Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,510
datasets available to search
ShareScore release 0.9.0
Dataset results
5,510 results for “Foods”
Animated video presenting the advancements from AI4DI Supply Chain for Food and Beverage industries
<p>This animated video presents the dvancements from AI4DI Supply Chain for Food and Beverage industries.</p>
Data for "The neglected role of abandoned cropland in supporting both food security and climate change mitigation"
<p><strong>Data for "The neglected role of abandoned cropland in supporting both food security and climate change mitigation"</strong></p> <p><strong>All files will be made publicly accessible before publication.</strong></p> <p>Version: 2.0 (Round 2 revision)</p> <p>Content (spatial resolution, data info)</p> <ol> <li>Abandoned cropland map (10arcsec, 1 raster file)</li> <li>Suitabability of abanonded cropland for reforestation and recultivation (5arcmin, 3 raster files)</li> <li>Food production potential of global abandoned cropland (5arcmin,1 raster file)</li> <li>Climate change mitigation potential of global abandoned cropland (5arcmin, 1 raster file)</li> <li>outcomes of key scenarios <ul> <li>4 key Scenarios: Maximizing food production, Maximizing climate change mitigation, Equal Allocation, Maximizing combined potential</li> <li>Data included in the output of each scenario: <ul> <li>Land allocated for reforestation and recultivation (5arcmin/1arcdeg, 5 raster files)</li> <li>Climate change mitigation potential and food production potential (5arcmin/1arcdeg, 5 raster files)</li> <li>Emission for land clearing (5arcmin, 1 raster)</li> <li>Foregone climate change mitigation potential (5arcmin, 1 raster)</li> <li>Summary table</li> </ul> </li> <li>Summary table for 4 key scenarios</li> </ul> </li> <li>Codes for generating 4 key scenarios</li> </ol>
Data from: Rainforest conversion to plantations fundamentally alters energy fluxes and functions in canopy arthropod food webs
<p><span>Tropical rainforests around the world are rapidly being converted into cash-crop agricultural systems. The associated massive losses of plant and animal species lead to changes in arthropod food webs and the energy fluxes therein. These changes are poorly understood, in particular in the extremely biodiverse canopies of tropical ecosystems. Using canopy fogging followed by stable isotope and energy flux analyses, we show that land-use conversion from rainforest to rubber and oil palm plantations not only causes a drastic reduction in energy fluxes of up to 75% but also shifts fluxes among trophic groups. While rainforests featured high levels of both herbivory and algae-microbiology, and a balanced ratio of herbivory to predation, relative fluxes were shifted towards predation in rubber and towards herbivory in oil palm plantations, indicating profound shifts in ecosystem functioning. Our results highlight that the ongoing loss of animal biodiversity and biomass in tropical canopies degrades animal-driven functions and restructures canopy food webs.</span></p>
Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?
<p>Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners.</p> <p>Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. </p> <p>Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22),<a href="http://headconf.org/"> </a><a href="http://headconf.org/">HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org)</a> and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN) </p>
Can regime shifts in reproduction be explained by changing climate and food availability?
