Research Data Leeds Repository

Items where Subject is "B000 - Subjects allied to medicine > B400 - Nutrition"

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• Joint Academic Coding System (JACS)⁹ (984)
  • B000 - Subjects allied to medicine¹⁰ (42)
    • B400 - Nutrition (14)

Group by: Creators | Item Type¹¹

Jump to: B | H | K | M | T | W

Number of items at this level: 14.

B

Bozkir, Cigdem and Threapleton, Diane and Cade, Janet (2023) UK Commercially Available Baby Food.¹² University of Leeds. [Dataset] https://doi.org/10.5518/1395¹³

H

Ho, Peter (2021) Consumer Healthy Eating and Wellbeing (CHEW) datasets.¹⁴ University of Leeds. [Dataset] https://doi.org/10.5518/1006¹⁵

Ho, Peter and Beggs, Lauryn (2021) Consumer Healthy Eating 2021 dataset.¹⁶ University of Leeds. [Dataset] https://doi.org/10.5518/1010¹⁷

Ho, Peter and Fathy, Jade (2021) Consumer Healthy Eating 2020 dataset.¹⁸ University of Leeds. [Dataset] https://doi.org/10.5518/1009¹⁹

Ho, Peter and Ledger, Georgina (2021) Consumer Healthy Eating 2019 dataset.²⁰ University of Leeds. [Dataset] https://doi.org/10.5518/1007²¹

Ho, Peter and Ogier, Kane (2021) Consumer Healthy Eating and wellbeing 2021 dataset.²² University of Leeds. [Dataset] https://doi.org/10.5518/1011²³

Ho, Peter and Yeardley, Eliza (2021) Consumer Healthy Eating and Wellbeing 2020 dataset.²⁴ University of Leeds. [Dataset] https://doi.org/10.5518/1008²⁵

K

Kapulu, Ndashe P. and Clark, Heather and Orfila, Caroline and Macdiarmid, Jennie I. (2022) Estimated energy, macronutrient and micronutrient supply for Zambia 1961 to 2013 – Raw data.²⁶ University of Leeds. [Dataset] https://doi.org/10.5518/1111²⁷

M

Moore, J. Bernadette (2019) Non-alcoholic fatty liver disease short food frequency questionnaire (version 1.0).²⁸ University of Leeds. [Dataset] https://doi.org/10.5518/477²⁹

Moore, J. Bernadette (2019) Non-alcoholic fatty liver disease short food frequency questionnaire participant information leaflet.³⁰ University of Leeds. [Dataset] https://doi.org/10.5518/478³¹

Moore, J. Bernadette (2019) Non-alcoholic fatty liver disease short food frequency questionnaire validation data.³² University of Leeds. [Dataset] https://doi.org/10.5518/456³³

T

Threapleton, Diane (2023) Nutrient Profile and Promotion Model baby food - Stata Code.³⁴ University of Leeds. [Dataset] https://doi.org/10.5518/1396³⁵

W

Williamson, Gary (2016) Data associated with 'Green tea catechins and their metabolites in human skin before and after exposure to ultraviolet radiation'.³⁶ University of Leeds. [Dataset] https://doi.org/10.5518/35³⁷

Wu, Mengyao and Gani, Hanis and Marafie, Wasan and Viney, Sara and Ho, Peter and Orfila, Caroline (2021) Ginger pasta satiety - raw data.³⁸ University of Leeds. [Dataset] https://doi.org/10.5518/1027³⁹

• 1. ./
• 2. ./
• 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/Atom/B400.xml
• 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/Atom/B400.xml
• 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/RSS/B400.rss
• 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/RSS/B400.rss
• 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/RSS2/B400.xml
• 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/B400/RSS2/B400.xml
• 9. subjects.html
• 10. B000.html
• 11. B400.type.html
• 12. https://archive.researchdata.leeds.ac.uk/1185/
• 13. https://doi.org/10.5518/1395
• 14. https://archive.researchdata.leeds.ac.uk/855/
• 15. https://doi.org/10.5518/1006
• 16. https://archive.researchdata.leeds.ac.uk/859/
• 17. https://doi.org/10.5518/1010
• 18. https://archive.researchdata.leeds.ac.uk/858/
• 19. https://doi.org/10.5518/1009
• 20. https://archive.researchdata.leeds.ac.uk/856/
• 21. https://doi.org/10.5518/1007
• 22. https://archive.researchdata.leeds.ac.uk/860/
• 23. https://doi.org/10.5518/1011
• 24. https://archive.researchdata.leeds.ac.uk/857/
• 25. https://doi.org/10.5518/1008
• 26. https://archive.researchdata.leeds.ac.uk/1025/
• 27. https://doi.org/10.5518/1111
• 28. https://archive.researchdata.leeds.ac.uk/492/
• 29. https://doi.org/10.5518/477
• 30. https://archive.researchdata.leeds.ac.uk/491/
• 31. https://doi.org/10.5518/478
• 32. https://archive.researchdata.leeds.ac.uk/493/
• 33. https://doi.org/10.5518/456
• 34. https://archive.researchdata.leeds.ac.uk/1186/
• 35. https://doi.org/10.5518/1396
• 36. https://archive.researchdata.leeds.ac.uk/32/
• 37. https://doi.org/10.5518/35
• 38. https://archive.researchdata.leeds.ac.uk/872/
• 39. https://doi.org/10.5518/1027