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348 results for “seagrass”
Fig. 4 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 4: A-C. TEM micrographs of young epidermal cells of C. nodosa after one week transfer at S2 area. A. Epidermal cell with undifferentiated chloroplasts and increased number of mitochondria. B. Higher magnification of a chloroplast with a few developing grana. C. Higher magnification of a mitochondrion with very few cristae. Scale bars = 0.5 μm (A, B, C).
Fig. 7 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 7: A-D. TEM micrographs of young epidermal cells of P. oceanica after three weeks transfer at S1 area. A. Part of an epidermal cell of P. oceanica with warped cell walls, distorted cytoplasm, and a large nucleus with condensed chromatin masses. B. Chloroplast with remnants of disorganized cisternae and round plastoglobuli. C. Chloroplasts with large starch grains surrounded by a system of electron-dense elongated and/or round plastoglobuli. Mitochondria with a few broken dilated cristae are visible. D. Fragmented ER membranes arranged along the cell periphery. Scale bars = 1 μm (A), 0.5μm (B, C) and 0.2μm (D).
Fig. 5 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 5: Temporal evolution of the coverage percentage of the epiphytic assemblages (June, August, and October) at the studied stations.
Fig. 6 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 6: Non-metric multidimensional scaling (nMDS) plot of the epiphytic assemblages: a) June (stress = 0.16); b) August (stress = 0.15); c) October (stress = 0.12); d) three months plotted together (stress = 0.25) to highlight the evolution of the community over time. Circles indicate N3, empty triangles indicate Vu3; inverse filled triangles indicate Vu6; quadrats identify the control (NC). Colors indicate sampling month: black = June; dark gray = August; and light gray = October.
Fig. 1 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 1: Map of the study area (Ischia, Italy) showing the locations of stations (N3, Vu3, Vu6, and the control). The table reports on the right corner which of the vent systems the station belongs to, the station's identification code (ID), the depth, and the mean ± SD of pH measured.
Fig. 3 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 3: Percentage of leaves showing different types of leaf apex erosion (intact, mechanical, and biological) over time at the studied stations. At least 30 of the oldest leaves were examined at each month and station.
Fig. 4 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 4: Percentage of different types of biological apex erosion (Sarpa salpa, sea urchins, and crustaceans) during time at the studied stations and considering only the leaves showing biological erosion.
Fig. 2 in Effects of ocean acidification on phenology and epiphytes of the seagrass Posidonia oceanica at two CO vent systems of Ischia (Italy) Abstract
Fig. 2: Temporal variation in Posidonia oceanica morphological features at the studied stations: mean shoot density (a), mean number of leaves per shoot (b), and mean leaf length (c) and width (d). Bars represent the standard deviation. Gray colors indicate low pH conditions: N3 (pH 7.21 ± 0.34), Vu3, and Vu6 (pH 7.26 ± 0.48); and white indicates the control station (NC; pH 8.00 ± 0.08). Asterisks highlight features that show significant differences according to pH conditions.
data for the PCI publication "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations"
<p><strong>Data analyzed int he article "New insights into the population genetics of partially clonal organisms: when seagrass data meet theoretical expectations", doi </strong> <a href="https://arxiv.org/abs/1902.10240v5">https://arxiv.org/abs/1902.10240v5</a> <strong> doi of the PCI recommandation: </strong>https://doi.org/10.24072/pci.evolbiol.100083</p>
Figure 1 in First record of the near threatened native seahorse Hippocampus reidi (Teleostei: Syngnathidae) in an ecosystem dominated by the invasive seagrass Halophila stipulacea in the Caribbean Sea
Figure 1. – Specimen of Hippocampus reidi Ginsburg, 1933, photographed in a dense Halophila stipulacea seagrass bed on the west coast of Martinique Island, on 9th June 2017.
Figure 3 in Reassessment of Seagrass Species in the Marshall Islands
Figure 3. Herbarium specimen of Cymodocea rotundata Ehrenberg and Hemprich ex Ascherson with fruits (arrow) from Majuro Islet, Majuro Atoll, Marshall Islands, BISH 753217. Scale = 2 cm. Photo by Nicholas Walvoord, Natural Sciences, Bishop Museum.
Figure 1 in Reassessment of Seagrass Species in the Marshall Islands
Figure 1. Herbarium specimens of Halophila gaudichaudii J. Kuo from Illeginni Islet, Kwajalein Atoll, Marshall Islands, BISH 766518. Scale = 2 cm. Photo by Nicholas Walvoord and Barbara H. Kennedy, Natural Sciences, Bishop Museum.
