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7,378 results for “case”
FIGURE 42 in The enigmatic case of the genus Argyresthia in the Azores Islands (Lepidoptera Argyresthiidae)
FIGURE 42. Neighbor joining tree for COI barcode sequences of selected Argyresthia including the species from Azores. Node support estimated with 1000 bootstrap replicates using Kimura2 model. Values lower than 50 are not represented. Scale bar indicates 0.8% sequence divergence. Forewings of the specimens are displayed on the right side of the plate.
FIGURES 38–41 in The enigmatic case of the genus Argyresthia in the Azores Islands (Lepidoptera Argyresthiidae)
FIGURES 38–41. Scanning electron microscope images of the phallus of A. brumella sp. n. 38. General view, right side. 39 Denticles. 40. Spiniform teeth on vesica. 41. Vesica. Scale bars 38 = 100 μm, 39 = 30 μm, 40 = 10 μm, 41 = 50 μm.
FIGURES 9–23 in The enigmatic case of the genus Argyresthia in the Azores Islands (Lepidoptera Argyresthiidae)
FIGURES 9–23. Forewing pattern variability of A. atlanticella (9–20) and A. brumella sp. n. (21–23). 9. ♀, Pico, above São Caetano. 10. ♂, Graciosa, 3km NW Praia de São Mateus. 11. ♀, Santa María,Vila do Porto. 12. ♀, Flores, Fajã Grande. 13. ♂, Graciosa, 3km NW Praia de São Mateus. 14. ♂, Santa María, Malbusca. 15. ♂, Pico, 5km NW Lajes do Pico. 16. ♂, Santa María, Pico Alto. 17. ♂, São Miguel, Serra da Tronquiera. 18. ♀, Pico, 5km NW Lajes do Pico. 19. ♀, Graciosa, 3km NW Praia de São Mateus. 20. ♀, Flores, 3km WNW Lajes das Flores. 21. ♀, Terceira, Santa Barbara. 22. ♂, Terceira, Santa Barbara. 23. ♂, Terceira, Santa Barbara. Scale bars 9–20 = 1mm, 21–23 = 3mm.
Complete tag loss in capture-recapture studies affects abundance estimates: an elephant seal case study
<p>1. In capture-recapture studies, recycled individuals occur when individuals lose all of their tags and are recaptured as though they were new individuals. Typically, the effect of these recycled individuals is assumed negligible.</p> <p>2. Through a simulation-based study of double tagging experiments, we examined the effect of recycled individuals on parameter estimates in the Jolly-Seber model with tag loss (Cowen & Schwarz, 2006). We validated the simulation framework using long-term census data of elephant seals.</p> <p>3. Including recycled individuals did not affect estimates of capture, survival, and tag-retention probabilities. However, with low tag-retention rates, high capture rates, and high survival rates, recycled individuals produced over estimates of population size. For the elephant seal case study, we found population size estimates to be between 8 and 53% larger when recycled individuals were ignored.</p> <p>4. Ignoring the effects of recycled individuals can cause large biases in population size estimates. These results are particularly noticeable in longer studies.</p>
The case of a southern European glacier disappearing under recent warming that survived Roman and Medieval warm periods
<p>We upload there the dataset needed to build up the chronological model of the ice core presented in the discussion paper <a href="https://www.the-cryosphere-discuss.net/tc-2020-107/">"The case of a southern European glacier disappearing under recent warming that survived Roman and Medieval warm periods" </a>.</p> <p>The readme pdf file presents the methods to create such an age-depth model using the package CLAM v2.2 (Blaauw, 2010) and the settings chose to run it.</p>
Data from: Clinical management and mortality among COVID-19 cases in sub-Saharan Africa: a retrospective study from Burkina Faso and simulated case analysis.
