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7,031 results for “marine”
FIG. 1 in Marine cyanobacteria diversity and biotechnological potential in Caribbean waters
FIG. 1. — Map showing Caribbean countries were studies on cyanobacteria have been reported (gray) and those that have no reports yet (white).
The SMaRP database: Sulfate, Methane and Related Parameters in marine sediments
<p>Global dataset on sulfate, methane and related parameters in marine sediments</p>
Stranded marine mammals, sea turtles and seabirds in Paraná and Santa Catarina from August 2018 to August 2023
<p><span class="fontstyle0">To assess the potential impacts from oil and gas production in deep waters of Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Projeto de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Project - PMP-BS). This project has been operating along the</span> <span class="fontstyle0">states of Santa Catarina, Paraná, São Paulo, and Rio de Janeiro, since August 2015, collecting data from stranded seabirds, turtles, and marine mammals. This dataset includes records from August 2018 to August 2023, along the Paraná and Santa Catarina coastlines. During this period, 58151 animals of at least 93 species were recorded (883 unidentified animals). From this total, 88.6% were dead and 11.4% alive when first observed. This dataset complements previous ones from the same area, and is a high-intensity monitoring effort essential to understand temporal and geographical variation of stranded animals. This data will allow future works aimed at understanding the impacts of human activities on marine ecosystems and environmental changes over time.</span> <br><br></p>
Fig. 6 in Marine insects of the Maldives (Heteroptera: Gerridae, Hermatobatidae and Veliidae; Diptera: Chironomidae) with notes on taxonomy, Indo-Pacific distribution, and ecology
Fig. 6. Hermatobates djiboutensis. Specimens from Meerufenfushi Island, Kaafu (North Malé) Atoll, 14 November 2006. Scale bar = 0.5 mm. A, male, dorsal view; B, male ventral view (length ca. 3.8 mm); C, male front leg showing teeth and tubercles on tibia (length of femur ca. 0.8 mm); D, female, dorsal view (length ca. 3.6 mm); E, female, ventral view.
Fig. 5 in Marine insects of the Maldives (Heteroptera: Gerridae, Hermatobatidae and Veliidae; Diptera: Chironomidae) with notes on taxonomy, Indo-Pacific distribution, and ecology
Fig. 5. Halobates germanus. Specimens collected inside Haa Alifu Atoll at night, January 2007. Scale bar = 0.5 mm. A, adult female, dorsal view (body length = 3.7 mm); B, male genitalia, dorsal view (genital segment length = 1.9 mm); C, male genitalia, ventral view (genital length = 1.5 mm).
Fig. 4 in Marine insects of the Maldives (Heteroptera: Gerridae, Hermatobatidae and Veliidae; Diptera: Chironomidae) with notes on taxonomy, Indo-Pacific distribution, and ecology
Fig. 4. Halobates formidabilis. Specimens from Maalhendhoo Island, Noonu Atoll, 5 May 2013. Scale bars = 0.5 mm. A, 5th instar nymph, dorsal view, showing colour pattern (length = 4.2 mm); B, adult male, dorsal view (length = 5.6 mm); C, male genitalia, dorsal view (genital segment length = 2.0 mm); D, male genitalia, ventral view (genital length = 1.4 mm).
Fig. 3. Halobates formidabilis. 5 in Marine insects of the Maldives (Heteroptera: Gerridae, Hermatobatidae and Veliidae; Diptera: Chironomidae) with notes on taxonomy, Indo-Pacific distribution, and ecology
Fig. 3. Halobates formidabilis. 5th instar nymph, live individual, Dhidhdhoofinolhu Island, Alifu Dhaalu Atoll, 13 May 2006; not measured, approximate length 5 mm. A, dorsal view; B, ventral view, note uniform pale colouration.
