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5,510 results for “Foods”
Workshop - European initiatives for nutrient recycling in agri-food systems
<p>This is the video of the workshop (16 December 2019 – Vila-sana, Lleida, Spain) jointly organised by the Circular Agronomics project and the H2020 project <a href="https://www.nutri2cycle.eu/">Nutri2Cycle</a> on European initiatives for nutrient recycling in agri-food systems.</p> <p>The event showcased the various strategies that exist across Europe to recycle nutrients and that the different EU-funded projects already working to achieve this can complement one another in order to attain a common goal.</p> <p>One of the experimental sites within the Catalonia case study of the Circular Agronomics project was visited.</p>
Reconstructing marine plankton food web interactions using DNA metabarcoding - Supplementary Dataset
<p>### This repository contains two separate datasets:</p> <p>1. *16S rRNA* gene dataset and<br> 2. *18S rRNA* gene dataset.</p> <p> </p> <p><br> ### The data is stored as ASV-file</p> <p>(Amplicon sequence variants) including:</p> <p>1. Exact sequence of ASV<br> 2. Taxonomic afiliation<br> 3. Read count matrix per sample sequencing library.</p> <p> </p> <p><br> ### Each dataset comes with a metadata-file.</p> <p>The metadata files contains the following variables:</p> <p>- **NGI.-Sample_ID** The Unique Sequenceing Library ID.<br> - **SAMPLE_ID** Identification of environmental *In_Situ* sample event.<br> - **SAMPLE_date** Date of sampling (YYY-MM-DD).<br> - **SAMPLE_type** Type of sample (Water or Zooplankton).<br> - **SAMPLE_method** Device used for sampling *In-Situ*.<br> - **SAMPLE_depth** Depth of sampling.<br> - **GENE** Marker gene.<br> - **INNER_primer** Primer pair ID used for PCR.<br> - **INNER_blocking** Weather blocking PNA has been used for PCR or not.</p> <p>For Zooplankton saples:<br> <br> - **SORTED_type** Taxonomic affiliation of Zooplankton (Blank for water samples).<br> - **SORTED_genus** Genus of sorted Zooplankton species (Blank for water samples).<br> - **SORTED_number** Number of individuals sorted in the sample.<br> <br> For Water samples:<br> <br> - **FILTER_poresize** Size in micrometer.<br> - **FILTER_material**<br> - **FILTER_volume** Volume of water filtered (L).</p>
Spatial Distribution of the International Food Prices: Unexpected Heterogeneity and Randomness
<p>Global <a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/food-prices">food prices</a> are typically analysed in a time-series framework. We complement this approach by focusing on the spatial <a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/price-dispersion">price dispersion</a> of the country-pair bilateral trade in the international food trade network (<em>IFTN</em>), for ten relevant commodities. The main purposes are to verify if the <a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/price-convergence">Law of One Price</a> (<em>LOP</em>) holds and to investigate the emergence of randomness in the price-formation mechanism.</p> <p>We distinguish between the “internal” variance, which indicates the magnitude of price discrimination, and the “external” variance, that is a measure of price dispersion. We find that, for some commodities, spatial price dispersion is remarkable and persistent over time (i.e., failure of the <em>LOP</em>) and that there exists a strict correlation between price spikes and peaks in spatial price variability.</p> <p>We test whether the price distribution can be replicated through a <a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/stochastic-process">stochastic process</a> of extraction. Surprisingly, the actual distribution of prices, for several commodities, is well described by a random distribution. Then, the process of data aggregation is not neutral because the information at the micro-level scale might be lost at the macro-scale, due to the complexity of the <em>IFTN</em>. Finally, we discuss some possible economic explanations of these outcomes and the main methodological, environmental, and policy consequences.</p>
Dataset for Male Eurasian jays flexibly alter their food sharing in line with partners' choices
