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.
40
datasets available to search
ShareScore release 0.9.0
Dataset results
40 results for “transmission electron microscopy”
Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single crystal Cathode materials during degradation process
<p>Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single-crystal Cathode materials during the degradation process</p>
Transmission-scanning electron microscopy of interface fracture of ferrite deformation twins
Open the record for dataset details and reuse information.
Atomic resolution high-angle annular dark field scanning transmission electron microscopy imaging of WSe2 encapsulated within hexagonal boron nitride
Open the record for dataset details and reuse information.
Dataset for paper "Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al2O3"
<p>The collection of uploaded files constitutes a dataset supporting our findings, titled Dominance of Auger excitation in beam heating in transmission electron microscopy: Irradiation experiments and quantitative thermal analysis of α-Al<sub>2</sub>O<sub>3</sub>, to be submitted to a scientific journal. The input file for finite element analysis, with the ".inp" extension, is also included.</p>
Transmission Electron Microscopy Images for Platelet Ultrastructural Criteria Before and After the Onset of an Antiplatelet Agent
ClinicalTrials.gov study NCT05004233. IPD Sharing: NO. Countries: 1. Publications: 1.
In Situ Transmission Electron Microscopy Data of Dislocations in Imperfectly Attached PbTe Nanocrystal Pairs
Open the record for dataset details and reuse information.
Videos of Gold Nanorods Etching in Graphene Liquid Cell Transmission Electron Microscopy- 28 mM FeCl3
Open the record for dataset details and reuse information.
Videos of Gold Nanorods Etching in Graphene Liquid Cell Transmission Electron Microscopy- 42 mM FeCl3
Open the record for dataset details and reuse information.
Videos of Gold Nanorods Etching in Graphene Liquid Cell Transmission Electron Microscopy- 38 mM FeCl3
Open the record for dataset details and reuse information.
Videos of Gold Nanorods Etching in Graphene Liquid Cell Transmission Electron Microscopy- 34 mM FeCl3
Open the record for dataset details and reuse information.
Transmission electron microscopy (TEM) image datasets of peptide / protein nanowire morphologies
<p>TEM image dataset containing four nanowire morphologies of bio-derived protein nanowires and synthetic peptide nanowires.</p> <p>The peptide / protein nanowires used in this study were synthesized and imaged by Brian Montz in Prof. Todd Emrick's research group at the Department of Polymer Science and Engineering Department, University of Massachusetts Amherst. </p> <p>We acknowledge financial support from the U.S. National Science Foundation, Grant NSF DMREF #1921839 and DMREF #1921871.</p> <p>Nanowires were classified into either of the four morphologies: bundle, singular, dispersed or network. Each morphology contains 100 images (jpg files).</p> <p>For the dispersed and network morphologies, because these two morphologies are harder to visually distinguish, we have created manual segmentation labels of the nanowires (included in these two morphology folders as png files). Percolation analysis was done on these manually segmented nanowires to provide quantitative metric on whether the nanowires form a network in the image. </p> <p>seg_mask_5_resolutions.zip contains ground truth 2D binary encoding of segmented nanowires at 5 resolutions.</p> <p>encoders_trained_with_optimized_hyperparameter.zip contains 4 sets of encoders trained with either SimCLR or Barlow-Twins self-supervised methods on either generic TEM images, or generic everyday photographic images (each with 5 replicates with different random seed) with optimized hyperparameters.</p> <p>Open-access datasets that have been used during self-supervised training.