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240 results for “Autumn”
Fig. 1 in Effects of temperature on survival, development, and reproduction of Aphis glycines (Hemiptera: Aphididae) autumnal morphs
Fig. 1. Age-specific survival rates (lx) of Aphis glycines gynoparae, males, and oviparae at 13, 18, 23, 28, and 33 °C.
Data from: Autumn and winter plankton composition and size structure in the North Sea
<p><span>Plankton dynamics in temperate ecosystems have been mainly studied during productive seasons, with comparatively less research conducted during the winter, particularly on microplankton. Implementing plankton sampling during a regular fishery cruise, we investigated the North Sea micro- and mesozooplankton community composition, abundance and size structure (55-2000 µm) during autumn (Buchan/Banks area) and winter (Downs area) between 2013 and 2019. Samples were analyzed using image-based techniques. Community diversity (broad taxa) was relatively similar across years in both areas, with diatoms and tripos taxa sets dominating the microplankton community and gastropods and copepods the mesozooplankton one. The average micro- to mesoozooplankton ratio (in abundance) was 90:1 for Buchan/Banks, resulting in average Normalized Abundance Size Spectra (NASS) slopes of -1.45 ±0.18 SD. For Downs, the micro- to mesoozooplankton ratio was 235:1 and steeper NASS slopes of -1.67 ±0.20 SD due to a lower contribution of large organisms. Interannual changes in the planktonic community for each area and their potential environmental drivers were examined using a redundancy analysis (including taxonomy and size) and a correlation analysis using NASS slopes (size only). Both approaches highlighted the importance of water mass properties (e.g. salinity, temperature, turbidity) in shaping plankton dynamics, although the amount of explained variance differed between approaches (11 versus 46%). <span><span>Our results contribute to a better understanding of standing stocks of plankton and their environmental drivers. Specifically, novel insights were gained into microplankton dynamics, which play an important role in supporting the growth and survival of winter-spawned fish larvae in the North Sea. </span></span></span></p>
Figure 2 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 2. Dominance–diversity curves of bird assemblages in different alpine habitats in a valley near Lhasa, Tibet.
Figure 1 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 1. The map shows the vegetation patterns of the study site, and its location and landscape type at a larger geographical scale.
Figure 3 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 3. Seasonal change of relative abundances of several selected species in alpine habitats (pooled data) in a valley near Lhasa, Tibet.
Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014
<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled "Observations of Autumnal Cooling in a Large Estuary" by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O'Donnell. The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in a MATLAB binary (.mat) file as a structure variable with a field MetaData containing some notes, and data in <br> SampleTimeEST- the date and time of the sample (EST) in MATLAB's datenum() format<br> Pressure_dBar - the pressure (or equivalently depth in m) that the sample was acquired <br> Temperature_C - the water temperature in Celcius<br> PracticalSalinty - the practical salinty<br> LatitudeDeg- the latitude of the sampling location (deg)<br> LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper's abstract is: </p> <p>Long Island Sound (LIS) is a large estuary on the eastern United States coast. Seasonal variations <br> in solar insolation and wind create an annual water temperature cycle that impacts circulation <br> and biological processes. The waters warm from March-February until August-October and then <br> begins to cool. Ship surveys show that the vertical temperature structure becomes uniform during <br> this season when the area experiences low air temperatures and high winds. However, there have <br> been no observations that resolve the temporal evolution of the vertical structure of temperature <br> during these cooling periods because conditions inhibit ship operations. We report glider <br> measurements of the vertical structure of water temperatures and salinities from October 22 to <br> November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 <br> C/day intervals of cold