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.
345
datasets available to search
ShareScore release 0.9.0
Dataset results
345 results for “classification analysis”
Unsupervised Analysis of Array Comparative Genomic Hybridization Data from Early-Onset Colorectal Cancer Reveals Equivalence with Molecular Classification and Phenotypes
GEO Series GSE108220. Homo sapiens. 60 samples. Type: Genome variation profiling by genome tiling array.
Dataset related to article "Risk-group Classification by Recursive Partitioning Analysis of Patients Affected by Oligometastatic Renal Cancer Treated with Stereotactic Radiotherapy"
<p>This record contains raw data related to article "Risk-group Classification by Recursive Partitioning Analysis of Patients Affected by Oligometastatic Renal Cancer Treated with Stereotactic Radiotherapy"</p><p><strong> Abstract</strong></p><p>Aims: Due to the absence of consensus on metastases-directed treatment in kidney cancer, we conducted an analysis of patients treated with stereotactic radiotherapy (SRT) on cranial or extracranial metastases to classify them in survival class risk according to pre-treatment characteristics.</p><p>Materials and methods: We included oligometastatic kidney cancer patients treated with SRT on up to five metastases. Concomitant systemic treatment was allowed. End points included overall survival and the binary classification tree approach with recursive partitioning analysis was applied to stratify patients into overall survival risk groups.</p><p>Results: In total, 129 patients were treated on 242 metastases. The brain was the most common site (34.71%), followed by lung (25.62%). With a median follow-up of 19.4 months, 1- and 3-year overall survival were 82.62 and 55.11%. The recursive partitioning analysis identified four prognostic classes. Class 1 included patients aged ≤ 65 years treated on extracranial metastases, with 3-year overall survival of 82.66%. Class 2 included patients aged > 65 years, without history of metastatic bone disease, treated on extracranial metastases, with a 3-year overall survival of 67.91%. Patients aged > 65 years and a history of bone disease, treated on extracranial metastases, were classified as class 3, with a 3-year overall survival of 37.50%. Class 4 included patients treated on brain metastases, with a 3-year overall survival of 9.70%.</p><p>Conclusion: We produced a stratification model that can predict survival of oligometastatic kidney cancer patients treated with metastases-directed SRT. Site of disease, patient's age and presence of bone disease can help clinicians in the decision-making process.</p><p> </p>
Data for the manuscript "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning"
<p>The excel file contains hydrological and sediment data. Also included are dimensional analysis data in our dataset.<br> The rar file contains the codes and data for SVM classification work.</p>
Dataset for "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning"
<p>Du J. et al., (2022). Dataset for "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning", Water Resources Research</p> <p>Table S1: Hydrologic Paramteres and Dimensionless Numbers of Debris Flows</p> <p>Table S2: Hydrologic Paramteres and Dimensionless Numbers of Hyperconcentrated Flows</p> <p>Table S3: Hydrologic Paramteres and Dimensionless Numbers of Stream Flows</p> <p>Table S4: Hydrologic Paramteres and Dimensionless Numbers of Lahars</p>
Extensive phylogenetic analysis of Piscine orthoreovirus genomic sequences shows the robustness of subgenotype classification
<p><strong>Figure 1.</strong> Circular dendogram of S1 PRV genomic segment. The phylogenetic analysis was performed using sequences with at least 400 nucleotides. New and unknown subgenotype sequences were assigned according to their positions in the dendogram branches.</p> <p><strong>Figure 2.</strong> Phylogenetic tree of PRV M2 genomic segment. The dendogram was built utilizing sequences with at least 1000 nucleotides. New and unknown subgenotype sequences were assigned according to their positions in the dendogram branches.</p> <p><strong>Figure 3.</strong> Phylogenetic distance heatmap for 40 M2 sequences, including new sequences produced for this study. The colors represent the subgenotype and the distance matrix value.</p> <p><strong>Figure 4.</strong> Phylogenetic distance heatmap obtained from the alignment of 61 S1 sequences, including new sequences produced for this study. The colors represent the subgenotype and the distance matrix value.</p> <p><strong>Figure 5.</strong> Phylogenetic distances from the alignment of S1 sequences in Figure 4 by country represented as heatmaps.</p> <p><strong>Figure 6.</strong> Phylogenetic distances from the alignment of S1 sequences in Figure 4 by host species represented as heatmaps.</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.