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◂Fig. 1 Morphology of thecate and coccoid cells, with labelled thecal plates. a–c, i, m Light microscopy, d–h, k–l scanning electron microscopy. a Ventral view of strain GeoM*788; b dorsal view of strain GeoM*793; c apical view of strain GeoK*044; d ventral view of strain GeoK*037; e dorsal view of strain GeoM*788; f apical view of strain GeoK*024, with the dehiscence of epithecal opening indicated by a blue line; g antapical view of strain GeoK*044; h leftlateral view of strain GeoM*866; i motile cell of strain GeoK*037; k–m coccoid cells showing variability in shape and size of strains k GeoM*866, l GeoM*793 and m GeoK*024. Abbreviations: n′: apical plate, n′′: precingular plate, n′′′: postcingular plate, n′′′′: antapical plate, na: anterior intercalary plate, nC: cingular plate, Sa: anterior sulcal plate, Sd: right sulcal plate, Sp: posterior sulcal plate. Ss: left sulcal plate. Scale bar: 10 µm. UA: 15 kV in Morphological and molecular variability of Peridinium volzii Lemmerm. (Peridiniaceae, Dinophyceae) and its relevance for infraspecific taxonomy

◂Fig. 1 Morphology of thecate and coccoid cells, with labelled thecal plates. a–c, i, m Light microscopy, d–h, k–l scanning electron microscopy. a Ventral view of strain GeoM*788; b dorsal view of strain GeoM*793; c apical view of strain GeoK*044; d ventral view of strain GeoK*037; e dorsal view of strain GeoM*788; f apical view of strain GeoK*024, with the dehiscence of epithecal opening indicated by a blue line; g antapical view of strain GeoK*044; h leftlateral view of strain GeoM*866; i motile cell of strain GeoK*037; k–m coccoid cells showing variability in shape and size of strains k GeoM*866, l GeoM*793 and m GeoK*024. Abbreviations: n′: apical plate, n′′: precingular plate, n′′′: postcingular plate, n′′′′: antapical plate, na: anterior intercalary plate, nC: cingular plate, Sa: anterior sulcal plate, Sd: right sulcal plate, Sp: posterior sulcal plate. Ss: left sulcal plate. Scale bar: 10 µm. UA: 15 kV

opencc-by-4.0Oct 2021View details →
zenodo40/100

MAGE-A3-specific T-cells

<p>Single-cell RNA-seq data of MAGE-A3-specific T-cells genereated with the BD Rhapsody&trade; system.</p> <p>Donor information: 3 healthy subjects, 2 male (SampleTag01, SampleTag03), 1 female (SampleTag02).</p> <p>Cell preparation: MAGE-A3-specific T-cells were obtained via a Tetramer-based sorting of the naturally-occuring anti-CD3 and anti-CD28-activated T-cells co-cultured with the Dendritic cells that were maturated by a KVAELVHFL peptide.&nbsp;</p> <p>Single-cell analysis system: BD Rhapsody&trade;</p> <p>Library strategy: 5' mRNA sequencing</p> <p>Library preparation protocol: BD Rhapsody&trade; TCR/BCR Full Length, Targeted mRNA, and Sample Tag Library Preparation</p> <p>mRNA panel: BD Rhapsody&trade; Immune Response Panel HS</p> <p>BD Pipeline version: 1.12</p>

opencc-by-4.0Jul 2024View details →
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Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)

Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain

opencc-by-4.0Jul 2024View details →
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Fig. 4 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 4 TEM micrographs of the higher magnification showing exit regions of the Echinococcus multilocularis penetration glands. a Part of the oncosphere showing the exit of the type 2 penetration gland (PG2E). Note the liquefied aspect of their secretory granules (sg2L). b Part of the hexacanth near the exit of the type 1 penetration gland (PG1E). Note the liquefied aspect of their secretory granules (sg1L). c Enlarged detail of the liquefied secretory granules of the type 1 penetration gland (sg1L). HCh heterochromatin islands, HM hook musculature, HRM hook region membrane, N nucleus, OM oncospheral membrane, PG2A arm of the type 2 penetration gland, sg2 secretory granules of the type 2 penetration gland

opencc-by-4.0Jun 2018View details →
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Fig. 5 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 5 Oncospheral secretory regions of the hexacanth of Echinococcus multilocularis and comparison of three types of their secretory granules. a Somatophore area of hexacanth showing few secretory regions containing three types of secretory granules: sg1, sg2, and nsg granules. Two types of penetration glands, PG1 and PG2, show evidently different types of their secretory granules sg1 and sg2. b–d Higher magnification TEM micrographs showing ultrastructural details of three types secretory granules. sg1 (or sg2) represents secretory granules of the first (or second) type of penetration glands and nsg are neurosecretory granules of neurosecretory cells. H oncospheral hook, HCh heterochromatin islands, HM hook musculature, m mitochondria, N nucleus, n nucleolus, NCP nerve cell process, OM oncospheral membrane, RA "rouleau"-shaped assemblages of secretory granules, SC somatic cell

