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.
2,194
datasets available to search
ShareScore release 0.9.0
Dataset results
2,194 results for “Diffusers”
Activity of PDGFRA inhibitor Avapritinib in H3K27M Diffuse Midline Glioma
GEO Series GSE222457. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Chromosomal abberations and transcriptional characteristics linked to the pathogenesis of diffuse large b-cell lymphomas
GEO Series GSE5138. Homo sapiens. 42 samples. Type: Genome variation profiling by genome tiling array.
Cell-cycle deregulation in diffuse large B-cell lymphoma promotes critical dependence on the cyclin-G associated kinase
GEO Series GSE279610. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
A Novel Mouse Model of Diffuse Midline Glioma Initiated in Neonatal Oligodendrocyte Progenitor Cells Highlights Cell- of-origin Dependent Effects of H3K27M III
GEO Series GSE184936. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Simulation of freely-diffusing smFRET data of a static mixture of 2 populations
<p>Simulation data created with PyBroMo smFRET simulation software.</p>
Dataset related to article "Perioperative corticosteroid treatment impairs tumor-infiltrating dendritic cells in patients with newly diagnosed adult-type diffuse gliomas"
<p>This record contains raw data related to article "Perioperative corticosteroid treatment impairs tumor-infiltrating dendritic cells in patients with newly diagnosed adult-type diffuse gliomas"</p><p>Introduction: Adult-type diffuse gliomas are malignant primary brain tumors characterized by very poor prognosis. Dendritic cells (DCs) are key in priming antitumor effector functions in cancer, but their role in gliomas remains poorly understood.</p><p>Methods: In this study, we characterized tumor-infiltrating DCs (TIDCs) in adult patients with newly diagnosed diffuse gliomas by using multi-parametric flow cytometry and single-cell RNA sequencing.</p><p>Results: We demonstrated that different subsets of DCs are present in the glioma microenvironment, whereas they are absent in cancer-free brain parenchyma. The largest cluster of TIDCs was characterized by a transcriptomic profile suggestive of severe functional impairment. Patients undergoing perioperative corticosteroid treatment showed a significant reduction of conventional DC1s, the DC subset with key functions in antitumor immunity. They also showed phenotypic and transcriptional evidence of a more severe functional impairment of TIDCs.</p><p>Discussion: Overall, the results of this study indicate that functionally impaired DCs are recruited in the glioma microenvironment. They are severely affected by dexamethasone administration, suggesting that the detrimental effects of corticosteroids on DCs may represent one of the mechanisms contributing to the already reported negative prognostic impact of steroids on glioma patient survival</p>
Sonication data related to article " preclinical study of diffusion-weighted MRI contrast as an early indicator of thermal ablation"
<p>data analysis table and workflow</p> <p> </p>
Neural substrates of neuropsychological profiles in dystrophynopathies: A pilot study of diffusion tractography imaging
<p>Tables and Figures sources for "Biagi L, Lenzi S, Cipriano E, Fiori S, Bosco P, Cristofani P, et al. (2021) Neural substrates of neuropsychological profiles in dystrophynopathies: A pilot study of diffusion tractography imaging. PLoS ONE 16(5): e0250420. https://doi.org/10.1371/journal.pone.0250420"</p>
Dataset related to article "Diffusion weighted magnetic resonance imaging for kidney cyst volume quantification and non-cystic tissue characterization in ADPKD"
<p>Kidney volumes, demographic features, and median DWI-based parameters related to the individual patients and healthy volunteers included in the study</p>
EMC3-EIRENE simulations of Wendelstein 7-X - diffusion coeffient and density scan
<p>Simulations of Wendelstein 7-X in the standard configuration. See [1] for a more detailed description.</p> <p>The netcdf files are read with xemc3 version 0.2.1. The tar.xz files contain the plain text files, input and output, of the simulations.</p> <p>Scenario A: Constant diffusion</p> <p>Scenario B: Diffusion enhanced towards the centre of the islands, i.e. variation in radial and poloidal direction</p> <p>Scenario C: Diffusion enhanced in the outer bean shape, i.e. variation in toroidal and poloidal direction.</p> <p>[1] https://doi.org/10.1088/1741-4326/ac7e2f</p>
Heterogeneous characteristics of γδ T cells in peripheral blood of diffuse large B-cell lymphoma
Open the record for dataset details and reuse information.
