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Figure 2 in Global diversity and geography of planktonic marine fungi
Figure 2: Shotgun sequencing data sourced from MG-RAST and manually binned into various oceanographic regions of the world. (Top) Relative abundances (using annotation e-value of 10−8) of fungal genera. Numbers across the top of histogram bars denote the number of datasets used in the analysis. Numbers at top of histogram do not match the total number of databases analyzed, as many samples had no fungal sequences remaining after subsampling. GOM is Gulf of Mexico. (Bottom left) Rarefaction curves showing the number of fungal genera detected as a function of the number of fungal sequences analyzed before database normalization. (Bottom right) Genera-based non-metric multidimensional scaling (NMDS) spatial analysis with indicator taxa displayed, illustrating overlapping, similar fungal communities.
Figure 4 in Global diversity and geography of planktonic marine fungi
Figure 4: Shotgun sequencing data analyzed from metagenomic rapid annotations using subsystems technology (MG-RAST) of deposited datasets plotting richness and diversity as a function of latitude. Red colors depict open ocean samples. Black colors depict coastal samples.
Figure 3 in Global diversity and geography of planktonic marine fungi
Figure 3: 18S rRNA amplicon sequencing of global high-throughput sequencing datasets. Number at top of histogram indicates the number of samples used in this analysis. Numbers at top of histogram do not match the total number of databases analyzed, as many samples had no fungal sequences remaining after subsampling. (Top) Histogram of lowestlevel classification of marine fungal taxa using SILVA-classified datasets from various regions of the world. (Bottom left) Non-metric multidimensional scaling (NMDS) spatial analysis of normalized sequencing datasets displaying color-coded sites with embedded colors representing sites from deeper (>35 m) and shallower depths. (Bottom right) Rarefaction curves showing the number of fungal genera detected as a function of the number of fungal sequences analyzed before database normalization.
Figure 1 in Global diversity and geography of planktonic marine fungi
Figure 1: Global map displaying high-throughput sequencing data sampling sites in red that were used in this review for analysis. Some points represent multiple datasets.
Fig 2 in Monitoring and assessing the physico-chemical water properties and planktonic communities in tilapia nursing pond
Fig 2: Percentages of different phytoplankton communities during the study period (a, b c, are indicating the size category as small, medium and large)
Fig 1 in Monitoring and assessing the physico-chemical water properties and planktonic communities in tilapia nursing pond
Fig 1: Percentages of total phytoplankton and total zooplankton in all size categorized pond during the sampling period
Figure 6 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 6. Box plots of vertical distribution of two spionid larvae: a, Pseudopolydora achaeta and b, Prionospio spp. The central line in the box represents the median, the upper and lower boundaries of the box represent the quartiles, and the vertical bar represents the 95% range of larval distribution (left axes). The dashed wavy lines and dark shaded areas represent the tidal level (right axes) and night-time, respectively.
Figure 5 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 5. Diel changes in vertical distribution of planktonic spionid larvae at St. 1 in Onagawa Bay from 8:00 a.m. on 20 August to 5:00 a.m. on 21 August 2012.
Figure 4 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 4. Diel changes in vertical distribution of planktonic polychaete (upper axes) and chlorophyll fluorescence (ppb) (lower axes) larvae at St. 1 in Onagawa Bay from 8:00 a.m. on 20 August to 5:00 a.m. on 21 August, 2012.
Figure 3 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 3. Vertical distribution of each species or genus of planktonic spionid larvae at St. 1 in Onagawa Bay from January to December 2012.
Figure 2 in Vertical distribution and migration of planktonic polychaete larvae in Onagawa Bay, north-eastern Japan
Figure 2. Vertical distribution of each family of planktonic polychaete larvae (upper axes) and chlorophyll a concentration (µg L−1) (lower axes) at St. 1 in Onagawa Bay from January to December 2012.
Fig. 8. A – 18S in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 8. A – 18S rDNA maximum likelihood phylogeny of Angulamoeba. Sequences new for this study are indicated in bold. ML bootstrap values respectively posterior probabilities are shown at the nodes. GenBank accession numbers are given together with the species names. B – LM pictures of Angulamoeba microcystivorans (strains A1WVB (1, 2, 4) and A4WVB (3)) showing the characteristic rusty-colored plasmodium-like mucilage matrix with embedded trophozoites devouring a culture of Microcystis aeruginosa colonies (1–2), multi-vacuolated trophozoites that are seemingly connected by their filopodia (3) and amoeba-flagellates in different stages of transition (4). Scale bars: 200 µm (1), 100 µm (2), 20 µm (3, 4).
Fig. 6. A – 18S in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 6. A – 18S rDNA maximum likelihood phylogeny of Vexillifera, including the Microcystis-associated strain (in bold). ML bootstrap values respectively posterior probabilities are shown at the nodes. GenBank accession numbers are given together with the species names. B – LM pictures of locomotive (1–7, 12–13) and floating (8–11) amoebae. Microcystis cells inside food vacuoles are visible in (1–2) and (13). The arrow in (5) points to a temporal, uroid-like structure sometimes visible during locomotion. Scale bars: 20 µm.
