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1,221 results for “Aggregators”
Data from: Monitoring large and complex wildlife aggregations with drones
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Data from: Species-specific responses to island connectivity cycles: refined models for testing phylogeographic concordance across a Mediterranean Pleistocene Aggregate Island complex
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Data from: Using partial aggregation in Spatial Capture Recapture
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Data from: Aggregation and a strong Allee effect in a cooperative outbreak insect
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Data from: Seabirds vary responses to supplemental food under dynamic natural prey availability and feeding aggregation composition
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Data from: Effects of soil particles and convective transport on dispersion and aggregation of nanoplastics via small-angle neutron scattering (SANS) and ultra SANS (USANS)
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Data from: Impacts of long-term tillage and fertilization on soil carbon stock and aggregate stability in tropical agriculture
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Data from: Land cover diversity increases predator aggregation and consumption of prey
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Data from: Whether larval amphibians school does not affect the parasite aggregation rule: testing the effects of host spatial heterogeneity in field and experimental studies
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Ambiguity coding allows accurate inference of evolutionary parameters from alignments in an aggregated state-space
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Aggregated filter-feeders govern the flux and stoichiometry of locally available energy and nutrients in rivers
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Raw images for bead aggregation assays - Heterophilic and homophilic cadherin interactions in intestinal intermicrovillar links are species dependent
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Insights into the aggregation mechanism of RRM domains in TDP-43: A theoretical exploration
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Dataset for: Effects of oil and sediment properties and mixing states on the formation and settling of oil-particle aggregates
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Replication Package for: Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures
<p>This repository contains a replication package and experimental results for our study on <em>Scalable and Reliable Multi-Dimensional Sensor Data Aggregation in Data-Streaming Architectures</em>.</p> <p>It features the presented implementations with Kafka Streams, tools for load generation and data collection, scripts for executing the presented evaluations as well as our raw results and script for analysis. A detailed description is given in the top-level README.md file.</p>
Diurnal Self-Aggregation (rainfall data)
<p>Main surface rainfall model output data used in the main text of the publication "Diurnal Self-Aggregation".</p> <p> </p>
Dataset: On the Aggregation and Nucleation Mechanism of the Monoclonal Antibody Anti-CD20 Near Liquid- Liquid Phase Separation (LLPS)
<p>Dataset related to the paper: Pantuso et al., On the Aggregation and Nucleation Mechanism of the Monoclonal Antibody Anti-CD20 Near Liquid-Liquid Phase Separation (LLPS), Scientific Reports (2020) 10:8902.</p>
Data-driven models reveal mutant cell behaviors important for myxobacterial aggregation
<p>Single mutations frequently alter several aspects of cell behavior but rarely reveal whether a particular statistically significant change is biologically significant. To determine which behavioral changes are most important for multicellular self-organization, we devised a new methodology using <em>Myxococcus xanthus</em> as a model system. During development, myxobacteria coordinate their movement to aggregate into spore-filled fruiting bodies. We investigate how aggregation is restored in two mutants, <em>csgA</em> and <em>pilC</em>, that cannot aggregate unless mixed with wild type (WT) cells. To this end, we use cell tracking to follow the movement of fluorescently labeled cells in combination with data-driven agent-based modeling. The results indicate that just like WT cells, both mutants bias their movement toward aggregates and reduce motility inside aggregates. However, several aspects of mutant behavior remain uncorrected by WT demonstrating that perfect recreation of WT behavior is unnecessary. In fact, synergies between errant behaviors can make aggregation robust.</p>
Raw and aggregated data for the study introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019"
<p>This dataset contains all the raw data and aggregated data subject of the study introduced in the article "Citing and referencing habits in Medicine and Social Sciences journals in 2019". The study is based on the bibliographic and citation data contained in 213 articles published in 46 journals in two subject areas: Medicine and Social Sciences. The articles contained a total amount of 9,911 bibliographic references and 16,193 mentions and quotations overall. In particular, the raw data are about 27 journals, 132 articles, 5,340 bibliographic references, 8,400 mentions and 5 quotations in Medicine, and 19 journals, 81 articles, 4,571 bibliographic references, 6,953 mentions and 835 quotations in Social Sciences.</p> <p>The dataset is composed of three files:</p> <ul> <li>the file "medicine-journals.csv" contains the raw data of the articles published in Medicine journals;</li> <li>the file "social-sciences-journals.csv" contains the raw data of the articles published in Social Sciences journals;</li> <li>the file "aggregated-data-medicine-social-sciences.csv" contains the aggregated data created considering the raw data in the previous files, which have been used to creating all the tables and figures in the article.</li> </ul>
Dataset_2020_Biogeosciences_Protists and collembolans alter microbial community composition, C dynamics and soil aggregation in simplified consumer - prey systems
<p>Dataset associated to the publication: Erktan, A., Rillig, M.C., Carminati, A., Jousset, A., Scheu, S. (2020) Protists and collembolans alter microbial community composition, C dynamics and soil aggregation in simplified consumer - prey systems, Biogeosciences, accepted the 27/08/2020.</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.