Experimental dataset: TEMPERATURE DEPENDENCE ON STOCHATIC DYNAMIC DIFFUSION COEFFICIENTS OF HEATED ELECTROSPRAY IONIZATION AND ATMOSPHERIC PRESSURE CHEMICAL IONIZATION MASS SPECTROMETRIC INTENSITIES OF ANALYTE IONS OF CONFIGURATIONALLY LOCKED POLYENES – THEORY AND EXPERIMENT
<p>Experimental dataset of heated electrospray ionization and atmospheric pressure chemical ionization mass spectra of configurationally locked polyenes. The dataset is empirical proof of the validity of our new model equation connecting among the stochatic dynamic diffusion parameter, the temperature and the mass spectrometric measurable variable 'intensity' of an observable peak of analyte ion.</p>
Dataset related to article: "Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis"
<p>We provide the raw data used for the following article:</p> <ul> <li> <p>Ambrosino P, Scrutinio D, De Campi M, Miniero E, Formisano R, Spedicato GA, Iannuzzi GL, Pappone N.<br> <em>Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis. </em><br> "J Rehabil Med". 2020 Mar 18;52(3):jrm00030. doi: 10.2340/16501977-2658. PMID: 32104899.</p> </li> </ul> <p> </p> <p><strong>Abstract</strong></p> <p><strong>Objective: </strong> To assess the prevalence of diffuse idiopathic skeletal hyperostosis and its relationship with vascular risk factors among patients with congestive heart failure.</p> <p><strong>Design: </strong> Population-based cross-sectional study.</p> <p><strong>Participants: </strong> A total of 584 consecutive patients admitted to a Rehabilitative Cardiology Unit.</p> <p><strong>Methods: </strong> Chi-square Automatic Interaction Detector (CHAID) decision tree analysis was used to build a predictive model.</p> <p><strong>Results: </strong> The mean age (standard deviation) of the study population was 68.1 years (standard deviation 12.3), and 77.7% of the subjects were men. The overall prevalence of diffuse idiopathic skeletal hyperostosis in the cohort was 49.8%. Logistic regression analysis showed that age was a predictor of diffuse idiopathic skeletal hyperostosis (odds ratio: 1.034; 95% confidence interval 1.021-1.047, p < 0.001), with increasing odds ratios for increasing age tertiles. The CHAID prediction model identified 2 age "buckets": < 69 and ≥ 69 years. Patients ≥ 69 years had a diffuse idiopathic skeletal hyperostosis prevalence of 60.1%, compared with 39.2% among those < 69 years. Notably, body mass index was a predictor of diffuse idiopathic skeletal hyperostosis in this younger subset of patients (p = 0.028), with 2 body mass index "buckets", ≤ 23.3 and > 23.3 kg/m2, the latter showing more than twice the prevalence of diffuse idiopathic skeletal hyperostosis (43.2% vs 20%).</p> <p><strong>Conclusion: </strong> Diffuse idiopathic skeletal hyperostosis is extremely frequent among patients with congestive heart failure, with age and body mass index being the strongest predictors.</p>
Data_Use of Nanoscale Carbon Layers on Ag-Based Gas Diffusion Electrodes to Promote CO Production
<p>The folder contains the processed data of figures 3, 4, 5, 6, 8, S6 and S10 that appear in:</p> <p>L. Pacquets, J. Van den Hoek, D. Arenas-Esteban, R. Ciocarlan, P. Cool, K. Baert, T. Hauffman, N. Daems, S. Bals and T. Breugelmans, Use of Nanoscale Carbon Layers on Ag-Based Gas Diffusion Electrodes to Promote CO Production, ACS Applied Nano Materials, 2022, 5, 7723-7732.</p> <p><a href="https://doi.org/10.1021/acsanm.2c00473">https://doi.org/10.1021/acsanm.2c00473</a> </p>
Data_Influence of flow and pressure distribution inside a gas diffusion electrode on the performance of a flow-by CO2 electrolyzer
