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1,580 results for “Vulnerabilities”
Figure 2 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 2. Theholotype female of Augochlora brevipilosa sp.nov., (A) frontal view of head; (B) dorsal view of mesosoma; (C) obliqueview of habitus, red arrows showing S4–5 short pubescence. Scale bar: 1.0 mm, all at same scale.
Figure 7 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 7. The holotype female of Augochlora meloi sp. nov.: (A) frontal view of head; (B) dorsal view of mesosoma; (C) dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 1 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 1. Augochlora almeidai sp. nov., (A– B) holotype female; (C–E) paratype male; (A) female, lateral view of head, red arrow showing thehypostomal lamella; (B) female, dorsal view of mesosoma and metasoma; (C) male, lateral view of head, red arrow showing the hypostomallamella; (D) male, dorsal view of mesosoma; (E) male, dorsal view ofmetasoma. Scale bar: 1.0 mm, all at same scale.
Figure 9 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 9. Augochlora obidensis sp. nov.: (A–C) holotype female; (D–F) paratype male. (A) Female, frontal view of head; (B) female, lateral view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, lateral view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 6. Augochlora matucanensis Cockerell, 1914 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 6. Augochlora matucanensis Cockerell, 1914: (A) female, frontal view of head; (B) female, dorsal view of mesosoma and metasoma; (C) male, lateral view of head; (D) male, dorsal view of mesosoma and metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 13 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 13. Map of distribution records for Oxystoglossella of the A. aurinasis and A. modica species groups: (A) A. almeidai, A. aurinasis and A. meloi sp. nov.; (B) A. eucnemis, A. lamellata sp. nov., A. mineira sp. nov. and A. rightmyerae; (C) A. mendax and A. modica; (D) A. simplex sp. nov. and A. tenax.
Figure 8 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 8. Augochlora mineira sp. nov.: (A–C) holotype female; (D–F) paratype male. (A) Female, frontal view of head; (B) female, dorsal view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, dorsal view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 12 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 12. Augochlora simplex sp. nov.: (A) female, frontal view of head; (B) female, dorsal view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, dorsal view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 3 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 3. The holotype female of Halictus cymatoides Vachal, 1911. (A) dorsal view, arrow: lamellate hypostomal carina; (B) frontalview of head; (C) dorsal view of metasoma; (D) labels. Scale bar: 1.0 mm
Figure 11. Augochlora rightmyerae Engel, 2000 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 11. Augochlora rightmyerae Engel, 2000: (A) female, frontal view of head; (B) female, lateral view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, lateral view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
VULNER Interview
<p>VULNER Interview</p>
Digital Literacy, Ability and Vulnerability Dataset
<p>Dataset for Digital Literacy, Ability and Vulnerability Dataset</p>
Vulnerability of the sixteen Cypriot fishing shelters
<p>Supplementary material for the vulnerability assessment of the 16 fishing shelters of Cyprus.</p>
Vulnerability Detection for Smart Contracts: A Systematic Literature Review - Supplementary Material
<p>Supplementary Material refers to the paper "Vulnerability Detection for Smart Contracts: A Systematic Literature Review" and contains the following information:</p> <p>a) DataAnalysis.xls - An Excel file created for analysis (i.e., tables and graphics).</p> <p> </p>
Vulnerability Assessment of the Coastal Zone of the Municipality of Thebes
<p>Supplementary material for the investigation of the impact of the spatial segmentation on the assessment of the vulnerability of the coastal zone of the Municipality of Thebes.</p>
Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients
<p>This dataset contains the processed scRNA-seq data and code used to investigate the association between lung cancers and COVID-19. Please refer to the article 'Single-Cell Transcriptomics Reveals Pre-existing COVID-19 Vulnerability Factors in Lung Cancer Patients' for the detailed data and method description.</p> <p>covid_cancer.rds: the processed scRNA-seq data saved as a Seurat object.</p> <p>notebooks.zip: Jupyter notebooks containing code for data analysis.</p>
VULNER legal and policy documents
