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.
85
datasets available to search
ShareScore release 0.9.0
Dataset results
85 results for “Hornet”
Figs. 44 and 45 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 44 and 45. Vespa color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face. Fig. 44. V. soror. Fig. 45. V. tropica.
Data from: Honey bees modulate their olfactory learning in the presence of hornet predators and alarm component
In Southeast Asia the native honey bee species Apis cerana is often attacked by hornets (Vespa velutina), mainly in the period from April to November. During the co-evolution of these two species honey bees have developed several strategies to defend themselves such as learning the odors of hornets and releasing alarm components to inform other mates. However, so far little is known about whether and how honey bees modulate their olfactory learning in the presence of the hornet predator and alarm components of honey bee itself. In the present study, we test for associative olfactory learning of A. cerana in the presence of predator odors, the alarm pheromone component isopentyl acetate (IPA), or a floral odor (hexanal) as a control. The results show that bees can detect live hornet odors, that there is almost no association between the innately aversive hornet odor and the appetitive stimulus sucrose, and that IPA is less well associated with an appetitive stimulus when compared with a floral odor. In order to imitate natural conditions, e.g. when bees are foraging on flowers and a predator shows up, or alarm pheromone is released by a captured mate, we tested combinations of the hornet odor and floral odor, or IPA and floral odor. Both of these combinations led to reduced learning scores. This study aims to contribute to a better understanding of the prey-predator system between A. cerana and V. velutina.
Data from: Phylogenetic tests reject Emery's rule in the evolution of social parasitism in yellowjackets and hornets (Hymenoptera: Vespidae, Vespinae)
Social parasites exploit the brood-care behaviour and social structure of one or more host species. Within the social Hymenoptera there are different types of social parasitism. In its extreme form, species of obligate social parasites, or inquilines, do not have the worker caste and depend entirely on the workers of a host species to raise their reproductive offspring. The strict form of Emery's rule states that social parasites share immediate common ancestry with their hosts. Moreover, this rule has been linked with a sympatric origin of inquilines from their hosts. Here, we conduct phylogenetic analyses of yellowjackets and hornets based on 12 gene fragments and evaluate competing evolutionary scenarios to test Emery's rule. We find that inquilines, as well as facultative social parasites, are not the closest relatives of their hosts. Therefore, Emery's rule in its strict sense is rejected, suggesting that social parasites have not evolved sympatrically from their hosts in yellowjackets and hornets. However, the relaxed version of the rule is supported, as inquilines and their hosts belong to the same Dolichovespula clade. Furthermore, inquilinism has evolved only once in Dolichovespula.
Fig. 11 in Hornets (Vespidae: Vespinae) of Singapore: ecology, identification, and national conservation assessment
Fig. 11. Vespa tropica in Singapore. A, dorsal view of a worker; B, worker feeding on larvae from the nest of a paper wasp (Ropalidia jacobsoni); C, worker feeding on larvae from the nest of a mud-dauber wasp (Sceliphron javanum); D, nest in an underground cavity; E, lateral view of a nest showing the bowl-shaped envelope; E: nest constructed in baskets. (Photographs: John Lee and Jit-Leang Foo).
Supplementary material 1 from: Verdasca MJ, Rebelo H, Carvalheiro LG, Rebelo R (2021) Invasive hornets on the road: motorway-driven dispersal must be considered in management plans of Vespa velutina. NeoBiota 69: 177-198. https://doi.org/10.3897/neobiota.69.71352
Supporting information
Supplementary material 2 from: Verdasca MJ, Rebelo H, Carvalheiro LG, Rebelo R (2021) Invasive hornets on the road: motorway-driven dispersal must be considered in management plans of Vespa velutina. NeoBiota 69: 177-198. https://doi.org/10.3897/neobiota.69.71352
Appendix A
Supplementary material 1 from: Cerri J, Lioy S, Porporato M, Bertolino S (2022) Combining surveys and on-line searching volumes to analyze public awareness about invasive alien species: a case study with the invasive Asian yellow-legged hornet (Vespa velutina) in Italy. NeoBiota 73: 177-192. https://doi.org/10.3897/neobiota.73.80359
Complete copy of the questionnaire on Vespa velutina in English and Italian language
Supplementary material 2 from: Hlaváček A, Daňková K, Benda D, Bogusch P, Hadrava J (2022) Batesian-Müllerian mimicry ring around the Oriental hornet (Vespa orientalis). Journal of Hymenoptera Research 92: 211-228. https://doi.org/10.3897/jhr.92.81380
Appendix 1
Supplementary material 1 from: Hlaváček A, Daňková K, Benda D, Bogusch P, Hadrava J (2022) Batesian-Müllerian mimicry ring around the Oriental hornet (Vespa orientalis). Journal of Hymenoptera Research 92: 211-228. https://doi.org/10.3897/jhr.92.81380
Data of distribution
Figure 3 from: Pérez-de-Heredia I, Darrouzet E, Goldarazena A, Romón P, Iturrondobeitia J-C (2017) Differentiating between gynes and workers in the invasive hornet Vespa velutina (Hymenoptera, Vespidae) in Europe. Journal of Hymenoptera Research 60: 119-133. https://doi.org/10.3897/jhr.60.13505
Figure 3 - PCA of the three CHC profiles labelled by hornet size, WW and DW. Principal Component Analysis of CHC profiles in each of the four autumn colonies. Chemical groups are defined by continuous line: Group 1; dash line: Group 2 and dot-dash line: Group 3. PCA dots show representations according to GMMs size, wet weight and dry weight thresholds of hornets. Size, Black dots: Large females (MW ≥ 4.5 mm); White dots: Small females (MW < 4.5 mm). Wet weight, Black dots: Heavy fresh females (≥ 0.618 g); White dots: Light fresh females (< 0.618 g). Dry weight, Black dots: Heavy dry females (≥ 0.225 g); White dots: Light dry females (< 0.225 g).
