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2,721 results for “Connectivity”
Text-fig. 2. Measurements (Μm) of the width of IPM and PE prisms of various types of enamel in representatives of Equidae from the "tarpan" group. in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 2. Measurements (Μm) of the width of IPM and PE prisms of various types of enamel in representatives of Equidae from the "tarpan" group.
Text-fig. 7. Enamel ultrastructure of P3, Equus caballus (konik polski). a: enamel row, scale bar = 50 Μm; b: type I and III, scale bar = 50 Μm; c: type I, scale bar = 10 Μm; d, e: wavy enamel of TZ with decussations, scale bar = 100 and 50 Μm respectively; f: type II near OES, scale bar = 10 Μm. in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 7. Enamel ultrastructure of P3, Equus caballus (konik polski). a: enamel row, scale bar = 50 Μm; b: type I and III, scale bar = 50 Μm; c: type I, scale bar = 10 Μm; d, e: wavy enamel of TZ with decussations, scale bar = 100 and 50 Μm respectively; f: type II near OES, scale bar = 10 Μm.
Text-fig. 1. Localities of investigated species. Black dots represent places where forms were found. 1 – Hirzhevo, 2 – Myrne, in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 1. Localities of investigated species. Black dots represent places where forms were found. 1 – Hirzhevo, 2 – Myrne,
Text-fig. 3. Tendency of changes in IPM and PE width indicators in different types of enamel of the Equidae species of the "tarpan" group. I–III – types of enamel. a: IPM; b: PE. in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 3. Tendency of changes in IPM and PE width indicators in different types of enamel of the Equidae species of the "tarpan" group. I–III – types of enamel. a: IPM; b: PE.
Text-fig. 11. Enamel ultrastructure of first (a) and second (b, c) lower incisors, Equus caballus (konik polski), vertical sections. a: enamel row, scale bar = 100 Μm; b: arranging the prisms in the HSB structure, scale bar = 20 Μm; c: arranging the prisms in PI structure, scale bar = 20 Μm. in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 11. Enamel ultrastructure of first (a) and second (b, c) lower incisors, Equus caballus (konik polski), vertical sections. a: enamel row, scale bar = 100 Μm; b: arranging the prisms in the HSB structure, scale bar = 20 Μm; c: arranging the prisms in PI structure, scale bar = 20 Μm.
Text-fig. 10. Extant pans east of Inhaminga (18°26′28″'S: 35°35′45″E) surrounded by woodland. The pans typically have an arid, vegetation-free, marginal zone and a water-logged sump. Some pans are connected to each other by shallow overflow valleys. Image modified from Google Earth. in Stratigraphy, Chronology And Palaeontology Of The Tertiary Rocks Of The Cheringoma Plateau, Mozambique
Text-fig. 10. Extant pans east of Inhaminga (18°26′28″'S: 35°35′45″E) surrounded by woodland. The pans typically have an arid, vegetation-free, marginal zone and a water-logged sump. Some pans are connected to each other by shallow overflow valleys. Image modified from Google Earth.
How ancient forest fragmentation and riparian connectivity generate high levels of genetic diversity in a micro-endemic Malagasy tree
<p>This repository contains all the scripts and most of the intermediary files necessary to replicate the analyses of the preprint "<strong>How ancient forest fragmentation and riparian connectivity generate high levels of genetic diversity in a micro-endemic Malagasy tree</strong>" submitted to Molecular Ecology and available at:</p> <p><a href="https://www.biorxiv.org/content/10.1101/2020.11.25.394544v1">https://www.biorxiv.org/content/10.1101/2020.11.25.394544v5</a></p> <p>Within each of the different zipped folders a readme.txt file briefly explains how the analyses are organized.</p> <p>This version of the dataset has been revised in agreement with the manuscript revision to answer the comments of the first two rounds of reviews in Peer Community In Evolutionary Biolology (PCI-EvolBiol; <a href="https://evolbiol.peercommunityin.org/">https://evolbiol.peercommunityin.org/</a>) by M. Navascues (Recommender), Katharina Budde (reviewer) and Yurena Arjona (reviewer), as well as two rounds of reviews in Molecular Ecology. All PCIevolbiol comments, response and changes are documented on the PCIevolbiol website.</p>
Codes and data for: Clustering optimisation method for highly connected biological data
<p>Currently, data-driven discovery in biological sciences resides in finding segmentation strategies in multivariate data that produce sensible descriptions of the data. Clustering is but one of several approaches and sometimes falls short because of difficulties in assessing reasonable cutoffs, the number of clusters that need to be formed or that an approach fails to preserve topological properties of the original system in its clustered form. In this work, we show how a simple metric for connectivity clustering evaluation leads to an optimised segmentation of biological data.</p> <p>The novelty of the work resides in the creation of a simple optimisation method for clustering crowded data. The resulting clustering approach only relies on metrics derived from the inherent properties of the clustering. The new method facilitates knowledge for optimised clustering, which is easy to implement.<br>We discuss how the clustering optimisation strategy corresponds to the viable information content yielded by the final segmentation. We further elaborate on how the clustering results, in the optimal solution, corresponds to prior knowledge of three different data sets.</p> <p>This is the dataset and the codes required to conduct the above-mentioned analysis.</p>
