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FIG. 2 in Fifty shades of white: morphological and molecular diversity of the Cadlina laevis species complex (Gastropoda: Nudibranchia) in the North-West Pacific
FIG. 2. Maximum Likelihood phylogenetic tree based on the COI-based dataset, species-level clades and outgroups are collapsed to a single branch, except representatives of the Cadlina laevis species complex. Specimens studied in this work are highlighted in bold. Numbers above branches indicate posterior probabilities from Bayesian inference, numbers bellow branches show bootstrap supports from Maximum likelihood analysis. Blocks on the right indicate species delimitation results, number refers to respective operational taxonomical unit. Respective photographs of studied specimens are given on the right. РИС. 2. Филогенетическое дерево, построенное методом максимального правдоподобиЯ, основанное на выравнивании по гену COI, клады и внешние группы на уровне вида сколлапсированы в одну ветвь, За исключением представителей видового комплекса Cadlina laevis. ОбраЗцы, иЗученные в данной работе, выделены Жирным шрифтом. Числа над ветвЯми обоЗначают апостериорные вероЯтности байесовского аналиЗа, числа под ветвЯми покаЗывают бутстрепподдерЖку аналиЗа максимального правдоподобиЯ. Блоки справа обоЗначают реЗультаты тестов на определение видовых границ, номер относитсЯ к соответствуюЩей оперативной таксономической единице. Справа приведены фотографии иЗученных ЭкЗемплЯров.
FIG. 1 in Fifty shades of white: morphological and molecular diversity of the Cadlina laevis species complex (Gastropoda: Nudibranchia) in the North-West Pacific
FIG. 1. Map of the North-West Pacific and Russian Arctic representing collection sites and type localities of described species of the Cadlina laevis species complex. РИС. 1. Карта Северо-Западной части Тихого океана и Российской Арктики, с укаЗанием точек сбора и типовых местонахоЖдений описанных видов иЗ комплекса Cadlina laevis.
Table 1 in A new fossil Euspira? (Mollusca: Gastropoda: Naticidae) from the Gubik Formation on the North Slope of Arctic Alaska
<p><b>Table 1.</b> Correction of Pliocene and Pleistocene marine transgressions of western and northern Alaska (after Marincovich and Powell, 1991).</p><table><tbody><tr><th><b>Age</b> (Hopkins 1965, 1967, Carter et al. 1986)</th><th><b>Bering Sea</b> (Kaufman et al. 1989, Hopkins, written common., 1990 in Marincovich and Powell 1991)</th><th><b>Western and northern Alaska</b> (Brouwers et al. 1984)</th><th><b>Skull Cliff (northwest Alaskan coast)</b> (Brigham 1985, these units are all informal)</th><th><b>Arctic Coastal Plain</b> (Carter et al. 1986)</th></tr></tbody><tbody><tr><th><b><4 ka</b></th><td>Krusensternian</td><td>Flandrian</td><td>—</td><td>Flandrian</td></tr><tr><th><b>circa. 25 ka</b></th><td>—</td><td>—</td><td>—</td><td>Middle Wisconsin</td></tr><tr><th><b>90–105 ka</b></th><td>—</td><td>Flaxsman Fm.</td><td>—</td><td>Simpsonian</td></tr><tr><th><b>120–130 ka</b></th><td>Pelukian</td><td>Pelukian</td><td>Walakpa beds</td><td>Pelukian</td></tr><tr><th><b>circa. 500 ka</b></th><td>Anvilian</td><td>Kotzebuan</td><td>Karmuk beds</td><td>Wainwrightian</td></tr><tr><th><b>>1.5 Ma, <2.4 Ma</b></th><td>Beringian III</td><td>Fishcreekian</td><td>Tuapaktushak beds</td><td>Fishcreekian</td></tr><tr><th><b>>2.4 Ma</b></th><td>Beringian II</td><td>Anvilian</td><td>Killi Creek beds</td><td>Bigbendian</td></tr><tr><th><b><3.5 Ma</b></th><td>Beringian I</td><td>Beringian</td><td>Nulavik beds</td><td>Colvillian</td></tr></tbody></table>
Seasonal orographic effect of North American Mountain Range at different levels and its remote control on tropical climate
<p><a name="OLE_LINK36"></a><a name="OLE_LINK37"></a><a name="OLE_LINK81"></a><a name="OLE_LINK6"></a><span><span><span><span>Orography significantly influences global climate patterns. </span></span></span></span><a name="OLE_LINK32"></a><a name="OLE_LINK33"></a><span><span><span><span><span><span>Previous studies show the North American Mountain Range (NAMR) impacts regional climates seasonally but have not thoroughly illustrated the seasonally different atmospheric responses in the lower and upper troposphere, respectively. </span></span></span></span></span></span><span><span><span><span><span>Using the Community Earth System Model version 1.2 with a slab ocean configuration, we investigate the NAMR’s seasonal impacts by simulating scenarios with and without the mountain range. Our findings reveal that the NAMR induces contrasting responses in sea surface temperature (SST) and precipitation off California in different seasons, indicating different underlying mechanisms. Through analysis of large-scale circulation and local energy budgets, we find that in summer, the NAMR reinforces the North Pacific High causing SST cooling and drying off California. This cooling propagates to the equatorial Pacific via anomalous northeasterlies, influencing the Intertropical Convergence Zone and initiating a climatic signal through the Pacific Meridional Mode, which crosses the equator and affects Southern Hemisphere temperatures. In winter, the NAMR reduces wind speed and evaporation, leading to SST warming off California, amplified by SST-cloud feedback. In the upper troposphere, we observe seasonal shifts in jet stream patterns: during winter, a weakened, equatorward-shifted jet over the Pacific and a strengthened, poleward-shifted branch over the Atlantic; in summer, the jet stream intensifies over and downstream of the mountains while weakening upstream. Our research highlights distinct seasonal mechanisms by which the NAMR influence climate patterns, linking mid-latitude climate variations to equatorial, cross-hemispheric and global changes.</span></span></span></span></span></p>
North Sea drifter trajectories 2024
