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20 results for “Chemical classes”
Fig. 3 in The trade-off between the transmission of chemical cues and parasites: behavioral interactions between leaf-cutting ant workers of different age classes
Fig. 3. Mean ± s.e. frequencies that young and old ants were observed giving or receiving allogrooming during a 15 s observation period.
Fig. 2 in The trade-off between the transmission of chemical cues and parasites: behavioral interactions between leaf-cutting ant workers of different age classes
Fig. 2. Mean ± s.e. frequencies that young and old ants were: (a) observed selfgrooming and (b) observed engaged in mandible scraping with another ant, during a 15 s observation period.
Fig. 1 in The trade-off between the transmission of chemical cues and parasites: behavioral interactions between leaf-cutting ant workers of different age classes
Fig. 1. Overall activity levels. Mean ± s.e. frequencies that young and old ants were: (a) observed engaging in one of the focal behaviors and (b) observed engaged in antennation with another ant, during a 15 s observation period.
Fig. 12 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 12. NSEs extracted from Prunus padus, Smilax glabra, Bistorta manshuriensis and Aristolochia cretica.
Fig. 3 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 3. Examples of SEs synthesis. (A) heterogeneous catalysis approach and (B) total synthesis of phenylpropanoid SEs.
Fig. 8 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 8. Structure of NSEs extracted from Bidens parviflora, Phyllanthus cochinchinensis and Oryza sativa.
Fig. 2 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 2. Examples of SEs synthesis. (A) protection and unprotection approach and (B) biocatalysis approach.
Fig. 9 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 9. NSEs with phenylpropanoid substitutes extracted from Prunus tomentosa, Polygonum lapathifolium and Polygonum perfoliatum.
Fig. 15 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 15. NSEs extracted from Raphanus sativus, Calamus quiquesetinervius and Canna edulis Ker Gawl.
Fig. 14 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 14. NSEs extracted from Polygala telephioides and Polygala arillate.
Fig. 13 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 13. NSEs extracted from Polygala sibirica, Polygala tenuifolia Willd and Polygala glomerate.
Fig. 11 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 11. NSEs extracted from Fagopyrum acutatum and Phyllanthus niruri.
Fig. 10 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 10. NSEs extracted from Echium angustifolium and Quillaja Saponaria.
Fig. 7. NSEs extracted from N. tabacum, E. hiemale L and V in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 7. NSEs extracted from N. tabacum, E. hiemale L and V. guineensis.
Fig. 4 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 4. NSEs extracted from Physalis solanaceus and Physalis peruviana.
Fig. 6 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 6. NSEs with aliphatic substituted extracted from Physalis plants.
Fig. 1 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 1. Chemical structure of sucrose.
Identification of a New Chemical Class of Antimalarials, ACT-213615
GEO Series GSE39485. Plasmodium falciparum. 10 samples. Type: Expression profiling by array.
HSP90, a potential common therapeutic target for suppressing skin injury caused by exposure to chemically diverse classes of blistering agents
GEO Series GSE230382. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Fig. 5 in Natural sucrose esters: Perspectives on the chemical and physiological use of an under investigated chemical class of compounds
Fig. 5. NSEs extracted from Physalis alkekengi var. franchetii.
ScienceDex guides
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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)
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.