air and strong winds. We use the data to estimate heat content tendencies <br> and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted <br> instruments and the COARE 3.0/3.5 formulae and show they are consistent. Using the buoy <br> fluxes and the products of an operation regional model, we show the agreement with the heat <br> budget fluxes is best when the closest buoy and the model results are used. This suggests that <br> resolving the temporally and spatially structure of the wind field is crucial to the accurate <br> simulation of the temperature variability in LIS. These intervals of very rapid cooling can lead to <br> significant density gradients between LIS and the shallow bays and marshes that surround it.</p>
Fig. 3 in A New Model Of Stink Bug Traps: Heated Trap For Capturing Halyomorpha Halys During The Autumn Dispersal Period
Fig. 3. Mean number of stink bugs observed in the trapping site (statistics: repeated measure ANOVA, Durbin-Conover pairwise comparison test, P ≤ 0.05)
Fig. 2 in A New Model Of Stink Bug Traps: Heated Trap For Capturing Halyomorpha Halys During The Autumn Dispersal Period
Fig. 2. Arrangement of the traps. The edges of slots were marked with white lines on the photo, because of the better visualization
Figs 1, 2. Micromoths from Kunashir Island, dorsal view. 1 in Autumn moths and butterflies (Lepidoptera) new for the fauna of Kunashir Island
Figs 1, 2. Micromoths from Kunashir Island, dorsal view. 1 – Deuterogonia kamonjii Fujisawa, 1991, ♀ (Oecophoridae); 2 – Epinotia autumnalis Oku, 2005, ♀ (Tortricidae).
PALM Model System v 6.0 input and configuration files for coupled large eddy simulations of land surface heterogeneity effects and diurnal evolution of late summer and early autumn atmospheric boundary layers during the CHEESEHEAD19 field campaign
<p>Namelist, configuration and forcing files for the PALM Model System 6.0 revision number 21.10-rc.2 used for the numerical simulations Coupled Large Eddy Simulations of land surface heterogeneity induced atmospheric boundary layer response during the CHEESEHEAD19 field campaign.</p>
Data from: The increased effect of spring leaf unfolding on autumn senescence in the northern and southern hemispheres
Open the record for dataset details and reuse information.
Data from: Effects of immune status on stopover departure decisions are subordinate to those of condition, cloud cover and tailwind in autumn-migrating common blackbirds (Turdus merula)
Open the record for dataset details and reuse information.
Data from: Sora (Porzana carolina) autumn migration habitat use
Palustrine wetland management across the United States is often conducted under a moist soil management framework aimed at providing energetic resources for non-breeding waterfowl. Moist soil management techniques typically include seasonal water-level manipulations and mechanical soil disturbance to create conditions conducive to germination and growth of early successional, seed-producing wetland plants. The assumption is that providing stopover and wintering habitat for non-breeding waterfowl will also accommodate life history needs of a broader suite of migratory waterbirds including shorebirds, wading birds, and marsh birds. Although studies of wetlands provide some evidence to support this assumption for shorebirds and wading birds, there is less information on how other marshbirds, respond. Sora (Porzana carolina) are a species of migratory rail that depends on wetlands year round as it migrates across North America. It is a species for which the consequences of wetland management decisions directed toward non-breeding waterfowl, is unknown. We conducted nocturnal surveys on 10 public properties in Missouri, USA during autumn migration from 2012-2016 to examine Sora habitat use in wetland impoundments managed to enhance production of moist soil vegetation. We found a positive relationship with Sora presence and mean water depth and annual moist soil vegetation; Sora used, on average, deeper water than was available across surveyed impoundments and used locations with a higher percentage of annual moist soil vegetation than was available. We found a negative relationship with Sora use and upland vegetation, woody vegetation, and open water. We found Sora using deeper water than have previously been reported for autumn migration and that moist soil management techniques used on Missouri's intensively-managed public wetland areas may be compatible with Sora autumn migration stopover habitat requirements.
