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566 results for “ponds”
Fig.11 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.11. Ranking of meteorological factors by the quantity of significant positive or negative correlations with the number of sun-basking Emys orbicularis in the interval 8d"Nsbd"21.
Fig.3 in The Experimental Data On Sun-Basking Activity Of European Pond Turtle Emys Orbicularis In Natural Climate In Latvia: Dynamics And Correlation With The Meteorological Factors
Fig.3. Basic forms of sun-basking activity of Emys Fig.4. Basic forms of sun-basking activity of Emys orbicularis registered in the study: lying in the orbicularis registered in the study: heating under shadow. the sun in the shoal.
Figure 1 in New data on pond snails (Mollusca: Gastropoda: Lymnaeidae) inhabiting the Ukrainian Transcarpathian: diversity, distribution and ecology
Figure 1. Map showing the localities of samples studied. Details for each sampling point are given in Table 1.
Figure 3 in Egg production and life history of Alona guttata Sars, 1862 (Cladocera, Chydoridae): implications for colonization of temporary ponds
Figure 3. Growth curve of Alona guttata in experimental conditions of controlled light conditions. (Fed with R. subcapitata, controlled temperature of 22 ± 2 °C and photoperiod of 16 h light/8 h dark.)
Figure 2. Alona guttata Sars, 1862 in Egg production and life history of Alona guttata Sars, 1862 (Cladocera, Chydoridae): implications for colonization of temporary ponds
Figure 2. Alona guttata Sars, 1862: (A) parthenogenetic female; (B) head pore; (C) post-abdomen details.
Figure 1 in Egg production and life history of Alona guttata Sars, 1862 (Cladocera, Chydoridae): implications for colonization of temporary ponds
Figure 1. Reproduction aspects and life cycle parameters of Alona guttata for 18 individuals grown under laboratory conditions. (Fed with R. subcapitata, controlled temperature of 22 ± 2 °C and photoperiod of 16 h light/8 h dark.)
Fig. 2 in Not only pond sliders: freshwater turtles in the water bodies of the Milan northern urban area (Italy)
Fig. 2 - Distribution maps of the species found in the study area. Circled letters: species records; when the position is approximated, the circle is dashed. P. subrufa records are omitted because the species was recovered far from the wetlands; also T. scripta is not shown, because the species was excluded from the study. Letters indicate the wetlands as in Fig. 1 (modified from https://d-maps.com/ and GeoPortale Regione Lombardia). / Mappa di distribuzione delle specie rinvenute nell'area di studio. Lettera cerchiata: specie presente; quando la posizione è approssimativa, il cerchio è tratteggiato. Il dato per P. subrufa è omesso in quanto la specie è stata rinvenuta lontano dalle zone umide; la distribuzione di T. scripta non è indicata poiché la specie non è oggetto del presente studio. Le aree umide sono indicate da lettere secondo la nomenclatura usata in Fig. 1 (modificato da https://d-maps.com/ e GeoPortale Regione Lombardia).
Fig. 1 in Not only pond sliders: freshwater turtles in the water bodies of the Milan northern urban area (Italy)
Fig. 1 - Study area (Lombardy region, Northern Italy). Letters indicate each studied wetland (modified from www.d-maps.com and GeoPortale Regione Lombardia). / Area di studio (Lombardia, Italia Settentrionale). Ogni lettera identifica un'area umida indagata (modificato da https://d-maps.com/ e GeoPortale Regione Lombardia).
Figure 3 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 3. Shells of Sinanodonta lauta and the temperate invasive lineage of S. woodiana from Kazakhstan. A-C) S. lauta, irrigation channel of the Ili River near Topar settlement [specimens RMBH biv764_7, RMBH biv763_1, and RMBH biv763_5, respectively]. D-F) Temperate invasive lineage of S. woodiana, Kapchagay Reservoir [specimens RMBH biv762_3, RMBH biv762_5, and RMBH biv762_2, respectively]. Scale bar = 20 mm. (Photo: Ekaterina Konopleva).
Figure 4 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 4. Shell morphometry and age of Sinanodonta lauta (N = 20) and the temperate invasive lineage of S. woodiana (N = 10) from Kazakhstan. A) Shell length vs shell height scatterplot. B) Shell length vs shell width scatterplot. C) Shell length vs age scatterplot. D) Shell elongation index vs shell convexity index scatterplot.
Figure 2 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 2. Habitat of a viable population of Sinanodonta lauta in Kazakhstan: irrigation channel of the Ili River near Topar settlement. (Photo: Ilya Vikhrev).
Figure 1 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 1. Ranges and population status of Sinanodonta lauta and the temperate invasive lineage of S. woodiana in Middle Asia. The circles indicate recent well-established populations, and the squares indicate old unconfirmed records of S. lauta (green) and S. woodiana (red). The green star indicates the site of putative initial introduction of S. lauta to Kazakhstan between 1961 and 1971. The color filling indicates freshwater basins, in which non-native populations of S. lauta and S. woodiana (light green) and S. woodiana (pink) were established. The species occurrence data are presented in Table 1.
Figure 5 in Phylogeographic affinities, distribution and population status of the non-native Asian pond mussels Sinanodonta lauta and S. woodiana in Kazakhstan
Figure 5. Median joining networks of the COI sequences of Sinanodonta spp. The list of sequences is given in Table 2. The red numbers near branches indicate the numbers of nucleotide substitutions between haplotypes. Size of circles corresponds to the number of available sequences for each haplotype (smallest circle = 1 sequence). A) Temperate invasive lineage of Sinanodonta woodiana (N = 72). B) S. lauta (N = 24).
