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3,673 results for “Temporal”
FIGURE 4 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 4 | Boxplots for diversity and evenness for the sampled months from September 1994 to June 1995. A. Diversity, B. Evennes. Line: median; box: 25th to 75th percentiles; whiskers: minimum to maximum value range. Differences in GLM p-values are shown by lowercase letters, different letters mean significant differences for the indexes (p-value <0.05).
FIGURE 7 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 7 | Vertical distribution of the abundance of the species found in the study. Bars indicate the mean value (individuals m-3) and error bars the Standard Error.
FIGURE 3 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 3 | Water temperature and salinity profiles at each sampling site, for each sampled month from September 1994 to June 1995.
FIGURE 5 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 5 | Correlation triplot of the db-RDA showing the relationship between explanatory (temperature and salinity) and response variables (species). Black labels indicate the position of species in the ordination; their size increase according to the abundance of the species to achieve a better visualization. Samples are coded by depths and months. The angles between species and explanatory variables reflect their correlations; a small angle implies a positive correlation, a large one suggests a negative correlation, and a 90° angle indicates no correlation between two variables.
FIGURE 2 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 2 | A. Box plots showing temporal variations in temperature and salinity during the sampling period (1994–1995). Line: median; box: 25th to 75th percentiles; whiskers: minimum to maximum value range. Months with the same letters do not significantly differ using Dunn's test. B. Monthly variability of salinity from October 2011 to August 2014, dots indicate the mean value and error bars the Standard Deviation.
FIGURE 6 in Larval fish assemblages in nearshore waters of southeast Gulf of California: vertical and temporal patterns
FIGURE 6 | Temporal and vertical variations of the abundance of the most abundant species found in the study. Dots indicate the mean value and error bars the Standard Error. SEP: September, DEC: December, Apr: April, JUN: June.
FIGURE 4 in Temporal genetic structure of a stock of Prochilodus lineatus (Characiformes: Prochilodontidae) in the Mogi-Guaçu River ecosystem, São Paulo, Brazil
FIGURE 4 | Bayesian skyline plot (BSP) showing change in effective population size of Prochilodus lineatus in Feb_15 group from Cachoeira de Emas in the Mogi-Guaçu River based on Dloop marker. The y-axis, population size × generation time*; x-axis, time (indicated in thousands of years ago). *Generation time measured in million years. Solid lines represent median estimates, and shaded areas represent the 95% HPD limits.
FIGURE 3 in Temporal genetic structure of a stock of Prochilodus lineatus (Characiformes: Prochilodontidae) in the Mogi-Guaçu River ecosystem, São Paulo, Brazil
FIGURE 3 | Median-joining network of Prochilodus lineatus, based on haplotypes of D-loop marker. Sizes of the circled are proportional to the frequencies of the haplotypes at issue. The colors indicate the groups according to the collections: red circles: Sep_03; yellow circles: Jan_05; purple circles: Aug_05; blue circles: Jan_06; pink circles: Jan_09; green circles: Sep_10; pastel pink circles: Feb_15. Hatch marks represent the number of mutations by which haplotypes differ.
FIGURE 1 in Temporal genetic structure of a stock of Prochilodus lineatus (Characiformes: Prochilodontidae) in the Mogi-Guaçu River ecosystem, São Paulo, Brazil
FIGURE 1 | Map of the State of Sao Paulo showing the main components of the hydrographic system in the Southeast of Brazil. In detail square, the collection site of samples located in Cachoeira de Emas, Pirassununga-SP. The Mogi-Guaçu River is a component of the Upper Paraná River basin.
FIGURE 2 in Temporal genetic structure of a stock of Prochilodus lineatus (Characiformes: Prochilodontidae) in the Mogi-Guaçu River ecosystem, São Paulo, Brazil
FIGURE 2 | Graph of the Bayesian analysis of population structure of microsatellites for Prochilodus lineatus. A. Delta(k) showing the highest value in a population structure of K = 3; B. The estimated mean log-likelihoods [ln(PrK)]; C. Structure bar plot. Black lines separate the different sampled populations based on temporal collection.
Figure 4 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 4. Monthly emergence of abundant Tanypodinae taxa (>1% of total abundance). Shaded area indicates dry season.
Figure 7 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 7. Dissimilarities (Bray-Curtis) between monthly samples of emerging Chironomidae for (a) Quebrada Prieta (USA; Puerto Rico) and (b) Kalengo River (Democratic Republic of the Congo). Grey circles are individual paired months and black circles are the average dissimilarities of all pairs of samples separated by the same number of months.
Figure 3 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 3. Monthly total abundance (a) and taxa richness (b) of emerging Chironomidae from Quebrada Prieta. Shaded area indicates dry season.
Figure 1 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 1. Average monthly water temperature (a) and rainfall (b) from stations near the sample site on Quebrada Prieta. Circles are average values of water temperature (1983-2018) and rainfall (1975-2021) with error bars representing standard deviation. Grey bars are data for February 1990 through January 1991. Water temperature data are from a downstream station in Quebrada Sonadora (McDowell 2021) and rainfall data are from the El Verde Field Station (Ramirez 2021).
