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580 results for “pattern analysis”
Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis
<p>ZIP file with InSAR raw and smoothed final velocity solution values</p>
Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern
<p>I upload the images of the manuscript "Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern".</p>
FIG. 2 in Analysis of the diversity and distributional patterns of coleopteran families on a global scale
FIG. 2. Cluster analyses and corresponding regionalisation schemata based on (a) a streamlined but nevertheless fairly comprehensive dataset excluding very widespread families and family-poor ecoregions; (b) endemic-rich ecoregions only.
FIG. 1 in Analysis of the diversity and distributional patterns of coleopteran families on a global scale
FIG. 1. Global patterns of coleopteran family diversity and endemism. (a) family richness; (b) weighted endemism.
Molecular gut content analysis indicates the inter- and intra-guild predation patterns of spiders in conventionally managed vegetable fields
<p>Inter- and intra-guild interactions are important in the coexistence of predators and their prey, especially in highly disturbed vegetable cropping systems with sporadic food resources. Assessing the dietary range of a predator taxon characterized by diverse foraging behavior using conventional approaches, such as visual observation and conventional molecular approaches for prey detection, has serious logistical problems.<i> </i>In this study, we investigated the trophic interactions of a functionally diverge group of predators -spiders- to accomplish the ultimate goal that is the predation of spiders on major crop pests. We used high-throughput sequencing (HTS) and biotic interaction networks to precisely annotate the predation spectrum and highlight the predator–predator and predator-prey interactions in Brassica fields. The prey taxa in the gut of spiders were mainly enriched with insects (including dipterans, coleopterans, orthopterans, hemipterans and lepidopterans) and arachnids (such as Araneae) along with a wide range of other prey factions. Despite the generalist foraging behavior of spiders, the community structure analysis and interaction networks highlighted the overrepresentation of particular prey taxa in the gut of each spider family, as well as showed the intra-family predation between different spiders. Identifying the diverse trophic niche proportions underpins the importance of spiders as predators of pests in highly disturbed agroecosystems. More specifically, combining HTS with advanced ecological community analysis reveals the preferences and biological control potential of particular spider taxa, so provides a valuable evidence base for targeted conservation biological control efforts in complex trophic networks.</p>
Figure 1 in Distributional patterns of Vetigastropoda (Mollusca) all over the world: a track analysis
Figure 1. Generalized tracks obtained in the analysis: (a) Japan; (b) Philippines; (c) Tasmania; (d) South-eastern Australia; (e) New Zealand; (f) Mediterranean Sea; (g) Arabian Peninsula; (h) South Africa–Mozambique; (i) Eastern South Africa; (j) South Africa; (k) Western South Africa; (l) Port Alfred–Kosi Bay; (m) North Pacific; (n) Northern Archipelago; (o) North-west Coast of California; (p) Hawaiian Archipelago; (q) Pacific–Atlantic; (r) Gulf of California–Colombia; (s) Gulf of California– Panama; (t) Peru–Chile; (u) South American; (v) Chile; (w) Western Atlantic; (x) Espiritu Santo–Rio Grande; (y) South Brazil; and (z) South-eastern Brazil. The nodes are labelled with a cross inside a circle. Numbers in square brackets indicate the number of species supporting each generalized track.