<p>This is the raw data for Exp. 1 and Exp. 2 from "Investigating the flexibility of male Eurasian jays' food-sharing behavior' by Rachel C Crosby, Edward W Legg, Katharina F. Brecht, Michael T Mendl, Ljerka Ostojic and Nicola S. Clayton in a machine-readable format. It was previously pre-printed under the title of "Male Eurasian jays flexibly alter their food sharing in line with partners’ choices".</p> <p> </p>
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>
The seventh macronutrient: how sodium shortfall ramifies through populations, food webs, and ecosystems
<p>Of the 25 elements required to build most organisms, sodium has a unique set of characteristics that ramify through terrestrial ecology. In plants, sodium is found in low concentrations and has little metabolic function; in plant consumers, particularly animals, sodium is essential to running costly Na-K ATPases. Here I synthesize a diverse literature from physiology, agronomy, and ecology, toward identifying sodium's place as the "7th macronutrient", one whose shortfall targets two trophic levels—herbivores and detritivores. I propose that sodium also plays a central, though unheralded role in herbivore digestion, via its importance to maintaining microbiomes and denaturing tannins. I highlight how sodium availability is a key determinant of consumer abundance and the geography of herbivory and detritivory. And I propose a re-appraisal of the assumption that, because sodium is metabolically unimportant to most plants, it is of little use. Instead, I suggest that sodium's critical role in limiting herbivore performance makes it a commodity used by plants to manipulate their herbivores and mutualists, and by consumers like bison and elephants to generate grazing lawns: dependable sources of sodium.</p>
Data from: Altitude difference might contribute to the genetic divergence of giant panda' staple food Bamboo (Fargesia spathacea complex) based on 14 SSR markers
<p>The taxonomy in woody bamboo faces a lot of difficulties due to its long blooming intervals and complicated morphological variation. Whether the current taxonomy would reflect the genuine species divergence within woody bamboo is an intriguing question. <i>Fargesia spathacea</i> complex comprises fifteen closely related species with sympatric distribution in China. Their classification has long been controversy because of only a handful of vegetative traits available, thus providing a good opportunity to explore the evolutionary relationship and genetic differentiation in woody bamboo. Here we presented a study with 750 individuals from 39 representative populations in <i>Fargesia spathacea</i> complex using 14 SSR markers. We found varying degrees of genetic diversity across populations of the <i>Fargesia spathacea</i> complex (<i>He</i>=0.07-0.81) and largely negative <i>F</i> values at the population level, implying an excess of heterozygotes in the populations. Phylogenetic analyses revealed that all populations were divided into two major groups (cluster A and B), with the majority of fifteen species representing distinct genetic lineages. Based on the population genetic analysis along with morphological evidence, we confirmed the identity of three species (<i>F. decurvata</i>, <i>F. spathacea</i> and <i>F. murielae</i>) and suggested invalidation of four other species (<i>scabrida</i>, <i>F. robusta</i>, <i>F. denudata</i> and <i>F. nitida</i>). The delimitation of the rest eight species was yet to be explored. The ecological factor and spatial autocorrelation analysis supported that altitude difference might account for the distinct genetic divergence between two major groups.</p>
Food fraud data based on the European Rapid Alert System for Food and Feed (RASFF)
<p>The data contains information on food fraud and was used to predict food fraud type using a Bayesian Network model. Food fraud notifications for the period 2000-2014 were downloaded from the Rapid Alert System for Food and Feed (RASFF) database. Each record contains detailed information on the kind of notification and the products and countries involved. Based on the description in each notification we added a variable "food fraud type" (i.e. six different types of food fraud). A set of 749 notifications for the years 2000-2013 was used to train a Bayesian Network model to predict food fraud type. This model was validated using the 88 notifications for the year 2014.</p> <p>Interpretation of the data and details on the performance of the BN model can be found in the research article titled “Prediction of food fraud type using data from Rapid Alert System for Food and Feed (RASFF) and Bayesian network modelling” <a href="https://doi.org/10.1016/j.foodcont.2015.09.026">https://doi.org/10.1016/j.foodcont.2015.09.026</a></p> <p> </p> <p> </p> <p><strong>Column names</strong></p> <p>year - year notification was made</p> <p>product - categorization of the different products</p> <p>notification - categorization of the notifications</p> <p>notified - country that made the notification</p> <p>origin - country where the product originated from</p> <p>fraud - classification of fraud type</p>