Fig. 6. Meseres corlissi after protargol impregnation. A, B in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 6. Meseres corlissi after protargol impregnation. A, B. Ventral (A) and dorsal (B) view showing ciliary pattern, oral apparatus, and nuclear apparatus. C. Dorsal view showing elongated somatic cilia. D. Nuclear apparatus. AM, adoral membranelles; K1, somatic kinety 1; Ma, macronucleus; Mi, micronucleus; PM, paroral membrane; VM, ventral membranelles. Scale bars: 30 μm.
Fig. 2 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 2. Pseudomicrothorax agilis in life (A-D) and after protargol impregnation (E-I). A, B. Right side view of the same specimen showing conspicuous cortical ridges, contractile vacuole, macronucleus, and adoral membranelle 3. C. Ladder/web structure on furrow. D, I. Extrusomes, insert in D shows extruded form; non-extruded ones in D and I. E, F. Right and left side view of a representative specimen. G. Nasse kinetosomes and somatic kinety 1. H. Adoral membranelles 1-3 and oral primordium. CV, contractile vacuole; E, extrusomes; K1, K12, somatic kinety 1, 12; Ma, macronucleus; Mi, micronucleus; M1-3, adoral membranelles 1-3; NK, nasse kinetosomes; OP, oral primordium. Scale bars: 30 μm.
Fig. 4 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 4. Cyrtolophosis mucicola in life (A-C), after silver carbonate (D), and protargol impregnation (E-J). A. Cells with hyaline dwelling-tubes at low magnification; arrows indicate C. mucicola. B. Right side view shows the body shape and location of a contractile vacuole. C. A very late divider. D. Ventral view showing the paroral and the oblique kinety anterior to the adoral organelles (arrow). E, F. Ventral (E) and dorsal (F) view showing the somatic ciliature and nuclear apparatus, arrow denotes the oblique kinety anterior to the adoral organelles. G. Anterior body portion showing the elongated anterior cilia (arrow). H, I. Nuclear apparatus. J. Mid-divider with newly formed paroral and adoral organelles of the opisthe. CV, contractile vacuole; Ma, macronucleus; Mi, micronucleus; Mo, Maryna ovata. Scale bars: A = 100 μm; B-E, J = 20 μm.
Fig. 3 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 3. Nassula exigua after protargol impregnation of ventral (A, C-E) and dorsal (B) views showing ciliary pattern, nassulid organelles, pharyngeal rods, and nuclear apparatus. A-D. Variable position of the nuclear apparatus. Ma, macronucleus; Mi, micronucleus; NO, nassulid organelles; PR, pharyngeal rods. Scale bars: 20 μm.
Simulation data for convection in radiatively heated melt ponds on sea ice
<p>This dataset includes data and processing code from simulations of radiatively heated convection in melt ponds on sea ice. </p> <p> </p> <p>Simulation results produced using code written by Andrew Wells and Tom Langton for use with and exploiting examples from the code Dedalus:</p> <p>http://dedalus-project.org/index.html</p> <p> </p> <p>Contact andrew.wells@physics.ox.ac.uk for further details. </p> <p>The data included in this version correspond to figures 3 and S5 , movies S2 and S3, and code described in supporting information in the study:</p> <p><strong>Salinity control of thermal evolution of late summer melt ponds on Arctic sea ice </strong></p> <p>Joo-Hong Kim<sup>1</sup>, Woosok Moon<sup>2,3</sup>, Andrew J. Wells<sup>4</sup>, Jeremy P. Wilkinson<sup>5</sup>, Tom Langton<sup>4</sup>, Byongjun Hwang<sup>6,7</sup>, Mats A. Granskog<sup>8 </sup>and David Rees Jones<sup>9</sup></p> <p><sup>1</sup>Korea Polar Research Institute, Incheon, South Korea</p> <p><sup>2</sup>Nordic Institute for Theoretical Physics, Stockholm, Sweden</p> <p><sup>3</sup>Department of Mathematics, Stockholm University, Stockholm, Sweden</p> <p><sup>4</sup>Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK</p> <p><sup>5</sup>British Antarctic Survey, Cambridge, UK.</p> <p><sup>6</sup>Scottish Association for Marine Science, Oban, UK</p> <p><sup>7</sup>University of Huddersfield, Huddersfield, UK</p> <p><sup>8</sup>Norwegian Polar Institute, Fram Centre, Tromsø, Norway</p> <p><sup>9</sup>Dept. of Earth Sciences, University of Oxford, Oxford, UK</p> <p> </p> <p>Citation:</p> <p>Kim, J.-H., Moon, W., Wells, A. J., Wilkinson, J. P., Langton, T., Hwang, B., Granskog, M. A., & Rees Jones, D. W. (2018). Salinity control of thermal evolution of late summer melt ponds on Arctic sea ice. Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL078077</p> <p>Alternative weblink:</p> <p>https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL078077</p> <p> </p> <p>v1: submitted during review of the manuscript.</p> <p>v2: updated with details of accepted publication.</p>
Model results for `Surface pond energy absorption across four Himalayan glaciers accounts for 1/8 of total catchment ice loss'
<p>Model setup (setup.mat) and outputs (allkeyres.mat, postproc.mat) for 5000 runs of Monte Carlo supraglacial pond energy-balance modelling in the Langtang catchment of Nepal. The full set of results are included for the median model run (run_..._n1645.zip).</p> <p>Also included are flux gate results for calculation of emergence velocity (fgates...zip).</p>
Data for the analysis from "Evidence for positive priming of leaf litter decomposition by contact with eutrophic pond sediments"
<p>These are the data files used in the analysis of the results of the experiments that are reported in the manuscript "Evidence for positive priming of leaf litter decomposition by contact with eutrophic pond sediments". More details on the analysis can be found in at: https://github.com/KennyPeanuts/sediment_priming</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.