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348 results for “seagrass”
Oxygen Flux in a Restored Seagrass Meadow on the Coast of Virginia, 2011-2012
Oxygen flux was measured seasonally using the eddy correlation technique in a restored eelgrass (Zostera marina L.) meadow in the Virginia coastal bays (USA). In 5 intensive field campaigns, we covered seasonal variation in oxygen metabolism and biomass with overlap in late summer to observe interannual variability.
Century-scale resilience of stored seagrass blue carbon in coastal Virginia
Blue carbon sequestration in coastal ecosystems is only relevant to climate change mitigation and carbon offset crediting if the carbon is taken out of circulation for at least a century. Here, we report data from sediment cores, up to 2.2 m deep, collected below modern Zostera marina seagrass meadows in Mid-Atlantic lagoons in Virginia, USA. Integrated data on Pb-210 and C-14 dating, sediment organic matter and carbon content, and stable isotopic and DNA analysis of sediment samples revealed that buried seagrass organic carbon persisted for centuries.
Seagrass biomechanics and flow-seagrass interactions data
<p>This data package provides post-processed data used in the manuscript “Temporal variability in biomechanics and within-plant heterogeneity regulate flow-seagrass interactions”authored by Davide Vettori and Timothy I. Marjoribanks. The data package contains data obtained from direct measurement of maximum quantum yield of fluorescence, morphological characteristics and mechanical properties of the seagrass species <em>Zostera marina</em> collected in the Rodsand lagoon (DK). Further, data of seagrass drag force, biomass height, and deflected height computed by using a numerical model of flow-seagrass interactions are provided. The numerical model was parameterized using data from direct measurements.</p>
Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea
<p>This repository includes datasets published Sogin et al., Seagrasses excretes sugars to their rhizosphere making them the sweet spots in the sea. Datasets include: </p> <ol> <li>Dissolved organic carbon concentrations</li> <li>The percent of dissolve organic matter composed of polyphenols</li> <li>Porewater sugar concentrations</li> <li>Sediment oxygen concentrations</li> <li>Sediment incubation results</li> </ol> <p>Data was connected primarily from underneath a seagrass meadow in SantAndra Bay, Elba, Italy (42.808304,10.142891). However, additional sugar concentrations are also obtained from seagrass meadows in Belize and Germany. </p> <p> </p> <p> </p> <p> </p> <p>for exploring the concentrations of sugars, dissolve organic carbon, oxygen and polyphenols occurring in sediments inside and surrounding a <em>Posidonia oceanica</em> seagrass meadow in SantAndra Bay, Italy. </p>
Dataset from: Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows
<p>This is the dataset for an article published in Marine Environmental Research titled, 'Tolerance to aerial exposure influences distributional patterns in multi-species intertidal seagrass meadows', in October 2023. Following is the abstract for the paper for which this was the primary data:</p><p>Multi-specific seagrass meadow assemblages dominate most tropical intertidal regions but the relative role of environmental stress in determining distribution patterns is still uncertain. Here we combine observational and experimental approaches to examine aerial exposure as a factor driving species occurrence patterns in intertidal meadows of the Andaman archipelago, where up to 6 seagrass species co-occur. In the studied meadow, patterns of exposure did not map onto distance from the coast, instead creating a patchy matrix of exposure, based on fine-scale bathymetric differences. Distributional surveys showed that seagrass species were similarly patchy, often tracking the degree of aerial exposure during low tide. While some species (<i>Halophila ovalis, Halophila minor,</i> and <i>Thalassia hemprichii</i>) frequently occurred in submerged or subtidal areas and were rarely found in completely exposed areas, other species (<i>Cymodocea rotundata</i>, <i>Halophila beccarii,</i> and <i>Halodule uninervis</i>) also occupied areas that were subject to partial or complete aerial exposure during low tide. To confirm this pattern, we used field-based transplant experiments, employing a natural gradient of tidal exposure to subject six seagrass species to different desiccation exposure times. After a month, <i>H. beccarii</i> and <i>H. uninervis</i> transplants survived in areas that sustained more than 3 h of aerial tidal exposure without significant mortality, compared with other species (<i>H. ovalis, H. minor, T. hemprichii, C. rotundata</i>) that showed dramatic shoot mortality at the same exposure regimes. For all species, 4 h represented the upper limit of exposure, in both experimental and distributional studies. However, despite their wider tolerance of exposure to air, <i>H. beccarii</i> and <i>H. uninervis</i> did not dominate the entire meadow. This could be a result either of their poor tolerance to other environmental factors or their lower competitive abilities among other mechanisms. This suggests that in tropical multi-specific meadows, strong environmental filters could override clear intertidal zonation to create patchy matrices based on species tolerances.</p>
