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8,171 results for “mountaineering”
Lithologic Compilation of Basins Sampled for Cosmogenic 10Be in the Greater Caucasus Mountains
<p>Document ('Litho_Compilation.pdf') describing the geologic map compilation process for areas covering a suite of catchments sampled for cosmogenic 10Be within the Greater Caucasus Mountains. A shapefile ('mapunits.shp') which includes these mapped regions is provided.</p>
Floral preferences of mountain bumble bees are constrained by functional traits but flexible through elevation and season
Patterns of resource use by animals can clarify how ecological communities have assembled in the past, how they currently function, and how they are likely to respond to future perturbations. Bumble bees (Hymentoptera: Bombus spp.) and their floral hosts provide a diverse yet tractable system in which to explore resource selection in the context of plant-pollinator networks. Under conditions of resource limitation, the ability of bumble bees species to coexist should depend on dietary niche overlap. In this study, we report patterns and dynamics of floral morphotype preferences in a mountain bumble bee community based on ~13,000 observations of bumble bee floral visits recorded along a 1400 m elevation gradient. We found that bumble bees are highly selective generalists, rarely visiting floral morphotypes at the rates predicted by their relative abundances. Preferences also differed markedly across bumble bee species, and these differences were well-explained by variation in bumble bee tongue length, generating patterns of preference similarity that should be expected to predict competition under conditions of resource limitation. Within species, though, morphotype preferences varied by elevation and season, possibly representing adaptive flexibility in response to the high elevational and seasonal turnover of mountain floral communities. Patterns of resource partitioning among bumble bee communities may determine which species can coexist under the altered distributions of bumble bees and their floral hosts caused by climate and land use change.
Fig. 2 in Novelties from the Northern Mountains Complex of Madagascar IV: A new Rinorea Aubl. (Violaceae) of restricted range from the Galoko and Kalabinono massifs
Fig. 2. – Distribution map of Rinorea callmanderi Wahlert (stars) in Madagascar plotted on a map of forest cover in 2000 (grey) following HARPER et al. (2007). Areas outlined in black are protected areas.
Fig. 1. – Rinorea callmanderi Wahlert. A in Novelties from the Northern Mountains Complex of Madagascar IV: A new Rinorea Aubl. (Violaceae) of restricted range from the Galoko and Kalabinono massifs
Fig. 1. – Rinorea callmanderi Wahlert. A. Inflorescence; B. Flowering branch; C. Flower; D. Leaf, abaxial surface. [Callmander 582, G] [Drawing: R. L. Andriamiarisoa
Which bridge to cross, which mountain to climb – supramolecular photocatalysis outpacing conventional catalysis
<p>The file contains all raw data for the manuscript entitled "Which bridge to cross, which mountain to climb – supramolecular photocatalysis outpacing conventional catalysis" (i.e. Figs. 3-10).</p>
Determination of areas with release potential of snow avalanche in Sharr Mountains in the Republic of Kosovo
<p>Avalanches represent a very high risk in residential areas, road infrastructure, environment, and economy, and can have fatal consequences if the human factors do not take any action. Advances in geospatial technology and access to spatial data have enabled spatial analysis to assist in decision-making regarding spatial planning in avalanche-prone locations. Determining locations with snow avalanche discharge potential is a crucial step in the avalanche zoning process.</p> <p>This research deals with areas with snow avalanche potential disjunction, based mainly on topographic factors followed by meteorological ones. Topographic factors were mainly determined according to morphometric techniques, which are achieved through geographic information systems (GIS), as well as meteorological ones from statistical data and various processing of spatial and non-spatial data. Spatial analysis are also supported by geostatistical methods Fuzzy Logic and AHP, which in interaction with GIS have enabled the achievement of the purpose of this paper. The results from the spatial analysis have been verified based on comparison methods, such as the ROC method which was used during this final phase, in which the analysis has shown that the methods used in this research have given satisfactory results. As the main result, we obtained maps of areas with snow avalanche potential discharge in the study area relating to two geostatistical methods.</p>
Apatite and Zircon Helium Data from the Wallowa and Elkhorn Mountains
<p>Apatite and Zircon Helium thermochronometry data from the Wallowa and Bald Mountain Batholiths, Oregon, USA. Dataset accompanies the paper "Multiphase topographic and thermal histories of the Wallowa and Elkhorn Mountains, Blue Mountains Province, Oregon, USA" published in Tectonics.</p>
Figs 33–36. Trechus spp., elytra. 33. T in Revision of Trechus Clairville, 1806 of the Bale Mountains and adjacent volcanos, Ethiopia (Coleoptera, Carabidae, Trechini)
Figs 33–36. Trechus spp., elytra. 33. T. dodola sp. nov., holotype. 34. T. adaba sp. nov., paratype, ³. 35. T. harryi sp. nov., paratype, ³. 36. T. bayedika sp. nov., paratype, ³. The arrows point to the insertions of the discal setae and the preapical seta.
