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35 results for “psf”
Set of simulated overexposured PSF's
<p>This archive contains synthetic data for calculations supporting the presentation of a new phase retrieval method in SPIE BiOS 2022 conference (<a href="https://doi.org/10.1117/12.2609697">https://doi.org/10.1117/12.2609697</a>). <br> <br> The set contains representatives of three different types of pupil phases and the corresponding point-spread functions (PSFs), reflecting various noise and hardware parameters. Please refer to the proceedings paper for details,</p>
NASA Pandora PSF Models
<p>These fits files contain the expected PSF of the Pandora mission as a function of location on the detector, wavelength, and temperature. These are required inputs to build simulations of the Pandora dataset using the pandora-sat open source software package. These files were built by Lawrence Livermore National Labs.</p> <p> </p> <p>These can be read by pandora-sat v0.9.0</p> <p>https://github.com/PandoraMission/pandora-sat/tree/main</p>
Supplementary material for "Phase Retrieval from overexposed PSF" article
<p>Supplementary material for "Phase Retrieval from overexposed PSF" article, submitted to Optics Communications (http://dx.doi.org/10.2139/ssrn.4267855).</p> <p>The pdf files present the results of the phase retrieval task as described in Sections 5 and 6 of the article and provide an easy-to-navigate tool for browsing through the parameter space of the simulation and of the algorithm. Click on the parameter values in the right-hand side of the browser page to navigate to the corresponding result.</p>
JWST NIRSpec/MSA PSF libraries
<p>This dataset contains libraries of model PSFs for the JWST/NIRSpec MSA, as described in de Graaff et al. 2023 (https://arxiv.org/abs/2308.09742).<br> We provide one library for each NIRSpec disperser, for a single-shutter and triple shutter configuration (1x1 and 1x3, respectively). The PSFs were computed at the centre of MSA quadrant 3 (shutter (185,83)). The libraries contain PSF images at a range of different wavelengths and intrashutter positions.<br> Libraries can be used in combination with the software msafit, in particular the PFSLib class. The software is available publicly on github: https://github.com/annadeg/jwst-msafit</p>
Example data for localize-psf
Open the record for dataset details and reuse information.
PSF-SOM full results
<p>This archive contains full results generated with PSF-SOM algorithm.</p> <p>Analysis was performed using oposSOM R package (see main article for details).</p> <p>The most convenient way to browse the results is starting from <em><strong>"Summary.html"</strong></em> file from <strong><em>"Autoimmunity_PSF-SOM"</em></strong> folder. </p> <p><strong><em>"Autoimmunity_PSF-SOM.RData"</em></strong> file contains all variables produced during the analysis. </p> <p> </p>
MD files (psf, pdb, and toppar) for the trajectories of the glycoprotein receptors FSHR and LHCGR.
<p>PSF and PDB files for trajectories on FSHR and LHCGR in SDPC lipids. Top and par parameters for charmm36m included.</p><p>PDB files and trr files include only backbone atoms. All frames were fitted to the to the transmembrane domains.</p>
Alvimopan and Ileus in PSF
ClinicalTrials.gov study NCT02218190. IPD Sharing: Not stated. Countries: 1. Publications: 15.
V+PSF-M for Tobacco Cessation in HIV Care in India
ClinicalTrials.gov study NCT05786547. IPD Sharing: YES. Countries: 2. Publications: 1.
