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6,861 results for “Animation”
FIGURE 1. Entire animal, dorsal view. A in New records of Pagurixus Melin, 1939 (Crustacea: Decapoda: Paguridae) from the Ryukyu Islands, southwestern Japan, with description of a new species
FIGURE 1. Entire animal, dorsal view. A, Pagurixus acanthocarpus Komai & Okuno, 2009, male (sl 1.8 mm), stn Sumiyoshi 2, Tanega-shima, RUMF-ZC 2324; B, Pagurixus acanthocarpus Komai & Okuno, 2009, ovig. female (sl 1.6 mm), stn Sumiyoshi 2, Tanega-shima, RUMF-ZC 2324 (pleon missing); C, Pagurixus fasciatus Komai & Myorin, 2005, male (sl 1.7 mm), stn Sumiyoshi 2, Tanega-shima, RUMF-ZC 2331; D, Pagurixus fasciatus Komai & Myorin, 2005, female (sl 1.4 mm), stn Sumiyoshi 2, Tanega-shima, RUMF-ZC 2331 (right third pereopod and pleon missing); E, Pagurixus vicinus sp. nov., paratype, male (sl 1.4 mm), stn K 2-1, Kuchino-shima, RUMF-ZC 2346; F, Pagurixus vicinus sp. nov., paratype, ovig. female (sl 1.2 mm), stn K 2-1, Kuchino-shima, RUMF-ZC 2346.
paperChain - Video Animation - Circular Case 5 (Sweden)
<p>This animation video summarises in approximately two minutes the most relevant results of the implementation of paperChain's Circular Case.</p>
FIGURE 1. Living animals A. Philinopsis falciphallus n in Six new species of aglajid opisthobranch mollusks from the tropical Indo-Pacific
FIGURE 1. Living animals A. Philinopsis falciphallus n. sp., paratype, CASIZ 177678, Mabini, Philippines, arrow indicates location of posterior lobe. B. Philinopsis falciphallus n. sp., CASIZ 177678, Mabini, Philippines, ventral view showing markings on foot. C. Philinopsis coronata n. sp., holotype, CASIZ 182887, Mabini, Philippines. D. Philinopsis ctenophoraphaga n. sp. CASIZ 096245, Mabini, Philippines, E. Chelidonura mandroroa n. sp., holotype, CASIZ 173595, Radama Islands, Madagascar F. Chelidonura alisonae n. sp., CASIZ 174177. G. Odontoglaja mosaica, paratype, CASIZ 173419, Radama Islands, Madagascar. H. Odontoglaja mosaica, paratype, CASIZ 173415, Radama Islands, Madagascar. Photos by T. M. Gosliner.
Figure 1. Notobryon wardi Odhner, 1936. Living animals. A in Molecular data illuminate cryptic nudibranch species: the evolution of the Scyllaeidae (Nudibranchia: Dendronotina) with a revision of Notobryon
Figure 1. Notobryon wardi Odhner, 1936. Living animals. A, Australia, New South Wales, Port Stephens, photo by Ron Greer; B, Philippines, Luzon Island, Batangas Province, Anilao, Photo by T. M. Gosliner, CASIZ 177589; C, Philippines, Luzon Island, Batangas Province, Calumpan Peninsula, photo by T. M. Gosliner, CASIZ 177537; D, Marshall Islands, Kwajalein Atoll, South Loi Island, photo by J. Johnson, CASIZ 180378; E, Papua New Guinea, North coast, near Madang, photo by T. M. Gosliner, CASIZ 075283; F, Notobryon sp.B, Philippines, Luzon Island, Batangas Province, Anilao, Mainit Bubbles, photo by T. M. Gosliner, CASIZ 177759.
Figure 7 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 7. Scanning electron microscopy picture of trophi of Abrochtha sonneborni sp. nov. in caudal view. Scale bar = 10 Mm.
Figure 6 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 6. Abrochtha kingi sp. nov.: scanning electron microscopy pictures of details of body morphology. A, head, ventrolateral view; B, antenna; C, foot; D, rostrum; E, epidermis. Scale bars = 10 Mm (A), 5 Mm (B–D), 2 Mm (E).
