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453 results for “Dynamic dataset”
Dataset of mountain pine beetle outbreak dynamics and direct control in Cypress Hills, SK
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Data from: Forecasting nocturnal bird migration for dynamic aeroconservation: the value of short-term dataset
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Dataset and scripts from: Predicting organismal response to marine heatwaves using dynamic thermal tolerance landscape models
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Dataset for genome-wide profiling of autophagy dynamics under nutrient availability in <em>Saccharomyces cerevisiae</em>
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Data from: Dynamic reorganization of neuronal activity patterns in parietal cortex dataset
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Molecular dynamics dataset for pharmacological repositioning in the treatment of non-small-cell lung cancer
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Towards deciphering dynamic changes and evolutionary mechanisms involved in the adaptation to low salinities in Ectocarpus (brown algae) - test dataset
<p><strong>Objectives :</strong></p> <p>Examine salinity tolerance and adaptations to low salinities in a freshwater strain of Ectocarpuson physiological and molecular levels.</p> <p><strong>Cohort :</strong></p> <p>Two clonal strains of Ectocarpus sp. (Ectocarpales, Phaeophyceae), the genome-sequenced marine strain (MS) (accession CCAP 1310/4, origin San Juan de Marcona, Peru) and a freshwater strain (FWS, accession CCAP 1310/196, origin Hopkins River Falls, Victoria, Australia) were used.</p> <p><strong>Mass spectrometer :</strong></p> <p><br> Gas chromatography-mass spectrometry (GC-MS) as described by Ritteret al.(2008) : samples were analysed with a Hewlett-Packard 5873 Mass Selective Detector interfaced to a Hewlett-Packard 6890 Series+ gas chromatograph (Agilent, Les Ullis, France).</p>
Dataset of Synchrotron Low Energy XRF and STXM files used in a manuscript on "Compressive Sensing for Dynamic XRF Scanning"
<p>Synchrotron Low Energy XRF and STXM Dataset used in a research manuscript on "Compressive Sensing for Dynamic XRF Scanning". This dataset includes HDF5 files with XRF (/dante) and STXM (/andor) maps and metadata such as XRF lifetime and sample stage positions (/sample_motors). The dataset also includes as TIFF images various outputs such as the sparse maps, the masked areas and the results of in-painting methods. In the DAT file, there is the output of the fitted XRF data as ASCII from PyMCA. In HTML there is included the relevant part of the electronic logbook (DonkiLOG). These data were acquired during the beamtime experiments 20180178 and 20192072 in the <a href="http://www.elettra.eu/elettra-beamlines/twinmic.html">TwinMic</a> soft X-ray microscopy beamline of Elettra Sincrotrone Trieste.</p> <p> </p> <p> </p>
Dataset related to 'Pedagogy matters: Experience-dependent spatiotemporal brain network dynamics'
<p>System Diversity (SD) and Spatio-Temporal Diversity (STD) values (as defined in [Vohryzek2020]) estimated on two groups of children (6-12 y.o.) from Montessori and traditional schools. We provide the values for the two groups and values from 1000 permutations between groups.</p>
Dataset for "Sorption, anomalous water transport and dynamic porosity in cement paste: A spatially localised 1H NMR relaxation study and a proposed mechanism"
<p>This record is the dataset for Figures 4, 5, 6, 7, 8 and 9 in the journal article "Sorption, anomalous water transport and dynamic porosity in cement paste: A spatially localised 1H NMR relaxation study and a proposed mechanism" published in Cement and Concrete Research, Volume 133, July 2020, 106045, https://doi.org/10.1016/j.cemconres.2020.106045.</p> <p>Abstract: The link between anomalous water sorption and dynamic porosity in cement pastes is explored using spatially resolved GARField1H nuclear magnetic resonance (NMR) relaxation analysis. A model is developed in which the effective capillary diffusion coefficient is dependent on the instantaneous pore size distribution. This and earlier data show changes in pore size distribution resultant from changes in saturation that do not occur instantaneously with changes in degree of saturation. Therefore, it is assumed that the pore size distribution is always relaxing exponentially towards a (saturation dependent) equilibrium. It follows that the diffusivity is sample history (i.e. time) dependent as well as saturation dependent. This is sufficient to explain anomalies in rapid capillary water sorption. The same concepts are applied to slow drying. In this case, porosity changes occur on a timescale much shorter than drying so the system is always in dynamic equilibrium and anomalies are therefore not seen.</p>
