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107 results for “Variability changes”
FIGURE. Variable positions in the ITS2 secondary structure of some Coelastrella sensu lato species. The ITS2 model of Coelastrella striolata strain CAUP H 3602 (JX513881) was used to map sequence differences. Variable positions of analyzed strains (GenBank numbers can be found in Table 3, 4 are given next to the main structure and are marked in bold. Hemi- Compensatory Base Changes in conservative regions are circled and Compensatory Base Change is contoured. Sequences of strains with GenBank numbers JX513879 (C. aeroterrestrica), JX513882 (C. terrestris), JX513884 (C. rubescens), MH176120 (C. rubescens var. oocystiformis), JX513880 (C. multistriata), JX513887 (C. oocystiformis) were used as representatives of Coelastrella species. The strains analyzed in this study are underlined. in Morphological and phylogenetic relations of members of the genus Coelastrella (Scenedesmaceae, Chlorophyta) from the Ural and Khentii Mountains (Russia, Mongolia)
FIGURE. Variable positions in the ITS2 secondary structure of some Coelastrella sensu lato species. The ITS2 model of Coelastrella striolata strain CAUP H 3602 (JX513881) was used to map sequence differences. Variable positions of analyzed strains (GenBank numbers can be found in Table 3, 4 are given next to the main structure and are marked in bold. Hemi- Compensatory Base Changes in conservative regions are circled and Compensatory Base Change is contoured. Sequences of strains with GenBank numbers JX513879 (C. aeroterrestrica), JX513882 (C. terrestris), JX513884 (C. rubescens), MH176120 (C. rubescens var. oocystiformis), JX513880 (C. multistriata), JX513887 (C. oocystiformis) were used as representatives of Coelastrella species. The strains analyzed in this study are underlined.
The Kling-Gupta efficiency (KGE) and latent variable data to analyze the dynamic changes and driving mechanisms of predictability
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Higher-order Internal Modes of Variability Imprinted in Year-to-year California Streamflow Changes
<p>This is the dataset associated with our manuscript "Higher-order Internal Modes of Variability Imprinted in Year-to-year California Streamflow Changes". It includes BCSD-CMIP6 simulations and corresponding streamflow projections. </p> <p>CMIP6 models:</p> <ul> <li>ACCESS-ESM1-5</li> <li>CNRM-ESM2-1</li> <li>EC-Earth3</li> <li>IPSL-CM6A-LR</li> <li>MPI-ESM1-2-LR</li> <li>MIROC6</li> </ul>
Data from: Landscape variability of vegetation change across the forest to tundra transition of central Canada
<p><strong>Paper Abstract: </strong></p> <p>Widespread increases in the productivity of tundra ecosystems and static trends – or even declines – in boreal ecosystems have been detected since the early 1980s using coarse-scale remote sensing. However, intermediate-scale Landsat studies have shown that these changes are heterogeneous and may be related to landscape and regional variability in climate, land cover, topography and moisture availability. In this study, a Landsat Normalized Difference Vegetation Index (NDVI) time-series (1984–2016) was examined for an area spanning the transition from sub-Arctic boreal forest to Low Arctic tundra in central Canada. This was supplemented by analyses of relationships with a suite of environmental variables and in situ measurements of bulk vegetation volume. Results show that NDVI trends were generally positive (i.e. increasing) across the study area but were smallest in the forest zone and largest in the northern tundra zone. More than one-quarter (27%) of un-masked pixels exhibited a significant (p < 0.05) trend and virtually all (99.3%) of those pixels exhibited an increasing, or “greening”, trend. Greening pixels were most common in the northern tundra zone and the southern ecotone zone. Random Forest modeling of the relationship between NDVI and environmental variables indicated that the magnitude and direction of trends varied across the forest to tundra transition. Areas that experienced larger increases in NDVI include: (i) areas where summer temperatures increased; (ii) areas exhibiting predominantly shrub and forest cover; and (iii) locations closer to major drainage systems, further from major lakes, and at lower elevations. Ground validation in the central portion of the study area reveals a strong relationship (R<sup>2</sup> = 0.79) between vegetation volume and NDVI for non-tree functional groups and that alder (<em>Alnus crispa</em>) shrublands and open spruce (<em>Picea mariana</em> and <em>P. glauca</em>) woodland with shrubby understories were most likely to exhibit greening. These findings indicate that the largest positive and more significant NDVI trends were associated with increased productivity in shrub-dominated environments, especially at, and north of the treeline in localities with favorable growing conditions. Smaller and less significant NDVI trends in boreal forest environments south of the treeline were likely associated with long-term successional change following disturbance rather than the variables analyzed here.