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4,014 results for “nutrition”
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>
Short Bowel Syndrome Research Study for Children Up To 17 Years of Age on Parenteral Nutrition
ClinicalTrials.gov study NCT02682381. IPD Sharing: YES. Countries: 7. Publications: 1.
Oral Amino Acid Nutrition to Improve Glucose Excursions in PCOS
ClinicalTrials.gov study NCT03717935. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: How do host age and nutrition affect density regulation of obligate versus facultative bacterial symbionts? Insights from the tsetse fly
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Data from: Linking land use and the nutritional ecology of herbivores: a case study with the Senegalese locust
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Data from: Nutrigonometry I: using right-angle triangles to quantify nutritional trade-offs in performance landscapes
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More than mesolectic: Characterizing the nutritional niche of Osmia cornifrons
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Infection-nutrition feedbacks: fat supports pathogen clearance but pathogens reduce fat in a wild mammal
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Reciprocal nutritional provisioning between leafcutter ants and their fungal cultivar mediates performance of symbiotic farming systems
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Larval nutrition impacts survival to adulthood, body size, and the allometric scaling of metabolic rate in adult honeybees
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Nutritional constraints on brain evolution: sodium and nitrogen limit brain size
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Data from: The biogeochemical boomerang: Site fidelity creates nutritional hotspots that may promote recurrent calving site reuse
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Aquatic biodiversity enhances multiple nutritional benefits to humans
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Data and coding files for: Within population plastic responses to combined thermal-nutritional stress differ from those in response to single stressors, and are genetically independent across traits in both males and females
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Sampling a pika’s pantry: Temporal shifts in nutritional quality & over-winter preservation of American pika food caches
Climate change is increasing temperature, decreasing precipitation, and increasing atmospheric CO2 concentrations in many ecosystems. As atmospheric carbon rises, plants may increase carbon-based defenses such as phenolics, thereby potentially affecting food quality, foraging habits, and habitat suitability for mammalian herbivores. In alpine habitats, the American pika (Ochotona princeps) is a model species for studying effects of changing plant chemistry on mammals. To survive between growing seasons, pikas cache “haypiles” of plants rich in phenolics. Although they are acutely toxic to pikas, phenolic compounds help plants retain biomass and nutrition during storage, and they break down over time. Alpine avens (Geum rossii, Rosales: Rosaceae) is a high-phenolic plant species that comprises up to 75% of pika winter diet in Colorado. Here, we tested the hypothesis that contemporary climate change has affected the nutritional value of Alpine avens to pikas in the last 30 years. Specifically, we compared phenolic activity, nutritional quality, and overwinter preservation of plants collected at Niwot Ridge, Colorado (USA) in 1992 to those collected between 2010 – 2018, spanning nearly three decades of climate change. Phenolic activity increased in alpine avens since 1992, while fiber and nitrogen content decreased. Importantly, overwinter preservation of plant biomass also increased, particularly on windblown slopes without long-lasting snow cover. Previous studies indicate that pikas at this site still depend on alpine avens in their winter food caches. Increasing phenolic content in alpine avens could therefore enhance the preservation of haypiles over winter; however, if pikas must further delay consuming these plants to avoid acute toxicity, then he nutritional gains from enhanced preservation may not be beneficial. This study provides important insights into how changing plant chemistry will affect mammalian herbivores in the future.