Algal Epiphyte Biomass from Seagrass Tissue Along the South Texas Coast (2011 - 2021)
<p>Estimates of algal epiphytic biomass are made from separate leaf samples of entire shoots. Leaf samples for epiphytic biomass must be processed within three days of collection. In the laboratory, epiphytes are separated from a known leaf area using a scalpel or razor blade. Scraped material is then collected and retained on pre-weighed glass fiber filters. The collected epiphytic biomass and scraped seagrass leaves are then dried to a constant weight at 60°C for determination of dry weight biomass. Samples were taken at six sites along the Texas coast from 2011 - 2021.</p>
Dataset for "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows"
<p>This dataset accompanies the article "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows" accepted for publication in Biogeosciences (https://doi.org/10.5194/bg-2023-173). The dataset includes benthic fluxes and biodiversity data in from bare sediments, restored <em>Zostera marina</em> and a natural <em>Z. marina</em> meadow collected in Gåsö, Sweden (58.2325, 11.3984) between July 05 - July 20, 2022. </p>
Data files for manuscript "Coral growth along a natural gradient of seawater temperature, pH, and oxygen in a nearshore seagrass bed on Dongsha Atoll, Taiwan"
<p>Data files and README file for the manuscript "Coral growth along a natural gradient of seawater temperature, pH, and oxygen in a nearshore seagrass bed on Dongsha Atoll, Taiwan" by Ariel K. Pezner, Travis A. Courtney, Wen-Chen Chou, Hui-Chuan Chu, Benjamin W. Frable, Samuel A. H. Kekuewa, Keryea Soong, Yi Wei, and Andreas J. Andersson.</p> <p>Data files include carbonate chemistry data from discrete seawater samples taken over a shallow seagrass bed, <em>Porites</em> skeletal extension, density, and calcification rates from 15 coral cores collected in the seagrass bed (as well as collection locations), and data from an autonomous CTD sensor deployed in the shallow seagrass. </p>
Fig. 2 in Composition and abundance of decapod crustaceans in mixed seagrass meadows in the Paraguaná Peninsula, Venezuela
Fig. 2. Non-metric multidimensional scaling ordination (NMDS) for the abundance of decapods associated with two mixed seagrass meadows seagrass meadows at the Paraguaná Peninsula, FalcÓn State, Venezuela.
Fig. 1 in Composition and abundance of decapod crustaceans in mixed seagrass meadows in the Paraguaná Peninsula, Venezuela
Fig. 1. Location of the sampling sites at the Paraguaná Peninsula, FalcÓn State, Venezuela (, El SupÍ; ▲, AdÍcora).
Figure 1 in A checklist of halacarid and pontarachnid mites (Acari: Halacaridae and Pontarachnidae) found in seagrass habitats
Figure 1. Number of halacarid and pontarchnid species reported from seagrass habitats in each marine provinces of the world.
Data from: Sedimentary organic carbon and nitrogen sequestration across a vertical gradient on a temperate wetland seascape including salt marshes, seagrass meadows and rhizophytic macroalgae beds
<p>Dataset </p> <p> </p> <p>Coastal wetlands are key in regulating coastal carbon and nitrogen dynamics and contribute significantly to climate change mitigation and anthropogenic nutrient reduction. We investigated organic carbon (OC) and total nitrogen (TN) stocks and burial rates at four adjacent vegetated coastal habitats across the seascape elevation gradient of Cádiz Bay (South Spain), including one species of salt marsh, two of seagrasses, and a macroalgae. OC and TN stocks in the upper 1 m sediment layer were higher at the subtidal seagrass <em>Cymodocea nodosa</em> (72.3 Mg OC ha<sup>-1</sup>, 8.6 Mg TN ha<sup>-1</sup>) followed by the upper intertidal salt marsh <em>Sporobolus maritimus</em> (66.5 Mg OC ha<sup>-1</sup>, 5.9 Mg TN ha<sup>-1</sup>), the subtidal rhizophytic macroalgae <em>Caulerpa prolifera</em> (62.2 Mg OC ha<sup>-1</sup>, 7.2 Mg TN ha<sup>-1</sup>), and the lower intertidal seagrass <em>Zostera noltei</em> (52.8 Mg OC ha<sup>-1</sup>, 5.2 Mg TN ha<sup>-1</sup>). The sedimentation rates increased from lower to higher elevation, from the intertidal salt marsh (0.24 g cm<sup>-2</sup> yr<sup>-1</sup>) to the subtidal macroalgae (0.12 g cm<sup>-2</sup> yr<sup>-1</sup>). The organic carbon burial rate was highest at the intertidal salt marsh<em> </em>(91 ± 31 g OC m<sup>-2</sup> yr<sup>-1</sup>), followed by the intertidal seagrass, (44 ± 15 g OC m<sup>-2</sup> yr<sup>-1</sup>), the subtidal seagrass (39 ± 6 g OC m<sup>-2</sup> yr<sup>-1</sup>), and the subtidal macroalgae (28 ± 4 g OC m<sup>-2</sup> yr<sup>-1</sup>). Total nitrogen burial rates were similar among the three lower vegetation types, ranging from 5 ± 2 to 3 ± 1 g TN m<sup>-2</sup> yr<sup>-1</sup>, and peaked at <em>S. maritimus </em>salt marsh with 7 ± 1 g TN m<sup>-2</sup> yr<sup>-1</sup>. The contribution of allochthonous sources to the sedimentary organic matter also decreased with elevation, from 72% in <em>C. prolifera</em> to 33% at <em>S. maritimus</em>. Our results highlight the need of using habitat-specific OC and TN stocks and burial rates to improve our ability to predict OC and TN sequestration capacity of vegetated coastal habitats at the seascape level. We also demonstrated that the stocks and burial rates in <em>C. prolifera </em>habitats were within the range of well-accepted blue carbon ecosystems such as seagrass meadows and salt marshes.</p>