</p> <p> </p> <p><strong>Data details:<br></strong></p> <p>See paper: <a href="https://www.sciencedirect.com/science/article/pii/S0034425718303675?via%3Dihub">Landscape variability of vegetation change across the forest to tundra transition of central Canada - ScienceDirect</a> </p> <p> </p> <p><strong>If you use these data, please reference:</strong></p> <p>Bonney, M.T., Danby, R.K., Treitz, P.M., 2018. Landscape variability of vegetation change across the forest to tundra transition of central Canada. Remote Sens. Environ. 217 <a href="https://doi.org/10.1016/j.rse.2018.08.002" rel="nofollow">https://doi.org/10.1016/j.rse.2018.08.002</a>.</p> <p>See code on GitHub: <a href="https://github.com/ZZMitch/CentralCanadaShrubification_1984to2016">ZZMitch/CentralCanadaShrubification_1984to2016: Code from "Landscape variability of vegetation change across the forest to tundra transition of central Canada" (RSE, 2018) (github.com)</a></p>
Climate-induced interannual variability and projected change of two harmful algal bloom taxa in Chesapeake Bay, USA
<p>This dataset include the input files for the hindcast simulation of ROMS-RCA in Chesapeake Bay during 2002-2011.</p> <p>ROMS (Regional Ocean Modeling System) model used in this study is version 3.4.</p> <p>RCA (Row-Column AESOP) water quality model used in this study is improved by UMCES, coupling with ROMS output.</p>
Mid-Holocene ENSO Variability reduced by northern African vegetation changes: a model intercomparison study
<p>This dataset contains model outputs from four climate models: EC-Earth, iCESM, UofT-CCSM4 and GISS. For each model, data is provided for three simulations: pre Industrial (PI), reference mid-Holocene without Green Sahara (MH_PMIP), and mid-Holocene with Green Sahara (MH_GS). For each simulation, data is provided for the variables: surface temperature, precipitation and zonal wind strength.</p>
Data from: Melanin in a changing world: brown trout coloration reflects alternative reproductive strategies in variable environments
Melanins are the most widespread pigments in animals but their adaptive significance remains elusive. Recent studies suggest that intraspecific variation in melanin-based coloration reflects individual genetic-based alternative strategies to cope with environment variability, which could be crucial for their responses to climate changes. However, empirical evidence is still scarce. In this study, we tested how skin coloration in natural populations of brown trout Salmo trutta fario would reflect alternative reproductive strategies in different environments. We experimentally manipulated the flow regime (constant vs. variable) in artificial streams and compared the reproductive investment (body mass and plasma triglyceride variations), innate immunity (variations in plasma peroxidase and lysozyme activity) and reproductive success (number of mates and offspring) of differently colored brown trout over 2 reproductive seasons. Results show that darker males had a higher reproductive investment, but similar immune variations during reproduction compared to paler males. In addition, this reproductive investment was higher in variable environments. However, this did not translate into a higher reproductive success in variable environments, as darker males had a similar number of mates and offspring compared to their paler counterparts under a variable water flow. Since climate change will likely lead to an increased flow variability in the next decades, this suggests that darker brown trout could incur a higher energetic cost of reproduction and could be more impacted by climate changes than their paler counterparts. This highlights the need to take into account intraspecific variability to better forecast the response of natural populations to climate changes.
Higher growth variability and stronger responses to temperature changes in wild than hatchery-reared sea trout (Salmo trutta L.)
