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5,510 results for “Foods”
Global Luxury Food Market 2024 To 2033
<p><a href="https://www.custommarketinsights.com/report/luxury-food-market/" target="_blank" rel="noopener">Luxury Food Market Size</a>, Trends and Insights By Type (Vegetarian Food, Poultry, Pork, Meat, Seafood, Others), By Distribution Channel (Online Retailers, Specialty Stores, Supermarkets and Hypermarkets, Gourmet Food Stores, Hotel and Restaurant Supply, Duty-Free Shops, Direct Sales), By End-User (Small Food Chains, High-End Restaurants), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p><strong>Reports Description</strong></p> <p>The CMI Team’s most recent market research predicts that from 2024 to 2033, the global market for luxury foods will grow at a CAGR of 17.45%. In 2024, the market size is projected to reach a valuation of USD <strong>194.1 Billion</strong>. By 2033, the valuation is anticipated to reach USD <strong>702.69 Billion</strong><strong>.</strong></p> <p>The Luxury Food market has experienced an increase in the use of on-demand delivery services and an uplift in the demand for luxury dining services. However, one transition that has shifted drastically is eating habits, which has greatly accelerated Luxury Food and delivery services.</p> <p>According to a National Restaurant Association survey, as the convenience and speed of online and app-based ordering in other industries continue to influence consumer habits, nearly 60% of restaurant visits are now off-premises in all forms, including drive-thru, takeaway, and delivery.</p> <p>Customers are especially interested in consumer-facing solutions like drive-thru upgrades, order accuracy tracking, and seamless mobile ordering. Key areas for growth include: 92% of consumers use drive-thru at least once a month., 34% of consumers utilize delivery more often., 79% of consumers use restaurant delivery, and 53% use third-party) at least once a month.</p> <p>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=57541" target="_blank" rel="noopener">https://www.custommarketinsights.com/request-for-free-sample/?reportid=57541</a></p>
Food Recall Incidents
<p>The Food Recall Incidents dataset consists of 7,546 short texts (from 5 to 360 characters each), which are the titles of food recall announcements (therefore referred to as <em>title</em>), and their full-length texts (from 56 to 48,318 characters). The data are crawled from 24 public food safety authority websites by <a href="https://agroknow.com/">Agroknow</a>. All texts are written in 6 languages, with English (6,644) and German (888) being the most common, followed by French (8), Greek (4), Italian (1) and Danish (1). Most of the texts have been authored after 2010 and they describe recalls of specific food products due to specific hazards. Experts manually classified each text to four groups of classes describing hazards and products on two levels of granularity:</p> <div> <div> <ul> <li><em>hazard</em>: fine-grained description of the hazards mentioned in the texts comprising 261 classes;</li> <li><em>hazard-category</em>: categorized version of the <em>hazard</em> classification task comprising 10 classes;</li> <li><em>product</em>: fine-grained description of the products mentioned in the texts comprising 1,256 classes;</li> <li><em>product-category</em>: categorized version of the <em>product</em> classification task comprising 22 classes.</li> </ul> <p>The columns <em>hazard-title</em> and <em>product-title</em> comprise character spans, generated based on feature importance of a Logistic Regression (LR) classifier. These signify parts of the <em>title</em> that are important for hazard and product classification. Due to their very low support for many classes, the fine-grained tasks of hazard and product classification may require further pre-processing (e.g. label clustering or filtering), dependent on the application. The dataset comprises also metadata, such as the release date of the text (<em>year</em>, <em>month</em>, <em>day</em>), the language of the text (<em>language</em>), and the country of issue (<em>country</em>).</p> <blockquote> <p><strong>DISCLAIMER: </strong><em>A random sample of 1,562 instances was used for validation and testing for the purposes of the <a href="https://food-hazard-detection-semeval-2025.github.io/">SemEval 2025 Task 9: The Food Hazard Detection Challenge</a>, labelled respectively in the <strong>semeval-split </strong>column.</em></p> </blockquote> </div> </div>
Supplementary material for "Food availability affects parental anti-predator behaviour in red kites"