Datasets for the study "Hydro-economic analysis of infrastructure investment options within the Water-Energy-Food nexus in the Niger River basin"
<p>This is the dataset used in the study "Hydro-economic analysis of infrastructure investment options within the Water-Energy-Food nexus in the Niger River basin". This study has been conducted within the Department of Environmental Engineering at the Technical University of Denmark as a Master Thesis project. </p> <p>The dataset describes the water-energy-food nexus of the Niger River basin used as input to the open source single objective hydro-economic optimization model WHAT-IF. Note that the Energy Module is partly filled, but has not been used in the study (except the hydropower sheet).</p> <p>More information on data organization <a href="https://zenodo.org/record/2646476#.XxqORudS93g">here</a>.</p> <p>The model is documented in this <a href="https://hess.copernicus.org/articles/23/4129/2019/hess-23-4129-2019-discussion.html">publication</a>.</p> <p>The code is available on <a href="https://github.com/RaphaelPB/WHAT-IF">Github</a>.</p>
Data from: Effect of yeast addition on the biogas production performance of a food waste anaerobic digestion system
<p>Food waste contains numerous easily degradable components, and anaerobic digestion is prone to acidification and instability. This work aimed to investigate the effect of adding yeast on biogas production performance, when substrate is added after biogas production is reduced. The results showed that the daily biogas production increased 520 ml and 550 ml by adding 2.0% (VS) of activated yeast on the 12th and 37th day of anaerobic digestion, respectively, and the gas production was relatively stable. In the control group without yeast, the increase of gas production was significantly reduced. After the second addition of substrate and yeast, biogas production only increased 60 ml compared with that before the addition. After fermentation, the biogas production of yeast group also increased by 33.2% compared with the control group. Results of the analysis of indicators, such as volatile organic acids, alkalinity, and propionic acid, showed that the stability of the anaerobic digestion system of the yeast group was higher. Thus, the yeast group is highly likely to recover normal gas production when the biogas production is reduced, and substrate is added. The results provide a reference for experiments on the industrialisation of continuous anaerobic digestion to take tolerable measures when the organic load of the feed fluctuates dramatically.</p>
Forest conversion to oil palm compresses food chain length in tropical streams
<b>Description: </b><p>Fish stable isotope data associated with the paper in Ecology. This includes bulk and compound specific stable isotope raw data for fish at 17 streams over 2 sampling years, across a land use gradient</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/57"><b>Composition and abundance of tropical freshwater vertebrate communities across a land use gradient</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby Foundation (NA, NA)</li><li>Royal Geographic Society (RGS-IBG , PRA 01/16)</li><li>Royal Society (NA, NAF\R2\180791)</li><li>Singapore Ministry of Education (AcRF Tier 1 grant, R-154-000-A32-114)</li><li>Landmark Trust (Landmark Trust Futures Scheme , NA)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3974971">here</a></p><p><b>Files: </b>This consists of 1 file: Fish_SIA_data2.xlsx</p><p><b>Fish_SIA_data2.