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4,243 results for “seasonality”

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zenodo28/100

Figure 5 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522

Figure 5 Environmental ranges of leaf beetles during the dry season. Abbreviations: Chae sp. 1 (Chaetocnema sp. 1), Syph sp. 1 (Syphrea sp. 1), Acall sp. 7 (Acallepitrix sp. 7), Brach pumi (Brachycoryna pumila), Epit sp. 1 (Epitrix sp. 1), Centra dive (Centralaphthona diversa), Alag trif (Alagoasa trifasciata).

opencc-by-4.0Jan 2022View details →
zenodo28/100

SIR model Solution with Seasonal parameters

SciDraw upload

opencc-by-4.0Feb 2022View details →
zenodo28/100

SIR model Solution with Seasonal parameters

SciDraw upload

opencc-by-4.0Feb 2022View details →
dryad28/100

Data from: Seasonal progression and differences in major floral resource use by bees and hoverflies in a diverse horticultural and agricultural landscape revealed by DNA metabarcoding

<p>Gardens are important habitats for pollinators, providing floral resources and nesting sites. There are high levels of public support for growing 'pollinator-friendly' plants but whilst plant recommendation lists are available, they are usually inconsistent, poorly supported by scientific research and target a narrow group of pollinators. In order to supply the most appropriate resources, there is a clear need to understand foraging preferences, for a range of pollinators, across the season within horticultural landscapes.</p> <p>Using an innovative DNA metabarcoding approach, we investigated foraging preferences of four groups of pollinators in a large and diverse, horticultural, and agricultural landscape, across the flowering season and over two years, significantly improving on the spatial and temporal scale that can be achieved using observational studies.</p> <p>Bumblebees, honeybees, non-corbiculate bees, and hoverflies visited 191 plant taxa. Overall floral resources were shared between the different types of pollinators, but significant differences were seen between the plants used most abundantly by bees (Hymenoptera) and hoverflies (Diptera).</p> <p>Floral resource use by pollinators is strongly associated with seasonal changes in flowering plants, with pollinators relying on dominant plants found within each season, with preferences consistent across both years.</p> <p>The plants identified were categorised according to their native status to investigate the value of native and non-native plants. The majority of floral resources used were of native and near-native origin, but the proportion of horticultural and naturalised plants increased during late summer and autumn.</p> <p><em>Synthesis and applications: </em>We recommend that plant lists should distinguish between bees and hoverflies and provide evidence-based floral recommendations throughout the year that include native as well as non-native plants for use in the UK and Northern Europe. Specific management recommendations include reducing mowing to encourage plants such as dandelion <em>Taraxacum officinale</em>, buttercups <em>Ranunculus spp.</em>, and reducing scrub management to encourage bramble <em>Rubus fruticosus</em>.</p>

opencc-zeroFeb 2022View details →
dryad28/100

Data from: High spatiotemporal overlap in the non-breeding season despite geographically dispersed breeding locations in the eastern whip-poor-will (Antrostomus vociferus)

<p>The eastern whip-poor-will (Antrostomus vociferus) is a Neotropical migrant that has declined by 70% in recent decades, yet when and where populations are limited throughout the annual cycle is poorly understood. We deployed 115 archival GPS tags across a 9.5-degree latitudinal span (~1000 km; midwestern US) on whip-poor-wills in the summers of 2017 and 2019, and extracted data from 52 tags. The associated .csv file exhibits the raw movement data extracted from the archival GPS tags, where each row represents a GPS fix location for a given bird. The columns present are largely those generated by Lotek, although researchers created a few columns to aid in identification of birds and downstream data analysis. Of particular note is the "season" column, where we quantified the likely behavior (e.g., fall migration) of the individual at the given time and location. These points essentially represent the migratory tracks from both fall and spring (when available), including both the breeding and wintering grounds location. We found that whip-poor-wills circumvented the Gulf of Mexico, and populations across a large latitudinal gradient came together in eastern Texas in early October, resulting in decreased connectivity throughout migration. Breeding-winter migratory connectivity was low (MC = 0.22 ± 0.12), with extensive overlap of core wintering areas in southern Mexico and Guatemala. See methods in manuscript for more info.</p>