</p> <ul> <li>2021-CEM500K.zip contains 10,000 images that was used as "generic TEM images" to train the encoders with self-supervised methods, these are a random selection from the CEM500k open-access dataset. DOI: <a href="https://doi.org/10.7554/eLife.65894">10.7554/eLife.65894</a></li> <li>2022-1000-ImageNet.zip contains 1,000 images from the ImageNet1k dataset, each come from a different category. DOI: <a href="http://doi.org/10.1007/s11263-015-0816-y">10.1007/s11263-015-0816-y</a></li> </ul> <p>Open-access datasets that our machine learning workflow have been applied to:</p> <ul> <li>2022-AutoDetect-mNP-morphology.zip contains a selected TEM images of nanoparticles categorized in 3 morphologies from the AutoDetect-mNP datasets: DOI: <a href="http://doi.org/10.6078/D1WT44">10.6078/D1WT44</a> and DOI: <a href="http://doi.org/10.6078/D1S12H">10.6078/D1S12H</a></li> <li>2021-TEM virus.zip contains TEM images of 9 types of viruses from the TEM virus dataset. Matuszewski, Damian; Sintorn, Ida-Maria (2021), “TEM virus dataset”, Mendeley Data, V3, DOI: <a href="http://doi.org/10.17632/x4dwwfwtw3.3">10.17632/x4dwwfwtw3.3</a></li> </ul> <p>The official github page of the implementation of the machine learning models is <a href="https://github.com/arthijayaraman-lab/semi-supervised_learning_microscopy_images">semi-supervised_learning_microscopy_images</a>.</p> <p>If you use the dataset or the codes in the repository linked above, please cite the following <a href="https://doi.org/10.1039/D2DD00066K">manuscript</a>:</p> <p>S. Lu, B. Montz, T. Emrick and A. Jayaraman, <em>Digital Discovery</em>, 2022, <strong>1</strong>, 816-833 , <strong>DOI: </strong>10.1039/D2DD00066K</p>
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM): Datasets
Open the record for dataset details and reuse information.
Figures 1-2 from: Brito P, Targueta C, Arruda W, Santos F, Bastos R (2019) The sexual dimorphic inguinal glands of the frog species Ololygon centralis (Anura: Hylidae) at light and transmission electron microscopy. Zoologia 36: 1-9. https://doi.org/10.3897/zoologia.36.e29356
Figures 1-2 Photographs of the lateral sides of a O.centralis male (1) and female (2). The dashed line marks the limit of the inguinal gland in males that are absent in females. Scale bars: 1 mm.
Figures 11-15 from: Brito P, Targueta C, Arruda W, Santos F, Bastos R (2019) The sexual dimorphic inguinal glands of the frog species Ololygon centralis (Anura: Hylidae) at light and transmission electron microscopy. Zoologia 36: 1-9. https://doi.org/10.3897/zoologia.36.e29356
Figures 11-15 Electron micrographs of the serous glands of the inguinal region. (11) Low magnification of the secretory syncytium with two visible nuclei (n) and also a sizeable cytoplasmic secretion aggregate (s). Notice the syncytium center (sc) filled with electron dense secretion and also the clear space (*) between syncytium basis and myoepithelial cells (m). Around the myoepithelial cells are some collagen fibrils (co). (12–13) Medium magnification of syncytium, where it is possible to notice some cytoplasmic secretion aggregate (s) and some regions of the cytoplasm with medium electron density (c). (14–15) Major magnifications of two large cytoplasmic secretion aggregate, with mixed portions of electron dense secretion (s) with medium electron density cytoplasm (c). (p) basal digitiform projections; (rer) rough endoplasmic reticulum. Sacale bars: 14, 15 = 1 μm, 12, 13 = 3 μm, 11 = 5 μm.
Figures 3-10 from: Brito P, Targueta C, Arruda W, Santos F, Bastos R (2019) The sexual dimorphic inguinal glands of the frog species Ololygon centralis (Anura: Hylidae) at light and transmission electron microscopy. Zoologia 36: 1-9. https://doi.org/10.3897/zoologia.36.e29356
Figures 3-10 Photomicrographs of histological sections of the male inguinal gland region of O.centralis. (3–6, 8) Histological sections stained with HE. 3) Section of skin from the peripherical region of the inguinal gland. Notice that only mucous glands are present. 4) Low magnification micrograph showing the presence of many syncytial glands (g), with arrows indicating the lateral limits of the inguinal gland. (4–6) Major magnifications of the glandular apical portion, with many melanocytes (m), mucous glands (mc) and myoepithelial cells (open arrows). Note the glandular ducts (dc). 7) Histological section submitted to PAS reaction. Notice that only some cells of the mucous glands (mc) exhibit a positive reaction (arrowheads). (8) Major magnification of the lateral base portion of the syncytium, with colloidal secretion (s) in syncytium cytoplasm. Note also a blood vessel in the connective tissue. (9) Methacrylate section treated with potassium permanganate and oxalic acid and stained with Nile blue. Notice the bleached melanocytes (m) and some syncytial cytoplasmic projections (*) through the glandular secretion (s). (10) Methacrylate section stained with toluidine blue. Notice the pale blue color of the secretion suggesting it is alkaline, contrasting with the dark blue color of the glandular syncytium (gs). (e) epidermis; (d) dermis; (black open arrow) myoepithelial cells; (c) blood cells. Scale bars: 5, 6, 8 = 10 μm, 3, 7, 9, 10 = 20 μm; 4 = 200 μm.
