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10,735 results for “dependability”
Fig. 2 in Assessing the Old-Growth Dependency of Two Saproxylic Beetle Species in the Southern Appalachian Mountains
Fig. 2. (A) Phellopsis obcordata, dorsal habitks. (B) Fomitopsis ochracea, cewly recorded host. (C) Records of P. obcordata acd Fomitopsis spp. withic Great Smoky Mokctaics Natiocal Park with historic lacd kses. Oktliced areas oc the map icdicate areas searched dkricg this stkdy ic 2019 acd 2021. All records oktside acd some records icside of the areas searched are from iNatkralist acd previoks literatkre.
Fig. 5 in Assessing the Old-Growth Dependency of Two Saproxylic Beetle Species in the Southern Appalachian Mountains
Fig. 5. Probability of occkrrecce withic Great Smoky Mokctaics Natiocal Park of (A) Phellopsis obcordata based oc distacce from the cearest kcdistkrbed forest (0 icdicates icside kcdistkrbed areas), acd (B) Megalodacne heros based oc elevatioc.
Data for 'Phase-dependent Andreev molecules and superconducting gap closing in coherently coupled Josephson junctions'
<p>An Igor file stores source data for the two figures showing the experimental results in the main manuscript and the supplementary figures. </p>
Data for: Size-dependent colouration balances conspicuous aposematism and camouflage
<p>Colour is an important component of many different defensive strategies, but signal efficacy and detectability will also depend on the size of the coloured structures, and how pattern size interacts with the background. Consequently, size-dependent changes in colouration are common among many different species as juveniles and adults frequently use colour for different purposes in different environmental contexts. A widespread strategy in many species is switching from crypsis to conspicuous aposematic signalling as increasing body size can reduce the efficacy of camouflage, while other antipredator defences may strengthen. Curiously, despite being chemically defended, the gold-striped frog (<i>Lithodytes lineatus</i>, Leptodactylidae) appears to do the opposite, with bright yellow stripes found in smaller individuals whereas larger frogs exhibit dull brown stripes. Here, we investigated whether size-dependent differences in colour support distinct defensive strategies. We first used visual modelling of potential predators to assess how colour contrast varied among frogs of different sizes. We found that contrast peaked in mid-sized individuals while the largest individuals had the least contrasting patterns. We then used two detection experiments with human participants to evaluate how colour and body size affected overall detectability. These experiments revealed that larger body sizes were easier to detect, but that the colours of smaller frogs were more detectable than those of larger frogs. Taken together our data support the hypothesis that the primary defensive strategy changes from conspicuous aposematism to camouflage with increasing size, implying size-dependent differences in the efficacy of defensive colouration. We discuss our data in relation to theories of size-dependent aposematism and evaluate the evidence for and against a possible size-dependent mimicry complex with sympatric poison frogs (Dendrobatidae). </p>
Data for the manuscript "Improved Initialisation of Optimal Path Calculations Using Stepwise Traversal over the Image Dependent Pair Potential Surface"
<p>Data of all initial and minimum energy paths presented.</p>
Decomposing Duration Dependence in a Stopping Time Model
<p>This package contains codes and data sets needed to reproduce results in Alvarez, Borovickova, Shimer: Decomposing Duration Dependence in a Stopping Time Model, accepted for publication in the Review of Economic Studies. Detailed description of the files are in "readme.pdf" file which is part of the replication package.</p>
Stress and frequency dependence of wave velocities in saturated rocks: an acoustoelasticity-squirt flow model
<p>These data are the P- and S-wave velocities obtained by Ba et al. through ultrasonic experimental measurements and the seismic measurements on a rock sample at different pressures.</p> <p>In the package of data, wave velocities measured at different pore fluids and frequencies are saved as different XLSX files. The title of each XLSX file includes the sample number, saturation condition and measurement frequency. For instance, “Sample D_Seismic_Brine” denotes that wave velocities of sample D measured with the full brine saturation are measured at seismic frequency, while “Sample D_Ultrasonic_Gas” denotes that wave velocities of gas-saturated sample D are measured at ultrasonic frequency. The package also includes the TXT file of sample properties.</p> <p>In the TXT files of seismic measurements, the first column gives the differential pressure values, the second column gives frequency values, the third and fourth column gives P- and S-wave velocities. In the TXT files of ultrasonic measurements, the first column gives the differential pressure values, the second and third column gives P- and S-wave velocities.</p>
Broad-range capsule-dependent lytic Sugarlandvirus against Klebsiella sp.