opencc-zeroFeb 2022View details →
dryad28/100

The response of sub-adult savanna trees to successive fires of various seasons

<p><strong>Abstract</strong></p> <p>In mesic savannas worldwide, trees experience frequent fires, almost all set by humans. Management fires are set to reduce or enhance tree cover. Success depends greatly on responses of sub-adult trees to such fires. To date, the number of successive years that sub-adult trees can resprout nor the number of years that they must resist being top-killed by successive fires, nor the requisite height, have been reported.</p> <p>In a six-year experimental field study in Guinean savannas of West Africa, we monitored annually the heights and responses of 1,765 permanently tagged sub-adult trees under annual fires set in three different periods of the long dry season: early-dry season (EDS), mid-dry season (MDS) and late-dry season (LDS). Annual MDS fires are the common local management fires of these savannas.</p> <p>Results showed that overall, the proportion of sub-adults that resisted being top-killed differed across fire seasons. Further, resisting one fire gave a better chance of resisting the next. Only sub-adults that were able to resist direct damage for three successive EDS and MDS fires reached sufficient height to be recruited to the adult stage. Resistance height (avoiding topkill) was ∼1 m for EDS and ∼2 m for both MDS and LDS fires. Recruitment height (threshold for transition to adult stage) was ∼3 m for EDS and ∼ 3.3 m for MDS fires. No height was great enough for sub-adult trees to be recruited to adult stages in LDS fire.</p> <p><em>Synthesis and applications</em>: The results of this novel field study showed clearly that successive early- and mi-dry season fires can enhance tree density and that successive late-dry season fires alone reduce tree density in Guinean savannas. The results suggest that a planned regime of these seasons of fire could be used to maintain the desired tree density in Guinean savannas and may inform fire management in other mesic savannas where goals are to increase or decrease tree densities. It also provides relevant information for comparative studies on the mechanisms of recruitment of sub-adult trees to an adult stage in all mesic savannas, a process that ultimately determines savanna physiognomy.</p>

opencc-zeroMar 2022View details →
zenodo28/100

Supplementary material 1 from: Sur S, Saikia PK, Saikia MK (2022) Speed thrills but kills: A case study on seasonal variation in roadkill mortality on National highway 715 (new) in Kaziranga-Karbi Anglong Landscape, Assam, India. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 87-104. https://doi.org/10.3897/natureconservation.47.73036

Figures S1–S5

opencc-zeroMar 2022View details →
dryad28/100

Understanding how diel and seasonal rhythms affect the movements of a small non-migratory bird

Diel and seasonal rhythms affect an animal's environment and life history. Understanding how these rhythms influence movement increases our knowledge on how animals adjust to changing resources, environmental conditions, and risk to their survival. To better understand how diel and seasonal rhythms affect animals, we evaluated movements of Northern Bobwhite (Colinus virginianus); hereafter, bobwhite. Because bobwhite are a small non-migratory species that must cope with daily and seasonal changes in their environment year-around, they are a model species to study how diel and seasonal rhythms influence animal movement of a non-migratory species. Global positioning system data from transmitters attached to bobwhite at four wildlife management sites across Oklahoma were collected during 2019–2021. We parsed the diel data as daytime (7:00–19:00 Central Daylight Savings Time [CDT]) and nighttime (19:00–7:00 CDT), and diurnal (sunrise–sunset) and nocturnal (sunset–sunrise) as well as by astronomical season. We calculated three movement metrics: net displacement (Euclidean distance from the starting fix to the ending fix of a path which encompasses consecutive relocations in a time series of geographic fixes), cumulative distance (sum of all Euclidean distances between each consecutive fix along the path), and hourly movement. We modeled the data using a generalized linear mixed-modeling approach. Across season, model predictions showed that net displacement was highest during spring, and daytime cumulative distance slowly increased as the year progressed. Bobwhite had two movement peaks during the diurnal period, one during 9:00–10:00 and the other during 17:00–20:00 depending on the season. Despite being diurnal, bobwhite occasionally made nocturnal movements, likely in response to a disturbance by a predator, inclement weather, or energetic demands. Movement peaks during the diurnal period may reflect changes in behavior in response to energy requirements, predator risk, and changes in air temperature. Life history events, likely cause seasonal differences in movement. This study furthers our understanding on how animals move daily and seasonally suggesting the importance of analyzing movement across the entire year because animals move differently across the day and year.

