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512 results for “Activity pattern”

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zenodo36/100

Map 5 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Map 5. Distribution map for Haplophthalmus danicus.

opencc-by-4.0Dec 1908View details →
zenodo36/100

Fig. 3 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Fig. 3. Corrected number of observations per two-month period for Ligia oceanica (N = 13).

opencc-by-4.0Dec 1908View details →
zenodo36/100

Fig. 5 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Fig. 5. Corrected number of observations per two-month period for Androniscus dentiger (N = 141).

opencc-by-4.0Dec 1908View details →
zenodo36/100

Map 4 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Map 4. Distribution map for Androniscus dentiger.

opencc-by-4.0Dec 1908View details →
zenodo36/100

Map 3 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Map 3. Distribution map for Ligidium hypnorum.

opencc-by-4.0Dec 1908View details →
zenodo36/100

Map 1 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Map 1. The ecological regions in Belgium.

opencc-by-4.0Dec 1908View details →
zenodo36/100

Map 2 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Map 2. Distribution map for Ligia oceanica.

opencc-by-4.0Dec 1908View details →
zenodo36/100

Fig. 4 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Fig. 4. Corrected number of observations per two-month period for Ligidium hypnorum (N = 345).

opencc-by-4.0Dec 1908View details →
dryad36/100

Integrating light-level geolocation with activity tracking reveals unexpected nocturnal migration patterns of the tawny pipit

Migratory birds complete their seasonal journeys between breeding and non-breeding sites with a series of migratory flights that are separated by prolonged stopovers. While songbirds are the most common taxa among migratory birds, empirical data on flight and stopover behaviour along their entire migratory journeys are still rare. Here, we integrate activity and barometric pressure tracking with classical light-level geolocation to describe migration behaviour of tawny pipits Anthus campestris breeding in Central Europe. Surprisingly, tracked pipits used, on average, as many as 10 stopover sites during their six week, >5000 km long autumn migration. This conforms to a typical hop-type pattern of migration. In contrast to common knowledge which considers the tawny pipit as a typical diurnal migrant, our data revealed that more than 2/3 of all migratory movements were carried out at night. Nocturnal departure times were highly variable within individuals and spread across the entire night while landing most often took place within the first few hours after sunrise. Consequently, there was a negative relationship between departure timing relative to sunset and flight duration. Short flights of up to 2 h were most common and median flight duration was 4.5 h. There was a hyperbolic relationship between flight duration and maximum flight altitude and flight altitudes during night were two times higher compared to daytime. The overall ratio of flight vs stopover duration during migration was on average 1:6.5. This closely matches predictions from theoretical models. We show that multi-sensor tracking has the potential to provide unprecedented details on migratory behaviour of individual birds along their entire migratory journeys, and it also improves the precision of geographical locations derived from light-level geolocators.

opencc-zeroAug 2021View details →
zenodo36/100

Fig. 4 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand

Fig. 4. Observed positions of (a) Callosciurus finlaysonii and (b) C. caniceps.

opencc-by-4.0Jul 2020View details →
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Fig. 5 in Activity pattern and resource use of two Callosciurus species in different habitats in northeastern Thailand

Fig. 5. Frequency of observed height range of Callosciurus finlaysonii and C. caniceps.

opencc-by-4.0Jul 2020View details →
zenodo36/100

Fig. A1. A in The first recorded activity pattern for the Sunda stink-badger Mydaus javanensis (Mammalia: Carnivora: Mephitidae) using camera traps

Fig. A1. A pair of Sunda stink-badgers Mydaus javanensis photo-

opencc-by-4.0Jul 2017View details →
zenodo36/100

Fig. 1 in Home range and activity patterns of Sunda scops owl in Peninsular Malaysia

Fig. 1. Location of Ayer Hitam Forest Reserve, Selangor, Peninsular Malaysia.

opencc-by-4.0Jan 2016View details →
dryad36/100

Lifelong exposure to artificial light at night impacts stridulation and locomotion activity patterns in the cricket Gryllus bimaculatus