Maldivian seagrass aerial extent raster layers 2021 - 2000
<p>Contemporary Seagrass Map (2021)<br>The contemporary product was derived from Sentinel-2 satellite imagery, operated by the European Space Agency (ESA). The imagery, with a spatial resolution of 10 meters was pre-processed in Google Earth Engine (GEE) following established methods for retrieval of benthic signals. A support vector machine (SVM) classifier was used for classification. Training data encompassed three classes: seagrass, non-seagrass (including coral reefs, mangroves, sand/rubble, and macroalgal beds), and optical-deep water (ODW), totaling 25,463 training pixels. Important: the classification output is a binary (seagrass/non-seagrass) class. Validation of the map was conducted independently using 1,019 in-situ field survey points collected from 2017-2023. Mapping accuracy was assessed through an error matrix. Overall accuracy = 82%</p> <p>Historical Seagrass Maps (2000-2021)<br>The historical mapping product is derived from Landsat data spanning 2000 to 2021. The Landsat missions, operated by the United States Geological Survey (USGS) in collaboration with NASA, provide satellite data with a spatial resolution of 30 meters. There are no suitable data for 2010-2011. Each composite, representing a two-year period, underwent radiometric normalisation relative to a reference image from 2020-2021. Training and validation data were designated using an identical methodology as the contemporary maps, with 823 validation points utilised for accuracy assessment from 2017-2023. A fixed pixel approach was adopted to assess accuracy across the entire time series, involving the manual delineation of seagrass and non-seagrass areas. Overall accuracy was >89% in all cases.</p> <p> </p> <p>These data represent GeoTIFF files of seagrass habitat extent (binary classification). Contemporary data come from habitat classification of Sentinel-2 imagery (10 m pixel size). Historical maps come from habitat classification of Landsat data (30 m pixel size). For further details of workflow and data specifications please see the original publication DOI: 10.1038/s41598-024-61088-1</p>
Dataset: Blue carbon dynamics across a salt marsh-seagrass ecotone in a cool-temperate South African estuary
<p>This is a dataset of organic carbon, nitrogen, and phosphorus content from the Olifants estuary. The study was designed to investigate drivers of variability at different spatial scales and across the salt marsh-seagrass ecotone. Samples were collected in March 2023 from three selected sites (upper, middle, and lower) in the estuary. Each site featured three transects, extending from the salt marsh vegetation of mixed species through the <em>Zostera capensis</em> seagrass meadows towards the water. Sediment cores were taken to a depth of 50 cm, but only the top 0-5 cm section was analyzed. Carbon and nitrogen content were measured using an Elementar Vario EL Cube Elemental CHNS Analyzer, while phosphorus was determined by ICP at Central Analytical Facilities (Stellenbosch University).</p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Sampling site</strong></p> </td> <td> <p><strong>GPS coordinates</strong></p> </td> </tr> <tr> <td> <p>Upper</p> </td> <td> <p>31°39'45.27"S, 18°11'42.40"E</p> </td> </tr> <tr> <td> <p>Middle</p> </td> <td> <p>31°40'56.46"S, 18°12'3.72"E</p> </td> </tr> <tr> <td> <p>Lower</p> </td> <td> <p>31°41'39.85"S, 18°11'15.95"E</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>File description</strong></p> <p><em>CHNS_Dataset_SM&INT.xlsx</em>: Data for intermediate sample measurements including percent organic carbon content and and percent nitrogen content for all sites</p> <p><em>ICP_Data_INT.xlsx</em>: Data for Phosphorus content and other related measurements for the upper site. </p>
Fig. 8 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 8: A-H. TEM micrographs of young epidermal cells of C. nodosa after three weeks transfer at S2 area. A. Surface view of epidermal cells. They are disorganized and most of the organelles are not easily seen. B. Epidermal cell with wavy cell walls and a central nucleus with loose and partially disrupted nuclear membrane. C. A group of peripherally distributed mitochondria containing a rather amorphous mass of destroyed cristae. D. Dictyosome with rounded and loose cisternae. E. Disorganized chloroplasts with remnants of thylakoids and starch grains. F. Cortical cytoplasmic area with disorganized mitochondria and inflated ER fragments. G. Higher magnification of inflated fragments of RER with attached electron-dense material. H. ER membrane-like network with projecting edges filled with electron-dense material. Scale bars = 2 μm (A), 1μm (B) 0.5μm (C), 0.2 (D, E, F) and 0.1 (G, H).