Data from: Genome-wide analysis reveals demographic and life history patterns associated with habitat modification in land-locked, deep-spawning sockeye salmon (Oncorhynchus nerka)
<p>Human-mediated habitat fragmentation in freshwater ecosystems can negatively impact genetic diversity, demography and life history of native biota, while disrupting the behaviour of species that are dependent on spatial connectivity to complete their life cycles. In the Alouette River system (British Columbia, Canada), dam construction in 1928 impacted passage of anadromous sockeye salmon (<i>Oncorhynchus nerka</i>), with the last records of migrants occurring in the 1930's. Since that time, <i>O. nerka</i> persisted as a resident population in Alouette Reservoir until experimental water releases beginning in 2005 created conditions for migration; two years later, returning migrants were observed for the first time in ~70 years, raising important basic and applied questions regarding life history variation and population structure in this system. Here, we investigated the genetic distinctiveness and population history of Alouette Reservoir <i>O. nerka</i> using genome-wide SNP data (n=7,709 loci) collected for resident and migrant individuals, as well as for neighbouring anadromous sockeye salmon and resident kokanee populations within the Fraser River drainage (n=312 individuals). Bayesian clustering and principal components analyses based on neutral loci revealed five distinct clusters, largely associated with geography, and clearly demonstrated that Alouette Reservoir resident and migrant individuals are genetically distinct from other <i>O. nerka</i> populations in the Fraser River drainage. At a finer-level, there was no clear evidence for differentiation between Alouette Reservoir residents and migrants; although we detected eight high-confidence outlier loci, they all mapped to sex chromosomes suggesting that differences were likely due to uneven sex ratios rather than life history. Taken together, these data suggest that contemporary Alouette Reservoir <i>O. nerka</i> represents a landlocked sockeye salmon population, constituting the first reported instance of deep-water spawning behaviour associated with this life history form. This finding punctuates the need for re-assessment of conservation status and supports on-going fisheries management activities in Alouette Reservoir. </p>
Do patients of different craniofacial patterns have different minimum cross-sectional area and cross-sectional areas of the upper airways? A systematic review with network meta-analysis
<div>Dataset for all analyses. Dataset initially made available to editor and peer-reviewers during the peer review phase. After acceptance, the dataset will be made openly available to all without any restrictions.</div>
Figs 79–92 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 79–92. Oscillograms of male calling signals: 79–82 — Evacanthus asiaticus; 83–88 — Limotettix (Scleroracus) russeolus; 89–92 — Hephathus nanus. Faster oscillograms of the parts of signals indicated as "86–88" and "91–92" are given under the same numbers. Рис. 79–92. Осциллограммы приЗывных сигналов: 79–82 — Evacanthus asiaticus; 83–88 — Limotettix (Scleroracus) russeolus; 89– 92 — Hephathus nanus. Фрагменты сигналов, обоЗначенные цифрами "86–88" и "91–92", представлены на осциллограммах под такими же номерами.
Figs 64–78 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 64–78. Oscillograms of male calling signals: 64–65 — Handianus fartilis; 66–69 — Aconurella diplachnis; 70–78 — Fangamanus tripunctatus. Faster oscillograms of the parts of signals indicated as "67–69" and "74–78" are given under the same numbers. Рис. 64–78. Осциллограммы приЗывных сигналов: 64–65 — Handianus fartilis; 66–69 — Aconurella diplachnis; 70–78 — Fangamanus tripunctatus. Фрагменты сигналов, обоЗначенные цифрами "67–69" и "74–78", представлены на осциллограммах под такими же номерами.
Figs 54–63 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 54–63. Oscillograms of male calling signals: 54–57 — Macropsis megerlei; 58–63 — M. ornata. Faster oscillograms of the parts of signals indicated as "56–57" and "61–63" are given under the same numbers. Рис. 54–63. Осциллограммы приЗывных сигналов: 54–57 — Macropsis megerlei; 58–63 — M. ornata. Фрагменты сигналов, обоЗначенные цифрами "56–57" и "61–63", представлены на осциллограммах под такими же номерами.
Figs 39–53 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 39–53. Oscillograms of male calling signals: 39–47 — Macropsis milkoi; 48–53 — M. aselae. Faster oscillograms of the parts of signals indicated as "40", "46–47", and "52–53" are given under the same numbers. Рис. 39–53. Осциллограммы приЗывных сигналов: 39–47 — Macropsis milkoi; 48–53 — M. aselae. Фрагменты сигналов, обоЗначенные цифрами "40", "46–47" и "52–53", представлены на осциллограммах под такими же номерами.
