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10,735 results for “dependability”
Data from: Integrating ontogeny and ontogenetic dependency into community assembly
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Data from: Biological modification of coastal pH depends on community composition and time
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Raczka et al. Plant-microbial responses to reduced precipitation depend on tree species in a temperate forest
Given that global change is predicted to increase the frequency and severity of drought in temperate forests, it is critical to understand the degree to which plant belowground responses cascade through the soil system to drive ecosystem responses to water stress. While most research has focused on plant and microbial responses independently of each other, a gap in our understanding lies in the integrated response of plant-microbial interactions to water stress. We investigated the extent to which divergent belowground responses to reduced precipitation between sugar maple trees (Acer saccharum) vs. oak trees (Oak spp.) may influence microbial activity via throughfall exclusion in the field. Evidence that oak trees send carbon belowground to prime microbial activity more than maples under ambient conditions and in response to water stress suggests there is the potential for corresponding impacts of reduced precipitation on microbial activity. As such, we tested the hypothesis that differences in belowground C allocation between oaks and maples would stimulate microbial activity in the oak treatment soils and reduce microbial activity in in the sugar maple treatment soils compared to their respective controls. We found that the treatment led to declines in N mineralization, soil respiration, and oxidative enzyme activity in the sugar maple treatment plot. These declines may be due to sugar maple trees reducing root C transfers to the soil. By contrast, the reduced precipitation treatment enhanced soil respiration, as well as rates of N mineralization and peroxidase activity in the oak rhizosphere. This enhanced activity suggests that oak roots provided optimal rhizosphere conditions during water stress to prime microbial activity to support net primary production. With future changes in precipitation predicted for forests in the Eastern US, we show that the strength of plant-microbial interactions drives the degree to which reduced precipitation impacts soil C and nu
Surface water chemistry:Scale Dependent Nutrient Interactions among Lacustrine Communities
E280 is a long-term study, initiated in 2013, to determine how nutrient retention vs. export in the uplands affects downslope aquatic communities. Experimental work will focus on stoichiometry and patterns of nutrient limitation at different observational scales. Our proposed work will test the hypothesis that with increasing spatial and temporal scale, interactions among limiting nutrients diminish and single factor limitation is increasingly prevalent.
Supporting Information for "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges"
<p>Summary plots and parameter tables for each of the 51 shocks analyzed in the statistical study "Terrestrial bow shock parameters from MMS measurements: dependence on upstream and downstream time ranges."</p>
Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone
<p>Dataset for the article "Effect of pore collapse and grain crushing on the frequency dependence of elastic wave velocities in a porous sandstone"<br> by Sun, C., Borgomano, J.V.M., Fortin J., Wang, S.</p> <p> </p> <p>Please refer to the ReadMe file or to kang2008ping2008@163.com for more details.</p>
Supporting data for "Pressure dependence of proton incorporation and water solubility in olivine"
<p>This is the FTIR and EPMA datasets for the article "Pressure dependence of proton incorporation and water solubility in olivine" by Fei and Katsura.</p>
Libraries.io Open Source Repository and Dependency Metadata
<p><strong>What is in this release?</strong></p> <p>In this release you will find data about software distributed and/or crafted publicly on the Internet. You will find information about its development, its distribution and its relationship with other software included as a dependency. You will not find any information about the individuals who create and maintain these projects.</p> <p>Further information and documentation on this data set can be found at https://libraries.io/data</p> <p>For enquiries please contact data@libraries.io</p> <p>This dataset contains seven csv files:</p> <p><strong>Projects</strong></p> <p>A project is a piece of software available on any one of the 34 package managers supported by Libraries.io.</p> <p><strong>Versions</strong></p> <p>A Libraries.io version is an immutable published version of a Project from a package manager. Not all package managers have a concept of publishing versions, often relying directly on tags/branches from a revision control tool.</p> <p><strong>Tags</strong></p> <p>A tag is equivalent to a tag in a revision control system. Tags are sometimes used instead of Versions where a package manager does not use the concept of versions. Tags are often semantic version numbers.</p> <p><strong>Dependencies</strong></p> <p>Dependencies describe the relationship between a project and the software it builds upon. Dependencies belong to Version. Each Version can have different sets of dependencies. Dependencies point at a specific Version or range of versions of other projects.</p> <p><strong>Repositories</strong></p> <p>A Libraries.io repository represents a publically accessible source code repository from either github.com, gitlab.com or bitbucket.org. Repositories are distinct from Projects, they are not distributed via a package manager and typically an application for end users rather than component to build upon.</p> <p><strong>Repository dependencies</strong></p> <p>A repository dependency is a dependency upon a Version from a package manager has been specified in a manifest file, either as a manually added dependency committed by a user or listed as a generated dependency listed in a lockfile that has been automatically generated by a package manager and committed.</p> <p><strong>Projects with related Repository fields</strong></p> <p>This is an alternative projects export that denormalizes a projects related source code repository inline to reduce the need to join between two data sets.</p> <p><strong>Licence</strong></p> <p>This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International Licence.</p> <p>This licence provides the user with the freedom to use, adapt and redistribute this data. In return the user must publish any derivative work under a similarly open licence, attributing Libraries.io as a data source. The full text of the licence is included in the data.</p> <p><strong>Access, Attribution and Citation</strong></p> <p>The dataset is available to download from Zenodo at https://zenodo.org/record/2536573.</p> <p>Please attribute Libraries.io as a data source by including the words ‘Includes data from Libraries.io, a project from Tidelift’ and reference the Digital Object identifier: 10.5281/zenodo.3626071</p>
Dataset related to article "Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism."