<p><strong>Abstract</strong></p> <p>Parental investment theory proposes two non-mutually exclusive hypotheses to explain variation in anti-predator behaviour in relation to the age of offspring: the “reproductive value of offspring” hypothesis and the “harm to offspring” hypothesis. The relative importance of the two factors underlying the hypotheses, reproductive value and harm, may change depending on environmental conditions such as food availability. To test the relative importance of the two hypotheses under different food conditions, we conducted a supplementary feeding experiment in red kite (<em>Milvus milvus</em>) breeding pairs and used a live eagle owl (<em>Bubo bubo</em>) as decoy nest predator to trigger anti-predator behaviour. We used time-to-capture in mist nets mounted next to the decoy predator as proxy for mobbing intensity. Under natural food conditions we found a nearly constant mobbing intensity throughout the entire nestling period. However, under food-enhanced conditions mobbing intensity was reduced in parents with young nestlings and increased in parents with old nestlings. These results suggest greater importance of the “reproductive value of offspring” hypothesis in situations of favourable food availability. Moreover, mobbing intensity depended on brood size and weather conditions. The results suggest that parental anti-predator investment increases with the reproductive value of the brood under favourable breeding conditions, but that this pattern is adjusted to the current context, including the vulnerability of the brood and environmental conditions.</p>
A personalized value-based justification in food swaps to stimulate healthy online food choices
<p>This study examined the effect of a personalized value-based justification in explaining the rationale behind healthy food swaps. Additionally, consumers' willingness to share their personal information with retailers to personalize swap recommendations is explored.</p>
Upcycling food ingredients from orange by-products by hot air-microwave drying. Impact on energy consumption.
<p>Currently industrial citrus by-products represent a relevant environmental issue. The main aim of this work was the chemical characterization of the different bioactive compounds obtained after hot air-microwave drying (HAD+MW) of orange by-products, and their further conversion into three <strong>upcycled </strong>ingredients with health-related benefits: aqueous extract, ethanolic extract and <strong>dietary fibre</strong>. Total phenolics, antioxidant capacity, individual phenolic acids, flavonoids, limonin and carotenoids were monitored during blanching and colour extraction steps by analysing fresh by-products and process co-products: an aqueous extract rich in polyphenols and an ethanolic extract rich in carotenoids. After drying, the resulting fibre was characterized in terms of chemical composition, soluble and insoluble dietary fibre content and particle size. Technological properties and colour were compared to those of commercial citrus fibre. Energy and time consumption were compared with conventional hot air drying (HAD). Most polyphenols (50-65 %) and limonin (70 %) were extracted during the blanching step. 86 % of carotenoids were removed by soaking in ethanol. The orange fibre obtained had 71.9 g DF/ 100 g and antioxidant properties (205 mg TE/ Kg<sub>dm</sub>). Whiteness, water retention capacity and oil retention capacity were similar to commercial citrus fibre. HAD+MW reduced drying time and energy consumption by up to 50 % compared to HAD.</p>
Videos: EIT Food - SmartBreakfast project
<p>Videos about EIT-Food SmartBreakfast project, 3D printed breakfast bar and a senior consumer test carried out at AZTI.</p> <p><strong>YouTube links</strong>:</p> <p><a href="http://: https://www.youtube.com/watch?v=UplSyeEv-2s&t=3s">SmartBreakfast project – EIT Food: partners, objectives and results</a></p> <p><a href="https://www.youtube.com/watch?v=G2ps2qSgN88">3D printer Breakfast Bar</a></p> <p><a href="https://www.youtube.com/watch?v=N9Uck-ImBms">Senior consumer test of a 3D printed breakfast bar</a></p>
Data used for manuscript "The coordination of green-brown food webs and their disruption by anthropogenic nutrient inputs"
<p>Data used for manuscript "The coordination of green-brown food webs and their disruption by anthropogenic nutrient inputs".</p> <p>This includes estimations of various properties of food webs, such as stocks of compartments, fluxes between compartments, and conversion efficiencies.</p>
Global and regional health and food security under strict conservation scenarios.