<p>Legal and policy documents, which were collected as part of the VULNER project.</p>
VULNER Interviews
<p>Interviews made as part of the VULNER Project</p>
[Tool demo] AIFix4SecCode: an Automated Code Repair Framework for Fixing Vulnerabilities
<p> </p> <p><strong>>>>> TOOL DEMO SCREENCAST</strong>: please download file <a href="https://zenodo.org/record/8314593/files/AIFix4SecCode-demo.mp4?download=1">AIFix4SecCode-demo.mp4</a>. <strong><<<<</strong></p> <p> </p> <p>AIFix4SecCode is an automated code repair framework for fixing vulnerabilities. The framework detects vulnerabilities based on static analysis with the help of the <a href="https://github.com/sed-inf-u-szeged/OpenStaticAnalyzer">OpenStaticAnalyzer</a> tool that integrates <a href="https://spotbugs.github.io/">SpotBugs</a> as well.</p> <p>The detected vulnerabilities get automatically patched by an ASG transformation based repair solution implemented in the <a href="https://github.com/FrontEndART/OpenStaticAnalyzer/tree/CodeRepairTool/java/cl/CodeRepair">CodeRepair</a> code module. Currently, the automatic repair of the following security issues are supported:</p> <ul> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#ei2-may-expose-internal-representation-by-incorporating-reference-to-mutable-object-ei-expose-rep2">EI_EXPOSE_REP2</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#ei-may-expose-internal-representation-by-returning-reference-to-mutable-object-ei-expose-rep">EI_EXPOSE_REP</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#ms-field-isn-t-final-but-should-be-ms-should-be-final">MS_SHOULD_BE_FINAL</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#np-possible-null-pointer-dereference-np-null-on-some-path">NP_NULL_ON_SOME_PATH</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#np-possible-null-pointer-dereference-in-method-on-exception-path-np-null-on-some-path-exception">NP_NULL_ON_SOME_PATH_EXCEPTION</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#ms-field-should-be-package-protected-ms-pkgprotect">MS_PKGPROTECT</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#ms-field-is-a-mutable-collection-ms-mutable-collection">MS_MUTABLE_COLLECTION</a></li> <li><a href="https://spotbugs.readthedocs.io/en/stable/bugDescriptions.html#fi-finalizer-should-be-protected-not-public-fi-public-should-be-protected">FI_PUBLIC_SHOULD_BE_PROTECTED</a></li> </ul>
Data for: Multi-scale relationships in thermal limits within and between two cold-water frog species uncover different trends in physiological vulnerability
<ol> <li>Critical thermal limits represent an important component of an organism's capacity to cope with future temperature changes. Understanding the drivers of variation in these traits may uncover patterns in physiological vulnerability to climate change. Local temperature extremes have emerged as a major driver of thermal limits, although their effects can be mediated by the exploitation of fine-scale spatial variation in temperature through behavioral thermoregulation.</li> <li>Here, we investigated thermal limits along elevation gradients within and between two cold-water frog species (<em>Ascaphus</em> spp.), one with a coastal distribution (<em>A. truei</em>) and the other with a continental range (<em>A. montanus</em>). We quantified thermal limits for over 700 tadpoles, representing multiple populations from each species. We combined local temporal and fine-scale spatial temperature data to quantify local thermal landscapes (i.e., thermalscapes), including the opportunity for behavioral thermoregulation.</li> <li>Lower thermal limits for either species could not be reached experimentally reached without the water freezing, suggesting that cold tolerance is <0.3℃. In contrast, upper thermal limits varied among populations, but this variation only reflected local temperature extremes in <em>A. montanus</em>, perhaps due to greater variation in stream temperatures across its range. Lastly, we found minimal fine-scale spatial variability in temperature, suggesting limited opportunity for behavioral thermoregulation and thus increased vulnerability to warming for all populations.</li> <li>By quantifying local thermalscapes, we uncovered different trends in the relative vulnerability of populations across elevation for each species. In <em>A. truei</em>, physiological vulnerability decreased with elevation, whereas in <em>A. montanus</em>, all populations were equally physiologically vulnerable. These results highlight how similar environments can differentially shape physiological tolerance and patterns of vulnerability of species, and in turn, impact their vulnerability to future warming. </li> </ol>
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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.