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4,010 results for “STABILITY”
Data from: Soil microbes generate stronger fitness differences than stabilization among California annual plants
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Newport Bay water quality and eelgrass bed stability
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Supplementary materials for the paper "Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores"
<p>Supplementary materials for the paper "Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores"</p> <p>The materials include experimental results and source code.</p>
Supplementary videos for "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in vitro Paclitaxel- Stabilized Microtubules"
<p>Supplementary videos for MDPI Crystals manuscript "Interplay Between Convective and Viscoelastic Forces Controls the Morphology of in <em>vitro</em> Paclitaxel- Stabilized Microtubules "</p>
Low-dose antibiotic prophylaxis has no significant impact on the stability of the intestinal microbiome in children with urogenital tract malformations under 1 year of age.
<p>Raw data for the evaluation of the stool microbiome in children under antibiotic prophylaxis vs. controls.</p>
Data collected from the project "Experimental Investigation of Sediment Stability at Reservoirs on the Rhône River"
<p>-----------------------------------------------------------------------------------------------------------------------------------------------------------------<br> Data collected from the project "Experimental Investigation of Sediment Stability at Reservoirs on the Rhône River"</p> <p>Details on the project including information on the materials and methods applied are provided in the available technical report<br> -----------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>A_Bulk_Density<br> - contains the vertical bulk density measurements of all withdrawn sediment cores from the Motz and Logis-Neuf reservoir<br> Motz: MZ08, MZ09, MZ10, MZ11, MZ12, MZ13, MZ14, MZ15, MZ16<br> Logis-Neuf: LN01, LN02, LN03, LN04, LN05, LN06, LN07, LN08, LN09, LN10, LN11, LN12, LN14<br> -----------------------------------------------------------------------------------------------------------------------------------------------------------------<br> --> selected cores for detailed experimental investigations: MZ09, MZ14 and LN10, LN14<br> <br> B_Sediment_Composition_and_ParticleSizes<br> - contains the results of the depth-dependent particle size analyses (distribution curves)<br> - contains the derived sediment composition over core depth<br> <br> C_TOC_and_CEC<br> - contains the results of the Total Organic Carbon (TOC) measurements over core depth<br> - contains the results of the Cation Exchange Capacity (CEC) measurements over core depth</p> <p>D_Sediment_Stability<br> - contains the results of the measured sediment stability over core depth<br> <br> E_Sediment_Erosionrates<br> - contains the results of the measured erosion rates over core depth<br> --> two methods are considered: "last measured erosion rate" and "mean erosion rate"<br> <br> F_Sediment_Erosion_Volumes<br> - contains the raw data of the erosion volume measurements conducted with SETEG/PHOTOSED<br> --> the data is provided separately for each investigated sediment layer over core depth (denoted by "D**")<br> --> the data is evaluated for five considered time intervals dt =15s, dt =30s, dt =60s, dt =100s, dt =120s<br> <br> -----------------------------------------------------------------------------------------------------------------------------------------------------------------</p>
Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
<p><b>Aim</b>: Climate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when decreased performance by some species is offset by increased performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species, reducing buffering. Local conditions, such as soil nutrients, can further alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.</p> <p><b>Location</b>: Grasslands in North America, Europe and Australia.</p> <p><b>Time period</b>: Annual surveys over five-year intervals occurring between 2007 and 2014.</p> <p><b>Major taxa studied</b>: Herbaceous plants.</p> <p><b>Methods</b>: We annually sampled per-species cover and aboveground community biomass (net primary productivity; NPP), plus soil chemical properties, in twenty-nine grasslands. We tested how soil conditions, combined with precipitation and temperature variability, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modeling to examine proximate and ultimate relationships.