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274 results for “baltic sea”
Figure 3 in Invasion of Eurytemora sibling species (Copepoda: Temoridae) from north America into the Baltic Sea and European Atlantic coast estuaries
Figure 3. Common view of terra tipica Eurytemora carolleeae and Eurytemora affinis (A) E. carolleeae male and (B) E. carolleeae female from Chesapeake Bay; (C) E. affinis male and (D) E. affinis female from the Elbe River.
Figure 1 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 1. Location of the sampling stations; full circles indicate sampling stations, crosses indicate numerical simulations.
Figure 10 in Population dynamics of Pseudocalanus minutus elongatus in the Gulf of Gdansk (southern Baltic Sea) - experimental and numerical results
Figure 10. Simulated annual biomass profiles of five Pseudocalanus minutus elongatus groups and total biomass (mg C m–3) at point 3 = J23 in 2007.
Supplementary material 1 from: van Deurs M, Moran NP, Schreiber Plet-Hansen K, Dinesen GE, Azour F, Carl H, Møller PR, Behrens JW (2021) Impacts of the invasive round goby (Neogobius melanostomus) on benthic invertebrate fauna: a case study from the Baltic Sea. NeoBiota 68: 19-30. https://doi.org/10.3897/neobiota.68.67340
S1. Sampling Areas (Figure S1); S2. Taxonomic Groupings S1; S3. Model Specifications (Table S2); S4. Sensitivity Analyses (Table S3, Figure S2)
FIGURES 14–21 in Mastogloia jahniae sp. nov., a new diatom (Bacillariophyceae) from the Baltic Sea coast of Sweden
FIGURES 14–21. SEM micrographs of Mastogloia jahniae sp. nov. Fig. 14. External view of the valve showing sinuous raphe branches and central area (arrowhead). Fig. 15. External view of the central area showing the elongated areolae around the central area. Fig. 16. External view of apex with hyaline area and hooked terminal raphe fissure. Fig. 17. Internal valve view showing partectal ring, siliceous ribs and partectal ducts (arrowhead). Fig. 18. Internal view showing central nodule. Fig. 19. Internal view of apex showing cleft and lacuna. Fig. 20. Partectal ring showing ornamentations and crater-like pore (arrowhead). Fig. 21. Internal view of apex showing septum. Scale bars in Figs 14–17, 5 µm, Figs 18, 20, 1 µm, Figs 19, 21, 2 µm.
FIGURES 22–25 in Mastogloia jahniae sp. nov., a new diatom (Bacillariophyceae) from the Baltic Sea coast of Sweden
FIGURES 22–25. SEM micrographs of Mastogloia jahniae sp. nov. Fig. 22. Tilted view of the external valve side showing girdle band (arrowhead). Fig. 23. Areolae structure and arrangement. Fig. 24. Internal valve side showing central nodule, raphe branches, siliceous ribs, septa and silicified costa-like interstriae. Fig. 25. Internal valve side showing silicified costa-like virgae and areola on the valve internal surface. Scale bars in Figs 22, 24, 5 µm, Figs 23, 25, 1 µm.
FIGURE 3 in New record of the rare genus Crinalium Crow (Oscillatoriales, Cyanobacteria) from sand dunes of the Baltic Sea, Germany: epitypification and emendation of Crinalium magnum Fritsch et John based on an integrative approach
FIGURE 3. Light micrographs showing an overview of living filaments of Crinalium magnum strain Hg-6-6. A, B. Irregular clusters with trichomes varying in length. C–E. Trichomes lying in two planes. F, G. Details of trichomes and terminal cells with a thickened outer margin. H–K. Fragmentation of trichomes in old cultures (6 and more months). Arrows mark the sheath. Scale bars: 10 µm
FIGURE 5 in New record of the rare genus Crinalium Crow (Oscillatoriales, Cyanobacteria) from sand dunes of the Baltic Sea, Germany: epitypification and emendation of Crinalium magnum Fritsch et John based on an integrative approach
FIGURE 5. Ultrastructure of C. magnum strain Hg-6-6. A. Longitudinal section of the trichome showing its general organization. B, D–F. Portions of filaments showing typical arrangement of helically twisted, swirl-like thylakoids and cell inclusions. C. Junctional pores (arrows) closely associated with the cross walls. Cx, carboxysomes; Cy, cyanophycin granules. Scale bars: 1 µm
FIGURE 4 in New record of the rare genus Crinalium Crow (Oscillatoriales, Cyanobacteria) from sand dunes of the Baltic Sea, Germany: epitypification and emendation of Crinalium magnum Fritsch et John based on an integrative approach
FIGURE 4. Staining of mucilage envelope of Crinalium magnum Hg-6-6. A–C. Staining with drawing ink showed difluent mucilage envelope. D–I. Staining with methylene blue showed striated structure of mucilage. E. Separate cells in lateral position with mucous microfibriles radiated from the cell wall. H, I Trichome in optical section (H) and in surface view (I) with increased portion showed mucous microfibrils arranged by rows along cross cell walls. Scale bars: 10 µm
FIGURE 2 in New record of the rare genus Crinalium Crow (Oscillatoriales, Cyanobacteria) from sand dunes of the Baltic Sea, Germany: epitypification and emendation of Crinalium magnum Fritsch et John based on an integrative approach
FIGURE 2. Secondary structure of the main informative helices of region 16S-23S ITS of cultured strains of Hormoscilla and Crinalium. All differences between strains are presented in comparison with authentic strain of H. pringsheimii (SAG 1407-1). Variable bases are shown with arrows, places of insertions/deletions of base pairs are marked with arrowheads, homological base pairs among different strains are indicated with dotted lines.
