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769 results for “MOSAIC”
Lythrangomi (Λυθράγκωμη), Famagusta District, Cyprus. Church of Panagia Kanakaria (Παναγία Κανακαριά), mosaic of St Andrew.
<p>Lythrangomi (Λυθράγκωμη), Famagusta District, Cyprus. Church of Panagia Kanakaria (Παναγία Κανακαριά), mosaic of St Andrew.</p>
Processed airborne hyperspectral images and mosaics of a Paranapanema River region in Capivara reservoir, Brazil
<p>This database is a image set of a strongest glint-affected region of inland water Capivara reservoir, Brazil. We carried out a flight survey in September 2016 on the confluence region of the Tibagi and Paranapanema Rivers. We use the hyperspectral camera manufactured by Rikola, model FPI2014, wich collect 25 spectral bands at following intervals and full widths at half maximum (FWHM), both expressed in nanometers (nm): 505.37, (9.51), 515.31 (14.05), 528.55 (14.82), 539.87 (14.03), 546.99 (14.31), 554.99 (13.26), 560.22 (12.11), 570.44 (14.31), 579.58 (13.26), 592.57 (16.57), 605.73 (14.98), 620.22 (16.26), 625.92 (15.47), 655.06 (12.55), 665.72 (15.59), 670.03 (15.74), 681.33 (15.89), 695.04 (14.96), 700.46 (15.44), 707.96 (15.32), 715.19 (15.37), 725.37 (14.72), 737.29 (14.98), 749.87 (15.08) and 780.1 (14.72). </p> <p>The external orientation parameters (EOP) are acquired by dual frequency GPS and adjusted with tie points computed by bundle adjustment. We perform individual georeferencing on each individual image.</p> <p>This dataset present processing using nine approaches to mosaicking individual georeferenced images. Three of then are new proposed methods developed by the authors. Details of processing and methodology are described on the oficial paper (currently in review process of journal).</p> <p>The authors thank the Graduate Program in Cartographic Sciences (PPGCC) of the School of Science and Technology (UNESP), campus Presidente Prudente, for allowing the development of this research; the National Council for Scientific and Technological Development (CNPq) and the Coordination for the Improvement of Higher Education Personnel (CAPES) for financial assistance dedicated to the project. The authors extend special thanks to the São Paulo Research Foundation (FAPESP) for financial support for the hyperspectral camera (2013/50426-4).</p> <p> </p>
A High-resolution Mosaic of the Neutral Hydrogen in the M81 Triplet
<p>This dataset shows the distribution of neutral hydrogen in and around the M81 galaxy triplet (M81, M82, NGC 3077) and consists of a 3° × 3°, 105-pointing, high-resolution neutral hydrogen (H I) mosaic obtained with the Very Large Array C and D arrays. The data are described in the paper by <a href="http://adsabs.harvard.edu/abs/2018ApJ...865...26D">de Blok et al. (2018)</a>.</p> <p>Here we provide the following data products:</p> <p><strong>Cubes:</strong></p> <ul> <li>the natural-weighted cube of the VLA C+D mosaic: <em>m81.nat.cube.fits</em></li> <li>the robust-weighted cube of the VLA C+D mosaic: <em>m81.rob.cube.fits</em></li> <li>the natural-weighted cube using only D-array-like baselines: <em>m81_D.nat.cube.fits</em></li> <li>the natural-weighted and zero-spacing corrected data cube of the VLA C+D array and GBT single-dish data from <a href="http://adsabs.harvard.edu/abs/2011AJ....141....9C">Chynoweth et al. (2011)</a>: <em>m81.zero.cube.fits</em></li> </ul> <p><strong>Moment maps:</strong></p> <ul> <li>natural-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.nat.mom[0,1,2].fits</em></li> <li>robust-weighted zeroth (column density), first (velocity field) and second (velocity dispersion) moment maps of the VLA C+D mosaic: <em>m81.rob.mom[0,1,2].fits</em></li> <li>natural-weighted zeroth, first and second moment maps of the "D-array" mosaic: <em>m81_D.nat.mom[0,1,2].fits</em></li> <li>zero-spacing corrected natural-weighted integrated HI map (zeroth-moment) of VLA C+D and GBT data: <em>m81.zero.mom0.fits</em></li> </ul> <p><strong>Acknowledgements:</strong></p> <p>If you make use of these data please cite the original paper:</p> <p><a href="http://adsabs.harvard.edu/abs/2018ApJ...865...26D">de Blok et al. (2018) </a>- de Blok, W.J.G., Walter, F., Ferguson, A.M.N., et al. 2018, ApJ, 865, 26 (<a href="https://doi.org/10.3847/1538-4357/aad557">10.3847/1538-4357/aad557</a>)</p> <p> </p>
Fig. 1 in Comparison of Bemisia tabaci infestation, virus infection, and yield in conventional and transgenic Bean golden mosaic virus-resistant common bean elite lines
Fig. 1. Symptoms of virus infection on common bean plants under field situation: (A) Bean golden mosaic virus; (B) Cowpea mild mottle virus on old transgenic plants and (C) young transgenic plant; (D) symptoms of mixed infection caused by Bean golden mosaic virus and Cowpea mild mottle virus.
