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1,659 results for “Patient Data”
Data of "Fully automated pipeline for the fiber tractography of the anterior optic pathway in patients with sellar and parasellar tumors and analysis of the microstructural alterations"
<p>This dataset contains the numerical data used for the analysis described in the paper "<strong><span>Fully automated pipeline for the fiber tractography of the anterior optic pathway in patients with sellar and parasellar tumors and analysis of the microstructural alterations</span></strong>", Gramegna LL et al.</p> <p>chiasma_displacement.xlsx contains the value in mm of the vertical displacement of the chiasm for each subject (see the paper for the methodological procedure of the evaluation).</p> <p>parameters_along_tract.xlsx contains for each subject (Exam): the condition (Cond, 0=healthy control, 1=patient), whether they experienced complete or partial resolution of symptoms after surgical treatment (Responder), the corresponding area along the anterior optic pathway (Zone), the sampling point among the 45 that the anterior optic pathway was divided into (Bin), the microstructural parameter considered (Measure) and its corresponding value (Value).</p>
Dataset related to article "Hepatic and Extrahepatic Colorectal Metastases Have Discordant Responses to Systemic Therapy. Pathology Data from Patients Undergoing Simultaneous Resection of Multiple Tumor Sites"
<p>This record contains raw data related to article "Hepatic and Extrahepatic Colorectal Metastases Have Discordant Responses to Systemic Therapy. Pathology Data from Patients Undergoing Simultaneous Resection of Multiple Tumor Sites"</p> <p><strong>Background: </strong> Systemic therapy is the standard treatment for patients with hepatic and extrahepatic colorectal metastases. It is assumed to have the same effectiveness on all disease foci, independent of the involved organ. The present study aims to compare the response rates of hepatic and extrahepatic metastases to systemic therapy.</p> <p><strong>Methods: </strong> All consecutive patients undergoing simultaneous resection of hepatic and extrahepatic metastases from colorectal cancer after oxaliplatin- and/or irinotecan-based preoperative chemotherapy were analyzed. All specimens were reviewed. Pathological response to chemotherapy was classified according to tumor regression grade (TRG).</p> <p><strong>Results: </strong> We analyzed 45 patients undergoing resection of 134 hepatic and 72 extrahepatic metastases. Lung and lymph node metastases had lower response rates to chemotherapy than liver metastases (TRG 4-5 95% and 100% vs. 67%, <em>p</em> = 0.008, and <em>p</em> = 0.006). Peritoneal metastases had a higher pathological response rate than liver metastases (TRG 1-3 66% vs. 33%, <em>p</em> < 0.001) and non-hepatic non-peritoneal metastases (3%, <em>p</em> < 0.001). Metastases site was an independent predictor of pathological response to systemic therapy.</p> <p><strong>Conclusions: </strong> Response to chemotherapy of distant metastases from colorectal cancer varies in different organs. Systemic treatment is highly effective for peritoneal metastases, more so than liver metastases, while it has a very poor impact on lung and lymph node metastases.</p>
MRI data of patients with discorders of consciousness: responders and non responders to frontoparietal tDCS
<p><strong>MRI data of 8 patients with disorders of consciousness (DOC): 4 who previously responded to plurifocal frontoparietal tDCS (i.e., showing a new sign of consciousness only after an active stimulation and not after a sham one) and 4 who did not respond to the same protocol. tDCS sessions were performed on Wednesdays and Fridays (real and sham in a crossover randomized double-blind design) and MRI data was acquired the next Monday.</strong></p>
Dataset of the paper "Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models"
<p>The Excel file contains the dataset whose analysis has been presented in the manuscript entitled <em>"Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models" </em>and published in J Neuroeng Rehabil (doi: 10.1186/s12984-024-01339-4; PMID: 38566189).</p> <p>This data set cannot be publicly available because of sensitive information. Please send your request to: a.caronni@auxologico.it.</p>
This record contains raw data related to article: "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"
<p>This record contains raw data related to article "Effect of Comorbidities in Stage II/III Colorectal Cancer Patients Treated With Surgery and Neoadjuvant/Adjuvant Chemotherapy: A Single-Center, Observational Study"</p> <p>Comorbidity has a detrimental effect on cancer survival, however, it is difficult to disentangle its direct effect from its influence on treatment choice. In this study we assessed the effect of comorbidity on survival in patients who received standard treatment for resected stage II and III colorectal cancer (CRC).</p> <p>PATIENTS AND METHODS:</p> <p>In total, 230 CRC patients, 68 rectal (29.6%) and 162 colon cancer (70.4%) treated with surgical resection and neoadjuvant/adjuvant chemotherapy from December 2002 to December 2009 at Humanitas Cancer Center were retrospectively reviewed. The key independent variable was the Charlson Comorbidity Index (CCI) score, measured as a continuous variable. The differences between groups for categorical data were tested using the χ<sup>2</sup> test. Actuarial survival curves were generated using the Kaplan-Meier method.