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Controlled coherent dynamics of [VO(TPP)], a prototype molecular nuclear qudit with an electronic ancilla. Open data set
<p>Data supporting the original figures 2, 3, 4, 5, 6, 7, 8 of the related publication.</p>
Raw Data for Data Set of Publication on Detecting Violations of Access Control and Information Flow Policies in Data Flow Diagrams
<p>This data set contains the build script, software and intermedia results that we used to create the result data set for the publication "<a href="https://doi.org/10.1016/j.jss.2021.111138">Detecting Violations of Access Control and Information Flow Policies in Data Flow Diagrams</a>".</p>
Data set
<p><strong>Introduction</strong>: Mental health problems appear to be increasing in importance in Africa. Mental and substance use disorders were the leading cause of yearly lived with disability in Sub-Saharan Africa. Evidence from previous studies shows considerable variation in the prevalence of these disorders. The most acceptable explanation for this wide variation is likely to be the fact that socio cultural factors are major determinants of mental disorders. Therefore a mental disorder has to be understood in a specific setting to develop effective and tailored interventions</p> <p><strong>Objective</strong>: The objective of this study was to determine the prevalence and associated factors of common mental disorders among adult residents in Silte Zone, southern Ethiopia</p> <p><em><strong>Methods:</strong></em> Community based cross sectional the study was conducted in the study area. A total of 1178 adults were selected by using a three stage systematic sampling technique. Self-Reporting Questionnaire (SRQ-20) was used to determine the prevalence of common mental disorders. Data were analyzed by using SPSS version 20. Both bivariate and multiple logistic regression analyses were employed to identify factors associated with common mental disorders.</p> <p><strong>Result:</strong> The prevalence of common mental disorders among adults found to be 39.7%. Increased age (OR = 1.114; 95% CI = 1.095, 1.134), being female (OR = 9.421; 95% CI = 5.947, 14.926), poor social support (OR = 1.987; 95% CI = 1.358, 2.907) and having life threatening experience (OR = 2.162; 95% CI = 1.825, 2.562) were significantly associated with common mental disorders.</p> <p><strong>Conclusion:</strong> In the study, the magnitude of common mental disorders remains high in the study area. Increased age, being female, poor social support and having life threatening experience were significantly associated with common mental disorders.</p> <p><strong>Key words: </strong>Common mental disorders, self-reporting questionnaire, social support, Ethiopia</p>
Disease gene sets
<p>This file provides the risk genes for 14 diseases.</p>
Rotating shallow water flow under location uncertainty with a structure-preserving discretization -- Data set
<p>With this data set one can reproduce the figures in the manuscript "Rotating shallow water flow under location uncertainty with a structure-preserving discretization".</p> <p>The figures can be created with the following MATLAB scripts:</p> <p>Figure 3 - plot_contour_plane.m</p> <p>Figure 4 and 5 - plot_Energy_convergence.m</p> <p>Figure 6 - plot_sphere_snapshot.m</p> <p>Figure 7 - plot_contour_sphere.m</p> <p>Figure 8 - plot_specs.m</p> <p>Figure 9 - plot_spread.m</p> <p>Figure 10 - createhist.m</p> <p>Figure 11 - plot_MSB_MEV.m</p> <p> </p> <p> </p>
DNA metabarcoding data characterizing insectivorous diet of purple martins (Progne subis subis) using two COI primer sets (ANML and ZBJ)
<p>DNA metabarcoding is a molecular technique frequently used to characterize diet composition of insectivorous birds. However, results are sensitive to methodological decisions made during sample processing, with primer selection being one of the most critical. The most frequently used DNA metabarcoding primer set for avian insectivores is ZBJ. However, recent studies have found that ZBJ produces significant biases in prey classification that likely influence our understanding of foraging ecology. A new primer set, ANML, has shown promise for characterizing insectivorous bat diets with fewer taxonomic biases than ZBJ, but ANML is not yet widely used to study insectivorous birds. Here, we evaluate the ANML primer set for use in metabarcoding of avian insectivore diets through comparison with the more commonly used ZBJ primer set. Fecal samples were collected from both adult and nestling Purple Martins (<i>Progne subis subis</i>) at two sites in the USA and one site in Canada to maximize variation in diet composition and to determine if primer selection impacts our understanding of diet variation among sites. In total, we detected 71 arthropod prey species, 39 families, and 10 orders. Of these, 40 species were uniquely detected by ANML, whereas only 11 were uniquely detected by ZBJ. We were able to classify 54.8% of exact sequence variants from ANML libraries to species compared to 33.3% from ZBJ libraries. We found that ANML outperformed ZBJ for PCR efficacy, taxonomic coverage, and specificity of classification, but that using both primer sets together produced the most comprehensive characterizations of diet composition. Significant variation in both alpha- and beta-diversity between sites was found using each primer set separately and in combination. To our knowledge, this is the first published metabarcoding study to directly compare avian diet characterizations produced with both ANML and ZBJ primer sets.</p>
Data set showing the number of tail scars of North American and Eurasian beavers
<p><span>Intraspecific competition plays an important role for territory acquisition and occupancy, in turn affecting individual fitness. Thus, understanding the drivers of intraspecific aggression can increase our understanding of population dynamics. Here, we investigated intraspecific aggression in Eurasian (<i>Castor fiber</i>) and North American (<i>C. canadensis</i>) beavers that are both monogamous, territorial mammals. Combined, we examined tail scars from >1000 beavers (>2000 capture events) as part of two long-term studies in Norway and the USA. We investigated the influence of landscape structure, population density, sex, age, and (for Eurasian beavers only) social status and group size on the number of tail scars caused by conspecifics. The number of tail scars was affected by population density in well-connected landscape types (large lakes and rivers), but not in more isolated areas (ponds), where individuals generally had fewer tail scars. Further, the relationship of population density was not linear. In the North American beaver population occurring in large lakes, intraspecific aggression increased with population density. Conversely, in the saturated Eurasian beaver population, intraspecific aggression was in a negative relationship with population density (except at the highest densities), likely due to inverse density-dependent intruder pressure via dispersers. Our findings emphasize that population density can affect intraspecific aggression depending on landscape structure, which might have important consequences for local patterns of dispersal, mate change and territory occupancy, all of which can affect population dynamics.</span></p>
Figure 2 from: Amori G, Aloise G, Luiselli L (2014) Modern analyses on an historical data set: skull morphology of Italian red squirrel populations. ZooKeys 368: 79-89. https://doi.org/10.3897/zookeys.368.4691
Figure 2 - PCA of skull measurements (VARIMAX rotation applied) based on Cavazza's (1913) dataset. Eigenvalues: component 1 = 2.559; component 2 = 1.099.
