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.
1,777
datasets available to search
ShareScore release 0.9.0
Dataset results
1,777 results for “under bark”
Figure 3 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 3. Labeled diagram of antennal morphology used in this study. Specimen illustrated is Hypothenemus birmanus.
Figure 20 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 20. Images of Microcosmoderes shoreae: A) Lateral, dorsal, and ventral photograph, B) frons, and C) proventriculus.
Figure 2 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 2. Labeled diagram of external morphology used in this study. Specimen illustrated is Hypothenemus birmanus.
Figure 8 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 8. Phylogeny of Ernoporini.Tree is made in RAxML, constrained to the tree by Johnson et al. (2018). Support values are not included due to artificial inflation by constraints.The constraint tree is indicated by a bold line. Outgroup taxa are omitted from the figure. Name pre- and post-revision are displayed, with changes marked in bold. Color boxes indicate genera.The type species of a genus is marked with underlined text.
Figure 15 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 15. Images of Cosmoderes spp.: Aedeagus of A) C. consobrinus and B) C. elegans. Proventricuus of C) C. attenuatus, and D) C. elegans.
Figure 30 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 30. Images of Hemicryphalus argutus: Dorsal and lateral photographs of A) male and B) female, eye, and antennae of A) male and B) female, E) aedeagus, and F) proventriculus.
Figure 28 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 28. Images of Ernoporus spp.: A) Ernoporus tiliae showing eye and antennae, B) male genitalia of E. imitatrix. Proventriculus of C) E. corpulentus, D) E. imitatrix, E) E. parvulus, and F) E. tiliae.
Figure 4 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 4. Labeled photos showing the variation in the proventriculus of former Cryphalini genera.A) Cryphalus, B) Ernoporus, C) Eidophelus, and D) Procryphalus.
Figure 18 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 18. Images of Hypothenemus spp.: Proventriculus of A) H. areccae, B) H. dissimilis, C) H. eruditus, D) H. georgiae, E) H. hampei, and F) H. piaparolinae. Images not to scale.
Figure 19 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 19. Images of Macrocryphalus oblongus: Dorsal and lateral photographs of A) male and B) female, D) Antennae of female, and D) aedeagus.
Figure 24 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 24. Images of Eidophelus spp.: Dorsal and lateral photos of A) E. quadridens, B) E. fagi, C) E. semenovi, D) E. spessivtzevi, E) E. squamosus.
Figure 14 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 14. Images of Cosmoderes spp.: Dorsal and lateral photographs of A) C. attenuatus, B) C. consobrinus, C) C. elegans, D) C. euonymi. Eye and antennae of E) C. elegans, F) C. euonymi.
Figure 22 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 22. Images of Xyloterini spp.: Lateral and dorsal photographs of A) Indocryphalus pubipennis (male), B) I. sordidus (female), C) Xyloterinus politus (female), and D) Trypodendron domesticum (male). E) Proventriculus of I. pubipennis. F) Genitalia of I. pubipennis.
Figure 27 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 27. Images of Ernoporus spp.: Dorsal and lateral photos of A) E. corpulentus, B) E. imitatrix, C) E. parvulus, and D) E. tiliae. Eye and antennae of E) E. imitatrix and F) E. parvulus.
Figure 23 in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 23. Images of Eidophelus spp.: Dorsal and lateral photos of A) E. darwini, B) E. euphorbiae, C) E. jalappae, D) E. hylesinopsis, E) E. puerarae.
