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31 results for “Nutrition Surveys”
Nutritional table to estimate the availability of nutrients in households from the Mexican National Survey of Household Income and Expenditures (ENIGH) 2008-2020
<p>The database contains the amount of six nutrients (calories, proteins, vitamin A and C, iron, and zinc) per 100 grams/mililiters for each of the food categories used in the Mexican National Survey of Household Income and Expenditures 2008-2020.</p>
Food4Me - personalised nutrition European 9 countries public acceptance survey - Dataset from WP2
<p>This data set consists of a large cross-country survey conducted for the EU funded project Food4Me in 2013. It contains determinants for consumer acceptance and intention to use of personalized nutrition advices based on different levels of specificity and personality of data –self-reported intake, blood analysis and DNA based analysis of optimal nutrition patterns.</p> <p>Data are provided in SPSS and interoperable .CSV format. Surveys and metainformation are added in interoperable .RTF format.</p> <p>The underlying survey is present in 8 languages English, German, Spanish, Norwegian, Dutch, Portuguese, Greek and Polish. Used scales are sourced to the originals in the description file. </p>
Code for 'Food-insecure women eat a less diverse diet in a more temporally variable way: Evidence from the US National Health and Nutrition Examination Survey, 2013-4'
<p>Code to reproduce the analyses in the study '<strong>Food-insecure women eat a less diverse diet in a more temporally variable way: Evidence from the US National Health and Nutrition Examination Survey, 2013-4'</strong></p> <p>The analysis requires two R scripts available here, plus original 2013-4 NHANES data files, downloadable from the NHANES website (https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?BeginYear=2013).</p> <p>The first R script, 'merging script.r' takes the original NHANES files, extracts the variables required for the study, merges them into a single data frame, and saves this in .csv format. The NHANES files it requires are:</p> <p># Demographics, food insecurity and BMI<br> DEMO_H.XPT<br> FSQ_H.XPT<br> BMX_H.XPT</p> <p># Summary files of food recalls<br> DR1TOT_H.XPT<br> DR2TOT_H.XPT</p> <p># Individual foods files from food recalls<br> DR1FF_H.XPT<br> DR2FF_H.XPT</p> <p>The second R script takes the .csv file output by the merging script, and reproduces the analyses and figures described in the paper.</p> <p>Initially uploaded by Daniel Nettle, April 23rd 2019. Slightly revised versions uploaded August 6th 2019 by Daniel Nettle.</p>
Data from: A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey
The National Health and Nutrition Examination Survey (NHANES) is a population survey implemented by the Centers for Disease Control and Prevention (CDC) to monitor the health of the United States whose data is publicly available in hundreds of files. This Data Descriptor describes a single unified and universally accessible data file, merging across 255 separate files and stitching data across 4 surveys, encompassing 41,474 individuals and 1,191 variables. The variables consist of phenotype and environmental exposure information on each individual, specifically (1) demographic information, physical exam results (e.g., height, body mass index), laboratory results (e.g., cholesterol, glucose, and environmental exposures), and (4) questionnaire items. Second, the data descriptor describes a dictionary to enable analysts find variables by category and human-readable description. The datasets are available on DataDryad and a hands-on analytics tutorial is available on GitHub. Through a new big data platform, BD2K Patient Centered Information Commons (http://pic-sure.org), we provide a new way to browse the dataset via a web browser (https://nhanes.hms.harvard.edu) and provide application programming interface for programmatic access.
Fig. 20. Nutritional competition with Bolitophagus reticulatus, location 32 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 20. Nutritional competition with Bolitophagus reticulatus, location 32, Erpe-Mere, 25.VII.2020. © Brecht Verkempinck.
JUGA survey nutritional medicine
Open the record for dataset details and reuse information.
Examination of Meal Patterns in National Adult Nutrition Survey (NANS), Ireland
ClinicalTrials.gov study NCT03374748. IPD Sharing: NO. Countries: 1. Publications: 1.
International Nutrition Survey 2018
ClinicalTrials.gov study NCT03442946. IPD Sharing: Not stated. Countries: 5. Publications: 30.
Associations Between Tea and Sweetened Beverage Consumptions and Hyperuricemia: The China Health and Nutrition Survey
ClinicalTrials.gov study NCT03235336. IPD Sharing: YES. Countries: 1. Publications: 1.
National Health and Nutrition Examination Survey 24-hour Urine Collection Feasibility Study, 2013
ClinicalTrials.gov study NCT02723682. IPD Sharing: NO. Countries: 1. Publications: 1.
Latin American Survey of Nutrition and Health / Estudio Latinoamericano de Nutrición y Salud
ClinicalTrials.gov study NCT02226627. IPD Sharing: Not stated. Countries: 8. Publications: 22.
Data from: A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey
Open the record for dataset details and reuse information.
Nutrition for Trauma Community Survey
ClinicalTrials.gov study NCT06864637. IPD Sharing: NO. Countries: 1. Publications: 0.
FRench-speAking Icu (Intensive Care Unit) Nutritional Survey
ClinicalTrials.gov study NCT02599948. IPD Sharing: Not stated. Countries: 0. Publications: 1.
menuCH-Kids, the First Swiss National Nutrition Survey in Children and Adolescents
ClinicalTrials.gov study NCT07204860. IPD Sharing: YES. Countries: 1. Publications: 0.
Health and Nutrition Survey on Shenzhen Children
ClinicalTrials.gov study NCT05244785. IPD Sharing: Not stated. Countries: 1. Publications: 0.
National Survey of Young Adult Nutrition
ClinicalTrials.gov study NCT06096636. IPD Sharing: NO. Countries: 1. Publications: 0.
Nutritional Status Assessment in the Elderly Suffering From Cancer : a National Cross-UCOG Survey
ClinicalTrials.gov study NCT03390816. IPD Sharing: NO. Countries: 1. Publications: 0.
Online Survey of Nutrition Status in Chinese Non-hospitalized Cancer Patients
ClinicalTrials.gov study NCT04778540. IPD Sharing: NO. Countries: 1. Publications: 0.
Swiss Childhood Health and Nutrition Survey 2023
ClinicalTrials.gov study NCT05697367. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.