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1,457 results for “feedback”
Positive and Negative Feedback from the Supernova remnant IC443: first results from SHREC
<p>Supernova remnants (SNRs) drive large-scale shocks that locally enhance the density of the surrounding material but also inject vast amounts of energy and momentum that largely perturb and disperse the Interstellar Medium (ISM). The interplay between these two effects is considered paramount in regulating the star formation efficiency in galaxies. However, how SNRs affect the conditions of density and temperature of the ISM is not well constrained from an observational point of view. In this poster, I present our exploratory large single-dish observing program SHREC, aimed to observe the molecular shock tracer SiO(2-1) toward a sample of 30 SNRs known to be interacting with molecular clouds. I introduce the aim and technical aspects of SHREC and present the first results obtained toward the SNRs IC443. IC443 is a well known SNR, expanding into and interacting with a nearby toroidal molecular cloud. Toward the major site of interaction, known as clump G, we estimate the mass of the shocked gas to be 100 Msun. The shock driven by IC443 into this material enhances its density by a factor >10, to value consistent with those required to ignite star formation. Finally, we estimate that between 35-50% of the momentum injected by IC443 is transferred to the nearby molecular material. Our work therefore indicates that the molecular ISM is an important carrier of the SNR momentum and that the SNR-molecular cloud interaction play a crucial role in the regulating star formation in galaxies.</p>
Global soil moisture–atmosphere feedback and N2O emission dataset
<p><span>Soil moisture is essential to microbial nitrogen (N)-cycling networks in terrestrial ecosystems. Studies have found that soil moisture–atmosphere feedbacks dominate the changes in land carbon fluxes. </span><span>However, the influence of soil moisture–atmosphere feedbacks on the N fluxes changes, and the underlying mechanisms remain highly unsure, leading to uncertainties in climate projections. </span><span>To fill this gap, we utilized in situ observation coupled with gridded and remote sensing data to analyze N<sub>2</sub>O fluxes emissions globally. Here, we investigated the synergistic effects of temperature, hydroclimate on global N<sub>2</sub>O fluxes, as the result of soil moisture–atmosphere feedback impact on N fluxes. We found that soil moisture–temperature feedback dominates land N<sub>2</sub>O emissions by controlling the balance between nitrifier and denitrifier genes. The mechanism is that atmospheric water demand increases with temperature and thereby reduces soil moisture, which increases the dominant N<sub>2</sub>O production nitrifier (containing <em>amoA </em>AOB gene) and decreases the N<sub>2</sub>O consumption denitrifier (containing the<em> nosZ</em> gene), consequently will potential increasing N<sub>2</sub>O emissions. However, we find that the spatial variations of soil–water availability as a result of the nonlinear response of soil moisture to vapor pressure deficit caused by temperature are some of the greatest challenges in predicting future N<sub>2</sub>O emissions. Our data-driven assessment deepens the understanding of the impact of soil moisture-atmosphere interactions on the soil N cycle, which remains uncertain in earth system models. We suggest that the model needs to account for feedback between soil moisture and atmospheric temperature when estimating the response of the N<sub>2</sub>O emissions to climatic change globally, as well as when conducting field-scale investigations of the response of the ecosystem to warming.</span></p>
Data that are used to Explain the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity"
<p> This dataset is for the draft "Explaining the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity".</p> <p> The netcdf file "last150yravg_picontrol.nc" represents the time-average fields for the last 150 years of PI-control experiment. Netcdf files beginning with "last20yravg" represent the time-average fields for the last 20 years (Year131-150) of abrupt forcing experiments. Note that "0p5co2" in the file name denotes 0.5xCO2, "4psolar" denotes +4% solar radiation, and "m2psolar" denotes -2% solar radiation.</p> <p> The netcdf files beginning with "fixedsst" represent the time-average fields for fixed-SST experiments, where the file "fixedsst_control.nc" denotes the fixed SST control experiment.</p> <p> The netcdf files beginning with "uni" represent the time-average fields for uniform warming/cooling experiments, where the magnitude of SST change is indicated by the file names (m2K denotes -2K).</p> <p> The text file "GFA_partialR_over_partial_SST" denote the value of partial_R over partial_SST for each grid, and its grid (96x144) is same as other netcdf files in this datasets .</p> <p> </p>