<p>BACKGROUND:</p> <p>Thyroid carcinoma includes several variants characterized by different biological and clinical features: from indolent microcarcinoma to undifferentiated and aggressive anaplastic carcinoma. Inflammation plays a critical role in thyroid tumors. Conditions predisposing to cancer, as well as oncogene activity, contribute to the construction of an inflammatory microenvironment that facilitates thyroid tumor progression. Moreover, oncogene-induced senescence, a mechanism tightly connected with inflammation, and able to restrain or promote cancer progression, is involved in thyroid cancer. The interactions between thyroid tumor cells and the microenvironment are not completely clarified.</p> <p>METHODS:</p> <p>We characterize in vitro the interplay between macrophages and senescent thyrocytes and tumor-derived cell lines, modeling early and late thyroid tumor stages, respectively. Purified peripheral blood-derived human monocytes were exposed to thyroid cell-derived conditioned medium (CM) and assessed for phenotype by flow cytometry. The factors secreted by thyroid cells and macrophages were identified by gene expression analysis and ELISA. The protumoral effect of macrophages was assessed by wound healing assay on K1 thyroid tumor cells. The expression of PTGS2 and M2 markers in thyroid tumors was investigated in publicly available datasets.</p> <p>RESULTS:</p> <p>Human monocytes exposed to CM from senescent thyrocytes and thyroid tumor cell lines undergo M2-like polarization, showing high CD206 and low MHC II markers, and upregulation of CCL17 secretion. The obtained M2-like macrophages displayed tumor-promoting activity. Among genes overexpressed in polarizing cells, we identified the prostaglandin-endoperoxide synthase enzyme (PTGS2/COX-2), which is involved in the production of prostaglandin E2 (PGE2). By using COX-2 inhibitors we demonstrated that the M2-like polarization ability of thyroid cells is related to the production of PGE2. Co-expression of PTGS2 and M2 markers is observed a significant fraction of human thyroid tumors.</p> <p>CONCLUSIONS:</p> <p>Our results demonstrate that both senescent thyrocytes and thyroid tumor cell lines trigger M2-like macrophage polarization that is related to PGE2 secretion. This suggests that the interaction with the microenvironment occurs at both early and late thyroid tumor stages, and favors tumor progression. The co-expression of PTGS2 gene and M2 markers in human thyroid carcinoma highlights the possibility to counteract tumor growth through COX-2 inhibition.</p>
Dependence of longitudinal and quadratic magnetooptic Kerr effect of Co2MnSi Heusler compound on annealing temperature
<p>Set of figures in .pdf format , showing change of longitudinal and quadratic magnetooptic Kerr effect upon annealing. in spectral range 0.8 - 5.5 eV. Blue dots are the experimental data, red line is the linear fit to the data. This dataset is discussed in the article: <em>Scaling of quadratic and linear magnetooptic Kerr effect spectra with L2<sub>1 </sub>ordering of Co<sub>2</sub>MnSi Heusler compound</em></p>
Computational insights into voltage dependence of polyamine block in a strong inwardly rectifying K+ channel
<p>Supplemental Material to the study "<em>Computational insights into voltage dependence of polyamine block in a strong inwardly rectifying K<sup>+</sup> channel</em>", to be published in <em>Frontiers in Pharmacology</em>.</p> <p>The upload contains (1) a representative trajectory (run4), and (2) two frames of the SPM inward-pulling simulations:</p> <ul> <li>(1) Free MD run4 with outward driving force, containing the compressed .xtc, the .tpr, and the final step as .gro file</li> <li>(2) steered MD, containing the starting frame (SPM in the central cavity below the Selectivity Filter) and a representative frame of SPM interacting with the CTD-binding site. </li> </ul>
HORUS pressure dependent calibrations using the APACHE calibrator
<p>Dataset for the pressure dependent calibrations of HORUS using the newly developed All Pressure Altitude Calibrator for HOx Experimentation (APACHE) chamber.</p>
Agri-environment schemes enhance pollinator richness and abundance but bumblebee reproduction depends on field size
<p>Insect-pollinated plant<strong> </strong>and pollinator data supporting the results reported in the article Geppert et al. (2020).</p>
Data from: Drought legacies are short, prevail in dry conifer forests and depend on growth variability.