</p> <p>RESULTS:</p> <p>Median follow-up was 113 (range, 8.2-145.0) months. Median age was 63 (range, 37-78) years. In univariate analysis CCI score was significantly associated with poorer disease-free survival (hazard ratio [HR], 1.65; 95% confidence interval [CI], 1.52-1.80; P < .001), and overall survival (OS; HR, 1.55; 95% CI, 1.41-1.71; P < .001). Factors associated with poorer outcome also included (stage III vs. stage II, P < .029) and age (age >70 vs. ≤70 years, P < .001). After adjusting for these factors, a significant negative prognostic role of CCI score was still observed (adjusted HR for OS, 1.59; 95% CI, 1.43-1.76; P < .001).</p> <p>CONCLUSION:</p> <p>Among CRC patients who underwent surgical resection and chemotherapy, a higher CCI score was associated with poorer outcome and might predict long-term survival.</p>
Single cell sequencing data of PBMC and CSF from a cohort of Multiple Sclerosis patients and other neurological disease controls
<p><span>Neuroinflammation is often characterised by immune cell infiltrates in the cerebrospinal fluid (CSF). Here we apply single-cell RNA sequencing to explore the functional characteristics of these cells in patients with various inflammatory, infectious and non-inflammatory neurological disorders. We show that CSF is distinct from the peripheral blood in terms of both cellular composition and gene expression. We report that the cellular and transcriptional landscape of CSF is altered in neuroinflammation, but is strikingly similar across different neuroinflammatory disorders. We find clonal expansion of CSF B and T cells in all disorders but most pronounced in inflammatory diseases, and we functionally characterise the transcriptional features of these cells. Finally, we explore the genetic control of gene expression in CSF lymphocytes. Our results highlight the common features of immune cells in the CSF compartment across diverse neurological diseases and may help to identify new targets for drug development or repurposing in Multiple Sclerosis. </span></p> <p><span>This dataset contains a tarball with six files:</span></p> <ul> <li><span>A Seurat object with 5' single-cell gene expression data for all cells in the dataset</span></li> <li><span>A Seurat object with B cells only, containing 5' single-cell gene expression data and VDJ data in the metadata</span></li> <li><span>A Seurat object with T cells only, containing 5' single-cell gene expression data and VDJ data in the metadata</span></li> <li><span>Separate .csv files with the metadata alone for each of the three datasets</span></li> </ul> <p><span>These data have undergone very light quality control and contain only the raw, non-normalised RNA counts in the RNA assay (adjusted only for ambient RNA contamination). Details of QC steps used in the paper are given in the github. Please note that these data were generated across two sites and across multiple batches, and so any analysis should account for this potential source of technical variability. Metadata include the following key columns:</span></p> <ul> <li><span>batch_id: the batch </span></li> <li><span>source: whether the sample is from CSF or PBMC</span></li> <li><span>processing_site: whether the sample was processed in Munich or Cambridge</span></li> <li><span>Category: the diagnostic group (MS, Other Inflammatory Neurological Disease, Other Inflammatory Neurological Disease - Infection, and Non-inflammatory Neurological Disease)</span></li> <li><span>Sex</span></li> <li><span>OCB: whether the patient had CSF oligoclonal bands </span></li> <li><span>fully_anonymous_pseudoid: donor ID</span></li> <li><span>ann_celltypist_lowres: automated cell type assigment at low res </span></li> <li><span>ann_celltypist_highres: automated cell type assigment at high res</span></li> </ul> <p><span>VDJ datasets (B and T cells) contain many additional metadata columns with information on the VDJ and VJ transcripts expressed by each cell. </span></p>
Aggregated variant data from whole-genome sequenced tinnitus patients (TIGER)
<p>Aggregated variant data obtained from tinnitus patients from Sweden.</p> <p>Uploaded datasets are storage in annotated csv files. Annotation was performed using VEP (v106), including population frequencies for each variant from gnomAD, non-finnish Europeans from gnomAD, and swedish population from SweGen project. Pathogenicity scores from CADD are also annotated for each variant. Variants from genes found to be enriched in a gene burden analysis can be found in this aggregated dataset.</p> <p><strong>agg.tiger.csv</strong> - TIGER cohort is composed by 97 swedish whole-genome sequenced constant tinnitus patients.</p> <p><strong>agg.jaguar.csv</strong> - JAGUAR cohort is composed by 147 swedish whole-exome sequenced tinnitus patients .</p> <p><strong>agg.sevtin.csv</strong> - SEVTIN cohort is a subcohort from TIGER, with 34 WGS patients seggregating severe tinnitus phenotype.</p> <p><strong>agg.controls.csv</strong> - Controls is a swedish population cohort composed by 151 whole-exome sequenced swedish individuals.</p>
Data platform related to ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 "The role of vitamin D gene polymorphisms and its receptors in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis".
