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5,510 results for “Foods”
Data and R script for 'Opportunistic food consumption in relation to childhood and adult food insecurity: An exploratory correlational study'
<p>One raw data file and one R script that reproduces all analyses and figures reported in the paper '<strong>Opportunistic food consumption in relation to childhood and adult food insecurity: An exploratory correlational study</strong>' by Nettle et al. </p>
Functional foods and cancer on Pinterest and PubMed: Myths and science
<p>The objective of this study was to identify the correlation between what Pinterest users share about food and cancer, and the scientific evidence on the relationship between cancer and consumption of specific foods. In order to do this, we used PubMed and studied 75 Pins published in Pinterest. We identified about 80,000 scientific articles in PubMed (US National Library of Medicine run by the National Institutes of Health)about cancer and those foods posted on Pinterest in Brazil. We observed that the Pins published in Pinterest have some relation to scientific information despite not being possible to establish if the correlation with the particular food and cancer involved prevention, cure or treatment.</p>
Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016
<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.</p>
Statistical analysis of chlorate occurrence data in food
<p>In accordance with Article 29 (1) (a) of Regulation (EC) No 178/2002, the European Commission asked the European Food Safety Authority (EFSA) in 2014 for a scientific opinion on the risks for human health related to the presence of chlorate in food from all sources, taking also into account its presence in drinking water. The opinion found that “Chronic exposure of adolescent and adult age classes did not exceed the TDI. However, at the 95th percentile the TDI was exceeded in all surveys in ‘Infants’ and ‘Toddlers’ and in some surveys in ‘Other children’. Chronic exposures are of concern in particular in younger age groups with mild or moderate iodine deficiency.” Food manufacturers have started to optimise their manufacturing processes to lower chlorate residue level in foods and the European Commission in 2017 provided a revised Guidance document on good hygiene practices regarding the use of chlorinated disinfectant. It can therefore be expected that chlorate levels in foods are now lower compared with the levels found in the samples from 2011 to 2014. The European Commission (EC) requested EFSA in 2018 to provide an updated statistical analysis on chlorate occurrence levels in foods. A set of 14 Excel tables containing the statistical analysis of reported results for the analysis of chlorates from pesticides monitoring and contaminants monitoring programmes have been prepared. The data is presented at three levels of aggregation using FoodEx product categories. Analysis was performed for two time points, the 2011-2017 dataset contained 15,741 valid results and the 2015-2017 dataset contained 28,033 valid results. Mean, median and percentile (75th, 90th, 95th) for lower bound, middle bound and upper bound concentration values were calculated. Caution should be applied to percentile values calculated from a limited number of results.</p>
Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017
<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017 are provided.</p>
Urban Food Riots in Late Ottoman Bilad al-Sham as a 'Repertoire of Contention'
<p>This repository holds supplementary material such as maps, data sets, and code for my essay ‘Urban Food Riots in Late Ottoman Bilād Al-Shām as a “Repertoire of Contention”’, in <em>Crime, Poverty and Survival in the Middle East and North Africa: The ‘Dangerous Classes’ since 1800</em>, ed. Stephanie Cronin (London: I.B. Tauris, 2019), 157–76. All materials are licensed as <a href="http://creativecommons.org/licenses/by-nd/4.0/">cc by-nd 4.0</a>.</p> <p>Material is organised in the following folders</p> <ul> <li><code>data/</code>: data sets on food prices as CSV.</li> <li><code>maps/</code>: maps/geo-located data for the cities of Damascus, Hama, and Homs - mostly as GeoJSON.</li> <li><code>plots/</code>: plots of time series of various food prices across <em>Bilād al-Shām</em>.</li> <li><code>publication/</code>: the final plots used for the publication.</li> <li><code>r/</code>: R scripts for plotting the price data on a timeline.</li> </ul>
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>
Elevated Atopic Comorbidity in Patients with Food Protein-Induced Enterocolitis
<p>Dataset used for manuscript</p>
Quinolizidine alkaloids in food and feed - annexes on dietary surveys, occurrence data and dietary exposure assessment
<p>Supplementary information to the <strong>Scientific opinion on the risks for animal and human health related to the presence of quinolizidine alkaloids in feed and food, in particular in lupins and lupin-derived products</strong></p> <p>Annex A – Dietary surveys and occurrence data in food submitted to EFSA</p> <p>Annex B – Occurrence data in feed submitted to EFSA</p> <p>Annex C – Results of acute dietary exposure assessment to quinolizidine alkaloids</p>
Figure 2 in Competition for food between the markhor and domestic goat in Chitral, Pakistan
Figure 2. Proportions of plant species in the diets of markhor and domestic goats; (a) during spring 2009, (b) during summer 2009.
