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1,457 results for “feedback”
Results GFDL No Sullivan Feedback
<p><a href="https://zenodo.org/record/5655246">Contains all model results from GFDL-CM3 RCP8.5 scenarios. Includes Years 245, 2050, 2061, 2075, 2077, 2078, 2081, 2082, 2083, 2085, 2086, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099. These results do not include the feedback using Sullivan et al estimates</a>.</p>
Results GFDL Sullivan Feedback
<p>Contains all model results from GFDL-CM3 RCP8.5 scenarios. Includes Years 245, 2050, 2061, 2075, 2077, 2078, 2081, 2082, 2083, 2085, 2086, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099. These results include the feedback using Sullivan et al estimates of the economic impacts of unmet electricity demand, which reduces productivity in the economic model.</p>
Plant-soil feedback and crop rotation
<p>Plant-soil feedback (PSF) can be a major driver of plant performance in communities, and this concept can be used in selecting crop rotation sequences to maximize agricultural yields. Potential benefits of using PSF in this context include nutrient use optimization, pathogen reduction and enhancement of mutualisms between crops and microbes. Yet, the contributions of these combined mechanisms are poorly understood. Here we investigated the relative contributions of these mechanisms using five major crops commonly cultivated in rotation (alfalfa, canola, maize, soybean and wheat) under controlled conditions. We trained soil by growing each of the five crops in a 'training phase', and then reciprocally planted the five crops in the trained soils in a 'feedback phase'. To tease out soil biota from nutrient effects, we established three treatments: 'control' (trained unsterilized soil used in the feedback phases), 'biota' (sterilized soil in the feedback phase inoculated with soil biota from the 'control' treatment after the training phase), and 'nutrient' (sterilized soils in both phases). Plant-soil feedback for each crop was calculated by comparing the total biomass of each crop grown in soils trained by each of the four other crops (i.e., in rotation) against total biomass in self-trained soil (i.e., monocropping). We found that PSF values varied among crop combinations in all the treatments, but such variation was the greatest in the 'nutrient' treatment. Overall, soil 'biota' feedback tended to be lower whereas 'nutrient' feedback tended to be greater compared to the unsterilized 'control' soil, suggesting that effects of antagonistic biota outweighed those of beneficial microbes in the 'biota' treatment, and that plants optimized nutrient uptake when the soil microbiome was absent in the 'nutrient' treatment. Furthermore, soils in the 'nutrient' treatment trained by the legume crops (alfalfa and soybean) tended to provide the greatest positive feedback, emphasizing the important legacy of N<sub>2</sub>-fixers in crop rotation. Taken together, our data demonstrate how nutrients and soil biota can be integral to PSFs among crops, and that assessing PSFs under controlled conditions can serve as a basis to determine the most productive crop rotation sequences prior to field testing.</p>
The effect of haptic feedback in the balance of a bicycle
<p>Roll_data_perturbation folder includes the data of all 20 participants. The signals are organized in structures and contain both pure measurement data (labeled data) and the outputs of the Finite Impulse Response Model (labeled black_box).</p>
Lanthanide doped nanoheaters with reliable and absolute temperature feedback
<p>Dataset of https://zenodo.org/record/6312249#.Yi8qn3rMJPZ</p>
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Video]
<p>Video of the paper submitted at RO-MAN 2022 </p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p> <p>Code for trainings and test available at:</p> <p>https://github.com/giorgionicola/SMAHRCO</p>
Missing eddy feedback may explain weak signal to noise ratios in climate predictions
<p>Python scripts and data files required to reproduce all figures in the publication entitled "Missing eddy feedback may explain weak<br> signal to noise ratios in climate predictions". Please reference the publication if using this code or these data.</p>
Abandoned pastures and restored savannahs have distinct patterns of plant-soil feedback and nutrient cycling compared with native Brazilian savannahs.
