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Dataset results
8 results for “food handling”
Fostering safe food handling among consumers: Data from an online survey experiment with 1,973 consumers from Norway and the UK
<p>Data and replication codes for the article "Fostering safe food handling among consumers: Causal evidence on game- and video-based online interventions". 1,973 participants from the UK and Norway, aged 18- 89 years, were assigned to (i) a control condition, or (ii) exposed to a brief information video, or (iii) in addition played an online game (two different conditions). In all conditions, participants answered a pre-survey and seven days later a post-survey. In the survey, next to collecting some information on sociodemographic background and certain preferences, subjects reported some recent food safety behaviors and we elicited beliefs in the efficacy of certain food safety actions, as well as beliefs in myths related to food and hygiene.</p> <p>We use this data set in our publication <br> Koch, A. K., Mønster, D., Nafziger, J., & Veflen, N. (2022). Fostering safe food handling among consumers: Causal evidence on game-and video-based online interventions. <em>Food Control</em>, 108825.</p>
Data and code for Barrett, Martin, and Shepherd (2022) "Manipulation-specific cortical activity as mice handle food"
<p>This dataset contains the tracking data, spiking data, and ethograms necessary to reproduce the results of Barrett, Martin, and Shepherd (2022) "Manipulation-specific cortical activity as mice handle food". Also included is Matlab and R code that generates all of the figures, tables, and stats in the aforementioned paper.</p>
INTELLIMAN_WP2_Application Requirements and Integration_T2.4_Fresh food handling use case analysis, integration and validation_Apple 6D pose estimation dataset_v0
<p>The dataset contains the data generated for the training of the 6D pose estimation neural network<br>DOPE related to the publication:<br>M. Costanzo, M. De Simone, S. Federico, C. Natale and S. Pirozzi, "Enhanced 6D Pose Estimation for<br>Robotic Fruit Picking," 2023 9th International Conference on Control, Decision and Information<br>Technologies (CoDIT), Rome, Italy, 2023, pp. 901-906, doi: 10.1109/CoDIT58514.2023.10284072.</p>
Data supplementing Lichtenberg et al. (2018) Costs and benefits of alternative food handling tactics help explain facultative exploitation of pollination mutualisms. Ecology
<p>This dataset contains data and scripts that supplement the publication</p> <p>Lichtenberg et al. (2018) Costs and benefits of alternative food handling tactics help explain facultative exploitation of pollination mutualisms. Ecology 99: 1815-1824.</p> <p>https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1002/ecy.2395</p> <p> </p> <p>Please cite the above article if you use any of the included data or code.</p> <p> </p> <p>Files are described in README.md.</p>
This Study Will Investigate How Food and Age Effect the Way the Body Handles the AZD5069 Drug Given as a Oral Dose
ClinicalTrials.gov study NCT01083238. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Diet complexity in early life affects survival in released pheasants by altering foraging efficiency, food choice, handling skills and gut morphology
1. Behavioural and physiological deficiencies are major reasons why reintroduction programmes suffer from high mortality when captive animals are used. Mitigation of these deficiencies is essential for successful reintroduction programmes. 2. Our study manipulated early developmental diet to better replicate foraging behaviour in the wild. Over 2 years, we hand-reared 1800 pheasants (Phasianus colchicus), from 1 day old, for 7 weeks under different dietary conditions. In year one, 900 pheasants were divided into three groups and reared with (i) commercial chick crumb, (ii) crumb plus 1% live mealworm or (iii) crumb plus 5% mixed seed and fruit. In year two, a further 900 pheasants were divided into two groups and reared with (i) commercial chick crumb or (ii) crumb plus a combination of 1% mealworm and 5% mixed seed and fruit. In both years, the commercial chick crumb acted as a control treatment, whilst those with live prey and mixed seeds and fruits mimicking a more naturalistic diet. After 7 weeks reared on these diets, pheasants were released into the wild. 3. Postrelease survival was improved with exposure to more naturalistic diets prior to release. We identified four mechanisms to explain this. Pheasants reared with more naturalistic diets (i) foraged for less time and had a higher likelihood of performing vigilance behaviours, (ii) were quicker at handling live prey items, (iii) were less reliant on supplementary feed which could be withdrawn and (iv) developed different gut morphologies. 4. These mechanisms allowed the pheasants to (i) reduce the risk of predation by reducing exposure time whilst foraging and allowing more time to be vigilant; (ii) be better at handling and discriminating natural food items and not be solely reliant on supplementary feed; and (iii) have a better gut system to cope with the natural forage after the cessation of supplementary feeding in the spring. 5. Learning food discrimination, preference and handling skills by the provision of a more naturalistic diet is essential prior to the release of pheasants in a reintroduction programme. Subsequent diet, foraging behaviour, gut morphology and digestive capabilities all work together as one nutritional complex. Simple manipulations during early development can influence these characteristics to better prepare an individual for survival upon release.
Data from: Diet complexity in early life affects survival in released pheasants by altering foraging efficiency, food choice, handling skills and gut morphology
Open the record for dataset details and reuse information.
Food and Salt Handling in Diuresis
ClinicalTrials.gov study NCT04526340. IPD Sharing: NO. Countries: 1. Publications: 0.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.