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226 results for “equalizing”
Figure 12. Placoid scales. A–D, morphotype 1. A–B, A, occlusal view. B, lateral view. C–D, C, occlusal view. D, lateral view. E–H, morphotype 2. E, occlusal view. F, lateral view. G, posterior view. H, anterior view. I–L, morphotype 3. I, occlusal view. J, lateral view. K, posterior. L, anterior. M–P, morphotype 4. M, occlusal view. N, lateral view. O, posterior view. P, anterior view. Q–U, morphotype 5. Q, occlusal view. R, lateral view. S, lateral view. T, posterior view. U, anterior view. V–Y, morphotype 6. V, anterior view. W, lateral view. X, occlusal view. Y, posterior view. All scale bars equal 0.5 in Neoselachians (Chondrichthyes, Elasmobranchii) from the Lower and lower Upper Cretaceous of north-eastern Spain
Figure 12. Placoid scales. A–D, morphotype 1. A–B, A, occlusal view. B, lateral view. C–D, C, occlusal view. D, lateral view. E–H, morphotype 2. E, occlusal view. F, lateral view. G, posterior view. H, anterior view. I–L, morphotype 3. I, occlusal view. J, lateral view. K, posterior. L, anterior. M–P, morphotype 4. M, occlusal view. N, lateral view. O, posterior view. P, anterior view. Q–U, morphotype 5. Q, occlusal view. R, lateral view. S, lateral view. T, posterior view. U, anterior view. V–Y, morphotype 6. V, anterior view. W, lateral view. X, occlusal view. Y, posterior view. All scale bars equal 0.5 mm.
Reproduction package for the paper "Forming equal mass planetary binaries via pebble accretion"
<p>This is a basic reproduction package for the paper "Forming equal mass planetary binaries via pebble accretion" by T.J. Konijn et al.</p>
Aggregated data issued from the JOBIM 2021 'Gender equality observational study'
<p>JOBIM 2021 Gender analysis</p> <p>This repository contains data and script related to our observation study of gender impact on asking behavior during JOBIM 2021. In agreement with our <a href="https://research.pasteur.fr/en/project/jobim-2021-pilot-project-gender-speaking-differences-in-academia/">data policy and RGPD regulations</a>, only aggregated, anonymous and/or publicly available information are posted in this repository. Zoom exports, registration survey and observation files containing names of askers and their accompanying scripts remains private.</p> <p>Citation</p> <p>If you wish to use our data please cite our manuscript: .https://www.biorxiv.org/content/10.1101/2022.03.07.483337v3</p>
Efficacy and Safety of Indacaterol Acetate Delivered Via the Concept1 Inhalation Device in Children Greater or Equal to 6 and Less Than 12 Years of Age With Asthma
ClinicalTrials.gov study NCT02892019. IPD Sharing: UNDECIDED. Countries: 11. Publications: 1.
Sexual (in)equality? A meta-analysis of sex differences in thermal acclimation capacity across ectotherms
Open the record for dataset details and reuse information.
Data from: Dunnock social status correlates with sperm speed, but fast sperm does not always equal high fitness
<p>Sperm competition theory predicts that males should modulate sperm investment according to their social status. Sperm speed, one proxy of sperm quality, also influences the outcome of sperm competition because fast sperm cells may fertilize eggs before slow sperm cells. We evaluated whether the social status of males predicted their sperm speed in a wild population of dunnocks (<em>Prunella modularis</em>). In addition to the traditional analysis of the average speed of sperm cells per sample, we also analyzed subsamples of the fastest sperm cells per sample. In other words, we systematically evaluated the effects of including different numbers of the fastest sperm in our analyses, ranging from the 5-fastest sperm cells to the 100-fastest sperm cells in a sample. We further evaluated whether fitness, defined here as the number of chicks sired per male per breeding season, relates to the sperm speed in the same population. We found that males in monogamous pairings (i.e. low levels of sperm competition), produced the slowest sperm cells whereas subordinate males in polyandrous male-male coalitions, (i.e. high levels of sperm competition), produced the fastest sperm cells. This result was consistent regardless of the number of fastest sperm included in our analyses, but statistical support was conditional on the number of sperm cells included in the analysis. Interestingly, we found no significant relationship between fitness and sperm speed, which suggests that it is possible that the differential mating opportunities across social status leveled out any possible difference. Our study also suggests that it is important to identify biologically meaningful subsets of fastest sperm and cutoffs for inclusions for assessing sperm competition via sperm speed</p>
Figure 7. - Palaemonyuna sp. n. Figure a holotype; figures b–n paratype (CCDB 4866, male, CL 5.5 mm). a anterior part of the carapace b right eye, dorsal view c left scaphocerite, ventral view d left mandible, ventral view e left maxillula, ventral view f left maxilla, ventral view g left second maxilliped, ventral view h left first maxilliped, ventral view i left first maxilliped, dorsal view j right third maxilliped, ventro-lateral view k right second pereiopod, ventro-lateral view l right first pereiopod, ventro-lateral view m right first chela, mesial view n right second chela, mesial view. Scale bar: a, c, k equal to 1 mm; others equal to 0.5 mm.