<p>The folder contains the processed data of figures 3, 4, 6, 7, 8, 10, S1 and S2 that appear in:</p> <p>Bert De Mot, Jonas Hereijgers, Miguel Duarte, Tom Breugelmans, Influence of flow and pressure distribution inside a gas diffusion electrode on the performance of a flow-by CO2 electrolyzer, Chemical Engineering Journal, Volume 378, 2019, 122224, ISSN 1385-8947, https://doi.org/10.1016/j.cej.2019.122224.</p>
Data_Electrochemical Reduction of CO2: Effect of Convective CO2 Supply in Gas Diffusion Electrodes
<p>The folder contains the processed data of figures 3, 4, 5 and 6 that appear in:</p> <p>M. Duarte, B. De Mot, J. Hereijgers, T. Breugelmans, Electrochemical Reduction of CO2: Effect of Convective CO2 Supply in Gas Diffusion Electrodes, ChemElectroChem. 6 (2019)</p> <p><a href="https://doi.org/10.1002/celc.201901454">https://doi.org/10.1002/celc.201901454</a></p>
Data_Size-controlled electrodeposition of Cu nanoparticles on gas diffusion electrodes in methanesulfonic acid solution
<p>The folder contains the processed data of figures 1, 2, 3, 4, 9, 10, S1, S2, S3, S7, S6 and S7 that appear in:</p> <p> </p> <p>Pacquets, L., Irtem, E., Neukermans, S. et al. Size-controlled electrodeposition of Cu nanoparticles on gas diffusion electrodes in methanesulfonic acid solution. J Appl Electrochem 51, 317–330 (2021)</p> <p>https://doi.org/10.1007/s10800-020-01474-5</p>
Muscle Diffusion Tensor Imaginig in Facioscapulohumeral muscular dystrophy
<p>Introduction/Aims</p> <p>Muscle diffusion tensor imaging (mDTI) has not yet been explored in facioscapulohumeral muscular dystrophy (FSHD). We aimed to assess diffusivity parameters in FSHD subjects compared to healthy controls (HCs), with regard to their ability to precede any fat replacement process in the muscle.</p> <p>Methods</p> <p>Fat Fraction (FF), water T2 (wT2), Mean, Radial and Axial Diffusivity (MD, RD, AD) and Fractional Anisotropy (FA) of thigh muscles were calculated in a cohort of ten FSHD subjects and fifteen age-matched HCs. All parameters were compared between FSHD subjects and controls, exploring also their values along the main axis of the muscle. Diffusivity parameters were tested as predictors of disease involvement in muscle compartments with no significant fat substitution and edema. Whole-thigh mDTI values were correlated to clinical severity scores.</p> <p> </p> <p>Results</p> <p>FF and wT2 were significantly higher in FSHD than controls whereas MD, RD and AD were significantly lower than controls (p < .05). No difference with controls was shown for FA. FF positively correlated with FA and negatively with MD, RD and AD. FF and FA showed significantly higher values distally than proximally. whereas wT2, MD, RD, AD showed lower values distally than proximally (p<.05). Muscles with no significant fat replacement or edema showed a significantly lower AD and FA than controls. FA was the only parameter to positively correlate with the 6-Minute Walking Test.</p> <p> </p> <p>Discussion</p> <p>Our results suggest that mDTI parameters appear to predominantly reflect fat replacement in FSHD and might be able to show disease involvement in muscles even before significant fat replacement.</p>
Steering Hydrocarbon Selectivity in CO2 Electroreduction over Soft-landed CuOx Nanoparticle-Functionalized Gas Diffusion Electrodes
<p>The folder contains the tabulated data of figures 3,4,5,6, S3, S12 and S13 in excel, as well as the edited figures in ppt and tiff format, as appeared in:</p> <p>Steering Hydrocarbon Selectivity in CO2 Electroreduction over Soft-landed CuOx Nanoparticle-Functionalized Gas Diffusion Electrodes. <em>ACS Applied Materials & Interfaces</em> 14 (2), 2691-2702.</p>
Enhanced Diffusion of Membrane Tethered Enzymes
<p>Data sets of those plotted in figures. File type is excel files. Some contain the data plotted as well as the data used to generate plots. Additional data available upon request.</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.