Fig. 2 in Helminths of sigmodontine rodents in an agroforestry mosaic in the Brazilian Atlantic Forest: Patterns and processes of the metacommunity structure
Fig. 2. Ordinated matrices for the helminths metacommunity at Pratigi Environmental Protection Area, municipality of Igrapiúna, state of Bahia, northeast Brazil. A) Infracommunities and B) Component Communities.
Fig. 1 in Helminths of sigmodontine rodents in an agroforestry mosaic in the Brazilian Atlantic Forest: Patterns and processes of the metacommunity structure
Fig. 1. The bipartite network analysis illustrating the rodent–helminth association at Pratigi Environmental Protection Area, municipality of Igrapiúna, state of Bahia, northeast Brazil. The brackets separate the rodent tribes.
Linked collectors and determiners for: The mosaic tiled harvestmen-taxonomic review of Gonyleptellus Roewer, 1930 (Opiliones: Gonyleptidae: Gonyleptinae).
Natural history specimen data linked to collectors and determiners held within, "The mosaic tiled harvestmen-taxonomic review of Gonyleptellus Roewer, 1930 (Opiliones: Gonyleptidae: Gonyleptinae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d3e2e8f0-829f-4e34-aa82-14c0409aa379">https://bionomia.net/dataset/d3e2e8f0-829f-4e34-aa82-14c0409aa379</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d3e2e8f0-829f-4e34-aa82-14c0409aa379">https://gbif.org/dataset/d3e2e8f0-829f-4e34-aa82-14c0409aa379</a>. Formatted as a Frictionless Data package.
Sea ice, snow and melt pond example data from MOSAiC transect observations
<p>This data set contains in-situ observation of sea ice, snow and melt pond properties from two days in winter (January 23, 2020) and summer (July 7, 2020) during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. It originates from two sensors:</p> <ol> <li>Broad-band electromagnetic induction sensor (Geophex GEM-2) measuring the combined thickness of the sea ice and snow layers</li> <li>A GPS snow depth probe (Snow-Hydro MagnaProbe) measuring the thickness of the snow layer and melt ponds depth during summer</li> </ol> <p>Both sensors were operated coincidently along transect loops while different loops were used in both days. This data set is a subset of similar weekly activities between October 2019 and September 2020. This publication intends to provide a preview of the data properties and approximate changes between the winter and summer periods. It also has to be noted, that the final data of the EM induction sensor might differ from this release, which is based on a quick-look processing directly after data acquisition.</p> <p><em>GEM-2 data files</em></p> <p>The file format of GEM-2 data is a text file with comma-separated values. Notable parameters are:</p> <ul> <li>‘time’: UTC time</li> <li>‘longitude’: Longitude in degrees east (fill value: 0.0)</li> <li>‘latitude’: Latitude in degrees north (fill value: 0.0)</li> <li>‘`f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`: total (ice + snow) thickness of the sea ice and snow layers in meter for different channels*</li> </ul> <p>*The channels correspond to the real (Inphase) or imaginary (Quadrature) part of the EM signal at a given frequency. The variable name in the csv file is to be read as `f{frequency}Hz_hcp_{i:Inphase|q:Quadrature}`. It is recommended to use the Inphase component of the 18.325 kHz frequency (variable `f18325Hz_hcp_i`) for analysis.</p> <p><em>MagnaProbe data files</em></p> <p>The file format of MagnaProbe data is a text file with comma-separated values. Notable parameters are:</p> <ul> <li>`timestamp`: Timestamp</li> <li>`longitude_a`: longitude degree in degrees east</li> <li>`longitude_b`: longitude minute</li> <li>`latitude_a`: latitude degree in degrees north</li> <li>`latitude_b`: latitude minute</li> <li>`depthCm`: Snow thickness or melt ponds depth in cm</li> <li>`flag`: flag value indicating the type or measurement*</li> </ul> <p>Flag values are:</p> <ul> <li>-1 : melt pond</li> <li>1 : snow or surface scattering layer depth,</li> <li>2 : mixed surface type when pond water pools at the base of a melting</li> </ul> <p>The filenames follow the naming convention of <sensor>-mosaic-transect-<date>-<device-operations-id>.csv with the device operation id as a unique identifier of the sensor raw data within the MOSAiC project.</p>
Fig. 2 in Bat Diversity In The Vegetation Mosaic Around A Lowland Dipterocarp Forest Of Borneo
Fig. 2. Species accumulation curves indicating the cumulative number of species encountered relative to the total number of individuals captured in each vegetation type.