<p>Absolute numbers of COVID-19 cases and deaths reported to date in the sub-Saharan Africa (SSA) region have been relatively low. As a result, there has been limited investigation into deceased cases in the region, as well as the impacts of different case management strategies. We detail demographic, epidemiological, and clinical information derived from publicly available information on deceased cases in SSA and, for cases in Burkina Faso, from aggregate records at the Center Hospitalier Universitaire de Tengandogo. Logistic regression was conducted on a synthetic case population to evaluate the adjusted odds of survival for patients receiving oxygen therapy or convalescent plasma, based on therapeutic effectiveness observed for other respiratory illnesses. Across SSA, deceased cases have been predominantly male and over 50 years of age. After adjustment for sex, age, and underlying conditions, the odds of mortality among cases in the synthetic population not receiving oxygen therapy was significantly higher than those receiving oxygen (OR: 2.07; 95%CI: 1.56-2.75). Cases receiving convalescent plasma had 50% reduced odds of mortality (95%CI: 0.24-0.93).<b> </b>Investment in sustainable oxygen therapy could reduce COVID-19 deaths in SSA. Ongoing investigation into convalescent plasma is warranted, as data on its effectiveness specifically in treating COVID-19 becomes available.</p>
An Approach for Traceability Recovery between Bug Reports and Test Cases
<p>Scripts and data sets used in research for <em>An Approach for Traceability Recovery between Bug Reports and Test Cases</em>.</p> <p><em><strong>(Context)</strong></em> Automatic traceability recovery between software artifacts may promote early detection of issues.<br> Information Retrieval (IR) techniques have been proposed for the task, but they differ considerably in terms of input parameters and results. It is difficult to assess results when those techniques are applied in isolation, usually in small or medium-sized software projects. Also, an overview would be more comprehensive if a Deep Learning (DL) based technique is applied, in comparison with traditional IR techniques.<br> <em><strong>(Objective)</strong></em> We propose an approach to recover traceability links between bug reports and test cases, which can be instantiated with a set of IR and DL techniques.<br> <em><strong>(Method)</strong></em> For applying and evaluating our solution, we used historical data from the Mozilla Firefox quality assurance (QA) team, on which we assessed the following IR techniques: LSI, LDA, and BM25. We also experimented with a DL architecture called Convolutional Neural Networks (CNNs) through the use of Word Embeddings.<br> <em><strong>(Results)</strong></em> In this context of traceability, we noticed poor performances from three out of the four studied techniques. Only the LSI technique was effective, even standing out over the state-of-the-art BM25 technique.<br> <em><strong>(Conclusions)</strong></em> The obtained results suggest that the semi-automatic application of the LSI technique -- with an appropriate combination of thresholds -- is feasible for real-world software projects.</p>
RIBuild: Survey of historic building stock - with case studies on renovation
<p>Database prepared in Excel including four elements, as background information for RIBuild Deliverable D1.1 about the historic building stock:</p> <p>Historic buildings stock energy consumption (1)</p> <p>Historic building stock description (2)</p> <p>Building construction elements (3)</p> <p>Case studies (4)</p> <p>Element (1)-(3) are referring to the historic building stock in RIBuild partner countries in general, while element (4) contains examples of carried out renovation projects, involving internal insulation of a historic building.</p> <p>If available, the case study sheets contain information about the floor area, present use, the building envelope (thickness, materials), renovation history, pre- and post-energy usage and renovation cost. Further, information about typical defects and the main driving forces for the renovation project, planning or design tools used, whether the goal with the renovation was achieved and the satisfaction of the users.</p> <p>Overview of data files to be found in 'RIBuild data WP1' as part of this dataset.</p>