opencc-by-4.0Jun 2018View details →
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Fig. 3 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 3 Enlarged details of the secretory granules sg1 in the type 1 penetration gland of Echinococcus multilocularis oncosphere and the cytochemical test of Thiéry for ultrastructural evidence of glycogen. a High power TEM micrograph showing numerous "rouleau"-shaped assemblages (RA) of the secretory granules of the type 1 penetration gland (sg1). b Cytochemical test of Thiéry showing the presence of large number of beta-glycogen particles (β-gl) around the two types of penetration glands (PG1 and PG2); results obtained after freeze substitution technique. HCh heterochromatin islands, HM hook musculature, N nucleus, OM oncospheral membrane

opencc-by-4.0Jun 2018View details →
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Fig. 6 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 6 TEM micrographs of the anterior, somatophore region of the oncosphere of Echinococcus multilocularis. a Pole of the hexacanth showing a bilateral symmetry. Note the presence of the arms of the type 1 penetration gland (PG1A) between the median (MH) and lateral (LH) pairs of oncospheral hooks. b Detail of an oncosphere with the peripheral disposition of a nerve cell process containing neurosecretory granules (nsg). c Enlarged detail of neurosecretory granules (nsg). H oncospheral hook, HM hook musculature, HRM hook region membrane, m mitochondria, OM oncospheral membrane, PG1 type 1 penetration gland, SM somatic musculature

opencc-by-4.0Jun 2018View details →
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Fig. 1 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 1 Schematic diagram illustrating localization of three secretory regions of the egg of Echinococcus multilocularis: two types of the penetration glands (PG1 and PG2) and two nerve cells (NC) of neurosecretory type. Note the oncospheral tegument composed of its peripheral anucleated layer and submerged subepithelial perikaryon and the hook region membrane surrounding the somatophore pole of the hexacanth. To simplify the diagram, some other oncospheral structures or cell types such as somatic and hook muscle systems with their

opencc-by-4.0Jun 2018View details →
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Fig. 2 in Echinococcus multilocularis (Cestoda, Cyclophyllidea, Taeniidae): functional ultrastructure of the penetration glands and nerve cells within the oncosphere

Fig. 2 Details of two infective hexacanths of Echinococcus multilocularis obtained by means of freeze substitution technique. a TEM micrograph showing the two penetration glands (PG1 and PG2) and a nerve cell (NC). Note: (i) the nucleus (N) of a nerve cell with heterochromatin islands (HCh), (ii) the presence of numerous mitochondria (m) and (iii) the neurosecretory granules (nsg) located in a nerve cell process. b Area of hexacanth with two penetration glands (PG1 and PG2). Note the "rouleau"-shaped assemblages (RA) of secretory granules of the type 1 penetration gland (sg1). H oncospheral hook, HM hook musculature, n nucleolus, OM oncospheral membrane, r ribosomes, sg2 secretory granules of the type 2 penetration gland

opencc-by-4.0Jun 2018View details →
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Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis

<p>Data supporting results published by Ricci et al. Pyruvate transamination and NAD biosynthesis enable proliferation of succinate dehydrogenase-deficient cells by supporting aerobic glycolysis. Cell Death and Disease (2023) 14:403 (https://doi.org/10.1038/s41419-023-05927-5).</p>

opencc-by-4.0Jul 2024View details →
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IMMUcan panel 1 cell type classification

<p>This repo contains Imaging Mass Cytometry data from 179 cancer patients collected during the IHI2 funded IMMUcan project.</p> <p>&nbsp;</p> <p>Background:</p> <p>IMMUcan (https://immucan.eu/) collects samples from cancer patients for multimodal analysis. Amongst those Imaging Mass Cytometry (IMC). Samples collection occurs over 6 years. For reproducible cell typing over time, a cell phenotype classifier was built from manually annotated data. The classifier was trained on a first batch of annotated images (V1) and then trained again with a second round of annotated images (V3). A final classifier was build which is used within IMMUcan to classify cell phenotypes for IMC panel 1 for all cancer patients.</p> <p>&nbsp;</p> <p>The dataset contains:</p> <ul> <li>sce_labelled_V1.rds_ is the `SingleCellExperiment` object containing all labelled cells from the first batch of labelling</li> <li>sce_labelled_V3.rds_ is the `SingleCellExperiment` object containing all labelled cells from the second batch of labelling</li> <li>rf_images_DCfix.rds_ is the RF model which can be used for cell type predictions</li> <li>sce_raw.rds_ is the `SingleCellExperiment` object containing all cells from the 179 images. the trained classifier has been applied to this dataset which can be used to view the classification results of cell phenotypes on images using the bioconductor packages cytomapper or cytoviewer.&nbsp;</li> <li>all_images.rds a `CytoImageList` object which contains all the images from all images</li> <li>all_masks.rds a `CytoImageList` object which contains all single-cell segmentation masks from all images</li> <li>a zip archive `images_masks` containing the tiff images and masks from all 179 images, a CytoImageList Object for images (all_images.rds) and a CytoListImage object for all masks (all_masks.rds)</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
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Individual allotype responses to HEK-293T-based cell lines ex-pressing single MHC class I chain-related gene B alleles

