100+ datasets found
  1. Electron Microscope Database

    • researchdata.edu.au
    • cmr.earthdata.nasa.gov
    Updated Oct 7, 1999
    + more versions
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    VAN DEN ENDEN, DERRICK (1999). Electron Microscope Database [Dataset]. http://doi.org/10.4225/15/5773130A3E465
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    Dataset updated
    Oct 7, 1999
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Australian Antarctic Data Centre
    Authors
    VAN DEN ENDEN, DERRICK
    Time period covered
    Jan 1, 1983 - Present
    Area covered
    Description

    This database contains information pertaining to the negatives taken by the laboratory since its inception. Both scanning and transmission electron micrographs are catalogued within this database.

    Among other things, the database includes a large number of images of protists.

    The URLs provided link to a marine specimens database, and a terrestrial and limnetic specimens database.

  2. n

    Cell Centered Database

    • neuinfo.org
    • dknet.org
    • +1more
    Updated Oct 16, 2019
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    (2019). Cell Centered Database [Dataset]. http://identifiers.org/RRID:SCR_002168
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    Dataset updated
    Oct 16, 2019
    Description

    THIS RESOURCE IS NO LONGER IN SERVICE, documented June 5, 2017. It has been merged with Cell Image Library. Database for sharing and mining cellular and subcellular high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging that makes unique and valuable datasets available to the scientific community for visualization, reuse and reanalysis. Techniques range from wide field mosaics taken with multiphoton microscopy to 3D reconstructions of cellular ultrastructure using electron tomography. Contributions from the community are welcome. The CCDB was designed around the process of reconstruction from 2D micrographs, capturing key steps in the process from experiment to analysis. The CCDB refers to the set of images taken from microscope the as the Microscopy Product. The microscopy product refers to a set of related 2D images taken by light (epifluorescence, transmitted light, confocal or multiphoton) or electron microscopy (conventional or high voltage transmission electron microscopy). These image sets may comprise a tilt series, optical section series, through focus series, serial sections, mosaics, time series or a set of survey sections taken in a single microscopy session that are not related in any systematic way. A given set of data may be more than one product, for example, it is possible for a set of images to be both a mosaic and a tilt series. The Microscopy Product ID serves as the accession number for the CCDB. All microscopy products must belong to a project and be stored along with key specimen preparation details. Each project receives a unique Project ID that groups together related microscopy products. Many of the datasets come from published literature, but publication is not a prerequisite for inclusion in the CCDB. Any datasets that are of high quality and interest to the scientific community can be included in the CCDB.

  3. i

    Data from: Light Field Microscopy Datasets

    • ieee-dataport.org
    Updated May 18, 2022
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    Yunlong Wang (2022). Light Field Microscopy Datasets [Dataset]. https://ieee-dataport.org/documents/light-field-microscopy-datasets
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    Dataset updated
    May 18, 2022
    Authors
    Yunlong Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    including self-captured light field microscopy datasets with lab-assembled LF microscope.

  4. m

    Multiple Parasites Image Dataset under Microscope

    • data.mendeley.com
    Updated Oct 6, 2020
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    Sen Li (2020). Multiple Parasites Image Dataset under Microscope [Dataset]. http://doi.org/10.17632/38jtn4nzs6.1
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    Dataset updated
    Oct 6, 2020
    Authors
    Sen Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Here, we collect a data set consisting totally 34298 from multiple parasites (Plasmodium, Toxoplasma Gondii (T.gondii), Babesia, Leishmania, Trypanosome, Trichomonad) and host cells (Red blood cell, and Leukocyte), which are all under 400X or 1000X microscopes. In detail, this parasite data set consists 843 Plasmodium; 3758 T.gondii under 400X microscope, and 2933 T.gondii under 1000X microscope; 1173 Babesia, 2701 Leishmania, 2385 Trypanosome, and 10134 Trichomonad, which are all under 1000X microscope. Besides, this data contains 8995 RBCs (Red Blood Cell) and 461 Leukocyte under 1000X, and extra 915 Leukocyte are captured under 400X microscope.