PSF Estimation and deconvolution: models, microscopy images, and datasets
<p>This is the accompanying dataset for the publication Adrian Shajkofci, Michael Liebling, “Spatially-Variant CNN-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy,” IEEE Transactions on Image Processing, vol. 29, pp. 5848-5861, 2020.</p> <p>Publications based on this data must cite the above paper.<br> <br> BibTeX Citation:<br> @ARTICLE{shajkofci.liebling:20,<br> author={A. Shajkofci and M. Liebling},<br> journal={IEEE Trans. Image Proces.}, <br> title={Spatially-Variant {CNN}-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy},<br> year={2020},<br> volume={29},<br> number={},<br> pages={5848-5861},<br> doi={10.1109/TIP.2020.2986880}}<br> </p> <p>In the archive, you will find :</p> <ul> <li>- Trained models for PSF estimation and deconvolution</li> <li>- Synthetic training dataset of cells and beads</li> <li>- Stacks of multi-channel fluorescence microscopy images of HeLa cells, rat brain cells, beads and plant cells to test the PSF estimation tool, deconvolution algorithm or auto-focus algorithm.</li> <li>- Stacks of tilted grid (3, 6 and 9 degrees) using astigmatic lenses for depth estimation.<br> </li> </ul> <p>The code for running the models is available here:<br> <a href="https://github.com/idiap/psfestimation">https://github.com/idiap/psfestimation</a></p> <p><br> <strong>Reference paper</strong></p> <p>A. Shajkofci and M. Liebling, "Spatially-Variant CNN-Based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy," in IEEE Transactions on Image Processing, vol. 29, pp. 5848-5861, 2020, doi: 10.1109/TIP.2020.2986880.</p> <p> </p> <p><strong>Ethical compliance</strong></p> <p>The post-mortem stained and fixed tissue slices whose images are included in this data set were reused from experiments approved by the EPFL ethics committee.</p> <p> </p> <p><strong>Funding</strong></p> <p>This work was supported by the Swiss National Science Foundation under Grants 206021_164022 “Platform for Reproducible Acquisition, Processing, and Sharing of Dynamic, Multi-Modal Data” and 200020_179217 “COMPBIO: Computational biomicroscopy: advanced image processing methods to quantify live biological systems”</p>
Datasets for "Depth-enhanced high-throughput microscopy by compact PSF engineering"
<p>Datasets and code accompanying the paper: "Depth-enhanced high-throughput microscopy by compact PSF engineering". The data is split by two PSF types: Extended-Depth-Of-Field (EDOF) PSF, and the Tetrapod PSF. For EDOF imaging, 3 datasets are included: sparse and dense beads embedded in a gel, and a cellular spheroid imaged with/without the EDOF PSF. For 3D imaging with the Tetrapod PSF, the training/testing data of CellSnap is provided, in addition to a sample of diffusing beads exemplifying the application of nanoparticle tracking analysis. </p>
Up sampled PSF datasets: demo dataset and SMLM dataset
<p>Demo1 corresponds to the simulated data files, while Demo2 corresponds to the experimental data files. Nup96-AF647 corresponds to the SMLM data files.</p>
Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF)
<p>DICOM data and SPSS datasets with all derived measures (SUV, recovery coefficients, spatial resolution, SNR) that are the basis for the publication.</p>
Hyperspectral Oblique Plane Microscopy -- CAD model and PSF
<p>CAD model (without Raman laser) and PSF data</p>
Figure 4 from: Ferreira PSF, Lopes JLB, Souza F, Ferreira LSF (2018) Atahualpacoris henryi, a new species of plant bug from Colombia (Heteroptera, Miridae, Mirini). In: Wheeler Jr AG (Ed.) A Festschrift Recognizing Thomas J. Henry for a Lifetime of Contributions to Heteropteran Systematics. ZooKeys 796: 175-185. https://doi.org/10.3897/zookeys.796.20801
Figure 4 Atahualpacorishenryi sp. n. male, holotype A endosoma a longer spicule with many flat spines b shorter sickle-shaped spicule c third spicule larger at base d membranous lobes with tiny teeth B left paramere C right paramere.
Data and code for "Simultaneous multicolor fluorescence imaging using PSF splitting"
<p>Data and code for our paper "Simultaneous multicolor fluorescence imaging using PSF splitting".</p>
Analysis of RNA-binding protein PSF- and NONO-associated transcripts in breast cancer
GEO Series GSE133423. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of RNA-binding protein PSF-associated transcripts in prostate cancer
GEO Series GSE94243. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Analysis of the effect of PSF on the gene expression profile in neuronal cells
GEO Series GSE256401. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
HA-PSF-TFE3 bound regions in HA-PSF-TFE3 inducible HK-2 cells
GEO Series GSE297289. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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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.