Figure 5. A in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 5. A, Abrochtha kingi sp. nov.: habitus in dorsal view. B, Abrochtha sonneborni sp. nov.: habitus in dorsal view. Scale bar = 50 Mm.
Figure 4 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 4. Scanning electron microscopy pictures of trophi of Abrochtha meselsoni sp. nov. (A, B) and Abrochtha kingi sp. nov. (C, D). A, C, caudal view; B, D, cephalic view. Scale bar = 5 Mm.
Figure 2 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 2. Abrochtha meselsoni sp. nov. A, habitus in dorsal view; B, lateral view. Scale bar = 50 Mm.
Figure 1. Best selected tree from a maximum likelihood reconstruction for the cytochrome c oxidase subunit I in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 1. Best selected tree from a maximum likelihood reconstruction for the cytochrome c oxidase subunit I data set under the general time reversible model with gamma distribution, displaying all compatible groupings and with average branch lengths proportional to numbers of substitutions per site, indicated by the scale bar. Bootstrap support values above 80% are shown below each branch; posterior probabilities above 0.8 from 36 000 sampled trees from the Bayesian analysis are shown above each branch. Support values for within-species relationships are not shown. Filled circles indicate clades (and singlets) identified by the 4¥ rule; open diamonds indicate clades (and singlets) identified by the generalized mixed yule coalescent model. Names refer to the species and the clonal populations.
Figure 3 in Integrating DNA and morphological taxonomy to describe diversity in poorly studied microscopic animals: new species of the genus Abrochtha Bryce, 1910 (Rotifera: Bdelloidea: Philodinavidae)
Figure 3. Abrochtha meselsoni sp. nov. Scanning electron microscopy pictures of details of body morphology. A, habitus, lateral view; B, head; C, foot; D, antenna; E, rostrum; F, epidermis. Scale bars = 25 Mm (A), 10 Mm (B, E), 5 Mm (C, D), 2 Mm (F).
Figure 74. Living animals. A in Previously undocumented diversity and abundance of cryptic species: a phylogenetic analysis of Indo-Pacific Arminidae Rafinesque, 1814 (Mollusca: Nudibranchia) with descriptions of 20 new species of Dermatobranchus
Figure 74. Living animals. A, Dermatobranchus rodmani sp. nov., CASIZ 173400, Radama Islands, Madagascar, photo by T. M. Gosliner. B, Dermatobranchus rodmani sp. nov., CASIZ 174170, Pulau Labus, Malaysia, photo by D. W. Behrens. C, Dermatobranchus semilunus sp. nov., Pulau Chimbe, off Tioman, Malaysia, photo by T. M. Gosliner. D, Dermatobranchus semilunus sp. nov., CASIZ 073045, Madang, Papua New Guinea, photo by T. M. Gosliner. E, Dermatobranchus semilunus sp. nov., CASIZ 110407, Cabilao, Bohol, Philippines, photo by T. M. Gosliner. F, Dermatobranchus tuberculatus sp. nov., CASIZ 110361, Ligpo Island, Luzon, Philippines, photo by T. M. Gosliner. G, Dermatobranchus tuberculatus sp. nov., CASIZ 096332, Devil's Point, Maricaban Island, Luzon, Philippines, photo by T. M. Gosliner. H, Dermatobranchus tuberculatus sp. nov., CASIZ 174171, Pulau Tenggol, Malaysia, photo by T. M. Gosliner.
Figure 42. Living animals. A in Previously undocumented diversity and abundance of cryptic species: a phylogenetic analysis of Indo-Pacific Arminidae Rafinesque, 1814 (Mollusca: Nudibranchia) with descriptions of 20 new species of Dermatobranchus
Figure 42. Living animals. A, Dermatobranchus dendronephthyphagus sp. nov., living animal on prey, Okinawa, Ryukyu Islands, photo by Bob Bolland. B, Dermatobranchus diagonalis sp. nov., CASIZ 068708, Rempi Lagoon, Papua New Guinea, photo T. M. Gosliner. C, Dermatobranchus earlei sp. nov., photo by John Earle. D, Dermatobranchus fasciatus sp. nov., Panglao, Bohol, Philippines, photo by Marina Poddubetskaia. E, F, Dermatobranchus funiculus sp. nov. living animals, Okinawa, Ryukyu Islands, photos by Bob Bolland. G, H, Dermatobranchus funiculus sp. nov. living animals, Maricaban Island, Luzon, Philippines, photos by T. Gosliner.