<p><span>Marine populations often show considerable variation in their productivity, including regime shifts. Of special interest are prolonged shifts to low recruitment and low abundance which occur in many fish populations despite reductions in fishing pressure. One of the possible causes for the lack of recovery has been suggested to be the Allee effect (depensation). Nonetheless, both regime shifts and the Allee effect are empirically emerging patterns but provide no explanation about the underlying mechanisms. Environmental forcing, on the other hand, is known to induce population fluctuations and </span><span>has also been suggested as one of the primary challenges for recovery.</span> <span>Yet, traditional stock-recruitment models used in fisheries management have been time-invariant and considered only density-dependence. </span><span>In the present study, we build upon recently developed Bayesian change-point models to explore the contribution of food and climate as external drivers in recruitment regime shifts, while accounting for density-dependent mechanisms (compensation and depensation). Food availability is approximated by the copepod community. Temperature is included as a climatic driver. Three demersal fish populations in the Irish Sea are studied: Atlantic cod (<em>Gadus morhua</em>), whiting (<em>Merlangius merlangus</em>), and common sole (<em>Solea solea</em>). </span><span>We demonstrate that while spawning stock biomass undoubtedly impacts recruitment, abiotic and biotic drivers can have substantial additional impacts, which can explain regime shifts in recruitment dynamics or low recruitment at low population abundances. Our results stress the fact that traditional abundance-based stock-recruitment models are not sufficient to capture variability in fish recruitment. </span></p>
Data and code for "Turning tables: food availability shapes dynamic aggressive behaviour among asynchronously hatching siblings in red kites Milvus milvus"
<p><strong>Abstract</strong></p> <p>Aggression represents the backbone of dominance acquisition in several animal societies, where the decision to interact is dictated by its relative cost. Among siblings, such costs are weighted in the light of inclusive fitness, but how this translates to aggression patterns in response to changing external and internal conditions remains unclear. Using a null-model-based approach, we investigate how day-to-day changes in food provisioning affect aggression networks and food allocation in growing red kite (<em>Milvus milvus</em>) nestlings, whose dominance rank is largely dictated by age. We show that older siblings, irrespective of age, change from targeting only close-aged peers (close-competitor pattern) when food provisioning is low, to uniformly attacking all other peers (downward heuristic pattern) as food conditions improve. While food allocation was generally skewed towards the older siblings, the youngest sibling in the nest increased its probability of accessing food as more was provisioned and as downward heuristic patterns became more prominent, suggesting that different aggression patterns allow for catch-up growth after periods of low food. Our results indicate that dynamic aggression patterns within the nest modulate environmental effects on juvenile development by influencing the process of dominance acquisition and potentially impacting the fledging body condition, with far-reaching fitness consequences.</p>
CROVER model output data for paper "Future Warming Decreases the Benefits of Irrigation in Global Food Production"
<p>This data is output data simulated by the CROVER crop-river coupled model for the scientific paper entitled: “Future Warming Decreases the Benefits of Irrigation in Global Food Production”. Simulations are based on 120-year simulations (1981-2100) using 20 climate projections (four Representative Concentration Pathways (RCPs) (2.6, 4.5, 6.0, and 8.5) × five General Circulation Models (GCMs) (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M)). The dataset includes crop yield of the modeled five crops (maize, rice, soybean, spring wheat, and winter wheat) each for irrigated and rainfed with a spatial resolution of 1.125 degree.</p> <p>The file name consists of a series of identifiers, separated by underscore, according to the following pattern.</p> <p>crover_<gcm>_<rcp>_yield_<crop>_<irrigated|rainfed>.grd</p> <p>crover_<gcm>_<rcp>_yield_<crop>_<irrigated|rainfed>.ctl</p> <p>Format: grads binary (global, 1.125 degree)</p> <p>These files were compressed as a zip file for each GCM and RCP.</p> <p> </p>
Overlapping representations of food and social stimuli in VTA dopamine neurons
<p>2-photon imaging and behavioral data accompanying publication of "Overlapping representations of food and social stimuli in VTA dopamine neurons" (Lindsay Willmore, Adelaide Minerva, Ben Engelhard, Brenna McMannon, Nirja Oak, Stephan Thiberge, Malavika Murugan, Catherine Jensen Pena, Ilana Witten). This dataset contains all information required to recreate figures from the paper. </p>
Evolving to stay the same: Life history evolution and trade-offs in response to high and low total food