Manhood or Autumn
Manhood or Autumn, relief in marble, after the original model from 1836 (A640). Thorvaldsen museum (Copenhagen, Denmark). Made with Memento Beta (now ReMake) from AutoDesk. In the autumn relief, love has borne fruit: the woman sits outside the house with her child and greets the man, who is returning from hunt. In his hand, the man holds a cluster of grapes, which he has picked upon his return. The grape cluster has approximately the same placement - and perhaps also the same meaning - as the apple in the summer relief. For more updates, please follow @GeoffreyMarchal on Twitter. Source: Objaverse 1.0 / Sketchfab
Planacheaux 2007 autumn survey radar intensity data
<p>Hourly intensity of bird migration within height intervals of 50m recorded by a fixed beam radar (see Komenda-Zehnder et al. 2010):</p><p><i>Komenda-Zehnder, S., L. Jenni, und Felix Liechti. "Do birds captures reflect migration intensity? - Trapping numbers on an Alpine pass compared with radar counts". Journal of Avian Biology 41 (2010): 434–44. </i><a href="https://doi.org/10.1111/j.1600-048X.2010.04891.x">https://doi.org/10.1111/j.1600-048X.2010.04891.x</a> </p><p> </p><p><strong>Description of variables</strong></p><p>date: day – month – year</p><p>hour: 0 – 23 (0 corresponds to the time interval 00:00 – 00:59 UTC-1)</p><p>height: -275 – 5275 height intervals of 50m (e.g 125 corresponds to the height interval of 100 - 150m above the radar)</p><p>MTR: migration traffic rate (corresponds to the number of birds crossing a virtual line of 1km within 1h)</p><p> </p>
Col de la Croix 1988 autumn survey radar tracking data
<p>Individual tracks of free flying nocturnal migrants recorded by a military tracking radar (see Bruderer 1997):</p><p><i>Bruderer, B. The Study of Bird Migration by Radar Part 1: The Technical Basis*. Naturwissenschaften <strong>84</strong>, 1–8 (1997). </i><a href="https://doi.org/10.1007/s001140050338"><i>https://doi.org/10.1007/s001140050338</i></a><i> </i></p><p> </p><p><strong>Description of variables </strong></p><p>Code site code (C88: Col de la Croix)</p><p>FNr Track number starting each day at 00:00 with 1</p><p>Z mean flight altitude (m above radar)</p><p>Rg mean flight direction (°)</p><p>Ra mean heading (°, body axis)</p><p>Vg mean ground speed (cm/s)</p><p>Va mean airspeed (cm/s)</p><p>Vz mean climb rate (cm/s)</p><p>FieldClass Echo class 1-9 based on wingbeat pattern, see description below</p><p> </p><p><strong>description of variable FieldClass</strong> </p><p>Code description</p><p>1 wader-type large (continuous wingbeats)</p><p>2 wader-type small (continuous wingbeats)</p><p>3 passerine-type large (regular phases of wingbeats and pauses => bounding flight)</p><p>4 passerine-type small (regular phases of wingbeats and pauses => bounding flight)</p><p>5 swift-type (irregular phases of wingbeats and pauses => flap-gliding flight)</p><p>6 raptor (visually identified)</p><p>7 single bird large (partly visually identified)</p><p>8 flock of unidentified birds</p><p>9 unknown bird</p>
Data from: Lunar synchrony, geography, and individual clocks shape autumn migration timing in an avian migrant
<p>Timing programs in animal migrants have been selected to synchronize movements that coincide with predictable resources on the breeding and nonbreeding grounds. Migrants face potential temporal conflicts if their migration schedules benefit from synchrony to conflicting rhythms associated with annual biogeographical (circannual) cues, lunar (circalunar) cues, or individually-repeatable internal clocks. We repeat-tracked individuals of an avian lunaphilic species, Eastern Whip-poor-will (<em>Antrostomus vociferus</em>), for 2–3 successive autumn migrations to determine the influence of the lunar cycle, breeding location, and individual repeatability on migration timing. Almost all birds avoided departing for migration during a full moon, likely to take advantage of the bright moonlight to facilitate visual foraging and enhance pre-migration fattening. However, groups from two latitudinally-distant sampling areas adjusted their autumn departure timing differently relative to the timing of the September full moon, presumably due to differences in seasonal prey availability. Individual repeatability