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1,670 results for “FORCE”
Suppression force-fields and diffuse competition: Competition de-escalation is an evolutionarily stable strategy
<p><span>Competition theory is founded on the premise that individuals benefit from harming their competitors, which helps them secure resources and prevent inhibition by neighbours. When multiple individuals compete, however, competition has complex indirect effects that reverberate through competitive neighbourhoods. The consequences of such "diffuse" competition are poorly understood. For example, competitive effects may dilute as they propagate through a neighbourhood, weakening benefits of neighbour suppression. Another possibility is that competitive effects may rebound on strong competitors, as their inhibitory effects on their neighbours benefit other competitors in the community. Diffuse competition is unintuitive in part because we lack a clear conceptual framework for understanding how individual interactions manifest in communities of multiple competitors. Here, I use mathematical and agent-based models to illustrate that diffuse interactions—as opposed to direct pairwise interactions—are likely the dominant mode of interaction among multiple competitors. Consequently, competitive effects may regularly rebound, incurring fitness costs under certain conditions, especially when kin-kin interactions are common. These models provide a powerful framework for investigating competitive ability and its evolution and produce clear predictions in ecologically realistic scenarios.</span></p>
Data supporting: "Bayesian diagnosis of climate feedback evolution and forced temperature response"
<p><strong>This data set supports the paper:<br> Calafat, F. M., & Cael, B. B. (2023). Bayesian diagnosis of climate feedback evolution and forced temperature response, Geophysical Research Letters, submitted.</strong></p> <p>Please cite this paper when using this data set.</p> <p><em>Data description:</em></p> <ul> <li><strong>EBM_estimates.nc:</strong> this file contains Bayesian estimates from the energy balance model, including estimates of the climate feedback parameter and forced global average temperature change.</li> <li><strong>EBM_input_data.nc:</strong> this file contains all of the data used as input to the Bayesian energy balance model.</li> </ul>
Market forces determine the distribution of a leaky function in a simple microbial community
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Suppression force-fields and diffuse competition: Competition de-escalation is an evolutionarily stable strategy
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Data from: Proximate and ultimate drivers of variation in bite force in the insular lizards Podarcis melisellensis and Podarcis sicula
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Data from: Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes
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Microtubules growing and shortening under constant force
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Genomic landscape of introgression from the ghost lineage in a gobiid fish uncovers the generality of forces shaping hybrid genomes
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Dual spring force couples yield multifunctionality and ultrafast, precision rotation in tiny biomechanical systems
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Data from: Convolutional neural networks trained on internal variability predict forced response of TOA radiation by learning the pattern effect
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Force propagation between epithelial cell doublets
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Glue genes are subjected to diverse selective forces in Drosophila during Drosophila development
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Data and code for: Nature-based climate solutions can help mitigate the radiative forcing that follows deforestation
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Variation in the relative effects of top-down and bottom-up forces on herbivores and herbivory along an elevational gradient in the southern Appalachian mountains in 2001
It is a well established fact that top-down (predation), bottom-up (resource availability) and lateral (interference) interactions are the dominant biotic forces in terrestrial ecosystems in addition to a host of other interactions like mutualism and symbiosis. The primary emphasis has always been to look for a singular mechanistic explanation in determining community dynamics. The ecological literature is replete with controversy on the subject of whether top-down or bottom-up forces predominate in ecosystems and their role in dynamics of ecological communities. The emerging consensus is that both top-down and bottom-up forces act in concert and the impetus is shifting towards the elucidation of the context, biotic and abiotic, under which these forces come into play. There are very few studies that have addressed this question and looked at the simultaneous interaction of these forces. I propose to study the effects of spatial heterogeneity in biotic and abiotic factors along an elevation gradient on the relative impacts of top-down and bottom-up forces and the result of their interactive effects on folivory. Specifically, I shall address the effects of spatial variation in plant quality and predation pressure and their interactive impacts on insect herbivore biomass and consumption. I shall also address the effects of complexity within/among trophic levels on the impact of these forces. The study aims to bring about a greater understanding of the role played by abiotic factors and complexity in community dynamics.
Data set for initializing and forcing of high-resolution local area model implementations in two ATLAS case study areas, Rockall Bank and Condor Seamount
<p>The data set includes all necessary data for set up, initial and boundary conditions of high-resolution local area model implementations using the ROMS-AGRIF model in two case study areas, Rockall Bank and Condor Seamount, conducted as part of the EU ATLAS project. The data include all computational grids, initialization fields (temperature, salinity) and boundary conditions (temperature salinity, currents, sea surface height) for each case study area.</p>
Underlying data for "The role of electrostatics in enzymes: do biomolecular force fields reflect protein electric fields?"