opencc-zeroApr 2022View details →
zenodo28/100

Seasonal (2017-2018) diet of pelagic whitefish and sticklebacks in Upper Lake Constance

<p>From April 2017 to May 2018, fishing with gillnets and trawling, as well as zooplankton sampling was performed on monthly basis in the pelagic zone of Upper Lake Constance, Germany.&nbsp;Datasets contain information about the seasonal density of zooplankton species, as well as&nbsp;whitefish&#39; and sticklebacks&#39; seasonal diet.</p>

opencc-by-4.0Dec 2021View details →
zenodo28/100

Proteinaceous Matter and Liquid Water in Fine Aerosols in Nanchang, Eastern China: Seasonal Variations, Sources, and Potential Connections

<p>DATA-JGR-A</p>

opencc-by-4.0Jul 2022View details →
dryad28/100

Data from: Age, state, environment and season dependence of senescence in body mass

[No abstract entered]

opencc-zeroDec 2017View details →
dryad28/100

Data from: Structure of the rare archaeal biosphere and seasonal dynamics of active ecotypes in surface coastal waters

Marine Archaea are important players among microbial plankton and significantly contribute to biogeochemical cycles, but details regarding their community structure and long-term seasonal activity and dynamics remain largely unexplored. In this study, we monitored the inter-annual archaeal community composition of abundant and rare biospheres in northwestern Mediterranean Sea surface waters by pyrosequencing 16S rDNA and rRNA. A detailed analysis of the rare biosphere structure showed that the rare archaeal community was composed of three distinct fractions. One contained the rare Archaea that became abundant at different times within the same ecosystem; these cells were typically not dormant, and we hypothesize that they represent a local seed bank that is specific and essential for ecosystem functioning through cycling seasonal environmental conditions. The second fraction contained cells that were uncommon in public databases and not active, consisting of aliens to the studied ecosystem and representing a non-local seed bank of potential colonizers. The third fraction contained Archaea that were always rare but actively growing; their affiliation and seasonal dynamics were similar to the abundant microbes and could not be considered a seed bank. We also showed that the major archaeal groups, Thaumarchaeota Marine Group-I (MGI) and Euryarchaeota Group-II.B (MGII.B) in winter and Euryarchaeota Group-II.A (MGII.A) in summer, contained different ecotypes with varying activities. Our findings suggest that archaeal diversity could be associated with distinct metabolisms or life strategies, and that the rare archaeal biosphere is composed of a complex assortment of organisms with distinct histories that affect their potential for growth.

opencc-zeroDec 2012View details →
dryad28/100

Environmental and seasonal correlates of capercaillie movement traits in a Swedish wind farm

<p>Animals continuously interact with their environment through behavioural decisions, rendering the appropriate choice of movement speed and directionality an important phenotypic trait. Anthropogenic activities may alter animal behaviour, including movement. A detailed understanding of movement decisions is therefore of great relevance for science and conservation alike. The study of movement decisions in relation to environmental and seasonal cues requires continuous observation of movement behaviour, recently made possible by high-resolution telemetry. We studied movement traits of 13 capercaillie (Tetrao urogallus), a mainly ground-moving forest bird species of conservation interest, over two summer seasons in a Swedish windfarm using high-resolution GPS tracking data (5-minute sampling interval). We filtered and removed unreliable movement steps using accelerometer data and step characteristics. We explored variation in movement speed and directionality in relation to environmental and seasonal covariates using Generalized Additive Mixed Models (GAMMs). We found evidence for clear daily and seasonal variation in speed and directionality of movement that reflected behavioural adjustments to biological and environmental seasonality. Capercaillie moved slower when more turbines were visible and faster close to turbine access roads. Movement speed and directionality were highest on open bogs, lowest on recent clear-cuts (&lt;5 y.o.) and intermediate in all types of forest. Our results provide novel insights into the seasonal and environmental correlates of capercaillie movement patterns and supplement previous behavioural observations on lekking behaviour and wind turbine avoidance with a more mechanistic understanding.</p>

opencc-zeroJul 2022View details →
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Figure 2 from: Vilenica M, Brigić A, Kerovec M, Gottstein S, Ternjej I (2016) Spatial distribution and seasonal changes of mayflies (Insecta, Ephemeroptera) in a Western Balkan peat bog. ZooKeys 637: 135-149. https://doi.org/10.3897/zookeys.637.10359