RIBuild: Measurements at case buildings with internal insulation (DK, LV, IT)
<p>Dataset consisting of measurement data at specific locations in Danish, Latvain and Italian cases; one file for each measuring point. Data consists mainly of temperature and relative humidity, but in some cases also heat flow or volumetric water content, or wind speed, wind direction and solar radiation.</p> <p>This dataset together with data from German case buildings (separate data set) form the basis for recommendations concerning the use of different internal insulation systems, reported in RIBuild deliverable D3.2. Further, the dataset was intended as input for validation of simulations performed with RIBuild web tool.</p> <p>Overview of data files to be found in ’RIBuild data WP3_DK LV IT case buildings’ as part of this dataset.</p> <p>Details about case buildings are described in RIBuild deliverable D3.2 available at www.ribuild.eu.</p> <p> </p>
RIBuild: Energy saving potential, LCA and LCC - case studies
<p>Data set from</p> <p>(1) Danish, Latvian and Italian desk-top case studies on energy saving potential, including description and output from building simulation using national simulation tools, referring to RIBuild Task 5.1.</p> <p>(2) LCA and LCC analyses on Italian case study, referring to RIBuild Task 5.2 and 5.3.</p> <p>Overview of data files to be found in ’RIBuild data WP5 Case studies’ as part of this dataset.</p> <p>Further details to be found in RIBuild deliverable D5.1 (Task 5.1 and 5.2) and D5.2 (Task 5.3).</p>
FIGURE 5 in Rectifying the identities of the males of two Micrathena species (Araneae Araneidae), with report of the first case of intersexuality in the genus
FIGURE 5. Micrathena ruschii, intersexual individual from Brazil, Rio de Janeiro, Macaé (MACN-Ar 41529, IFM-1948 voucher). A, habitus, ventral. B, anterior legs and carapace, subanterior. C, ventral. D, palps, dorsal view. E, right palp, sublateral. F, genital opening, ventral. Scale bars, 1 mm (A–C); 0.5 mm (D); 0.1 mm (E–F).
FIGURES 75–86 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 75–86. Morphological variations in phallic sclerites of new species of Endecous. 75–77, 81–83. Endecous (Pedroecous) didymus n. sp. (ISLA 43329, 43336* and 43338) in dorsal and dorsal view tilted posteriorly, respectively. 78–80, 84–86. Endecous (Pedroecous) troglobius n. sp. (ISLA 77745; 43342* and 77746) in dorsal and dorsal view tilted posteriorly, respectively. Legend: dashed red line indicates the internal angle average of the pseudepiphallic dorsal branch; the angle was calculate in ventral view, from the basal distance of the extension of the Ps.db with respect to the apical portion; blue slice indicate the area (mm²) of pseudepiphallic arm "field", calculated in dorsal view, inclined posteriorly; *phallic complex used in description of new species.
FIGURES 35–40 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 35–40. Chromosomes of Endecous (Pedroecous) didymus n. sp. and Endecous (Pedroecous) troglobius n. sp. 35–Karyotype of E. (P.) didymus n. sp.; 36–Karyotype of E. (P.) troglobius n. sp.; 37–40. E. (P.) didymus n. sp. cell meiosis, 37–Initial Diplotene; 38–Diplotene; 39–Metaphase I; 40–Spermatogonial metaphase (polar view). Conventions: arrow indicate secondary constriction in bivalent pair 1; X=sexual chromosome; bar beside chromosome 6 indicates that the homologue was not found.
FIGURES 56–59 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 56–59. Endecous (Pedroecous) troglobius n. sp. holotype's legs morphology. 56–leg III, subapical and apical spurs, outer view; 57–leg III, subapical and apical spurs, inner view; 58–leg I (outer view) and leg II (outer view, little spur (λ) apex of the tibia); 59–leg I (inner view and tympanum), and leg II (inner view, little spur (μ) apex of the tibia).
FIGURES 16-19 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 16-19. Endecous (Pedroecous) didymus n. sp. holotype's legs morphology. 16–leg III, subapical and apical spurs, outer view; 17–leg III, subapical and apical spurs, inner view; 18–leg I (outer view) and leg II (outer view, little spur (λ) apex of the tibia); 19–leg I (inner view and tympanum) and leg II (inner view, little spur (μ) apex of the tibia).
