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FIGURE 7 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 7. Plot of drag force versus velocity for each of the 10 different morphotypes used in this study. Only shells that had a uniform diameter of approx. 5 cm from aperture to venter are shown.
FIGURE 5 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 5. Coefficient of drag results from Scheme 1 (green) and Scheme 3 (blue) plotted against Re compared against the data from Jacobs (1992; black). Comparisons shown are for Sphenodiscus (left) and Oppelia (right).
FIGURE 3 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 3. An illustration of the computational domain of the simulation. The model target (an ammonoid in this case) is shown as a circle. Each arrow indicates a distance from the shell to a target face of the computational domain. These arrows represent the straight-line distance between the nearest edge of the shell (not the shell's midpoint) and the corresponding wall as per the methods of Shiino, Kuwazuru, and Yoshikawa (2009). Dimensions in the figured example correspond to those of Scheme 3 (see Table 1)
FIGURE 4 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 4. Hemisphere simulation data plotted as velocity versus % difference from the literature baseline (Blevins 1984). Velocities shown are within a range in which the drag coefficient of a hemisphere is relatively stable around a value of 1.17 (Blevins, 1984). The drag values used to derive this plot are given in Appendix 3.
FIGURE 1 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 1. An outline of the workflow from model creation to completed simulation. Boxes are colored based on the general process they are included in: Case generation (blue), Mesh generation (purple), and numerical set-up (green). Two tracks are shown for case generation: one in which a model is created in blender from measurement data (below the dotted line) and the other where the model is created using a Structure from Motion technique such as laser scanning or photogrammetry (above the dotted line). Software used in each process is noted in "()" outside its respective step.
FIGURE 11 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 11. Plots of pressure overlain with water velocity vectors for the Serpenticone and Oxycone shells at both 15 cm/s (A) and 5 cm/s (B) inlet velocities. At 15 cm/s the flow around the Serpenticone shell is more chaotic and there is a buildup of pressure at around the trailing coils compared to the Oxycone shell. This difference mostly disappears at 5 cm/s.
FIGURE 9 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 9. Water velocity around the Sphenodiscus shell at inlet velocities of 15 cm/s (A) and 5 cm/s (B). Areas of slow water velocity caused by viscous interactions are larger to the sides and immediately behind the shell at the lower velocity because water is less readily shed.
Data from: Vegetation dynamics 1946–2018 in an old-growth conifer forest
<p>We analysed ground vegetation in 250 plots in 2018 in the old-growth <em>Picea abies-</em>dominated<em> </em>forest Säby Västerskog, SE Sweden as a follow-up of studies in 1946 and 1998 with the same layout of plots. The vegetation changes were not clearly directional: the species composition in 2018 was intermediate between that of 1946 and 1998, whereas in 1998 species richness was higher and with the unique presence of a number of species indicating small-scale disturbances. <em>Vaccinium myrtillus</em> increased in cover since 1946 and <em>Avenella flexuosa</em> decreased. This goes against regional trends, attributed to climate warming and changes in nitrogen deposition. Regional changes are overshadowed by fine-scale disturbances and micro-successions.</p>
FIGURE 6 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 6 | Stages of gonadal maturation at each age class for individuals of Serrasalmus marginatus (non-native; left) and S. maculatus (native; right) piranha species in the upper Paraná River floodplain, at each sampled time-period. The classification was based on Brown-Peterson et al. (2011). A. and B. 1986–1988: first time-period; C. and D. 2000–2002: second time-period; E. and F. 2010–2012: third timeperiod. CPUE values are fewer when compared to total CPUE values since individuals without standard length, sex and maturation stage were not considered in the estimation of age.
FIGURE 3 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 3 | Age frequencies of both non-native (left) and native species (right) for each sex and each sampled time-period in the upper Paraná River floodplain. A. and B. 1986–1988: first time-period; C. and D. 2000–2002: second time-period; E. and F. 2010–2012: third time-period. CPUE values are fewer when compared to total CPUE values since individuals without standard length and sex were not considered in the estimation of age.
FIGURE 1 in Adjustments in population and reproductive dynamics of native and non-native congeneric species during 26 years after invasion
FIGURE 1 | Map of the upper Paraná River floodplain showing its main tributaries. Sampling sites are marked: rivers and channels (circles), connected (squares), and isolated (triangles) floodplain lakes. Color of symbols are for Paraná (black), Ivinheima (white), and Baía (grey) rivers.
