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193 results for “marine ecology”
FIGURE 16 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 16. Ancestral state reconstruction of prey capture strategies and tooth pattern and cusp shape in Odobenidae. Topology follows Berta et al. (2018). Details on the tree can be found in Appendix 1. All data matrices and complete trees with branch lengths can be found in the Supplementary Information uploaded to Dryad repository (https:// doi.org/10.6086/d14671).
FIGURE 17 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 17. Ancestral state reconstruction of prey type preference in stem and crown Pinnipedimorpha. Topology follows Rybczynski et al. (2009), Dewaele et al. (2017), and Berta et al. (2018). Details on the tree can be found in Appendix 1. All data matrices and complete trees with branch can be found in the Supplementary Information (https:// doi.org/10.6086/d14671).
FIGURE 19 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 19. Ancestral state reconstruction of prey capture strategies and tooth pattern and cusp shape in stem Odontoceti. Topology follows Gatesy et al. (2013) and Boessenecker et al. (2017). Details on the tree can be found in Appendix 1. All data matrices and complete trees with branch lengths can be found in the Supplementary Information (https://doi.org/10.6086/d14671).
FIGURE 20 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 20. Ancestral state reconstruction of prey capture strategies and tooth pattern and cusp shape in crown Odontoceti. Topology follows McGowen et al. (2009) and Gatesy et al. (2013). Details on the tree can be found in Appendix 1. All data matrices and complete trees with branch lengths can be found in the Supplementary Information (https://doi.org/10.6086/d14671).
FIGURE 1 in Feeding in marine mammals: An integration of evolution and ecology through time
FIGURE 1. Feeding strategies of extant marine mammal predators (from Kienle et al., 2017) with the addition of grazing (sirenians, authors' work).
FIGURE 8 in The Sea Slug Phanerophthalmus luteus (Gastropoda: Opisthobranchia) and its Habitat and Ecology at the Marine Jellyfish Lake (Ongeim'l Tketau), Palau, Western Pacific Ocean
FIGURE 8. Central and Western Pacific showing the distribution of Phanerophthalmus luteus (black stars) and the location of Jellyfish Lake, Palau (large gray star). Modified from distribution map for P. luteus in Austin, Gosliner, and Malaquias (2018, fig. 23).
FIGURE 5 in The Sea Slug Phanerophthalmus luteus (Gastropoda: Opisthobranchia) and its Habitat and Ecology at the Marine Jellyfish Lake (Ongeim'l Tketau), Palau, Western Pacific Ocean
FIGURE 5. Hydrography of Jellyfish Lake. The water column is divided into an oxic and an anoxic zone by a bacterial plate that creates a chemo- and thermocline. The bacteria absorb all the light and digest most of the vegetation (except larger branches). No foraminifera or animals are known to live below the bacterial plate due to the absence of oxygen in the water column. Phanerophthalmus luteus is restricted to the upper 3 to 10 m in the oxygenated part of the water column; they are most abundant between 4.5 and 7.6 m. Figure modified from Venkateswaran et al. (1993) by adding the depth distribution of P. luteus.
FIGURE 4 in The Sea Slug Phanerophthalmus luteus (Gastropoda: Opisthobranchia) and its Habitat and Ecology at the Marine Jellyfish Lake (Ongeim'l Tketau), Palau, Western Pacific Ocean
FIGURE 4. Bathymetry of Jellyfish Lake, Mecherchar Island. The gray line with arrows indicates the area in the lake of our marine survey to 10 m deep for sea slugs along the north and east sides of the lake. Black circles indicate the transect and collecting stations for foraminifera used to estimate the depth distribution of Phanerophthalmus luteus. Map and transect from Lipps and Langer 1999.
FIGURE 3 in The Sea Slug Phanerophthalmus luteus (Gastropoda: Opisthobranchia) and its Habitat and Ecology at the Marine Jellyfish Lake (Ongeim'l Tketau), Palau, Western Pacific Ocean
FIGURE 3. Vegetation of Jellyfish Lake, Mecherchar Island. A. The lake, slightly less than 400 m long, is in a hole at least 230 m deep (150 to 200 m from the top of the hole to the Lake's surface and 30 m to the bottom of the lake) in the Miocene limestone. North is at the top of the image. B. Dense terrestrial vegetation, including mangroves at the lake edges, hangs over the lake. The surrounding vegetation contributes organic debris to the lake. C. Bottom of the lake from 0 to 13 m is covered with plant debris and algal growth. Photograph is at 2 m deep looking down slope. D. One of many logs that have fallen into the lake and are now inhabited by a wide variety of algae and animals including P. luteus. View is down the log from a depth of about 0.5 m. Credits: A. Aerial photograph courtesy of Dr. Pat Colin. B.-D. Photographs by Jere H. Lipps, 2013.