<p>Trajectories of twelve oceanic drifters deployed in the Wadden Sea just north of the town of Moddergat on 25 April 2024.</p> <p>The drifters are so-called <strong>Stokes drifters</strong>, built by <a href="https://metocean.com/products/stokes-drifter/">MetOcean</a> in Canada. They are small, white, floating devices that are designed to follow the water motion in the Wadden Sea. The drifters are equipped with a GPS and a satellite transmitter, so that we can track their position in real time.</p> <p>The data have not been cleaned for outliers. Note that transmission frequencies change during the trajectories (as indicated in the time variable)</p> <p>An interactive visualisation of the drifters can be seen <a href="https://oceanparcels.org/driftermap.html?fn=waddendrifters2024_detailed.json&anim_freq=0.2" target="_blank" rel="noopener">here</a>.</p>
Results from the monitoring of veterinary medicinal product residues and other substances in live animals and animal products - North Macedonia
<p>This dataset contains the monitoring results of veterinary medicinal product residues and other substances measured in live animals and animal products analysed by the national competent authority of North Macedonia. The presence of unauthorised substances, residues of veterinary medicinal products in food may pose a risk factor for public health.</p> <p>For this reason and in order to ensure a high level of consumer protection, a comprehensive legislative framework has been established in the European Union (EU) which defines maximum limits permitted in food and monitoring programmes for the control of the presence of these substances in the food chain. Regulation (EU) No 37/2010 establishes maximum limits for residues of veterinary medicinal products in food-producing animals and animal products. Maximum residue levels for pesticides in or on food and feed of plant and animal origin are laid down in Regulation (EC) No 396/2005. Commission Implementing Regulation (EU) 2022/1646 lays down practical arrangements for and specific content of official controls of the use of veterinary medicinal products in live animals and products of animal origin through three different official national control plans: a national risk-based control plan for production in the Member States, a national randomised surveillance plan for production in the Member States and a national risk-based control plan for third-country imports. Additionally, Commission Delegated Regulation (EU) 2022/1644 lays down the range of samples and stage of production, processing and distribution at which the samples are to be taken.</p> <p>Since 2018 until 2022, the data on the national residue monitoring plan were reported to EFSA in accordance with Council Directive 96/23/EC.</p> <p>The chemical monitoring data collected and published by EFSA include the analytical results provided by EU Member States and three pre-accession countries: Bosnia-Herzegovina, Montenegro, North Macedonia and Serbia.</p> <p>The dataset contains the results of laboratory tests from samples taken from bovines, pigs, sheep, goats, horses, poultry, rabbits, farmed game, wild game aquaculture, milk, eggs and honey, and from 2023 also samples from casings, insects and reptiles.</p> <p>Targeted samples are taken with the aim of detecting illegal treatment or controlling compliance with the maximum levels laid down in the relevant legislation. This means that, in their national plans Member States target the groups of animals (species, gender, age) where the probability of finding residues is the highest. Conversely, the objective of random sampling is to collect significant data to evaluate, for example, consumer exposure to a specific substance.</p> <p>Suspect samples are taken as a consequence of i) non-compliant results on samples taken in accordance with the control plans, ii) possession or presence of prohibited substances at any point during manufacture, storage, distribution or sale through the food and feed production chain, or iii) suspicion or evidence of illegal treatment or non-compliance with the withdrawal period for an authorised medicinal veterinary product.</p> <p>Residues of pharmacologically active substances mean active substances, excipients or degradation products and their metabolites, which remain in food.</p> <p>Unauthorised substances mean substances that are not authorised as veterinary medicinal products or as a feed additive under European Union legislation.</p> <p>Prohibited substances mean substances which are prohibited for use in food producing animals according to the European Union legislation.</p> <p>Non-compliant sample is a sample that has been analysed for the presence of one or more substances and failed to comply with the legal provisions for at least one substance. Thus, a sample can be non-compliant for one or more substances.</p> <p><strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong></p> <p>VMPR_2023 – Food and Veterinary Agency</p> <p>VMPR_2022 – Food and Veterinary Agency</p> <p>VMPR_2021 – Food and Veterinary Agency</p> <p>VMPR_2020 – Faculty of Veterinary Medicine - Skopje</p> <p>VMPR_2019 – Faculty of Veterinary Medicine - Skopje</p> <p>VMPR_2018 – Food and Veterinary Agency</p> <p>VMPR_2017 – Food and Veterinary Agency</p>
Derived daily timeseries of weather, soil moisture and temperature, flow and nitrogen species (nitrate and nitrite, ammonium) concentrations data for the North Wyke Farm Platform National Biosciences Research Infrastructure, England
<p>For a selection of catchments from the North Wyke Farm Platform in southwest England, where land use conversions have been introduced, daily time series data covering weather conditions (minimum temperature, maximum temperature, total rainfall, wind speed and solar radiation), near-surface soil status (moisture content and temperature), flow and concentrations of key nitrogen species (nitrate and nitrite, ammonium) have been filtered based on attached data quality tags . The datasets run between 2013 and March 2024. For the main climate variables, data gaps were infilled with preceding- and following-on daily data, observations from a nearby weather station or existing national datasets to generate a continuous data series for modelling. For the other data series, annual and seasonal summary statistics on data coverage are provided. Information on significant field events, such as ploughing, drilling and harvest, fertiliser applications and manure spreading were also tabulated.</p>
Figure 14 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 14. Lepechinella arctica, ZMK-H 56637, habitus lateral and eye including measurement of 179 µm. Scale bar 1 mm.
