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1,777 results for “under bark”

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zenodo32/100

Fig. 5 in Highly oxygenated and rearranged limonoids from the stem barks of Entandrophragma utile

Fig. 5. The CD spectra of compounds 3–7 in MeOH; the bold lines denote the electric transition dipole of the chromophores for 3.

opennotspecifiedApr 2020View details →
zenodo32/100

Fig. 7 in Anti-inflammatory quinoline alkaloids from the root bark of Dictamnus dasycarpus

Fig. 7. Inhibitory effects on inflammatory cytokines of compound 15. (*, p <0.05; **, p <0.01; ###, ***, p <0.001; ####, ****, p <0.0001).

opennotspecifiedApr 2020View details →
zenodo32/100

Fig. 2 in Anti-inflammatory quinoline alkaloids from the root bark of Dictamnus dasycarpus

Fig. 2. Key HMBC (H C) and 1H–1H COSY (red thick lines) correlations of compounds 1–5. (For interpretation of the references to colour in this figure legend, the → reader is referred to the Web version of this article.)

opennotspecifiedApr 2020View details →
zenodo32/100

Fig. 3 in Anti-inflammatory quinoline alkaloids from the root bark of Dictamnus dasycarpus

Fig. 3. The chiral HPLC separation (A) and experimental and calculated ECD spectra (B, C) of compounds 1a and 1b.

opennotspecifiedApr 2020View details →
zenodo32/100

Reference data on bark beetle infestations in Trentino (Italian Alps)

<p>Reference data about the bark-beetle infestations&nbsp;in the Trentino province (Italy) covering the 2019-2022 years.</p><p>The reference data were generated by manual photointerpretation of Planet imagery (i.e., monthly Planet basempas) and are provided in two datasets, a point-based one and a polygon-based one. A detailed description of the two datasets is provided in D. Marinelli, M. Dalponte, L. Frizzera, E. Næsset, D. Gianelle, "<a href="https://www.sciencedirect.com/science/article/pii/S0034425723004030">A method for continuous sub-annual mapping of forest disturbances using optical time series</a>", Remote Sensing of Environment 299, 113852.</p><p>The GeoPackage file contains three layers. Here we provide the layers with name and description of each field:</p><ul><li><strong>Point-based dataset</strong>:<ul><li><i>fid</i>: feature id;</li><li><i>is_disturbed</i>: boolean set to true if the point has been labelled as disturbed.</li></ul></li><li><strong>Polygon-based dataset</strong>;<ul><li><i>fid</i>: feature id;</li><li><i>study_area_fid</i>: id of the study area;</li><li><i>survey_detection_year</i>: year of the first detection by photointerpretation;</li><li><i>survey_detection_month</i>: month of the first detection by photointerpretation.</li></ul></li><li><strong>Study areas (polygon-based dataset)</strong>.<ul><li><i>fid</i>: id of the study area.</li></ul></li></ul><p>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo32/100

FIGURE 14 in An illustrated key and new records of the Afrotropical bark beetle genus Cryphalomimus Eggers (Coleoptera, Curculionidae)

FIGURE 14. Distribution of Cryphalomimus: star, C. striatus; circle, C. grandis; square, C. ater. Question mark indicate one undocumented record of C. striatus from Mozambique.

opennotspecifiedOct 2023View details →
zenodo32/100

FIGURES 2–10 in An illustrated key and new records of the Afrotropical bark beetle genus Cryphalomimus Eggers (Coleoptera, Curculionidae)

FIGURES 2–10. Dorsal, lateral and front view of (2, 5, 8) Cryphalomimus striatus; (3, 6, 9) Cryphalomimus ater holotype; (4, 7, 10) Cryphalomimus grandis holotype.

opennotspecifiedOct 2023View details →
zenodo32/100

FIGURE 1 in An illustrated key and new records of the Afrotropical bark beetle genus Cryphalomimus Eggers (Coleoptera, Curculionidae)

FIGURE 1. Modified tree topology from Jordal (2023) showing relationship of Cryphalomimus to other Xyloctonina genera. Only the nodes relevant to the higher-level classification have support values indicated. Probabilities&gt;0.9 and parsimony bootstrap support&gt;50 are noted above and below branches, respectively.

opennotspecifiedOct 2023View details →
zenodo32/100

FIGURES 11–13 in An illustrated key and new records of the Afrotropical bark beetle genus Cryphalomimus Eggers (Coleoptera, Curculionidae)

FIGURES 11–13. Digestive and reproductive organs of Cryphalomimus striatus. (11) Maxillae and labium (dorsal view); (12) proventriculus (inner view); (13) male aedeagus (dorsal view).

opennotspecifiedOct 2023View details →
ClinicalTrials.gov32/100

Evaluation the Effects of French Maritime Pine Bark Extract on the Clinical Status in Traumatic Brain Injury Patients

ClinicalTrials.gov study NCT03777683. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effect of a Sugar-Free Chewing Gum Containing Magnolia Bark Extract on Caries Lesions in Healthy Adult Volunteers

ClinicalTrials.gov study NCT02310308. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Functional investigation of monoterpenes for improved understanding of the relationship between hosts and bark beetle

Open the record for dataset details and reuse information.

publicNov 2020View details →
dryad32/100

Data from: Cross-scale interactions among bark beetles, climate change and wind disturbances a landscape modeling approach

Open the record for dataset details and reuse information.

publicMay 2013View details →
dryad32/100

Data from: Flying the nest: male dispersal and multiple paternity enables extrafamilial matings for the invasive bark beetle Dendroctonus micans

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publicFeb 2014View details →
dryad32/100

Data from: Comparative multi-locus phylogeography of two Palaearctic spruce bark beetles: influence of contrasting ecological strategies on genetic variation

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publicFeb 2015View details →
dryad32/100

Data from: Ants, fire and bark traits affect how African savanna trees recover following damage

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publicMay 2019View details →
dryad32/100

Data from: Phylogenomics clarifies repeated evolutionary origins of inbreeding and fungus farming in bark beetles (Curculionidae, Scolytinae)

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publicMar 2019View details →
dryad32/100

Distribution pattern of entry holes of the tree-killing bark beetle Polygraphus proximus

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publicFeb 2021View details →
dryad32/100

Data from: Rocky Mountain forests are poised to recover following bark beetle outbreaks, but with altered composition

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publicAug 2022View details →
dryad32/100

Data from: Cryptic and pseudo-cryptic diversity in the world’s most common bark beetle – Hypothenemus eruditus

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publicMar 2018View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record