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.
766
datasets available to search
ShareScore release 0.9.0
Dataset results
766 results for “microscope”
Figure 1 in The first extinct species of Acritus LeConte, 1853 (Histeridae: Abraeinae) from Eocene Baltic amber: a microscopic beetle inclusion studied with X-ray micro-computed tomography
Figure 1. Photomicrographs of Acritus sutirca sp. nov., holotype, no. 5541 (MAIG), habitus: (a) ventral view; (b) dorsal view; (c) left lateral view; (d) frontal view. Scale bar represents 0.2 mm.
Figure 2. X in The first extinct species of Acritus LeConte, 1853 (Histeridae: Abraeinae) from Eocene Baltic amber: a microscopic beetle inclusion studied with X-ray micro-computed tomography
Figure 2. X-ray micro-CT renderings of Acritus sutirca sp. nov., holotype, no. 5541 (MAIG), habitus: (a) dorsal view; (b) left lateral view; (c) ventral view; (d) right lateral view. Scale bar represents 0.2 mm.
Figure 4. X in The first extinct species of Acritus LeConte, 1853 (Histeridae: Abraeinae) from Eocene Baltic amber: a microscopic beetle inclusion studied with X-ray micro-computed tomography
Figure 4. X-ray micro-CT renderings of Acritus sutirca sp. nov., holotype, no. 5541 (MAIG): (a–d) aedeagus in dorsal, ventral view and lateral views; (e) antennae. Scale bar represents 0.1 mm.
Figure 3. X in The first extinct species of Acritus LeConte, 1853 (Histeridae: Abraeinae) from Eocene Baltic amber: a microscopic beetle inclusion studied with X-ray micro-computed tomography
Figure 3. X-ray micro-CT renderings of Acritus sutirca sp. nov., holotype, no. 5541 (MAIG), habitus: (a) frontal view; (b) caudal view. Scale bar represents 0.2 mm. Abbreviations: a1 – antennomere 1 (scape); ey – compound eye; py – pygidium; pp – propygidium.
Fig. IV in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. IV (1–4). Comparisons of antennal sensilla between Trogoderma species and sexual genders. 1. Male and female sensilla of T. granarium; 2. Male and female sensilla of T. variabile; 3. Male antenna of T. granarium and T. variabile; and 4. Female antenna of T. granarium and T. variabile.
Fig. II in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. II (1–9). Antennal sensilla of T. granarium. 1. SC1: sensilla chaetica 1 bar = 5.0 μm; 2. SC2: sensilla chaetica 2, bar = 15.0 μm; 3. SC3: sensilla chaetica 3, bar = 17.2 μm; 4. SB1: sensilla basiconica 1, bar = 2.0 μm; 5. SB2: sensilla basiconica 2, bar = 3.0 μm; 6. SB3: sensilla basiconica 3, bar = 3.0 μm; 7. SB4: sensilla basiconica 4, bar = 2.0 μm; 8. SB5: sensilla basiconica 5, bar = 2.5 μm; and 9. BB: Böhm bristles, bar = 2.3 μm.
Fig. I in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. I (1–4). Full views of antenna of T. granarium and T. variabile. 1. Antenna of female T. granarium; 2. Antenna of male T. granarium; 3. Antenna of female T. variabile;and 4. Antenna of male T. variabile.
Fig. III (1–9). Antennal sensilla of T. variabile. 1. SC1: sensilla chaetica 1, bar = 3.0 μm; 2. SC2: sensilla chaetica 2; SC3: sensilla chaetica 3, bar = 8.6 μm; 3. SC2: sensilla chaetica 2, bar = 15 μm; 4. SC3: sensilla chaetica 3, bar = 15.0 μm; 5. SB1: sensilla basiconica 1, bar = 3.0 μm; 6. SB2: sensilla basiconica 2, bar = 4.3 μm; 7. SB5: sensilla basiconica 5, bar = 4.3 μm; 8. SCo: sensilla coeloconica, bar = 1.5 μm; and 9. BB: Böhm bristle, bar = 6.0 μm. in Scanning electron microscope observations on the antennal sensilla of two stored grain pests Trogoderma granarium and Trogoderma variabile (Coleoptera: Dermestidae)
Fig. III (1–9). Antennal sensilla of T. variabile. 1. SC1: sensilla chaetica 1, bar = 3.0 μm; 2. SC2: sensilla chaetica 2; SC3: sensilla chaetica 3, bar = 8.6 μm; 3. SC2: sensilla chaetica 2, bar = 15 μm; 4. SC3: sensilla chaetica 3, bar = 15.0 μm; 5. SB1: sensilla basiconica 1, bar = 3.0 μm; 6. SB2: sensilla basiconica 2, bar = 4.3 μm; 7. SB5: sensilla basiconica 5, bar = 4.3 μm; 8. SCo: sensilla coeloconica, bar = 1.5 μm; and 9. BB: Böhm bristle, bar = 6.0 μm.