Figure 7. - Palaemonyuna sp. n. Figure a holotype; figures b–n paratype (CCDB 4866, male, CL 5.5 mm). a anterior part of the carapace b right eye, dorsal view c left scaphocerite, ventral view d left mandible, ventral view e left maxillula, ventral view f left maxilla, ventral view g left second maxilliped, ventral view h left first maxilliped, ventral view i left first maxilliped, dorsal view j right third maxilliped, ventro-lateral view k right second pereiopod, ventro-lateral view l right first pereiopod, ventro-lateral view m right first chela, mesial view n right second chela, mesial view. Scale bar: a, c, k equal to 1 mm; others equal to 0.5 mm.
Figure 8. - Palaemonyuna sp. n. Figures i and m holotype; figures a–e, g, h, j–l paratype (CCDB 4866, male, CL 5.5 mm); figure f paratype (CCDB 4866, female, CL 5.5 mm). a left third pereiopod, lateral view b left fourth pereiopod, lateral view c distal portion of the left fifth pereiopod, lateral view d left fifth pereiopod, lateral view e left first pleopod, posterior view f left first pleopod, posterior view g left second pleopod, posterior view h left appendix masculina and appendix interna, posterior view i right posterior part of the abdomen, lateral view j pre-anal fig, ventral view k telson and uropods, dorsal view l distal part of the telson, dorsal view m left distal portion of the exopod of the uropod, dorsal view. Scale bar: a, b, d–g, i, k equal to 1 mm; c, j, m equal to 0.5 mm; h, l equal to 0.25 mm.
Figure 8. - Palaemonyuna sp. n. Figures i and m holotype; figures a–e, g, h, j–l paratype (CCDB 4866, male, CL 5.5 mm); figure f paratype (CCDB 4866, female, CL 5.5 mm). a left third pereiopod, lateral view b left fourth pereiopod, lateral view c distal portion of the left fifth pereiopod, lateral view d left fifth pereiopod, lateral view e left first pleopod, posterior view f left first pleopod, posterior view g left second pleopod, posterior view h left appendix masculina and appendix interna, posterior view i right posterior part of the abdomen, lateral view j pre-anal fig, ventral view k telson and uropods, dorsal view l distal part of the telson, dorsal view m left distal portion of the exopod of the uropod, dorsal view. Scale bar: a, b, d–g, i, k equal to 1 mm; c, j, m equal to 0.5 mm; h, l equal to 0.25 mm.
Not all Heterogeneity is Equal: Length Scale of Frictional Property Variation as a control on Subduction Megathrust Sliding Behavior
<p>The folder SSS_Results.zip contains the following files:</p> <p>1) A .txt for each simulation that contains (1st column) simulated timestep in seconds; (2nd column) maximum slip velocity at each timestep in m/s; and (3rd column) maximum slip velocity taken from the center of the velocity-strengthening blocks in m/s at each time step.</p> <p>2) A .mat file for each simulation that contains the same output as the .txt file, and in addition a MATLAB structure 'p' that serves as an input file to run each simulation using RSFaultZ, found at <a href="https://github.com/rmskarbek/RSFaultZ">https://github.com/rmskarbek/RSFaultZ</a></p> <p>3) PartialStabilityData.mat - results from linear stability analysis.</p> <p>4) ReducedArchiveData.m, SSS_Fig3.m, SSS_Fig4.m - Three MATLAB scripts that will automatically generate figures 3 and 4 in the related paper. </p> <p>NOTE: SSS_Fig3.m uses a perceptually uniform color map that requires an additional MATLAB package: <a href="https://www.mathworks.com/matlabcentral/fileexchange/68546-crameri-perceptually-uniform-scientific-colormaps">https://www.mathworks.com/matlabcentral/fileexchange/68546-crameri-perceptually-uniform-scientific-colormaps</a></p> <p>For any additional information please do not hesitate to contact the corresponding author Rob Skarbek at rskarbek@psi.edu.</p> <p>Additional MATLAB scripts that will reproduce the simulations themselves can be found at <a href="https://github.com/rmskarbek/RSFaultZ/tree/main/examples/blocks">https://github.com/rmskarbek/RSFaultZ/tree/main/examples/blocks</a></p>
Equal armed brooch, Bj 620, Birka
Equal armed brooch made of bronze from grave Bj 620, Birka http://historiska.se/upptack-historien/object/555948 Source: Objaverse 1.0 / Sketchfab
FIGURE 3. SHSU 1-236, distal rib fragment. Scale bar equals 2 in First fossil manatees in Texas, USA: Trichechus manatus bakerorum from Pleistocene beach deposits along the Gulf of Mexico
FIGURE 3. SHSU 1-236, distal rib fragment. Scale bar equals 2 cm.
