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233 results for “Systemic change”
Data from: Genetic changes caused by restocking and hydroelectric dams in demographically bottlenecked brown trout in a transnational subarctic riverine system
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Climate change reshapes the eco-evolutionary dynamics of a Neotropical seed dispersal system
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Data from: Dynamic changes in display architecture and function across environments revealed by a systems approach to animal communication
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Effects of habitat types on the dynamic changes of allocation in carbon and nitrogen storage of vegetation-soil system in sandy grasslands
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Climate change, sex reversal, and lability of sex determining systems
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Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
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Data from: Recurrent insect outbreaks caused by temperature-driven changes in system stability
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Data from: Systemic inflammation during midlife and cognitive change over 20 years: the ARIC study
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Millennial-scale change on a Caribbean reef system that experiences hypoxia
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A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system
<p>A brief session of rightward prismatic adaptation (R-PA) has been shown to alleviate neglect symptoms in patients with right hemispheric damage, very likely by switching hemispheric dominance of the ventral attentional network (VAN) from the right to the left and by changing task-related activity within the dorsal attentional network (DAN). We have investigated this very rapid change in functional organisation with a network approach by comparing resting-state connectivity before and after a brief exposure i) to R-PA (14 normal subjects; experimental condition) or ii) to plain glasses (12 normal subjects; control condition). A whole brain analysis (comprising all 129 regions of interest) highlighted R-PA-induced changes within a bilateral, fronto-temporal network, which consisted of 13 nodes and 11 edges; all edges involved one of 4 frontal nodes, which were part of VAN. The analysis of network characteristics within VAN and DAN revealed a R-PA-induced decrease in connectivity strength between nodes and a decrease in local efficiency within VAN but not within DAN. These results indicate that the resting-state connectivity configuration of VAN is modulated by R-PA, possibly by decreasing its modularity.</p>
Systemic Change in Hydrology: Data
<p>This is the data set accompanying the article "Systemic change in the Rhine-Meuse basin: quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model". For more information about the content of each folder, please refer to the README.txt file. </p>
Pathway simulation runs for manuscript "To and beyond the 2030 Agenda: systems change for accelerating sustainability progress"
<p>Files contains the simulation runs generated by the source code from 'https://github.com/enayatmoallemi/Moallemi_et_al_SDG_SSP_Assessment'.</p> <p>Files '<a href="https://zenodo.org/api/files/340806c1-e040-4036-bcbf-09d44c7f6f29/SDG_experiments_sc1000.tar.gz">SDG_experiments_sc250.tar.gz</a>' to '<a href="https://zenodo.org/api/files/340806c1-e040-4036-bcbf-09d44c7f6f29/SDG_experiments_sc1000.tar.gz">SDG_experiments_sc5000.tar.gz</a> include sensitivity analysis experiments (for different sample sizes from 250 to 5000) .</p> <p><br> Files '<a href="https://zenodo.org/api/files/340806c1-e040-4036-bcbf-09d44c7f6f29/SDG_SSP5-85_exploration_sc10000.tar.gz">SDG_SSP1-26_exploration_sc10000.tar.gz</a>' to '<a href="https://zenodo.org/api/files/340806c1-e040-4036-bcbf-09d44c7f6f29/SDG_SSP5-85_exploration_sc10000.tar.gz">SDG_SSP5-85_exploration_sc10000.tar.gz</a>' include exploratory analysis experiments of the five SSP-RCP combinations over time.</p>
Data from: Modularity and rates of evolutionary change in a power-amplified prey capture system
The dynamic interplay among structure, function and phylogeny form a classic triad of influences on the patterns and processes of biological diversification. While these dynamics are widely recognized as important, quantitative analyses of their interactions have infrequently been applied to biomechanical systems. Here we analyze these factors using a fundamental biomechanical mechanism: power amplification. Power-amplified systems use springs and latches to generate extremely fast and powerful movements. This study focuses specifically on the power amplification mechanism in the fast raptorial appendages of mantis shrimp (Crustacea: Stomatopoda). Using geometric morphometric and phylogenetic comparative analyses, we measured evolutionary modularity and rates of morphological evolution of the raptorial appendage's biomechanical components. We found that "smashers" (hammer-shaped raptorial appendages) exhibit lower modularity and 10-fold slower rates of morphological change when compared to non-smashers (spear-shaped or undifferentiated appendages). The morphological and biomechanical integration of this system at a macro-evolutionary scale and the presence of variable rates of evolution reveal a balance between structural constraints, functional variation, and the developmental and genetic roles in evolutionary diversification.
