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309 results for “swarm”
Spatiotemporal metabolome data from Bacillus subtilis swarm development
<p>Metabolome data and associated Matlab code used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution.</p> <p>The Excel files AminoAcidResults.xslx and OrganicAcidResults.xlsx list raw data containing the positon and timepoints of sampling as well as metabolite concentrations given in µM. More details about these files are given in a ReadMe.txt file.</p> <p>The Excel file nSamples.xlsx summarizes the number of samples for each mean calculated during plotting.</p> <p>There are two m-files with Matlab code, which are used for plotting the metabolite data. To plot metabolite concentrations over time, open "displayData.m" and select the raw data file in lines 5 and 6. Then choose a path to save your data in line 9. Execute the Matlab script to obtain graphs.</p>
Spectral decomposition coefficients for spatiotemporal gene expression pattern identification in Bacillus subtilis swarm development
<p>Spectral decomposition coefficients, spatiotemporal gene expression pattern identification and multidimensional scaling coordinates of spatiotemporal transcriptomics data and image analysis results used to create Figure 2 in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution.</p> <p>This data consists of two excel sheets, one for the transcriptomics data and one for image analysis results (physical properties).</p> <p>Genes were ranked according to a spatiotemporal information score defined in the publication described above. For each gene, its name and ID (derived from locus tag) are given as identifiers. For information of reference genome used for mapping and convention on how gene names are chosen, see <a href="https://drescherlab.org/data/swarm-transcriptome/">https://drescherlab.org/data/swarm-transcriptome/</a>. Other columns in the sheet represent the spatiotemporal information score, assigned spatiotemporal pattern number, decomposition coefficient, multidimensional scaling coordinates and gene function.</p> <p>Physical properties are measured from short microscopy videos and defined in the publication mentioned above. This excel sheet contains property name, spatiotemporal information score, spectral decomposition coefficients and multidimensional scaling coordinates.</p>
Effect of Emergency Department Care Reorganization on Door-to-antibiotic Times for Sepsis (LDS SWARM)
ClinicalTrials.gov study NCT03226366. IPD Sharing: YES. Countries: 1. Publications: 1.
Phylogenomics indicates Amazonia as the major source of Neotropical swarm-founding social wasp diversity
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Spatial and temporal characteristics of laboratory-induced Anopheles coluzzii swarms: shape, structure and flight kinematics
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Data from: Self-extinguishing relay waves enable homeostatic control of human neutrophil swarming
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Data from: Self-organizing nervous systems for robot swarms
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Spectral sensitivity transition in the compound eyes of a twilight-swarming mayfly and its visual ecological implications
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Human-Swarm Teaming with Proximal Interactions
<p>Autonomous swarms are capable of accomplishing simple tasks but when it comes to critical situations (e.g., disaster management) they cannot manage the whole mission. By establishing a human-swarm interaction we create a system that can outperform humans or autonomous swarms when working independently. We propose a human-swarm teaming with proximal interactions between human operators and robots in a multi-agent system. One of the major challenges in a human-swarm interaction is acquiring global information about the swarm's state and visualizing it to the human operators. Continuous swarm observation requires global communication between the human operator and the swarm that limits scalability and comes with a high communication cost. In our approach, we only allow one-to-one communications in local neighborhoods between agent-agent and operator-agent. By doing that, we decrease the cognitive complexity of human-swarm interaction to O(1). Agents collectively explore and map the environment by disseminating their observations and incorporating their neighboring agents' maps. Human operators then use these maps to estimate the swarm's state, manipulate the maps to control the swarm, and as a result, determine the level of autonomy of the swarm. We verify our approach with a disaster management scenario where a simulated aerial swarm is spread across a mission zone to explore an environment. Our proposed method for human-swarm teaming with proximal interactions successfully guides a swarm to explore a mission area in a dynamic environment and allows a single operator to control the swarm.</p>
Figure 40 in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Figure 40. Localities of Zelotibia lejeunei ̇ and Z. major •
Figure 41 in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Figure 41. Localities of Zelotibia paucipapillata.
Spermathecae touching in front and behind concave median part (f3) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Spermathecae touching in front and behind concave median part (f3)
Epigynal scape a in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Epigynal scape a larger triangle; copulatory ducts shorter than spermathecae (e2)
Spermathecae globular (c5), copulatory ducts S-shaped (c6) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Spermathecae globular (c5), copulatory ducts S-shaped (c6)
Copulatory openings large (c3), connected by transverse groove (c4) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Copulatory openings large (c3), connected by transverse groove (c4)
Epigynal scape large, reaching spermathecae (c2) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Epigynal scape large, reaching spermathecae (c2)
Epigynal scape tongue-shaped, the tip smoothly rounded (c1) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Epigynal scape tongue-shaped, the tip smoothly rounded (c1)
Atrium kidney-shaped (b6); copulatory openings oval (b7) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Atrium kidney-shaped (b6); copulatory openings oval (b7)
Posterior margin of epigynal scape with sinuous sides (d2 in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Posterior margin of epigynal scape with sinuous sides (d2
Posterior margin of epigynal scape with straight sides (d3) in An of Zelotibia (Araneae, Gnaphosidae), a spider genus with a species swarm in the Albertine Rift
Posterior margin of epigynal scape with straight sides (d3)
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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.