Data from: The abundance and distributional (in)equalities of forageable street tree resources in Lagos Metropolis, Nigeria
<p>Foraging for wild resources links urban citizens to nature and biodiversity while providing resources important for local livelihoods and culture. However, the abundance and distributional (in)equity of forageable urban tree resources have rarely been examined. Consequently, this study assessed the abundance of forageable street trees and their distribution in Lagos metropolis, Nigeria. During a survey of 32 randomly selected wards across 16 local government areas (LGAs) in the metropolis, 4,017 street trees from 46 species were enumerated. The LGA with the highest number of street trees was Ikeja, with 818 trees, while Lagos Island had the lowest count, with two trees. This disparity in tree numbers could be attributed to variations in human population density within each LGA. Ninety-four percent of the street trees surveyed had at least one documented use and 76 % had two, and thus were potentially forageable. However, the most common species had relatively low forageability scores. Only 5.6 % of the total street tree population was rated as highly forageable, with a usability score of at least 11 out of 15. The most forageable street trees were fruit trees and non-native species. The forageable street trees in the LGAs showed a significant disparity in their distribution, as evidenced by a Gini coefficient of 0.81. Overall, richer neighbourhoods had a higher street tree abundance, richness, and forageability potential. To meet greening and foraging goals and address the current inequitable distribution, we suggest allocating more funds for greening, particularly in low-income neighbourhoods. Further research should evaluate forageable species from other sites to acquire a detailed understanding of the distribution and abundance of forageable resources in Lagos metropolis.</p>
Supplementary Data for Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting
<p>This data repository is provided as a supplement to the paper *Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting* written by Håvard Heitlo Holm, Martin Lilleeng Sætra and Peter Jan van Leeuwen. It contains the complete datasets (initial conditions and results of the ensemble simulations) obtained from the experiments presented therein.</p> <p>This data set is generated by, and can be further post-processed and visualized by, the code published as *metno/gpu-ocean: Supplementary Software for Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting* by Håvard Heitlo Holm, Martin Lilleeng Sætra and André Rigland Brodtkorb (DOI 10.5281/zenodo.3458291). </p> <p> </p>
FIGURE 1. Penthetria species undetermined, photograph under isopropanol. Scale bar equals 2 in The first fossil insect from the deep-water marine Early Miocene of Zillerleite, Germany (Diptera: Bibionidae)
FIGURE 1. Penthetria species undetermined, photograph under isopropanol. Scale bar equals 2 mm.