FIGURES 8-15 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 8-15. Endecous (Pedroecous) didymus n. sp. holotype morphology. 8–9, head in front, lateral and dorsal view, respectively; 10–pronotum, dorsal view; 11–right tegmen, dorsal view; 12–right tegmen and pronotum, lateral view; 13–subgenital and supranal plate, phallic sclerite, lateral view; 14–subgenital plate, ventral view; 15–supranal plate, dorsal view. Conventions: m., mirror; h., harp; b.f., basal field; l.f., lateral field.
FIGURE 1 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURE 1 (A and B). (A) Type locality of Endecous species from South America (excepting Minas Gerais State); (B) Type locality of Endecous species from Minas Gerais State. (*) Uncertain locality, possibly between the border between the States of Minas Gerais and Bahia, described for the first time as "Sierra Geral".
FIGURES 20–25 in New troglobitic and troglophilic syntopic species of Endecous (Orthoptera, Grylloidea, Phalangopsidae) from a Brazilian cave: a case of sympatric speciation?
FIGURES 20–25. Right tegmen of Endecous (Pedroecous) didymus n. sp. in dorsal and lateral view. 20–holotype (ISLA 43330); 21–paratype (ISLA 15696); 22–paratype (ISLA 15697); 23–paratype (ISLA 43329); 24–paratype (ISLA 43336) and 25–paratype (ISLA 43338).
Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf
<p>Projections of climate change impacts on living resources are being conducted frequently, and the goal is often to inform policy. Species projections will be more useful if uncertainty is effectively quantified. However, few studies have comprehensively characterized the projection uncertainty arising from greenhouse gas scenarios, Earth system models, and both structural and parameter uncertainty in species distribution modeling. Here we conducted 8964 unique 21st century projections for shifts in suitable habitat for seven economically important marine species including American lobster, Pacific halibut, Pacific ocean perch, and summer flounder. For all species, both the Earth system model used to simulate future temperatures and the niche modeling approach used to represent species distributions were important sources of uncertainty, while variation associated with parameter values in niche models was minor. Greenhouse gas emissions scenario contributed to uncertainty for projections at the century scale. The characteristics of projection uncertainty differed among species and also varied spatially, which underscores the need for improved multi-model approaches with a suite of Earth system models and niche models forming the basis for uncertainty around projected impacts. Ensemble projections show the potential for major shifts in future distributions. Therefore, rigorous future projections are important for informing climate adaptation efforts.</p>
Data from: A comprehensive and cost-effective approach for investigating passive dispersal in minute invertebrates with case studies of phytophagous eriophyid mites
<p><strong>Filename: </strong>1_wcm_wheat_wind_.vector.xlsx</p> <p>Variables:</p> <p>1. Variant - experimental approach: W- wind tunnel; V - vector tunnel <br> 2. N - population size on the source patch<br> 3. D - number of individuals that left the source patch<br> 4. C - population size on the target patch after several generations</p> <p> </p> <p><strong>Filename: </strong>2_wcm_brome_wind_.xlsx</p> <p>Variables:</p> <p>1. N - population size on the source patch<br> 2. D - number of individuals that left the source patch<br> 3. C - population size on the target patch after several generations</p> <p> </p> <p><strong>Filename: 3</strong>_wheat_brome_dispersal_rate.xlsx</p> <p>Variables:</p> <p>1. Host - host plant species: Brome - smooth brome (<em>Bromopsis inermis</em>); Wheat - common wheat (<em>Triticum </em>aestivum)<br> 2. N - population size on the source patch<br> 3. D - number of individuals that left the source patch</p> <p> </p> <p><strong>Filename: 4</strong>_wcm_crm_dispersal_rate.xlsx</p> <p>Variables:</p> <p>1. Species - eriophyid mite species: WCM - wheat curl mite; CRM - cereal rust mite<br> 2. N - population size on the source patch<br> 3. D - number of individuals that left the source patch</p>
ScienceDex guides
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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.