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58 results for “food selection”
Sensory and Behavioral Aspects With Particular Attention to Food Selectivity in Children With Autism
ClinicalTrials.gov study NCT06335030. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
FoodFLIP: Testing the Effectiveness of a Food Information App to Promote the Selection of Healthier Foods
ClinicalTrials.gov study NCT02814604. IPD Sharing: NO. Countries: 1. Publications: 3.
Exploring Virtual Reality As an Intervention for Food Selectivity: a Clinical Trial
ClinicalTrials.gov study NCT06656585. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Tasting novel foods and selecting nutrient content in a highly successful ecological invader, the common myna
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Data from: Environment-dependent sexual selection: Bateman's parameters under varying levels of food availability
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Trophic differences regulate grassland food webs: herbivores track food quality and predators select for habitat volume
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Figure 3 from: Furusaka S, Kozakai C, Nemoto Y, Umemura Y, Naganuma T, Yamazaki K, Koike S (2017) The selection by the Asiatic black bear (Ursus thibetanus) of spring plant food items according to their nutritional values. ZooKeys 672: 121-133. https://doi.org/10.3897/zookeys.672.10078
Figure 3 - Right-angled mixture triangles (RMT) depicting the macronutrient balance of Quercus crispula, Salix bakko, Malus toringo, Elaeagnus umbellata, Alnus firma, Clethra barbinervis, Robinia pseudoacacia, and Betula ermanii leaves in early and late May. The RMT on the left a is early May, while the RMT on the right b is late May. Crude protein is represented on the implicit axis which varies inversely with distance from the origin (the dashed gray line indicates 25% protein content).
Figure 2 from: Furusaka S, Kozakai C, Nemoto Y, Umemura Y, Naganuma T, Yamazaki K, Koike S (2017) The selection by the Asiatic black bear (Ursus thibetanus) of spring plant food items according to their nutritional values. ZooKeys 672: 121-133. https://doi.org/10.3897/zookeys.672.10078
Figure 2 - Proportion of observed time for each food item and seasonal changes in the nutritional values of Quercus crispula (left) leaves, Malus toringo (center) leaves, and Salix bakko (right) leaves from early May (leaf flash) to late June 2013. A The proportion of time for which bears were observed consuming (2013: black and 2014: gray) B total energy C neutral detergent fiber, and D crude protein. Different lower case letters within each graph indicate significant differences (Kruskal–Wallis test, P < 0.05). White circles indicate when bears were observed consuming Q. crispula leaves (early May and late May), M. toringo leaves (early May), and S. bakko (early May and late May).
Figure 1 from: Furusaka S, Kozakai C, Nemoto Y, Umemura Y, Naganuma T, Yamazaki K, Koike S (2017) The selection by the Asiatic black bear (Ursus thibetanus) of spring plant food items according to their nutritional values. ZooKeys 672: 121-133. https://doi.org/10.3897/zookeys.672.10078
Figure 1 - Map of the study area, located in the Ashio-Nikko Mountains range in Tochigi and Gunma Prefectures, central Japan. Black lines were trails to observe bears and black circles were the points of vegetation surveyed in the Ashio area.
Figure 1 from: Koleva P, Tsanova-Savova S, Paneva S, Velikov S, Savova Z (2021) Polyphenols content of selected medical plants and food supplements present at Bulgarian market. Pharmacia 68(4): 819-826. https://doi.org/10.3897/pharmacia.68.e71460
Figure 1 Chromatogram of Standard mix of (+)-catechin, (-)-epicatechin and rutin at 275 nm (a) and 355 nm (b).
Figure 8 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 8 - Mesoniscus graniger, Zidită Cave, Romania – gut with food (plant remnants indicated by arrows). Stained with Masson's trichrome. Scale bar: 0.05 mm.
Figure 6 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 6 - Folsomia candida – gut with microfungal conidia (arrows). Stained with Masson's trichrome. Scale bar: 0.02 mm
Figure 4 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 4 - Trachysphaera costata – gut with microfungal conidia (arrows). Stained with Masson's trichrome. Scale bar: 0.02 mm.
Figure 5 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 5 - Protaphorura armata – gut with bacterial cluster. Stained with Masson's trichrome. Scale bar: 0.02 mm.
Figure 2 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 2 - Eukoenenia spelaea – gut, confocal microscopy. Autofluorescence under red channel (emission 588–683 nm, excitation 548–557–567 nm). White arrows = gut diverticula, green arrowheads = cyanobacteria, red arrowheads = glycogen deposits. Scale bar: 0.1 mm.
Figure 3 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 3 - Pantelozetes cavaticus – mesenteron with concentric bolus. Black arrowheads = apocrine secretion of the walls of mesenteron, red arrowhead = particle of amorphous mass in food bolus. Stained with Masson's trichrome. Abbreviations: ba bacteria loosely out of food bolus fb food bolus g glycogen deposits go gonads me cavity of mesenteron. Scale bar: 0.02 mm.
Figure 1 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 1 - Eukoenenia spelaea – gut with food (large cells, indicated by black arrows). Red arrowhead = plated cyanobacteria in cave substrate (inset), blue arrowheads = glycocalyx. Stained with Masson's trichrome. Abbreviation: g glycogen deposits. Scale bar: 0.02 mm.
Figure 7 from: Smrž J, Kováč L, Mikeš J, Šustr V, Lukešová A, Tajovský K, Nováková A, Režňáková P (2015) Food sources of selected terrestrial cave arthropods. Subterranean Biology 16: 37-46. https://doi.org/10.3897/subtbiol.16.8609
Figure 7 - Mesoniscus graniger, Domica Cave, Slovakia – gut with food (plant remnants indicated by arrows). Stained with Masson's trichrome. Abbreviation: w gut walls with red nuclei. Scale bar: 0.05 mm.
Climate Impact Label Design and Fast-Food Meal Selection
ClinicalTrials.gov study NCT06678178. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Plant-based food choice selection when presented as a default
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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)
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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.