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86 results for “EMI”
Fig. 4 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)
Fig. 4. Ventral side of the first P.sinensis #PeSi0001 found in Latvia.
Fig. 10 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)
Fig. 10. Peculiarities of P.sinensis findings waterbodies size in Latvia.
Fig. 4 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus
Fig. 4. Nesting habitat of Emys orbicularis in the country.
Fig. 5 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus
Fig. 5. Cadaver of the female turtle on the country road.
Fig. 3 in Current State, Anthropogenic Threats And Conservation Of The European Pond Turtle (Emys Orbiclularis) In Belarus
Fig. 3. Water habitat of the European pond turtle in Belarus («National Park Pripiatskij»).
Fig.6 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.6. Daily dynamics of sun-basking activity of Emys orbicularis.
Fig.1 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.1. The schema of the experimental out-door terrarium.
Figure 3 in Increased haplotype diversity of Emys orbicularis (Linnaeus, 1758) (Reptilia: Emydidae) in northern Iran
Figure 3. Haplotype network of all studied samples based on the Cytochrome b gene fragment.
emys_pca1_2017_wacu_tinytag
<p>Time series from dataloggers WACU (CNRS-IPHC, Strasbourg: temperature, pressure, light [1Hz]; acceleration x, y, z [10Hz]) deployed on free-living European pond turtles (Emys orbicularis), in water (TINYTAGS: temperature at surface, 20cm, bottom) and in air (TINYTAGS: temperature, humidity) at Petite Camargue alsacienne, Saint-Louis, France (from 14 April to 29 August, 2017). Source: Jean-Yves Georges (EMYS@lsace; CNRS-IPHC, Strasbourg http://iphc.cnrs.fr)</p>
Direct and indirect estimates of dispersal support strong juvenile philopatry and male-biased dispersal in a freshwater turtle species (Emys orbicularis)
<p><span>Dispersal has major impacts on population dynamics, population genetics and evolution and is also critical for population management and conservation. Dispersal is frequently sex- and age-specific, but current knowledge is strongly taxonomically biased toward birds and mammals. Here, we provide estimates of dispersal in a threatened freshwater turtle species, the European pond turtle <em>Emys</em> <em>orbicularis.</em> Based on 15 years of Capture-Mark-Recapture (CMR) monitoring and DNA samples from 194 individuals, we quantified both demographic and genetic dispersal between three sites separated by 1.5 to 3.5 km. We also investigated the effect of age and sex on dispersal. Overall, direct (CMR) and indirect (genetic) approaches provided consistent results showing that the studied sites are well connected with a flow of about one to three dozen migrants per generation. Dispersal was both age- and sex-biased in this species, with frequent dispersal of adult males and a strong philopatry of juveniles (of both sexes) and adult females. The strong philopatry of juveniles contrasts with the recurrent higher dispersal rate in young birds and mammals and shows the relevance of investigating dispersal in various taxonomic groups. Our results also provide useful information for the conservation of European pond turtle populations.</span></p>
Direct and indirect estimates of dispersal support strong juvenile philopatry and male-biased dispersal in a freshwater turtle species (Emys orbicularis)
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Site BDII installation and configuration - EMI Trainings at EGI TF 2012
Installation from EMI 2 release and Configuration of a site BDII instance
Fig. 4 in Where are you from, stranger? The enigmatic biogeography of North African pond turtles (Emys orbicularis)
Fig. 4 Inferred population structure of European pond turtles from North Africa and the Doñana National Park (Spain) for K =2 (top) and K =4 (bottom) using 15 microsatellite loci. Shown are the STRUCTURE runs with the best probability values. Distinct clusters are color-coded. Within each cluster, an individual turtle corresponds to a vertical segment that reflects its ancestry. Mixed ancestries are indicated by differently colored sectors, corresponding to inferred genetic percentages of the corresponding clusters. Sampling regions are separated by black lines
Fig. 1 in Where are you from, stranger? The enigmatic biogeography of North African pond turtles (Emys orbicularis)
Fig. 1 Top: Distribution range of European and Sicilian pond turtles (Emys orbicularis, E. trinacris, shaded). Bottom: Sampling sites of pond turtles yielding haplotypes of mtDNA lineage VI in Europe (Fritz et al. 2007; Velo-Antón et al. 2011; present study) and of North African samples (present study). Red sampling sites: Morocco (Middle Atlas Mountains and Kenitra Province), orange: Morocco (Rif Mountains),