<p>The genomic data of the three isolated Klebsiella phages, vB_Kpn_K7PH164C4, vB_Kpn_K30λ2.2 and vB_Kpl_K32PH164C1</p>
Facet-dependent Strong Metal Support Interactions Control the C-O Bond Activation
<p>Reducible metal oxides are selective and effective in C–O bond scission of hydrodeoxidation reactions (HDO) via the reverse Mars–van Krevelen mechanism. Creating efficient redox centers while minimizing metal surfaces leads to highly selective catalysts. Single noble metal atoms activate the surface M-O bond, but the catalyst activity is limited due to low loading. Here, we report that the strong metal-support interaction (SMSI) between Ir and CeO<sub>2</sub> is facet sensitive, and certain facets regulate the C-O bond cleavage. At 300 <sup>o</sup>C reduction, Ir is mostly encapsulated on an octahedron by (111) facets but remains exposed by (110) facets. The former is selective whereas the latter is not. Density Functional Theory (DFT) indicates that Ir encapsulation is favored on (111) under reaction conditions, and oxygen vacancies more readily form on encapsulated Ir than on pristine ceria.</p>
Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"
<p>Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"</p>
second Workshop of cortical depth dependent fMRI at CMRR
<p>This dataset contains the material of the workshop of cortical depth resolved (cdr) fMRI, aka layer-fMRI Oct 10th-11th 2023. Official website is: <a href="https://sites.google.com/umn.edu/2023-minnesota-workshop/training/depth-resolved-layer-fmri ">https://sites.google.com/umn.edu/2023-minnesota-workshop/training/depth-resolved-layer-fmri</a>.</p> <p>The goal of this hands-on workshop was to:</p> <ul> <li>Talk about the stuff that is not in the paper!</li> <li>Show you the “ugly” parts of layer fMRI</li> <li>Provide enough knowledge to allow analyzing layer data from beginning to end</li> <li>Highlight the cool features of some of the most commonly used software</li> </ul> <p>The workshop featured 4 independent pipelines of layer-fMRI analysis:</p> <ul> <li><strong><a href="https://muckli.psy.gla.ac.uk/yulia-lazarova/">Yulia Lazarova</a></strong>: BrainVoyager</li> <li><strong><a href="https://www.martinos.org/investigator/anna-blazejewska/">Anna Blazejewska</a></strong>: Freesurfer</li> <li><strong><a href="https://cmn.nimh.nih.gov/Renzo">Renzo Huber</a></strong>: LayNii AFNI</li> <li><a href="https://cla.umn.edu/about/directory/profile/caolman"><strong>Cheryl Olman</strong></a>: Distrortion correction and registration</li> </ul> <p>More information can be found here: <a href="https://laminauts.com/cdr2-2/ ">https://laminauts.com/cdr2-2/ </a></p>
Replication Package of the Paper: An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles
<p>This is a replication package of the paper: "An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles".</p><p>This replication package contains:</p><ul><li><strong>all-projects.xlsx:</strong> list 38 projects' demographic information.</li><li><strong>rq1-recurring-patterns:</strong> contains successful untangling cases into each pattern we manually inspected. In one case, it contains:<ul><li><strong>src/:</strong> src code before and after a commit</li><li><strong>cycle-dependency-change/: </strong>cyclic files presented in dependency graph before and after a commit</li><li><strong>all-modified-files-dependency-change/:</strong> all modified files presented in dependency graph before and after a commit</li><li><strong>diff.txt:</strong> code diff changes</li><li><strong>refactor.json:</strong> mined refactoring operations from RefactoringMiner 2.0.0.</li></ul></li><li><strong>rq3-counterintuitive-solutions: </strong>contain counterintuitive cases dependency cycles are not resolved. The file structure of each case is the same as above.</li><li><strong>rq2-design-relations</strong> contains:<ul><li><strong>dependency-relations.csv:</strong> dependency relations inside and outside dependency cycle. Column 2-25 contains dependency information inside dependency cycle. Column 26-77 contain dependency information outside dependency cycle.