Figure 2 - Mayfly taxa: a species richness (S) and b number of individuals (N) in the peat bog and adjacent stream (mean ± SD). The asterisk indicates significant difference between the habitats (Mann-Whitney U test, p &lt; 0.001).

opencc-by-4.0Dec 2016View details →
zenodo28/100

Figure 5 from: Vilenica M, Brigić A, Kerovec M, Gottstein S, Ternjej I (2016) Spatial distribution and seasonal changes of mayflies (Insecta, Ephemeroptera) in a Western Balkan peat bog. ZooKeys 637: 135-149. https://doi.org/10.3897/zookeys.637.10359

Figure 5 - Seasonal dynamics of a Habrophlebia fusca b Paraleptophlebia submarginata c Electrogena ujhelyii in Danković klada Stream between March and November 2015. Legend: Body length category: A = 0.00–0.99 mm; B = 1.00–1.99 mm; C = 2.00–2.99 mm; D = 3.00–3.99 mm; E = 4.00–4.99 mm; F = 5.00–5.99 mm; G = 6.00–6.99 mm; H = 7.00–7.99 mm; I = 8.00–8.99 mm; J = 9.00–9.99 mm; K = 10.00–10.99 mm.

opencc-by-4.0Dec 2016View details →
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Figure 4 from: Vilenica M, Brigić A, Kerovec M, Gottstein S, Ternjej I (2016) Spatial distribution and seasonal changes of mayflies (Insecta, Ephemeroptera) in a Western Balkan peat bog. ZooKeys 637: 135-149. https://doi.org/10.3897/zookeys.637.10359

Figure 4 - Seasonal dynamics of a Cloeon dipterum in the Đon močvar peat bog and b Baetis vernus c Nigrobaetis niger in adjacent Daković klada Stream between March and November 2015. Legend: Body length category: A = 0.00–0.99 mm; B = 1.00–1.99 mm; C = 2.00–2.99 mm; D = 3.00–3.99 mm; E = 4.00–4.99 mm; F = 5.00–5.99 mm; G = 6.00–6.99 mm; H = 7.00–7.99 mm.

opencc-by-4.0Dec 2016View details →
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Figure 3 from: Vilenica M, Brigić A, Kerovec M, Gottstein S, Ternjej I (2016) Spatial distribution and seasonal changes of mayflies (Insecta, Ephemeroptera) in a Western Balkan peat bog. ZooKeys 637: 135-149. https://doi.org/10.3897/zookeys.637.10359

Figure 3 - Ordination of non-metric multidimensional scaling of mayfly assemblages based on Bray-Curtis similarity coefficient (group average linking) and their square root transformed abundances, with superimposed data of hierarchical cluster analysis.

opencc-by-4.0Dec 2016View details →
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FIGURE 1 in Seasonal and geographical adaption of two field crickets in China (Orthoptera: Grylloidea: Gryllidae: Gryllinae: Teleogryllus)

FIGURE 1. Cumulative emergence percentage in different cOnditiOns Of T.emma.

opennotspecifiedOct 2017View details →
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FIGURE 5 in Seasonal and geographical adaption of two field crickets in China (Orthoptera: Grylloidea: Gryllidae: Gryllinae: Teleogryllus)

FIGURE 5. RelatiOnsHip between OL/HFL and Original latitude in female (A T. emma B T. occipitalis).

opennotspecifiedOct 2017View details →
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FIGURE 3 in Seasonal and geographical adaption of two field crickets in China (Orthoptera: Grylloidea: Gryllidae: Gryllinae: Teleogryllus)

FIGURE 3. DistributiOn Of T.emma (red) and T. occipitalis (purple).

opennotspecifiedOct 2017View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record