Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
147
datasets available to search
ShareScore release 0.7.1
Dataset results
147 results for “dynamic processes”
Single-cell dynamic RNA and glycosylation sequencing reveal the process of iPSC differentiation into HSCs in vitro
GEO Series GSE263152. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Developmental Dynamics of Kranz Cell Transcriptional Specificity in Maize Leaf Reveals Early Onset of C4-related Processes
GEO Series GSE54272. Zea mays. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional Reprogramming And Epigenomic Landscape Dynamics During Grapevine Somatic Embryogenesis Process [small RNA-seq]
GEO Series GSE152337. Vitis vinifera. 18 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
Modulation of frontal midline theta (fmθ) is observed during error commission, but little is known about the role of theta oscillations in correcting motor behaviours. We investigate EEG activity of healthy partipants executing a reaching task under variable degrees of prism-induced visuo-motor distortion and visual occlusion of the initial arm trajectory. This task introduces directional errors of different magnitudes. The discrepancy between predicted and actual movement directions (i.e. the error), at the time when visual feedback (hand appearance) became available, elicits a signal that triggers on-line movement correction. Analysis were performed on 25 EEG channels. For each participant, the median value of the angular error of all reaching trials was used to partition the EEG epochs into high- and low-error conditions. We computed event-related spectral perturbations (ERSP) time-locked either to visual feedback or to the onset of movement correction. ERSP time-locked to the onset of visual feedback showed that fmθ increased in the high- but not in the low-error condition with an approximate time lag of 200 ms. Moreover, when single epochs were sorted by the degree of motor error, fmθ started to increase when a certain level of error was exceeded and, then, scaled with error magnitude. When ERSP were time-locked to the onset of movement correction, the fmθ increase anticipated this event with an approximate time lead of 50 ms. During successive trials, an error reduction was observed which was associated with indices of adaptations (i.e., aftereffects) suggesting the need to explore if theta oscillations may facilitate learning. To our knowledge this is the first study where the EEG signal recorded during reaching movements was time-locked to the onset of the error visual feedback. This allowed us to conclude that theta oscillations putatively generated by anterior cingulate cortex activation are implicated in error processing in semi-naturalistic motor behaviours.
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Model uncertainty and limited data are fundamental challenges to robust management of human intervention in a natural system. These challenges are acutely highlighted by concerns that many ecological systems may contain tipping points, such as Allee population sizes. Before a collapse, we do not know where the tipping points lie, if they exist at all. Hence, we know neither a complete model of the system dynamics nor do we have access to data in some large region of state space where such a tipping point might exist. We illustrate how a Bayesian non-parametric approach using a Gaussian process (GP) prior provides a flexible representation of this inherent uncertainty. We embed GPs in a stochastic dynamic programming framework in order to make robust management predictions with both model uncertainty and limited data. We use simulations to evaluate this approach as compared with the standard approach of using model selection to choose from a set of candidate models. We find that model selection erroneously favours models without tipping points, leading to harvest policies that guarantee extinction. The Gaussian process dynamic programming (GPDP) performs nearly as well as the true model and significantly outperforms standard approaches. We illustrate this using examples of simulated single-species dynamics, where the standard model selection approach should be most effective and find that it still fails to account for uncertainty appropriately and leads to population crashes, while management based on the GPDP does not, as it does not underestimate the uncertainty outside of the observed data.
"Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks": Dataset
<p>This repository contains the data accompanying the paper "<em>Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks</em>", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.</p> <p> </p> <p>The associated codes are available in the Github repository <a href="https://github.com/FrancescoRegazzoni/LDNets">https://github.com/FrancescoRegazzoni/LDNets</a></p>
Statistical analysis for biogeochemical processes in a sandy column with dynamic hydrologic regimes using spectral induced polarization (SIP) and self-potential (SP)
<p>Dataset for the manuscript: Non-invasive monitoring of nitrogen transformation processes at a dynamic capillary fringe using spectral induced polarization (SIP) and self-potential (SP).</p>
Single-Cell RNA-seq Uncovers Dynamic Processes Orchestrated by RNA-Binding Protein DDX43 in Chromatin Remodeling during Spermiogenesis
<p>All datasets include analyzed scRNA-seq, peak files called from eCLIP-seq datasets, and spliced/unspliced readouts of single cell.</p>
Mapping and Modulating the Spatiotemporal Dynamics of Socio-Affective Processing
ClinicalTrials.gov study NCT05418894. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Dynamic Process of VMB and Mucosal Immunity After FUS Treatment of CIN Patients With Fertility Requirement
ClinicalTrials.gov study NCT05142397. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Pulsatility Aneurysmal Evaluation Process by Cerebral Dynamic CTA (Computed Tomography Angiography)
ClinicalTrials.gov study NCT03535181. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 3]
GEO Series GSE297900. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Data from: Escalating human-wildlife conflict in Wolong Nature Reserve, China: a dynamic and paradoxical process
Open the record for dataset details and reuse information.
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Open the record for dataset details and reuse information.
Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
Open the record for dataset details and reuse information.
Single-cell RNA-seq Uncovers Dynamic Processes and Critical Regulators in Mouse Spermatogenesis
GEO Series GSE107644. Mus musculus. 106 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 1]
GEO Series GSE279168. Homo sapiens. 458 samples. Type: Expression profiling by high throughput sequencing.
Transcription processes compete with loop extrusion to homogenize promoter and enhancer dynamics
GEO Series GSE230243. Mus musculus musculus x Mus musculus castaneus. 13 samples. Type: Other.
The Dominant Role of Polyadenylation in Regulating Maternal mRNA Dynamics in Dormant Oocytes and the Function of ZAR1 in this Process_LACE-seq
GEO Series GSE276330. Mus musculus. 8 samples. Type: Other.
The Dominant Role of Polyadenylation in Regulating Maternal mRNA Dynamics in Dormant Oocytes and the Function of ZAR1 in this Process_PAIso-seq2
GEO Series GSE276408. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
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.