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230 results for “food assessment”
Food fraud vulnerability assessment data (on spice/ginger and wine)
<p>The dataset includes the results of food fraud vulnerability assessments (on spice/ginger and wine) of various companies based in China and Europe. The data form part of WP3 (Task 3.2): <em>Implementation of innovations in food authenticity. </em>The data is generated to better understand the food fraud vulnerability within selected food chains. The data is useful for anyone working in the field of food authentication.</p>
Data and R Code from "A novel approach to sustainability assessment of food supply chains using networks of ecosystem services"
<p>Data and R code from this paper applying network analysis (iGraph) to two case studies pre and post agroecological transitions in Central America and Tanzania, Africa from the IPES-Food report. Further descriptions of this data and code can be found within the extended manuscript. R Code relies on the data from the scenarios (e.g., Nodes and Relations CSVs) and creates the output network metrics (e.g., Node Metric CSVs). </p>
Risk assessment on Glycoalkaloids in feed and food: Occurrence data in food and feed submitted to EFSA and dietary exposure assessment for humans
<p><strong>UPDATE to version 2 of this upload:</strong></p> <p>Also the raw (no data cleaning applied to it) occurrence dataset as extracted from EFSA DWH is provided <em>in csv format</em>. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields).</p> <p><strong>Description - Version 1</strong></p> <p><strong>Annex: Tables on GAs on occurrence data in food and feed, and dietary exposure assessment for humans</strong></p> <p>Table A.1. Dietary surveys used for the estimation of acute dietary exposure to GA</p> <p>Table A.2. Number of results and samples per food category submitted to EFSA through the continuous call for data</p> <p>Table A.3. Analytical results excluded from the final dataset used to estimate dietary exposure and the criteria applied for exclusion</p> <p>Table A.4. Occurrence of alpha-chaconine and alpha-solanine (UB mg/kg) in the samples included in the final dataset (left censored results highlighted in yellow)</p> <p>Table A.5. European Starch Association data on feed and potatoes for starch</p> <p>Table A.6. Details acute assessment across surveys (consumption days only)</p> <p>Table A.7. Comparison of exposure summary results obtained using the uniform vs the normal distribution for reduction factors</p>
Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data
<p><strong>Assessing ambitious nature conservation strategies in a below 2-degree and food-secure world – supplementary spatial data</strong></p><p><strong>Authors: </strong>Marcel Kok, Johan Meijer, Willem-Jan van Zeist, Jelle Hilbers, Marco Immovilli, Jan Janse, Elke Stehfest, Michel Bakkenes, Andrzej Tabeau, Aafke Schipper, Rob Alkemade</p><p><strong>Point of contact:</strong> <a href="mailto:Marcel.Kok@pbl.nl">Marcel.Kok@pbl.nl</a></p><p><strong>Research paper summary:</strong> Global biodiversity is projected to further decline under a wide range of future socio-economic development pathways, even in sustainability-oriented scenarios. This raises the question how biodiversity can be put on a path to recovery, the core challenge for the implementation of the CBD Kunming-Montreal Global Biodiversity Framework. We designed two ambitious global conservation strategies, 'Half Earth' (HE) and 'Sharing the Planet' (SP), and evaluated their ability to restore terrestrial and freshwater biodiversity and to provide nature's contributions to people (NCP), while also limiting global warming below 2 degrees and ensuring food security. We applied the integrated assessment framework IMAGE with the GLOBIO biodiversity model, using the 'Middle of the Road' Shared Socio-economic Pathway (SSP2) with its projected human population growth as baseline. We found that the HE strategy performs generally better for terrestrial biodiversity (biodiversity intactness (MSA), Area of Habitat, Living Planet Index, Red List Index) in currently still natural regions. The SP strategy yields more improvements for biodiversity in human-used areas, for freshwater biodiversity and for regulating NCP (pest control, pollination, erosion control, water quality). However, both strategies were insufficient to restore biodiversity and corresponded with considerable increases in food security risks and global temperature. Only when we combined the conservation strategies with a portfolio of 'integrated sustainability measures', including climate change mitigation and reductions of food waste and animal product consumption, our scenarios resulted in a restoration of biodiversity and NCP while keeping global warming below two degrees and food security risks below the baseline projection.</p><p><strong>Contents:</strong> This repository contains the supplementary spatial data describing the specific prioritization of conservation areas under the Half Earth (HE) and Sharing the Planet (SP) scenarios, and the resulting scenario land use and MSA data sets for the year 2050, including also a baseline (BL) scenario. All spatial data is in geotiff format at a 10 arcsecond resolution in WGS84 coordinate system. Detailed description of the methodology is provided in the paper listed under "related identifiers".</p><p><strong>Keywords:</strong> Nature conservation, Half Earth, Sharing the Planet, Climate Change, Food Security, Solution-oriented scenarios, Biodiversity, Nature's Contribution to People, NCP</p>
