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214 results for “mountain lake”
FIGURE 20 in Late Quaternary Chrysophycean stomatocysts in a Southern Carpathian mountain lake, including the description of new forms (Romania)
FIGURE 20. Relative abundances and zonation of the most common diatoms in Lake Gales. Diatoms were ordered according to their occurrences.
FIGURES 1–19 in Late Quaternary Chrysophycean stomatocysts in a Southern Carpathian mountain lake, including the description of new forms (Romania)
FIGURES 1–19 Scanning electron and light microscope pictures of new morphotypes were found in Lake Gales sediment core (Gales–3) Figs 1–7 Scanning electron microscope Figs 8–19. Light microscope Figs 1, 8–9 C500; Figs 2, 10–11 C501; Figs 3, 12–13 C502; Figs 4, 14–15 C503; Figs 5, 16 C504; Figs 6, 17–18 C505; Figs 7, 19 C506. Scale bar is 10 µm in LM pictures.
FIGURES 20–42 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURES 20–42. Geissleria frolikhiensis sp. nov. Figs 20–42: Figs 20–35: Valve view. Figs 36–39: Live cells with chloroplast structure, explanation in the text. Fig. 40: External valve view, note biseriate striae near axial area (arrow). Figs 41, 42: Internal valve view, note props in areolae and elongated subpolar pores (annulus). (20–39: LM; 40–42: SEM). Scale bar for LM: 10 μm.
FIGURES 2–19 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURES 2–19. Geissleria baicalosimilis sp. nov. Figs 2–19: Figs 2–10: Valve view. Fig. 11: Frustule view of girdle. Figs 12–14: Live cells with chloroplast structure, explanation in the text. Figs 15, 16: External valve view, note isolated pore in fig. 16 (arrow). Fig. 17: Internal valve view, note isolated pore structure (arrow). Fig. 18 External view of valve end, note structure of elongated subpolar pores (annulus). Fig. 19. Internal view of valve end, note annulus structure with warty outgrowths (2–14: LM; 15–19: SEM). Scale bar for LM: 10 μm.
FIGURES 48–51. Geissleria lacusbaicalensis. Fig. 48 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURES 48–51. Geissleria lacusbaicalensis. Fig. 48: Internal view of central part of valve, note isolated pore and props in areolae. Encyonema sp. Fig. 49. Internal view of central part of valve, note slit like areolae with presence of props. Placoneis margarita. Fig. 50: Internal view of valve end, note props present around the edges of the areolae. Cymbella microlacusbaicalensis. Fig. 51: Internal view of valve end, note slit like areolae and presence of props in pores within pore fields. (SEM).
FIGURES 44–47. Geissleria pseudobadma. Figs 44, 45 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURES 44–47. Geissleria pseudobadma. Figs 44, 45: Internal view of valve ends, note slit like areolae structure with evident props and elongated subpolar pores (annulus) with warty outgrowths; isolated pores at valve pole. G. irregularis. Fig 46: Internal view of valve end, note elongated subpolar pores (annulus) with warty outgrowths. Fig. 47. G. lacusbaicalensis. (SEM).
FIGURE 1 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURE 1: Map showing geographical position of Lake Frolikha close connected with Lake Baikal. First arrow indicates sampling in Lake Frolikha. Second arrow indicates sampling place in Lake Baikal.
FIGURE 43 in Phylogenetic position of the diatom genus Geissleria Lange-Bertalot & Metzeltin and description of two new species from Siberian mountain lakes
FIGURE 43. Phylogenetic analysis constructed from an alignment with 88 sequences and 1137 characters (partial SSU rDNA gene and partial rbcL gene). Values above vertical lines are Bayesian posterior probabilities (<90 are not shown), values below vertical lines are bootstrap support as maximum likelihood analyses (<50 are not shown). Species from the genera Stephanodiscus and Skeletonema were chosen as outgroup.
Figure 3 in Congruent patterns of lineage diversity in two species complexes of planktonic crustaceans, Daphnia longispina (Cladocera) and Eucyclops serrulatus (Copepoda), in East European mountain lakes
Figure 3. Relationship of eight clades of the Eucyclops serrulatus complex, assessed by Bayesian inference of phylogeny, and haplotype variation of the 12S rRNA gene within clade I. The phylogenetic tree was based on the 1299-bp-long alignment consisting of fragments of mitochondrial genes for 12S rRNA and cytochrome b, and the nuclear gene for 18S rRNA. The scale bar represents genetic distance; numbers at nodes indicate branch support (as posterior probabilities). Haplotype network representing the variation within clade I is based on 43 sequences of the 383-bp-long 12S rDNA fragment. Individuals from the three main mountain regions are indicated by different shading (as in Figs 1, 2) in both tree and network: the Carpathians in dark grey (N = 24), Macedonian-Thracian massif in white (N = 9), and Dinaric Alps in light grey (N = 26). Mountain range abbreviations: Bje, Bjelasica; Dur, Durmitor; Pir, Pirin; Pro, Prokletije; Ret, Retezat; Ril, Rila; Sar, Šar Planina; Tat, Tatra Mountains; Tre, Treskavica; Zel, Zelengora. Countries are indicated by two-letter codes (see Table 1).
