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53 results for “social coding”
Data and code from: Growth strategies of a model picoplankter depend on social milieu and pCO2
<p><span><span><span><span><span><span><span><span><span><span><span>Aquatic microbial primary producers exist in genetically diverse populations, but are often studied as single lineages, so that interpreting single lineage studies relies critically on understanding how microbial growth differs with social milieu. The properties of lineages grown alone often fail to predict the growth of these same lineages in the presence of conspecifics, and this discrepancy points towards an opportunity to improve our understanding of how multilineage assemblages of a species are shaped. We demonstrate that different lineages of a marine picoplankter modulate their lineage growth rate in response to the presence of non-self conspecifics, even when resource competition is effectively absent. This explains why growth rates of lineages in isolation do not reliably predict their growth rates in mixed culture, or the lineage composition of assemblages. The diversity of growth strategies observed are thus consistent with lineage-specific energy-allocation that depends on social milieu. Since lineage growth is only one of many traits determining fitness in natural assemblages, we propose that in all but the poorest quality environments where allocating maximum energy to growth is the only viable strategy, we should expect intraspecific variation in growth strategies, with more strategies possible in ameliorated environments, such as high CO<sub>2</sub> for many marine picoplankton. </span></span></span></span></span></span></span></span></span></span></span></p>
Data and code supporting the main finding of Kaneko and Matsumoto et al. 2024 "Deciphering social traits and pathophysiological conditions from natural behaviors in common marmosets"
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Reproduction data and code for "The social cost of carbon dioxide under climate-economy feedbacks and temperature variability"
<p>### Data for Kikstra et al. 2021, ERL, The social cost of carbon dioxide under climate-economy feedbacks and temperature variability</p> <p>This repository contains data and scripts for the main text figures in the article Kikstra, J.S., Waidelich, P., Rising J., Yumashev, D., Hope, C., Brierley, C.M. (2021) The social cost of carbon dioxide under climate-economy feedbacks and temperature variability, Environmental Research Letters. DOI <a href="https://doi.org/10.1088/1748-9326/ac1d0b">https://doi.org/10.1088/1748-9326/ac1d0b</a></p> <p>##### Authors<br> - Jarmo S. Kikstra<br> - Paul Waidelich<br> - James Rising<br> - Dmitry Yumashev<br> - Chris Hope<br> - Chris M. Brierly</p> <p>Correspondence: kikstra@iiasa.ac.at</p> <p>##### Data repository structure<br> - data # hosts all data that is used to produce the main text figures<br> - growth-effects # hosts model data for results from model runs with persistent damages, for figure 3 and figure 4<br> - PAGE-ANN-Growth_ModelResults_PersistenceDistribution # annual PAGE version, empirical persistence distribution<br> - PAGE-arVAR-Growth_ModelResults_PersistenceDistribution # annual PAGE version with temperature variability, empirical persistence distribution<br> - PAGE-Growth_ModelResults_FixedPersistence # main version, with 10 time steps, fixed persistence levels<br> - PAGE-Growth_ModelResults_LowPassFilterPersistenceDistribution # main version, with 10 time steps, low pass filter persistence distribution<br> - PAGE-Growth_ModelResults_PersistenceDistribution # main version, with 10 time steps, empirical persistence distribution<br> - page-ice # model data for results from PAGE-ICE base model runs<br> - scco2-montecarlo # for figure 6 data<br> - update-page # for figure 2 data<br> - variability # for figure 5 data<br> - extended data # hosts other data used in the manuscript or which we simply want to publish alongside. Example for naming convention for each variable in […] behind the files.<br> - economic-impact # model output variables “EquityWeighting_ te_totaleffect{_ann_yr}.csv” [PAGE-ICE_SSP1-1.9_discountedimpacts.csv]<br> - montecarlo-draws # model output variable “trialdata.csv” [PAGE-ICE_SSP1-1.9_trialdata.csv]<br> - sensitivity # hosts selected sensitivity analysis data used in the appendix<br> - temperature # model output variable “ClimateTemperature_rt_g_globaltemperature.csv” [PAGE-ICE_SSP1-1.9_globaltemperature.csv]<br> - scripts # has one script for each main text figure,<br> - figures # hosts main text figures as they come out of the scripts<br> - README.md # explanation for the repository</p>
Data and code from: Growth strategies of a model picoplankter depend on social milieu and pCO2
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Code and data of MS "Null models for animal social network analysis and data collected via focal sampling: pre-network or node network permutation?"
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Data from: Social coding of the multisensory space around us
Multisensory integration of stimuli occurring in the area surrounding our bodies gives rise to the functional representation of peri-personal space (PPS). PPS extent is flexible according to the affective context and the target of an action, but little is known about how social context modulates it. We used an audiotactile interaction task to investigate PPS of individuals during social interaction. Participants had to detect as fast as possible a tactile stimulus while task-irrelevant looming sounds were presented, while they were paired as collaborative dyads and as competitive dyads. We also measured PPS in participants seated near an inactive individual. PPS boundaries were modulated only when participants collaborated with a partner, in the form of an extension on the right hemispace and independently of the location of the partner. This suggests that space processing is modified during collaborative tasks. During collective actions, a supra-individual representation of the space of action could be at stake in order to adapt our individual motor control to an interaction as a group with the external world. Reassessing multisensory integration in the light of its potential social sensitivity might reveal that low-level mechanisms are modified by the need to interact with others.
Data and code for "Persistent macroeconomic damages raise social cost of carbon"
<p>This repository contains data and code to reproduce findings and figures of the paper:</p> <p>"Persistent macroeconomic damages raise social cost of carbon"</p> <p>Maximilian Kotz, Christopher Callahan, Annika Stechemesser, Leonie Wenz</p> <p>Details are given in the README and the repository will likely be updated in coming months.</p> <p>For questions please contact: maxkotz@pik-potsdam.de</p> <p> </p>
Time series data and codes from: Quantifying social media predictors of violence during the 6 January US Capitol insurrection using Granger causality
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Data from: Social coding of the multisensory space around us
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RNA-sequencing and bioinformatics analysis of long non-coding RNAs and mRNAs in the prefrontal cortex of mice following repeated social defeat stress
GEO Series GSE127812. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Data and Code Repository for "Essays on Corporate Social Responsibility - Performance, Risk, and Value"
<p>This repository contains data and code for the cumulative dissertation titled "Essays on Corporate Social Responsibility - Performance, Risk, and Value" at the University of St.Gallen (HSG). The dissertation was submitted in July 2020.</p> <p>The dissertation consists of three essays:</p> <ol> <li>Corporate Social Performance and Earnings Quality: The Role of Materiality<br> (Fauser, Daniel V. (2019) <em>Corporate Social Performance and Earnings Quality: The Role of Materiality.</em> Journal of Environmental Law and Policy, 2019 (02). 127-160. ISSN 0931-0983)</li> <li>Risk Mitigation of Corporate Social Performance in US Class Action Lawsuits<br> (Under review at the Financial Analysts Journal)</li> <li>Corporate Social Irresponsibility and Credit Risk Prediction: A Machine Learning Approach<br> (Under review at the journal Credit and Capital Markets)</li> </ol>
Time series data and codes from: Quantifying links between social media and the duration and escalation of violence during January 6th US Capitol insurrection
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Code and Data for: "How agency shapes social preferences: Using mouse-tracking to reveal changes in cognitive conflict"
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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.