FIGURE 7 in The Sea Slug Phanerophthalmus luteus (Gastropoda: Opisthobranchia) and its Habitat and Ecology at the Marine Jellyfish Lake (Ongeim'l Tketau), Palau, Western Pacific Ocean
FIGURE 7. Egg masses (more or less spherical to oblong white objects) of Phanerophthalmus luteus attached to filamentous and other algae on a slope in Jellyfish Lake. Photograph taken November 16, 2009, courtesy of Lori J. Bell.
Figure 2 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 2. – The proportion of the various phyla represented in the Bendima database, based on the number of single organisms or colonies.
Figure 1 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 1. – Images and samples collection; sorting of the caught organisms (A), full photographing (B), taxa identification/counting/measurement and storage in the Bendima database in the form of cropped images (C), conservation of representative sub-samples for taxonomy and DNA barcoding (D).
Figure 3 in Bendima: a database for marine macro-invertebrate bycatch data designed to improve reproducibility in benthic ecology
Figure 3. – The geographical coverage of the Bendima database; the location of the zoomed area is in provided in the inset world map; stations are aggregated into presence data according to a grid of cells of 1°; the letters and num- bers relate to the name of the French Economic Exclusive Zones (EEZ) and various geomorphic structures located in international waters: A: Kerguelen EEZ, B: Crozet EEZ, C: Saint-Paul et Amsterdam EEZ, 1: Del Cano ridge, 2: Elan Bank, 3: Ob et Lena Bank, 4 and 5: Antarctica shelf.
Data and scripts for Predictable Ecological Response to Rising CO2 of a Community of Marine Phytoplankton
<p>Rising atmospheric CO<sub>2</sub> and ocean acidification are fundamentally altering conditions for life of all marine organisms, including phytoplankton. Differences in CO<sub>2</sub> related physiology between major phytoplankton taxa lead to differences in their ability to take up and utilise CO<sub>2</sub>. These differences may cause predictable shifts in the composition of marine phytoplankton communities in response to rising atmospheric CO<sub>2</sub>. We report an experiment in which 7 species of marine phytoplankton, belonging to 4 major taxonomic groups (cyanobacteria, chlorophytes, diatoms and coccolithophores) were grown at both ambient (500 µatm) and future (1000 µatm) CO<sub>2</sub> levels. These phytoplankton were grown as individual species, as cultures of pairs of species and as a community assemblage of all seven species in two culture regimes (high-nitrogen batch cultures and lower-nitrogen semi-continuous cultures, though not under nitrogen limitation). All phytoplankton species tested in this study increased their growth rates under elevated CO<sub>2</sub> independent of the culture regime. We also find that, despite species-specific variation in growth response to high CO<sub>2</sub>, the identity of major taxonomic groups provides a good prediction of changes in population growth and competitive ability under high CO<sub>2</sub>. The CO<sub>2</sub>-induced growth response is a good predictor of CO<sub>2</sub>-induced changes in competition (R<sup>2</sup>>0.93) and community composition (R<sup>2</sup>>0.73). This study suggests that it may be possible to infer how marine phytoplankton communities respond to rising CO<sub>2</sub> levels from the knowledge of the physiology of major taxonomic groups, but that these predictions may require further characterisation of these traits across a diversity of growth conditions. These findings must be validated in the context of limitation by other nutrients. Also, in natural communities of phytoplankton, numerous other factors that may all respond to changes in CO2, including nitrogen fixation, grazing and variation in the limiting resource will likely complicate this prediction.</p>
Spread of the non-native anemone Anemonia alicemartinae Häussermann & Försterra, 2001 along the Humboldt-current large marine ecosystem: an ecological niche model approach
<p>Environmental variables and script</p>
Figure 5 in First record of five fish species from Réunion Island observed during the inventory of the Marine Natural Zones of Interest for Ecology, Flora and Fauna (ZNIEFF)
Figure 5. – Specimen of Trichonotus marleyi photographed on 6 April 2017 at 20°55'30.54"S and 55°17'55.32"E.
Figure 3 in First record of five fish species from Réunion Island observed during the inventory of the Marine Natural Zones of Interest for Ecology, Flora and Fauna (ZNIEFF)
Figure 3. – Specimen of Fusigobius neophytus photographed on 22 November 2017 at 21°1'16.32"S and 55°13'31.84"E.
Figure 1 in First record of five fish species from Réunion Island observed during the inventory of the Marine Natural Zones of Interest for Ecology, Flora and Fauna (ZNIEFF)
Figure 1. – Location of the observation stations of the 5 fish species present- ed in this study on a geomorphological map of the Reunionese coastline.
Figure 4 in First record of five fish species from Réunion Island observed during the inventory of the Marine Natural Zones of Interest for Ecology, Flora and Fauna (ZNIEFF)
Figure 4. – Specimen of Samariscus triocellatus photographed on 4 May 2016 at 21°6'20.92"S and 55°46'16.72"E.
Figure 2 in First record of five fish species from Réunion Island observed during the inventory of the Marine Natural Zones of Interest for Ecology, Flora and Fauna (ZNIEFF)
Figure 2. – Specimen of Fusigobius inframaculatus photographed on 8 April 2016 at 21°21'18.54"S and 55°47'31.31"E.
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.