EQual Rubric Tool
<p>The EQual Rubric Tool supports the quality evaluation of Entrustable Professional Activities, as described in Taylor DR, Park YS, Egan R, Chan M-K, Karpinski J, Touchie C, et al. EQual, a novel rubric to evaluate entrustable professional activities for quality and structure. Acad Med. 2017;92:S110–7.</p> <p>Note that a password is needed to open this Excel tool: "EQual"</p>
2024q1 Binary black hole initial data: equal-mass, nonspinning, quasicircular
<p>Binary black hole initial data with equal masses and no spins on a circular orbit. Generated with the SpECTRE code (https://spectre-code.org), version <span>2024.09.16.</span></p>
Optical traits perform equally well as directly-measured functional traits in explaining the impact of an invasive plant on litter decomposition
<p>1. Functional traits can help elucidate and predict the impact of invasive plant species on ecosystem functioning. Yet, this approach requires comprehensive and labor-intensive trait collection campaigns, covering intraspecific trait variation of both the invader and native species in the invaded community. One potential way to overcome these logistic constraints is using hyperspectral remote sensing technology to efficiently quantify functional trait values. Although such spectrally derived or 'optical' traits are known to closely link to directly-measured functional traits, little research has explored how well these optical traits perform in assessing invader-induced ecosystem impact. 2. Here, we explored the trait-mediated impact of the invasive Rosa rugosa on litter decomposition and evaluated whether optical traits perform equally well as directly-measured traits in predicting litter decomposition variation. We collected data on species-specific functional traits, leaf hyperspectral reflectance and standardized 'tea bag index' litter decomposition across 25 invaded and 25 uninvaded coastal grassland plots. The selected traits were all potentially related to litter decomposition and covered the leaf economics spectrum, additional leaf structural components and competitive ability. Optical traits were quantified through a combination of a physical radiative transfer model inversion and vegetation indices calculations. 3. Invasion significantly increased the stabilization factor, i.e. the amount of resulting recalcitrant litter. Invader impact on litter decomposition could be entirely explained by changes it induced in the functional traits of the native community, rather than by the invader's traits itself. More specifically, the invader pushed the invaded community towards traits associated with high litter quality. Optical traits performed equally well as directly-measured traits in explaining the invasion impact on the stabilization factor (R2= 41.9% vs. 38.5%). Furthermore, the interpretation of the results based on optical traits resulted in a similar functional understanding of the invader impact. 4. Synthesis: Our results indicate the potential of hyperspectral data to explain changes in ecosystem functioning. The combination of radiative transfer models and vegetation indices allowed to extract all relevant trait information from the hyperspectral data. This framework thus presents a practical short-cut to assess relevant leaf traits, requiring only a limited amount of field trait measurements.</p>
Carbon dioxide removal technologies are not born equal
<p>Update of datasets generated and analysed in this study and R script for producing figures from the main text and the SI. This update does not change any results, it is only to match the scenario names and variable categories as they have been uploaded to the AR6 database.</p> <p>We also provide additional data.</p>
Dental mesowear and microwear raw data for Cervus elaphus, Rupicapra pyrenaica and Sus scrofa from Balma del Gai; and the ANOVA - test for equal means
<p>Quantitative data for the dental microwear and mesowear analyses on <em>Cervus elaphus</em>, <em>Rupicapra pyrenaica </em>and <em>Sus scrofa</em> from the Epipalaeolithic sequence of Balma del Gai (Moià, Spain). And the ANOVA - Test for equal means.</p>
Data for: Prey resources are equally important as climatic conditions for predicting the distribution of a broad-ranged apex predator
<p>Aim: A current biogeographic paradigm states that climate regulates species distributions at continental scales and that biotic interactions are undetectable at coarse-grain extents. However, advances in spatial modelling show that incorporating food resource distributions are important for improving model predictions at large distribution scales. This is particularly relevant to understand the factors limiting distribution of widespread apex predators whose diets are likely to vary across their range.</p> <p>Location: Neotropical Central and South America</p> <p>Methods: The harpy eagle (<em>Harpia harpyja</em>) is a large raptor, whose diet is largely comprised of arboreal mammals, all with broad distributions across Neotropical lowland forest. Here, we used a hierarchical modelling approach to determine the relative importance of abiotic factors and prey resource distribution on harpy eagle range limits. Our hierarchical approach consisted of the following modelling sequence of explanatory variables: (a) abiotic covariates, (b) prey resource distributions predicted by an equivalent modelling for each prey, (c) the combination of (a) and (b), and (d) as in (c) but with prey resources considered as a single prediction equivalent to prey species richness.</p> <p>Results: Incorporating prey distributions improved model predictions but using solely biotic covariates still resulted in a high performing model. In the Abiotic model, Climatic Moisture Index (CMI) was the most important predictor, contributing 76 % to model prediction. Three-toed sloth (<em>Bradypus</em> spp.) was the most important prey resource, contributing 64 % in a combined Abiotic-Biotic model, followed by CMI contributing 30 %. Harpy eagle distribution had high environmental overlap across all individual prey distributions, with highest coincidence through Central America, eastern Colombia, and across the Guiana Shield into northern Amazonia. </p> <p>Main conclusions: With strong reliance on prey distributions across its range, harpy eagle conservation programs must therefore consider its most important food resources as a key element in the protection of this threatened raptor.</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.