Foliar and sapwood nutritional and metabolic responses to Ca-treatment at the Hubbard Brook Experimental Forest, 2000 – 2015
Background Acidic deposition has caused a depletion of calcium (Ca) in the northeastern forest soils. One time application of wollastonite (CaSiO3 - 1.2 Mg ha-1 of Ca) was done at watershed 1 (WS1) of the Hubbard Brook Experimental Forest (HBEF) in 1999 to evaluate its effects on various functions of the HBEF ecosystem. This rate of application was intended to increase the existing base saturation of the soil from 10% to approximately 19%, and to increase the soil pH to the level that was estimated to exist ~50 years prior to treatment. More details on the treatment can be found at http://www.hubbardbrook.org/research/longterm/calcium/w1_overview/index.html. The overall objective of this study was to evaluate changes in foliar and sapwood metabolic parameters and microbial diversity as indicators of stress and overall health in trees exposed to Ca-supplementation. Raw data from Ca-treated WS1 are compared with WS3 (reference watershed) for cellular metabolites, exchangeable foliar chemistry (not totals) 2000-2015. These watersheds are in close proximity (less than 1.5 Km apart) with similar geology, temperature, soils, and overall climate. For more details see a list of references given below Ca-Supplementation-Metabolic Study (WS1 & along eastern edge of WS3) SUMMARY: The effects of Ca addition on foliar soluble (extractable in 5% HClO4) ions, chlorophyll, polyamines, and amino acids were studied in three hardwood species, namely sugar maple, yellow birch, and American beech. We further analyzed these effects in relation to elevation at Ca-supplemented WS1 and reference WS3 watersheds. During the earlier years foliar soluble Ca increased significantly in all species at mid and high elevations at Ca-supplemented WS1. This was accompanied by increases in soluble P, chlorophyll, and two amino acids, glutamate and glycine. A decrease in known metabolic indicators of physiological stress (i.e. the amino acids, arginine and γ-aminobutyric acid (GABA), and the diamine, pu
Differential impacts of calcium and aluminum treatments on foliar and sapwood nutrition and metabolism of sugar maple trees growing at the west edge of WS6 of the Hubbard Brook Experimental Forest from 1997-2009.
Plot levels Ca and Al additions study at WS6 BACKGROUD: To better evaluate the interaction of Ca depletion and Al mobilization on a northern hardwood forest, the Nutrient Perturbation (NuPert) study was initiated in 1995, west of the biogeochemical reference watershed (W6) at the HBEF (43.95411°N, 71.74779°W). The study area is on a south-facing slope, with an elevational range of 700–760 m, and most soils are classified as either Aquic Haplorthods or Aquic Haplumbredts (Halman et al. 22015 and references therein). Twelve sugar maple (Acer saccharum Marshall) dominated plots (45 m × 45 m) were randomly assigned to one of three treatments (Ca addition, Al addition, or control (no addition)), yielding four replicates of each treatment in the study. In addition to sugar maple, American beech (Fagus grandifolia Ehrh.) and yellow birch (Betula alleghaniensis Britt.) are co-occurring tree species in these plots, whereas hobblebush (Viburnum lantanoides Michx.) and striped maple (Acer pensylvanicum L.) dominate the understory. Treatments began in 1995 with annual CaCl2 (2.5 g·m−2) and AlCl3 (0.9 g·m−2) applications occurring each fall or spring during leafless periods. The use of CaCl2 was halted in 1999 in favor of a one-time application (38 g·m−2) of wollastonite (CaSiO3, a slow-release form of Ca). Thereafter, AlCl3 additions occurred in alternate years in fall or spring. Foliage was collected from sunlit branches in the upper to mid canopy dominant sugar maple trees. Five trees per plot of each group were selected for sampling in August 2008. There was an ice storm in 1998 at this site which might have interfered with this study findings. In 2009, tiny sapwood plugs were also collected. All the analyses were carried out using the procedures described under section A (Ca-supplementation study). SUMMARY: Acid deposition induced losses of calcium (Ca) from northeastern forests have had negative effects on forest health for decades, including the mobilization of potentiall
Red spruce foliar nutritional and metabolic responses to N, Ca, and N+Ca additions in a plot level study from Hubbard Brook Experimental Forest NH, Adirondack State Park, NY and Groton State Forest, VT from 1997-2000.