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>SIA_data</b> (described in worksheet Data)</p><p>Description: raw stable isotope fish data </p><p>Number of fields: 13</p><p>Number of data rows: 202</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling at each stream (Field type: date)</li><li><b>Stream</b>: Which stream was sampled (Field type: location)</li><li><b>Landuse</b>: Landuse of the stream sampled (Field type: categorical)</li><li><b>Species</b>: Species sampled (Field type: taxa)</li><li><b>SIA</b>: Was bulk or compound specific SIA used (Field type: categorical)</li><li><b>d15N_GLU</b>: d15N value of glutamic acid (Field type: numeric)</li><li><b>d15N_PHE</b>: d15N value of phenylalanine (Field type: numeric)</li><li><b>d13C_ILE</b>: d13C value of Isoleucine (Field type: numeric)</li><li><b>d13C_LEU</b>: d13C value of Leucine (Field type: numeric)</li><li><b>d13C_PHE</b>: d13C value of phenylalanine (Field type: numeric)</li><li><b>d13C_VAL</b>: d13C value of Valine (Field type: numeric)</li><li><b>D15N</b>: D15N (Field type: numeric)</li><li><b>D13C</b>: D13C (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-03-01 to 2017-05-30</p><p><b>Latitudinal extent: </b>4.5770 to 4.9613</p><p><b>Longitudinal extent: </b>117.4441 to 117.8053</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Actinopterygii <br> -  -  -  -  Cypriniformes <br> -  -  -  -  -  Cyprinidae <br> -  -  -  -  -  -  <i>Luciosoma</i> <br> -  -  -  -  -  -  -  <i>Luciosoma pelligrinii</i> <br> -  -  -  -  -  -  <i>Rasbora</i> <br> -  -  -  -  -  -  -  <i>Rasbora pycnopeza</i> <br> -  -  -  -  -  -  <i>Nematabramis</i> <br> -  -  -  -  -  -  -  <i>Nematabramis everetti</i> <br> -  -  -  -  -  -  <i>Hampala</i> <br> -  -  -  -  -  -  -  <i>Hampala sabana</i> <br> -  -  -  -  -  -  <i>Puntius</i> <br> -  -  -  -  -  -  -  <i>Puntius sealei</i> (as synonym: <i>Barbodes sealei</i>)<br> -  -  -  -  Siluriformes <br> -  -  -  -  -  Clariidae <br> -  -  -  -  -  -  <i>Clarias</i> <br> -  -  -  -  -  -  -  <i>Clarias anfractus</i> <br> -  -  -  -  -  Bagridae <br> -  -  -  -  -  -  <i>Hemibagrus</i> <br> -  -  -  -  -  -  -  <i>Hemibagrus baramensis</i> <br> -  -  -  -  Perciformes <br> -  -  -  -  -  Channidae <br> -  -  -  -  -  -  <i>Channa</i> <br> -  -  -  -  -  -  -  <i>Channa striata</i> <br></div><p></p>
Agricultural intensification heightens food safety risks posed by wild birds
<p>1. Agricultural intensification and simplification are key drivers of recent declines in wild bird populations, heightening the need to better balance conservation with food production. This is hindered, however, by perceptions that birds threaten food safety. While birds are known reservoirs of foodborne pathogens, there remains uncertainty about the links between landscape context, farming practices, and actual crop contamination by birds.</p> <p>2. Here, we examine relationships between landscape context, farming practices, and pathogen contamination by birds using a barrier-to-spillover approach. First, we censused bird communities using point count surveys. Second, we collected 2024 faecal samples from captured birds alongside 1215 faecal samples from brassica fields and food processing areas across 50 farms spanning the USA West Coast. We then estimated the prevalence of three foodborne pathogens across landscape and livestock intensification gradients. Finally, we quantified the number of plants with faeces.</p> <p>3. <i>Campylobacter </i>spp. were detected in 10.2% of faeces from captured birds and 13.1% of faeces from production areas. Nonnative birds were 4.1 times more likely to have <i>Campylobacter </i>spp. than native birds. <i>Salmonella </i>spp. were detected in 0.2% of faeces from production areas and were never detected in captured birds. We detected evidence of Shiga toxigenic <i>E. coli </i>in 1 sample across the >3200 tested.</p> <p>4. <i>Campylobacter</i> spp. prevalence in faeces from production areas increased with increasing mammalian livestock densities in the landscape but decreased with increasing amounts of natural habitat.</p> <p>5. We encountered bird faeces on 3.3% of plants examined. Despite the impact on pathogen prevalence, landscape context did not increase the number of plants with bird faeces, although on-farm mammalian livestock density slightly did.</p> <p>6. <i>Synthesis and applications. </i>Food safety and wildlife conservation are often thought to be in conflict. However, our findings suggest that natural habitat around farms may reduce crop contamination rates by birds. This is perhaps because natural habitat can promote native birds that are less likely to harbour foodborne pathogens or because it decreases contact with livestock waste. Our results suggest that preservation of natural habitats around farms could benefit both conservation and food safety, contrary to current standards for "best practices."</p>