Figure 2 in Congruent patterns of lineage diversity in two species complexes of planktonic crustaceans, Daphnia longispina (Cladocera) and Eucyclops serrulatus (Copepoda), in East European mountain lakes
Figure 2. Sequence variation of the 528-bp-long fragment of the 12S rRNA gene within the Daphnia longispina complex from lakes of the studied East European mountain ranges. This is shown in a maximum likelihood tree (A) consisting only of sequences from the studied region (each haplotype represented once per lake), and in a parsimony network (B) of haplotypes of D. longispina s.s., amongst which 63 reference sequences from other European localities were also included. Three main mountain regions from this study are differentiated by shading: the Carpathians in dark grey, Macedonian-Thracian massif in white, and Dinaric Alps in light grey. Haplotypes from other localities, only included in the network, are enclosed by dashed lines. Mountain range abbreviations: Bje, Bjelasica; Dur, Durmitor; Pir, Pirin; Pro, Prokletije; Ret, Retezat; Ril, Rila; Tat, Tatra Mountains; Tre, Treskavica; Zel, Zelengora. Countries are indicated by two-letter codes (see Table 1).
Figure 1 in Congruent patterns of lineage diversity in two species complexes of planktonic crustaceans, Daphnia longispina (Cladocera) and Eucyclops serrulatus (Copepoda), in East European mountain lakes
Figure 1. Map of the sampled Eastern European mountain ranges (Bje, Bjelasica; Dur, Durmitor; Pir, Pirin; Pro, Prokletije; Ret, Retezat; Ril, Rila; Sar, Šar Planina; Tat, Tatra Mountains; Tre, Treskavica; Zel, Zelengora). The main mountain regions are differentiated by shading: the Carpathians in dark grey, Macedonian-Thracian massif in white, and Dinaric Alps in light grey. Countries are indicated by two-letter codes (see Table 1).
An intra-annual 30-m dataset of small lakes of the Qilian Mountains, northeast of the Qinghai–Tibet Plateau, for the period 1987-2020
<p>Using Google Earth Engine platform and 13,297 Landsat TM/ETM+/OLI images, we released an intra-annual 30-m dataset of small lakes with different water body frequency thresholds (0%, 25%, 50%, 75%, 100%) of the Qilian Mountains region of the Tibetan Plateau from 1987 to 2020, containing 8 attributes: code, perimeter (km), area (km<sup>2</sup>), latitude, longitude, elevation (m), area error, relative error (%), and subregion. Our published dataset can provide support for small lakes studies across the Tibetan Plateau and other alpine regions of the world. For more questions or issues regarding the dataset, please contact Chao Li (0218732@stu.lzjtu.edu.cn) and Shiqiang Zhang (zhangsq@nwu.edu.cn).</p>
The shrinking Great Salt Lake contributes to record high dust-on-snow deposition in the Wasatch Mountains during the 2022 snowmelt season
<p>This site contains inputs/outputs used for atmospheric backward trajectory analyses (.zip files) and snowmelt mass and energy balance modeling (all other files) in this study. The abstract of the study is below: </p> <p>Seasonal snowmelt from the Wasatch Mountains of northern Utah, USA is a primary control on water availability for the metropolitan Wasatch Front, surrounding agricultural valleys, and the Great Salt Lake (GSL). Prolonged drought, increased evaporation due to warming temperatures, and sustained agricultural and domestic water consumption have caused GSL water levels to reach record low stands in 2021 and 2022, resulting in increased exposure of dry lakebed sediment. When dust emitted from the GSL dry lakebed is deposited on the adjacent Wasatch snowpack, the snow is darkened, and snowmelt is accelerated. Regular observations of dust-on-snow (DOS) began in the Wasatch Mountains in 2009, and the 2022 season was notable for both having the most dust deposition events and the highest snowpack dust concentrations. To understand if record high DOS concentrations were linked to record low GSL levels, dust source regions for each dust event were identified through a backward trajectory model analysis combined with aerosol measurements and field observations. Backward trajectories indicated that the exposed lakebed of the GSL likely contributed 23% of total dust deposition and had the highest dust emissions per surface area. The other potential primary contributors were the Great Salt Lake Desert (45%) and the Sevier + Tule dry lakebeds (17%), both with lower per-area emissions. The impact on snowmelt, quantified by mass and energy balance modeling in the presence and absence of snow darkening by dust, was over two weeks (17 days) earlier. The impact of dust on snowmelt could have been more dramatic if the spring had been drier, but frequent snowfall buried dust layers, delaying dust-accelerated snowmelt later into the melt season.</p>
Data from: Rapid evolution of thermal plasticity in mountain lake Daphnia populations
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Data from: Phytoplankton responses to nitrogen enrichment in Pacific Northwest, USA mountain lakes
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Assisted colonization of a regionally native predator impacts benthic invertebrates in fishless mountain lakes
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Data from: Abundance and morphometry changes across the high-mountain lake-size gradient in the tropical Andes of Southern Ecuador
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FIGURE 23 in Subfossil chironomids (Diptera, Chironomidae) of lakes in the Tatra Mountains an illustrated guide
FIGURE 23. Prodiamesa sp.: 23—head capsule.
FIGURE 20 in A new species and new distribution records for Braconidae from Mountain Lake Biological Station in southwestern Virginia and a redescription of Pentapleura foveolata Viereck
FIGURE 20. Coelinius hopkinsii Ashmead, scutellum, dorsal view. Arrow=axilla. Scale bar=0.10 mm.
FIGURE 15 in A new species and new distribution records for Braconidae from Mountain Lake Biological Station in southwestern Virginia and a redescription of Pentapleura foveolata Viereck
FIGURE 15. Coelinius wrayi Kula, new species, holotype, lateral habitus. Scale bar=1.00 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.