<p>Around 40% of the original Brazilian savannah territory is occupied by pastures dominated by fast-growing exotic C4 grasses, which impact ecosystem nutrient cycling. The restoration of these areas depends on the re-establishment of soil processes. We assessed how restoration of abandoned pastures through direct seeding of native species and land-management practices (burning and ploughing) affect soil nutrient cycling dynamics compared to native savannahs. We compared the activity of soil enzymes related to carbon (C), nitrogen (N) and phosphorus (P) cycling, as well as soil microbial biomass and soil chemical properties, such as pH and the concentration of N, P, potassium (K) and soil organic matter, among abandoned pastures, native savannah and restored areas. Abandoned pastures had faster nutrient turnover than native savannah, dominated by slow-growing native species. This pattern was evident from the overall higher biomass-specific enzyme activity in abandoned pastures than in native savannah. Compared with native savannah, restored areas had similar levels of soil enzyme activity, but lower microbial biomass and soil organic matter. Synthesis and application: The low enzyme activity in restored areas was likely related to a reduced soil organic carbon concentration due to practices such as burning and ploughing, rather than plant-soil feedback. The lower immobilization of nutrients in microbial biomass and lower retention of nutrients in restored areas, compared with native savannah, is expected to favour the re-establishment of fast-growing exotic species. Furthermore, the modifications of soil chemical and microbial properties related to abandonment of pastures did not influence restoration outcomes, because land-management practices applied prior to direct seedling had a major impact on the soil microbial community and soil fertility. Therefore, restoration of abandoned pastures should consider a greater focus on restoring soil carbon and nutrient cycling.</p>
Datasets and models for "No general stability conditions for marine ice-sheet grounding lines in the presence of feedbacks"
<p>This repository contains datasets shown in figures (figs.tar.gz) of the manuscript "No general stability conditions for marine ice-sheet grounding lines in the presence of feedbacks" (doi: 10.1038/s41467-022-29892-3) and COMSOL<sup>TM</sup> models (model.tar.gz) used in the study. A folder “figures” contains data displayed on the corresponding figures. The data sets in folders “Fig1a’” and “Fig1b” are from Kittel et al. (2021) for Antarctica and Fettweis et al. (2017) for Greenland. All other data are outputs of numerical simulations with COMSOL models contained in a folder “model”. The models have been created with COMSOL Multiphysics version 5.6.0.401 and Optimization Module.</p> <p> </p> <p>Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere, 15, 1215–1236, https://doi.org/10.5194/tc-15-1215-2021, 2021.<br> Model output was downloaded from https://zenodo.org/record/4459259</p> <p>Fettweis, X., Box, J. E., Agosta, C., Amory, C., Kittel, C., Lang, C., van As, D., Machguth, H., and Gallée, H.: Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model, The Cryosphere, 11, 1015–1033, https://doi.org/10.5194/tc-11-1015-2017, 2017.<br> Model output was downloaded from ftp://ftp.climato.be/fettweis/MARv3.5/Greenland/</p>
DATASET J. Stat. Mech. (2022) 053209: "Virtual double-well potential for an underdamped oscillator created by a feedback loop"
<p><strong>Matlab Figures: </strong></p> <p>Fig_i.fig corresponds to the source file used to plot the figures of the article</p> <p><strong>Simulation and Model codes: Matlab script</strong></p> <p>Simu_and_Model.m is the code used to:</p> <p>1) Simulate trajectories of the underdamped cantilever in the virtual double well potential with hysteresis at the comparator switches.</p> <p>2) Compute from the simulation the steady state temperature and the crossing rate.</p> <p>2) Compute and plot the model's prediction regarding the steady state temperature and the crossing rate. </p> <p><strong>static_hyst_XX.mat : Matlab dataset</strong></p> <p>It is experimental data of the underdamped cantilever in vacuum trapped in a double well potential with hysteresis at the switches. It is not the data used in the article. Indeed:</p> <p>1) The velocity distributions of the article were the ones of the analogical implementation of the feedback loop with hysteresis. Here we propose as an example a more recent dataset from the numerical implementation of the feedback loop with a chosen hysteresis.</p> <p>2) Besides the in this dataset the cantilever is evolving in vacuum so that the cooling effect observed is much more important for a given hysteresis.</p> <p>But as the data treatment to obtain the velocity distribution and the cooling observed are similar to the one detailed in the article, this dataset should be enough for any person interested.</p> <p>Each data file contains in particular: x the position in sigma units (z in the article), X_1 the wells centers position in sigma units (z_1 in the article), x0 the barrier position in sigma units (z_0 in the article), sigma_m the position variance calibrated before the experiment and sigma_protocol the position variance calibrated before every data file. </p> <p> </p> <p><strong>Analyse_velocity_distribution.m : Matlab Script</strong></p> <p>It is the code to treat datasets such as the one provided here "static_hyst". The code recover the data from the files and compute the velocity distributions for different distances between the wells. The velocity variance is deduced from the velocity distributions and matches the variance computed using the velocity power spectrum. The velocity and position spectrums are also displayed.</p> <p> </p>