<p><span>Figure S1.</span><span> Individual allotype responses between 64 sera collected from kidney transplant patients and 5 single </span><span>MICB</span><span> allele-expressing cell lines established in </span><span>HLA</span><span> class I, </span><span>MICA,</span><span> and </span><span>MICB</span><span>-null HEK-293T cells. </span><span>HLA</span><span> class I, </span><span>MICA,</span><span> and </span><span>MICB</span><span> genes were removed using CRISPR/Cas9 in previous studies [20, 21]. Some of the 64 sera showed responses to single </span><span>MICA</span><span> allele-expressing cell lines [21]. However, none of the 64 sera showed individual allotype responses in this study.</span></p>

opencc-by-4.0Jul 2024View details →
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Fig. 4 in Genome size of chrysophytes varies with cell size and nutritional mode

Fig. 4 Comparison of genome size within different taxonomic groups. Mixotrophic (blue) and heterotrophic (dark red) chrysophytes rank among the smallest eukaryotic genomes (values obtained from [1] Mohanta and Bae 2015; Egertová and Sochor 2017; [2] Gregory 2017; [3] Bennett 2012; [4] Courties et al. 1994)

opencc-by-4.0May 2018View details →
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Fig. 1 in Genome size of chrysophytes varies with cell size and nutritional mode

Fig. 1 Cell volumes [μm 3] of different chrysophytes. Different colors represent the different nutritional modes present. Phototrophic chrysophytes (light green) do have highest cell volumes compared to

opencc-by-4.0May 2018View details →
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Fig. 2 in Genome size of chrysophytes varies with cell size and nutritional mode

Fig. 2 Genome size [pg] of investigated chrysophytes. Different colors represent the different nutritional modes present. Heterotrophic chrysophytes (dark red) tend to have smaller genome sizes, compared to phototrophic chrysophytes (light green), while mixotrophic chrysophytes (blue) show intermediate genome sizes. *Dinobryon sociale var. americana cf. div. schauinslandii; HF = Heterotrophic flagellate

opencc-by-4.0May 2018View details →
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Dataset to: Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles

<p>This is the dataset to the published article "Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles" (DOI: 10.1016/j.ijhydene.2023.08.292) in which the degradation of two commercial PEM fuel cell stacks was analyzed.&nbsp;<strong>Please cite this publication if you use the dataset in a publication as follows</strong>:</p> <p>P. Thiele, Y. Yang, S. Dirkes, M. Wick, S. Pischinger, Realistic accelerated stress tests for PEM fuel cells: Test procedure development based on standardized automotive driving cycles, Int. J. Hydrogen Energy 52 (Part D) (2024) 1065&ndash;1080, https://doi.org/10.1016/j.ijhydene.2023.08.292.</p>

opencc-by-4.0Aug 2024View details →
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Fig. 5 in Genome size of chrysophytes varies with cell size and nutritional mode

Fig. 5 Model of evolution of genome size, cell volume, and nutritional mode of chrysophytes: nutrient limitations may have driven genome size reduction in the ancestors of mixotrophic (and heterotrophic) chrysophytes, as well as the evolution of phagotrophic mechanisms to attain additional nutrients. Cell size reduction is supposedly a more gradual process, coming into play in taxa which were already able to obtain nutrients by phagotrophy, which optimized food uptake by the optimization of the predator-prey size ratio. This may have triggered the evolution of obligate heterotrophs in many chrysophyte lineages independently

opencc-by-4.0May 2018View details →
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A FRET based biosensor for measuring Gα13 activation in single cells

<p>The figures and raw data that are presented in the paper &quot;A FRET based biosensor for measuring G&alpha;13 activation in single cells&quot;</p>

opencc-by-4.0Jan 2018View details →
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Vaccination B cell dataset antibodies (DDW lab)

<p>The present vaccination dataset, obtained by the group of Deborah Dunn-Walters in 2012 (&quot;vaccination&quot;) contains B cell repertoire data of six young (aged 19-45) and six elderly (aged 70-89) healthy volunteers. Three samples per donor have been taken: The first prior to vaccination (with Influvac and Pneumovax II) called &quot;Day 0&quot;, the next seven days later (&quot;Day 7&quot;) and the last one 28 days after vaccination (&quot;Day 28&quot;). This allows for a time-resolved monitoring of the immune response for the two different age groups. In total, the data set (as downloaded) contains 45784 observations.</p>

opencc-by-4.0Jan 2018View details →
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NEUBIAS TS7 - data used in the workflow deconstruction session on quantifying monolayer cell migration

<p>Training&nbsp;session details (including slides):&nbsp;https://github.com/miura/NEUBIAS_AnalystSchool2018/tree/master/Assaf</p> <p>Matlab source code:&nbsp;https://github.com/assafzar/MonolayerKymographs</p>

opencc-by-sa-4.0Feb 2018View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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