</p> <p><b>Results</b>: Climate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils, and in turn increased asynchrony. Temperature and precipitation variability caused a unimodal asynchrony response, with asynchrony lowest at low and high climate variability. Climate impacted stability indirectly through its effect on asynchrony, with stability increasing at higher asynchrony due to lower inter-annual NPP variability. Soil conditions had no detectable effect on asynchrony but increased stability by increasing mean NPP, especially when soil organic matter was high.</p> <p><b>Main Conclusions</b>: We found globally consistent evidence that climate modulates species asynchrony, but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to temperature and precipitation variability suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.</p>
CCLid: A toolkit to authenticate the genotype and stability of cancer cell lines
<p>CCLid (Cancer Cell Line identification) is designed as a toolkit to address the lack of a publicly available resource for genotype-based cell line authentication. We developed this resource to allow for genotype-matching of any given cancer cell line to the 1,204 unique cell lines found in the CCLE dataset, with support to include additional SNP array datasets. Using the B-allele frequencies (BAFs) for all SNPs found in common between the input data and reference datasets, this tool will allow for a genotype matching operation that trains and uses a logistic model to calculate the probability of the best cell line matches. This is followed by a measure of genetic drift between isogenic lines by look for segments of the genome that have significantly different BAF values.</p> <p> </p> <p>This zenodo dataset contains the (sample x probeset) BAF matrix for the CCLE dataset, as well as supporting datasets to allow mapping of SNP probesets and genotype correction between SNP array technologies (i.e. Affymetrix SNP 6.0 and Illumina HumanOmni 2.5M). This also contains all the metadata for cell line identities in CCLE, GDSC, and gCSI as well their corresponding cellosaurus unique identifies.</p>
Data from: Anthropogenic disturbance and rainfall variation threaten the stability of plant‐ant interactions in the Brazilian Caatinga
Climate change is projected to exacerbate the effects of anthropogenic disturbance, with negative impacts on ecosystem stability and functioning. We evaluate the additive and combined effects of chronic anthropogenic disturbance (CAD) and rainfall variation on the temporal stability of mutualistic EFN‐bearing plant‐ant networks in a Caatinga dry forest. We evaluated whether changes in the stability of these interactions are driven by changes in the stability of the communities of partners involved and/or in ant behavior. We sampled EFN‐bearing plant‐ant networks in sixteen 20m×20m plots distributed across CAD and rainfall gradients. The stability of EFN‐bearing plant and attendant‐ant communities were measured as the inverse of temporal differences in their community structure and composition. We also computed the stability of EFN‐bearing plant‐ant networks by measuring the inverse of temporal differences in network specialization metrics. We found that, in general, the structure and composition of plant and ant interacting communities were similarly stable along both environmental gradients. Only CAD and its interaction with rainfall affected the temporal stability of EFN‐bearing plant diversity, which declined as CAD increased, with a more pronounced relationship in wetter areas. However, variation in levels of CAD and, to a lesser extent, rainfall greatly modulated the stability of EFN‐bearing plant‐ant network specialization. CAD reduced the stability of network generality (specialization at the ant level), an effect that was much stronger in wetter areas. Meanwhile, the stability in network vulnerability (specialization at the plant level) decreased with the increase of CAD and the decrease of rainfall levels. Finally, there was a trend of decreasing stability in specialization of the overall network with increasing CAD. Our results suggest that changes in the structure of interaction networks are mainly driven by a switch in ant behavior rather than by changes in the structure and composition of plant and ant communities between years.