<p>Each year, millions of hatchery-reared sea-run brown trout <i>Salmo trutta</i> L. (the sea trout) juveniles are released into the natural environment in the Atlantic region. The aim of this work was to investigate the growth responses of sea trout to changing temperature conditions and to compare the growth plasticity between wild and hatchery-reared fish. Scales were collected from sea trout in a selected river flowing into the southern Baltic Sea. We analyzed the scale increment widths as a proxy of somatic growth and investigated the interannual variabilities and differences in growth between fish groups (wild and hatchery-reared). We used mixed-effects Bayesian modeling and ascribed the variances in growth to different sources. Furthermore, we developed indices of interannual (2003–2015) growth variation in the marine and freshwater phases of the life cycle of the fish and analyzed the relationships between trout growth and temperature. Temperature positively affects fish growth, regardless of the origin of the fish. We observed stronger relationships between fish growth and temperature conditions in the marine phase than in the freshwater phase. Additionally, wild sea trout are characterized by stronger responses to temperature variability and higher phenotypic plasticity of growth than those of the hatchery-reared individuals. Therefore, wild sea trout might be better suited to changing environmental conditions than hatchery-reared sea trout. This knowledge identifies possible threats in management actions for sea trout with an emphasis on ongoing climate change.</p>
Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
<p>Mountain forests are important carbon stocks but are threatened by increased insect outbreaks and climate driven forest conversion. Soil microorganisms play an eminent role in nutrient cycling in forests and form the basis of soil food webs. Uncovering the driving factors shaping microbial communities and functioning at mountainsides worldwide is of importance to better understand their dynamics at local and global scales. We investigated microbial communities and their drivers along an elevational gradient of primary forests at Changbai Mountain, China. We analysed substrate-induced respiration and phospholipid fatty acids (PLFA) in litter and two soil layers at seven sites. In the litter layer the increase in microbial biomass (Cmic) as well as in stress indicator ratios with elevation were negatively correlated with Ca concentrations indicating increased nutritional stress in high microbial biomass communities at sites with lower Ca availability. PLFA profiles in litter separated low and high elevations, this was less pronounced in soil, suggesting that leaflitter functions as buffer for soil microbial communities. Annual variations in temperature correlated with PLFA profiles in all layers, while annual variations in precipitation correlated with PLFA profiles in upper soil only. Furthermore, the availability of resources, soil moisture, Ca concentrations and pH structured the microbial communities. Pronounced changes in Cmic and stress indicator ratios in the litter layer between pine dominated (800 – 1100 m) and spruce dominated (1250 – 1700 m) forests indicated a shift in the structure and functioning of microbial communities between forest types. The study highlights strong changes in microbial community structure and functioning along elevational gradients, but also shows that these changes and their driving factors vary between layers. Besides annual variations in temperature and precipitation, carbon accumulation and nitrogen acquisition shape changes in microbial communities with elevation at Changbai Mountain.</p>
Heart Rate Variability Change After Liver Transplantation
ClinicalTrials.gov study NCT00778687. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prehabilitation for Pelvic Cancer: Changes in Setup Variability
ClinicalTrials.gov study NCT03242538. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of the Changes of Pleth Variability Index During Preoxygenation for Predicting Hypotension
ClinicalTrials.gov study NCT04991220. IPD Sharing: NO. Countries: 1. Publications: 14.
Prediction of Fluid Responsiveness From Passive Leg Raising Induced Changes in Perfusion Index and Pleth Variability Index
ClinicalTrials.gov study NCT03499860. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Comparison of Videolaryngoscope and Direct Laryngoscope in IOP Changes, Throat Pain, IT and Hemodynamic Variables
ClinicalTrials.gov study NCT03279172. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Variable effects of a changing climate on lay dates and productivity across the range of the Red-cockaded Woodpecker
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Data from: Walking with wider steps changes foot placement control, increases kinematic variability and does not improve linear stability
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Ecohydrological response of a tropical peatland to rainfall changes driven by intertropical convergence zone variability
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Data from: Deep-sea ostracod faunal dynamics in a marginal sea: Biotic response to oxygen variability and mid-Pleistocene global changes
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Data from: The response of amphibian larvae to environmental change is both consistent and variable
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Data from: Attributing changes in the distribution of species abundance to weather variables using the example of British breeding birds
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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.