heater and SPDM-20a photodiode array detector for the detection of the photodiode array.
Total phenolic content (TPC) was determined following the Folin-Ciocalteu method using a microplate reader (Tecan Infinite M200, Männedorf, Switzerland).
2. Methods for processing the data: 
A polynomial regression model defined in terms of time and the categorical variables involved in the experiment was fitted to predict the extraction optimal conditions where the response variable has been log-transformed. 
Statistical analyses were performed with the free R software (R Core Team, 2022).
3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: R software (R Core Team, USA, 2022).
4. Standards and calibration information, if appropriate:
Punicalagin standard curve: y = 2E-05x - 13.326; R^2=0.9977 (being "y" concentration in mg/kg and "x" cromatographic area)
Gallic acid standard curve: y = 0.1945086661x - 0.0087637130; R^2=0.9778 (being "y" concentration in mg/mL and "x" absorbance)
5. Environmental/experimental conditions: lab conditions
6. Describe any quality-assurance procedures performed on the data:
The standard curve was done simultaneously with the samples every day of analysis
The goodness of fit for the response surface model was evaluated through the R-squared metric.
7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://credit.niso.org/: 
Marina Cano-Lamadrid: Conceptualization, Methodology, Investigation, Writing – original draft, Writing – review & editing, Visualization. 
Lorena Martínez-Zamora: Conceptualization, Methodology, Investigation, Writing – original draft, Writing – review & editing, Visualization. 
Noelia Castillejo: Conceptualization, Methodology, Investigation, Writing – review & editing, Visualization, Writing – original draft. 
María Carmen Bueso: Investigation, Statistics, Writing – review & editing, Visualization. 
Mathieu Kessler: Investigation, Statistics, Writing – review & editing, Visualization. 
Francisco Artés-Hernández: Conceptualization, Investigation, Writing – review & editing, Visualization, Supervision, Project administration, Funding acquisition.
8. Author contact information: fr.artes-hdez@upct.es

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DATA-SPECIFIC INFORMATION:
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1. Number of variables: 7
2. Number of cases/rows: 481
3. Variable List: time (min), cultivar, particle size (µm), temperature (ºC), type or drying, punicalagin (g/kg dry weight), total phenolic content (g gallic acid equivalents/kg dry weight)
4. Missing data codes: -
5. Specialized formats or other abbreviations used: -
6. Dictionaries/codebooks used: -
7. Controlled vocabularies/ontologies used: -