  5. China CN: Export: Stereoscopic Microscope

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Export: Stereoscopic Microscope [Dataset]. https://www.ceicdata.com/en/china/pharmaceutical-trade-diagnosis-and-treatment-appliances-quantity/cn-export-stereoscopic-microscope
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    China
    Variables measured
    Merchandise Trade
    Description

    China Export: Stereoscopic Microscope data was reported at 88,318.000 Unit in Mar 2025. This records an increase from the previous number of 58,447.000 Unit for Jan 2025. China Export: Stereoscopic Microscope data is updated monthly, averaging 19,852.500 Unit from Jan 2009 (Median) to Mar 2025, with 194 observations. The data reached an all-time high of 277,381.000 Unit in Dec 2023 and a record low of 0.000 Unit in Jan 2009. China Export: Stereoscopic Microscope data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Pharmaceutical Sector – Table CN.RTB: Pharmaceutical Trade: Diagnosis and Treatment Appliances: Quantity.

  6. Global export data of Microscope

    • volza.com
    csv
    Updated May 31, 2025
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    Volza FZ LLC (2025). Global export data of Microscope [Dataset]. https://www.volza.com/p/microscope/export/export-from-india/cod-germany/
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    100 Global export shipment records of Microscope with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  7. d

    Scanning Electron Microscope Images of Particulate Matter in Lung Tissue

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Scanning Electron Microscope Images of Particulate Matter in Lung Tissue [Dataset]. https://catalog.data.gov/dataset/scanning-electron-microscope-images-of-particulate-matter-in-lung-tissue
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    We developed and tested a new method for in situ characterization and distribution of inorganic particles in biopsied lung tissue from three diverse human subject groups using field emission scanning electron microscopy with an energy dispersive analyzer. Secondary and backscattered electron images were acquired to document the size and location of inorganic particulate matter in areas of lung tissue biopsy sections.

  8. Data from: PHOENIX MARS MECA OPTICAL MICROSCOPE 2 EDR VERSION 1.0

    • catalog.data.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +2more
    Updated Apr 10, 2025
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    National Aeronautics and Space Administration (2025). PHOENIX MARS MECA OPTICAL MICROSCOPE 2 EDR VERSION 1.0 [Dataset]. https://catalog.data.gov/dataset/phoenix-mars-meca-optical-microscope-2-edr-version-1-0-00e88
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The Microscopy, Electrochemistry, and Conductivity Analyzer (MECA) experiment on the Mars Phoenix Lander consists of four instrument components plus command electronics. This MECA Imaging EDR data set contains data from one of the four MECA components, the Optical Microscope (OM).

  9. f

    Aqualitas Database (full release)

    • figshare.com
    zip
    Updated May 30, 2023
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    Carlos Sanchez Bueno; Saul Blanco; Gloria Bueno; Maria Borrego-Ramos; Gabriel Cristobal (2023). Aqualitas Database (full release) [Dataset]. http://doi.org/10.6084/m9.figshare.11728980.v18
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Carlos Sanchez Bueno; Saul Blanco; Gloria Bueno; Maria Borrego-Ramos; Gabriel Cristobal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Aqualitas database (full release) corresponding to 100 diatom taxa with about 100 specimens/taxon. The images have been taken with a 60X, NA=0.85 objective using oblique illumination. If you use this database please cite the following publications:[1] Bueno, G. et al, “Automated Diatom Classification (Part A): Handcrafted feature approaches", Applied Sciences, 7, 753, pp. 1-22 (2017) doi: 10.3390/app7080753[2] Pedraza, A. et al, “Automated Diatom Classification (Part B): A Deep Learning Approach" Applied Sciences, 7, 460, pp. 1-25 (2017) doi: 10.3390/app7050460 NOTE: For calibrating the images, use the attached image ruler. The distance between the large ticks is 100um.AcknowledgementsThis work was supported by the Spanish Government under the Aqualitas project (CTM2014-51907) during the period 2015-2019.

  10. d

    Data associated with manuscript "Linearizing the vertical scale of an...