<p>Food drives ecology and evolution, but few studies have directly investigated the impacts of the total amount of food on life history evolution within-species. Among the limited number of available case studies that do directly test total food effects on life history evolution we still lack consensus, partially owing to incompletely described life histories. We explored life history trade-offs across the whole lifecycle, and the consequences for trait and population dynamics, in a marine copepod evolved under high and low total food using an integral projection model (IPM). Populations were subjected to high- and low-food regimes and a common garden experiment after 30 generations of evolution. We then sampled and measured individual vital rates (growth, reproduction, and survival) from hatching until death, which were used to parameterise IPMs. Food regime had a significant but slight effect on life histories, which appeared 'slow' and 'fast' in low-food and high-food lineages respectively. Low-food lineages grew bigger and produced larger offspring to genetically compensate for their environment, but this compensation came with costs; notably shorter lifespans and less chance of producing clutches of eggs. Despite these differences, population ecology and fitness were similar in high- and low-food lineages as anticipated by per-capita rather than total food effects. Consequently, though natural planktonic populations may genetically mitigate the effects of climate-induced food scarcity, there are limits to this compensation and likely unforeseen impacts effects for wider food webs.</p>
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless. in Comparison of trophic spectra and hunting strategies of some large arachnids (Arachnida: Scorpiones, Solifugae, Aranei) in semi-desert biocenoses of Gobustan (Eastern Azerbaijan)
Рис. 1. ПреΔпочтитеΛьное отношение паукообразных (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) к объектам питания по способу переΔвижения жертвы: I – Λетающие; II – прыгающие; III – бегающие; IV – хоΔящие; V – поΛзающие; VI – маΛопоΔвижные; VII – непоΔвижные. Fig. 1. Preferred attitude of arachnids (1 – Galeodes araneoides, 2 – Lycosa praegrandis, 3 – Mesobuthus eupeus) to food objects by the method of movement of pray: I – flying; II – jumping; III – running; IV – walking; V – crawling; VI – sluggish; VII – motionless.
Changes in vertical and horizontal diversities mediated by the size structure of introduced fish collectively shape food-web stability
<p><span>Species introductions can alter local food-web structure by changing the vertical or horizontal diversity within communities, largely driven by their body size distributions. Increasing vertical and horizontal diversities is predicted to have opposing effects on stability. However, their interactive effects remain largely overlooked. We investigated the independent and collective effects of vertical and horizontal diversities on food-web stability</span><span> in alpine lakes stocked with variable body size distributions of introduced fish species. I</span><span>ntroduced predators destabilize food-webs by </span><span>increasing vertical diversity through food chain lengthening</span><span>. Alternatively, increasing horizontal diversity results in more </span><span>stable food-web topologies. A non-linear interaction between vertical and horizontal diversities </span>suggests that increasing vertical diversity is most destabilizing when horizontal diversity is low<span>.</span> <span>Our findings suggest </span>that the size structure of introduced predators drives their impacts on stability by modifying the structure of food-webs, and highlights the <span>interactive effects of vertical and horizontal diversities on stability.</span></p>
Life cycle inventory database for consumption in Québec – Food consumption
<p>These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec.</p> <p>Led by the CIRAIG, in collaboration with PolyCarbone and ESG-UQAM, this project aims to develop an inventory database of the life cycle of consumption in Quebec. These inventory datasets are essential for calculating the carbon footprint of an individual’s consumption in Quebec. The inventory is developed with a life cycle approach. Ultimately, it allows for evaluating carbon footprints at every step of the consumption life cycle (extraction of primary sources, transformation, transport, use of goods and services, end of life). The inventory is developed in a modular fashion for the different areas of individual consumption as Food; Transport; Housing; Clothing; Travel; Communications; Entertainment and Culture; Financial and Administrative Management; Health, Hygiene, and Beauty. These areas are developed and detailed as a priority, as they contribute most to an individual’s carbon footprint in Quebec. Other non-priority areas are roughly modelled in order to provide a complete (but more uncertain) portrait of individual consumption. The project is underway and the deliverables will be made available online as things progress. It is not, however, an objective of the project to create a carbon footprint calculation tool at the moment.</p> <p>https://ciraig.org/index.php/project/life-cycle-inventory-database-for-consumption-in-quebec/</p> <p> </p>