Regional assessment of the current status of Short Food Supply Chains
<p>The assessment of the current status of the Short Food Supply Chains (SFSCs) in each of the 12 Beacon Regions (focal regions) of the agroBRIDGES project is one of the different key aspects that jointly conform to the overall project concept.</p> <p>It is important to study the existing knowledge and SFSCs in each region, to identify and later stimulate the wide adoption of sustainable SFSC-based business models already existing successfully in one or some of the regions. The traditional/current business models, that will be spotted here, like the new SFSCs business and marketing models to be developed later, be categorised, and analysed from an economic (with special attention on producer’s income), environmental and social point of view.</p> <p>The 12 Beacon Regions portrayed in this report are listed in the table below:</p> <table> <thead> <tr> <th> <p><strong>Country</strong></p> </th> <th> <p><strong>Region</strong></p> </th> <th> <p><strong>Beacon Region Leader </strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>Greece</p> </td> <td> <p>Central Macedonia</p> </td> <td> <p>Q-PLAN</p> </td> </tr> <tr> <td> <p>Finland</p> </td> <td> <p>All</p> </td> <td> <p>VTT</p> </td> </tr> <tr> <td> <p>Netherlands</p> </td> <td> <p>All</p> </td> <td> <p>WU</p> </td> </tr> <tr> <td> <p>Italy</p> </td> <td> <p>Lazio and Piemonte</p> </td> <td> <p>CREA</p> </td> </tr> <tr> <td> <p>Ireland</p> </td> <td> <p>All</p> </td> <td> <p>MTU</p> </td> </tr> <tr> <td> <p>Denmark</p> </td> <td> <p>All</p> </td> <td> <p>FBCD</p> </td> </tr> <tr> <td> <p>Spain</p> </td> <td> <p>Andalucia</p> </td> <td> <p>CTA</p> </td> </tr> <tr> <td> <p>Poland</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>Latvia</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>Lithuania</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>France</p> </td> <td> <p>Bretagne, Pays de la Loire, Auvergne – Rhône Alpes</p> </td> <td> <p>VGP</p> </td> </tr> <tr> <td> <p>Turkey</p> </td> <td> <p>All</p> </td> <td> <p>SUF</p> </td> </tr> </tbody> </table> <p>All Beacon Regions have contributed data and insights about their specific region collected through desk research. They have focused on 2 appointed sectors that is of importance for the region. The focal sectors have been settled in the application for this project. The knowledge generated in the desk research is qualified through interviews with members of the regional Multi Actor Platform (MAP). Some interviews are summarized in the document, while others are integrated into the description.</p> <p>For each Beacon Region the current status of SFSCs is described in these chapters:</p> <ul> <li>Overall status</li> <li>Main regional drivers</li> <li>Environmental aspects</li> <li>Economic aspects</li> <li>Social aspects</li> </ul> <p>Along this information you will find a description of 5-10 important business or marketing models for each region together with statistics on market sectors and size. The description of the models is based on Business Model Canvas.</p> <p>The dataset contains the 12 regional reports, outlining the core topics of the regional assessment described above. In some regional reports, the notes from interviews with local actors are available and provided in the respective Annex. </p>
Skin care interventions for preventing eczema and food allergy: RoB 2 assessments
<p>This excel file contains the detailed risk of bias assessment data, with consensus responses to the signalling questions, using the Cochrane Risk of bias 2 tool for Kelleher MM, Cro S, Cornelius V, Axon E, Lodrup Carlsen KC, Skjerven HOve, Rehbinder EMaria, Lowe A, Dissanayake E, Shimojo N, Yonezawa K, Ohya Y, Yamamoto-Hanada K, Morita K, Surber C, Cork M, Cooke A, Tran L, Askie LM, Duley L, Van Vogt E, Chalmers JR, Williams HC, Boyle RJ. Skincare interventions in infants for preventing eczema and food allergy. Cochrane Database of Systematic Reviews 2020, Issue 2. Art. No.: CD013534. DOI: 10.1002/14651858.CD013534.</p>
F I G U R E 3 A in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 3 A range of factors affect the fate of food DNA in dietary samples and influence the interpretation of molecularly derived trophic data. These factors can be grouped into methodological, biological and environmental aspects
F I G U R E 2 in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 2 Schematic overview of different types of primers: species-specific (red), group-specific (green), general (blue) and blocking (yellow) primers in a hypothetical food chain and corresponding DNA sequences of involved taxa. Dots in the sequence alignment denote identical bases as in the topmost sequence
F I G U R E 1 in Fish as predators and prey: DNA-based assessment of their role in food webs
F I G U R E 1 Schematic overview of the workflow when analysing dietary samples molecularly: sample collection (gut content, regurgitate, faeces), extraction of total DNA, identification of food DNA via diagnostic PCR and/or metabarcoding, respectively
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>
Figura 1 in Using ( food a sentinel colony of Apis mellifera Hymenoptera: Apidae) to assess pesticides and sources
Figura 1. Imagen de la izquierda: mapa de Argentina y zona de estudio indicada con el círculo amarillo. Imagen de la derecha: rango de hogar de las abejas melíferas pecoreadoras en nuestro apiario experimental en la Escuela de Agricultura y Sacarotecnia, Argentina.
