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”
Fig. 1 in Eidophelus caucasicus (Lindemann, 1877) a bark beetle confirmed for the Italian fauna after almost 100 years (Coleoptera: Curculionidae, Scolytinae)
Fig. 1 –Eidophelus caucasicus (Lindemann, 1877) (1,72 mm).
Data from: Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks?
<p>The published dataset contains the result of the paper titled <em><strong>Is salvage logging effectively dampening bark beetle outbreaks and preserving forest carbon stocks? </strong></em></p> <p>The first sheet contains time averages for the 104years simulation period for several variables driven by different climate conditions and salvaging intensities. Other sheets shows data for the Appendices: time series for reference climate and one climate model scenario, time averages of salvaged and removed C and finally the time series of number of frost days.</p> <p>See more details about target area, and iLand model:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192318302946</p> <p>http://iland.boku.ac.at/startpage</p> <p> </p> <p>contact: Laura Dobor; dobor.laura@gmail.com</p>
Figure 1 in Bark-feeding Kamalia priapus (Lepidoptera: Notodontidae) damaging Homalium ceylanicum trees in Vietnam
Figure 1. Distribution of Kamalia priapus in plantations and urban areas in Vietnam.
Fig. 3 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 3. Dorsal and lateral view of female Ips calligraphus interstitialis. Scale bar: 1 mm.
Fig. 2 in Potential pest bark and ambrosia beetles from Cuba not present in the continental United States
Fig. 2. Dorsal and lateral view of female Euwallacea posticus. Scale bar: 1 mm.
Table 3 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark
<p><b>Table 3.</b> Diameter of the inhibitory zone of the hydroethanolic extract of <i>Anadenanthera peregrina</i> stem bark against <i>Staphylococcus aureus</i> (ATCC 25923) and <i>Escherichia coli</i> (ATCC 25922).</p><table><tbody><tr><th></th><th><b>A. peregrina extract concentration</b></th><th></th><th></th></tr></tbody><tbody><tr><th><b>Strain</b></th><td></td><td></td><td></td><td><b>C +</b></td><td><b>C -</b></td></tr><tr><th></th><td><b>50 µL</b></td><td><b>100 µL</b></td><td><b>200 µL</b></td><td></td><td></td></tr><tr><th><i>E. coli</i></th><td>-</td><td>-</td><td>-</td><td>29 mm</td><td>-</td></tr><tr><th><i>S. aureus</i></th><td>10 mm</td><td>16 mm</td><td>20 mm</td><td>35 mm</td><td>-</td></tr></tbody></table>
Table 2 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark
<p><b>Table 2.</b> Physicochemical properties,antioxidant activity,and total phenolic content of the hydroethanolic extract of <i>A.peregrina</i> stem bark.</p><table><tbody><tr><th>Sample</th><th>pH</th><th>Density (g cm 3)</th><th>DPPH (IC 50)</th><th><b>Total Phenolics (g GAE 100 g-</b> 1)</th></tr></tbody><tbody><tr><th><b>A. peregrina extract</b></th><td>5.21 ± 0.01</td><td>0.956</td><td>44.13 mg mL-1</td><td>6.40 ± 0.08</td></tr></tbody></table>
Table 1 in Phytochemical characterization, and antioxidant and antibacterial activities of the hydroethanolic extract of Anadenanthera peregrina stem bark
<p><b>Table 1.</b> Phytochemical prospecting of the main secondary metabolite groups of the hydroethanolic extract of <i>A. peregrina</i> stem bark.</p><table><tbody><tr><th><b>Secondary metabolite</b></th><th><b>Hydroethanolic extract of A. peregrina</b></th></tr><tr><th><b>Cardiac glycosides</b></th></tr></tbody><tbody><tr><th>Kedd reagent test</th><td>++</td></tr><tr><th>Keller–Kiliani reagent test</th><td>++</td></tr><tr><th>Baljet reagent test</th><td>-</td></tr><tr><th>Raymond–Marthoud reagent test</th><td>+++</td></tr><tr><th><b>Alkaloids</b></th></tr><tr><th>Libermann–Bouchardat reagent test</th><td>-</td></tr><tr><th>Wagner reagent test</th><td>-</td></tr><tr><th>Mayer’s reagent test</th><td>-</td></tr><tr><th><b>Organic acids</b></th></tr><tr><th>Pascová reagent test</th><td>++</td></tr><tr><th><b>Reducing sugars</b></th></tr><tr><th>Fehling reagent test</th><td>++</td></tr><tr><th><b>Non-reducing sugars</b></th></tr><tr><th>Fehling + HCl test</th><td>-</td></tr><tr><th><b>Coumarins</b></th></tr><tr><th>UV light 254 and 365 nm</th><td>+</td></tr><tr><th><b>Saponins</b></th></tr><tr><th>Foamy</th><td>-</td></tr><tr><th>Haemolytic</th><td>+++</td></tr><tr><th><b>Polysaccharides</b></th></tr><tr><th>Reactive lugol</th><td>-</td></tr><tr><th><b>Phenols</b></th></tr><tr><th>FeCl 3 <b>Tannins</b></th><td>+++</td></tr><tr><th>FeCl3 <b>Flavonoids</b></th><td>Gr</td></tr><tr><th>Pb(C2 H 3O2)2</th><td>++</td></tr><tr><th><b>Purines</b></th><td><b>-</b></td></tr><tr><th><b>Catechins</b></th><td>+++</td></tr><tr><th><b>Benzoquinone derivatives</b></th><td>+++</td></tr><tr><th><b>Depsids and depsidones</b></th><td>+++</td></tr><tr><th><b>Steroids and triterpenoids</b></th><td><b>-</b></td></tr><tr><th><b>Sesquiterpenolactones</b></th><td>-</td></tr></tbody></table>
Dataset for Label-free and Sensitive Detection of Citrus Bark Cracking Viroid in Hop Using Ti3C2Tx MXene-modified Genosensor