Dataset for "Strain induced electrochemical behaviours of ionic liquid electrolytes in an electric double layer capacitor: Insights from molecular dynamics simulations"
<p>The datafile contains molecular dynamics simulation results for analysing the electrochemical behaviour of ionic liquid based EDLC under compression and tension.</p>
Dataset related to article "Control of Cytoskeletal Dynamics by β-Arrestin1/Myosin Vb Signaling Regulates Endosomal Sorting and Scavenging Activity of the Atypical Chemokine Receptor ACKR2"
<p>This record contains raw data related to article "Control of Cytoskeletal Dynamics by β-Arrestin1/Myosin Vb Signaling Regulates Endosomal Sorting and Scavenging Activity of the Atypical Chemokine Receptor ACKR2"</p> <p>The atypical chemokine receptor ACKR2, formerly named D6, is a scavenger chemokine receptor with a non-redundant role in the control of inflammation and immunity. The scavenging activity of ACKR2 depends on its trafficking properties, which require actin cytoskeleton rearrangements downstream of a β-arrestin1-Rac1-PAK1-LIMK1-cofilin-dependent signaling pathway. We here demonstrate that in basal conditions, ACKR2 trafficking properties require intact actin and microtubules networks. The dynamic turnover of actin filaments is required to sustain ACKR2 constitutive endocytosis, while both actin and microtubule networks are involved in processes regulating ACKR2 constitutive sorting to rapid, Rab4-dependent and slow, Rab11-dependent recycling pathways, respectively. After chemokine engagement, ACKR2 requires myosin Vb activity to promote its trafficking from Rab11-positive recycling endosomes to the plasma membrane, which sustains its scavenging activity. Other than cofilin phosphorylation, induction of the β-arrestin1-dependent signaling pathway by ACKR2 agonists also leads to the rearrangement of microtubules, which is required to support the myosin Vb-dependent ACKR2 upregulation and its scavenging properties. Disruption of the actin-based cytoskeleton by the apoptosis-inducing agent staurosporine results in impaired ACKR2 internalization and chemokine degradation that is consistent with the emerging scavenging-independent activity of the receptor in apoptotic neutrophils instrumental for promoting efficient efferocytosis during the resolution of inflammation. In conclusion, we provide evidence that ACKR2 activates a β-arrestin1-dependent signaling pathway, triggering both the actin and the microtubule cytoskeletal networks, which control its trafficking and scavenger properties.</p>
The impact of phenotypic heterogeneity of tumour cells on treatment and relapse dynamics - Dataset
<p>This is the dataset used in the manuscript "The impact of phenotypic heterogeneity of tumour cells on treatment and relapse dynamics" by Raatz et al. The code used to generate the data and figures can be found at https://doi.org/10.5281/zenodo.4461667.</p>
Dynamism, urgency, and scale dataset
<p>Dataset used in Rinde R.S. van Lon and Tom Holvoet, <em>Towards systematic evaluation of multi-agent systems in large scale and dynamic logistics</em>. PRIMA 2015: Principles and Practice of Multi-Agent Systems, (2015).</p>
Measures of dynamism and urgency in logistics - dataset & results
<p>Dataset and results of <em>Measures of dynamism and urgency in logistics</em>. Rinde R.S. van Lon, Eliseo Ferrante, Ali E. Turgut, Tom Wenseleers, Greet Vanden Berghe, and, Tom Holvoet. European Journal of Operational Research. ISSN 0377-2217. http://dx.doi.org/10.1016/j.ejor.2016.03.021.</p>
Supplementary dataset for journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction"
<p>Supplementary material for the journal article "High-accuracy current measurement with low-cost shunts by means of dynamic error correction".</p> <p>Measurements include</p> <ul> <li>Temperature dependence of a single 10mOhm shunt resistor in TO-247 package.</li> <li>Calibration sequence measurements for automated 600A test equipment for studies on automotive Li-Ion cells.</li> <li>Obtained dynamic and steady-state calibration parameters</li> <li>Parameter distribution for 100 test systems.</li> <li>Parameter drift for a single tester after one year of operation</li> </ul> <p>All data has been combined into a single binary Matlab-File.</p>
Optimizing agents with genetic programming - An evaluation of hyper-heuristics in dynamic real-time logistics - datasets and results
