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238
datasets available to search
ShareScore release 0.9.0
Dataset results
238 results for “spatial dynamics”
Three-dimensional sediment dynamics in well-mixed estuaries: importance of the internally-generated overtide, spatial settling lag and gravitational circulation
<p>model outputs</p>
Quantitation and Spatial Registration of Airways Dysfunction With Dynamic 19F MRI in Cystic Fibrosis
ClinicalTrials.gov study NCT06057714. IPD Sharing: NO. Countries: 1. Publications: 0.
The Temporo-spatial Dynamics of Genital Tract Microbiota
ClinicalTrials.gov study NCT03363828. IPD Sharing: YES. Countries: 1. Publications: 0.
The Temporo-spatial Dynamics of Genital Tract Microbiota - an Observational Study in Oocyte Donors
ClinicalTrials.gov study NCT04393857. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Reliability and minimum detectable change of temporal-spatial, kinematic, and dynamic stability measures during perturbed gait
Open the record for dataset details and reuse information.
A temporal cortex cell atlas highlights gene expression dynamics during human brain maturation [Spatial Transcriptomics]
GEO Series GSE280570. Homo sapiens. 4 samples. Type: Other.
Decoding the Spatial Chromatin Organization and Dynamic Epigenetic Landscapes of Macrophage Cells During Differentiation and Immune Activation
GEO Series GSE208046. Homo sapiens. 115 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.
Progenitor Cell Dynamics in AGA: Insights from Spatially Resolved Transcriptomics
GEO Series GSE282856. Homo sapiens. 8 samples. Type: Other.
Spatial dynamics of the tumor microenvironment associated with emerging resistance to targeted therapy in EGFR-mutated non–small cell lung cancer
GEO Series GSE288758. Homo sapiens. 2 samples. Type: Other.
The spatial and temporal dynamics of the nuclear RNAi-targeted retrotransposon transcripts in Caenorhabditis elegans
GEO Series GSE118429. Caenorhabditis elegans. 14 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Spatial Characteristics and Dynamic Mechanisms of the Antarctic Slope Current in the Ross Sea
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Spatial-Temporal Analysis Revealed the Dynamic Changes of Leukemia Neighborhood After Receiving Pembrolizumab and Decitabine
GEO Series GSE271406. Homo sapiens. 55 samples. Type: Expression profiling by high throughput sequencing.
Starfysh reveals heterogeneous spatial dynamics in the breast tumor microenvironment
GEO Series GSE218951. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing; Other.
Spatial Metabolomics Reveals Metabolic reprogramming dynamics during ductal carcinoma in situ progression to invasive ductal carcinoma
GEO Series GSE292487. Homo sapiens. 25 samples. Type: Expression profiling by high throughput sequencing.
Dynamic responses to rejection in the transplanted human heart revealed through spatial transcriptomics
GEO Series GSE290577. Homo sapiens. 2 samples. Type: Other.
Spatial, temporal and molecular dynamics of swine influenza virus-specific CD8 tissue resident memory cells
GEO Series GSE182645. Sus scrofa. 9 samples. Type: Expression profiling by high throughput sequencing.
Simulation Results: Influence of spatial heterogeneity on microbial redox dynamics in the subsurface
<p>Simulation results, processed data generated using OGSBRNS and Python to submit for publication.</p> <p>Details on files and their application are available in the README file.</p> <p>Filename format:</p> <p>Tec files generated from simulations using OGSBRNS:</p> <p><Flow_regime>AR_0_NS-A<heterogeneity_scenario>_model_domain_quad.tec</p> <p>Processed tec files stored in numpy arrays:</p> <p><Flow_regime>AR_<time_series>_NS-A<heterogeneity_scenario>_df.npy</p> <p>Flow_regime: varies between Slow, Equal and Fast</p> <p>heterogeneity_scenario: specifies spatial random fields generated using a Python package (gstools(R)). The number indicates the seed used for generating this field. 'H' indicates homogeneous domain.</p> <p>Processed data and associated scripts are available in a Git repository. Please reach out to the author for access.</p>
Dataset related to article "Spatial resolution of cellular senescence dynamics in human colorectal liver metastasis"
<p>Dataset related to article "Spatial resolution of cellular senescence dynamics in human colorectal liver metastasis"</p><p><strong>Abstract</strong></p><p>Hepatic metastasis is a clinical challenge for colorectal cancer (CRC). Senescent cancer cells accumulate in CRC favoring tumor dissemination. Whether this mechanism progresses also in metastasis is unexplored. Here, we integrated spatial transcriptomics, 3D-microscopy, and multicellular transcriptomics to study the role of cellular senescence in human colorectal liver metastasis (CRLM). We discovered two distinct senescent metastatic cancer cell (SMCC) subtypes, transcriptionally located at the opposite pole of epithelial (e) to mesenchymal (m) transition. SMCCs differ in chemotherapy susceptibility, biological program, and prognostic roles. Mechanistically, epithelial (e)SMCC initiation relies on nucleolar stress, whereby c- myc dependent oncogene hyperactivation induces ribosomal RPL11 accumulation and DNA damage response. In a 2D pre-clinical model, we demonstrated that RPL11 co-localized with HDM2, a p53-specific ubiquitin ligase, leading to senescence activation in (e)SMCCs. On the contrary, mesenchymal (m)SMCCs undergo TGFβ paracrine activation of NOX4-p15 effectors. SMCCs display opposing effects also in the immune regulation of neighboring cells, establishing an immunosuppressive environment or leading to an active immune workflow. Both SMCC signatures are predictive biomarkers whose unbalanced ratio determined the clinical outcome in CRLM and CRC patients. Altogether, we provide a comprehensive new understanding of the role of SMCCs in CRLM and highlight their potential as new therapeutic targets to limit CRLM progression.</p><p> </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.