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148 results for “temporal effects”
Temporal effects of preservation on the shape and size of yellow perch: Implications for morphological analyses
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Effects of temporal abiotic drivers on the dynamics of an allometric trophic network model
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Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions
<p><strong>Simulated gravity field solutions</strong> published in:<br> Daras, I. and Pail, R. (2017), <em>Treatment of temporal aliasing effects in the context of next generation satellite gravimetry missions</em>, Journal of Geophysical Research: Solid Earth (in revision)</p> <p>Results relate to the solutions used for generating the Figures of the publication.</p> <p>All gravity field solutions are in <strong>icgem </strong>format. The solutions include the effect of static gravity field model GOCO03s.</p> <p><strong>Filename description </strong>for Figures 3, 4, 6, 8, 10 and 11 (fields appear only if applicable):<br> Retrieval content<br> - AOHIS : Atmosphere, Hydrology, Ocean, Ice and Solid Earth <br> - HIS : Hydrology, Ice and Solid Earth<br> - A : Atmosphere<br> - O : Ocean<br> - H : Hydrology<br> - OTerr : OT error retrieval</p> <p>Strategies for HIS retrieval<br> - str1 : strategy 1<br> - str2 : strategy 2</p> <p>Constellation<br> - asc : alternative constellation</p> <p>Retrieval period<br> - hd : half-daily<br> - 1d : daily<br> - 3d : 3-daily<br> - 11d : 11- daily</p> <p>Noise case<br> - fn : full noise case<br> - un : undersampling noise case<br> - ind : individual parameter noise case (see text)</p> <p>Parameterization method<br> - d120 : nominal 11-day solution up to d/o 120<br> - CoPa.1d10.d120 : CoPa 1/10-11/120<br> - CoPa.1d20.3d30.1d120 : CoPa 1/20-3/30-11/120 (sequential parameterization)</p> <p>Time indexing (for Co-estimated short-term solutions)<br> - 01 : Co-estimated solution refering to epoch 01</p> <p><strong>Filename description</strong> for Figure 7:<br> - icgem : format of gravity field solution<br> - yymmdd : starting epoch of the long-term solution for which the daily solutions were co-estimated <br> (e.g. 960112 : refers to the 11-day solution of the time period 1996/01/12 - 1996/01/22)<br> - dual : 2-pair Bender-type solution (standard for all simulations of the paper)<br> - 20.1.11 : 1-day solutions with d/o 20 spatial resolution resulting from a daily co-parameterization of an 11-day long-term solution<br> - wiese : dummy, refers to the paper of D. Wiese <br> - dd : day of the 11-day period</p>
Data and code from "Temporal allele frequency changes in large-effect loci reveal potential fishing impacts on salmon life-history diversity" (Miettinen et al. 2024)
<p>This archive contains code and data files to perform analyses detailed in Miettinen et al. (2024, Evolutionary Applications, https://doi.org/10.1111/eva.13690).</p>
Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
<p>Masting, the spatial synchronization of interannual variation in seed production, can enhance reproductive efficiency through positive density-dependent processes (DD) that result in economies of scale (EOS), such as decreased pollen limitation and predator satiation in years of high reproduction. While the general occurrence of such EOS effects has been documented for masting species, few studies simultaneously investigated how spatial and temporal variation in reproduction affects pollination and predation. Furthermore, it is unclear whether the same mechanisms apply to co-occurring species with different levels of conspecific density, pollen limitation, and seed defenses. Here, we use a long-term data set with high spatial resolution of seed production of European beech (<em>Fagus sylvatica</em>), Norway spruce (<em>Picea abies</em>), and silver fir (<em>Abies alba</em>) in a primeval montane forest to investigate the relationship between reproductive effort, pollination efficiency, and predispersal predation by insects. We found that, along the temporal axis, the proportion of sound (fertilized and unpredated) seeds correlated positively with annual seed production over the 14-year study period in all three species, most strongly in beech and only weakly in silver fir. Moreover, the results show that in beech, spatial seed density interacts with plot-wide annual seed rain to enhance DD effects on seed predation, suggesting additive effects of synchronous reproduction on fitness benefits.</p> <p>Synthesis: For both pollination and predispersal predation in beech and spruce, the strongest DD effects occur at low levels of reproduction and quickly reach asymptotes at higher levels, suggesting the presence of thresholds in different EOS mechanisms. As variability and synchrony in mast-seeding are expected to decline with climate change, EOS effects driven by DD may remain stable until the threshold is reached, at which sudden declines would result in devastating effects on the availability of viable seeds for germination and recruitment.</p>
MetTLM 20NRM01 TU/e Dataset: Dependence of Temporal Frequency and Chromaticity on the Visibility of the Phantom Array Effect
<p>The dataset has the following format: 20 (Participants) by 18 (= 3 Chromaticities × 6 Temporal Frequencies)</p> <p><strong>Chromaticities</strong>: <strong>R</strong>ed (<strong>R</strong>); <strong>G</strong>reen (<strong>G</strong>); Warm <strong>W</strong>hite (<strong>W</strong>)</p> <p><strong>Temporal Frequencies</strong>: <em>F1</em> = <strong>80</strong> Hz; <em>F2</em> = <strong>300</strong> Hz; <em>F3</em> = <strong>600</strong> Hz; <em>F4</em> = <strong>900</strong> Hz; <em>F5</em> = <strong>1200</strong> Hz; <em>F6</em> = <strong>1800</strong> Hz.</p> <table> <tbody> <tr> <td> </td> <td> <p> <strong>R</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>R</strong></p> <p><em>F6</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>G</strong></p> <p><em>F6</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F1</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F2</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F3</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F4</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F5</em></p> </td> <td> <p><strong>W</strong></p> <p><em>F6</em></p> </td> </tr> <tr> <td>P01</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P02</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P03</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P04</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>...</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P19</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td>P20</td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> </tbody> </table> <p>Due to the fractional factorial 3 (colour) × 6 (temporal frequency) mixed design, there are some empty cells. The details are described in Table 2 of the publication.</p> <p>The values in the table represent the visibility thresholds in Modulation Depth (MD). For example, the values of 0.05, 0.1, and 1 means a MD of 5%, 10% and 100% respectively.</p> <p><br><br></p>
