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13,117 results for “Maps”
Map 1 in The third hypogean Domene species from Greece (Coleoptera: Staphylinidae: Paederinae)
Map 1: Distributions of hypogean Domene species recorded from Greece and Albania: Domene vailatii (black star); D. giachinoi (white circle); D. behnei (black circle); D. ziui (white diamond).
The Sloan Digital Sky Survey Reverberation Mapping Project: the XMM-Newton X-ray source catalog and multi-band counterparts
<p>The XMM-RM project was designed to provide X-ray coverage of the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) field. 41 XMM-Newton exposures, placed surrounding the Chandra AEGIS field, were taken, covering an area of 6.13 deg2 and reaching a nominal exposure depth of ∼ 15 ks. We present an X-ray catalog of 3553 sources detected in these data, using a PSF-fitting algorithm and a sample selection threshold that produces a ∼ 5% fraction of spurious sources. The Bayesian method “NWAY” was employed to identify counterparts of the X-ray sources from the optical Legacy and the IR unWISE catalogs, using a 2-dimensional unWISE magnitude-color prior created from optical/IR counterparts of Chandra X-ray sources. 932 of the XMM-RM sources are covered by SDSS spectroscopic observations. 89% of them are classified as AGN, and 71% of these AGN are in the SDSS-RM quasar catalog. Among the SDSS-RM quasars, 80% are detectable at the depth of the XMM observations. Forced X-ray photometry is performed at the positions of the undetected SDSS-RM quasars.</p>
Maps of northern peatland extent, depth, carbon storage and nitrogen storage
<p>This dataset is grids of peatland extent, peat depth, peatland organic carbon storage, peatland total nitrogen storage and approximate extent of ombrotrophic/minerotrophic peatlands. </p> <p>The grids are geotiff files in 10 km pixel resolution projected in the World Azimuthal Equidistant projection. Note that the peat depth grid shows potential peat depth everywhere,also where there is no peatland cover. For files on peatland organic carbon, total nitrogen extent and extent of ombrotrophic/minerotrophic peatlands, there are separate files for Histosols (non-frozen peatlands) and Histels (frozen peatlands).</p> <p>For further details on how the data was created we refer to the paper by Hugelius et al (2020) in the journal Proceedings of the National Academy of Sciences of the United States of America: "Large stocks of peatland carbon and nitrogen are vulnerable to permafrost thaw" (https://www.pnas.org/cgi/doi/10.1073/pnas.1916387117)</p>
Data from: Ecology shapes epistasis in a genotype-phenotype-fitness map for stick insect colour
<p>Genetic interactions such as epistasis are widespread in nature and can shape evolutionary dynamics. Epistasis occurs due to non-linearity in biological systems, which can arise via cellular processes that convert genotype to phenotype and via selective processes that connect phenotype to fitness. Few studies in nature have connected genotype to phenotype to fitness for multiple potentially interacting genetic variants. Thus, the causes of epistasis in the wild remain poorly understood. Here, we show that epistasis for fitness is an emergent and predictable property of non-linear selective processes. We do so by measuring the genetic basis of cryptic colouration and survival in a field experiment with stick insects. We find that colouration exhibits a largely additive genetic basis, but with some effects of epistasis that enhance differentiation between colour morphs. In terms of fitness, different combinations of loci affecting colouration confer high survival in one host-plant treatment. Specifically, non-linear correlational selection for specific combinations of colour traits in this treatment drives the emergence of pairwise and higher-order epistasis for fitness at loci underlying colour. In turn, this results in a rugged fitness landscape for genotypes. In contrast, fitness epistasis was dampened in another treatment, where selection was weaker. Patterns of epistasis that are shaped by ecologically based selection could be common, and central to understanding fitness landscapes, the dynamics of evolution, and potentially other complex systems.</p>
Fig. 2 in Malacological mapping in Austria distribution of the Austrian spring snail Bythinella austriaca (v. F , 1857) in the federal state of Salzburg
Fig. 2: Distribution map of B. austriaca for the federal state of Salzburg. The results presented here are based upon local abundances of the gastropod published in literature and detected during own faunistic mapping campaigns.
Fig. 3 in Malacological mapping in Austria distribution of the Austrian spring snail Bythinella austriaca (v. F , 1857) in the federal state of Salzburg
Fig. 3: Main biotopes colonized by the Austrian spring snail and their statistical evaluations. As can be clearly recognized from the graph, highest probabilities of occurrence and related population densities could be determined for spring brooks, followed by ponds, larger brooks, moors, and intermediately sized lakes.
Map 2 in New oriental Oedichirus (Staphylinidae, Paederinae, Pinophilini)
Map 2: Distribution of the O. Alatus group. Red circles: O. alatus; blue circles: O. chapmani; green circle: O. sihanouki; blue square: O. vexans and sp. A5; red square: O. falcifer; green lozenge: O. patcholatkoi; red lozenge: O. guomindangi; green square: O. astoni; blue stars: O. javanicus; red star: sp. A1; blue triangle: sp. A3; red triangles: sp. A4.