EMI-Meshing: High-quality extracellular-membrane-intracellular meshes of the mouse visual cortex
<p>This repository features a family of tetrahedral meshes of a dense reconstruction of the mouse visual cortex at extreme resolution. Both the extracellular space (ECS) and the main cellular structures are explicitly represented and labelled.</p> <p>The dataset is based on the <a href="https://www.microns-explorer.org/cortical-mm3">Cortical MM^3 dataset</a> centred at position <a href="https://ngl.microns-explorer.org/#!%7B%22dimensions%22:%7B%22x%22:%5B4e-9%2C%22m%22%5D%2C%22y%22:%5B4e-9%2C%22m%22%5D%2C%22z%22:%5B4e-8%2C%22m%22%5D%7D%2C%22position%22:%5B225182.5%2C107314.5%2C22000.5%5D%2C%22crossSectionScale%22:11.406101410482504%2C%22projectionOrientation%22:%5B0.1528419554233551%2C0.49656152725219727%2C0.39075320959091187%2C0.7598538994789124%5D%2C%22projectionScale%22:40961.499900183306%2C%22layers%22:%5B%7B%22type%22:%22image%22%2C%22source%22:%7B%22url%22:%22precomputed://https://bossdb-open-data.s3.amazonaws.com/iarpa_microns/minnie/minnie65/em%22%2C%22subsources%22:%7B%22default%22:true%7D%2C%22enableDefaultSubsources%22:false%7D%2C%22tab%22:%22source%22%2C%22annotationColor%22:%22#7d7d7d%22%2C%22shaderControls%22:%7B%22normalized%22:%7B%22range%22:%5B86%2C172%5D%7D%7D%2C%22name%22:%22img%22%7D%2C%7B%22type%22:%22segmentation%22%2C%22source%22:%7B%22url%22:%22precomputed://gs://iarpa_microns/minnie/minnie65/seg%22%2C%22subsources%22:%7B%22default%22:true%2C%22mesh%22:true%7D%2C%22enableDefaultSubsources%22:false%7D%2C%22tab%22:%22segments%22%2C%22annotationColor%22:%22#949494%22%2C%22selectedAlpha%22:0.3%2C%22segments%22:%5B%22864691134947427836%22%2C%22864691135337771494%22%2C%22864691135393949941%22%2C%22864691135462270365%22%2C%22864691135474669888%22%2C%22864691135617729935%22%2C%22864691135718476593%22%2C%22864691136024102713%22%2C%22864691136390364287%22%2C%22864691136436690846%22%5D%2C%22segmentQuery%22:%22864691136194301772%2C%20864691136814938734%22%2C%22colorSeed%22:3728349837%2C%22name%22:%22seg%22%7D%5D%2C%22showAxisLines%22:false%2C%22showSlices%22:false%2C%22selectedLayer%22:%7B%22visible%22:true%2C%22layer%22:%22seg%22%7D%2C%22layout%22:%7B%22type%22:%224panel%22%2C%22orthographicProjection%22:true%7D%2C%22selection%22:%7B%22layers%22:%7B%22seg%22:%7B%22annotationId%22:%22data-bounds%22%2C%22annotationSource%22:0%2C%22annotationSubsource%22:%22bounds%22%7D%7D%7D%7D">225182-107314-22000</a> with a resolution of 32 x 32 x 40 nm^3. It contains a total of 20 meshes. The meshed domains are cubes with side lengths 5000, 10000, 20000 and 40000 nm and include the largest 5, 10, 50, 100 and 200 cells in the respective tissue volume, respectively. </p> <p><strong>Data</strong></p> <p>The dataset has the following content:</p> <ul> <li> <p>surface meshes: The surfaces of the extracted cells in `.ply` format, suitable for visualization with ParaView or usage in other meshing or simulation software</p> </li> <li> <p>volume meshes: The generated volumetric meshes in `.xdmf` format, containing labels for the extracellular space (label 1) and increasing integer values (2,..., N) for all cells. The file `facet.xdmf`contains facet marker, where the label *l* corresponds to the boundary between ECS and cell *l*. The outer boundaries are marked as `l + offset`, where `offset` is the next higher power of ten of the number of cells (`offset=int(10 ** np.ceil(np.log10(N_cells)))`).</p> </li> </ul> <p><strong>Usage</strong></p> <p>The meshes are intended for usage with FEniCS (see code below), but can equally be read and used with other Software.</p> <pre><code>from fenics import * import numpy as np mesh = Mesh() infile = XDMFFile("mesh.xdmf") infile.read(mesh) gdim = mesh.geometric_dimension() labels = MeshFunction("size_t", mesh, gdim) infile.read(labels, "label") infile.close() # get all local labels np.unique(labels.array()) # array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], dtype=uint64) infile = XDMFFile("facets.xdmf") infile.read(mesh) gdim = mesh.geometric_dimension() boundary_marker = MeshFunction("size_t", mesh, gdim - 1) infile.read(boundary_marker, "boundaries") infile.close() # get all local facet labels np.unique(boundary_marker.array()) # array([ 0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 101, 102, # 103, 104, 105, 106, 107, 108, 109, 110, 111], dtype=uint64)</code></pre> <p> </p>
FIGURE 6 in Competing generic concepts for Blanding's, Pacific and European pond turtles (Emydoidea, Actinemys and Emys)-Which is best?