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>
Fig. 2 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 2. Diet composition variation, during breeding season, between hornbill species [Great Hornbill (GH), Wreathed Hornbill (WH), Oriental Pied Hornbill (PH), and White-throated Brown Hornbill (BH)] and White-handed Gibbons (GB).
Fig. 4 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 4. Correspondence Analysis per hornbill nest and gibbon group: a, with all plant species included (n = 58); b, with the genus Ficus and P. viridis excluded; c, with only P. viridis excluded; d, with only the genus Ficus excluded. Hornbill species [Great Hornbill ◆, Wreathed Hornbill ■, Oriental Pied Hornbill ▲, and White-throated Brown Hornbill ■] and White-handed Gibbons ▲.
Fig. 3 in An Assessment Of Food Overlap Between Gibbons And Hornbills
Fig. 3. Correspondence Analysis per animal species: a, with all plant species included (n = 58); b, with the genus Ficus and P. viridis excluded; c, with only P. viridis excluded; d, with only the genus Ficus excluded. Hornbill species [Great Hornbill (GH), Wreathed Hornbill (WH), Oriental Pied Hornbill (PH), and White-throated Brown Hornbill (BH)] and White-handed Gibbons (GB).
A Study to Assess the Relative Bioavailability, Effect of Food, and Gastric Potential Hydrogen (pH) Modification on the Pharmacokinetics (PK) of TAK-931 in Participants With Advanced Solid Tumors
ClinicalTrials.gov study NCT03708211. IPD Sharing: YES. Countries: 1. Publications: 1.
Risk assessment of Ochratoxin A in food - Summary statistics on occurrence and consumption data and exposure assessment results - Final occurrence data
<p><strong>Annex: Summary statistics on occurrence and consumption data and exposure assessment results</strong></p> <p>Table 1 Number of analytical results excluded from the initial dataset during data cleaning, and justification for exclusion</p> <p>Table 2 Occurrence values of OTA (µg/kg) in food as reported in the cleaned database</p> <p>Table 3 Occurrence values of OTA (µg/kg) in food as used for the exposure assessment</p> <p>Table 4 Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment</p> <p>Table 5 Results of chronic dietary exposure assessment on OTA (ng/kg bw per day)</p> <p>Table 6 Main contributing food categories to the mean LB exposure assessments to OTA across European dietary surveys and population groups</p> <p>Table 7 Distribution of LOQ values among the different food categories</p> <p>Table 8 All contributing food categories to the mean LB and UB exposure to OTA across European dietary surveys and population groups</p> <p> </p> <p><strong>FormattedDATA_OchratoxinA.zip: Occurrence data on OTA</strong></p> <p>Contains the occurrence data of OTA on 73,891 food samples presented in the opinion as described in its section 4.7 Occurrence data.</p> <p>The link to the catalogues of controlled terminologies can be found under "Related identifiers”.</p>
EUROMALT Briefing note No. 2 Ochratoxin A - Additional document from EUROMALT supporting the comments submitted during the public consultation on the Risk assessment of ochratoxin A in food
<p>This document has been submitted by EUROMALT as additional document supporting the comments submitted during the public consultation organised by the European Food Safety Authority in relation to the draft scientific opinion on the Risk assessment of ochratoxin A in food. The text of the comments is published in the Technical report of the public consultation - see related identifiers section, http://doi.org/10.2903/sp.efsa.2020.1845</p> <p> </p> <p>EUROMALT has agreed by email submitted to EFSA to disclose this confidential document and to have it published on Zenodo.</p> <p>.</p>
Annexes to the Update of the risk assessment of nickel in food and drinking water
<p><strong>Annex A – Benchmark dose analysis </strong></p> <p>The Annex is provided as a separate pdf file containing the detailed results of the benchmark dose analyses from which no reference point was selected. </p> <p><strong>Annex B – Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment </strong></p> <p>The Annex is provided as a separate Excel file containing the dietary surveys per country and age group.</p> <p><strong>Annex C – Occurrence data on nickel in food and drinking water</strong></p> <p>The Annex is provided as a separate Excel file containing summary statistics on occurrence data on nickel.</p> <p><strong>Annex D – Chronic and acute dietary exposure to nickel and the contribution of different food groups to the dietary exposure</strong></p> <p>The Annex is provided as a separate Excel file containing the chronic and acute dietary exposure to nickel per survey and the contribution of different food groups to the dietary exposure. </p>
A Consumer Study on the Acceptance of Digitized Packaging for Food Quality Assessment
<p>Supplementary diagrams and pre-processed dataset to reproduce the findings of the publication "A Consumer Study on the Acceptance of Digitized Packaging for Food Quality Assessment" by Elia Henrichs, Julia Marie Senge, and Christian Krupitzer (University of Hohenheim, Department of Food Informatics and Computational Science Hub, Fruwirthstr. 21, D-70599 Stuttgart, Germany).</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
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.