Рис. 5. Общая схема Δинамики эпизоотии в приамурской попуΛяции коΛьчатого шеΛкопряΔа. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата сбора гусениц на территории УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 5. General scheme of the Lackey moth epizootic dynamics for the Cisamurian population. Vertical: number of the deaths, (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. — death from the NPV; — death from the bacteriosis in Lackey Moth (Malacosoma Neustria L., Lasiocampidae, Lepidoptera) Population During The Eruptive Phase
Рис. 5. Общая схема Δинамики эпизоотии в приамурской попуΛяции коΛьчатого шеΛкопряΔа. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата сбора гусениц на территории УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 5. General scheme of the Lackey moth epizootic dynamics for the Cisamurian population. Vertical: number of the deaths, (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. — death from the NPV; — death from the bacteriosis
Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder
Рис. 5. РаспреΑеΛение рыб в верхнем бьефе воΑохраниΛища по размерным группам в периоΑ осенней миграции. Размеры рыб: а — меΛкие (Αо 10 см); б — среΑние (10–20 см); в — крупные (боΛее 20 см) Fig. 5. Distribution of fish upstream of the reservoir by size during the autumn migration. Fish sizes: а — small (under 10 cm); b — medium (10–20 cm); c — large (exceeding 20 cm) in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 5. РаспреΑеΛение рыб в верхнем бьефе воΑохраниΛища по размерным группам в периоΑ осенней миграции. Размеры рыб: а — меΛкие (Αо 10 см); б — среΑние (10–20 см); в — крупные (боΛее 20 см) Fig. 5. Distribution of fish upstream of the reservoir by size during the autumn migration. Fish sizes: а — small (under 10 cm); b — medium (10–20 cm); c — large (exceeding 20 cm)
Dataset for acceleration measurements at the research bridge openLAB in Bautzen, Germany - Change of dynamic behavior in the concrete hardening process
<p>This data set was collected during the construction phase of the openLAB in Bautzen, Germany during the period from 22.01.2024 - 30.04.2024. It includes acceleration measurements and temperature measurements that record the dynamic behavior of the bridge over a period of 49 days (from 22.01.2024 to 11.03.2024; the remaining data cannot be uploaded due to the Zenodo upload restriction, but can be released on request). The detailed documentation of the data set can be found in the file "Bartels, Dunkel, Marx_2024_Documentation.pdf". The documentation describes the structure, the applied monitoring system and the collected data in detail.</p>
Magnetic polaron dynamics
<p>This research is part of the project no. 2021/43/P/ST3/03293 co-funded by the National Science Centre and the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 945339. </p> <p> </p> <p> </p>
Fig. 14 in Seasonal dynamics of small-scale fisheries in the Adriatic Sea
Fig. 14: Size-frequency distributions of gillnet landings. TL = total length; CL = carapace length; ML = mantle length. Vertical lines: minimum landing size.
Experimental data related to the publication: "In-situ analysis of the effect of residual fcc phase and special grain boundaries on the deformation dynamics in pure cobalt"
<p>The article figures were produced solely from these data sets employing data processing methods described therein. For experimental conditions and naming conventions please refer to the paper.</p> <p><br>1. Deformation data files contained within "deformation_data.zip":</p> <p>The .zip archive contains five files related to five samples of thermally treated cobalt:<br>def_co600.csv<br>def_co800.csv<br>def_co1100.csv<br>def_co1100-10c.csv<br>def_co1100-20c.csv</p> <p>The data were recorded during compression of the above-listed samples at room temperature. </p> <p><br>2. Acoustic emission (AE) data files contained within "AE_data.zip":</p> <p>The .zip archive contains four files related to four samples of thermally treated cobalt:<br>AE_co600.wav<br>AE_co800.wav<br>AE_co1100.wav<br>AE_co1100-20c.wav</p> <p>The AE data were recorded in continuous mode ("data streaming" at 2 MHz) during compression of the above-listed samples at room temperature. </p> <p> </p> <p>3. Electron back-scatter diffraction (EBSD) data files contained within "EBSD_data.zip":</p> <p>The .zip archive contains fifty-three .osc files related to samples of as-drawn and thermally treated cobalt within four folders:<br>0c - as-drawn and annealed samples (i.e. without thermal cycling)<br>10c - annealed samples after thermal cycling of 10 cycles<br>20c - annealed samples after thermal cycling of 20 cycles<br>ex-situ_def - ex-situ EBSD during deformation of selected samples</p> <p>The .osc data files represent EBSD data after clean-up procedures described in detail in the manuscript.</p> <p> </p> <p> </p> <p> </p>
Dataset: experimental electrophysiological dynamics data
<p> </p> <p>msSEI_exportTrials.zip contains raw iEEG data, the structure of which is described in msSEI_exportTrials_readme.docx (same as in v1).</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)
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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.