Swarming Behavior Emerging from the Uptake–Kinetics Feedback Control in a Plant-Root-Inspired Robot
<p>This video is a supporting material of the paper "Swarming Behavior Emerging from the Uptake–Kinetics Feedback Control in a Plant-Root-Inspired Robot". The paper presents a plant root behavior-based approach to defining the control architecture of a plant-root-inspired robot, which is composed of three root-agents for nutrient uptake and one shoot-agent for nutrient redistribution. By taking inspiration and extracting key principles from the uptake of nutrient, movements and communication strategies adopted by plant roots, we developed an uptake–kinetics feedback control for the robotic roots. Exploiting the proposed control, each root is able to regulate the growth direction, towards the nutrients that are most needed, and to adjust nutrient uptake, by decreasing the absorption rate of the most plentiful one. Results from computer simulations and implementation of the proposed control on the robotic platform, Plantoid, demonstrate an emergent swarming behavior aimed at optimizing the internal equilibrium among nutrients through the self-organization of the roots. Plant wellness is improved by dynamically adjusting nutrients priorities only according to local information without the need of a centralized unit delegated for wellness monitoring and task allocation among the agents. Thus, the root-agents can ideally and autonomously grow at the best speed, exploiting nutrient distribution and improving performance, in terms of exploration capabilities and exploitation of resources, with respect to the tropism-inspired control previously proposed by the same authors.</p> <p>The supplementary video (Supplementary Video S1) shows how each agent independently moves according to their internal state and local perception, and the immediate response of the uptake–kinetics mechanism that, as soon as the missing nutrient is inserted in the environment, leads to a decreasing of the imbalance of nutrients in the whole plant.</p>
Membrane Fluctuation Model to Understand the Effect of the Receptor Nanoclustering on the Activation of Natural Killer Cells through Biomechanical Feedback
<p>Data for all the plots from original paper "Membrane Fluctuation Model to Understand the Effect of the Receptor Nanoclustering on the Activation of Natural Killer Cells through Biomechanical Feedback".</p>
Intraspecific plant-soil feedback in four tropical tree species is inconsistent in a field experiment
<p>Soil microbes can influence patterns of diversity in plant communities via plant-soil feedbacks. Intraspecific plant-soil feedbacks occur when plant genotype causes variation in soil microbial composition, resulting in differences in the performance of seedlings growing near their maternal plants versus seedlings growing near non-maternal conspecific plants. How consistently such intraspecific plant-soil feedbacks occur in natural plant communities is unclear, especially under variable field conditions. We conducted an in situ experiment with four native tree species on Barro Colorado Island (BCI), Panama. Seedlings of each species were transplanted beneath their maternal tree or another conspecific tree in the BCI forest. Mortality and growth were assessed at the end of the wet season (~4 months post-transplant) and at the end of the experiment (~7 months post-transplant). Differences in seedling performance among field treatments were inconsistent among species and eroded over time. Effects of field environment were detected at the end of the wet season in two of the species: <em>Virola surinamensis</em> seedlings had higher survival beneath their maternal tree than other conspecific trees, while the opposite pattern was found in <em>Ormosia macrocalyx</em>. However, these differences disappeared by the end of the experiment. Our results suggest that intraspecific plant-soil feedbacks may not occur consistently under field conditions in tropical tree species and may have a limited role in determining seedling performance in tropical tree communities. Future studies are needed to elucidate the environmental and genetic factors that determine the incidence and direction of intraspecific plant-soil feedbacks in plant communities.</p>
Supplementary materials for "Phonetic differences between affirmative and feedback head nods in German Sign Language (DGS): A pose estimation study"