Temperature Data for the Baltic Sea for the period 1000 - 1009
<p>Dataset with julian calendar. Xarray needs to use cftime to read the time axis correctly.</p>
Parasite communities of fishes from Northeastern Baltic Sea (data in Valtonen et al., 2001)
<p>Data on the parasite communities from 27 out of 31 sympatric host species from the Northeastern Bothnian Bay, Baltic Sea, originally used in</p> <p>Valtonen, E. T., K. Pulkkinen, R. Poulin, and M. Julkunen. 2001. The structure of parasite component communities in brackish water fishes of the northeastern Baltic Sea. Parasitology 122:471–481.</p> <p> </p> <p>Freshwater data was additionally used in one of the Natural antagonistic communities. These data also comprise 22 host individual-level datasets analysed in the Host sampling completeness gradient in</p> <p>Llopis‐Belenguer, C., J. A. Balbuena, I. Blasco‐Costa, A. Karvonen, V. Sarabeev, and J. Jokela. 2022. Sensitivity of bipartite network analyses to incomplete sampling and taxonomic uncertainty. Ecology</p> <p> </p> <p>Abbreviations:</p> <ul> <li>no: host number</li> <li>month: month of the sampling</li> <li>year: sampling place; 77: 1977; 78: 1978; 79: 1979</li> <li>place: sampling place</li> <li>length: fish body length</li> <li>weight: fish body weight</li> <li>sex: host sex; 1: male; 2: female</li> <li>degree: maturation stage</li> <li>hsp: host species</li> </ul> <p> </p> <p>Host species abbreviations:</p> <ul> <li>abra: Abramis brama</li> <li>aalb: Alburnus alburnus</li> <li>ccar: Carassius carassius</li> <li>char: Clupea harengus</li> <li>calb: Coregonus albula</li> <li>clav: Coregonus lavaretus lavaretus</li> <li>cwid: Coregonus lavaretus widegreni</li> <li>eluc: Esox Lucius</li> <li>gmor: Gadus morhua</li> <li>gacu: Gasterosteus aculeatus</li> <li>gcer: Gymnocephalus cernuus</li> <li>lflu: Lampetra fluviatilis</li> <li>lidu: Leuciscus idus</li> <li>lleu: Leuciscus leuciscus</li> <li>llip: Liparis liparis</li> <li>llot: Lota lota</li> <li>msco: Myoxocephalus scorpius</li> <li>oesp: Osmerus eperlanus</li> <li>pflu: Perca fluviatilis</li> <li>ppho: Phoxinus phoxinus</li> <li>pfle: Platichthys fesus</li> <li>pmin: Pomatoschistus minutus</li> <li>ppun: Pungitius pungitius</li> <li>rrut: Rutilus rutilus</li> <li>ssal: Salmo salar</li> <li>stru: Salmo trutta</li> <li>zviv: Zoarches viviparus</li> </ul> <p> </p> <p>Parasite species abbreviations:</p> <ul> <li>aangu: Acanthocephalus anguillae</li> <li>afoli: Argulus foliaceus</li> <li>aisos: Allocreadium isosporum</li> <li>aluci: Acanthocephalus lucii</li> <li>aperc: Achtheres percarum</li> <li>azluc: Azygia lucii</li> <li>bluci: Bunodera luciopercae</li> <li>cfari: Cystidicola farionis</li> <li>cfenn: Caryophyllaeides fennica</li> <li>clacu: Camallanus lacustris</li> <li>cmam: Cystobranchus mammilatus</li> <li>coscu: Contracaecum osculatum</li> <li>cseme: Corynosoma semerme</li> <li>cstru: Corynosoma strumosum</li> <li>ddend: Diphyllobothrium dendriticum</li> <li>dditr: Diphyllobothrium ditremum</li> <li>desmsp: Desmidocercella sp</li> <li>diphsp: Diphyllobothrium sp in Clupea harengus</li> <li>dlatu: Diphyllobothrium latum</li> <li>dsagi: Discocotyle sagittata</li> <li>dspat: Diplostomum spathaceum</li> <li>ebore: Echinorhynchus borealis</li> <li>eboth: Echinorhynchus bothniensis</li> <li>ecras: Eubothrium crassum</li> <li>egadi: Echinorhynchus gadi</li> <li>erugo: Eubothrium rugosum</li> <li>esalm: Echinorhynchus salmonis</li> <li>esieb: Ergasilus sieboldi</li> <li>eubospp: Juvenile stages of Eubothrium from Zoarches viviparus that could not be identified to the species level</li> <li>eubsp: Juvenile stages of Eubothrium from Gadus morhua and Clupea harengus that could not be identified to the species level</li> <li>eubspp: Juvenile stages of Eubothrium from Gasterosteus aculeatus, Gymnocephalus cernuus