Data set: Land use and land cover change in a tropical mountain landscape of northern Ecuador: altitudinal patterns and driving forces
<p>Tropical mountain ecosystems are threatened by land use pressures, compromising their capacity to provide multiple ecosystem services. The analysis of landscape changes and their proximate driving forces is often qualitative and sectorial oriented, although local patterns and numerous interactions among socio-economic, demographic, and biophysical factors shape these socio-ecological systems. We characterized land use land cover (LULC) dynamics using Markov-chain probabilities by elevation and geographic settings and then, implementing the DPSIR holistic approach, we integrated them with a variety of freely available geospatial and temporal data into a Generalized Additive Model (GAM) to uncover the factors driving such landscape dynamics in a sensitive region of the northern Ecuadorian Andes. Our results demonstrated a dynamic and clear geographical pattern of distinct LULC transitions through time, explained by different combination of socio-economic factors, demographic and infrastructure variables and environmental parameters, from which topographic variables were the main drivers of change in this landscape. We found that deforestation of remnant native forest and agricultural expansion still occur in higher elevations, while land conversion toward anthropic environments, particularly significant expansion of floriculture and urban areas were observed in lower elevations to the east of the studied territory. Our findings also revealed an unexpected stability trend of paramo and a successional recovery of previous agricultural land to the west and center of the territory, which could be explained by agricultural land abandonment. However, the very low probability of persistence of montane forests found overall, highlights the greater threat to permanently lose the already vulnerable mountain native biodiversity. The methodological approach and our findings, demonstrating dynamic patterns through space and time and their explanatory drivers, could help local authorities and stakeholder to improve sustainably resource land management in vulnerable landscapes such as the tropical Andes in northern Ecuador.</p>
Fig. 2 in A revision of mountain species of the genus Taraxacum F. H. Wigg. (Compositae) in Corsica
Fig. 2. – Taraxacum pomposum Štepánek & Kirschner. [Scale bar = 5 cm]. [Briquet & al. s.n., G-BU] [Drawing by J. Štepánek]
Fig. 1. – chenes. A in A revision of mountain species of the genus Taraxacum F. H. Wigg. (Compositae) in Corsica
Fig. 1. – chenes. A. Taraxacum cucullatiforme Soest; B. T. litardieri Soest; C. T. renosense Soest. [Scale bar = 1 mm].
Fig. 4 in A revision of mountain species of the genus Taraxacum F. H. Wigg. (Compositae) in Corsica
Fig. 4. – Detail of flower head of Taraxacum pomposum Štepánek & Kirschner. [Briquet & al. s.n., G-BU]
Carbon and energy Eddy-covariance fluxes dataset collected at Frasne peatland (192ha, Jura Mountains, France)
<p>luxes and energy data measured by Eddy-covariance at Frasne peatland (ec1). Measurements start on 20-07-2018 and are regularly updated with new data. Data include carbon dioxide fluxes (CO2, µmol/m²/s), methane fluxes (CH4, µmol/m²/s), sensible heat fluxes (H, W/m²), latent heat fluxes (LE, W/m²) and evapotranspiration (ETR, mm/h).</p> <p>Zip file contain :</p> <ul> <li>metadata file (TOUR_en.json) which describe stations, sensors, variables and process</li> <li>csv file contain time series data for all variables by station</li> </ul> <p>Additional information on the measurement can be found in this website : <a href="https://data-snot.cnrs.fr/data-access/">https://data-snot.cnrs.fr/data-access/</a></p> <p>We also recommend to contact sno-tourbieres to talk about data acquisition and use : <a href="mailto:contact.sno-tourbieres@cnrs-orleans.fr">contact.sno-tourbieres@cnrs-orleans.fr</a></p>
Supplementary Information for Coverage of in situ climatological observations in the world's mountains (Thornton et al.)