FIGURE 6. Thoracic ribs of Actinemys marmorata (Museum of Zoology Dresden, MTD 24914), Emydoidea blandingii (MTD 8480), and Emys orbicularis (MTD 44202). Note enlarged, strongly bent thoracic ribs in Emydoidea serving for anchorage of neck muscles. Drawings: C. Schmidt.
FIGURE 3. Phylogenetic hypotheses for emydine turtles 1 in Competing generic concepts for Blanding's, Pacific and European pond turtles (Emydoidea, Actinemys and Emys)-Which is best?
FIGURE 3. Phylogenetic hypotheses for emydine turtles 1 (outgroups removed for clarity). Nomenclature follows the respective references. Top left: Phylogeny based on morphological evidence (Gaffney & Meylan 1988). Synapomorphies: (1) plastral hinge and suprascapula present; (2) episcapula present. Top right: Phylogeny based on mitochondrial 16S rRNA sequences (redrawn from Bickham et al. 1996). Bottom left: Phylogeny based on mitochondrial 16S rRNA sequences plus morphological, ethological and life history evidence (redrawn from Burke et al. 1996). Bottom right: Phylogeny based on the mitochondrial cyt b and ND4 genes and adjacent DNA coding for tRNAs (modified from Feldman & Parham 2002; weakly resolved relationships of 'Emys' blandingii, 'E.' marmorata, and E. orbicularis shown as polytomy).
FIGURE 8. Phylogenetic hypotheses for emydine turtles 2 in Competing generic concepts for Blanding's, Pacific and European pond turtles (Emydoidea, Actinemys and Emys)-Which is best?
FIGURE 8. Phylogenetic hypotheses for emydine turtles 2 (outgroups removed for clarity). Nomenclature follows the respective references except for Emys orbicularis in the two upper trees. Here, the subspecies names and mitochondrial lineages according to Lenk et al. (1999), Fritz et al. (2005, 2007, 2009) and Pedall et al. (2011) are given. Branch lengths in the upper trees are Maximum Likelihood divergence estimates; bottom, Bayesian divergence estimates. Top left: Phylogeny based on the mitochondrial cyt b gene (redrawn from Spinks & Shaffer 2009). Top right: Phylogeny based on three nuclear loci (non-coding introns: HNF-1α, RELN, R35; redrawn from Spinks & Shaffer 2009). Note the short basal branch lengths of more inclusive clades. Bottom left: Phylogeny based on the mitochondrial cyt b and ND4 genes (redrawn from Wiens et al. 2010; the sister group relationship of Glyptemys and the Deirochelyinae is very weakly supported). Bottom right: Phylogeny based on six nuclear loci (coding: NGFB; introns: ETS, GAPD, ODC, R35, Vim). Redrawn from Wiens et al. (2010).
FIGURE 2 in Competing generic concepts for Blanding's, Pacific and European pond turtles (Emydoidea, Actinemys and Emys)-Which is best?
FIGURE 2. Anterior views of (a) the right scapula of emydine turtle with ancestral character state as occurring in Actinemys, Clemmys, and Glyptemys species, (b) bipartite scapula of Emys, (c) tripartite scapula of Emydoidea, and (d) tripartite scapula of Terrapene. Abbreviations: esc: episcapula, ssc: suprascapula, sc: scapula, gl: glenoid, acr: acromion. Redrawn from Bramble (1974); reproduction from Fritz (2003) with permission of Laurenti Verlag.
FIGURE 1 in Competing generic concepts for Blanding's, Pacific and European pond turtles (Emydoidea, Actinemys and Emys)-Which is best?
FIGURE 1. Longitudinal sections of a Terrapene shell (left) and cross sections of right scapulo-carapacial articulation of Terrapene (right) to demonstrate relationships between scapula and carapace when shell is open (a), corresponding to a 'locked' scapulo-carapacial articulation (1), and when shell is closed (b), corresponding to a disengaged scapulo-carapacial articulation (3). The medial figure right (2) shows the disengaging of the scapulo-carapacial articulation during shell closure. Abbreviations: esc: episcapula, ssc: suprascapula, sc: scapula, rs: recessus scapularis, Mts: Musculus testoscapularis, lig: ligament, dr: dorsal rib, dv: dorsal vertebra. Redrawn and modified from Bramble (1974); reproduction from Fritz (2003) with permission of Laurenti Verlag.
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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)
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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.