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Sep 11, 2024
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    National Institute of Standards and Technology (2024). Data associated with manuscript "Linearizing the vertical scale of an interferometric microscope and its effect on step-height measurement" [Dataset]. https://catalog.data.gov/dataset/data-associated-with-manuscript-linearizing-the-vertical-scale-of-an-interferometric-micro
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    Dataset updated
    Sep 11, 2024
    Dataset provided by
    National Institute of Standards and Technology
    Description

    This repository contains all of the data used in the manuscript "Linearizing the vertical scale of an interferometric microscope and its effect on step-height measurement," by Thomas A. Germer, T. Brian Renegar, Ulf Griesmann, and Johannes A. Soons, which has been published in Surface Topography: Metrology and Properties volume 12, number 2, article 025012 on 8 May 2024. The repository also contains a Python Jupyter notebook that performs the analysis of the data and generates the figures in the manuscript.

  11. n

    Protein Subcellular Location Image Database

    • neuinfo.org
    • dknet.org
    • +1more
    Updated Jan 29, 2022
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    (2022). Protein Subcellular Location Image Database [Dataset]. http://identifiers.org/RRID:SCR_008663
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    Dataset updated
    Jan 29, 2022
    Description

    THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017.Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging.

  12. BioSR: a biological image dataset for super-resolution microscopy

    • figshare.com
    zip
    Updated Jan 2, 2024
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    Chang Qiao; Di Li (2024). BioSR: a biological image dataset for super-resolution microscopy [Dataset]. http://doi.org/10.6084/m9.figshare.13264793.v9
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    zipAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Chang Qiao; Di Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BioSR is a biological image dataset for super-resolution microscopy, currently including more than 2200 pairs of low-and-high resolution images covering four biology structures (CCPs, ER, MTs, F-actin), nine signal levels (15-600 average photon count), and two upscaling-factors (linear SIM and non-linear SIM). BioSR is now freely available, aiming to provide a high-quality dataset for the community of single bio-image super-resolution algorithm and advanced SIM reconstruction algorithm developers. For more information about BioSR, please see our Nature Methods manuscript, "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (DOI: 10.1038/s41592-020-01048-5). Update 2022.10.04 Add DataSet of rDL-SRM (Zenodo Link).xlsx file, which includes descriptions and Zenodo links of BioSR+ (data extension of BioSR) and other data used in our Nature Biotechnology paper "Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes" (DOI: 10.1038/s41587-022-01471-3 ).

  13. T

    China Exports of compound optical microscopes, parts & accessories to...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 10, 2023
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    TRADING ECONOMICS (2023). China Exports of compound optical microscopes, parts & accessories to Lesotho [Dataset]. https://tradingeconomics.com/china/exports/lesotho/compound-optical-microscopes-parts-accessories
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 10, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    China
    Description

    China Exports of compound optical microscopes, parts & accessories to Lesotho was US$65.86 Thousand during 2023, according to the United Nations COMTRADE database on international trade. China Exports of compound optical microscopes, parts & accessories to Lesotho - data, historical chart and statistics - was last updated on July of 2025.

  14. n

    Database of Results. V&A cast of a font (REPRO1874-29)

    • figshare.northumbria.ac.uk
    xlsx
    Updated Feb 11, 2021
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    Valentina Risdonne; Charis Theodorakopoulos (2021). Database of Results. V&A cast of a font (REPRO1874-29) [Dataset]. http://doi.org/10.25398/rd.northumbria.13902737.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 11, 2021
    Dataset provided by
    Northumbria University
    Authors
    Valentina Risdonne; Charis Theodorakopoulos
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Collection of results of analyses carried on the V&A cast a font (REPRO.1874-29).Sampling, OM-BSE, Summary and Samples 1 to 6 (OM, SEM-EDS, XRD, FT-IR, GC/MS). Raw data available upon request.

  15. The Forest Species Database (FSD)

    • zenodo.org
    zip
    Updated Nov 28, 2023
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    Luiz Eduardo Soares de Oliveira; Luiz Eduardo Soares de Oliveira (2023). The Forest Species Database (FSD) [Dataset]. http://doi.org/10.5281/zenodo.10214312
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    zipAvailable download formats
    Dataset updated
    Nov 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Luiz Eduardo Soares de Oliveira; Luiz Eduardo Soares de Oliveira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 microscope with 100 times zoom. The resulting color images were saved in PNG (Portable Network Graphics) format with no compression and a resolution of 1024 × 768 pixels. The figure below provides some samples of the database.