Figure 6 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 6. Monthly emergence of abundant Chironominae taxa (>1% of total abundance). Shaded area indicates dry season.
Figure 5 in TEMPORAL PARTITIONING OF CHIRONOMIDAE EMERGENCE IN AN INSULAR, TROPICAL RAINFOREST STREAM Abstract
Figure 5. Monthly emergence of abundant Orthocladiinae taxa (>1% of total abundance). Shaded area indicates dry season.
Data from: Temporal and spatial variation in reproductive benefits in a partial migrant
<p><strong>Abstract</strong></p> <p><span>In partial migrant systems, where residents and migrants co-exist within a population, residents are commonly predicted to gain a reproductive advantage over migrants through priority access to high quality territories and an earlier breeding start. Annual variation in reproductive benefits has been suggested to be important for the co-existence of both strategies in a population, as differences in wintering conditions experienced by the two strategies may result in a periodic reproductive advantage for migrants. However, the importance of spatial environmental variation for reproductive output in partially migrant populations remains largely unexplored. We investigated variation in the reproductive output of migrants and residents in a population of Swiss red kites (<em>Milvus milvus</em>) both temporally, across and within years, and spatially, along an elevational gradient. We gathered four years of reproductive data combined with 183 GPS-derived full annual cycles from individuals breeding in the Swiss Alpine foothills. At low, but not high elevations residents produced more fledglings than migrants. We also found evidence for annual variation in the reproductive advantage of the two strategies. Furthermore, while reproductive output did decline with a later breeding start, there was no difference in the start of breeding between the two migration strategies. The results of this study suggest that differences in reproductive output between migrants and residents in partial migrant populations can vary due to both the use of spatially distinct overwintering grounds, as well as being differently affected by spatial variables in breeding areas, such as elevation. The study emphasizes that spatial and temporal variation in reproductive benefits must be considered when predicting how migratory species will respond to future environmental change.</span></p>
Dog neuroimaging data from: Action observation reveals a network with divergent temporal and parietal cortex engagement in dogs compared to humans
<p>Action observation is a fundamental pillar of social cognition. Neuroimaging research has revealed a human and non-human primate action observation network (AON) encompassing fronto-temporo-parietal areas with links to the species’ imitation tendencies and relative lobe expansion. Dogs (Canis familiaris) have good action perception and imitation skills and a less expanded parietal than temporal cortex, but their AON remains unexplored. We conducted a functional MRI study with 28 dogs and 40 humans and found functionally analogous involvement of somatosensory and temporal brain areas of both species’ AONs and responses to transitive and intransitive action observation in line with their imitative skills. Employing a functional localizer, we also identified functionally analogous agent-responsive areas within both species’ AONs. However, activation and task-based functional connectivity measures suggested significantly less parietal cortex involvement in dogs than in humans. These findings advance our understanding of the neural bases of action understanding and the convergent evolution of social cognition, with analogies and differences resulting from similar social environments and divergent brain expansion, respectively.</p> <p>This data set contains:</p> <ul> <li>raw functional neuroimaging data of <em>N</em> = 28 dogs</li> <li>structural scans of the same dogs including brain masks & skull-stripped versions</li> <li>eventfiles containing the condition names, onsets and durations for each dog and task run</li> </ul> <p>Data of the comparative human neuroimaging sample will be made available by the first author upon reasonable request.</p> <p>Please also visit our Open Science Framework project site for group-level imaging data of both species (https://osf.io/z479k/).</p>
Data for: Temporal consistency and spatial variability in detection: implications for monitoring of macroinvertebrates from shallow groundwater aquifers (Subterranean Biology, 2024)
<p>Original research article: Knüsel M., Alther R., Couton M. & Altermatt F. (2024) Temporal consistency and spatial variability in detection: implications for monitoring of macroinvertebrates from shallow groundwater aquifers. Subterranean Biology 49: 139-161. <a href="https://doi.org/10.3897/subtbiol.49.132515" target="_blank" rel="noopener">https://doi.org/10.3897/subtbiol.49.132515</a></p>
Inputs (forcing, observations and config file) for the experiments included in "Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter".
<p>Inputs or the experiments included in the manuscript <a href="https://doi.org/10.5194/egusphere-2024-1404">Spatio-temporal snow data assimilation with the ICESat-2 laser altimeter</a>. </p> <p>Three experiment's inputs (forcing, observations and config file) for the Multiple Snow data Assimilation system (<a href="https://doi.org/10.5281/zenodo.11147258">MuSA</a>, v2.1) for the experimental catchment of Izas in the Spanish Pyrenees. All the experiments use ERA5 data downscaled to 20 m spatial resolution with the statistical downscaling tool <a href="https://doi.org/10.21105/joss.05059">TopoPySCALE</a>. The experiments assimilate different variables. </p> <p> C) assimilation of fSCA retrieved from Sentinel-2;</p> <p> D) assimilation of snow depth profiles retrieved with ICESat-2;</p> <p> J) joint assimilation of variables in C) and D).</p> <p> </p> <p>All the experiments assimilate the observations with the deterministic ensemble smoother with multiple data assimilation (DES-MDA) scheme.</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)
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.