Plot Level Ca, N, Ca+N Study Background: Three mature red spruce (Picea rubens Sarg.) – balsam fir (Abies balsamea (L.) Mill.) stands with closed canopies from across the northeastern United States were selected to assess the effects of N and Ca additions on forest growth. These sites included Groton, VT (Groton State Forest), Big Moose Lake, NY (Adirondack State Park) and Watershed 9 in the Hubbard Brook Experimental Forest, NH. Site descriptions can be found in the pdf file included in this dataset. Full site descriptions have been published in Kulmatiski et al, 2007, Nitrogen and calcium additions increase forest growth in northeastern USA spruce–fir forests, Canadian Journal of Forest Research 37: 1574-1585. This publication also provides more in-depth site and soil descriptions. In 1992, three replicate 30 m by 30 m plots were randomly assigned to each of four treatment levels: control (control), Ca addition (Ca), N addition (N), or Ca + N addition (Ca + N) in NY and NH (for a total of 12 plots at each site). In VT, only control and Ca treatments were established due to limited space and research goals (for a total of 6 plots). Beginning in July 1992 through July 2000, N amendments (100 kilograms of NH4NO3-N per hectare per year), Ca amendments (80 kilograms of CaSO4-Ca plus 80 kilograms of CaCl2-Ca per hectare per year), and Ca + N (same dosage as separate applications) amendments were hand broadcast as commercial grade salts. Applications were made in June, July, and August to each plot in each year. SUMMARY: The main objectives of this study were to evaluate changes over time (1997-2000) in foliar metabolism of mature red spruce (Picea rubens Sarg.) trees in response to additions of nitrogen, Ca, or N +Ca supplementation. N was applied as NH4NO3 and Ca was applied as gypsum [CaSO4 .2H2O (2X) + CaCl2 .2H2O (1X)] and Ca + N treatment was a combination of both at the same concentrations Three sites received these treatments; Groton, VT (Groton State Forest), Bi
Data from: Does local adaptation along a latitudinal cline shape plastic responses to combined thermal and nutritional stress?
<p>Thermal and nutritional stress are commonly experienced by animals. This will become increasingly so with climate change. Whether populations can plastically respond to such changes will determine their survival. Plasticity can vary among populations depending on the extent of environmental heterogeneity. However, theory conflicts as to whether environmental heterogeneity should increase or decrease plasticity. Using three locally-adapted populations of Drosophila melanogaster sampled from a latitudinal gradient, we investigated whether plastic responses to combinations of nutrition and temperature increase or decrease with latitude for four traits: egg-adult viability, egg-adult development time, and two body size traits. Employing nutritional geometry, we reared larvae on 25 diets varying in protein and carbohydrate content at two temperatures: 18ºC and 25ºC. Plasticity varied among traits and across the three populations. Viability was highly canalized in all three populations. The tropical population showed the least plasticity for development time, the sub-tropical showed the highest plasticity for wing area, and the temperate population showed the highest plasticity for femur length. We found no evidence of latitudinal plasticity gradients in either direction. Our data highlight that differences in thermal variation and resource predictability experienced by populations along a latitudinal cline are not sufficient to predict their plasticity. </p>
Data from: Developmental nutrition modulates metabolic responses to projected climate change
<ol> <li>Current policy has the world on track to experience around 3°C of warming by 2100. The responses of organisms to our warming world will be mediated by changes in physiological processes, including metabolic rate. Metabolic rate represents the energetic cost of living, and is fundamental to understanding the energy required to sustain populations. Current evidence indicates that animals have a limited capacity to adapt to warmer environments by reducing their metabolic rate. Consequently, animals may be more reliant on metabolic plasticity to ameliorate the thermodynamic effect of rising temperatures on physiological rates. However, metabolic plasticity is influenced by other environmental factors, including the nutritional quality of food. Elevated levels of atmospheric CO<sub>2</sub> are expected to reduce the protein and increase the carbohydrate concentration in plants, but we do not know how this will affect the response of metabolic rate to climate warming.</li> <li>Here we test the interactive effects of developmental dietary protein and carbohydrate concentrations on the metabolic plasticity of adult <i>Drosophila melanogaster</i> in response to a 3°C increase in temperature while accounting for variation associated with body mass and activity (resting metabolic rate).</li> <li>We show that the thermal sensitivity of resting metabolic rate is modulated by developmental nutrition with animals reared on nutritionally poor, low-protein diets showing the greatest increase in resting metabolic rate in response to simulated climate warming. We also show that if the nutritional quality of resources is unaffected by climate change, then temperature-induced increases in resting metabolic rate will be offset by decreases in mass, but the absolute energy requirements of animals will be elevated relative to current conditions despite this. If, on the other hand, temperatures rise and resources become more calorie-dense and carbohydrate-rich, then the resting metabolic rate of animals will remain relatively unchanged, but decreases in mass and activity may drive down the absolute energy requirements of animals.</li> <li>In the absence of evolutionary adaptation, these findings suggest that the combined plastic response of physiological, morphological, and behavioural traits to temperature and nutrition may be an important determinant of the ultimate outcome of climate change for populations.</li> </ol>
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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.