    The FSD 1.0 is structured as follows:

    • 112 species – 20 images per species = 2,240 images.

    The FS Database may be used for non-commercial research provided you acknowledge the source of the image by citing the following paper in publications about your research:

    • J. Martins, L. S. Oliveira, S. Nigkoski, R. Sabourin, A Database for Automatic Classification of Forest Species, Machine Vision and Applications, 24(3): 567-578, 2013. (pdf)

  16. China CN: Import: Stereoscopic Microscope

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Import: Stereoscopic Microscope [Dataset]. https://www.ceicdata.com/en/china/pharmaceutical-trade-diagnosis-and-treatment-appliances-quantity/cn-import-stereoscopic-microscope
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    China
    Variables measured
    Merchandise Trade
    Description

    China Import: Stereoscopic Microscope data was reported at 575.000 Unit in Mar 2025. This records an increase from the previous number of 410.000 Unit for Feb 2025. China Import: Stereoscopic Microscope data is updated monthly, averaging 690.000 Unit from Jan 2009 (Median) to Mar 2025, with 195 observations. The data reached an all-time high of 1,724.000 Unit in Nov 2022 and a record low of 0.000 Unit in Jan 2009. China Import: Stereoscopic Microscope data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Pharmaceutical Sector – Table CN.RTB: Pharmaceutical Trade: Diagnosis and Treatment Appliances: Quantity.

  17. Transmission electron microscope tomographic data of aligned carbon...

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
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    National Institute of Standards and Technology (2022). Transmission electron microscope tomographic data of aligned carbon nanotubes in epoxy at volume fractions of 0.44%, 2.6%, 4%, and 6.9%. [Dataset]. https://catalog.data.gov/dataset/transmission-electron-microscope-tomographic-data-of-aligned-carbon-nanotubes-in-epoxy-at-
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    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Transmission electron microscope tomographic data of aligned carbon nanotubes in epoxy at volume fractions of 0.44%, 2.6%, 4%, and 6.9%. Reduced data and analysis are available at https://doi.org/10.1021/acsnano.5b01044 . This is the raw data used to generate the figures in "The evolution of carbon nanotube network structure in unidirectional nanocomposites resolved by quantitative electron tomography", Bharath Natarajan, Noa Lachman, Thomas Lam, Douglas Jacobs, Christian Long, Minhua Zhao, Brian L Wardle, Renu Sharma, J Alexander Liddle, ACS Nano, vol. 9, pp 6050-6058 (2015), and is further analyzed in "Aligned carbon nanotube morphogenesis predicts physical properties of their polymer nanocomposites", Bharath Natarajan, Itai Y. Stein, Noa Lachman, Namiko Yamamoto, Douglas S. Jacobs, Renu Sharma, J. Alexander Liddle and Brian L. Wardle, Nanoscale, vol. 11, pp16327-16335 (2019), and "Modeliing the Electromagnetic Scattering Characteristics of Carbon Nanotube Composites Characterized by 3-D Tomographic Transmission Electron Microscopy", Ahmed M. Hassan, MD Khadimul Islam, Spencer On, Bharath Natarajan, Itai Y. Stein, Noa Lachman, Estelle Cohen, Brian L. Wardle, Renu Sharma, J. Alexander Liddle, and Edward J. Garboczi, IEEE Open Journal of Antennas and Propagation, vol. 1, pp 142-158 (2020). Carbon nanotube (CNT) reinforced polymers are next-generation, high-performance, multifunctional materials with a wide array of promising applications. Successful introduction of such materials is hampered by the lack of a quantitative understanding of process-structure-property relationships. These relationships are developed through the detailed characterization of nanoscale reinforcement morphology within the embedding medium. We reveal the three-dimensional (3D) nanoscale morphology of high volume fraction (Vf) aligned CNT/epoxy-matrix nanocomposites using energy-filtered electron tomography. We present an automated phase-identification method for fast, accurate, representative rendering of the CNT spatial arrangement in these low-contrast bimaterial systems. The resulting nanometer-scale visualizations provide quantitative information on the evolution of CNT morphology and dispersion state with increasing Vf, including network structure, CNT alignment, bundling and waviness. The CNTs exhibit a nonlinear increase in bundling and alignment and a decrease in waviness as a function of increasing Vf. Our findings explain previously observed discrepancies between the modeled and measured trends in bulk mechanical, electrical and thermal properties. The techniques we have developed for morphological quantitation are applicable to many low-contrast material systems. We use new, nanoscale quantitative 3D morphological information and stochastic modeling to re-interpret experimental measurements of continuous aligned carbon nanotube (A-CNT) PNC properties as a function of A-CNT packing/volume fraction. The 3D tortuosity calculated from tomographic reconstructions and its evolution with Vf is used to develop a novel definition of waviness that incorporates the stochastic nature of CNT growth. The importance of using randomly wavy CNTs to model these materials is validated by agreement between simulated and previously-measured PNC elastic moduli. Secondary morphological descriptors such as CNT-CNT junction density and inter-junction distances are measured for transport property predictions. The scaling of the junction density with CNT volume fraction is observed to be non-linear, and this non-linearity is identified as the reason behind the previously unexplained scaling of aligned-CNT PNC longitudinal thermal conductivity. The measured electrical conductivity scales linearly with Vf as it is relatively insensitive to junction density beyond percolation.