Map 1 in New oriental Oedichirus (Staphylinidae, Paederinae, Pinophilini)
Map 1: Distribution of Oedichirus longipennis (records from Honshu and Kyusyu omitted. Empty circles represent specimens not seen, recorded as O. lewisius).
Full map of the PHENIX magnetic field
<p>The calculated full map of the magnetic field of the PHENIX experiment at RHIC</p> <p>The file <strong>fullmap.out</strong> (approx.50MB when unszipped) contains a full field map in the volume</p> <ul> <li>-200cm <= z <= 200cm ; 0 <= r <= 400cm ; phi in 3deg steps</li> <li>+zet is north (Bzet is negative because the field points south)</li> <li>0 deg is towards the back of the mfh (west), 90deg is up.</li> </ul> <p>Note: for |z| > 100 or r > 300 bzet and brad are the same for all phi, bphi is set to 0<br> according to previous discussions. It means that this map is completely useless inside the<br> return yoke, but it should be reasonably<br> good where the detectors are.<br> </p>
Quantitative Nanoscale Absorption Mapping: A Novel Technique To Probe Optical Absorption of Two-Dimensional Materials
<p>Two-dimensional semiconductors, in particular transition metal dichalcogenides and related heterostructures, have gained increasing interest as they constitute potential new building blocks for the next generation of electronic and optoelectronic applications. In this work, we develop a novel nondestructive and noncontact technique for mapping the absorption properties of 2D materials, by taking advantage of the underlying substrate cathodoluminescence emission. We map the quantitative absorption of MoS<sub>2</sub> and MoSe<sub>2</sub> monolayers, obtained on sapphire and oxidized silicon, with nanoscale resolution. We extend our technique to the characterization of the absorption properties of MoS<sub>2</sub>/MoSe<sub>2</sub> van der Waals heterostructures. We demonstrate that interlayer excitonic phenomena enhance the absorption in the UV range. Our technique also highlights the presence of defects such as grain boundaries and ad-layers. We provide measurements on the absorption of grain boundaries in monolayer MoS<sub>2</sub> at different merging angles. We observe a higher absorption yield of randomly oriented monolayers with respect to 60° rotated monolayers. This work opens up a new possibility for characterizing the functional properties two-dimensional semiconductors at the nanoscale.</p> <p> </p> <p>This dataset contains some of the raw data for Figures 1 and 2.</p>
Evoregions: mapping shifts in phylogenetic turnover across biogeographic regions
<p>1. Biogeographic regionalization offers context to the geographical evolution of clades. The positions of bioregions inform both the spatial location of clusters in species distribution and where their most important boundaries are. Nevertheless, defining bioregions based on species distribution alone only incidentally recover regions that are important during the evolution of the focal group. The extent to which bioregions correspond to centers of independent diversification depends on how clusters of species composition naturally reflect the radiation of single clades, which is not the case when mixed colonization occurred.</p> <p>2. Here, we showed that using phylogenetic turnover based on fuzzy sets, instead of species composition, led to adequate detection of evolutionarily important bioregions, that is, regions that account for the independent diversification of lineages. Mapping those evoregions in the phylogenetic tree quickly reveals the timing and location of major shifts of biogeographic regions. Moreover, evolutionary transition zones are easily mapped, and permits the recognition of regions with high phylogenetic overlap.</p> <p>3. Our results using the global radiation of rats and mice (Muroidea) recovered four evoregions—three major evolutionary arenas corresponding to the Neotropics, a Nearctic-Siberian, and a Paleotropical-Australian evoregion, and a fourth and fuzzy Afro-Palearctic evoregion. Transition zones among evoregions were minimized when compared to other methods considering or not phylogenetic information, that is, the affiliation of cells to their assigned region was higher using evoregions than other approaches. Such higher affiliation values result from the lower phylogenetic overlap within evoregions, as expected when single radiations are accounted for as best as possible.</p> <p>4. Evoregions is a useful framework whenever the question is related to the identification of the most important centers of a group's diversification history and its evolutionary transitions zones.</p>
Map 1 from: Xie W-Y, Zhou J-J, Hong X, Wen F (2020) Didymocarpus lobulatus (Gesneriaceae), a new species from Zhejiang Province, East China. In: Shui Y-M, Chen W-H, Ren M-X, Wen F, Hong X, Qiu Z-J, Wei Y-G, Kang M (Eds) Taxonomy of Gesneriaceae in China and Vietnam. PhytoKeys 157: 145-153. https://doi.org/10.3897/phytokeys.157.30349
Map 1 The distribution areas of Didymocarpus lobulatus and its congeners in Zhejiang prov.: D. lobulatus D. cortusifolius D. salviiflorus D. heucherifolius (in semi-elliptical region, the arrows point).