Figures 16-18 from: Brito P, Targueta C, Arruda W, Santos F, Bastos R (2019) The sexual dimorphic inguinal glands of the frog species Ololygon centralis (Anura: Hylidae) at light and transmission electron microscopy. Zoologia 36: 1-9. https://doi.org/10.3897/zoologia.36.e29356
Figures 16-18 (16) The basal portion of the syncytium with digitiform projections (p) and the clear space (*) between them and the myoepithelial cells. Notice the myoepithelial cells nuclei (n) and the collagen fibrils. (17) Detail of the connective tissue between two neighbor alveoli, with myoepithelial cells (m) and collagen fibrils (c). (18) The basal portion of a syncytium with intricate projection labyrinth. Notice the syncytium nucleus with irregular outline (n). Scale bars: 18 = 1 μm, 16, 17 = 3 μm.
Videos of Etching Gold Nanocubes and Nanorhombic Dodecahedra in Graphene Liquid Cell Transmission Electron Microscopy
Open the record for dataset details and reuse information.
Overlapping nanoparticles in transmission electron microscopy images
<p>Transmission electron microscopy images</p> <p><strong>PigmentYellow1&2:</strong> Pigment yellow, C<sub>36</sub>H<sub>32</sub>Cl<sub>4</sub>N<sub>6</sub>O<sub>8</sub>, average object diameter: 181.815 nm, imaging: TEM, image size: 5070x5070 nm (1024x1024 Pixel),</p> <p><strong>MonomodalSilica1&2:</strong> Monomodal colloidal silica, SiO<sub>2</sub>, average object diameter: 20.55 nm, imaging: TEM, image size: 405.56x405.56 nm (1024x1024 pixels)</p> <p><strong>MonomodalPolystyrol</strong>: Monomodal polystyrene, average object diameter: 37,231 nm, imaging: TEM, image size: 1013x1013 nm (1024x1024 pixels)</p> <p><strong>PluginResult: </strong> ImageJ/Fiji-Plugin result (Bachelor-Thesis of Louise Bloch) to count overlapping nanoparticles in transmission electron microscopy images</p>
Data for "Atomic-resolution transmission electron microscopy of electron beam-sensitive crystalline materials"
<p>The dataset contains two files associated with the paper titled "Atomic-resolution transmission electron microscopy of electron beam-sensitive crystalline materials".</p> <p><strong>1. Lowdose HRTEM images.zip</strong></p> <p>A compressed file containing the raw and processed HRTEM images discussed in the paper. </p> <p><strong>2. Plugins.zip</strong></p> <p>A compressed file containing two DigitalMicrograph plugins.</p> <p><em>(i) Zone_Axis_Alignment.gtk</em></p> <p>It is used for the quick alignment of crystal zone axis during TEM imaging. Test environment: Cs-corrected FEI Titan transmission electron microscope operated at 300 kV; Gatan Ultrascan 1000XP CCD camera; Gatan DigitalMicrograph V1.85. </p> <p><em>(ii) Amplitude_Filter.gtk</em></p> <p>It is used for the precise alignment of low-dose HRTEM images, and is referred to as an "Amplitude Filter" in the paper. Test environment: Gatan DigitalMicrograph V3.12. </p>
Environmental Transmission Electron Microscopy Data for In Situ Wettability Characterization
<p>ETEM data for the oil-water-rock system during spontaneous imbibition process</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.