Data from: Aboveground mammal and invertebrate exclusions cause consistent changes in soil food webs of two subalpine grassland types, but mechanisms are system-specific
Ungulates, smaller mammals, and invertebrates can each affect soil biota through their influence on vegetation and soil characteristics. However, direct and indirect effects of the aboveground biota on soil food webs remain to be unraveled. We assessed effects of progressively excluding aboveground large-, medium- and small-sized mammals as well as invertebrates on soil nematode diversity and feeding type abundances in two subalpine grassland types: short- and tall-grass vegetation. We explored pathways that link exclusions of aboveground biota to nematode feeding type abundances via changes in plants, soil environment, soil microbial biomass, and soil nutrients. In both vegetation types, exclusions caused a similar shift toward higher abundance of all nematode feeding types, except plant feeders, lower Shannon diversity, and lower evenness. These effects were strongest when small mammals, or both small mammals and invertebrates were excluded in addition to excluding larger mammals. Exclusions resulted in a changed abiotic soil environment that only affected nematodes in the short-grass vegetation. In each vegetation type, exclusion effects on nematode abundances were mediated by different drivers related to plant quantity and quality. In the short-grass vegetation, not all exclusion effects on omni–carnivorous nematodes were mediated by the abundance of lower trophic level nematodes, suggesting that omni–carnivores also depended on other prey than nematodes. We conclude that small aboveground herbivores have major impacts on the soil food web of subalpine short- and tall-grass ecosystems. Excluding aboveground animals caused similar shifts in soil nematode assemblages in both subalpine vegetation types, however, mechanisms turned out to be system-specific.
Data from: Population size changes and selection drive patterns of parallel evolution in a host-virus system
Predicting the repeatability of evolution remains elusive. Theory and empirical studies suggest that strong selection and large population sizes increase the probability for parallel evolution at the phenotypic and genotypic levels. However, selection and population sizes are not constant, but rather change continuously and directly affect each other even on short time scales. Here, we examine the degree of parallel evolution shaped through eco-evolutionary dynamics in an algal host population coevolving with a virus. We find high degrees of parallelism at the level of population size changes (ecology) and at the phenotypic level between replicated populations. At the genomic level, we find evidence for parallelism, as the same large genomic region was duplicated in all replicated populations, but also substantial novel sequence divergence between replicates. These patterns of genome evolution can be explained by considering population size changes as an important driver of rapid evolution.
Data from: Changes in melanocyte RNA and DNA methylation favor pheomelanin synthesis and may avoid systemic oxidative stress after dietary cysteine supplementation in birds
Cysteine plays essential biological roles, but excessive amounts produce cellular oxidative stress. Cysteine metabolism is mainly mediated by the enzymes cysteine dioxygenase and γ-glutamylcysteine synthetase, respectively coded by the genes CDO1 and GCLC. Here we test a new hypothesis posing that the synthesis of the pigment pheomelanin also contributes to cysteine homeostasis in melanocytes, where cysteine can enter the pheomelanogenesis pathway. We conducted a experiment in the Eurasian nuthatch Sitta europaea, a bird producing large amounts of pheomelanin for feather pigmentation, to investigate if melanocytes show epigenetic lability under exposure to excess cysteine. We increased systemic cysteine levels in nuthatches by supplementing them with dietary cysteine during growth. This caused in feather melanocytes the downregulation of genes involved in intracellular cysteine metabolism (GCLC), cysteine transport to the cytosol from the extracellular medium (Slc7a11) and from melanosomes (CTNS), and regulation of tyrosinase activity (MC1R and ASIP). These changes were mediated by increases in DNA m5C in all genes excepting Slc7a11, which experienced RNA m6A depletion. Birds supplemented with cysteine synthesized more pheomelanin than controls, but did not suffer higher systemic oxidative stress. These results suggest that excess cysteine activates an epigenetic mechanism that favors pheomelanin synthesis and may protect from oxidative stress.