Fig. 1 in Bat Diversity In The Vegetation Mosaic Around A Lowland Dipterocarp Forest Of Borneo
Fig. 1. Study area and location of census points in four vegetation types in and around Lambir Hills National Park. Inset: the location of Lambir Hills National Park, Borneo, indicated by an arrow.
Datasets for article Effect of disease prevalence and growth stage on symptoms severity in the Turnip mosaic virus - Arabidopsis thaliana pathosystem
<p>Plants generate volatile organic compounds (VOCs) in response to biotic and abiotic stimuli that provide information about the physiological status of emitters to other individuals in the community. Nearby receivers adjust their own defenses in response to these chemical cues. The majority of studies to date has concentrated on the communication of abiotic stressors (<em>e.g</em>. salinity or drought) or herbivory. Less attention had received the role of VOCs during microbial infections and almost nothing has been done for viruses. Here we investigated the function of VOCs during turnip mosaic virus infection of <em>Arabidopsis thaliana</em>. First, we looked at the influence of two factors on the kinetics of symptoms progression in receivers, namely the prevalence of infection in the population and the growth stage of the receiver plants at inoculation. We found that young plants were more sensitive to the protective effect of VOCs than older ones, and that high infection prevalence results in a slower disease progression in receivers. Second, we looked into the possibility that jasmonates could be VOC candidates. To do this, we examined the kinetics of symptoms progression in jasmonate-insensitive and wild-type plants, and the results showed that the protective effect vanished in the mutant plants. Third, we investigated the possibility that root communication would be also relevant. Our findings showed that the kinetics of symptom progression across receivers was further slowed down when plants were housed in the same pot. Together, our preliminary findings point to a potential function for disease prevalence in plant communities in regulating the severity of symptoms, this effect being mediated by VOCs.</p>
Supplementary data for: Transcriptomics of mosaic brain differentiation underlying complex division of labor in a social insect
<p>Concerted developmental programming may constrain changes in component structures of the brain, thus limiting the ability of selection acting on individual brain compartments to form an adaptive mosaic independent of total brain size or body size. Measuring patterns of gene expression underpinning brain scaling in conjunction with anatomical brain atlases can aid in identifying influences of concerted and/or mosaic evolution. Species exhibiting exceptional size and behavioral polyphenisms provide excellent systems to test predictions of brain evolution models by quantifying brain gene expression. We examined patterns of brain gene expression in a remarkably polymorphic and behaviorally complex social insect, the leafcutter ant <em>Atta</em> <em>cephalotes</em>. Approximately ~50% of differential gene expression observed among three morphologically, behaviorally, and neuroanatomically differentiated worker size groups was attributable to body size, but we also found strong evidence of differential brain gene expression unexplained by worker morphological variation. Transcriptomic analysis identified patterns of gene expression not linearly correlated with worker size but rather, in some cases, mirroring neuropil scaling. Additionally, we observed enriched gene ontology terms associated with nucleic acid regulation, metabolism, neurotransmission, and sensory perception, further supporting a relationship between brain gene expression and worker social role. These findings demonstrate that differential brain gene expression among polymorphic workers is linked to behavioral and neuroanatomical differentiation underpinning complex agrarian division of labor in <em>A</em>. <em>cephalotes</em>.</p>
Regional climate model simulations (CCLM 15km) of profiles for the MOSAiC period