<ul> <li>The negative impacts of drought on forest growth and productivity last for several years generating legacies, although the factors that determine why such legacies vary across sites and tree species remain unclear.</li> <li>We used an extensive network of tree-ring width (RWI, ring-width index) records of 16 tree species from 567 forests, and high-resolution climate and NDVI datasets across Spain during the common period 1982‒2008 to test the hypothesis that climate conditions and growth features modulate legacy effects of drought on forests. Legacy effects of drought were calculated as the differences between detrended-only RWI and NDVI series (i.e. after removing long-term growth trends) and pre-whitened RWI and NDVI series predicted by a model including drought intensity. Superposed epoch analysis (SEA) was used to estimate whether legacy effects differed from random. Finally, legacy effects were related to water balance, growth persistence and variability, and tree species identity.</li> <li>We found a widespread occurrence of drought legacy effects in both RWI and NDVI, but they were seldom significant. According to SEA, first-year drought legacies were negative and different from random in 9% and 5% of the RWI and NDVI series, respectively. The number of significant second- and third-year legacies was substantially lower. Differences between RWI and NDVI legacies indicate that canopy greenness and radial-growth responses to drought are decoupled. We found variations in legacies between tree species with gymnosperms presenting larger first-year drought legacies than angiosperms, which were exposed to less severe droughts. Greater growth variability can explain the presence of first-year RWI legacies in gymnosperms from dry sites despite the relationship between growth variability and legacies was complex.</li> </ul> <p><i>"Synthesis"</i> Accounting for species and site responses to drought provides a better understanding of the magnitude and duration of drought legacies on forest growth and productivity. Despite the widespread occurrence of growth reductions in the years during and after drought occurrence, significant legacies were not very common, mostly lasted one year and were more widespread in gymnosperms. These are relevant factors to be considered in the future when studying the consequences of drought on forest productivity and tree growth.</p>
Data from: Endemism patterns are scale dependent
<p>Areas of endemism are important in biogeography because they capture facets of biodiversity not represented elsewhere. However, the scales at which they are relevant to research and conservation are poorly analysed. Here, we calculate weighted endemism (WE) and phylogenetic endemism (PE) separately for all birds and amphibians across the globe. We show that scale dependence is widespread for both indices and manifests across grain sizes, spatial extents and taxonomic treatments. Variations in taxonomic opinions – whether species are treated by systematic 'lumping' or 'splitting' – can profoundly affect the allocation of WE hotspots. Global patterns of PE can provide insights into complex evolutionary processes but this congruence is lost at the continental to country extents. These findings are explained by environmental heterogeneity at coarser grains, and to a far lesser extent at finer resolutions. Regardless of scale, we find widespread deficits of protection for endemism hotspots. Our study presents a framework for assessing areas for conservation that are robust to assumptions on taxonomy, spatial grain and extent.</p>
Artifacts of Paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems"
<p>This package contains all the artifacts (i.e. codes & datasets) we use in our paper "Understanding and Discovering Software Configuration Dependencies in Cloud and Datacenter Systems" accepted to FSE 2020.</p>
Data from: Increasing dependence of lowland populations on mountain water resources
<p>Mountain areas provide disproportionally high runoff in many parts of the world, and here we quantify for the first time their importance for water resources and food production from the viewpoint of the lowland areas downstream. The dataset maps the degree to which lowland areas potentially depend on runoff contributions from mountain areas (39% of land mass) between the 1960s and the 2040s.</p>
Supplementary material 3 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Figure S1. Initial model of the piecewise structural equation modeling (SEM) for summer (A) and spring (B)
Supplementary material 4 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Table S1. Result of the automated model selection approach identifying environmental variables that affected the cover of Impatiens glandulifera in summer 2016 and spring 2017
Supplementary material 7 from: Bieberich J, Feldhaar H, Lauerer M (2020) Micro-habitat and season dependent impact of the invasive Impatiens glandulifera on native vegetation. NeoBiota 57: 109-131. https://doi.org/10.3897/neobiota.57.51331
Figure S3. Micro-habitat specific impact of I. glandulifera on the resident plant species composition
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.