FIGURE 2 in Speciation with gene flow in marine systems
FIGURE 2 Cladogram of the hypotheses of Animalia (after Dunn et al., 2014) and Chromista (after CavalierSmith, 2018) phylogenies. Animalia and Chromista clades in which marine species have been described, are marked blue, with clades in which potential cases of ecological speciation with gene flow Downloaded from Brill.com 12/12/2023 03:01:49PM have been identified in orangevia. Open LettersAccess refer.toThis examples is an of openspecies accessshown articlein fig. 1. distributed under the terms of the prevailing CC-BY license at the time of publication. http://creativecommons.org/licenses/by-nc/4.0
FIGURE 1 in Speciation with gene flow in marine systems
FIGURE 1 Examples of some species which potentially arose through ecological speciation with gene flow. The octocoral Eunicea flexuosa (a; photo by Y.W. Lau), the Caribbean hamlet Hypoplectrus unicolor (b; photo by O. Puebla), the intertidal gastropod Littorina saxatilis (c; photo by P. Larsson), the nudibranch Phestilla minor (d; photo by A. Fritts-Penniman), the Japanese greenling Hexagrammos otakii (e; photo by Z. Kanamoto), the corallivorous gastropod Coralliophila violacea (f; photo by S.E. Simmonds), the Downloaded from Brill.com 12/12/2023 03:01:49PM seahorse Hippocampus erectus (via g; Open photo by Access E.. RoseThis), the is an snapping open access shrimparticle Alpheus armatus distributed(h;under photothe terms by A. Anker), the undescribed, coral-associated of gobytheGobiodon prevailingsp. B (CC-BY i; photo licenseby P. at L. the Mundaytime),of and the publication. Caribbean sponge Chondrilla caribensis (j; photo by N.J. de Voogdhttp):. //creativecommons.org/licenses/by-nc/4.0
FIGURE 3 in Speciation with gene flow in marine systems
FIGURE 3 Genetic mechanisms of single traits driving divergence. Disruptive selection acting on a mating cue (e.g., colour pattern or body size) targeted by a preference locus elsewhere in the genome ('classic magic trait', after Servedio et al., 2011) results into assortative mating (a). In case of habitat or host differentiation and mating on the host species, disruptive selection may directly lead to assortative mating (b), without the need for a preference locus ('automatic magic trait'). Figures after Servedio et al. (2011). Downloaded from Brill.com 12/12/2023 03:01:49PM via Open Access. This is an open access article distributed under the terms of the prevailing CC-BY license at the time of publication. http://creativecommons.org/licenses/by-nc/4.0
Fig. 2A–H in Dirty Tricks in the Plankton: Diversity and Role of Marine Parasitic Protists
Fig. 2A–H. Protistan parasites of marine zooplankton. A – the dinoflagellate Haplozoon inerme (bottom left) parasitizing Appendicularia sicula (after Cachon 1964); B, C – hyperparasitic Amobophrya grassi in Oodinium poucheti, an ectoparasites on Oikopleura (after Cachon 1964); B – several early-stage parasites inside the host; C – macrospore (left) and dividing microspores (right) of A. grassi; D, E – the syndinean dinoflagellate Syndinium bogerti in the acantharian Amphilonche sp. (after Hollande and Enjumet 1955); D – multinuclear parasites inside the host; E – relased parasite macrospore (left) and microspore (right); F–H – Syndinium- like parasite in the copepod Clausocalanus sp. from the NW Mediterranean Sea; F, G – dinospores originating from the infected host in H. Scale bars: 10 µm; H – recently diseased host filled with live dinospores. Scale bar: 100 µm.
Fig. 1A in Dirty Tricks in the Plankton: Diversity and Role of Marine Parasitic Protists
Fig. 1A–-E. Protistan parasites of marine phytoplankton. A – Amoeba biddulphiae in the diatom Odontella sinensis. Left: recently attached parasite cell. Center: parasitic amoeba inside the host. Rigth: almost empty diatom frustule with protoplasm transformed into 10 amoebae (after Zuelzer 1927); B, C – the stramenopile fungi Lagenisma coscinodisci in the diatom Coscinodiscus sp.; B – host cell protoplasm transformed into parasite hyphae; C – expulsion of parasite swarmer cells. Courtesy of Gerhard Drebes, Plankton*Net Data Provider at the Alfred Wegener Institute for Polar and Marine, http://planktonnet. awi.de; D – Parvilucifera sp. sporangium in a deceased dinoflagellate, Tripos macroceros, from the North Sea; E – Amoebophrya sp. in the dinoflagellate Tripos fusus from the North Sea. Arrows show extreme points of parasite. All scale bars: 50 µm.