<p>This directory contains the data and results that we used and obtained during the realization of the following paper:</p> <blockquote> <p>Optimizing agents with genetic programming - An evaluation of hyper-heuristics in dynamic real-time logistics. Rinde R.S. van Lon, Juergen Branke, and Tom Holvoet. Genetic Programming and Evolvable Machines (2017).</p> </blockquote> <p>The code that has been used can be found on GitHub (https://github.com/rinde/vanLon17-GPEM-code), an archive is available at https://doi.org/10.5281/zenodo.260130.</p> <p>This repository contains the following files:</p> <ul> <li>evo.zip (expands to 21.2 GB) A zip file containing all results of the training experiment and tuning experiment.</li> <li>JAAMAS.zip (expands to 227.6 MB) A zip file containing the main results of the JAAMAS experiment, also available at https://doi.org/10.5281/zenodo.209760</li> <li>realtime.zip (expands to 913.5 MB) A zip file containing the main results</li> <li>dataset10k.zip (expands to 4.9 GB) Contains the scenarios used for the training and tuning experiments.</li> <li>overview.zip (expands to 42 MB) Contains the following files: <ul> <li>overview/experiment-overview.csv - table containing basic overview of the 40 main evolutionary runs that were performed for this paper.</li> <li>overview/heuristics/ - folder with a tree visualization for every evolved heuristic.</li> <li>overview/makefile - executes the analysis scripts that were used in the paper (requires the R programming language, https://www.r-project.org/). All tables and figures will be placed in results/generated/.</li> <li>readme.txt - this file.</li> <li>overview/results/ - contains the scripts</li> <li>overview/results/data/ - empty directory in which evo.zip, JAAMAS.zip, and realtime.zip have to be unpacked for the analysis scripts to work.</li> </ul> </li> </ul>
The dataset of the role of dormant propagule banks in shaping eco-evolutionary dynamics of community assembly
<p>Here is the dataset of the simulation data of the role of dormant propagule banks in shaping eco-evolutionary dynamics of community assembly. </p>
DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data (minimal)
<p>This is a minimal version of the DynaBench dataset, containing the first 5% of the data. The full dataset is available at <a href="https://professor-x.de/dynabench">https://professor-x.de/dynabench</a></p><p><strong>Abstract:</strong></p><p>Previous work on learning physical systems from data has focused on high-resolution grid-structured measurements. However, real-world knowledge of such systems (e.g. weather data) relies on sparsely scattered measuring stations. In this paper, we introduce a novel simulated benchmark dataset, DynaBench, for learning dynamical systems directly from sparsely scattered data without prior knowledge of the equations. The dataset focuses on predicting the evolution of a dynamical system from low-resolution, unstructured measurements. We simulate six different partial differential equations covering a variety of physical systems commonly used in the literature and evaluate several machine learning models, including traditional graph neural networks and point cloud processing models, with the task of predicting the evolution of the system. The proposed benchmark dataset is expected to advance the state of art as an out-of-the-box easy-to-use tool for evaluating models in a setting where only unstructured low-resolution observations are available. The benchmark is available at <a href="https://professor-x.de/dynabench">https://professor-x.de/dynabench</a>.</p><p><strong>Technical Info</strong></p><p>The dataset is split into 42 parts (6 equations x 7 combinations of resolution/structure). Each part can be downloaded separately and contains 7000 simulations of the given equation at the given resolution and structure. The simulations are grouped into chunks of 500 simulations saved in the hdf5 file format. Each chunk contains the variable "data", where the values of the simulated system are stored, as well as the variable "points", where the coordinates at which the system has been observed are stored. For more details visit the DynaBench website at <a href="https://professor-x.de/dynabench/">https://professor-x.de/dynabench/</a>. The dataset is best used as part of the dynabench python package available at <a href="https://pypi.org/project/dynabench/">https://pypi.org/project/dynabench/</a>.</p>
Hydrologic Connectivity Regulates Riverine N2O Sources and Dynamics [Dataset]
<p>This repository contains summarized N2O concentration, isotope, watershed attribute, and stream hydraulics data for the Cannon River Watershed. More details about the data can be found in the enclosed metadata file.</p>
ScienceDex guides
Understand access before you commit
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.