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135 results for “Microalgae”
Transmittance hyperspectral images of microalgae on well plates
<p>Images are stored in folders whose name indicate the imaging date as yyyy_mm_dd. These folders contain folders with an ID given by the imager (SpecimIQ, Specim, Finland). Inside these are the white and dark references and raw radiance images (folder: capture), transmittance images (REFLECTANCE, in file names, but transmittance in practice due to the imaging in transmission light) calculated by the SpecimIQ (folder: results) and information about the images (metadata.txt). Each rolling ID-folder contain also an RGB image of the target in png format.</p>
Supplementary data to "What are the effects of temperature on plasticity, shape symmetry and seasonal variation in freshwater benthic green microalga Micrasterias thomasiana?"
<p>The supplementary data consist of the files including the landmark coordinates of Micrasterias thomasiana semicells used for the analyses described in the manuscript submitted to Aquatic Ecology. The coordinates are presented in the TPS format.</p> <p> </p>
Plasticity across levels: relating epigenomic, transcriptomic, and phenotypic responses to osmotic stress in a halotolerant microalga
Open the record for dataset details and reuse information.
A high-throughput assay for quantifying phenotypic traits of microalgae
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Experimental data for "The interaction between plastics and microalgae affects community assembly and nutrient availability"
<p>Dataset of the experimental data obtained for the study “The interaction between microplastics and microalgae affects community assembling and nutrient availability” (published on Communications Earth and Environment, DOI: 10.1038/s43247-024-01706-y). This include 5 different tabular files, which are listed below:</p> <p><strong>Algae growth</strong> Values of chlorophyll fluorescence (as a proxy of algal biomass growth, in arbitrary units) in all treatments between days 1 and 17 of the experiment in the 4 different replicates (shown as different columns).</p> <p><strong>Biofilm growth on plastic</strong> Measures of biofilm coverage (in % of plastic fragment's surface) via image analysis after optical microscopy and chlorophyll fluorescence via spectroscopy (after the analysis of 3 replicates per batch, relative standard deviation below 20%). Data at day 0 indicate the fragments before the incubation with the pelagic community. Data are shown for each treatment containing plastic (i.e., <em>plastic</em>, <em>biofilm</em> and <em>dispersal</em>).</p> <p><strong>Nutrient concentrations</strong> Nutrient concentration in every replicate at different days from the beginning of the experiment. Data are average values after three measure replicates (relative standard deviation below 5%). Data below LODs are shown as LOD/2.</p> <p><strong>Pelagic community composition </strong>Counting values of the different algal species from optical microscopy measurement of all treatments after 5, 8 and 15 days (average values after 3 replicates of measures (relative standard deviation below 25%). The inoculum of the pelagic community before the beginning of the experiment is also included. Species not present in the community or not detected are shown as ND.</p> <p><strong>Photosynthetic efficiency </strong>Values of photosynthetic efficiency (measured with pulse-amplitude-modulated fluorescence) in all treatments at day 5, 8 and 15 of the experiment in the 4 different replicates (shown as different columns).</p>
Fig. 3 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 3 Correlation between the samples positions obtained on the first axes of the PCA based on microscopy and HTS diatom composition of the samples. There is a highly significant correlation (p <0.001, R 2 = 31%) between both axes
Fig. 4 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 4 Comparison of the diatom assemblages heterogeneity inside each lake, obtained with HTS and microscopy. Inside lake assemblage heterogeneity is the sum of the Bray-Curtis distances between the three samples of a lake. Correlation is significant (Pearson correlation p <0.001) and follows a linear model (p <0.001, R 2 = 50.8%) (see black line)
Fig. 6 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 6 Correlations of diversity indices obtained with microscopy and HTS. All correlations are significant and follow linear models (see Table 1)
Fig. 2 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 2 Correlation between both distance matrices (Bray-Curtis distances) calculated between diatom compositions of samples obtained with microscopy and HTS
Fig. 5 in Do we similarly assess diversity with microscopy and high-throughput sequencing? Case of microalgae in lakes
Fig. 5 Comparison of diversity indices obtained with microscopy and HTS. Classes boundaries for α diversity: c1 <0.675 ≤ c2 <1.100 ≤ c3 <1.525 ≤ c4 <1.950 ≤ c5 <2.375 ≤ c6 <2.800 ≤ c7 <3.225 ≤ c8 <3.650 ≤ c9 <4.075 ≤ c10. For β diversity: c1 <0.7 ≤ c2 <0.8 ≤ c3 <0.9 ≤ c4 <1.0 ≤ c5 <1.1 ≤ c6 <1.2 ≤ c7 <1.3 ≤ c8 <1.4 ≤ c9 <1.5 ≤ c10. For ϒ diversity: c1 <1.04 ≤ c2 <1.48 ≤ c3 <1.92 ≤ c4 <2.36 ≤ c5 <2.80 ≤ c6 <3.24 ≤ c7 <3.68 ≤ c8 <4.12 ≤ c9 <4.56 ≤ c10
FIGURE 4 in Ataktogamous green microalgae of the genus Chlorosarcinopsis Herndon (Chlorophyceae, Chlorophyta) from Zabaikalskiy region (Russia)
FIGURE 4. Transmission electron micrographs of vegetative cells Chlorosarcinopsis sp. IRK–A 64. 1. One-layered cell wall, chloroplast lobes and a parietal dividing nucleus. Golgi body is marked by asterisk. 2. Cell fragment with double-layered cell wall and dark bodies (white arrows) under plasmalemma. 3. Vegetative cell with a distinct pyrenoid body covered by massive starch envelope. Small black arrows indicate the mitochondria, as in fig. 4. 4. Chloroplast thylakoids entering pyrenoid body. Plastoglobules showed by white arrowheads, as in fig. 6. 5. Cell with a number of dark (probably oil) bodies (white arrows). 6. The cell part fragment at the level of pyrenoid tip. Abbreviations: CL—chloroplast lobe; CW—cell wall; ER—endoplasmic reticulum; Nu—nucleus; Py—pyrenoid; St—starch; StE— starch envelope; T—thylakoid band; V—vacuole. Scale bars figs 1, 3, 5 = 1μm; fig 2 = 200 nm; figs 4, 6 = 500 nm.