Figure 1. Simplified cladogram inferred from a in Revision of the Bark Beetle Genera Within the Former Cryphalini (Curculionidae: Scolytinae)
Figure 1. Simplified cladogram inferred from a>100-gene phylogeny presented in Johnson et al. (2018). Blue text represents genera of Cryphalini sensu (Wood 1986a)
Difference in effect of pheromone for monitoring the European spruce bark beetle
<p>In recent decades there have been an increasing number of outbreaks of the European spruce bark beetle (<i>Ips typographus</i>) in Europe. A large amount of sanitary felling has taken place, with significant economic and ecological consequences. In order to anticipate such large-scale outbreaks, an effective monitoring system should be set up. One important aspect of monitoring is the decision on which pheromone to use. We suggest a framework for selecting an effective pheromone with few side effects and implemented it on five different pheromones under different disturbance conditions: Pheroprax, IT Ecolure, Ipstyp, Ipsowit and Typosan. We set 50 traps in two areas with sites that were disturbed and undisturbed by wind storms. We collected bark beetles from traps every one to two weeks from the end of March until the end of September in 2019. We investigated the number of bark beetles caught, bark beetle dynamics, amount of bycatch and predators, the taxonomic groups of the bycatch and the overall costs of the monitoring system. We found that Pheroprax, IT Ecolure and Ipsowit caught the most bark beetles and best showed the population dynamics. There was a low amount of bycatch (less than 6% of the total catch) and predators (a few individuals), but some groups seem to prefer certain pheromones. The cost of the pheromones increased with their effectiveness. However, pheromone costs are low relative to the personnel costs involved in setting traps and collecting bark beetles. The framework and the results will help professionals to decide which pheromones to purchase for their bark beetle monitoring system.</p>
What do we know about the missing millions of Earth's insect species: evidence from Australian tropical rainforest bark beetles?
<p><span>Only 20% of the estimated five million species of insects on Earth are named despite over 240 years of taxonomy. Yet insects are poorly represented in protected area assessments, and insect declines are of concern globally. Here we explore how to increase the discovery of new species and understanding of this group through analysis of 10,097 tropical rainforest bark beetles (Scolytinae) from eight different ecological studies using beetles between 2000 and 2018 in the Australian Wet Tropics. Of the 107 species identified, 58 are undescribed: an increase of 35% on the 166 species known from Australia. As hypothesised, new species are significantly smaller, less abundant and less widespread than described species making them more extinction prone than named species. Rarefaction indicates doubling sampling would increase the number of species by 17. Flight Interception Traps (FIT) collected 84% of individuals and 98% of species confirming the effectiveness of a single sampling method for some beetles. Increased locations and collection from the canopy may sample further species rather than additional collecting methods.<span> </span>Scolytines are relatively well studied with a cadre of taxonomists at the forefront of using modern methods to resolve formerly intractable groups. These new species are more likely to be named than others in many other beetle groups where taxonomy has largely stalled. To increase species description rates and to avoid most species becoming extinct before being named, we call on taxonomists to use new character systems provided by DNA methods and to look at working with Artificial Intelligence tools.<span> </span></span></p>
Data for Hogan et al. 2024: "Basal bark herbicide treatment of Lonicera maackii (Amur honeysuckle) is effective regardless of application timing, with limited nontarget effects on native plant diversity"
<p>Data to accompany the following publication, currently in press:</p> <p>Hogan, K.F.E., K.Baker, E.M. Bach, N.A. Barber. Basal bark herbicide treatment of Lonicera maackii (Amur honeysuckle) is e ective regardless of application timing, with limited nontarget e ects on native plant diversity. In press, Ecological Solutions and Evidence</p> <p> </p> <p>Paper abstract: </p> <p><span>Managers tasked with controlling invasive species require effective methods that are quick and easy to use without inflicting extensive nontarget damage, while also being compatible with other scheduled management responsibilities. <em>Lonicera maackii</em> (Amur honeysuckle) is a non-native shrub that has invaded eastern and midwestern North American deciduous forests, altering ecosystem function and reducing biodiversity. </span><span>This study explores prescribed fire and seasonal basal applications of triclopyr ester as control methods and examines the extent of nontarget damage. We used paired-split plots to implement basal bark treatments in different seasons within burned and unburned units, and we tracked individual<em> L. maackii</em> to determine mortality and hyperlocal impacts of management. </span><span>Basal bark treatments killed 98.4% of <em>L. maackii</em> across seasonal timings. Nontarget plant cover immediately declined similarly for all herbicide application seasons, but the early- and late-spring treatments showing signs of recovery within four years. Meanwhile, species richness showed biologically small but statistically different declines across all treatment times. Prescribed fire did not impact <em>L. maackii </em>mortality or interact with herbicide efficacy. </span><span>Basal bark applications of triclopyr are an effective means of <em>L. maackii</em> control regardless of application timing, which allows managers to implement it at their convenience to avoid interfering with other management tasks that have time constraints.</span></p>
Cornus florida (Cornaceae) - bark - of a large tree
Image of Cornus florida (Cornaceae) - bark - of a large tree
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.