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274 results for “baltic sea”
FIGURE 7 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 7. Heterolepidoderma joermungandri Kånneby, 2011. Specimen with mature egg. A—Dorsal view, B—View of internal morphology, C—Ventral view.
FIGURE 8 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 8. Heterolepidoderma joermungandri Kånneby, 2011. Juvenile specimen—habitus. A—Dorsal view, B—View of internal morphology.
FIGURE 5 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 5. Heterolepidoderma joermungandri Kånneby, 2011. Adult specimen. A—Dorsal view, B—View of internal morphology, C—Ventral view.
FIGURE 2 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 2. Baltic Sea with points marking stations where Heterolepidoderma joermungandri Kånneby, 2011 was found. 1—locus typicus, island Skarvesäter; 2—Puck Bay.
FIGURE 1 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 1. Selected areas of the Polish Baltic Sea with localisation of the sampling sites (1–41). Kisielewski 1975—Sites: 1–5, 7–14, 16, 17, 22, 26, 30, 31. Hummon 2008—Site 2. Kolicka & Zawierucha 2012—Site 6. Present study—Sites: 10, 11, 18–20, 25, 27–29. Roszczak 1939 - Sites: 12, 13, 15–17, 21–25. Radziejewska unpublished data - Sites: 32–41.
FIGURE 12. Turbanella hyalina Schultze, 1853. A in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 12. Turbanella hyalina Schultze, 1853. A—Juvenile specimen, B—Subadult specimen, C—Adult specimen.
FIGURE 9 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 9. Heterolepidoderma joermungandri Kånneby, 2011. Juvenile specimen. A—Dorsal view, B—View of internal morphology, C—Ventral view.
FIGURE 6 in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 6. Heterolepidoderma joermungandri Kånneby, 2011. Specimen with mature egg—habitus. A—Dorsal view, B—View of internal morphology.
FIGURE 14. Turbanella hyalina Schultze, 1853. A in Checklist of Gastrotricha of the Polish Baltic Sea with the first reports of Heterolepidoderma joermungandri Kånneby, 2011, and Turbanella hyalina Schultze, 1853
FIGURE 14. Turbanella hyalina Schultze, 1853. A—Pharynx, B, C—Posterior body region with visible epidermal glands.
Contaminants of emerging concern in an endangered population of common eiders (Somateria mollissima) in the Baltic Sea
<p>Dataset on contaminants of emerging concern in blood plasma from female common eiders (<em>Somateria mollissima</em>) sampled during the breeding season 2021, in Finland. </p> <p>The dataset will be made open access once the manuscript has been accepted for publication. </p>
Baltic Sea Ice Dataset
<div> <div> <div> <p>The "Baltic Sea Ice Dataset" encompasses a comprehensive collection of visible and infrared images, and their labels, along with GNSS trajectory for Sampo ship, gathered from multiple data collection campaigns conducted in icy waters around Finland during February and March of 2021 and 2022. The dataset captures diverse sea ice conditions and navigational scenarios from four distinct locations in the Baltic Sea, including the Gulf of Finland on the Tallinn-Helsinki route, near Helsinki across the Katajanokka-Suomenlinna route, from the Sampo icebreaker tour at Kemi, and a ferry route across Hailuoto-Oulu. Images were obtained using a variety of equipment, including FLIR Blackfly visible range cameras, Nikon DSLR 3300, smartphones, and a Raymarine FLIR M232 thermal infrared camera, ensuring a diverse dataset for the development of situational awareness systems for autonomous navigation in icy waters. A subset of this dataset has been labeled with 13 classes to include several ice types, such as level ice, ice-tracks, re-frozen ice-tracks, and brash ice, aiding in the training and evaluation of state-of-the-art deep learning models for ice detection and navigation.</p> </div> </div> </div> <p><br><br>Provided .zip files contains sea ice images collected from ice waters across Finland.<br><br>This was conducted as a part of ESA funded NAVISP project named ENHANCE.<br>https://activities.esa.int/4000131018<br><br></p>
Projections of spatial distributions of suitable environmental conditions for key Baltic Sea zooplankton species - Data
<p>This repository contains seven occurrences dataset which represent the station where the species have been identified, ranging from 2000 to 2020. The environmental projections for the period 2010-2020, as well as future projection on two horizons: from 2040 to 2050 and from 2090 to 2100 on two different scenarios: SSP245 and SSP585. The occurrences have been exctracted from OBIS (https://obis.org) and the environmental projections from Bio-ORACLE (https://bio-oracle.org).</p> <p> </p> <p>Occurrences datasets: </p> <ul> <li><em>Temora longicornis</em></li> <li><em>Centropages hamatus</em></li> <li><em>Limnocalanus macrurus macrurus</em></li> <li><em>Evadne nordmanni</em></li> <li><em>Acartia tonsa</em></li> <li><em>Acartia longiremis</em></li> <li><em>Acartia bifilosa</em></li> </ul> <p> </p> <p>Projections:</p> <ul> <li>Projection Baseline 2010-2020</li> <li>Projection 2040-2050 SSP245</li> <li>Projection 2090-2100 SSP245</li> <li>Projection 2040-2050 SSP585</li> <li>Projection 2090-2100 SSP585</li> </ul> <p> </p> <p> </p> <p> </p>
FIGURES 1–6 in Three new chrysophycean stomatocysts with long spines from the Gulf of Finland, Baltic Sea
FIGURES 1–6. Morphology of stomatocysts 3 and 4 observed in SEM. Figs. 1–3. Stomatocyst 3. Fig. 1. General view. Figs. 2, 3. Closeup view. Fig. 2. Tilted specimen. Figs. 4–6. Stomatocyst 4. Fig. 4. Close-up view of distal part of the spine. Fig. 5. General view. Fig. 6. Close-up view.