FIGURE 3 in Ataktogamous green microalgae of the genus Chlorosarcinopsis Herndon (Chlorophyceae, Chlorophyta) from Zabaikalskiy region (Russia)
FIGURE 3. Reproduction of Chlorosarcinopsis sp. IRK–A 64 and morphology of the motile reproductive cells. A. Zoosporangia. B. Liberation of zoospores from zoosporangia. C, D. Zoospores. E. Gametangia. F. Gametes at the beginning of the apical isogamy. G. Zygote and planozygote, produced by basal plasmogamy, and gametes in beginning of copulation. H. Planozygotes, produced by isogamy and anisogamy. I, J. Planozygote, produced by copulation of two (I) and three gametes (J). K. Planozygote with a highly elongated basal end. L. Rounded motile reproductive cells. Scale bars = 10 μm.
FIGURE 2 in Ataktogamous green microalgae of the genus Chlorosarcinopsis Herndon (Chlorophyceae, Chlorophyta) from Zabaikalskiy region (Russia)
FIGURE 2. Morphology of old cell packages and unicells Chlorosarcinopsis sp. IRK–A 64. A–C. Vegetative cells in cell packages with spongiomorph chloroplast. D–F. The cell wall of old cells in cell packages. G. Unipolar thickening of the cell wall. H, I. The akinete-like cells with sculptured cell wall. Scale bars = 10 μm.
FIGURE 1. A–F in Ataktogamous green microalgae of the genus Chlorosarcinopsis Herndon (Chlorophyceae, Chlorophyta) from Zabaikalskiy region (Russia)
FIGURE 1. A–F. Morphology of Chlorosarcinopsis sp. IRK–A 64 in cultures of different ages in 3N BBM (1.2–1.5% agar). A–D. Cell packages and unicells focused on the pyrenoid structure, the shape of chloroplast and on the shape of the cells. E. Cells in the cell packages with highly dissected chloroplast and motile reproductive cells. F. Old cell packages. Scale bars in A–E = 10 μm, in F = 100 μm.
Data from: Direct effects of microalgae and protists on herring (Clupea harengus) yolk sac larvae
This study investigated effects of microalgae (Rhodomonas baltica) and heterotrophic protists (Oxyrrhis marina) on the daily growth, activity, condition and feeding success of Atlantic herring (Clupea harengus) larvae from hatch, through the end of the endogenous (yolk sac) period. Yolk sac larvae were reared in the presence and absence of microplankton and, each day, groups of larvae were provided access to copepods. Larvae reared with microalgae and protists exhibited precocious (2 days earlier) and ≥ 60% increased feeding incidence on copepods compared to larvae reared in only seawater (SW). In the absence and presence of microalgae and protists, survival and growth trajectories of yolk sac larvae were similar and digestive enzyme activity (trypsin) and nutritional condition (RNA-DNA ratio) markedly declined in all larvae directly after yolk sac depletion. Thus, microplankton promoted early feeding but was not sufficient to alter survival and growth during the yolk sac phase. Given the importance of early feeding, field programs should place greater emphasis on the protozooplankton-ichthyoplankton link to better understand match-mismatch dynamics and bottom-up drivers of year class success in marine fish.
Supplementary data to "Small-scale variation prevails in the cell shape patterning of green microalgae belonging to the genus Micrasterias (Zygnematophyceae, Viridiplantae)"
<p>The supplementary data consist of 24 TPS files including the landmark coordinates of 12 Micrasterias datasets (two separate digitisations for each dataset). In addition, the R script used for the analyses described in the paper submitted to "Evolutionary Biology" and the utility file with factors for Procrustes ANOVA are also included.</p> <p> </p>
A PETase enzyme synthesised in the chloroplast of the microalga Chlamydomonas reinhardtii is active against PET and polystyrene
<p>The list contains:</p> <p>1) raw data for chromatographies: HiprepSPHP and SEC</p> <p>2) raw data for UV-vis Spectrum</p> <p>3) raw data for all MS/MS spectra manuscript + supplementary</p> <p>4) raw data for AFM </p> <p>5) report data from HPLC</p>
Fig. 4 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 4. DEG functional enrichment during different growth stages. Pathway functional enrichment of differential expressed genes (DEGs) by using Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Pathways are at the yaxis plot, while rich factor values are at the x-axis. Size of the dots reflect gene number; small dot means 500 genes, big dot means 1000 genes. Darker the color of the dot means the highest the significant value of enrichment (Q-value). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 6. Summary differential expressed genes (DEGs) in photosynthesis – antenna proteins pathway (second most enriched pathway) using Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation analysis. The genes at early stationary growth phase were normalized against genes at early exponential growth phase. Green color means down-regulated DEGs; red color means up-regulated DEGs; black color means no DEGs. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Transcriptome-wide study in the green microalga Messastrum gracile SE-MC4 identifies prominent roles of photosynthetic integral membrane protein genes during exponential growth stage
Fig. 1. Functional annotation of unigenes. Ratio of different species maps on transcripts annotation analysis based on non-redundant (NR) protein databases. Blue color means Monoraphidium neglectum; green color means other species; orange means Porphyra umbilicalis; grey color means Aureococcus anophagefferens; yellow color means Guillardia theta CCMP2712; purple color means Chlamydomonas reinhardtii. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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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.
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.