Fig. 4 in Influence Of Environmental Cycles Upon A Seagrass Caridean Shrimp Assemblage
Fig. 4. Two-dimensional nMDS scaling configuration. Plotted on the figure are 70% Bray-Curtis similarity clusters calculated using PRIMER
Fig. 2 in Influence Of Environmental Cycles Upon A Seagrass Caridean Shrimp Assemblage
Fig. 2. Mean (+S.E.) shrimp assemblage characteristics at the different sampling times during the lunar, tidal and diel cycle.
The morphometric acclimation to depth explains the long-term resilience of the seagrass Cymodocea nodosa in a shallow tidal lagoon
<p>Original Data set for the article "The morphometric acclimation to depth explains the long-term resilience of the seagrass <em>Cymodocea nodosa</em> in a shallow tidal lagoon" available in the Journal of Environmental Management (JEMA).</p> <p>The sampling site is located in inner water body of Cadiz Bay (SW, Spain) ((36° 23’ - 36° 37’N and 6° 8’ - 6° 15’W).</p>
Fig. 2 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 2. Mean (± S.D.) δ13C and δ15N values of consumers (fishes, crustaceans and mollusks) and primary producers in Polo Stream and San Pedrito Lagoon. Species identities are in Table 1.
Fig. 1 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 1. Map depicting the location and extent of Centla Wetland Biosphere Reserve (CWBR) in Southern Mexico. The detailed study area map illustrates locations of field collections at Polo Stream and San Pedrito Lagoon along the Grijalva and Usumacinta Rivers in Tabasco, Mexico.
Sponge presence increases the diversity and abundance of fish and invertebrates in a subtropical seagrass bed
<p>Ecosystem engineers (e.g., seagrasses) can have profound effects on biodiversity and community structure. Sponges possess many traits (e.g., create complex structure) that suggest they may act as ecosystem engineers, but we know little about their relationships with the animal communities that inhabit seagrass beds. This study explored the effects of the marine sponge, <em>Ircinia</em> <em>felix</em>, on fish and invertebrate taxa richness, abundance, turnover, and community composition in a seagrass bed through a 1-year field experiment performed in The Bahamas. We recorded the fish and invertebrate communities present in 5 × 5 m plots with the addition of either a live sponge, a polypropylene sponge replica (structure), or no additional structure (control). Both taxonomic groups responded similarly to the addition of a live sponge. Taxa richness and abundance increased at least 4-fold over a year in the presence of <em>I</em>. <em>felix</em> but decreased 2-fold or more in the other plot types. Live sponge presence increased the number of new taxa gained by at least 24% and reduced the number of taxa lost compared to other plot types. Finally, we found that the fish community shifted in a more consistent direction in the presence of a live sponge than in the other plots. Our study shows that sponges can act as ecosystem engineers in subtropical seagrass systems; however, additional research is needed to determine the full extent and implications of their ecological effects.</p>
Global Wetlands: Luderick Seagrass Dataset - Test Set Image Patches
<p>This dataset is a test dataset of image patches created from the 'novel-test' split of the Global Wetlands Luderick-Seagrass dataset. The original images were divided as a grid into 50 image patches. The image patches were manually labeled into 'Background', 'Fish' and 'Seagrass' sets. The images were otherwise unaltered. </p> <p>We contribute this test dataset of underwater image patches to facilitate evaluation of coarse segmentation seagrass methods.</p> <p>Original dataset description: "This dataset comprises of annotated footage of Girella tricuspidata in two estuary systems in South East Queensland, Australia. This data is suitable for a range of classification and object detection research in unconstrained underwater environments."</p> <p>Original dataset citation: Ditria, Ellen M; Connolly, Rod M; Jinks, Eric L; Lopez-Marcano, Sebastian (2021)<strong>:</strong> Annotated video footage for automated identification and counting of fish in unconstrained marine environments. <em>PANGAEA</em>, <a href="https://doi.org/10.1594/PANGAEA.926930">https://doi.org/10.1594/PANGAEA.926930</a>.</p> <p>The original dataset is available at: <br> https://github.com/globalwetlands/luderick-seagrass<br> https://download.pangaea.de/dataset/926930/files/Fish_automated_identification_and_counting.zip<br> https://globalwetlands.blob.core.windows.net/globalwetlands-public/datasets/luderick-seagrass/luderick-seagrass.zip</p>
Analysis - Threatened North African seagrass meadows have supported green turtle populations for millennia
<p>Scripts and data to run bagplots and discriminant analysis associated with the paper:</p> <p>Threatened North African seagrass meadows have supported green turtle populations for millennia, de Kock et al.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.