Mere presence of co-eater automatically shifts foraging tactics toward "fast and easy" food in humans
Competition for food resources is widespread in nature. The foraging behavior of social animals should thus be adapted to potential food competition. We hypothesized that in the presence of co-foragers, animals would shift their tactics to forage more frequently for smaller food. Because smaller foods are more abundant in nature and allow faster consumption, such tactics should allow animals to consume food more securely against scrounging. We tested whether humans would exhibit such a shift. To prevent subjects from having rivalry, they were instructed to engage in a "taste test" in a laboratory, alone or in pairs. Even though the other subject was merely present and there was no real competition for food, subjects in pairs immediately exhibited a systematic behavioral shift to reaching for smaller food amounts more frequently, which was clearly distinct from their reaching patterns both when eating alone and when simply weighing the same food without eating any. These patterns suggest that behavioral shifts in the presence of others may be built-in tactics in gregarious animals to adapt to potential food competition in social foraging.
Data supporting Food web complexity weakens size-based constraints on the pyramids of life
<p>Marine ecosystems are generally expected to have bottom-heavy trophic structure (more plants than animals) due to size-based constraints arising from increased metabolic requirements and inefficient energy transfer. However, size-based (allometric) approaches are often limited to confined trophic level windows where energy transfer is predicted by size alone, and are constrained to bottom-up control at steady state. In real food webs, energy flow is more complex and top-down processes can also shape trophic structure. We expand size-based theory to account for complex food webs, and show that moderate levels of food web connectance allow for inverted trophic structure more often than predicted, especially in marine ecosystems. Trophic structure inversion occurs due to incorporation of complex energy pathways and top-down effects on ecosystems. Our results suggest that marine ecosystems should be top-heavy, and observed bottom-heavy trophic structure may be a result of human defaunation of the ocean that has been more extreme than presently recognized.</p>
Isotope analyses of amino acids in fungi and fungal feeding Diptera larvae allow differentiating ectomycorrhizal and saprotrophic fungi-based food chains
1- Both ectomycorrhizal (ECM) and saprotrophic fungi are fundamental to carbon and nutrient dynamics in forest ecosystems; however, the relative importance of these different fungal functional groups for higher trophic levels of the soil food web is virtually unknown. 2- To explore differences between fungal functional groups and their importance for higher trophic levels, we analysed isotopic composition of nitrogen and carbon in amino acids (AAs) and bulk tissue of leaf litter, fungi, and fungal-feeding Diptera larvae. 3- By accounting for isotopic variability of utilized substrates, compound-specific isotope analyses of nitrogen in AAs yielded more realistic results for the trophic position of fungi than bulk isotope analyses, with converging trophic positions of saprotrophic and ECM fungi. 4- Saprotrophic and ECM fungi possessed different AA δ<sup>13</sup>C signatures separating fungal functional groups and their consumers in fingerprinting approaches, thereby allowing to trace energy fluxes from these basal resources to higher trophic levels. 5- A pronounced isotopic fractionation even in essential/source AAs of fungal-feeding Diptera larvae necessitates further studies on tissue-/compound-specific isotopic differences in fungi and on potential supplementation by gut microorganisms. 6- The results highlight the potential of compound-specific isotope analysis of amino acids to identify and integrate contributions of different fungal functional groups to higher trophic levels in soil food webs.