Potential evolutionary trade-off between feeding and stability in Cambrian cinctan echinoderms
<p>Reconstructing the function and behaviour of extinct groups of echinoderms is problematic because there are no modern analogues for their aberrant body plans. Cinctans, an enigmatic group of Cambrian echinoderms, exemplify this problem: their asymmetrical body plan differentiates them from all living species. Here, we used computational fluid dynamics to analyse the functional performance of cinctans without assuming an extant comparative model. Three-dimensional models of six species from across cinctan phylogeny were used in computer simulations of water flow. The results demonstrate that cinctans with strongly flattened bodies produced much less drag than species characterized by dorsal protuberances or swellings, suggesting the former were more stable on the seafloor. However, unlike the flattened forms, cinctans with high-relief bodies were able to passively direct flow towards the mouth and associated food grooves, indicating that they were capable of more efficient feeding on particles suspended in the water. This study provides evidence of a previously unknown evolutionary trade-off between feeding and stability in Cambrian cinctan echinoderms.</p>
Data from: REM sleep stabilizes hypothalamic representation of feeding behavior
<p>During rapid eye movement (REM) sleep, behavioral unresponsiveness contrasts strongly with intense brain-wide neural network dynamics. Yet, the physiological functions of this cellular activation remain unclear. Using <i>in vivo</i> calcium imaging in freely behaving mice, we found that inhibitory neurons in the lateral hypothalamus (LH<sup>vgat</sup>) show unique activity patterns during feeding that are reactivated during REM, but not NREM, sleep. REM sleep specific optogenetic silencing of LH<sup>vgat</sup> cells induced a re-organization of these activity patterns during subsequent feeding behaviors accompanied by decreased food intake. Our findings provide evidence for a role for REM sleep in the maintenance of cellular representations of feeding behavior.</p>
Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations - Numerical tests
<p>Code used to obtain numerical results for the work titled "Stability properties of a projector-splitting scheme for dynamical low rank approximation of random parabolic equations".</p> <p>Associated publication (pre-print) is available at https://arxiv.org/abs/2006.05211</p>
Stability Constrained Characterization of Multiplanet Systems
<p>REBOUND simulation archives of initial conditions used in Tamayo, Gilbertson and Foreman-Mackey (2020)</p>
The names don't matter but the numbers do: searching for stability in Carboniferous brachiopod paleocommunities from the North American Midcontinent
A key question in paleoecology and macroevolution is whether assemblages of species (paleocommunities) are persistent entities that endure over millions of years. Whilst community turnover in the face of abiotic change is the presumed norm, paleocommunities have been shown to persist for long time periods and regardless of environmental disruption. It remains an open question however, as to what processes allow for this. We investigate these questions by analyzing the Carboniferous brachiopod paleocommunities from the Midcontinent of North America. These diverse communities were subjected to repeated and geologically rapid changes in sea level. Using a suite of statistical techniques, we characterize the nature and scope of changes in these paleocommunities over time. We find that, at the paleocommunity scale, there is no evidence for obdurate ecological stasis, with fluctuations in both taxonomic composition and the associated abundance of taxa. However, at a higher ecological scale, stability is manifest, as diversity patterns remain stable across time, with a consistent number of species that can exist in any given paleocommunity. This suggests ecological rules such as taxon packing are in effect, resulting in a form of ecological stability even in the face of constant disequilibrium, and parallels ecological patterns of disruption and recovery previously observed for invertebrate communities from modern marine systems. Based on these results, we advocate for consideration of different hierarchical entities and scales when interpreting the ecological dynamics of fossil assemblages, as focusing exclusively on changes in taxon identity/abundance or diversity levels can lead to very different results.
Data from: Mycorrhizal suppression and phosphorus addition influence the stability of plant community composition and function in a temperate steppe
<p>Nutrient enrichment can reduce ecosystem stability, typically measured as the temporal stability of productivity that has multiple underlying mechanism including species resistance and resilience to nutrient pulses and the resulting compositional change. Moreover, nutrient enrichment can alter plant-soil interactions (e.g. mycorrhizal symbiosis) that determine plant productivity and diversity. Thus, it is likely that nutrient enrichment and interactions between plants and their soil communities co-determine the stability in plant community composition and productivity. Yet our understanding as to how nutrient enrichment affects the multiple facets of ecological stability and the role of above-belowground interactions are still lacking.</p> <p>We tested how mycorrhizal suppression and phosphorus (P) addition influenced functional and compositional stability of plant community in a three-year field study. Here functional stability is the temporal community variance in primary productivity; compositional stability is represented by compositional resistance, turnover, species extinction and invasion.</p> <p>Compared with mycorrhizal suppression, the intact AM fungal communities reduced community variance in primary productivity by reducing species synchrony at high levels of P addition. Species synchrony and population variance were linearly associated with community variance when mycorrhiza were not suppressed, while these relationships were decoupled or weakened by mycorrhizal suppression. The intact AM fungal communities promoted the compositional resistance of plant communities by reducing compositional turnover, but this effect was suppressed by P addition. P addition increased the number of species extinctions and thus promoted compositional turnover.</p> <p>Our study shows P addition and AM fungal communities can jointly and independently modify the various components of ecosystem stability in terms of plant community productivity and composition.</p>