Data for: Spatial structure within root systems moderates stability of Arbuscular Mycorrhizal mutualism and plant-soil feedbacks
<p>The persistence of mutualisms is paradoxical, as there are fitness incentives for exploitation. This is particularly true for plant-microbe mutualisms like arbuscular mycorrhizae (AM), which are promiscuously horizontally-transmitted. Preferential allocation by hosts to the best mutualist can stabilize horizontal mutualisms, however, preferential allocation is imperfect, with its fidelity likely depending upon the spatial structure of symbionts in plant roots. In this study, we tested AM mutualisms' dependence on two dimensions of spatial structure: the initial spatial association of fungi and the ease of fungal dispersal, through three complementary experiments. We found that fitness of the beneficial AM fungus increased when fungi were initially separate, while initial spatial mixing benefited the fitness of the non-beneficial fungus. These effects were strongest when dispersal was limited, and hosts could discriminate. Additionally, we found that changes in AM fungal proportional abundance induced by spatial structure in roots of a preferentially allocating host produced positive feedbacks on plant growth, showing that interactions between spatial structure and host choice can determine the direction of plant-soil feedbacks. Our results suggest that symbiont spatial structure within plant roots may act as an important modifier of plant preferential allocation and the dynamics of mycorrhizal mutualisms, with potentially cascading effects on plant-plant interactions.</p>
Visual stimuli elicit feedforward and feedback waves in mouse cortex (data and code)
<p>See the readme file for details of the information contained therein.</p> <p>There are also separate readme files for publicly available github repositories from Lyle Muller and the circular statistics toolbox (both for matlab). </p> <p>This dataset includes both the raw data and the analysis code used to process them in Aggarwal et al, Nature Communications, 2022. </p>
Transcription feedback dynamics in the wake of cytoplasmic mRNA degradation shutdown
<p>In the last decade, multiple studies demonstrated that cells maintain a balance of mRNA production and degradation, but the mechanisms by which cells implement this balance remain unknown. Here, we monitored cells’ total and recently-transcribed mRNA profiles immediately following an acute depletion of Xrn1—the main 5′-3′ mRNA exonuclease—which was previously implicated in balancing mRNA levels. We captured the detailed dynamics of the adaptation to rapid degradation of Xrn1 and observed a significant accumulation of mRNA, followed by a delayed global reduction in transcription and a gradual return to baseline mRNA levels. We found that this transcriptional response is not unique to Xrn1 depletion; rather, it is induced earlier when upstream factors in the 5′-3′ degradation pathway are perturbed. Our data suggest that the mRNA feedback mechanism monitors the accumulation of inputs to the 5′-3′ exonucleolytic pathway rather than its outputs.</p>
Assignment feedback in school choice mechanisms
<p>This paper experimentally investigates the provision of real-time feedback about school assignments during the preference reporting period in three widely employed mechanisms: deferred acceptance, top trading cycles, and the Boston mechanism. Adaptive models predict that greater sensitivity to tentative assignments during the reporting period will produce more equilibrium assignments in all three mechanisms. Consistent with adaptive predictions, real-time assignment feedback consistently increased equilibrium assignments but did not increase truthful reporting. These findings suggest that providing feedback about assignments during the preference reporting period could help student assignment mechanisms more reliably achieve policy goals.</p>
A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes
<p>Based on individual trait expression, an agent-based simulation was used to identify an explicit mechanism for understanding colony size dependent behaviour. This is the code for and data from the agent-based simulation</p>
Data from: Efficacy of negative feedback in the HPA axis predicts recovery from acute challenges.