<p>This is a dataset for a paper "Label-free and Sensitive Detection of Citrus Bark Cracking Viroid in Hop Using Ti3C2Tx MXene-modified Genosensor". All details about the data are included in the readme file.</p>
Bark-scratching of storm-felled trees preserves biodiversity at lower economic costs compared to debarking
<p>The abundance data presented here focus on saproxylic beetles collected over two years on trees in a mountain forest ecosystem (analysed and discussed in Thorn et al. <a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1343#ecm1343-bib-0043">2016</a>). The design consists of 12 plots each composed of three experimentally felled trees, resulting in a total of 36 experimental felled trees. In each plot, the bark of one tree was completely removed, the bark of a second tree was only partially removed (i.e., bark-scratched), and the third tree served as a control. The design is thus composed of 12 replications of three different treatments (i.e., control, bark-scratched, and debarked). A total of 120 species of saproxylic beetles were trapped with emergence traps on felled trees (Thorn et al. <a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1343#ecm1343-bib-0043">2016</a>).</p>
Thinner bark increases sensitivity of wetter Amazonian tropical forests to fire
<p>Understory fires represent an accelerating threat to Amazonian tropical forests and can, during drought, affect larger areas than deforestation itself. These fires kill trees at rates varying from < 10 to c. 90% depending on fire intensity, forest disturbance history and tree functional traits. Here, we examine variation in bark thickness across the Amazon. Bark can protect trees from fires, but it is often assumed to be consistently thin across tropical forests. Here, we show that investment in bark varies, with thicker bark in dry forests and thinner in wetter forests. We also show that thinner bark translated into higher fire‐driven tree mortality in wetter forests, with between 0.67 and 5.86 gigatonnes CO<sub>2</sub> lost in Amazon understory fires between 2001 and 2010. Trait‐enabled global vegetation models that explicitly include variation in bark thickness are likely to improve the predictions of fire effects on carbon cycling in tropical forests.</p>
FIGURE 4 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 4: (Prostigmata): a – Mexecheles virginiensis; b – Under site of pedipalpus of M. virginiensis; c – Ereynetes propescutulis; d – Frontal part of E. propescutulis; e – Aethiophenax ipidarius; f – Leg I of A. ipidarius.
FIGURE 2 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 2: (cohort Astigmata): a – Nanacarus sp.; b – "Eyes" of Nanacarus sp.; c – Frontal view of Bonomoia pini; d – Dorsal side of B. pini; e – Ventral side of B. pini; f – Boletoglyphus boletophagi.
FIGURE 3 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 3: (Oribatida): a – Siculobata leontonycha; b – A claw of tarsus I of S. leontonycha; c – Diapterobates humeralis; d – Frontal part of D. humeralis; e – Carabodes labyrinthicus; f – Ceratoppia bipilis.
FIGURE 1 in The Mites (Acari) Associated With Bark Beetles In The Koli National Park In Finland
FIGURE 1: (Mesostigmata): a – Insectolaelaps quadrisetus; b – Proctolaelaps fiseri; c – Trichouropoda polytricha; d – T. polytricha specimens on ventral abdomen of I. typographus; e – Uroobovella vinicolora; f – U.vinicolora specimen attached on elytra of I. typographus.
FIGURE 6 in A new species of Tarsonemus (Acari: Tarsonemidae) associated with the bark beetle, Polygraphus proximus (Coleoptera: Curculionidae: Scolytinae) from the Far East of Russia
FIGURE 6: Tarsonemus striatus n. sp., male: A – left leg I in dorsal view; B – left leg II in dorsal view.
FIGURE 3 in A new species of Tarsonemus (Acari: Tarsonemidae) associated with the bark beetle, Polygraphus proximus (Coleoptera: Curculionidae: Scolytinae) from the Far East of Russia
FIGURE 3: Tarsonemus striatus n. sp., female: A – left leg I in dorsal view; B – left leg II in dorsal view.
FIGURE 2 in A new species of Tarsonemus (Acari: Tarsonemidae) associated with the bark beetle, Polygraphus proximus (Coleoptera: Curculionidae: Scolytinae) from the Far East of Russia
FIGURE 2: DIC micrographs of Tarsonemus striatus n. sp. female: A – central part of prodorsal shield; B – central part of tergite C; C – central parts of tergites D and EF; D – pharynx; E – central part of posterior sternal plate; F – central part of anterior sternal plate.
FIGURE 4 in A new species of Tarsonemus (Acari: Tarsonemidae) associated with the bark beetle, Polygraphus proximus (Coleoptera: Curculionidae: Scolytinae) from the Far East of Russia
FIGURE 4: Tarsonemus striatus n. sp., female: A – left leg III in ventral view; B – left leg IV in ventral view.
FIGURE 7 in A new species of Tarsonemus (Acari: Tarsonemidae) associated with the bark beetle, Polygraphus proximus (Coleoptera: Curculionidae: Scolytinae) from the Far East of Russia
FIGURE 7: Tarsonemus striatus n. sp., male: A – left leg III in dorsal view; B – left leg IV in dorsal view.
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.