Linkage maps and phenotypic data for Bainbridge et al. 2020
Limited genetic parallels underlie convergent evolution of quantitative pattern variation in mimetic butterflies <p>Mimetic systems allow us to address the question of whether the same genes control similar phenotypes in different species. Although widespread parallels have been found for major effect loci, much less is known about genes that control quantitative trait variation. In this study, we identify and compare the loci that control subtle changes in the size and shape of forewing pattern elements in two <i>Heliconius</i> butterfly co-mimics. We use quantitative trait locus (QTL) analysis with a multivariate phenotyping approach to map the variation in red pattern elements across the whole forewing surface of <i>Heliconius erato</i> and <i>Heliconius melpomene</i>. These results are compared to a QTL analysis of univariate trait changes, and show that our resolution for identifying small effect loci is somewhat improved with the multivariate approach, but also that different loci are detected with these different approaches. QTL likely corresponding to the known patterning gene <i>optix</i> were found in both species but otherwise, a remarkably low level of genetic parallelism was found. This lack of similarity indicates that the genetic basis of convergent traits may not be as predictable as assumed from studies that focus solely on Mendelian traits.</p>
Supplementary material 3 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement C - Labour Force Distribution Maps of Natural Resource Sectors in Canada
Supplementary material 2 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement B - GIS Procedure for Mapping Labour Force Distribution
Supplementary material 1 from: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada's Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881
Supplement A - GIS Procedure for Population Estimation
Snow depth mapping with an Unmanned Aerial Vehicles in heterogeneous mountain site (Izas Catchment, Pyrenees)
<p>Recent developments in unmanned aircraft vehicles (UAV) and Structure for Motion (SfM photogrammetry or simply SfM) algorithms have proved their worth for determining snow depth distribution. This dataset presents UAV and Terrestrial Laser Scanner (TLS) snow depth obsrevations obtained in complex alpine terrain in the Pyrenees. UAV observations have been acqired with a fixed-wing UAV working in RTK mode with an RGB camera. During the 2018-19 season, seven field campaigns (13 UAV flights) were undertaken covering 0.48 km2 . Several UAV observations were obtained under different light conditions and flight block configurations (altitude and image overlaps) in the same day with the aim if evaluating UAV observations when compared ti a well-established close range remote sensing technique (TLS).</p>
Landscape mosaic map archive for "Forest cover dynamics in the shifting landscape mosaic of the continental United States from 2001 to 2016"
<p>This data archive contains two zipfiles, each containing a raster map of the continental United States showing the landscape mosaic classification at 30-meter resolution as described in the citing publication.</p>
Supplementary Tables (Mapping the Associations of the Plasma Lipidome With Insulin Resistance and Response to an Oral Glucose Tolerance Test)
<p><span><b>Context: </b>Insulin resistance (IR) remained a global health challenge. Lipidomics offers a unique opportunity to identify biomarkers; a key step towards understanding mechanisms of IR associated with abnormal lipid metabolism.</span></p> <p class="CxSpMiddle"><span><b>Objective:</b> To determine whether plasma lipid species are associated with indices of insulin resistance and to evaluate the plasma lipidome response to an OGTT. </span></p> <p><span><b>Design and Setting: </b>Community based cross-sectional </span></p> <p><span><b>Participants and sample: </b>Plasma samples (collected at 0 and 120 min during an OGTT) from non-obese, young adults aged between 18-34 years (n = 246) were analysed using liquid chromatography tandem mass spectrometry.</span></p> <p><span><b>Main outcome measures: </b>Using linear models (controlling for age, sex, BMI, total cholesterol, HDL-cholesterol and triglycerides), the associations between indices of insulin resistance and individual lipid species or changes in lipid levels during an OGTT were tested.</span></p> <p><span><b>Results: </b>Some (213) and (199) lipid species associate with HOMA-IR and insulin AUC respectively. Alkylphosphatidylcholine (10), alkenylphosphatidylcholine (23) and alkylphosphatidylethanolamine (6) species were associated with insulin AUC in men only. Species of phosphatidylcholine (7) and sphingomyelin (5) were associated in women only. In response to an oral glucose tolerance test, a perturbation in the plasma lipidome, particularly in acylcarnitine species was observed; and the changes in many lipid species were associated with insulin AUC. </span></p> <p><span><b>Conclusions: </b>The plasma lipidome and changes in lipid levels during an OGTT were associated with indices of insulin resistance. These findings underlie the involvement of molecular lipid species in the pathogenesis of insulin resistance and possibly crosstalk between insulin resistance and sex-specific regulation of lipid metabolism. </span></p>
Kivalina ground ice map
<p>Ground ice classification for a ~ 65 km<sup>2 </sup>area near Kivalina, Northwest Alaska.</p> <p>Source: Manual image interpretation, field notes</p> <p> </p> <p>Code:</p> <p>0: ice poor | 1: ice rich | 2: indeterminate | 3: infrastructure</p> <p>Include: Included in comparison with late-season subsidence</p> <p>0: No | 1: Yes</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.