Figure 4 in Capture of Mediterranean Fruit Flies and Melon Flies (Diptera: Tephritidae) in Food-Baited Traps in Hawaii
Figure 4. Numbers of female and male C. cucurbitae captured in Multilure traps baited with torula yeast/borax pellets (TY) or Ceratrap (CT) over the 6-week sampling period in January–February 2015. Bar heights represent averages of 15 traps per bait type; whiskers represent + 1 SE.
Figure 2 in Food patch particularity and forging strategy of reintroduced Przewalski's horse in North Xinjiang, China
Figure 2. Feed patches area and the corresponding feeding time unit area. Black bars represent each feed patch area in km2 while white bars represent the corresponding feeding time per unit area in min/km2.
Figure 3 in Diceraeus melacanthus (Dallas) (Hemiptera: Pentatomidae) development, preference for feeding and oviposition related to different food sources
Figure 3 Number of stink bugs (means ± SE) per food source associated with the feeding preference (trial 2) of Diceraeus melacanthus adults. Bars represent the average of evaluations performed during 24 and 48 hours. Means followed by the same letter do not differ according to the Tukey test (p ≥ 0.05). Food: soybean seedlings (SS), Commelina benghalensis branches (CbB), maize seedlings (MS), moistened soybean grains (MSG), no food preference (NONE). Analysis performed on data transformed to x + 0.5. nsAnova not significant.
Figure 1 in Diceraeus melacanthus (Dallas) (Hemiptera: Pentatomidae) development, preference for feeding and oviposition related to different food sources
Figure 1 Scheme (not drawn to scale) of the cages used for the oviposition preference experiment (trial 3), depicting the circles inside each cage in which different plants were randomly offered to the stink bugs.
Figure 2 in Diceraeus melacanthus (Dallas) (Hemiptera: Pentatomidae) development, preference for feeding and oviposition related to different food sources
Figure 2 Arena (not drawn to scale) used for the feeding preference experiment (trial 2) of Diceraeus melacanthus between different food sources.
Fig. 3 in Development of in-country live food production for amphibian conservation: The Mountain Chicken Frog (Leptodactylus fallax) on Dominica, West Indies
Fig. 3. (A) Two rows of cricket breeding containers and cockroach breeding bins below. (B) Inside of a cricket breeding container, including refugia, food items, and several egg laying containers, transplanted into an empty container to allow eggs to hatch. (C) Inside view of a cockroach breeding bin, including substrate, refugia, and several food items. Photos: D. Nicholson.
Fig. 2 in Development of in-country live food production for amphibian conservation: The Mountain Chicken Frog (Leptodactylus fallax) on Dominica, West Indies
Fig. 2. Cultured species at the CBP in Dominica. (A) Gryllodes sigillatus. (B) Gryllus assimilis. (C) Caribacusta dominica. (D) Blaberus discoidalis. (E) Zophobas atratus. (F) Veronicella sloanii. (G) Pleurodonte dentiens. (H) Leptogoniulus sp. Photos: D. Nicholson.
Figure. Food preferences of Chinese mole shrew (Anourosorex squamipes) from an urban area. a, b, c, d. Mean relative consumption along six trials for each food set are shown in a, b, c, d, respectively. (see materials and methods for details on the calculation of relative consumption). in Natural animal food preference of Chinese mole shrew (Anourosorex squamipes) from an urban area: a laboratory study
Figure. Food preferences of Chinese mole shrew (Anourosorex squamipes) from an urban area. a, b, c, d. Mean relative consumption along six trials for each food set are shown in a, b, c, d, respectively. (see materials and methods for details on the calculation of relative consumption).
Figure 9 in The web amount and quality of web spiders (Agelenidae, Pholcidae), Agelena labyrinthica (Clerck, 1757) and Holocnemus pluchei (Scopoli, 1763), depending on food and temperature
Figure 9. Amounts of food consumed by Holocnemus pluchei at 25–30 °C (1: Drosophyla melanogaster; 2: food caught with insect net).
Figure 8 in The web amount and quality of web spiders (Agelenidae, Pholcidae), Agelena labyrinthica (Clerck, 1757) and Holocnemus pluchei (Scopoli, 1763), depending on food and temperature
Figure 8. Food amounts of Holocnemus pluchei at 20–25 °C (1: Drosophila melanogaster; 2: food caught with insect net).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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