<p>This dataset contains code, data, trajectories, and figures used in the article "The role of electrostatics in enzymes: do biomolecular force fields reflect protein electric fields?".</p> <p> </p> <p>Contents:</p> <p>code/* - Code used to calculate electric fields from simulation trajectories with either polarizable or additive force fields</p> <p>data/* - Electric fields calculated for the CypA WT cis, WT trans, R55A cis, and R55A trans systems, with AMOEBA, Amber, or Charmm force fields. Each subfolder also includes a set of structural coordinates extracted at 2.5 ns intervals from the first simulation trajectory and used to calculate ONETEP DFT electric fields.</p> <p>figures/* - Underlying data and scripts used to create all figures and movies used in the article.</p> <p>trajectories/* - Simulation trajectories of the CypA WT cis, WT trans, R55A cis, and R55A trans systems</p> <p> </p> <p>Where appropriate, README files include instructions for regenerating data used in the article, and details of the Python packages and other software used to generate data are available in Dependencies.txt</p>
Data from wind-forced simulation of a salinity front
<p>This upload has data from a representative snapshot of a wind-forced simulation of a shallow salinity front, representative of conditions in the Bay of Bengal.</p> <p>1. You will need to use 'gunzip' followed by 'tar -xvf' to extract the zipped and tarred archive.</p> <p>2. The uncompressed archive has three files, one containing the basic flow variables (three components of velocity, temperature, salinity, etc.), and one containing the vertical coordinates of the cell faces/centers.</p>
Dataset from: Experimental Evidence for Algebraic Double-Layer Forces
<p>The dataset from the publication "Experimental Evidence for Algebraic Double-Layer Forces". DOI: <a href="https://doi.org/10.1021/acs.langmuir.9b03077">10.1021/acs.langmuir.9b03077</a></p> <p>Files contain x and y data for the figures in the publication in the ASCII format.</p>
List of Second New Zealand Expeditionary Force (2NZEF) Prisoners of War
<p>Compiled list of New Zealand Prisoners of War, Second New Zealand Expeditionary Force. Contains very basic information such as service number, rank, surname, first initials, unit and approximate date or place of capture (typescript; 109 leaves). Also includes Supplementary Roll to 31 December 1944 and a list of New Zealand prisoners interned at Campo P.G. 85, 1942, with annotations of some serial numbers (incomplete; page 4 of 4 is missing). This publication has been transcribed and matched against the <a href="https://www.aucklandmuseum.com/war-memorial/online-cenotaph/custom-search?k=MS-2009-8&srt=lna&pp=500">Online Cenotaph database</a> part of Auckland War Memorial Museum and includes 6587 entries.</p> <p>List of 2NZEF Prisoners of War, 1941 - 1945. Auckland War Memorial Museum Library. MS-2009-8.</p> <p>Original catalogue record can be found on <a href="https://www.aucklandmuseum.com/collections-research/collections/record/am_library-manuscriptsandarchives-6515">Collections Online</a></p> <p>Field Names</p> <ul> <li><strong>Sequence</strong></li> <li><strong>& Denotes no PW Camp address since capitulation of Italy </strong>– original information</li> <li><strong>ServiceNumber </strong>– original information</li> <li><strong>Updated number</strong> – revised</li> <li><strong>Rank </strong>– original information</li> <li><strong>Lastname </strong>– original information</li> <li><strong>Initials </strong>– original information</li> <li><strong>Unit </strong>– original information</li> <li><strong>Date or Place of Capture </strong>– original information</li> <li><strong>Medal </strong>– original information</li> <li><strong>Full name from original data</strong></li> <li><strong>Confirmed Cenotaph ID </strong>– from Online Cenotaph</li> <li><strong>Confirmed last name </strong>– from Online Cenotaph</li> <li><strong>Confirmed initials </strong>– from Online Cenotaph</li> </ul>
Dataset from: Forces between silica particles in isopropanol solutions of 1:1 electrolytes
<p>The dataset from the publication: "Forces between silica particles in isopropanol solutions of 1:1 electrolytes"</p> <p>DOI: <a href="https://doi.org/10.1103/PhysRevResearch.2.023315">10.1103/PhysRevResearch.2.023315</a></p> <p>Files contain x and y data for the figures in the publication in the ASCII format.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.