Data from: The nervous system does not compensate for an acute change in the balance of passive force between synergist muscles
It is unclear how muscle activation strategies adapt to differential acute changes in the biomechanical characteristics between synergist muscles. This issue is fundamental to understanding the control of almost every joint in the body. The aim of this human experiment was to determine whether the relative activation of the heads of the triceps surae (Gastrocnemius medialis [GM], Gastrocnemius lateralis [GL] and Soleus [SOL]) compensates for differential changes in passive force between these muscles. Twenty-four participants performed isometric ankle plantarflexion at 20N.m and 20% of the active torque measured during a maximal contraction, at three ankle angles (30&[deg] of plantarflexion, 0&[deg] and 25&[deg] of dorsiflexion; knee fully extended). Myoelectric activity (electromyography) provided an index of neural drive. Muscle shear modulus (elastography) provided an index of muscle force. Passive dorsiflexion induced a much larger increase in passive shear modulus for GM (+657.6&[plusmn]257.7%) than GL (+488.7&[plusmn]257.9%) and SOL (+106.6&[plusmn]93.0%). However, the neural drive during submaximal tasks did not compensate for this change in the balance of the passive force. Instead, when considering the contraction at 20% MVC, GL RMS EMG was reduced at both 0&[deg] (-39.4&[plusmn]34.5%) and DF 25&[deg] (-20.6&[plusmn]58.6%) compared to PF 30&[deg], while GM and SOL RMS EMG did not change. As a result, the GM/GL ratio of shear modulus was higher at 0&[deg] and DF 25&[deg] than PF 30&[deg], indicating that the greater the dorsiflexion angle, the stronger the bias of force to GM compared to GL. The magnitude of this change in force balance varied greatly between participants.
Diachronic semantics: changes of meaning of words over time and the consequences for keeping classification systems up to date
<p>Meanings of words in a natural language are changing over time under the influences of different factors. Words adapt to new meanings, lose old meanings, rearrange current meanings and change some parts of previous meanings, etc. The language as a living organism needs to be able to accept and adapt to those changes. Like natural languages, artificial languages such as classification systems or subject indexing systems have to adjust to those changes too. Linguist F. de Saussure defines language as a 'system of signs'. If we transfer this definition into the artificial language such as a classification system (e.g., Universal Decimal Classification (UDC)) and define it also as a 'system of signs' which has a vocabulary, a grammar and a syntax, we could draw parallels between phenomena which occur in natural and in artificial languages. The young linguistic discipline which deals with changes in meanings over time is called diachronic semantics and this paper explores how its mechanisms can be used to analyze the changes that occur in classification systems over time. Diachronic semantics uses various mechanisms to describe adapting and changing meanings of words. These mechanisms include: metaphor, metonymy, specialization, generalization, analogy and splitting. This paper also aims to explain the borrowing and adjusting of the theory from the field of linguistics into the field of information sciences.</p>
Analysis of the extent of limbic system changes in multiple sclerosis using FreeSurfer and voxel-based morphometry approaches
<p>Background and Purpose: The limbic brain is involved in diverse cognitive, emotional, and autonomic functions. Injury of the various parts of the limbic system have been correlated with clinical deficits in MS. The purpose of this study was to comprehensively examine different regions of the subcortical limbic system to assess the extent of damage within this entire system as it may be pertinent in correlating with specific aspects of cognitive and behavioral dysfunction in MS by using a fully automated, unbiased segmentation approach. </p> <p>Results: The mean [95% confidence interval] of the total limbic system volume was lower (0.22% [0.21-0.23]) in MS compared to healthy controls (0.27%, [0.25-0.29], p < .001). Pairwise comparisons of individual limbic regions between MS and controls was significant in the nucleus accumbens (0.046%, [0.043-0.050] vs. 0.059%, [0.051-0.066], p = .005), hypothalamus (0.062%, [0.059-0.065] vs. 0.074%, [0.068-0.081], p = .001), basal forebrain (0.038%, [0.036-0.040] vs. 0.047%, [0.042-0.051], p = .001), hippocampus (0.47%, [0.45-0.49] vs. 0.53%, [0.49-0.57], p = .004), and anterior thalamus (0.077%, [0.072-0.082] vs. 0.093%, [0.084-0.10], p = .001) after Bonferroni correction. Volume of several limbic regions was significantly correlated with T2 lesion burden and brain parenchymal fraction (BPF). Multiple regression model showed minimal influence of BPF on limbic brain volume and no influence of other demographic and disease state variables. VBM analysis showed cluster differences in the fornix and anterior thalamic nuclei at threshold p < 0.05 after adjusting for covariates but the results were insignificant after family-wise error corrections. </p> <p>Conclusions: The results show evidence that brain volume loss is fairly extensive in the limbic brain. Given the significance of the limbic system in many disease states including MS, such volumetric analyses can be expanded to studying cognitive and emotional disturbances in larger clinical trials. FreeSurfer ScLimbic pipeline provided an efficient and reliable methodology for examining many of the subcortical structures related to the limbic brain. </p>
MAgPIE model input data sets: Climate change-driven global land-use system adaptation under CMIP6-based crop model projections
<p>These MAgPIE input data sets include harmonized crop yield projections from several crop models (9 crop models and 5 climate models). Additionally, regional, validation, and calibration data sets are also reported.</p>
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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.