Identifying contaminants of coal inertinite in charcoal briquettes: Preliminary findings of microscopic analysis
<p>Submitted data was used to write an article: Jelonek, Z., Jelonek, I., Identifying coal-derived inertinite in charcoal briquettes: Preliminary findings of microscopic analysis – article sent for review to the International Journal of Coal Geology. </p> <p> </p> <p><strong>Funding acknowledgments:</strong> The project is co-financed by the Polish National Agency for Academic Exchange within the Polish Returns Programme (BPN/PPO/2021/1/00005/DEC/1), the National Science Center, Poland (2022/01/1/ST10/00024), and the research activities co-financed by the funds granted under the Research Excellence Initiative of the University of Silesia in Katowice, Poland. </p> <p> </p> <p><strong>Article Abstract</strong>: Despite the widespread popularity of charcoal-based grilling fuels, extensive studies have highlighted various pollutants linked to their production and combustion, posing potential risks to human health and the environment. Since the presence of impurities has been identified as a factor contributing to elevated emissions of harmful gases and particulate matter, a comprehensive quality assessment of grilling fuels is imperative to effectively manage and minimize potential risks to customer health and safety.</p> <p>While identifying many impurities in solid biomass fuels is possible through microscopic analysis, identifying fossil coal contaminants in charcoal briquettes can be challenging. The biggest difficulty arises when coal-derived inertinite and man-made charcoal need to be distinguished as both exhibit numerous visual similarities in microscopic images. Therefore, the goal of this study was to examine the optical morphology of inertinite and charcoal with the aim of differentiating them when they co-occur in charcoal briquettes.</p> <p>The results show that employing high differential interference (DIC) and fluorescence filters, coupled with reflected white light in microscopic analysis, can enhance the observations allowing for easier detection of impurities of inertinite in charcoal-based grilling fuels. Among the most notable distinctions are the high degree of cellular structure preservation and the presence of small pores and protrusions in man-made charcoal; these characteristics are typically absent in the inertinite fragments.</p>
Fig. 2 in Plasmodium (Novyella) nucleophilum from an Egyptian Goose in São Paulo Zoo, Brazil: microscopic confirmation and molecular characterization
Fig. 2. Bayesian phylogeny of cytochrome b gene lineages of species of avian haemosporidian parasites. A lineage recorded in the Egyptian Goose Alopochen aegyptiacus is provided underlined. Names of the lineages are given after the species names of parasites. GenBank accession numbers of the lineages are provided before the parasite species names. Nodal support values (in percentage) indicate posterior clade probabilities. Plasmodium species from Novyella subgenus are boxed.
Fig. 1 in Plasmodium (Novyella) nucleophilum from an Egyptian Goose in São Paulo Zoo, Brazil: microscopic confirmation and molecular characterization
Fig. 1. Photomicrographs of Plasmodium parasites visualized from thin blood smears obtained from an Egyptian Goose (Alopochen aegyptiacus) in São Paulo Zoo, Brazil. Characteristic of Plasmodium (Novyella) nucleophilum (lineage EG01, GenBank JX467689) the trophozoite (a), meronts (b–c), macrogametocytes (d, e), and microgametocyte (f) are appressed to erythrocyte nuclei (nucleophilic features). Plasmodium (Haemamoeba) sp. (g–i) lacks nucleophilic blood stages and possesses large roundish trophozoites, each with a prominent centrally located vacuole; pigment granules are gathered around the vacuoles. Note that early Plasmodium (H.) sp. trophozoites markedly displace erythrocyte nuclei (g). Arrows, pigment granules. Scale bar = 10 µm.
Fig. 5 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 5. Mean (± standard error) gonadosomatic index (GSI), hepatosomatic index (HSI), and relative condition (Kn) for blue jack mackerel (Trachurus picturatus) females off the western coast of Portugal by maturation phase and abnormal condition. I, immature; D, developing; SC, spawning capable; AS, actively spawning; RS, regressing; RN, regenerating; CS, reproductive inactive ovaries with cystic structures; MA, spawning capable individuals with massive atresia; K, Kudoa spp.-infected ovaries. Sample size for each group is given between brackets in the x-axis.