<div> <pre>This is the supplementary data for the article "Phonetic differences between affirmative and feedback head nods in German Sign Language (DGS): A pose estimation study" by Anastasia Bauer, Anna Kuder, Marc Schulder and Job Schepens.<br><br>The supplementary data consists of three components, stored in separate directories:<br>- <code>annotations/</code>: The manual annotations of head nod categories, produced by Anna Kuder and Anastasia Bauer.<br>- <code>pose_analysis/</code>: Code and input/output files for the pose-based automatic analysis of phonetic attributes head nods, produced by Marc Schulder.<br>- <code>statistical_analysis/</code>: Code for the statistical analysis of the other two components and for the creation of related figures, produced by Job Schepens.<br><br>For further details, see the README files of the respective directories.</pre> </div>
Carbon Dioxide and Methane Flux Meta Analysis, Schaerer et al: Permafrost microbes unleashed: thaw reactors provide timely insights into greenhouse gas feedbacks for climate stewardship
<p>Meta-analysis results and workflow: <strong>Meta-Analysis-Report-V1.pdf</strong> </p> <p>raw data tables for input into meta-analysis:</p> <p><strong>co2_flux_by_layer_temp.csv</strong></p> <p><strong>co2_flux_by_layer_time.csv</strong></p> <p><strong>ch4_flux_by_layer_temp.csv</strong></p> <p><strong>ch4_flux_by_layer_time.csv</strong></p> <p><strong>co2_flux_by_headspace_temp.csv</strong></p> <p>(Data included in these tables was digitized using the R package metaDigitize)</p> <p>****</p> <p>We also attempted to summarize the raw data from 12 studies which is summarized in the <strong><em>Flux_Summary_Report </em></strong>document. we converted all units into mg C / g Soil * d (calculations are included in the <strong><em>co2_meta_analysis</em></strong> spreadsheet). For studies not reporting raw data or data tables (7/12 studies), we estimated the values from the figures manually. This typically resulted in an estimate of the mean flux of several replicates (all studies had 3-10 replicates). We filled in metadata as well as we could based on the information available in the papers, although there were many gaps. This information is summarized in the <strong><em>flux_data_compilation</em> </strong>spreadsheet.</p> <p>Studies in the raw data comparison include: Mackelprang 2011, Waldrop 2010 & 2021, Barbato 2022, Dang 2022, Muller 2018, Monteaux 2020, Dutta 2006, Lee 2012, O'Donnell 2009, Roy Chowdhury 2014, Trubl 2021.</p>
"Towards Responsible Publishing" - Structured organisational feedback responses
<p><a href="https://www.research-consulting.com/" target="_blank" rel="noopener">Research Consulting</a> and the <a href="https://www.cwts.nl/" target="_blank" rel="noopener">Centre for Science and Technology Studies (CWTS)</a> were commissioned to determine to what extent the vision, mission and objectives set out in the TRP proposal serve the needs of the global research community. Through a consultative approach, we sought to assess whether there is appetite for the type of change proposed by cOAlition S in the TRP proposal. In addition, we aimed to understand how the ‘Towards Responsible Publishing’ proposal may be modified or refined to ensure it resonates with the research community and sees broad adoption; identify any showstoppers or unintended consequences and propose proactive measures to mitigate them, ensuring successful implementation; and ascertain whether the existing scholaly communication infrastructure can support this proposal and if not, identify where research funders can strengthen the infrastructure. </p> <p>As part of our consultation, we gathered structured organisational feedback from underrepresented groups and organisations in the scholarly communication ecosystem. We received responses from a total of 10 organisations, of which 9 were willing to be named publicly in the document enclosed below and 1 opted to remain anonymous. We would like to thank our contributors, which include (in alphabetical order) Abel Laerte Packer (sciELO), Arianna Becerril García (Redalyc), Consejo Directivo LA Referencia, Red Latinoamericana y de España para la Ciencia Abierta (LA Referencia), Dominique Babini (CLASCO), Iryna Kuchma (EIFL), Kazuhiro Hayashi (NISTEP), Laura Rovelli (CLASCO), Milica Ševkušić (EIFL), Moumita Koley (IISc), Susan Veldesman (ASSAf) and Takayuki Hayashi (GRIPS). </p>
Ideas and feedback collected during the INVITE Co-creation Workshop