<p><strong>Description of contents of the data platform (dataset 1 ) based on the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718</strong><strong> “</strong><strong>The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis</strong><strong>”. </strong></p> <p><strong>About the project and gathered data:</strong></p> <p>The two datasets contain clinical data on 289 sex-balanced samples (approximately 60% women / 40% men)) were created at the MS Clinic of the Latvian Maritime Medical Center (LMMC) in 2011 (disease duration of 1-51 years); the collection was updated within the framework of the ERDF MS project (2017-2020) and replenished during the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 “The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis” (2021-2023).</p> <p>The following pre-selected information was assessed from the clinic database for each patient for the <strong>first dataset (1 Data_MS collection)</strong>: gender, age, age of onset of multiple sclerosis (MS), year of onset, the first symptoms, exacerbations in the first year, clinical MS disease course (estimated Expanded Disability Status Scale (EDSS) at diagnosis, Disease-Modifying Therapy (DMT), clinical activity, Magnetic resonance (MR) activity, other autoimmune diseases, duration of illness, time of the transition from relapsing-remitting MS course (RRMS) to secondary-progressive MS course (SPMS); year of start SPMS, RRMS>SPMS (RRMS duration in years). Clinical information was distributed according to the development of disease progression over five visits. Information related to the forms of disability progression of MS was assessed from medical files for the given period (12 years) for a complete picture of the history of disease progression.</p> <p>The following pre-selected information was assessed from the clinic database for each patient for the first dataset <strong>(</strong><strong>2 </strong><strong>Data_MS_2011_2018_2022):</strong> <strong>Clinical</strong> <strong>data for 2011:</strong> Age, clinical course of MS, estimated Expanded Disability Status Scale (EDSS)<strong>,</strong> Clinical activity, Invalidity progression, MR activity, NEDA-3*, IgA, g/l, IgM, g/l, IgG, g/l, CD3, cell/ml, CD4, cell/ml, CD8, cell/ml, Disease-Modifying Therapy (DMT), period of therapy.</p> <p>*Progress of disease and response to treatment was evaluated in terms of “no evidence of disease activity” (NEDA) standard (Stangel, 2015) measured by relapses, progression of disability and new and/or enlarging demyelinating lesions as seen on MRI.</p> <p><strong>Updated data for 2018</strong>: Duration of illness, clinical course of MS, EDSS</p> <p><strong>Updated data</strong> <strong>for 2020-22 years:</strong> EDSS 2020 and EDSS 2022, CRP (ug/mL), µg/ml, 25-OH-Vitamin D (ng/mL), Total IgE (IU/mL), Endotoxin (LPS), EU/m, Human LBP (ng/mL), EndoCab IgA, AMU/ml, EndoCab IgG, GMU/ml, EndoCab IgG, GMU/ml.</p>
SNP genotype data from induced Pluripotent Stem cells from Parkinson's Disease patients harboring mutations in the GBA1 gene, and from healthy control donors
GEO Series GSE99471. Homo sapiens. 13 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
microRNA-seq data of orbital connective tissues from thyroid eye disease patients
GEO Series GSE279703. Homo sapiens. 13 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Expression data from "A patient-derived cell atlas of glioblastoma informs precision targeting of the proteasome" (Johansson et al, Cell Reports, 2020)
GEO Series GSE152160. Homo sapiens. 145 samples. Type: Expression profiling by array.
Affymetrix SNP-array data for fetal tissue from recurrent pregnancy loss patients
GEO Series GSE310872. Homo sapiens. 66 samples. Type: Genome variation profiling by SNP array.
scRNAseq data of healthy and agangionic colon whole-tissue samples from three Hirschsprung's disease patient
GEO Series GSE312486. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Genotyping data from one patient with unexplained mental retardation and a deletion in 15q13
GEO Series GSE20564. Homo sapiens. 2 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
Expression data of bone marrow and blood monocytes from patients with rheumatoid arthritis (RA) and osteoarthritis (OA)
GEO Series GSE100786. Homo sapiens. 28 samples. Type: Expression profiling by array.
Expression data from 5 colorectal cancer patients neoadjuvantly treated with Imatinib (ImPACCT study)
GEO Series GSE196263. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing.
Expression data from primary vascular smooth muscle cells (VSMCs) from 5 unrelated patients - comparing different treatments versus untreated controls
GEO Series GSE109859. Homo sapiens. 20 samples. Type: Expression profiling by array.
Expression data from plasma of early-onset acute myocardial infarction patients and health control
GEO Series GSE200572. Homo sapiens. 10 samples. Type: Expression profiling by array.
Genotyping data from 49 patient with unexplained mental retardation
GEO Series GSE23557. Homo sapiens. 49 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Expression data from mononuclear cells from bone marrow and peripheral blood of leukemia patient samples
GEO Series GSE51082. Homo sapiens. 279 samples. Type: Expression profiling by array.
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.