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364 results for “Community: dynamics”
Fig. 4 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 4. Pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. The line represents the relationship (with 95% confidence intervals) predicted by the generalized linear model; see text. Tick marks indicate partial residuals with either positive (top) or negative values (bottom). See Table 1 for full species names.
Fig. 3 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 3. Scatterplots of pairwise relationships between numbers of parasites per host for the three most common digenean parasites of eels, Anguilla anguilla, in Comacchio Lagoons, across all three sampling periods combined. See Table 1 for full species names.
Fig. 1 in Temporal dynamics of species associations in the parasite community of European eels, Anguilla anguilla, from a coastal lagoon
Fig. 1. Abundance (mean number of parasites per host, including non-infected hosts) of the six most common helminth parasites of eels, Anguilla anguilla, in Comacchio Lagoons, during three sampling periods: 2005–2006 (N = 140 eels), 2010–2013 (N = 131), and 2015–2017 (N = 30). Note that some values for the time period 2015–2017 are based on very few fish; see Table 1 for actual numbers and for full species names.
Terrestrial Lidar Point Cloud Data for: Evaporation and condensation dynamics within saturated epiphyte communities in a Quercus virginiana forest
<p><span>Terrestrial lidar scans were captured using a BLK360 scanner (Leica Geosystems, Norcross, GA, USA) which has a range of 0.5 – 45 m and measurement rate up to 680,000 points s<sup>−1</sup> at the high-resolution setting. A georeferenced, 3-D point cloud of the study site was generated from 12 scans, approximately 50 m apart in both horizontal directions. Scans were performed in orientations intended to maximize branch exposure to the scanner and to scan during optimal weather conditions to minimize occlusion of features due to noise or movement generated by wind. Scan co-registration was done in Leica Geosystem’s Cyclone Register 360 software using its Visual Simultaneous Localization and Mapping algorithm (Visual SLAM) and resulted in relatively low overall co-registration error ranging from 0.005-0.009 m. From this study site point cloud, manual straight-line measurements from the ground to the sensors were made using Leica’s Cyclone Register 360 software.</span></p>
Fig. 6 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 6. Hierarchical cluster analyses of species relative to time (a) and space (b). In (a), six groups of species (T1–T6) are associated with different surveys; in parentheses: surveys in which all the group's components were found (De = 7 December 2010; No = 30 November 2012; Au = 7 August 2012; Ap = 26 April 2013; Fig 2). In (b), four groups of species (S1–S4) are associated with different sites; in parentheses: sites where all the group's components were found (A–F; Fig. 1); 'wil' (found at sites B and C) and 'cla' (found at site E) were not included in any group. Vertical dashed lines: 0.65 similarity cut-off value. Species' abbreviations as in Table 2.
Fig. 5 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 5. Species richness (grouped by family): per survey, at all sites (a); per survey, at each site (b); per site, in all surveys (c); per site, in each survey (d); chr = Chrysopetalidae, eun = Eunicidae, gly = Glyceridae, lum = Lumbrineridae, ner = Nereididae, onu = Onuphidae, phy = Phyllodocidae, pil = Pilargidae, pol = Polynoidae, sab = Sabellariidae, spi = Spionidae, ter = Terebellidae.
Fig. 4 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 4. Bar charts of Sabellaria sp. 1 tubes' density (a) and tubes' diameter (b) measured in December 2010. Bars indicate mean values, and whiskers indicate one-sigma intervals based on standard deviations.
Fig. 2 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 2. Some of the species found in this study. a = Lumbrineris sp. 1 (scale bar = 1 mm); b = Perinereis maindroni (scale bar = 1 mm); c = Parahalosydnopsis tubicola (scale bar = 5 mm); d = Eulalia sp. 1 (scale bar = 3 mm); e = Polydora cavitensis (scale bar = 1 mm); f = Loimia verrucosa (scale bar = 5 mm).
Fig. 3 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 3. Diagram illustrating the observed conditions of the polychaete communities. December 2010/January 2011: a = reef barriers; b = detail of a clump of Sabellaria sp. 1 (scale bar = 5 cm). August 2012: c = exposed shell bed, with erosive ridges perpendicular to the shore line with small (longest dimension: 5–20 cm) and scattered clumps of Sabellaria sp. 1; d = detail of a polychaete clump, on top of the shell lag (scale object's diameter = 5 cm). November 2012: e = polychaete reef, with larger and more tightly packed clumps than in c; f = detail of a clump mainly formed by tubes of spionids (scale bar = 3 cm). April 2013: g = the shore covered by a mud layer; h = detail of a patch of coarse sediments, heavily colonised by terebellid worms (scale bar = 10 cm); hatched lines: water's edge during spring low tide
Fig. 1 in Tropical polychaete community and reef dynamics: insights from a Malayan Sabellaria (Annelida: Sabellariidae) reef
Fig. 1. Jeram Beach and sampling sites. Diagram of the polychaete reef as in December 2010. Sites: A, B (inner reef patches); C (back reef); D (reef flat); E (northern exposed margin); and F (western exposed margin). Hatched line = water's edge during spring low tide; crosses = trees of Avicennia alba and Sonneratia sp.; stippled area = sand berm; shaded areas with black contours = polychaete reefs. Map redrawn from a satellite image (Google Earth Plus, v. 7.0, 2012). Inset: black arrow = Jeram.
Data and code from: Breakdown in seasonal dynamics of subtropical ant communities with land-cover change
<p><span>Concerns about widespread human-induced declines in insect populations are mounting, yet little is known about how land-use change modifies the dynamics of insect communities, particularly in understudied regions. Here, we examine how the seasonal activity patterns of ants—key drivers of terrestrial ecosystem functioning—vary with anthropogenic land-cover change on a subtropical island landscape, and whether differences in temperature or species composition can explain observed patterns. Using trap captures sampled biweekly over two years from a biodiversity monitoring network covering Okinawa Island, Japan, we processed 1.2 million individuals and reconstructed activity patterns within and across habitat types. Forest communities exhibited greater temporal variability of activity than those in more developed areas. Using time-series decomposition to deconstruct this pattern, we found that sites with greater human development exhibited ant communities with diminished seasonality, reduced synchrony, and higher stochasticity compared to sites with greater forest cover. Our results cannot be explained by variation in regional or site temperature patterns, or by differences in species richness or composition among sites. Our study raises the possibility that disruptions to natural seasonal patterns of functionally key insect communities may comprise an important and underappreciated consequence of global environmental change that must be better understood across Earth's biomes.</span></p>
Data from: Migratory singers dynamically overlap the signal space of a breeding warbler community
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Data from: Individual energetics scale up to community coexistence: Movement, metabolism and biodiversity dynamics in fragmented landscapes
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Siderophores drive invasion dynamics in bacterial communities through their dual role as public good versus public bad
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Rapid ant community re-assembly in a Neotropical forest: recovery dynamics and land-use legacy
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Algal lipid distributions and hydrogen isotope ratios reflect phytoplankton community dynamics in Rotsee (Switzerland)
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Periodical cicadas disrupt trophic dynamics via community-level shifts in Avian Foraging
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Intermediate habitat fragmentation buffers droughts: How individual energy dynamics mediate mammal community response to stressors
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Simulation data from: Dynamics of immune memory and learning in bacterial communities
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Data and code from: Breakdown in seasonal dynamics of subtropical ant communities with land-cover change
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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
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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.