Impressions from the Field Research on the Potential Role of Digitalization in Curbing Food Waste and Loss (FWL)
<p>This is a dynamic, short video highlighting the PRODIGEES research secondment of Dr. Ariel Macaspac Hernandez. Dr. Hernandez seconded to Fundação Getúlio Vargas (FGV) in Rio de Janeiro, Brazil. The exchange lasted one month, but left Dr. Hernandez with enough time to deeply explore the potential role of digitalization in curbing food waste and loss (FWL) in multiple regions of Brazil.</p>
Data from: Topography of inputs into the hippocampal formation of a food-caching bird
<p>The mammalian hippocampal formation (HF) is organized into domains associated with different functions. These differences are driven in part by the pattern of input along the hippocampal long axis, such as visual input to the septal hippocampus and amygdalar input to temporal hippocampus. HF is also organized along the transverse axis, with different patterns of neural activity in the hippocampus and the entorhinal cortex. In some birds, a similar organization has been observed along both of these axes. However, it is not known what role inputs play in this organization. We used retrograde tracing to map inputs into HF of a food-caching bird, the black-capped chickadee. We first compared two locations along the transverse axis: the hippocampus and the dorsolateral hippocampal area (DL), which is analogous to the entorhinal cortex. We found that pallial regions predominantly targeted DL, while some subcortical regions like the lateral hypothalamus (LHy) preferentially targeted the hippocampus. We then examined the hippocampal long axis and found that almost all inputs were topographic along this direction. For example, the anterior hippocampus was preferentially innervated by thalamic regions, while posterior hippocampus received more amygdalar input. Some of the topographies we found bear resemblance to those described in the mammalian brain, revealing a remarkable anatomical similarity of phylogenetically distant animals. More generally, our work establishes the pattern of inputs to HF in chickadees. Some of these patterns may be unique to chickadees, laying the groundwork for studying the anatomical basis of these birds' exceptional hippocampal memory.</p>
Dataset for "Demystifying food systems transformation: a review of the state of the field"
<p>Datasets offer the raw and analysed data used for the review article: "Demystifying food systems transformation: a review of the state of the field". This file contains the three main databases used and variations on the literature data filtering. Dataset 3 includes a breakdown of the analysis criteria adopted and reported on.</p>
Verzehrsstudie zur Ermittlung der Lebensmittelaufnahme von Säuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln (VELS) [Consumption study to determine the food intake of infants and young children for the estimation of an acute toxicity risk through residues of plant protection products]
<p>The VELS study (<strong>V</strong>erzehrsstudie zur <strong>E</strong>rmittlung der Lebensmittelaufnahme von <strong>S</strong>äuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln; VELS) was conducted in 2001/2002. Data were collected from 804 infants, toddlers and children (age group 0.5 to <5 years) in Germany. The food consumed was recorded by the parents as "food as eaten" over a total of 6 days (2x3-day food record with an interval of 3-6 months for toddlers and 4-8 weeks for infants). Anthropometric data are also included.</p> <p>Foods are coded according to the German food coding system (BLS; Bundeslebensmittelschlüssel) and food names and additional information is available in German only.</p> <p>Dataset owner: German Federal Institute for Risk Assessment (BfR)</p> <p>Data collection was carried out by the University of Paderborn on behalf of the Federal Ministry of Food and Agriculture [Bundesministerium für Ernährung und Landwirtschaft; BMEL] – formerly Federal Ministry for Food, Agriculture and Consumer Protection [Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft; BMVEL]</p>
Food quantity and the intensity of the alarm signal combine to modulate the resource selection in a termite species
<p>Maximizing food intake while minimizing risk is an important trade-off in the foraging behavior of most animals. In general, foragers are vulnerable and the ability to trade off benefits (food quantity) against costs (risk of being killed) may provide a considerable ecological advantage. Despite the increasing number of studies, the effects of food quantity and mortality risk signals on resource selection in eusocial insect is not well understood. Here, we investigated the combination of distinct levels of food quantity and the intensity of alarm signal on resource selection of a Neotropical termite, <em>Nasutitermes</em> <em>corniger</em> (Motschulsky) (Termitidae: Nasutitermitinae). Manipulative bioassays with binary and multiple choices were conducted over time to check the recruitment of termite groups among resources containing different levels of food quantity and alarm signals. Overall, our results showed that regardless of food quantity, termites avoid a food source if there is even a small amount of alarm signal. This work contributes to a better understanding of habitat use by termite species. Furthermore, it shows for the first time the combined effects of food quantity and alarm signals on the resource selection of an important ecological and economic termite species. </p>