<p>In the framework of the INVITE Co-Creation Workshop, a diverse group of OI stakeholders engaged in a series of co-creative brainstorming and ideation sessions to co-define demand-driven designs and features for INVITE’s pilots and OI2 Lab. During the workshop six tables were set up to discuss six themes, each of which addressed key aspects of the pilots, services and tools to be deployed through the OI2 Lab. The discussions followed a semi-structured approach and were guided by six key questions, unique to each theme. With that in mind, this dataset comprises of both qualitative and quantitative data, as derived from the participants’ responses to each of these six questions per theme along with any additional ideas. </p>
Quantitative Characterisation of α-Synuclein Aggregation in Living Cells through Automated Microfluidics Feedback Control
<p>Data, computational software, and supplemental movies generated in the study: "Quantitative Characterisation of α-Synuclein Aggregation in Living Cells through Automated Microfluidics Feedback Control."</p>
Laser wakefield acceleration with active feedback at 5 Hz
<p>The data and code used to produce the plots in Dann <em>et al.</em>, "Laser wakefield acceleration with active feedback at 5 Hz", <em>Phys. Rev. Accel. Beams</em> (2019).</p> <p>This is a sub-set of the data collected during an experiment investigating the use of active feedback in laser wakefield acceleration driven by a 5 Hz, 20 TW laser. The complete data set weighed in at over 800 GB, so this only includes the data used in the above-mentioned publication.</p>
Feedback on the draft implementation guidance of Plan S
<p>Launched in September 2018, cOAlition S is an initiative of an international consortium of research funders to make full and immediate Open Access to research publications a reality. It is built around Plan S, which consists of one target and 10 principles. In November 2018, cOAlition S released a draft guidance on the implementation of Plan S for public feedback. This process, which lasted from November 2018 to February 2019, collected more than 600 feedback statements from universities, learned societies, publishers, scholarly associations, and individual scholars from more than 40 countries. The documents include all responses and accompanying statements received during the process. Responses have been analysed and an updated guidance on implementation was adopted and published in May 2019. In order to facilitate the download of the full results, a Zip file (002_Plan S_Feedback_all_files) has been added in version 3. Please visit cOAlition S website for more information: <a href="https://www.coalition-s.org/">https://www.coalition-s.org/</a></p>
Data for: Soil domestication by rice cultivation results in plant-soil feedback through shifts in soil microbiota
<p>This repository contains the data for the manuscript entitled "Soil domestication by rice cultivation results in plant-soil feedback through shifts in soil microbiota." Analysis scripts can be found at <a href="https://github.com/bulksoil/SoilDomestication">https://github.com/bulksoil/SoilDomestication</a></p>
Data in support of : Volumetric Deformation Feedback on Fault Stability and Strain Localization Precursor to Stick-Slip Behavior in Laboratory Earthquakes.
<p>This folder contains 3 .txt files:</p> <p> </p> <p>LP1 — low pressure data set.</p> <p>HP1 — High confining pressure experiement.</p> <p>HP2 — High cinfining pressure repeat experiment.</p> <p> </p> <p>The .txt files contain the following columns: Time (s), Pc (bar), VerticalLoad (kN), Horizontalload (kN), DisplacementOE (mm), StrainSG_xx, StrainSG_yy, StrainSG_xy.</p> <p>Strain gauge data are pre-filtered. All other data are raw.</p>
Contribution of surface and cloud radiative feedbacks to Greenland Ice Sheet meltwater production during 2002-2023
<p>These datasets accompany the paper titled "Contribution of surface and cloud radiative feedbacks to Greenland Ice Sheet meltwater production during 2002-2023". </p>
Dataset (Part II) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part II of the dataset (from sub-06 to sub-09).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Dataset (Part III) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part III of the dataset (sub-10). </strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) </p>
Dataset (Part I) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part I of the dataset (from sub-01 to sub-05).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Eng SafeFood4EU Participants Feedback Survey
<p>This file contains the data set for the English questionnaire results, including figures for the SafeFood4EU project and Course Results. A separate file is available for the Bulgarian dataset. </p>
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.