<p>Data supporting Nature Sustainability paper 'Global and regional health and food security under strict conservation scenarios'. Zipped folder contains LandSyMM output used to generate results. The tif files are the biodiversity prioritisation areas used in the 50% and 30% strict protection scenarios generated as per the methods in Jung, M., Arnell, A., de Lamo, X. <em>et al.</em> Areas of global importance for conserving terrestrial biodiversity, carbon and water. <em>Nat Ecol Evol</em> <strong>5, </strong>1499–1509 (2021). https://doi.org/10.1038/s41559-021-01528-7. </p>
Fig. 1 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 1. Coastal plain of Rio Grande do Sul in southern Brazil showing the Patos-Mirim lagoon complex (a) and the location of the four sampling sites where the specimens of the pearl cichlid Geophagus brasiliensis were collected (b).
Fig. 3. a in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 3. a: Percentage of empty stomachs (PES) according to sexual maturity (immature and mature) and gender (female and male). b: Mean values (+ standard error) of the total food content expressed in volume (log10(x+1) transformed) in the digestive tract of the pearl cichlid Geophagus brasiliensis.
Fig. 2 in Diet and food consumption of the pearl cichlid Geophagus brasiliensis (Teleostei: Cichlidae): relationships with gender and sexual maturity
Fig. 2. Volume (%, black bars) and frequency of occurrence (%, gray bars) of the main food categories found in the digestive tracts of the pearl cichlid Geophagus brasiliensis.
Model output data and figures' code for Fujimori & Wu et al., Land-based climate change mitigation measures can affect agricultural markets and food security
<p>Model output data and figures' code for "Fujimori & Wu et al., Land-based climate change mitigation measures can affect agricultural markets and food security" in Nature Food (DOI: 10.1038/s43016-022-00464-4)</p>
Application of multi-analyte / multi-matrix screening method for pesticide residues in fruits and vegetables to Interaboratory Comparison Study on Pesticide Residues in Food (ILC)
<p>The suitability of multi-analyte / multi-matrix screening method for pesticide residues in fruits and vegetables and related products, developed within activities of task (Multi-analyte / multi-matrix screening method for pesticide residues in fruits and vegetables (including tea) and fruit juices), was evaluated by the Interaboratory Comparison Study on Pesticide Residues in Food (ILC). Test material (“Pesticide Residues in green tea”), prepared from the batch used for another proficiency test (PT), was provided by Fapas (Fera Science Ltd, York, UK).</p> <p>Data set obtains (i) information about performance characteristics of the analytical method and (ii) compilation of results of interlaboratory study.</p>
Topical Classification of Food Safety Publications with a Knowledge Base – materials
<p>Supplementary material for the article titled "<strong><a href="https://doi.org/10.1007/978-981-19-4364-5_48">Topical Classification of Food Safety Publications with a Knowledge Base</a></strong>".</p> <p><strong>Citation</strong></p> <p>If you use this data in research work, please cite this paper:</p> <p>Sowinski, P., Wasielewska-Michniewska, K., Ganzha, M., & Paprzycki, M. (2022). Topical Classification of Food Safety Publications with a Knowledge Base. In <em>Sustainable Technology and Advanced Computing in Electrical Engineering</em> (pp. 673-693). Springer, Singapore.</p> <p>BibTeX:</p> <pre><code>@incollection{sowinski2022topical, title={Topical Classification of Food Safety Publications with a Knowledge Base}, author={Sowinski, Piotr and Wasielewska-Michniewska, Katarzyna and Ganzha, Maria and Paprzycki, Marcin}, booktitle={Sustainable Technology and Advanced Computing in Electrical Engineering}, pages={673--693}, year={2022}, publisher={Springer}, doi={10.1007/978-981-19-4364-5_48} }</code></pre> <p> </p>
Data for the paper: Water-Food-Energy nexus: Learning from global cities using machine learning algorithms
<p>This data respository contains the datasets used to produce the "<strong>Water-Food-Energy nexus: Learning from global cities using machine learning algorithms" </strong>article. </p>
Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level
<p><strong>Abstract</strong></p> <p>Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply for the first time quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrients enrichment and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified post-disturbance interaction strength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticides interactions to be significant in the long term only when both interactions strength and food web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.</p> <p><strong>Significance Statement</strong></p> <p>Multiple anthropogenic disturbances affect the structure and functioning of communities. Recent evidence highlighted that, after pulse disturbance, the functioning a community performs may be recovered fast due to functional redundancy, whereas community multivariate composition needs longer time. Yet, the mechanisms that drive the different community recovery times have not been quantified empirically. We use quantitative food web analysis to assess the influence of species interactions on community recovery. We found species interactions strength to be the main mechanism driving differences between structural and functional recovery. Additionally, we show that interactions between multiple disturbances appear in the long term only when both species interaction strength and food web architecture change significantly.</p> <p>Please see the "readme" sheet in the datafile for a description of the file structure and treatments abreviations.</p>