Storyline Simulations Data for the paper Athanase et al.: Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean
<p>Data used for producing the Figures in the paper entitled "Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean", Athanase et al. (Communications Earth & Environment).</p> <p>The AWI-CM-1-1-MR free runs are available in the Earth System Grid Federation (ESGF) data nodes (https://esgf-data.dkrz.de/search/cmip6-dkrz/). The ERA5 reanalysis data used in the paper can be accessed from the European Centre for Medium-Range Weather Forecasts (ECMWF; https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5). Here, we provide data from the nudged storyline simulations carried out with the AWI-CM-1-1-MR coupled climate model.</p> <p>Parameters naming convention:</p> <p>- Sea Surface Temperature ("tos").</p> <p>- Radiative Fluxes ("radiations"), including net surface heat flux ("qnet"), net surface thermal radiation ("trads"), net surface solar radiation ("srads"), latent heat flux ("ahfl"), sensible heat flux ("ahfs").</p> <p>- Low Clouds Cover ("lcc").</p> <p>- Mixed Layer Depth ("mlotst").</p> <p>- Surface Air Temperature ("tas").</p> <p>- 10 m winds ("u10","v10").</p> <p>All data is provided as the 5-member ensemble mean from the nudged storyline simulations. Data is provided for the storyline simulations of the summer 2019 Northeast Pacific marine heatwave, in different background climate conditions: preindustrial ("PI"), present-day ("PD"), and +4°C warmer world ("4K"). </p> <p> </p>
Heterogeneous selectivity and morphological evolution of marine clades during the Permian-Triassic mass extinction
<p>This is a supplementary repository, including the dataset and codes we used in this manuscript. we developed a new method, called DeepMorph to analyze the morphological evolution of six marine clades (i.e., ammonoids, bivalves, brachiopods, gastropods, ostracods, and conodonts ) during the Permian-Triassic mass extinction events. The taxonomy dataset was uploaded and contains 599 genera and 656 images, spanning from the latest Permian (Changhsingian) to the earliest Triassic (Induan). </p>
Acoustic features as a tool to visualize and explore marine soundscapes: Applications illustrated using marine mammal Passive Acoustic Monitoring datasets
<p>Passive Acoustic Monitoring (PAM) is emerging as a solution for monitoring species and environmental change over large spatial and temporal scales. However, drawing rigorous conclusions based on acoustic recordings is challenging, as there is no consensus over which approaches, and indices are best suited for characterizing marine and terrestrial acoustic environments.</p> <p>Here, we describe the application of multiple machine-learning techniques to the analysis of a large PAM dataset. We combine pre-trained acoustic classification models (VGGish, NOAA & Google Humpback Whale Detector), dimensionality reduction (UMAP), and balanced random forest algorithms to demonstrate how machine-learned acoustic features capture different aspects of the marine environment.</p> <p>The UMAP dimensions derived from VGGish acoustic features exhibited good performance in separating marine mammal vocalizations according to species and locations. RF models trained on the acoustic features performed well for labelled sounds in the 8 kHz range, however, low and high-frequency sounds could not be classified using this approach.</p> <p>The workflow presented here shows how acoustic feature extraction, visualization, and analysis allow for establishing a link between ecologically relevant information and PAM recordings at multiple scales.</p> <p>The datasets and scripts provided in this repository allow replicating the results presented in the publication. </p>
Figure 3 in Pliocene marine mammals from the Whalers Bluff Formation of Portland, Victoria, Australia
Figure 3. Mysticeti and Physeteridae from the Pliocene Whalers Bluff Formation, Portland. A, Balaenidae gen. et sp. indet., incomplete right periotic, NMV P218269, in ventrolateral view (AC); B, Balaenopteridae gen. et sp. indet., incomplete right periotic, NMV P218268, in ventral view (AC); C, cf. Physeter sp., apical crown of tooth, NMV P218298, in side view (AC). Scale bars equal 10 mm.
Figure 7 in Pliocene marine mammals from the Whalers Bluff Formation of Portland, Victoria, Australia
Figure 7. Delphinus sp. or Stenella sp. (Pliocene Whalers Bluff Formation, Portland, Victoria, Australia), left periotic, NMV P218265 (AC). A, ventral view. B, cranial view. C, medial view. D, lateral view. Scale bar equals 10 mm.
Figure 2 in Pliocene marine mammals from the Whalers Bluff Formation of Portland, Victoria, Australia
Figure 2. Stratigraphic correlation of the Portland fossil marine mammal-bearing formations with selected major late Neogene marine mammalbearing units. Stratigraphy and geochronology are from Barnes (1973, 1977, 1984, 1998), Muizon and DeVries (1985), Muizon and Bellon (1986), Gottfried et al. (1994), Whitmore (1994), Prothero (1998), Fordyce (2002a), Fordyce et al. (2002), Fitzgerald (2004b), Muizon et al. (2004), Barnes et al. (2005) and Gradstein et al. (2004). Abbreviations: AGL, Pisco Formation, Aguada de Lomas level; BL, Batesford Limestone; BRS, Black Rock Sandstone; CLB, Pisco Formation, Cerro la Bruja; ELJ, Pisco Formation, El Jahuay level; GBF, Grange Burn Formation; LAF, Lower Member, Almejas Formation; MTM, Pisco Formation, Montemar level; SAO, Pisco Formation, Sacaco level; SAS, Pisco Formation, Sud-Sacaco level; SDF, San Diego Formation; UAF, Upper Member, Almejas Formation; WBF, Whalers Bluff Formation.
Figure 10 in Pliocene marine mammals from the Whalers Bluff Formation of Portland, Victoria, Australia
Figure 10.?Phocidae gen. et sp. indet. (Pliocene Whalers Bluff Formation, Portland, Victoria, Australia), incomplete left mandible, NMV P218465 (AC). A, dorsal view. B, lateral view. C, medial view. Black arrow in B points to mental foramen. Scale bar equals 10 mm
Figure 1 in Pliocene marine mammals from the Whalers Bluff Formation of Portland, Victoria, Australia
Figure 1. Locality of Portland in Victoria, south-east Australia, and the Portland fossil marine vertebrate localities. Fossils have been collected as float along the beach and from adjacent cliffs between Dutton Way and Portland Harbour. Black shading indicates areas of cliff outcrop of the Whalers Bluff Formation.
ScienceDex guides
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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.