Supplementary material 1 from: Pontoppidan M, Nachman G (2013) Changes in behavioural responses to infrastructure affect local and regional connectivity – a simulation study on pond breeding amphibians. Nature Conservation 5: 13-28. https://doi.org/10.3897/natureconservation.5.4611
Full model description following the ODD-template suggested by Grimm et al. (2006, 2010) and model parameterisation. (doi: 10.3897/natureconservation.5.4611.app). File format: Adobe PDF document (pdf).:
From population connectivity to the art of striping Russian dolls: the lessons from Pocillopora corals
<p>Here, we examined the genetic variability in the coral genus <em>Pocillopora</em>, in particular within the Primary Species Hypothesis PSH09, identified by Gélin, Postaire, Fauvelot and Magalon (2017b) using species delimitation methods [also named <em>Pocillopora eydouxi/meandrina</em> complex <em>sensu</em> Schmidt-Roach, Miller, Lundgren, & Andreakis (2014)] and which was found to split into three Secondary Species Hypotheses (SSH09a, SSH09b and SSH09c) according to assignment tests using multi-locus genotypes (13 microsatellites). From a large sampling (2,507 colonies) achieved in three marine provinces [Western Indian Ocean (WIO), Tropical Southwestern Pacific (TSP) and Southeast Polynesia (SEP)], genetic structuring analysis conducted with two clustering analyses (Structure and DAPC) using 13 microsatellites revealed that SSH09a was restricted to the WIO while SSH09b and SSH09c were almost exclusively in the TSP and SEP. More surprisingly, each SSH split into two to three genetically differentiated clusters, found in sympatry at the reef scale, leading to a pattern of nested hierarchical levels (PSH > SSH > cluster), each level hiding highly differentiated genetic groups. Thus, rather than structured populations within a single species, these three SSHs, and even the eight clusters, likely represent distinct genetic lineages engaged in a speciation process or real species. The issue is now to understand which hierarchical level (SSH, cluster or even below) corresponds to the species one. Several hypotheses are discussed on the processes leading to this pattern of mixed clusters in sympatry, evoking formation of reproductive barriers, either by allopatric speciation or habitat selection.</p> <p>This submission contains the genotypes of 2507 individuals from PSH09 for 13 microsatellites.</p>
Connectivity and systemic resilience of the Great Barrier Reef
<p>The text file contains the R code needed to reproduce the GLM with <em>tweedie</em> package as shown in the S3 Table. The zip file contains connectivity networks used in manuscript to obtain Figures 2-5 and S1-S4. The networks are provided in a source-sink format, with different release dates and PLDs provided. The actual data to reproduce the figures has been uploaded as a Supplementary Data File (S1 Data) with the manuscript.</p> <p>If using this data please cite:</p> <p>Hock K, Wolff NH, Ortiz JC, Condie SA, Anthony KRN, Blackwell PG, Mumby PJ (2017) Connectivity and systemic resilience of the Great Barrier Reef. PLoS Biol 15(11): e2003355. https://doi.org/10.1371/journal.pbio.2003355</p>
BRAIN Journal-Evolving Spiking Neural Networks for Control of Artificial Creatures-Figure 10: A typical neuron and postsynaptic connections with weights and delays
<p>First, an initial random population of creatures is generated where the neural networks of the creatures are coded as chromosomes, as shown in Figure 10a and Figure 10b. Each chromosome consists of four parts: A1, A2, A3 and A4. Each part consists of N segments for N neurons of a typical neural network structure. The first part, A1, denotes a, b, c and d parameters of neurons Izhikevich model (discussed in (1) and (2)). Each segment of A2 shows postsynaptic weights and connections for corresponding neuron and each segment of A3 indicates postsynaptic delays of theconnections. Segment A4 shows postsynaptic neurons that are connected to corresponding neuron, as shown in Figure 10b.</p>
FIGURE 3 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 3 | A. Number of sightings of Atlantic Goliath Grouper (AGG) Epinephelus itajara in Alagoas (between 1960 and 2021) by length category. B. Percentage of required AGG recorded by habitats arranged in length category. Color-differentiated total length (TL) categories: juvenile (<50); subadult (50–100 cm); adult (101–150 cm); large adult (151–200 cm).
