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1,579 results for “Baltics”
Figure 6 in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 6. Photomicrographs of Chelonarium dingansich Alekseev and Bukejs sp. nov., holotype, 6696 [MAIG], habitus: (a) dorsal view, (b) ventral view and (c) left lateral view. Scale bar = 1.0 mm.
Figure 3. X in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 3. X-ray micro-CT renderings of Chelonarium andabata Alekseev and Bukejs sp. nov., holotype, RSKM_P3000.141 [RSKM], habitus: (a) ventral view without legs, showing depressions for legs reception; (b) ventral view with antennae and legs in different colours; (c) frontal view; and (d) caudal view. Scale bar = 1.0 mm.
Figure 4 in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 4. Antennae of Chelonarium andabata Alekseev and Bukejs sp. nov., holotype, RSKM_P3000.141 [RSKM]: (a) X-ray micro-CT rendering and (b) reconstruction. Abbreviations: a1–a11 – antennomeres 1–11 respectively.
Figure 2. X in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 2. X-ray micro-CT renderings of Chelonarium andabata Alekseev and Bukejs sp. nov., holotype, RSKM_P3000.141 [RSKM], habitus: (a) dorsal view, (b) ventral view and (c) left lateral view. Scale bar = 1.0 mm.
Figure 7. X in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 7. X-ray micro-CT renderings of Chelonarium dingansich Alekseev and Bukejs sp. nov., holotype, 6696 [MAIG], habitus: (a) dorsal view, (b) ventral view and (c) right lateral view. Scale bar = 1.0 mm.
Figure 5. X in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 5. X-ray micro-CT renderings of Chelonarium andabata Alekseev and Bukejs sp. nov., holotype, RSKM_P3000.141 [RSKM], aedeagus: (a) dorsal view, (b) lateral view and (c) ventral view. Scale bar = 0.1 mm.
Figure 1 in The first described turtle beetles from Eocene Baltic amber, with notes on fossil Chelonariidae (Coleoptera: Byrrhoidea)
Figure 1. Photomicrographs of Chelonarium andabata Alekseev and Bukejs sp. nov., holotype, RSKM_P3000.141 [RSKM]: (a) ventral habitus view; (b) right lateral habitus view; (c) detail of head with antenna (horizontal arrow) and protarsi (inclined arrows) in ventral view; and (d) detail of legs in ventral view with pro-, meso-, and metatarsus indicated by horizontal arrows (from top to bottom of view). Scale bars = 1.0 mm.
Figure 1 in Groehnius, a new genus of Eugnomini (Coleoptera: Curculionidae) from Eocene Baltic amber
Figure 1. Groehnius electrum gen. et sp. nov., holotype: (a) habitus, dorsal view; (b) habitus, ventrolateral view. Scale bar = 1 mm.
Figure 2 in Groehnius, a new genus of Eugnomini (Coleoptera: Curculionidae) from Eocene Baltic amber
Figure 2. Groehnius electrum gen. et sp. nov., holotype: (a) details of fore-body, dorsal view; (b) details of fore-body, ventrolateral view. Scale bar = 0.5 mm.
Genotypes for ancient Baltic sheep
<p>Pseudohaploid genotype calls for five ancient sheep genomes from the Baltic Sea region.</p> <p>WGS -- SNP calls at polymorphic sites ascertained from WGS data of wild sheep relatives, coordinates correspond to Oar4.0.</p> <p>SNPCHP -- SNP calls at polymorphic sites from the Illumina Ovine Infinium® HD 600K chip, coordinates correspond to Oar3.1</p> <p>Description on data preparation and genotype calling can be found in our article.</p> <p> </p>
Figure 1 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study
Figure 1: Map of sampling sites in Northern Germany. Insets (a–c) provide higher resolution. Sampling areas: 1 – Glücksburg; 2 – Glücksburg Estuary; 3 – Bockholmwik; 4 – Neukirchen; 5 – Norgaardholz; 6 – Falshoft; 7 – Maasholm, Schlei; 8 – SchÖnhagen; 9 – Fischleger; 10 – Karlsminde; 11 – EckernfÖrde, port; 12 – EckernfÖrde, Kiekut; 13 – Aschau, sea; 14 – Aschau, lagoon; 15 – Kiel-Bülk; 16 – Kiel-Schilksee, marina; 17 – Kiel-Friedrichsort; 18 – Kiel-Holtenau, Tonnenhof; 19 – Kiel-Düsternbrook; 20 – Kiel-MÖnkeberg; 21 – Kiel-Heikendorf, Hafen; 22 – Kiel-Laboe; 23 – Kiel-Marina Wendtorf; 24 – Kiel-Brasilien; 25 – Hohwacht; 26 – Weissenhäuser Strand; 27 – Heiligenhafen, sea; 28 – Heiligenhafen, Binnensee; 29 – Heiligenhafen, marina; 30 – Grossenbroderfahre; 31 – Strukkamphuk, Fehmarn; 32 – Westerberg, Fehmarn; 33 – Flügge, Orther Bucht, Fehmarn; 34 – Gruner Brink, Fehmarn; 35 – Burgtiefe, Fehmarn; 36 – Burger Binnensee, Fehmarn; 37 – Wulfen, Fehmarn; 38 – Marina Grossenbrode; 39 – Süssau; 40 – Kellenhusen; 41 – Neustadt, Binnenwasser; 42 – Brodtener Ufer; 43 – Rosenhagen; 44 – Steinbeck; 45 – Boltenhagen; 46 – Wohlenberg; 47 – Hohen-Wieschendorf; 48 – Zierow; 49 – Redentin; 50 – Bridge to Poel, S side; 51 – Bridge to Poel, N side; 52 – Kirchdorf; 53 – Timmendorf, Poel; 54 – Gollwitz, Poel.