</li><li><strong>dependency-type-inside-cycle.csv </strong>lists <strong>24</strong> unique dependency types inside dependency cycle.</li><li><strong>dependency-type-outside-cycle.csv</strong> lists <strong>52</strong> unique dependency types inside dependency cycle.</li></ul></li><li><strong>SrcCode_CycleUntangleEmpirical:</strong> source code to generate data and replicate the results. It contains a README file to explain the purpose of each module.</li></ul><p> </p><p> </p>
Benchmark data for "Model-X knockoffs reveal data-dependent limits on regulatory network identification"
<p>This collection of data was used in our manuscript tentatively entitled "<strong>Model-X knockoffs reveal data-dependent limits on regulatory network identification</strong>". It is entirely from public sources, but to enable easy repetition of our analyses, we collect it all here in the exact format we used. Links to related papers and code can be found at the <a href="https://github.com/ekernf01/knockoffs_paper">knockoffs paper</a> homepage.</p>
Dataset and Tool for the Paper: Cross-Language Dependencies: An Empirical Study of Kotlin-Java
<ul> <li>Folder <strong>tool-to-extract-kotlin-java-dependencies</strong> contains a runnable jar of our tool to extract Kotlin-Java dependencies, please follow README in this folder to execute this tool.</li> <li>Folder <strong>accuracy-verification </strong>contains the source code of the ground-truth project, along with manual dependency inspections from file to file and from line to line. The extracted dependencies result of this project from our tool is also included in this folder.</li> <li>Folder <strong>rq1-dependencies-graph-for-each-project </strong>contains all dependency graphs of our 23 subjects in Json format.</li> <li>Folder<strong> rq1-circular-layout-for-each-project</strong> contains the circular layout of dependencies among source files of our 23 subjects.</li> <li>Folder <strong>rq2-maintenance-cost-for-file-with-out-kotlin-java-interactions </strong>contains <ul> <li><strong>details</strong> lists the #commits and loc for each type of source files in details <ul> <li>_java_in_cross_language.csv represents Java source files participating in Kotlin-Java interactions</li> <li>_java_not_in_cross_language.csv represents Java source files not participating in Kotlin-Java interactions </li> <li>_kt_in_cross_language.csv represents Kotlin source files participating in Kotlin-Java interactions</li> <li>_kt_not_in_cross_language.csv represents Kotlin source files not participating in Kotlin-Java interactions </li> </ul> </li> </ul> </li> <li>Folder <strong>rq3-common-mistakes </strong>contains 103 cases in the manual inspections.</li> </ul>
Treatment for Alcohol Dependence With Gabapentin
ClinicalTrials.gov study NCT02771925. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Domiciliary Professional Oral Care for Dependent Older Adults
ClinicalTrials.gov study NCT05335239. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Testing SIROLIMUS in Beta-thalassemia Transfusion Dependent Patients
ClinicalTrials.gov study NCT03877809. IPD Sharing: YES. Countries: 1. Publications: 3.
Does the Pain Experienced During Orthodontic Treatment and Bracket Removal Depend on the Architecture of the Bracket?
ClinicalTrials.gov study NCT06324162. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Preload Dependence During Prone Position In ARDS Patients
ClinicalTrials.gov study NCT01965574. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of INC280 in Patients With c-MET Dependent Advanced Solid Tumors
ClinicalTrials.gov study NCT01324479. IPD Sharing: NO. Countries: 15. Publications: 2.
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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.
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.