Figure 1 from: Amori G, Aloise G, Luiselli L (2014) Modern analyses on an historical data set: skull morphology of Italian red squirrel populations. ZooKeys 368: 79-89. https://doi.org/10.3897/zookeys.368.4691
Figure 1 - Map of Italy showing the localities where squirrels were collected according to Cavazza (1913). 1 Porlezza 2 Lanzo 3 Central Alps 4 Alpi Piemontesi 5 Biellese 6 Lugano 7 Bassano del Grappa 8 Buggiolo 9 Lombardia 10 Emilia 11 Tuscany 12 Liguria 13 Neapolitan (Campania) 14 Calabria.
Figure 3 from: Amori G, Aloise G, Luiselli L (2014) Modern analyses on an historical data set: skull morphology of Italian red squirrel populations. ZooKeys 368: 79-89. https://doi.org/10.3897/zookeys.368.4691
Figure 3 - Neighbor joining dendrogram of skull measurements (with 10,000 bootstraps) based on Cavazza's (1913) dataset.
Figure 7 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 7 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 77 pictures, aligned and combined with PMax B Stack of 44 pictures, aligned and combined with PMax The individual pictures of both stacks are made with the Leica Z6 APO with DFC290 and Manfrotto led light system.
Figure 9 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 9 - A 3D model of a Dicranorrhina sp. beetle. The left pictures (A, C) represent the 3D model with its texture, while the right pictures (B, D) are from the model with the mesh only and show the level of detail of the 3D model made in Agisoft Photoscan.
Figure 8 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 8 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 74 pictures, aligned and combined with PMax B Stack of 41 pictures, aligned and combined with PMax. The individual pictures of both stacks are made with the Canon-Cognisys set-up and double flash lights.
Figure 5 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 5 - The results of the different stacking methods in Zerene Stacker, each with a detail of a hairy leg and a part of the head with hairs. A, B details of the stack pictures by the PMax method C, D details of the stacked picture with the DMap method.
Figure 4 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 4 - The results of the different stacking methods in Helicon Focus: each stacking option is provided with a detail of a hairy leg and a part of the head with hairs. A, B result of Method A (average) C, D result of Method B (depth) E, F result of Method C (pyramid).
Figure 6 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 6 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 70 pictures, aligned and combined with PMax B Stack of 41 pictures, aligned and combined with PMax. The individual pictures of both stacks are made with the Leica MZ16A with DFC500 camera and Leica KL 1500 LCD lights.
Figure 3 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 3 - The results of the different stacking methods in CombineZP: each stacking option is provided with a detail of a hairy leg and a part of the head with hairs. A, B details of the stack pictures by the Do Stack method C, D details of the stacked picture with the Do Soft Stack E, F details of the Do Weighted Stack method G, H details of the combined pictured with the Pyramid Weighted method I, J details of the stacked image with the Pyramid Do stack method K, L Details of the Stacked image with the Pyramoid Maximum Contrast method.
Figure 1 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 1 - The Canon-Cognisys set-up at the RBINS. The Canon 600D Camera, equipped with a Canon MP-E 65 mm 1:2.8 1–5× Macro Photo Lens, is mounted on the vertically positioned StackShot (Cognisys inc.). In the Ikea closet, at the bottom, you see the two Yongnuo YN560II speedlites positioned frontally and above is the plexiglas fig covered with paper to position the specimen.
Figure 2 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 2 - The results of the different stacking methods in Auto-Montage: each stacking option is provided with a single picture which is reduced in size by the Auto-Montage software itself and imprinted with watermarks. A represents the Blended Stacking option B picture composed by the Compound Weighted method C picture stacked by the Exponentially Weighted option D picture composed by the Fixed method and E picture stacked by the Weighted method.
Figure 7 from: Meyers-Muñoz MA, van der Velde G, van der Meij SET, Stoffels BEMW, van Alen T, Tuti Y, Hoeksema BW (2016) The phylogenetic position of a new species of Plakobranchus from West Papua, Indonesia (Mollusca, Opisthobranchia, Sacoglossa). ZooKeys 594: 73-98. https://doi.org/10.3897/zookeys.594.5954
Figure 7 - a Dorsal view of a preserved Plakobranchus papua showing white dots surrounded by a yellow outline. b Preserved Plakobranchus ocellatus, ocellated spots with dark pigment surrounded by a white ring, some with a black ring (arrowed). c Plakobranchus ocellatus, dorsal view of a live animal (Cebu, Philippines, 1999, photo BWH). Plakobranchus ocellatus, (d) dorsal view and (e) ventral view of preserved animal. Scale bars: a, b = 5 mm, c–e = 10 mm.
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.