Figure 4 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study
Figure 4: Number of species from different phytogeographical elements in each macrophyte community of the SW Baltic Sea. Phytogeographical elements are indicated in accordance with Cormaci et al. (1982), supplemented by data from Zinova (1962) and Kalugina-Gutnik (1975): C – Cosmopolitan, SC – Sub-cosmopolitan, AP – Atlanto-Pacific, IP – Indo-Pacific, CB – Circumboreal, IA – Indo-Atlantic, Abt – Boreo-tropical Atlantic, CT – Circumtropical, Ab – Boreo-Atlantic, Aba – Boreo-Arctic Atlantic, Pb – Boreo-Pacific.
Figure 3 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study
Figure 3: Distribution of the macrophyte communities of the SW Baltic Sea in habitats with different exposure. The y-axis shows the proportion of habitats with different exposure grades in which the different communities were found.
Figure 2 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study
Figure 2: Maximum likelihood phylogram based on tufA sequence data, showing the phylogenetic relationships of 12 Ulvales samples from the Baltic Sea (bold) identified in this study. Numbers after species names indicate collection sites (see Figure 1). Numbers below branches are bootstrap values; poorly supported nodes (>0.70) are not labelled. Branch lengths are proportional to sequence divergence.
Figure 5 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 5: Different views of macroalgal blooms on German Baltic Sea coasts. (A) Beach wrack dominated by Ceramium virgatum, Hohwacht, 16.8.2012 (Photo © F. Weinberger). (B) Mat of Pylaiella littoralis covering a meadow of eelgrass, Mönckeberg, 15.5.2013 (Photo © C. Lieberum). (C) Beach wrack dominated by Cladophora sp., Stein, 12.4.2014 (Photo © M. Hammann). (D) Beach wrack composed of various red algae and eelgrass, Neukirchen, 30.4.2012 (Photo © F. Weinberger).
Figure 3 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 3: Boxplot showing number of Fucus vesiculosus juveniles per dm2 surviving from mid-July to early November, 1994 in Askö. Treatments in (A) "Manipulated Fucus" without understorey (diagonal stripes) and "Natural Fucus (control)" with understorey (white) and (B) "Cladophora-covered substratum" (chequered) and "Cleaned substratum" cleared from both Fucus and understorey vegetation (vertical stripes). Note major difference in scales for y-axes in each panel. n = 6 for all treatments. *indicates significant difference in density of juveniles between two treatments at one date (p <0.05). One-way ANOVA of treatments at each date showed a higher number of juveniles in treatments containing Fucus (i.e. Figure 3A) on all dates compared to treatments without Fucus (i.e. Figure 3B; p <0.001).
Figure 1 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 1: Maps showing areas and sites for field experiments presented in this paper. (A) Map of the Baltic Sea showing areas 1–5. (B) Area 1 with Sites A–G outside Trosa town (black) and Area 2 with control Site H near Askö laboratory on Askö island. (C) Area 5 with Sites I–J in Gdansk Bay.
Figure 2 in Fucus vesiculosus adapted to a life in the Baltic Sea: impacts on recruitment, growth, re-establishment and restoration
Figure 2: Fucus vesiculosus increase in size over time during 4 years. Fucus vesiculosus: volume (calculated as a cone from thallus height and circumference) plotted against biomass (g dry weight) with linear regression for (A) 1-year-old, (B) 2-year-old, (C) 3-year-old and (D) 4-year-old thalli grown in the field at Askö during 1991–1994.
Figure 4 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 4: Interannual variation (2006–2017) of the share of Furcellaria lumbricalis and Coccotylus truncatus in the loose-lying red algal community biomass (BM) in the Kassari Bay, West Estonian Archipelago Sea. Compiled results of annual monitorings 2006–2017; database of the Estonian Marine Institute.
Figure 1 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts
Figure 1: Types of coastlines, annual average sea surface salinities, and species numbers of algal macrophytes that have been recorded in different sea areas of the Baltic Sea and the German and Danish North Sea. Modified from Rönnbäck et al. (2007); species numbers are from HELCOM (2012) for the Baltic Sea and from Schories et al. (2009a,b) for the North Sea.
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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)
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.