Fast-food consumption by adolescent girls may sow the seeds of breast cancer decades later
<p>An hypothesis of breast cancer development:</p> <p>•Breast development occurs largely during the years of puberty in adolescent girls</p> <p>•Environmental assaults during that vulnerable time window can seed changes that take decades to complete</p> <p>•Advanced glycation end-products (AGE) are found in high concentrations in processed foods, especially fast-food</p> <p>•In mice, AGE produce pubertal breast changes in both epithelium and stroma, including atypical hyperplasia</p> <p>•The stromal changes in humans may be manifest as increased breast density as measured by mammography</p> <p>•These data provide a link between processed, fast-food, high breast density, and future breast cancer</p> <p>•Breast cancer prevention may include the avoidance of fast-food, especially in adolescent girls undergoing pubertal breast development</p>
Pattern of seasonal variation in rates of predation between spider families is temporally stable in a food web with widespread intraguild predation
<p>Intraguild predation (IGP) – predation between generalist predators (IGPredator and IGPrey) that potentially compete for a shared prey resource – is a common interaction module in terrestrial food webs. Understanding temporal variation in webs with widespread IGP is relevant to testing food web theory. We investigated temporal constancy in the structure of such a system: the spider-focused food web of the forest floor. Multiplex PCR was used to detect prey DNA in 3,300 adult spiders collected from the floor of a deciduous forest during spring, summer, and fall over four years. Because only spiders were defined as consumers, the web was tripartite, with 11 consumer nodes (spider families) and 22 resource nodes: 11 non-spider arthropod taxa (order- or family-level) and the 11 spider families. Most (99%) spider-spider predation was on spider IGPrey, and ~90% of these interactions were restricted to spider families within the same broadly defined foraging mode (cursorial or web-spinning spiders). Bootstrapped-derived confidence intervals (BCI's) for two indices of web structure, restricted connectance and interaction evenness, overlapped broadly across years and seasons. A third index, % IGPrey (% IGPrey among all prey of spiders), was similar across years (~50%) but varied seasonally, with a summer rate (65%) ~1.8x higher than spring and fall. This seasonal pattern was consistent across years. Our results suggest that extensive spider predation on spider IGPrey that exhibits consistent seasonal variation in frequency, and that occurs primarily within two broadly defined spider-spider interaction pathways, must be incorporated into models of the dynamics of forest-floor food webs. </p>
NutriGreen Image Dataset: A Collection of Annotated Nutrition, Organic, and Vegan Food Products
<p>The generated dataset is an annotated collection, with each image carrying labels (NutriScore, V-label and Bio). The presence of annotated data is essential for developing a supervised machine-learning model capable of automatically identifying labels in new images. In our case, we utilize this data to train a model that can autonomously recognize labels on new images not present in the dataset, achieving a model accuracy of 94%. In the future, you have the option to train a new model using the dataset to achieve higher accuracy or employ the existing model to automatically identify bio and nutri labels in newly collected images, eliminating the need for manual review. We should emphasize that these resources should be utilized by a data science team. There is an opportunity for this model to be integrated with a mobile app, but this is a direction for future work, we included in the revised version.</p> <p>In this research, we introduce the NutriGreen dataset, which is a collection of images representing packaged food products. Each image in the dataset comes with three distinct labels: one indicating its nutritional value using the Nutri-Score, another denoting whether it's vegan or vegetarian with the V-label, and a third displaying the EU organic certification (BIO) logo. The dataset comprises a total of 10,472 images. Among these, the Nutri-Score label is distributed across five sub-labels: A with 1,250 images, B with 1,107 images, C with 867 images, D with 1,001 images, and E with 967 images. Additionally, there are 870 images featuring the V-Label, 2,328 images showcasing the BIO label, and 3201 images with no labels. Furthermore, we have fine-tuned the YOLOv5 model to demonstrate the practicality of using these annotated datasets, achieving an impressive accuracy of 94.0%. These promising results indicate that this dataset has significant potential for training innovative systems capable of detecting food labels. Moreover, it can serve as a valuable benchmark dataset for emerging computer vision systems.</p> <p> </p> <p> </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.