FIGURE 2 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 2 | Percentage of Atlantic Goliath Grouper records for Sport fishing (Spo), Spearfishing (Spe), Professional fisher (Art), Recreational diving (Rec), and Stranding (Str).
FIGURE 6 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 6 | A. Percentage of Atlantic Goliath Grouper (AGG) Epinephelus itajara registered along the coast of Alagoas, arranged in length category and; B. Percentage of individuals registered alive and dead (fished and stranded), along the division of the coast of Alagoas. C. Percentage of AGG recorded along the coast of Alagoas, distributed by habitats. Stranded animals also make up the graph. D. Distribution of AGG with estimated TL, arranged along the coast of Alagoas. Boxplots present the maximum and minimum limits (upper and lower rush). In the interquartile range are the third and first quartiles at the ends, median and mean (x) of the total length of the subjects. Colordifferentiated total length (TL) categories and separated by habitats.
FIGURE 5 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 5 | A. Sightings of individuals of Atlantic Goliath Grouper (AGG) Epinephelus itajara in Alagoas, between 1960 and 2021, arranged by habitat and; B. Distribution of AGG with estimated Total Length arranged by habitat. Stranded animals also make up the boxplot. Habitats are separated by color, boxplots presents the maximum and minimum limits (upper and lower rush). In the interquartile range are the third and first quartiles at the ends, median and mean (x) of the AGG total length.
FIGURE 4 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 4 | Photographic records from the pre-moratorium period, from the 1970s, 1980s, and 1990s. All images are of captures made through spearfishing in shallow coastal reefs off the Alagoas coast.
FIGURE 1 in Knowledge connections for conservation of the Atlantic Goliath Grouper, Epinephelus itajara: records of tropical Brazilian coast
FIGURE 1 | Distribution of Atlantic Goliath Grouper (AGG) Epinephelus itajara from the coast of Alagoas. Sites with the occurrence of the AGG validated through photographic or scientific records (Image records); places cited by informants for the occurrence of the species (Reports). Alagoas State, Brazil. The Alagoas coast was separated into north, central and south sectors. The figure highlighted Federal Marine Protected Areas (MPA), on the north coast is the MPA "Costa dos Corais". To the south is located the Marine Extractive Reserve of Lagoa do Jequiá and Environmental Protection Area of Piaçabuçu in the extreme south of the coast.
Dataset for "Adaptive connectivity control in networked multi-agent systems: A distributed approach"
<div> <div>Dataset accompanying the paper "<em>Adaptive connectivity control in networked multi-agent systems: A distributed approach</em>" by M. Krizmancic and S. Bogdan submitted to PLOS ONE journal on April 30, 2024.</div> <div> </div> <div> <div> <div>Contains:</div> <ul> <li>Vector images of the figures presented in the paper.</li> <li>Data files containing the values used to build the figures.</li> </ul> <p>Detailed information and instructions are available in the README file within the dataset.</p> </div> </div> </div>
Yoga Asana Increases Pre-Frontal Cortex Activity and Reduces Resting State Functional Connectivity
<p>This dataset characterizes changes in the prefrontal cortex (PFC) before, during and after Yoga Asana (physical postures) with the mobile neuroimaging technique of functional near-infrared spectroscopy (fNIRS). Measurements were conducted with twenty-seven healthy adults executing four basic Asanas for 23 minutes with each Asana maintained for 25 -30 seconds. All postures significantly increased PFC activity versus baseline and resting state functional connectivity showed a significant decrease post Yoga Asana.</p> <p>Files 8, 15 and 24 were removed due to poor signal quality.</p> <p>During the measurement process of Asana the following stim marks were used to distinguish between postures:</p> <p>Posture A (Tadasana): A</p> <p>Posture B (Uttanasana): B</p> <p>Posture C (Adho Mukah Svasana): C</p> <p>Posture D (Urdhva Muka Svasana): D</p> <p>Results of the repeated measures ANOVA are presented for each combination of Asana. Those showing a significant difference are highlighted in green in the second to last tab of the file (Final Table). Demographics of volunteers are outlined in the last tab of the excel file (Demographics Volunteers). </p>
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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.