Fig. 4. A – 18S in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 4. A – 18S rDNA maximum likelihood phylogeny of the family Hartmannellidae, including Microcystis-associated strains of Copromyxa (in bold). ML bootstrap values respectively posterior probabilities are shown at the nodes. GenBank accession numbers are given together with the species names. B – LM pictures of C. microcystidis showing locomotive trophozoites (1–7, 10) containing a pronounced hyaline cap (white arrowheads), a vesicular nucleus with globular nucleolus (white arrows), big crystals (black arrows) and Microcystis cells inside food vacuoles (black arrowheads), non-oriented moving trophozoites (8–9, 11), a grazing amoeba capturing a Microcystis cell (12–14), the floating form (15) and a double-walled cyst stage (16). C – LM pictures of C. vandevyveri showing locomotive trophozoites (1, 6–9), trophozoites during non-oriented movement (2–5, 10–12) and floating forms (13–15). Black arrows indicate the presence of small, refractive crystals in the cytoplasm, the white arrow shows the vesicular nucleus with a globular lacuna-containing nucleolus, white arrowheads indicate a pronounced hyaline cap. Ingested Microcystis cells are visible in (9) and (11). Scale bars: 20 µm.
Fig. 3 in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 3. TEM pictures of the scales on the cell surface of Korotnevella jeppesenii (a, c) and K. pelagolacustris (b, d) trophozoites viewed from top (a, b) and side (c, d). Scale bars: 500 nm.
Fig. 2. A – 18S in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 2. A – 18S rDNA maximum likelihood phylogeny of Korotnevella, including Microcystis-associated strains (in bold). ML bootstrap values respectively posterior probabilities are shown at the nodes. GenBank accession numbers are given together with the species names. B – LM pictures of K. jeppesenii (strain A1JEPDK) showing trophozoites in non-oriented movement (1–5), during locomotion (6, 8) and during grazing on Microcystis aeruginosa cells (7) with the arrow indicating a lacuna-containing nucleolus. C – LM pictures of K. pelagolacustris (strains A8WVB (7, 12), A16WVB (6, 8, 11), A21WVB (1, 13), A54WVB (3–5) and A1LMS (2, 9, 10)) showing trophozoites in different stages of non-oriented movement (1–4, 6), the locomotive form (8–12), grazing amoebae with Microcystis cells inside food vacuoles (5, 10), the cyst stage (7) and the floating form (13). Arrows indicate the nucleus with clearly visible nucleolus (in 8, 10, 12). Scale bars: 20 µm.
Fig. 5 in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 5. LM pictures of Schoutedamoeba minuta showing trophozoites in non-oriented movement (a–f) and the limax-shaped locomotive form (g–i). The presence of a pronounced hyaline cap, small adhesive uroidal filaments and tiny granules in the cytoplasm are indicated with white arrowheads, black arrows and a white arrow respectively. Scale bars: 20 µm.
Fig. 7. A – 18S in A Hotspot of Amoebae Diversity: 8 New Naked Amoebae Associated with the Planktonic Bloom-forming Cyanobacterium Microcystis
Fig. 7. A – 18S rDNA maximum likelihood phylogeny of Cochliopodium, including the Microcystis-associated strain (in bold). ML bootstrap values respectively posterior probabilities are shown at the nodes. GenBank accession numbers are given together with the species names. B – LM pictures of locomotive amoebae clearly showing the surrounding hyaline sheet (black arrows) punctuated with microscales (best visible in 8), a few small subpseudopodia (black arrowheads) and trailing adhesive uroidal filaments (white arrows) (1–5), a trophozoite during and just after grazing on Microcystis cells showing a prominent fringe of folded hyaloplasm (white arrowheads) (6–9), the bell-shaped form on colonies of Microcystis aeruginosa (10–11) and floating amoebae (12–13). Scale bars: 20 µm.
Fig. 7 Planktonic crinoids. a-w in Upper Jurassic To Lowermost Cretaceous Microfossils From The Hăghimaş Mountains (Eastern Carpathians, Romania)
Fig. 7 Planktonic crinoids. a-w Saccocoma sp. Different sections of secondibrachials. a, v – thin section FO2-B1C(2); b, u – thin section FO2-A1(2); c – thin section FO2-B10; d, i – thin section FO2-B9; e, k – thin section FO1-D; f, l, m, p, q, t, w – thin section FO1-F2(2); g, r – thin section FO1-F2; h, s – thin section FO2-B6(2); j – thin section FO1-G2.
Fig. 3 in Molecular Phylogeny of the Marine Planktonic Dinoflagellate Oxytoxum and Corythodinium (Peridiniales, Dinophyceae)
Fig. 3. Maximum Likelihood (ML) phylogenetic tree of Oxytoxum scolopax and Corythodinium spp. with other dinoflagellates inferred from SSU rDNA sequences based on 1,654 aligned positions. The species newly sequenced in this study are highlighted in bold. The numbers at each node represent bootstrap support (only values above 50% are indicated). The scale bar represents inferred evolutionary distance in substitutions/site.
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.