Data from: Stabilizing selection and adaptive evolution in a combination of two traits in an arctic ungulate
<p>Stabilizing selection is thought to be common in wild populations and act as one of the main evolutionary mechanisms which constrain phenotypic variation. When multiple traits interact to create a combined phenotype, correlational selection may be an important process driving adaptive evolution. Here we report on phenotypic selection and evolutionary changes in two natal traits in a semi-domestic population of reindeer (<em>Rangifer tarandus</em>) in northern Finland. The population has been closely monitored since 1969, and detailed data has been collected on individuals since they were born. Over the length of the study period (1969 - 2015), we found directional and stabilizing selection towards a combination of earlier birth date and heavier birth mass with an intermediate optimum along the major axis of the selection surface. In addition, we demonstrate significant changes in mean traits towards earlier birth date and heavier birth mass, with corresponding genetic changes in breeding values during the study period. Our results demonstrate evolutionary changes in a combination of two traits which agree closely with estimated patterns of phenotypic selection. Knowledge of the selective surface for combinations of genetically correlated traits are vital to predict how population mean phenotypes and fitness are affected when environments change.</p> <p> </p>
Data from: Deciphering the stability of grassland productivity in response to rainfall manipulation experiments
<p>Aim: Rainfall manipulation experiments are essential tools for deciphering mechanisms leading to variation in ecosystem stability across sites. Here, we gathered articles reporting results of experimental droughts on grasslands above-ground biomass: to identify which indices have been used to assess stability, to evaluate the overall grassland responses to drought, and to quantify the relative importance of drought characteristics and climatic conditions on explaining variation in stability.</p> <p>Location: Global</p> <p>Time period: 1989-2018</p> <p>Major taxa studied: Grasslands</p> <p>Methods: We used meta-analysis approaches to evaluate overall grassland stability in terms of resistance, recovery and resilience, and multi-model inference to assess the relative importance of different moderators on explaining variability on those three stability properties.</p> <p>Results: Numerous indices of stability have been used, but they are inadequate for comparisons across sites. After applying standardized indices, we found that grasslands were resilient (biomass remained unchanged one year after drought) and exhibited a trade-off between low resistance (biomass was lost during drought) and high recovery (new biomass was produced after drought). Overall, climatic conditions and drought characteristics (intensity, duration and frequency) were not important to explain the differences in stability observed across grasslands.</p> <p>Main Conclusions: Grasslands are resilient, but if drought events last longer than a year, there might be long-term declines of biomass production due to incomplete recovery. Despite the hundreds of experiments conducted in grasslands across the globe, results are still inconclusive due to four important shortcomings: 50% of the studies have failed on creating drought, 81% have not included recovery and resilience only assessing resistance, 87% have not applied quantitative indices to assess stability, and less than 1% of the studies were conducted on tropical grasslands. We discuss how to overcome those limitations to further improve our ability to ensure a stable grassland productivity under climate changes.</p>
Self-stabilizing Byzantine-resilient communication in dynamic networks (video)
Full video presentation of the paper: Self-stabilizing Byzantine-resilient communication in dynamic networks.<br><br>Appears in Session 1 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
FIGURE 3 in Zoological nomenclature: Suggestions to increase stability and facilitate the naming of Clades
FIGURE 3. Clade name stability and incomplete taxon sampling. (A) Clade Aus defined by two specifiers (in red); (B) Addition of previously unsampled taxa (species X, in blue). If the clade Aus has a node-based definition, the PhyloCode would require a new name for the clade that contains the newly added species "X." (C) Proposed solution in which specifiers can be modified (except the type species) to expand the species content of the clade, avoiding the inflation of clade names.
FIGURE 2 in Zoological nomenclature: Suggestions to increase stability and facilitate the naming of Clades
FIGURE 2. Unranked names as a mean to increase name stability. (A) Accepted relationships and nomenclature among some anuran families. Note that the ranks of family and superfamily are already occupied and that there is no formal name for the Centrolenidae + Allophrynidae clade (Clade X). (B) Proposal by Frost et al. (2006) to formalize Clade X as Centrolenidae; note that even though topologies have not changed, there is considerable name instability, highlighted in red, because of shift in ranks. (C) Proposal where the addition of an unranked name formalizes the relationships without the need of changing names (see Guayasamin et al., 2009).
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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.