The glucocorticoid stress response mediates a suite of physiological and behavioral changes that allow vertebrates to cope with transient stressors. Chronically elevated glucocorticoid levels are known to result in a variety of organismal costs, but relatively little is known about the downstream effects of mounting a series of brief, acute spikes in circulating glucocorticoids. Conceptual models of stress suggest that repeated acute stressors might produce 'wear-and-tear' on the stress response system when encountered in sequence. We used a novel technique to experimentally induce acute corticosterone spikes on either three or six consecutive days in incubating tree swallows. Consistent with the 'wear-and-tear' hypothesis, we found that i) a sequence of corticosterone spikes produced cumulative effects on corticosterone regulation, ii) treatment frequency predicted the severity of consequences, and iii) individual variation in the ability to terminate the stress response through negative feedback predicted the duration of physiological disruption in the group that experienced the most frequent challenges. Our results illustrate the importance of assessing multiple aspects of the hormonal stress response and have implications for understanding both individual and population resilience to repeated transient stressors.
P2I feedback sheet dataset
<p>Dataset of the Path2Integrity project from the P2I feedback sheet (P2IFS). The data collection took place between 2020 and 2022.</p>
Assignment Feedback in School Choice Mechanisms
<p>Data and supplementary materials for the manuscript entitled "Assignment Feedback in School Choice Mechanisms." </p>
Older populations of the invader Solidago canadensis exhibit stronger positive plant-soil feedbacks and competitive ability in China
<p><strong>PREMISE</strong></p> <p>The enemy release hypothesis predicts that release from natural enemies, including soil-borne pathogens, liberates invasive plants from a negative regulating force. Nevertheless, invasive plants may acquire novel enemies and mutualists in the introduced range, which may cause variable effects on invader growth. However, how soil microorganisms may influence competitive ability of invasive plants along invasion chronosequences has been little explored.</p> <p><strong>METHODS</strong></p> <p>Using the invasive plant <em>Solidago canadensis</em>, we tested whether longer residence times are associated with stronger negative plant-soil feedbacks and thus weaker competitive abilities at the individual level. We grew S. canadensis individuals from 36 populations with different residence times in competition versus no competition and in three different types of soils: (1) conspecific rhizospheric soils, (2) soil from uninvaded patches, and (3) sterilized soil. For our competitor treatments, we constructed synthetic communities of four native species <em>Bidens parviflora, Solanum nigrum, Kalimeris indica,</em> and <em>Mosla scabra</em>, which naturally co-occur with <em>S. canadensis</em> in the field.</p> <p><strong>RESULTS</strong></p> <p>Solidago canadensis populations with longer residence times experienced stronger positive plant-soil feedbacks and had greater competitive responses (i.e., produced greater above-ground biomass and grew taller) in conspecific rhizospheric soils than in sterilized and uninvaded soils. Moreover, <em>S. canadensis</em> from older populations significantly suppressed above-ground biomass of the native communities in rhizospheric and uninvaded soils but not in sterilized soil.</p> <p><strong>CONCLUSIONS</strong></p> <p>The present results suggest that older populations of <em>S. canadensis</em> experience stronger positive plant-soil feedback, which may enhance their competitive ability against native plant communities. </p>
Importance of high-latitude sources for ice-nucleating particles in cold-air outbreaks and the implications for cloud-phase feedback
<p>This dataset contains FLEXPART results and codes for data analysis and visualization used in the MRes research project. </p> <p>Numpy arrays for FLEXPART data are in "data_flexpart.zip" with longitude and latitude coordination files.</p> <p>Codes for data analysis and visualization are in "ipynb.zip". Codes were written in Python language. Codes are categorized by figures in the article. </p>
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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.