and Pungitius pungitius that could not be identified to the species level</li> <li>eustsp: Eustrongylides mergorum</li> <li>gloch: Anodonta piscinalis</li> <li>hadun: Hysterothylacium aduncum</li> <li>hauct: Hysterothylacium auctum</li> <li>hovip: Henneguya oviperda (Myxosporidia)</li> <li>hzsch: Henneguya zschokke (Valtonen et al 1988) (Myxosporidia)</li> <li>ichtsp: Ichthyocotylurus erraticus from Pungitius pungitius</li> <li>ierra: Ichthyocotylurus erraticus</li> <li>ivari: Ichthyocotylurus variegatus</li> <li>kross: Khawia rossitensis</li> <li>lcypr: Lernaea cyprinacea</li> <li>nemat: Nematoda from Lampetra fluviatilis</li> <li>nematsp: Nematoda from Leuciscus leuciscus and Perca fluviatilis</li> <li>nematsuo: Nematoda from Gadus morhua and Salmo trutta</li> <li>nruti: Neoechinorhynchus rutili</li> <li>pcern: Proteocephalus cernuae</li> <li>pexig: Proteocephalus exiguus</li> <li>pfili: Proteocephalus filicollis</li> <li>pgeom: Piscicola geometra</li> <li>phomo: Phyllodistomum homoion</li> <li>plong: Proteocephalus longicollis</li> <li>pperc: Proteocephalus percae</li> <li>prospp: Proteocephalus sp</li> <li>protsp: Proteocephalus gobiorum</li> <li>psalv: Pseudocapillaria salvelini</li> <li>pseusp: Pseudocapillaria sp</li> <li>ptoru: Proteocephalus torulosus</li> <li>racus: Raphidascaris acus</li> <li>score: Salmincola coregonorum</li> <li>sexte: Salmincola extensus</li> <li>sglob: Sphaerostoma globiporum</li> <li>spung: Schistocephalus pungitii</li> <li>ssoli: Schistocephalus solidus</li> <li>tclav: Tylodelphys clavata</li> <li>tcras: Triaenophorus crassus</li> <li>tgast: Thersitina gasterostei</li> <li>tnodu: Triaenophorus nodulosus</li> <li>ttrut: Truttaedacnitis truttae</li> </ul>
MERIS FRS L2 CDOM absorption monthly climatology Western Baltic Sea
<p>MERIS FRS L2 (full resolution level 2) product from 2003 to 2012 was used to create a monthly climatology of CDOM absorption for the Western Baltic Sea region. The MERIS FRS L2 product was processed with the C2RCC algorithm (Doerffer and Schiller, 2007) which has been trained with data-sets from European coastal waters. Full details of the post processing of the MERIS data into a climatology can be found in Röhrenbach (Bachelor Thesis, 2019). A monthly climatology for the complete time frame of the MERIS archive was created and includes the mean value, standard deviation and number of observations for each point.</p>
Data for: Higher abundance of adult pike in Baltic Sea coastal areas adjacent to restored wetlands compared to reference bays
<p><span>The abundance of pike, a keystone top-predator, has declined dramatically in the Baltic Sea since the 1990s likely owing to recruitment failure. It has been proposed that wetland restoration can aid the recovery of the pike stock by increasing the number of recruits produced by anadromous populations. Yet, no previous studies have addressed whether wetland restorations are associated with higher abundances of adult pike in the coastal habitat. To address this, we performed standardised rod-and-reel survey fishing in paired bays with and without wetlands across three coastal areas and three years. To estimate dispersal and the contribution of wetland pike to the coastal stock, we tagged captured pike with passive integrated responders (PIT) and employed PIT-reader stations in wetland inlets. The results showed that pike abundances were on average 90% higher in bays with an adjacent wetland although the effect varied among areas. Moreover, PIT-data uncovered that wetland pike constituted a high proportion of the pike found in adjacent coastal habitats and that some wetland fish dispersed up to 10 km. These results support that wetland restoration is a valuable tool to aid the coastal pike stock and ultimately restore the function and services of the coastal ecosystem.</span></p>