Figure 1 from: Pérez-de-Heredia I, Darrouzet E, Goldarazena A, Romón P, Iturrondobeitia J-C (2017) Differentiating between gynes and workers in the invasive hornet Vespa velutina (Hymenoptera, Vespidae) in Europe. Journal of Hymenoptera Research 60: 119-133. https://doi.org/10.3897/jhr.60.13505
Figure 1 - MW histograms. Histograms showing MW (mesoscutum width) from eight different colonies, sorted by collection date.
Figure 2 from: Pérez-de-Heredia I, Darrouzet E, Goldarazena A, Romón P, Iturrondobeitia J-C (2017) Differentiating between gynes and workers in the invasive hornet Vespa velutina (Hymenoptera, Vespidae) in Europe. Journal of Hymenoptera Research 60: 119-133. https://doi.org/10.3897/jhr.60.13505
Figure 2 - GMMs of hornet size, WW and DW. Vespa velutina size (A), wet weight (B), and dry weight (C) distribution using a Gaussian Mixture Model. Two-dimensional distribution is represented by continuous line A workers < 4.5 mm, gynes ≥4.5mm B workers < 0.618 g, gynes ≥ 0.618 g and C workers < 0.225 g, gynes ≥ 0.225 g. The dashed lines represent group densities. The 5% level of uncertainty is shown by dotted lines A 4.4 mm–4.58 mm B 0.445 g–0.797 g and C 0.202 g–0.247 g. 4 colonies: Colony 1, N= 30; Colony 2, N= 30; Colony 10, N= 240; Colony 11, N=50.
Figure 3 in Discrete dimorphism among castes of the bald-faced hornet Dolichovespula maculata (Hymenoptera: Vespidae) in different phases of the colony cycle
Figure 3. Scatterplots from the colonies in phase two, six colonies separately.
Figure 2 in Discrete dimorphism among castes of the bald-faced hornet Dolichovespula maculata (Hymenoptera: Vespidae) in different phases of the colony cycle
Figure 2. Scatterplot from the colonies in phase one, five colonies pooled.
Figure 4 from: Carpenter J, Kojima J, Villemant C (2013) Phylogeny of hornets: a total evidence approach (Hymenoptera, Vespidae, Vespinae, Vespa). Journal of Hymenoptera Research 32: 1-15. https://doi.org/10.3897/jhr.32.4685
Figure 4 - Support tree for the relationships within the genus Vespa based on a combined analysis. Support tree based on 45 morphological characters and six genes. Black nodes indicate clades supported by morphological characters. Absence of mark on nodes indicates clades diagnosed by molecular data only. Supports for nodes are given in GC-values.
Figure 3 from: Carpenter J, Kojima J, Villemant C (2013) Phylogeny of hornets: a total evidence approach (Hymenoptera, Vespidae, Vespinae, Vespa). Journal of Hymenoptera Research 32: 1-15. https://doi.org/10.3897/jhr.32.4685
Figure 3 - Support tree for the relationships among 13 Vespa species based on the six genes. Supports for nodes are given in GC-values. Grey rectangles show the molecular markers available for each species.
Figure 2 from: Carpenter J, Kojima J, Villemant C (2013) Phylogeny of hornets: a total evidence approach (Hymenoptera, Vespidae, Vespinae, Vespa). Journal of Hymenoptera Research 32: 1-15. https://doi.org/10.3897/jhr.32.4685
Figure 2 - Support tree for relationships among the 22 Vespa species based on 45 morphological characters.Supports for nodes are given in GC-values (see text for explanation) when they are greater than zero.
Figure 1 from: Carpenter J, Kojima J, Villemant C (2013) Phylogeny of hornets: a total evidence approach (Hymenoptera, Vespidae, Vespinae, Vespa). Journal of Hymenoptera Research 32: 1-15. https://doi.org/10.3897/jhr.32.4685
Figure 1 - Phylogeny of the genus Vespa after Archer (1994a: figure 8).Tree updated for the current classification (Nguyen et al. 2006). The species groups discussed in this paper are as follows: 1 crabro 2 tropica 3 affinis 4 bicolor sensu Archer (1994b).
Data from: Honey bees modulate their olfactory learning in the presence of hornet predators and alarm component
Open the record for dataset details and reuse information.
Data from: Poison and alarm: the Asian hornet Vespa velutina uses sting venom volatiles as alarm pheromone
Open the record for dataset details and reuse information.
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.