Figure 10 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 10. Neighbour-Joining tree of COI (A) and 16S (B) sequences based on p-distance. Bootstrap value – 1000 replicates.
Figure 5 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 5. Lepechinella victoriae, female, 7.2 mm, ZMH-K 56620, Station 963, Iceland Basin, mouthparts and telson. Scale bar 1 mm.
Figure 3 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 3. Lepechinella arctica, size versus morphotype for lepechinellids collected at IceAGE station 879 small specimens in group A, single carina, telson no lateral setae; B, specimens exceeding 6 mm body length: double carina, telson with lateral setae; C specimens having COI and 16S sequences confirming species affiliation.
Figure 4 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 4. Lepechinella victoriae: A, juvenile, 3.7 mm, DZMB-HH 56149, station 983; B, female, 7.2 mm, ZMH-K 56620, Station 963, Iceland Basin.
Figure 2. Lepechinella arctica, 8.3 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 2. Lepechinella arctica, 8.3 mm, DZMB-HH 56230, Station 879, Faeroe Island Ridge, mandible, maxilla 1, labrum, maxilliped and telson. Scale bar 1 mm.
Figure 8 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 8. Distribution of: A, Lepechinella grimi; B, Lepechinella helgii. Numbers indicate stations codes (see Table 2 for station details), the arrows indicate the type localities.
Figure 9 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 9. Distribution of: A, Lepechinella skarphedini (star); B, Lepechinella chrysotheras (rhomb), Lepechinelloides karii (star), Lepesubchela christinae (circle). Numbers indicate stations codes (see Table 1 for station details), the arrows indicate the type localities.
Figure 13. Lepechinella arctica, 6.1 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 13. Lepechinella arctica, 6.1 mm, ZMH-K 56624 and Lepechinella victoriae, 6.0 mm, ZMH-K 56620, photographed after preservation. Scale bar 1 mm.
Figure 1 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 1. Lepechinella arctica (from top to bottom), 6.1 mm, ZMH-K 56622; 6.3 mm, ZMH-K 56623; terminal male with aesthetascs, 8.3 mm, DZMB-HH 56230, Station 879, Faeroe Island Ridge.
Figure 7 in Diversity and distribution of North Atlantic Lepechinellidae (Amphipoda: Crustacea)
Figure 7. Distribution of: A, Lepechinella arctica ('sensu stricto', star; 'form norvegica', rhomb), Lepechinella eupraxiella (triangle) and Lepechinella schellenbergi (circle); B, Lepechinella victoriae (star). Numbers indicate stations codes (see Table 2 for station details), the arrows indicate the type localities.
Fig. 5 in Rugosuscandona, a New Genus of Candonidae (Crustacea: Ostracoda) from Groundwater Habitats in Texas, North America
Fig. 5. Rugosuscandona scharfi gen. nov. sp. nov. A, B, E: holotype male (OK-TX-AW016-008: 01), C, D: allotype female (OK-TX- AW016-008: 02). A) T2, B) T3, C) T1, D) UR with genital organ and furcal attachment, E) labium. Scale bar: 100 µm.
Fig. 4 in Rugosuscandona, a New Genus of Candonidae (Crustacea: Ostracoda) from Groundwater Habitats in Texas, North America
Fig. 4. Rugosuscandona scharfi gen. nov. sp. nov. A, B, D, E: holotype male (OK-TX-AW016-008: 01), C: allotype female (OK-TX- AW016-008: 02). A) A1, B) A2, C) A2, D) Md, E) Mxl with vibratory plate. Scale bar: 100 µm.
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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.