Fig. 4 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 4. Histological sections of ovaries of blue jack mackerel (Trachurus picturatus) with abnormalities: a) reproductive inactive ovaries with cystic structures with only PG and early SG oocytes (female with 38.1 cm TL, caught in the first half of January); b) reproductive inactive ovaries with massive cystic structures with only a few PG oocytes remaining (female with 26.2 cm TL, caught in the first half of March); c) spawning capable individuals with massive atresia (female with 25.8 cm TL, caught in second half of February); d) Kudoa spp.-infected ovary (female with 25.5 cm TL, caught on the first half of March); e) actively spawning (female with 31.1 cm TL, caught on the second half of March); f) regressing female with massive atresia (female with 27.3 cm TL, caught in April). *, Kudoa spp. infection; AVTG, advance vitellogenic oocytes; At, atresia; AtSt, atretic structures; CA, cortical alveoli oocytes; EVTG, early vitellogenic oocytes; H, hydrated oocytes; PG, primary growth oocytes.
Fig. 3 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 3. Mean (± standard error) gonadosomatic index (GSI), hepatosomatic index (HSI), and relative condition (Kn) for blue jack mackerel (Trachurus picturatus) females (black dots) and males (open triangles) off the western coast of Portugal by sampling date. Sea surface temperature (SST, grey shadow). 1st half, month first fortnight; 2nd half, month second fortnight.
Fig. 7 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 7. Relationships between batch fecundity and total length (TL) and eviscerated weight (EW) for blue jack mackerel (Trachurus picturatus) females caught off the western coast of Portugal.
Fig. 2 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 2. Maturity phase frequency by sampling date for blue jack mackerel (Trachurus picturatus) females and males caught off the western coast of Portugal. D, developing; SC, spawning capable; AS, actively spawning; RS, regressing; RN, regenerating. 1st half, month first fortnight; 2nd half, month second fortnight.
Fig. 6 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 6. Fecundity type of blue jack mackerel (Trachurus picturatus) off the western coast of Portugal, assessed from the variation throughout the spawning season of a) oocyte size frequency distribution; b) abundance of early developing oocytes (white) and advanced vitellogenic oocytes (grey); c) mean oocyte diameter (OD) of the advanced vitellogenic oocytes. Boxplot represents median, first and third quartiles, whiskers represent 1.5 × interquartile range and dots are possible outliers. 1st half, month first fortnight; 2nd half, month second fortnight.
Fig. 1 in Fig. 7 in Reproduction of the Blue Jack Mackerel, , in Western Portugal: Microscopic Gonad Analysis Reveals Indeterminate Fecundity and Skipped Spawning Patterns.
Fig. 1. Map of Portugal showing the continental slope: the surveys were conducted along the coast at 20–300 m deep (represented by the rectangle in the figure).
Millikelvin confocal microscope with free-space access and high-frequency electrical control
<p>Raw data and analysis scripts repository of the scientific paper "Millikelvin confocal microscope with free-space access and high-frequency<br>electrical control".</p>
Dataset of Axon Segmentation and Centerlines, Acquired using a Two-photon Microscope in the Live Mouse Cortex
<p>This dataset contains 20 images of real axons that were published previously in Bass et al (2017). This subset dataset has been added labels of binary images for segmentation of the axons, and of centerline for tracing of the axons.</p> <p>We provide the following:</p> <ul> <li>Images-MAX: 2D images of axons (.png)</li> <li>Images-TIFF: 3D images of axons (.tiff)</li> <li>Labels-binary: Manual segmentation of the axons as binary images (.png)</li> <li>Labels-tracing: Manual tracing of the axons (.swc)</li> </ul> <p>This data was collected in the live mouse cortex, using a two-photon microscope, with a 40x objective, at zoom 4, and with a resolution of 512 × 512 pixels, 0.147 <em>μ</em>m per pixel for the <em>x</em>, <em>y</em> planes, and 1 <em>μ</em>m for the <em>z</em> plane. . </p> <p><strong>Please cite the following papers when using this dataset:</strong></p> <p>T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, B. Billot, C. Bass, Z. Uslu, V. De Paola, C. Clopath, and A. A. Bharath. Deep reinforcement learning for subpixel neural tracking. <em>Medical Imaging with Deep Learning</em>. 2019.</p> <p>Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed. <em>PLoS ONE</em>. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309.</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.