Genetic differences in the temporal and environmental stability of transgenerational environmental effects
<p><span><span><span><span><span><span><span><span><span><span><span>Environments influence the expression of phenotypes of individuals, their progeny, and even their grandprogeny. The duration of environmental effects and how they are modified by subsequent environments are predicted to be targets of natural selection in variable environments. However, little is known about the genetic basis of the temporal persistence of environmental effects and their stability of expression across subsequent environments, or even the extent to which natural genotypes differ in these attributes of environmental effects. We factorially manipulated the thermal environment experienced in three successive generations, to quantify the temporal persistence and environmental stability of temperature effects in contrasting genotypes of <i>Arabidopsis thaliana</i>. We found that genotypes differed in the manner in which environmental effects dissipated across successive generations, the manner in which responses to ancestral environments were stably expressed in present environments, the manner in which ancestral environments altered responses to present environments, and in the manner in which ancestral environments altered fitness in present conditions. Genetic variation exists in nature for these trait-specific environmental responses, suggesting that the temporal persistence and stability of environmental effects in variable environments have the potential to evolve in response to natural selection imposed by different environments and sequences of environments.</span></span></span></span></span></span></span></span></span></span></span></p>
Temporal variability in effective size (Ne) identifies potential sources of discrepancies between mark recapture and close kin mark recapture estimates of population abundance
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Data from: Bird species with similar effect traits maintain the temporal stability of community functions under disturbances of tropical cyclones
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Data from: Levels and spatial patterns of effective population sizes in the southern damselfly (Coenagrion mercuriale): On the need to carefully interpret single-point and temporal estimations to set conservation guidelines
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Temporal effects of sympathetic denervation on aortic remodeling and rupture in experimental abdominal aortic aneurysm
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Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
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Genetic differences in the temporal and environmental stability of transgenerational environmental effects
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Data from: Tree diversity effects through a temporal lens: implications for the abundance, diversity, and stability of foraging birds
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The effect of light availability and spatio-temporal heterogeneity on the soil seed bank diversity in temperate forests
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The temporal response of a glioma cell population to irradiation: modeling the effect of dose and cell density
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Replicate analysis from: tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
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Data from: Temporal power of a cycling sprinter: Experiments & effective time theory
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data & analysis scripts of " Behavioral effects of rhythm, carrier frequency and temporal cueing on the perception of sound sequences"
<p>Analysis scripts and data accompanying the manuscript "Behavioral effects of rhythm, carrier frequency and temporal cueing on the perception of sound sequences"</p>
Predator pheromone elicits a temporally dependent non-consumptive effect in prey
<ol> <li>The influence of predator cues on the behaviour of prey is well supported in the literature; however, a clear understanding of how predator cues affect prey in variable environmental conditions and over longer time scales is needed to better understand the underlying mechanisms. Here, we measure how predator odors affect herbivore colonization, abundance, oviposition, and plant damage across two growing seasons.</li> <li>The study system consisted of <i>Leptinotarsa decemlineata </i> (Colorado potato beetle) as prey, and the aggregation pheromone of live <i>Podisus maculiventris </i> (spined soldier bug) as the predator cue in a potato field.</li> <li>In 2016, the amount of feeding damage by early beetle colonists was lower in predator odor‐treated plots, reducing plant damage by 22%. Larval abundance was also reduced in treated plots in 2016. Beetle abundance and damage in 2017 was similar in the treatment and control plots. Two mechanisms were investigated to better understand why prey response to the predator odor treatment weakened over the first season, including changes in predator odor cue strength and prey habituation. Predator odor cue strength emerged as a likely explanation, as dispensers, which released a synthetic predator pheromone over the entire season, reduced the probability of finding damage more consistently than the live predator treatment.</li> <li>These results suggest that temporal patterns of predator cue release and strength may drive prey response across the season, underscoring the importance of cue release‐rate and consistency in both species interactions and for the future application of modifying insect behaviour using non‐consumptive effects in agricultural systems.</li> </ol>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.