Figure 15. Living animals. A in Previously undocumented diversity and abundance of cryptic species: a phylogenetic analysis of Indo-Pacific Arminidae Rafinesque, 1814 (Mollusca: Nudibranchia) with descriptions of 20 new species of Dermatobranchus
Figure 15. Living animals. A., Dermatobranchus gonatophorus Hasselt, 1824, after Bergh, 1905. B, Dermatobranchus ornatus (Bergh, 1874), after Bergh, 1874. C, Dermatobranchus gonatophorus Hasselt, 1824, Thailand, photo by Mark Strickland. D, Dermatobranchus ornatus (Bergh, 1874), Ligpo, Philippines, photo by T. Gosliner. E, Dermatobranchus pustulosus Hasselt, 1824, after Bergh, 1887. F, Dermatobranchus pustulosus Hasselt, 1824, CASIZ 083798, Mabini, Luzon, Philippines, photo by T. Gosliner. G, Dermatobranchus pustulosus Hasselt, 1824, CASIZ 085904, Dakak, Mindanao, Philippines, photo by T. Gosliner. H, Dermatobranchus rubidus (Gould, 1852), CASIZ 105696, Mabini, Luzon, Philippines, photo by T. Gosliner. I, Dermatobranchus striatus Hasselt, 1824, CASIZ 086314, Madang, Papua New Guinea, photo by T. Gosliner.
Figure 30. Living animals. A in Previously undocumented diversity and abundance of cryptic species: a phylogenetic analysis of Indo-Pacific Arminidae Rafinesque, 1814 (Mollusca: Nudibranchia) with descriptions of 20 new species of Dermatobranchus
Figure 30. Living animals. A, Dermatobranchus albineus sp. nov., Hottentot's Huisie, Cape Peninsula, South Africa, photo T. M. Gosliner. B, Dermatobranchus albineus sp. nov., on host octocoral, Hottentot's Huisie, Cape Peninsula, South Africa, photo by T. M. Gosliner. C, Dermatobranchus arminus sp. nov., Bakoven, South Africa, photo by T. M. Gosliner. D, Dermatobranchus caesitius sp. nov., Umgazana, South Africa, photo by T. M. Gosliner. E, Dermatobranchus caeruleomaculatus sp. nov., living animal, Tioman Island, Malaysia, photo by T. M. Gosliner. F, Dermatobranchus caeruloemaculatus sp. nov., egg mass, Tioman Island, Malaysia, photo by T. M. Gosliner. G, Dermatobranchus cymatilis sp. nov., Okinawa, Japan, photo by Bob Bolland. H, Dermatobranchus dendronephthyphagus sp. nov., living animal, Okinawa, Ryukyu Islands, Japan, photo by Bob Bolland.
