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ShareScore release 0.9.0
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66 results for “stochastic models”
Data for "The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)" by Verjans et al.
<p>Results and scripts to reproduce figures of The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)</p> <p>Input files, preprocessing, run control and postprocessing scripts for all simulations are also provided.</p> <p>See readme.txt for details.</p> <p>Update 22 November 2022: use v2 of code files for updated version of StISSM</p> <p>by Verjans et al.</p>
Sequential therapy data from a deterministic and semi-stochastic PKPD model
<p>The dataset contains all data generated for the manuscript 'Sequential therapy in the lab and in the patient'. The models used to generate the data are described in the Methods section. The code is available at:https://zenodo.org/record/7376833, the repository further contains a README file that describes the dataset in detail. </p>
Stochastic models of nucleosome dynamics reveal regulatory rules of stimulus-induced epigenome remodeling
GEO Series GSE156385. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Modeling bias and variation in the stochastic processes of small RNA sequencing
GEO Series GSE93399. synthetic construct. 148 samples. Type: Non-coding RNA profiling by high throughput sequencing.
High-resolution genome replication profiles, modeling and single-cell imaging define the stochastic nature of replication initiation and termination
GEO Series GSE48561. Saccharomyces cerevisiae. 16 samples. Type: Other.
Using zero-inflated models to quantify stochastic and deterministic variation in fecundity
<p>Abstract. Fecundity is a primary component in evolutionary and ecological theory and applications, yet requires long-term study to quantify the range of stochastic variation and deterministic responses to ecosystem dynamics needed to develop strategies to insure population sustainability. Fecundity data often include a large proportion of zeros because many individuals fail to produce young during a breeding season, but surprisingly few fecundity studies use zero-inflated Poisson models. We conducted colorbanding and monthly censuses of Florida scrub-jays (<em>Aphelocoma coerulescens</em>) from 31 years, 15 populations, and 761 territories with much replication across years along central Florida’s Atlantic coast. Our study quantified how fecundity (juveniles/pair/year) was influenced by habitat quality states, presence/absence of nonbreeders, population density, breeder experience, and rainfall considering both success versus failure and count submodels for zero-inflated data with random effects. Habitat quality and the presence of nonbreeders were important deterministic factors having more influence on the success than the count submodel. The results identified the importance of increasing optimal habitat, which was a mid-successional state related to fire frequency and extent, because optimal habitat in territories, and the proportion of optimal territories in the overall population, influenced fecundity of breeding pairs. Populations subject to supplementary feeding also had greater fecundity, but random effects among populations still remained important. Random annual variation was great, but residuals associated with annual variation were not correlated between the success and count submodels. Increased territory size suggested increased success and juvenile counts, but the posterior distributions overlapped zero. Population density, breeder experience, and rainfall surprisingly had no or small effects. The increased fecundity for pairs with nonbreeders, compared to pairs without, identified future empirical research needed to understand how the proportion of marginal habitat influences population recovery and sustainability, because dispersal into marginal habitat can drain nonbreeders from optimal habitat and decrease overall fecundity.</p> <p> </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.