Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan: research data set
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This data includes the endocannabinoid (arachidonoyl ethanolamide [AEA], 2-arachidonoyl glycerol [2-AG], oleoylethanolamine [OEA], palmitoylethanolamine [PEA], arachidonic acid [AA]), stress hormone (cortisol), and sex hormone (progesterone) levels in the blood serum of Australian individuals, stratified by age group and sex. Blood was collected from Sullivan Nicolaides Pathology, Australia, who have archived pooled and de-identified human blood from 2021 to 2022.
Access rights
The data that support the findings of this study are owned by Sullivan Nicolaides Pathology, Australia. Restrictions apply to the availability of these data, which were used under license for the current study, and are not publicly available. A subset of this data are available from the authors upon reasonable request and with permission of Sullivan Nicolaides Pathology, Australia. Otherwise, most data generated and analysed during this study are included in the published article.
Geographical area of data collection
kmlPolyCoords
110.869298,-9.817188 157.099767,-9.817188 157.099767,-45.352044 110.869298,-45.352044 110.869298,-9.817188
Publications
Amir Hamzah, Khalisa, Toms, Leisa-Maree, Kucharski, Nathaniel, Orr, Julia, Turner, Natalie, Hobson, Peter, Nichols, David S., & Ney, Luke (2023) Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan. Scientific Reports, 13(1), Article number: 23059.
https://eprints.qut.edu.au/245388/
Research areas
Sex-dimorphism
Hormone
Blood serum
Endocannabinoid
Age effects
Cite this collection
Amir Hamzah, Khalisa; Toms, Leisa-Maree; Kucharski, Nathaniel; Orr, Julia; Turner, Natalie; Nichols, David; Ney, Luke; (2024): Sex-dimorphism in human serum endocannabinoid and n-acyl ethanolamine concentrations across the lifespan: research data set. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1715213185532
Data file types
SPSS data file (.sav)
Licence
Creative Commons Attribution-NonCommercial 4.0 (CC-BY-NC)
http://creativecommons.org/licenses/by-nc/4.0/
Copyright
© Queensland University of Technology, 2024.
Dates of data collection
From 2021 to 2022
Connections
Has association with
Contacts
Name: Dr Luke Ney
Email: luke.ney@qut.edu.au
Other
Date record created:
2024-04-17T10:05:30
Date record modified:
2024-05-09T10:06:42
Record status:
Published - Open Access