Kinematic Flexibility Analysis: Hydrogen Bonding Patterns Impart a Spatial Hierarchy of Protein Motion
<p>KGS conformational ensembles of 100 substates from sampling ADK starting from the open conformation (PDB ID 4ake). Hydrogen bonds were included at thresholds of -1, -2, and -4 kcal/mol. Hydrogen bond network constraint relaxation was set to 1e-10 (nullspace floppy modes) and 1e-2 (kinematic flexibility modes)</p>
Fig. 1 Pattern representing a in Genetic analysis of dicyemid infrapopulations suggests sexual reproduction and host colonization by multiple individuals is common
Fig. 1 Pattern representing a distribution of microsatellite alleles in individual dicyemids. Dicyemids in each host individual did not share identical patterns of microsatellite alleles. Each row represents a single dicyemid individual. Microsatellite alleles are colour coded according to
FIGURE 4. Distinctive RFLP pattern obtained with pDRAW32 in Revision of the genus Reddellomyces (Tuberaceae): a combination of molecular and morphological analysis provides insights into species diversity
FIGURE 4. Distinctive RFLP pattern obtained with pDRAW32 from in silico digestion of ITS rDNA sequences from representative species. In the computer-simulated digestions, the set of seven enzymes AoxI, BtsCI, FatI, GlaI, HaeIII, Hpy1881, HpyCH4V, LmnI, NIaIII, PasI, StyI and TaqI were used. Lanes labelled MW represent Invitrogen 100 kb ladder.
Hollows on Mercury: A Comprehensive Analysis of Spatial Patterns and Their Relationship to Craters and Structures
<p><strong><span>Supporting Material Content </span></strong></p> <p><span> </span></p> <p><span>The raw data collected and produced in this paper are shown in the tables provided as supplementary information to the main text of the article.</span><span> </span><span>Specifically, the contents of each table are as follows:</span></p> <p><span> </span></p> <p><strong><span><span>1-<span> </span></span></span></strong><strong><span>Matrix 1</span></strong></p> <p><span>This table shows the Boolean matrix in which all the data collected for each distinctive trait (header descriptions are reported in Table 1 in the main text) for each hollow location are collected. In Matrix 1 and 2, the ID progressive numbering used in Thomas et al., (2014a) have been maintained. When a new location was added to the list we used the same Id number of the closest identified location by Thomas et al., (2014a). For further clarity an univocal new progressive numbering has been assigned to each location. In addition, (i) the coordinates of the centroid of the mapped polygon for each location (latitude and longitude are provided in decimal degrees) and (ii) the automatically extracted minimum, maximum and mean elevations are given for each polygon.</span></p> <p><strong><span><span>2-<span> </span></span></span></strong><strong><span>Matrix 2</span></strong></p> <p><span>This table shows the Boolean matrix in which the occurrences of degradation classes and geologic units are collected for all those hollows contained within craters. These data are reported both as single column cumulative data (e.g., for each location, when available, the degradation class code is reported) and as Boolean matrix. When data are not available for the given location the cells have been left empty.</span></p> <p><span>Crater diameters are also reported along with elevations related to crater morphologies.</span></p> <p><strong><span><span>3-<span> </span></span></span></strong><strong><span>Matrix 3</span></strong></p> <p><span>This table shows the matrix that collects the results of equations 1, 2 (tab P) and 3 (tab I), described in the methods section, for the entire population of hollows. The data herein reported are the machine-readable version of the data reported in Table 2 in the main text.</span></p> <p><strong><span><span>4-<span> </span></span></span></strong><strong><span>Matrix 4</span></strong></p> <p><span>This table shows the matrix that collects the results of equations 1, 2 (tab P) and 3 (tab I), described in the methods section, for the population of hollows contained within craters. This dataset also includes the results of the above equations by taking into account parameters such as degradation classes and geological units (names reported in the headers correspond to the ones used in Matrix 2 which are taken from geological mapping literature. The full literature list can be found in the main text in the methods section).</span></p> <p><span> </span></p> <p><span>In addition to these tables, we also provided the GIS-ready shapefile containing all the polygons showing the areas where the hollows were observed, the attributes are the same as those included in Matrix 1.</span></p>
Data from: Patterns and predictors of β-diversity in the fragmented Brazilian Atlantic forest: a multiscale analysis of forest specialist and generalist birds