Seasonality and strain specificity drive rapid co-evolution in a Ostreococcus-virus system from the Western Baltic Sea
<p>Marine viruses are a major driver of phytoplankton mortality and thereby influence biogeochemical cycling of carbon and other nutrients. Phytoplankton-targeting viruses are important components of ecosystem dynamics, but broad-scale experimental investigations of host-virus interactions remain scarce. Here, we investigated in detail a picophytoplankton (size 1 µm) host’s responses to infections by species-specific viruses from distinct geographical regions and different sampling seasons. Specifically, we used <em>Ostreococcus tauri </em>and<em> O. mediterraneus</em> and their viruses (size ca. 100 nm). <em>Ostreococcus</em> sp. are globally distributed and, like other picoplankton species, play an important role in coastal ecosystems at certain times of the year. Further,<em> Ostreococcus</em> sp. are model organisms, and the <em>Ostreococcus</em>-virus system is well-known in marine biology. However, only few studies have researched its evolutionary biology and the implications thereof for ecosystem dynamics. The <em>Ostreococcus</em> strains used here stem from different regions of the Southwestern Baltic Sea that vary in salinity and temperature and were obtained during several cruises spanning different sampling seasons. Using an experimental cross-infection set-up, we explicitly confirm species and strain specificity in <em>Ostreococcus</em> sp. from the Baltic Sea. Moreover, we found the timing of virus-host co-existence, was driver of infection patterns as well. In combination, these findings prove that host-virus co-evolution can be rapid in natural systems.</p>
Fig. 5 in Seasonal variation of phenolic compounds in Zostera marina (Zosteraceae) from the Baltic Sea
Fig. 5. Amounts of individual flavonoids A), total flavonoids B), total phenolic acids C) and total phenolics D) in leaves of Zostera. Marina.
Fig. 4 in Seasonal variation of phenolic compounds in Zostera marina (Zosteraceae) from the Baltic Sea
Fig. 4. Chemical structure and HMBC key correlations of the methanolysis derivative 22 of 7′′,8′′ -didehydrosalvianolic acid B.
Fig. 1 in Seasonal variation of phenolic compounds in Zostera marina (Zosteraceae) from the Baltic Sea
Fig. 1. HPLC profile of crude water-methanol (1:1) leaf extracts of Zostera marina collected in Kiel coast. Compound numbers correspond to compounds in Fig. 2. Column: Phenomenex Luna Omega C18, 1.6 μm, 100 × 2.1 mm column; mobile phase A: 0.5% trifluoroacetic acid in water; mobile phase B: 100% acetonitrile; linear gradient: 0 min 10% B, 25 min 20% B, 40 min 50% B, 40.1 min 10% B, 55 min 10% B, stop; flow rate: 0.200 ml/min; injection volume: 5 μl; oven temperature: 30 ◦ C.
Fig. 6 in Seasonal variation of phenolic compounds in Zostera marina (Zosteraceae) from the Baltic Sea
Fig. 6. Relative content (%) of flavonoids A) and phenolic acids B) detected for each sampling period.
Fig. 2 in Seasonal variation of phenolic compounds in Zostera marina (Zosteraceae) from the Baltic Sea
Fig. 2. Structures of the flavonoids found in Zostera species. 1, apigenin; 2, apigenin 7-O-sulfate; 3, apigenin 7-O-glucoside; 4, apigenin 7-O-(6′′ -malonyl) glucoside; 5, luteolin; 6, luteolin 3′-O-sulfate; 7, luteolin 7-O-glucoside; 8, luteolin 7-O-(6′′ -malonyl) glucoside; 9, luteolin 7-O-sulfate; 10, luteolin 7,3′-O-disulfate; 11, diosmetin; 12, chrysoeriol; 13, diosmetin 3′-O-sulfate; 14, diosmetin 7-O-(6′′ -malonyl) glucoside; 15, diosmetin 7-O-sulfate; 16, chrysoeriol 7-O-sulfate; 17, diosmetin 7,3′-O-disulfate; 18, zosteric acid; 19, caffeic acid; 20, rosmarinic acid; 21, 7′′,8′′ -didehydrosalvianolic acid B.
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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.