Specific report on sterilized baby food packaging
<p>This data was used for the redaction of the project deliverable "D2.3: Specific report on sterilized baby food ". It is a Specific report on barriers and opportunities for European consumers concerning innovative packaging of sterilized baby food.</p> <p>Moreover, this data is from the scientific publications "<a href="https://www.sciencedirect.com/science/article/pii/S0166497221001723#gs1"><strong>Misalignments between users and designers as source of inspiration: A novel hybrid method for physical new product development</strong></a>" and“<a href="https://www.sciencedirect.com/science/article/pii/S0272494421001778?via%3Dihub%22%20l%20%22ack001"><strong>A meaningful reminder on sustainability: When explicit and implicit packaging cues meet</strong></a>”.</p>
United Kingdom results from the monitoring of pesticide residues in food
<p>This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.</p> <p>A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.</p> <p>If a sample <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL)</p> <p>A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.</p> <p> </p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>MOPER_2020 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2019 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2018 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2017 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2016 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2015 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2014 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2013 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2012 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p>MOPER_2011 - Chemicals Regulation Directorate, Health and Safety Executive</p> <p> </p> <p><strong>We are seeking feedback on our open data please complete the survey at the link below:<br> https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong></p>
European plant-based foods sales data 2017-2020 (Nielsen Market Track)
<ul> <li>The dataset consists of Excel (.xlsx) files with data on sales of plant-based food products between 2017 and 2020 in a number of European countries (i.e. Austria, Belgium, Denmark, France, Germany, Italy, the Netherlands, Poland, Romania, Spain and the UK.)</li> </ul> <ul> <li>The data are clearly labelled within each file. The key variables (common across datasets) are Value in Euros, Volume in KG/LIT and Volume in Selling Units for a number of meat and dairy substitute food products specific to the retail region.</li> </ul> <ul> <li>The data were originally collected by Nielsen Market Track. They were analysed on the <a href="http://www.smartproteinproject.eu">Smart Protein project</a> in 2021 and used to publish an extensive <a href="https://smartproteinproject.eu/plant-based-food-sector-report/">market data report</a> and to host a <a href="https://www.youtube.com/watch?v=dsIJqvpXXgw">public webinar</a>, both entitled <em>Plant-based foods in Europe: how big is the market?</em></li> </ul> <p> </p>
Datasets and R-codes complementing the Opinion of the Norwegian Scientific Committee for Food and Environment (VKM) "Risk-Benefit Assessment of Sunscreen"
<p>These datasets complement the Opinion of the Norwegian Scientific Committee for Food and Environment (VKM) "Risk-Benefit Assessment of Sunscreen". They contain:</p> <p>i) data on concentration of the UV filters bis-ethyl-hexyloxyphenol methoxyphenyl triazine (BEMT), butyl methoxydibenzoyl methane (BMDBM), 2-ethylhexyl salicylate (EHS), ethylhexyl triazone (EHT), octocrylene (OC), and titanium dioxide in nanoform (NP-TiO<sub>2</sub>) in commercially available sunscreens,</p> <p>ii) data on amount sunscreen used, and</p> <p>iii) data on dermal absorption of the UV filters bis-ethyl-hexyloxyphenol methoxyphenyl triazine (BEMT), butyl methoxydibenzoyl methane (BMDBM), 2-ethylhexyl salicylate (EHS), ethylhexyl triazone (EHT), octocrylene (OC), and titanium dioxide in nanoform (NP-TiO<sub>2</sub>).</p> <p>The data are used in the probabilistic exposure estimations in the Opinion. The data were retrieved from open sources.</p> <p>In addition, the R-codes used to perform the exposure estimation, are included.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.