1. Biodiversity maintenance in human-altered landscapes (HALs) depends on the species turnover among localities, but the patterns and determinants of β-diversity in HALs are poorly known. In fact, declines, increases, and neutral shifts in β-diversity have all been documented, depending on the landscape, ecological group and spatial scale of analysis. 2. We shed some light on this controversy by assessing the patterns and predictors of bird β-diversity across multiple spatial scales considering forest specialist and habitat generalist bird assemblages. 3. We surveyed birds from 144 point counts in 36 different forest sites across two landscapes with different amount of forest cover in the Brazilian Atlantic forest. We analysed β-diversity among points, among sites, and between landscapes with multiplicative diversity partitioning of Hill numbers. We tested whether β-diversity among points was related to within-site variations in vegetation structure, and if β-diversity among sites was related to site location and/or to differences among sites in vegetation structure and landscape composition (i.e. percent forest and pasture cover surrounding each site). 4. β-diversity between landscapes was lower than among sites and among points in both bird assemblages. In forest specialist birds, the landscape with less forest cover showed the highest β-diversity among sites (bird differentiation among sites), but generalist birds showed the opposite pattern. At the local scale, however, the less forested landscape showed the lowest β-diversity among points (bird homogenisation within sites), independently of the bird assemblage. β-diversity among points was weakly related to vegetation structure, but higher β-diversity values were recorded among sites that were more isolated from each other, and among sites with higher differences in landscape composition, particularly in the less forested landscape. 5. Our findings indicate that patterns of bird β-diversity vary across scales and are strongly related to landscape composition. Bird assemblages are shaped by both environmental filtering and dispersal limitation, particularly in less forested landscapes. Conservation and management strategies should therefore prevent deforestation in this biodiversity hotspot.
Isotopic analysis reveals landscape patterns in the diet of a subsidized predator, the common raven
<p>1. Anthropogenic subsidies to native predators can have cascading effects on sensitive prey populations, but the spatial mechanisms behind these effects are often unknown.</p> <p>2. We used a stable isotope mixing model to reconstruct spatially naïve assimilated diets of common raven (Corvus corax) chicks and then used regression analysis to investigate landscape patterns in assimilated chick diet, with particular respect to the eggs and chicks of greater sage-grouse (Centrocercus urophasianus).</p> <p>3. Assimilated raven diets were primarily composed of mammal carrion, followed by anthropogenic food and sage-grouse eggs and chicks.</p> <p>4. Raven diets showed landscape gradients, whereby raven chicks in nests near active greater sage-grouse breeding leks consumed a higher proportion of sage-grouse eggs, sage-grouse chicks, and insects in their diet and less mammal carrion. A majority of raven nests on anthropogenic nesting structures (78.7%) were within 5 km of the nearest sage-grouse lek. Ravens nesting in high-probability greater sage-grouse nesting habitat consumed more insects and plants and less mammal carrion.</p> <p>5. In landscapes devoid of natural raven nesting substrates, such as our study area, anthropogenic nesting substrates can 'anchor' breeding ravens nearer to greater sage-grouse leks, with concomitant increases in raven predation on greater sage-grouse nests. Curtailment of anthropogenic nesting substrates within 5 km of a sage-grouse lek may have a disproportionately positive impact on sage-grouse populations. More generally, these findings highlight that the spatial arrangement of anthropogenic subsidies can result in indirect interactions between humans and predators with direct implications for predators and prey.</p>
Figure 5. Preferred single tree resulting from the analysis under implied weights with concavity constant k in Systematics of the genus Mayazomus (Arachnida: Schizomida): the relevance of using continuous characters and pedipalp setae patterns to schizomid phylogenetics
Figure 5. Preferred single tree resulting from the analysis under implied weights with concavity constant k = 100. Clade support is indicated above (Bremer support values) and below [symmetric resampling values; only significant values (over 50%) are presented] branches. Sensitivity plots ('Navajo rugs') indicate the recovery of the nodes in the analysis under implied weights with different values of k (black squares indicate monophyly; white squares indicate nonmonophyly).
Figure 12. Pinnichthys aimoriensis papillae pattern, composite from AMNH 265020 and CIUFES 2414 in Molecular phylogeny, analysis of character evolution, and submersible collections enable a new classification of a diverse group of gobies (Teleostei: Gobiidae: Nes subgroup), including nine new species and four new genera
Figure 12. Pinnichthys aimoriensis papillae pattern, composite from AMNH 265020 and CIUFES 2414. Illustration by J.L. Van Tassell.
ScienceDex guides
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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.