increased throughout autumn migration, suggesting that the factors responsible for shaping migration timing may differ for different migration stages. Our results, that lunar synchrony, local climate, and individual internal clocks appeared to account for much of the variation in migration timing in whip-poor-wills, underscore the value of measuring potentially interacting factors that shape migratory behavior at species, group, and individual levels. It remains unclear if, or how, maintaining individually-repeatable annual migration schedules provides an adaptive benefit for whip-poor-wills or other lunaphilic migrants. Further clarifying the reasons for phenotypic variation in whip-poor-will migration timing will improve predictions of their abilities to adjust migratory movements under changing environmental conditions.</p>
Modelled past autumn leaf phenology of deciduous trees
<p> </p> <p><span>Autumn leaf phenology (i.e. leaf colouring or leaf senescence) marks the end of the growing season, during which trees assimilate atmospheric CO<sub>2</sub>. Since autumn leaf phenology responds to climatic conditions, climate change affects the length of the growing season. Thus, autumn phenology is often modelled to assess possible climate change effects on future CO<sub>2</sub> mitigating capacities and species compositions of forests.</span></p> <p><span>Here, we give access to the entire dataset of modelled autumn phenology analyzed in Meier and Bigler (2023). The data was derived from >2.3 million model calibration runs according to 21 such models, 5 optimization algorithms, ≥7 sampling procedures, and 26 climate model chains from two representative concentration pathways. Calibration and validation were based on >45 000 observations for common beech (Fagus sylvatica L.), pedunculate oak (Quercus robur L.), and European larch (Larix decidua Mill.) from 500 Central European sites each.</span></p> <p><span>Cite as </span><span>Meier, M., & Bigler, C. (2023). Process-oriented models of autumn leaf phenology: Ways to sound calibration and implications of uncertain projections. <em>Geoscientific Model Development</em>, <em>16</em>(23), 7171–7201. https://doi.org/10.5194/gmd-16-7171-2023</span></p>
Projected future autumn leaf phenology of deciduous trees
<p><span>Autumn leaf phenology (i.e. leaf colouring or leaf senescence) marks the end of the growing season, during which trees assimilate atmospheric CO<sub>2</sub>. Since autumn leaf phenology responds to climatic conditions, climate change affects the length of the growing season. Thus, autumn phenology is often modelled to assess possible climate change effects on future CO<sub>2</sub> mitigating capacities and species compositions of forests.</span></p> <p><span>Here, we give access to the entire dataset of projected autumn phenology analyzed in Meier and Bigler (2023). The data was derived from different combinations of 21 process-oriented phenology models, 5 optimization algorithms, ≥7 sampling procedures, and 26 climate model chains from two representative concentration pathways. The dataset contains the average autumn phenology per site and for the years 2080-2099 according to each combination that led to a successful calibration. Calibration and validation were based on >45 000 observations for common beech (<em>Fagus sylvatica L.</em>), pedunculate oak (<em>Quercus robur L.</em>), and European larch (<em>Larix decidua Mill</em>.) from 500 Central European sites each.</span></p> <p><span>Cite as Meier, M., & Bigler, C. (2023). Process-oriented models of autumn leaf phenology: Ways to sound calibration and implications of uncertain projections. <em>Geoscientific Model Development</em>, 16(23), 7171–7201. https://doi.org/10.5194/gmd-16-7171-2023</span></p>
Chinatown Point Mid-Autumn Festival 2021
**Chinatown Point** <br> https://goo.gl/maps/1mSk6YVNU415CY1f7 <br> <br> 📍 [Tanjong Pagar, Singapore](https://scaniver.se/L1.28489,103.84443) Source: Objaverse 1.0 / Sketchfab
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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.
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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
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