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FIGURE 5 in The water mite family Aturidae Thor, 1900 from Southeast Asia (Acari: Hydrachnidia) with the description of one new genus and 14 new species
FIGURE 5: Hexaxonopsis monouncata n. sp., holotype male: A – dorsum; B – venter; C – palp; D – IV-leg-4-6. Scale bars = 50 µm.
FIGURE 4 in The water mite family Aturidae Thor, 1900 from Southeast Asia (Acari: Hydrachnidia) with the description of one new genus and 14 new species
FIGURE 4: Hexaxonopsis reticulata n. sp., A – C holotype male, D – paratype female: A – dorsum; B – venter; C – palp; D – venter. Scale bars = 50 µm.
FIGURE 3 in The water mite family Aturidae Thor, 1900 from Southeast Asia (Acari: Hydrachnidia) with the description of one new genus and 14 new species
FIGURE 3: Brachypodopsis thailandicus n. sp., holotype female: A – dorsum; B – venter; C – palp. Scale bars = 50 µm.
FIGURE 1 in The water mite family Aturidae Thor, 1900 from Southeast Asia (Acari: Hydrachnidia) with the description of one new genus and 14 new species
FIGURE 1: Albaxonona elongata n. sp., holotype female: A – dorsum; B – venter; C – palp. Scale bars = 50 µm.
FIGURE 3 in Phytophagous and predatory mites on olive trees in Tunisia. Catalogue, description of one new species and key for identification (Acari, Eriophyidae, Tetranychidae, Tenuipalpidae and Phytoseiidae)
FIGURE 3: Calyx of the spermatheca (a), Chelicera (b) and Macrosetae on leg IV (c) of the female of Typhlodromus (Anthoseius) mathieui n. sp.
One Day Shore Excursion tour – Dancing Bear Tours
<p><strong><a href="https://dancing-bear-tours.com/st_activity/one-day-family-friendly-shore-excursion/">One day shore excursion</a> begins with a city tour specially adjusted to kids’ interests. Not to bore our little ones with a long drive after that, we take the hydrofoil to Peterhof where they will love trick fountains and the whole park. Visit our official website to know more! </strong></p>
Normative behavioral data from the novel One Trail Trace escape reaction task (OTTER)
<p><span>We designed a behavioral task where rats learn to associate two temporally distinct but close-in-time events by means of incidental one-trial learning. </span><span>The task takes advantage of two competing motivations - to avoid light places and to avoid painful stimuli (foot shock) predicted by an acoustic signal. Motivation to avoid a bright light is constant throughout the experiment and is manifested by rats preferring a dark compartment in a light/dark shuttle box. Motivation to stay in the dark is overridden (1) during the training session: when foot-shock (US) (preceded by the acoustic stimulus (CS)) is presented; and (2) during the testing session: when CS, that predicts US, is presented. The latter case occurs when rats successfully form an association between CS and US in the training session and the rat escapes into the light compartment ('responders'). The rats that do not escape ('non-responders' appear to lack this memory as even non-specific fear response (freezing) was absent.</span></p> <p><span>Generally, >50% of rats escape into the lit compartments following CS on the testing day. Importantly, rats do not show a contextual association measured by freezing behavior and preference for a light compartment on the testing day. Moreover, we observed that several putative details in the setup affect the probability of the successful formation of a one-trial trace association. </span><span>Compared to similar tasks, the OTTER task tests incidental learning with no requirement for pre-training. Moreover, the memory formed in the OTTER task consists of two events that do not overlap in time: a characteristic of many episodic memories. The OTTER task presents high-throughput means to study neuronal substrates of incidental temporal binding.</span></p> <p><span></span></p>
Prevalence data complementing the European Union One Health 2021 Zoonoses Report
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation is: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Animal population data complementing the European Union One Health 2021 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>
Food and waterborne outbreaks data complementing the European Union One Health 2021 Zoonoses Report
<p>Food and waterborne outbreaks data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations. </p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Croatia
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - the United Kingdom (Northern Ireland)
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Finland
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Luxembourg
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Animal disease data complementing the European Union One Health 2021 Zoonoses Report
<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.</p>
Sample based prevalence data complementing the European Union One Health 2021 Zoonoses Report - Ireland
<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>
Data from: Two for the price of one: eDNA metabarcoding reveals temporal and spatial variability of mussel and fish co-distributions in Michigan riverine systems
<p>Freshwater mussels (family Unionidae) are among the world's most endangered taxa, with almost 75% of North American taxa classified as a species of concern, threatened, or endangered. Despite the critical importance of comprehensive distributional data for the conservation of unionids and fishes, these data are often lacking because of the labor and resources associated with traditional survey methods. During their larval stage, unionid mussels use various fish species as obligate hosts, making native fish species vital to unionid persistence and an understanding of host distribution similarly important. Here, we utilized an eDNA metabarcoding approach to evaluate patterns of co-distribution of unionid mussels and fishes along ~362 km of the densely sampled Grand River network as well as the outlets of 19 tributaries along the eastern shore of Lake Michigan, USA. We detected a total of 21 mussel and 40 fish taxa, with distinctive composition of both mussel and fish assemblages across tributaries and differences in fish taxa between sampling periods. Notably, we detected more mussel taxa within the Grand River watershed than at the outlets of all 20 rivers combined. Within the Grand River network, two fish taxa (<em>Pylodictus</em> <em>olivaris</em> and <em>Cyprinella</em>) were found more frequently in areas of high mussel diversity, and three fish taxa more frequently in areas of low mussel diversity (<em>Umbra</em>, Leuciscidae, and <em>Etheostoma</em>). There was little difference between eDNA detections of mussels from samples collected in June versus August, but we detected significantly more fish taxa in August compared to June. Taken together, our findings demonstrate the value of eDNA metabarcoding for evaluating co-distribution of ecologically connected taxa. The use of eDNA as a tool for determining distributions of mussels and their obligate hosts may facilitate conservation efforts for these imperiled taxa.</p>
Fig. 2 in One new recorded species of the genus Strongylium (Coleoptera: Tenebrionidae) from China
Fig. 2. Habitus of Strongylium rufipenne. A – male; B – female. Scale bar 1 mm.
Fig. 4 in One new recorded species of the genus Strongylium (Coleoptera: Tenebrionidae) from China
Fig. 4. Distribution of Strongylium rufipenne.
Fig. 1. Strongylium rufipenne, male. A in One new recorded species of the genus Strongylium (Coleoptera: Tenebrionidae) from China
Fig. 1. Strongylium rufipenne, male. A – head; B – pronotum; C – antenna; D – hind
ScienceDex guides
Understand access before you commit
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.