<p>Supplementary Information for "Coverage of in situ climatological observations in the world's mountains" (Thornton et al., Frontiers in Climate).</p>
Fig. 1 in Novelties from the Northern Mountains Complex of Madagascar V: A new threatened Pandanus (Pandanaceae) from the Kalobinono massif
Fig. 1. – The Galoko mountain range with the Galoko summit on the left, the distinctly shaped domes of the Kalobinono on the right and rice plantations in the foothills. [Photo: S. Wohlhauser]
Fig. 62 in Mountains of millipedes. The family Odontopygidae in the Eastern Arc Mountains of Tanzania (Diplopoda, Spirostreptida)
Fig. 62. Xystopyge bentemarieae sp. nov., holotype, ♂ (NHMD 621766). A. Gonopod sternum (sternum 8). B. Sternum 9. C. Midbody dorsal limbus. D–F. First pair of legs. D. Anterior view. E. Lateral view. F. Ventral view. Abbreviations: APS = mesapical prefemoral sensilla; CXS = coxosternal setae; LPS = lateral prefemoral sensilla. Scale bars: A = 0.05 mm; B, E = 0.1 mm; C = 0.01 mm; D, F = 0.2 mm.
Fig. 70 in Mountains of millipedes. The family Odontopygidae in the Eastern Arc Mountains of Tanzania (Diplopoda, Spirostreptida)
Fig. 70. Xystopyge hippocampus sp. nov., holotype, ♂ (NHMD 621770). A–G. Left gonopod telopodite. A. Anterior view. B. As A, close-up of tip. C. Posterior view. D. Ventral view. E. Dorsal view. F. Mesal view. G. Dorso-mesal view, close-up of tip. H. Right solenomere, tip. Abbreviations: BSS = basal solenomeral spine; dtl1, dtl2 =distal telomeral lobes; sdl = soloenomeral distal lobe; sdp = solenomeral distal process; SLM =solenomere; TM = telomere. Scale bars: A, C–F = 0.2 mm; B, G = 0.1 mm; H not to scale.
Fig. 69 in Mountains of millipedes. The family Odontopygidae in the Eastern Arc Mountains of Tanzania (Diplopoda, Spirostreptida)
Fig. 69. Xystopyge hippocampus sp. nov., holotype, ♂ (NHMD 621770). A–C. First pair of legs. A. Sublateral view. B. Ventral view. C. Anterior view. D–G. Left gonopod coxa. D. Apical (ventral) view. E. Anterior view. F. Posterior view. G. Mesal view. H. Midbody dorsal limbus. I–J. Sternum 9. I. Posterior view. J. Subapical (subventral) view. Abbreviations: APS = mesapical prefemoral setae; BA = basomere of telopodite (broken); CU = cucullus; CXS = coxosternal setae; fb1, fb2 = fingerlike proplical bulges; LPS = lateral prefemoral setae; lr =longitudinal proplical ridge; mor = metaplical oblique ridge; MP =metaplica; PP = proplica; PPL = proplical lobe. Scale bars. A–G, I–J = 0.2 mm; H = 0.01 mm.
Fig. 73 in Mountains of millipedes. The family Odontopygidae in the Eastern Arc Mountains of Tanzania (Diplopoda, Spirostreptida)
Fig. 73. Xystopyge proplicatus Frederiksen & Enghoff, 2012, specimen from Kasanga (NHMD 621774). A–C. First pair of legs. A. Sublateral view. B. Anterior view. C. Ventral view. D. Sternum 9. E. Midbody dorsal limbus. F–I. Left gonopod coxa. F. Anterior view. G. Mesal view. H. Posterior view. I. Lateral view. J. Gonopod sternum. Abbreviations: APS = mesapical prefemoral setae; CXS = coxosternal setae; LPS = lateral prefemoral sensilla; MP = metaplica; MPF = metaplical flange; mph = metaplical 'hump'; mps = metaplical 'snout'; PP = proplica; ppr1, ppr2 = proplical processes; pps = proplical spine. Scale bars: A–D, F–J = 0.2 mm; E = 0.01 mm.
Fig. 57 in Mountains of millipedes. The family Odontopygidae in the Eastern Arc Mountains of Tanzania (Diplopoda, Spirostreptida)
Fig. 57. Syndesmogenus estelleae sp. nov., holotype, ♂ (NHMO), right gonopod telopodite, broken through torsotope and missing basal part; distal part of solenomere also broken off. A. Anterior view. B. Posterior view. C. Ventral view. D. Dorsal view. E. Transverse 'section' (break) through basal part of torsotope. F. Sublateral view. G–H. Distal part of solenomere. Abbreviations: BSS1, BSS2 = basal solenomeral spines; " d" = structure "d" sensu Ribaut (1907); SLM= solenomere; TM = telomere. Scale bars: A–D = 0.1 mm; E, H = 0.02 mm; F–G = 0.05 mm.
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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.