dataset related to article "Dysregulation of Muscle-Specific MicroRNAs as Common Pathogenic Feature Associated with Muscle Atrophy in ALS, SMA and SBMA: Evidence from Animal Models and Human Patients"
<p> CINZIA CAGNOLI 0000-0001-6863-6687, MICHELA TAIANA 0000-0001-8257-8831, MONICA NIZZARDO 0000-0001-5447-0882, STEFANIA CORTI 0000-0001-5425-969X, VIVIANA PENSATO 0000-0001-9798-2669, ANNA VENERANDO <a href="https://orcid.org/0000-0002-7489-1833">0000-0002-7489-1833</a>, CINZIA GELLERA <a href="https://orcid.org/0000-0002-3582-665X">0000-0002-3582-665X</a>, SILVIA FENU 0000-0002-5233-6580, DAVIDE PAREYSON 0000-0001-6854-765X, RICCARDO MASSON 0000-0002-9311-452X, LORENZO MAGGI 0000-0002-0932-5173, ELEONORA DALLA BELLA 0000-0001-6267-9651, GIUSEPPE LAURIA 0000-0001-9773-020X, RENATO MANTEGAZZA 0000-0002-9810-5737, PIA BERNASCONI 0000-0003-0869-2104, ANGELO POLETTI 0000-0002-8883-0468, SILVIA BONANNO 0000-0002-8823-6821, STEFANIA MARCUZZO 0000-0001-6893-6372.</p>
Spatially explicit models for decision-making in animal conservation and restoration
<p>Models are useful tools for understanding and predicting ecological patterns and processes. Under ongoing climate and biodiversity change, they can greatly facilitate decision-making in conservation and restoration and help designing adequate management strategies for an uncertain future. Here, we review the use of spatially explicit models for decision support and identify key gaps in current modelling in conservation and restoration. Of 650 reviewed publications, 217 publications had a clear management application and were included in our quantitative analyses. Overall, modelling studies were biased towards static models (79 %), towards the species and population level (80 %) and towards conservation (rather than restoration) applications (71 %). Correlative niche models were the most widely used model type. Dynamic models as well as the gene-to-individual level and the community-to-ecosystem level were underrepresented, and explicit cost optimisation approaches were only used in 10 % of the studies. We present a new model typology for selecting models for animal conservation and restoration, characterising model types according to organisational levels, biological processes of interest and desired management applications. This typology will help to more closely link models to management goals. Additionally, future efforts need to overcome important challenges related to data integration, model integration, and decision-making. We conclude with five key recommendations, suggesting that wider usage of spatially explicit models for decision support can be achieved by (1) developing a toolbox with multiple, easier-to-use methods, (2) improving calibration and validation of dynamic modelling approaches, and (3) developing best-practise guidelines for applying these models. Further, more robust decision-making can be achieved by (4) combining multiple modelling approaches to assess uncertainty, and (5) placing models at the core of adaptive management. These efforts must be accompanied by long-term funding for modelling and monitoring, and improved communication between research and practise to ensure optimal conservation and restoration outcomes.</p>
Animation of the blast loaded object
<p>An animation of the motion of a blast loaded object. The motion was tracked using a MEMS 6-axis sensor and corrected in the earth frame-of-reference using the method of quaternions.</p>
Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions
<p>Habitat selection studies are designed to generate predictions of species distributions or inference regarding general habitat associations and individual variation in habitat use. Such studies frequently involve either individually indexed locations gathered across limited spatial extents and analyzed using resource selection functions (RSF), or spatially extensive locational data without individual resolution typically analyzed using species distribution models. Both analytical methodologies have certain desirable features, but analyses that combine individual- and population-level inference with flexible non-linear functions may provide improved predictions while accounting for individual variation. Here, we describe how RSFs can be fit using hierarchical generalized additive models (HGAMs) using widely available software, providing a means to explore individual variation in habitat associations and to generate species distribution maps. We used GPS tracking data from Golden Eagles (Aquila chrysaetos) from across eastern North America with four environmental predictors to generate monthly distribution models. We considered three model structures that assumed different amounts of individual variation in the functional relationship between predictors and habitat use and used k-fold cross-validation to compare model performance. Models accounting for individual variability in shape and smoothness of functional responses performed best. Eagles exhibited the least amount of individual variation in response to land cover variables during winter months, with most individuals more closely adhering to the population-level trend. During summer months, eagles exhibited more substantial individual variation in shape and smoothness of the functional relationships, suggesting some need to account for individual variation in eagle habitat use for both inferential and predictive purposes, during this time of year. Because they allow users to blend flexible functions with random effects structures and are well-supported by a variety of software platforms, we believe that HGAMs provide a useful addition to the suite of analyses used for modeling habitat associations or predicting species distributions.</p>
Example Attribution Animations
<p>Example Attribution Animations for the Master Thesis "Investigating models of collective behavior via input attribution" written by Pascal Müller at the FU Berlin. </p> <p> </p> <p>Details: Attribution Methods used: Gradient and Occlusion. Network: With Convolutional Layers. Trained on: The vanilla couzin dataset. Colors indicate the attribution values for each input bin. Red color indicates the absolute strength of the attribution on the distance of the walls channel blue colors indicates the absolute strength of the attribution on the distance/orientation of the closest other agent channels (for each input bin bin, the the mean between both values)</p>
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.