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ShareScore release 0.9.0
Dataset results
4 results for “stationary distribution”
Data from: Asymmetric autocatalytic reactions and their stationary distribution
<p>We consider a general class of autocatalytic reactions, that has been shown to display stochastically switching behaviour (Discreteness Induced Transitions) in some parameter regimes. This behaviour was shown to occur when either the overall species count is low, or when the rate of inflow and outflow of species is relatively much smaller than the rate of autocatalytic reactions. The long-term behaviour of this class was analyzed in Bibbona, Kim, Wiuf (J.Roy.Soc.Interface, 2020) with analytic formula for the stationary distribution in the symmetric case. We focus on the case of asymmetric autocatalytic reactions and provide a formula for an approximate stationary distribution of the model. We show this distribution has different properties corresponding to the distinct behaviour of the process in the three parameter regimes, in the Discreteness Induces Transitions regime, the formula provides the fraction of time spent at each of the stable points.</p>
Data from: Asymmetric autocatalytic reactions and their stationary distribution
Open the record for dataset details and reuse information.
Computing Expected Visiting Times and Stationary Distributions in Markov Chains: Fast and Accurate (Artifact)
<p>This artifact contains the raw data of our experiments as well as scripts and benchmarks to reproduce the experiments.<br>Furthermore, the considered version of [Storm](http://stormchecker.org) is included, which contains our implementation.</p> <p>Please also consider the artifact of the conference paper available at [zenodo](https://zenodo.org/records/10438916) which has been accepted by the TACAS Artifact evaluation committee.</p> <p><br>This artifact contains: <br>`LICENSE`: The license document.<br>`README.md`: The instructions.<br>`raw_data.zip`: The raw data obtained during our experiments<br>`raw_data_with_results.zip`: The raw data, also including the resulting stationary distributions and evts in an explicit format. (84 GB!)<br>`reproduce.zip` contains benchmarks and scripts for reproducing the experiments<br>`storm-0b1cae2a94f06984f3cf4cecf5a5090e9bc71a56.zip` is the exact Storm version we considered.</p>
Transcriptional profiles of Salmonella Typhimurium 4/74 parent and relA spoT, rpoS and dksA strains during stationary phase, and RNA polymerase distribution as determined by chromatin immunoprecipi
GEO Series GSE63715. Salmonella enterica subsp. enterica serovar Typhimurium str. DT104; Salmonella enterica subsp. enterica serovar Typhimurium str. LT2; Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344; Salmonella enterica subsp. enterica serovar Gallinarum str. 287/91; Salmonella enterica subsp. enterica serovar Enteritidis. 101 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by array.
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.