Fig. 6 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 6: A-E. TEM micrographs of young epidermal cells of C. nodosa after three weeks transfer at S1 area. A. Group of epidermal cells that appear empty, with most of the cell elements disorganized and distorted. B. Higher magnification of a nucleus with condensed masses of chromatin which covered most of the nucleoplasm. The nuclear membrane appears loose and discontinuous. C. Cytoplasmic area showing dictyosomes with few cisternae and numerous swollen fragments of rough ER (RER) D. Fragmented ER membranes traversing the cortical cytoplasm. E. Disorganized chloroplasts with large starch grains surrounded by a system of electron-dense elongated or round plastoglobuli. Mitochondria with a few broken and sometimes dilated cristae are also observed. Scale bars = 1 μm (A), 0.5μm (B, C, E) and 0.2μm (D).
Fig. 5 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 5: A-C. TEM micrographs of young epidermal cells of P. oceanica after one week transfer at S2 area. A. Epidermal cell with increased number of chloroplasts and mitochondria. B. Chloroplast with oval-shaped and rod-like plastoglobuli around starch grains. Mitochondria with very few fragmented cristae are also visible. C. Dictyosomes and fragmented ER network extended along the cell periphery. Scale bars = 1 μm (A), and 0.5μm (B, C).
Fig. 9 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 9: A-F. TEM micrographs of young epidermal cells of P. oceanica after three weeks transfer at S2 area. A. Group of epidermal cells that appear distorted, with wavy cell walls. B. Part of an epidermal cell with a central nucleus with disorganized nuclear membrane. The nucleus is surrounded by remnants of cell organelles and an electron-dense ER network. C. Chloroplasts with remnants of thylakoids and plastoglobuli, and disorganized mitochondria. Both appear empty and destroyed. D. Starch grains from disorganized chloroplasts appear dispersed in the cytoplasm. E. Cytoplasmic area with structures of ER network connected and/or filled with electron-dense material. F. Higher magnification of inflated, swollen RER cisternae, filled with electron-dense material. Scale bars = 2 μm (A), 1μm (B) 0.2 (C, D, E,) and 0.1 (F).
Fig. 1 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 1: A-E. TEM micrographs of young epidermal cells of C. nodosa control material. A. Paradermal section of an epidermal cell. Note its orthogonal shape, the dense cytoplasm, and the large nucleus occupying most of the cell space. B. Higher magnification of the peripheral part of the cell of Fig. A, showing the cell wall and cortical endoplasmic reticulum (ER). C. Cytoplasmic area taken from a plant transferred for one week to S1 area. Note the increased number of mitochondria, dictyosomes and ER, compared to the control. D. Epidermal cell after transfer for one week from S1. It shows a prominent central nucleus, undifferentiated chloroplasts with few grana and an increased number of mitochondria and ER membranes. E. Higher magnification of a cortical cytoplasmic area of a cell like D showing an extended ER network distributed in the cell periphery. Scale bars = 2 μm (A), 1μm (D) and 0.2μm (B, C, E).
Fig. 3 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract
Fig. 3: A-E. Interphase epidermal cells of young leaves under different pH levels. In all figures, green represents tubulin immunofluorescence and blue represents Hoechst staining of DNA. A. Transfer of CN to pH 7.8 for 1 week: thick MT bundles showing a slightly aberrant orientation. B. Transfer of PO to pH 7.8 for 1 week: MT bundles oriented perpendicularly to the long leaf axis. C. Transfer of CN to pH 6.8 for 1 week: fragmented MT bundles with slightly aberrant orientations. D. Transfer of CN to pH 7.8 for 3 weeks: short, fragmented, and curved MT bundles with aberrant orientations. E. Transfer of PO at pH 7.8 for 3 weeks: depolymerization and disassembly of interphase MTs with loss of proper orientation. Scale bar = 10 μm.
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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)
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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.