FIGURES 7, 8 in Three new chrysophycean stomatocysts with long spines from the Gulf of Finland, Baltic Sea
FIGURES 7, 8. Morphology of stomatocyst 5 observed in SEM. Fig. 7. General view. Fig. 8. Close-up view.
FIGURE 5 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 5. Timaviella dunensis (Us-6-3): A—overview of colony on the surface of agarized medium: thallus prostrate and in growing inside the medium; B, K—filaments in firm hyaline sheath; C—trichome without sheath; D—fragment of trichome with necridia; note elongated, discoid and obliquely dividing cells; E, G—loosely arranged filaments with geminate false branching; F—consecutive single and geminate false branching; H, I—fragments of filaments with trichomes twisted in the sheath; J—formation of hormogonia, cells with granulations. Scale bars: A—50 μm, B–K—10 μm.
FIGURE 2 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 2. Molecular phylogeny of Timaviella based on the 16S rRNA gene concatenated with the 16S-23S ITS sequence comparisons. A phylogenetic tree was inferred by the Maximum Likelihood method with Maximum Likelihood bootstrap support (BP) and Bayesian Posterior Probabilities (PP). From left to right, support values correspond to Maximum Likelihood BP and Bayesian PP; BP values lower than 50% and PP lower than 0.8 not shown. Strain in bold represents newly sequenced cyanobacteria. Authentic strains marked with asterisk.
FIGURE 3 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 3. Secondary structure of the main informative helices of region 16S-23S ITS of cultured strains of Timaviella. All differences between strains of T. edaphica (KZ-7-1) and T. dunensis (Us-6-3) are presented in comparison with the authentic strain of T. circinata (GR4). 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 gray lines. Intraspecific variation inside T. edaphica are shown with the asterisk.
FIGURE 1 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 1. Molecular phylogeny of Oculatellaceae (Synechococcales) based on 16S rRNA sequence comparisons. A phylogenetic tree was inferred by the Maximum Likelihood method with Maximum Likelihood bootstrap support (BP) and Bayesian Posterior Probabilities (PP). From left to right, support values correspond to Maximum Likelihood BP and Bayesian PP; BP values lower than 50% and PP lower than 0.8 not shown. Strain in bold represents newly sequenced cyanobacteria. Authentic strains marked with asterisk.
FIGURE 6 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 6. Ultrastructure of original strains of Timaviella with characteristic position of thylakoids arranged more or less parallel in a parietal position. T. edaphica (KZ 7-1-2): fragments of trichomes without sheath (A), in multilayered sheath (B), constricted at cross walls, with cyanophycin granules; cells barrel-shaped, isodiametric (A) to elongated (G), end cells (D), trichomes in longitudinal section (E). T. edaphica (KZ 23-2): end cells (C), trichomes in longitudinal section (F). Timaviella dunensis (Us-6-3): fragments of trichomes in thick sheath (H, I), weakly constricted at cross walls; cells cylindrical, elongated, end cells (J–L); formation of necridia (M). S, sheath, Cy, cyanophycin granules, T, thylakoids. Scale bars = 1µm.
FIGURE 4 in Timaviella dunensis sp. nov. from sand dunes of the Baltic Sea, Germany, and emendation of Timaviella edaphica (Elenkin) O.M. Vynogr. & Mikhailyuk (Synechococcales, Cyanobacteria) based on an integrative approach
FIGURE 4. Timaviella edaphica: A, B—overview of colonies on the surface of agarized medium (A—thallus with wooly surface (freshly isolated strain), B—thallus prostrate and in growing inside the medium); C—loosy aggregated filaments; F, H—filaments with single and geminate pseudobranches; D—bundle of filaments; E—trichomes slightly constricted and granulated at the cross walls; G—trichomes with obliquely dividing cells; I—trichomes with necridia; J—hormogonia. KZ-7-1-2: A–C, D–E, J, Golos-9-1: F, G, KZ-23-2: H, I. Scale bars: A, B—50 μm, C–J—10 μm.
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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.