  18. Data for axial de-scanning microscope paper

    • zenodo.org
    zip
    Updated Mar 24, 2024
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    Hassan Dibaji; Ali K. N. Shotorban; Sheng Liu; Tonmoy Chakraborty; Hassan Dibaji; Ali K. N. Shotorban; Sheng Liu; Tonmoy Chakraborty (2024). Data for axial de-scanning microscope paper [Dataset]. http://doi.org/10.5281/zenodo.10864759
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    zipAvailable download formats
    Dataset updated
    Mar 24, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hassan Dibaji; Ali K. N. Shotorban; Sheng Liu; Tonmoy Chakraborty; Hassan Dibaji; Ali K. N. Shotorban; Sheng Liu; Tonmoy Chakraborty
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Fig2_bead_data.zip

    Bead data for Fig. 2c-d, regions within 5 μm around the light-sheet waist were cropped. Bead data are without deconvolution.

    Fig3_cell_data.zip

    Cell data for Fig. 3. Each cell data contain a 4D data stack for each color channel. Cell data are after deconvolution and interpolation as desribed in the paper.

  19. T

    United States Exports of microscopes other than optical microscopes to...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 11, 2024
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    TRADING ECONOMICS (2024). United States Exports of microscopes other than optical microscopes to Cyprus [Dataset]. https://tradingeconomics.com/united-states/exports/cyprus/microscopes-except-optical-diffraction-apparatus-parts
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 11, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Exports of microscopes other than optical microscopes to Cyprus was US$70.75 Thousand during 2022, according to the United Nations COMTRADE database on international trade. United States Exports of microscopes other than optical microscopes to Cyprus - data, historical chart and statistics - was last updated on June of 2025.

  20. T

    United States Exports of microscopes other than optical microscopes to...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 15, 2024
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    TRADING ECONOMICS (2024). United States Exports of microscopes other than optical microscopes to Moldova [Dataset]. https://tradingeconomics.com/united-states/exports/moldova/microscopes-except-optical-diffraction-apparatus-parts
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Aug 15, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Dec 31, 2025
    Area covered
    United States
    Description

    United States Exports of microscopes other than optical microscopes to Moldova was US$34 Thousand during 2013, according to the United Nations COMTRADE database on international trade. United States Exports of microscopes other than optical microscopes to Moldova - data, historical chart and statistics - was last updated on June of 2025.

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VAN DEN ENDEN, DERRICK (1999). Electron Microscope Database [Dataset]. http://doi.org/10.4225/15/5773130A3E465
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Electron Microscope Database

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 7, 1999
Dataset provided by
Australian Antarctic Divisionhttps://www.antarctica.gov.au/
Australian Antarctic Data Centre
Authors
VAN DEN ENDEN, DERRICK
Time period covered
Jan 1, 1983 - Present
Area covered
Description

This database contains information pertaining to the negatives taken by the laboratory since its inception. Both scanning and transmission electron micrographs are catalogued within this database.

Among other things, the database includes a large number of images of protists.

The URLs provided link to a marine specimens database, and a terrestrial and limnetic specimens database.

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