<p>The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic. The data set includes simulation data of profiles and derived data for the MOSAiC period (Oct. 2019-Sept.2020). The regional climate model CCLM was used in a forecast mode (nested in ERA5) for the whole Arctic with 15 km resolution and is run with different configurations of sea ice data. These include the standard sea ice concentration taken from passive microwave data (AMSR2) with around 6 km resolution, and sea ice concentration from Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared data and MODIS sea ice lead data with 1 km resolution for the winter period (Nov. 2019-April 2020). Model output is available every 1h. In the vertical, the model extends up to 22 km with 60 vertical levels. On data below 10km are used. In addition to profiles, integrated water vapour and temperature for the lowest 2km were calculated. Values are grid-box averages at the ship position. Geostrophic wind was computed from the pressure gradient of the four surrounding grid points.</p> <p>Reference: Heinemann, G., Schefczyk, L., Willmes, S., Shupe, M., 2022: Evaluation of simulations of near-surface variables using the regional climate model CCLM for the MOSAiC winter period. Elem. Sci. Anth., 10 (1). DOI: 10.1525/elementa.2022.00033.</p> <p><strong>Project: </strong> Modelling the impact of sea-ice leads on the atmospheric boundary layer during MOSAiC (MISLAM)</p> <p><strong>Funding: </strong>Federal Ministry of Education and Research (BMBF), grant 03F0887A</p>
phoebe_gross_estuary_temp_mosaics_v1
<p>Temperature and bioenergetics data used in the paper "Complex temperature mosaics across space and time in estuaries: implications for current and future nursery function."</p>
Niche suitability and spatial distribution patterns of anurans in a unique Ecoregion mosaic of Northern Pakistan
<p><span>The lack of information regarding biodiversity states hampers designing and implementation conservation strategies and future targets. </span><span>Northern Pakistan </span><span>consists</span><span> of a unique ecoregion mosaic which supports a myriad of environmental niches for anuran diversity to flourish in comparison to the deserts and xeric shrublands throughout the rest of the country. In order to study the niche suitability, overlap and distribution patterns</span><span> </span><span>in Pakistan, we collected observational data for nine amphibian species across several distinct ecoregions by surveying 87 randomly selected locations </span><span> </span><span>from 2016 to 2018 in District Rawalpindi and Islamabad Capital Territory. Our model showed that the precipitation of the warmest and coldest quarter, distance to rivers and vegetation were the greatest drivers of anuran distribution, expectedly indicating that the presence of humid forests and proximity to waterways greatly influences the habitable range of anurans in Pakistan. Sympatric overlap between species occurred at significantly higher density in tropical and subtropical coniferous forests than in other ecoregion types. We </span><span>found species </span><span>such as </span><span><em>Minervarya</em> spp.</span><span>, <em>Hoplobatrachus</em> <em>tigerinus</em> and <em>Euphlyctis</em> spp. showed preference for the lowlands in proximal, central and southern parts of the study area proximal to urban settlements, little vegetation and higher average temperatures. The toads <em>Duttaphrynus</em> </span><em><span>bengalensis</span></em><span> </span><span>and </span><em><span>D. </span><span>stomaticus</span></em><span> had </span><span> </span><span>scattered distribution</span><span>s</span><span> throughout the study area with no clear preference for elevation. <em>Sphaerotheca</em> <em>pashchima</em> </span><span>showed a patchy distribution in the midwestern extent of the study area as well as the foothills to the north. <em>Microhyla</em> <em>nilphamariensis</em> also showed a wide distribution throughout the study area with a preference for both lowlands and montane terrain. Endemic frogs (<em>Nanorana</em> <em>vicina</em> and <em>Allopaa</em> <em>hazarensis</em>) were observed only in locations with higher elevations, higher density of streams and lower average temperatures as compared to the other seven species sampled.</span></p>
Supplementary data for: Transcriptomics of mosaic brain differentiation underlying complex division of labor in a social insect
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Patterns in bird and pollinator occupancy and richness in a mosaic of urban office parks across scales and seasons
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Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate landscape restoration
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Environmental DNA reveals fine-scale habitat associations for sedentary and resident marine species across a coastal mosaic of soft and hard-bottom habitats
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Uncovering the mosaic evolution of the carnivoran skeletal system
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Annotated Behaviour and Observability Dataset (ABODe)
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