Hunters versus Hunted: New perspectives on the physiological costs of survival at the top of the food chain
<ol> <li>Global biotic and abiotic threats,<a name="_Hlk41730390">particularly from pervasive human activities</a>, are progressively pushing large, apex carnivorous mammals into the functional role of mesopredator. Hunters are now becoming the hunted. Despite marked impacts on these animals and the ecosystems in which they live, little is known about the physiological repercussions of this role downgrading from ultimate to penultimate predator.</li> <li>Here we examine how such ecological role reversals alter the physiological processes associated with energy expenditure, and ultimately the cost of survival during peak performance.</li> <li>Taxonomic group, preferred habitat, and domestication affected the capacity of the oxygen pathway to support high levels of aerobic performance by carnivorous mammals. Fear responses associated with anthropogenic threats also impacted aerobic capacity. </li> <li>Allometric trends for three energetic metrics (maximum oxygen consumption, field metabolic rates, and the cost per stride or step), showed distinct trends in aerobic capacity for different evolutionary lineages of mammalian predators. Cursorial canids that chase down prey demonstrated the highest relative maximum oxygen consumption rates (10-25 times resting levels) and field metabolic rates, while ambush predators (i.e., felids) and marine mammals had aerobic capacities that were similar to or lower than sedentary domestic mammals of comparable size.</li> <li>The maximum energetic cost of performance for apex predators depended on whether the animals were hunters or the hunted. Escape responses were exceptionally costly for marine (narwhal, <i>Monodon monoceros</i>) and terrestrial (mountain lion, <i>Puma concolor) </i>locomotor specialists, as well as semi-aquatic (polar bear, <i>Ursus maritimus</i>) species; all showed a nearly two-fold increase in peak energy expenditure when avoiding threats.</li> <li>As the duration and frequency of threats to wild species continue to grow, cumulative energetic costs are becoming more apparent. In view of this, attention to the energy demands of apex predators will provide vital predictive power to anticipate mismatches between a species functional design and human-induced pressures, and allow for the development of conservation strategies based on how species are built to survive.</li> </ol>
Data from: Feeding environment and other traits shape species' roles in marine food webs
Food webs and meso-scale motifs allow us to understand the structure of ecological communities and define species' roles within them. This species-level perspective on networks permits tests for relationships between species' traits and their patterns of direct and indirect interactions. Such relationships could allow us to predict food-web structure based on more easily-obtained trait information. Here we calculated the roles of species (as vectors of motif position frequencies) in six well-resolved marine food webs and identified the motif positions associated with the greatest variation in species' roles. We then tested whether the frequencies of these positions varied with species' traits. Despite the coarse-grained traits we used, our approach identified several strong associations between traits and motifs. Feeding environment was a key trait in our models and may shape species' roles by affecting encounter probabilities. Incorporating environment into future food web models may improve predictions of an unknown network structure.
Food Chain pilot raw data - Farm, Transportation, Warehouse
<p>Daily GDD (Growing Degree-day) data collected by a weather station involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Handover, temperature, presence data collected in a transportation vehicle (farm to warehouse, warehouse to supermarket) involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p> <p>Temperature, humidity data collected in a warehouse involved in Food Chain Pilot in SOFIE EU project (GA n.779984).</p>
Eco‐evolutionary dynamics driven by fishing: from single species models to dynamic evolution within complex food webs
<p>Evidence of contemporary evolution across ecological time scales stimulated research on the eco-evolutionary dynamics of natural populations. Aquatic systems provide a good setting to study eco-evolutionary dynamics owing to a wealth of long-term monitoring data and the detected trends in fish life-history traits across intensively harvested marine and freshwater systems. In the present study, we focus on modelling approaches to simulate eco-evolutionary dynamics of fishes and their ecosystems. Firstly, we review the development of modelling from single-species to multispecies approaches. Secondly, we advance the current state-of-the-art methodology by implementing evolution of life-history traits of a top predator into the context of complex food web dynamics as described by the allometric trophic network (ATN) framework. The functioning of our newly developed eco-evolutionary ATNE framework is illustrated using a well-studied lake food web. Our simulations show how both natural selection arising from feeding interactions and size-selective fishing cause evolutionary changes in the top predator and how those feed back to its prey species and further cascade down to lower trophic levels. Finally, we discuss future directions, particularly the need to integrate genomic discoveries into eco-evolutionary projections.</p>
ScienceDex guides
Understand access before you commit
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)
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.