<p>This dataset contains data from a laboratory experiments described in the paper: "<span>Levy, K., Wegrzyn, Y., Efronny, R., Barnea, A., &amp; Ayali, A. 2021 Lifelong exposure to artificial light at night impacts stridulation and locomotion activity patterns in the cricket <i>Gryllus bimaculatus.</i> Proc. R. Soc. B 20211626. <a href="https://doi.org/10.1098/rspb.2021.1626">https://doi.org/10.1098/rspb.2021.162</a></span>". </p> <p>Artificial light at night (ALAN) is increasing worldwide,with most of the world population living under light-polluted skies. Growing awareness of the harmful effects of ALAN calls for more comprehensive understanding of these effects. <span>The stridulation and locomotion patterns of adult male crickets reared under different lifelong ALAN intensities were monitored simultaneously for five consecutive days in custom-made anechoic chambers. Activity periods and acrophases were compared between the experimental groups. </span></p> <p><span>Control crickets exhibited a robust rhythm, stridulating at night and demonstrating locomotor activity during the day. In contrast, ALAN affected both the relative level and timing of the crickets' nocturnal and diurnal activity. ALAN induced free-running patterns, manifested in significant changes in the median and variance of the activity periods, and even arrhythmic behavior. The magnitude of disruption was light intensity dependent, revealing an increase in the difference between the activity periods calculated for stridulation and locomotion in the same individual. </span></p> <p><span>Our results demonstrate that ecologically-relevant ALAN intensities affect crickets' behavioral patterns, and may lead to decoupling of locomotion and stridulation behaviors at the individual level, and to loss of synchronization at the population level. </span></p>

opencc-zeroSep 2021View details →
dryad36/100

Data from: Zoning has little impact on the seasonal diel activity and distribution patterns of wild boar (Sus scrofa) in an UNESCO Biosphere Reserve

<p><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>Understanding the spatio‐temporal distribution of ungulates is important for effective wildlife management, particularly for economically and ecologically important species such as wild boar (</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><em>Sus scrofa</em><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>). Wild boars are generally considered to exhibit substantial behavioral flexibility, but it is unclear how their behavior varies across different conservation management regimes and levels of human pressure. To analyze if and how wild boars adjust their space use or their temporal niche, we surveyed wild boars across the core and buffer zones (collectively referred to as the conservation zone) and the transition zone of a biosphere reserve. These zones represent low and high levels of human pressure, respectively. Specifically, we employed a network of 53 camera traps distributed in the Schaalsee UNESCO Biosphere Reserve over a 14‐month period (19,062 trap nights) and estimated circadian activity patterns, diel activity levels, and occupancy of wild boars in both zones. To account for differences in environmental conditions and day length, we estimated these parameters separately for seven 2‐month periods. Our results showed that the wild boars were primarily nocturnal, with diurnal activity occurring dominantly during the summer months. The diel activity patterns in the two zones were very similar overall, although the wild boars were slightly less active in the transition zone than in the conservation zone. Diel activity levels also varied seasonally, ranging from 7.5 to 11.0</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>h day</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><sup>−1</sup><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>, and scaled positively with the length of the night (</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><em>R</em><sup>2</sup> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>=</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span>0.66–0.67). Seasonal occupancy estimates were exceptionally high (point estimates ranged from 0.65 to 0.99) and similar across zones, suggesting that the wild boars used most of the biosphere reserve. Overall, this result suggests that different conservation management regimes (in this case, the zoning of a biosphere reserve) have little impact on wild boar behavior. This finding is relevant for wildlife management in protected areas where possibly high wild boar densities could interfere with conservation goals within these areas and those of agricultural land use in their vicinity.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroNov 2022View details →
zenodo36/100

Activation patterns of afferent synapses on layer 5 tufted pyramidal cells in a biologically detailed simulation

<p>The data set is based on a biologically detailed simulation of a circuit of cortical neurons. The circuit was activated by thalamo-cortical inputs every 1 s for 500 ms. We report for a number of exemplary tufted pyramidal cells in layer 5 the pattern activation of their afferent synapses.</p> <p>Specifically, we report for all afferent excitatory synapses the pairwise path distances along the dendrite / soma (note that the soma was simplified to a point for the purpose of calculating path distances, but not during the simulation), and the times of activation of each of these synapses.</p> <p>The simulation is based on the model described in <a href="https://www.biorxiv.org/content/10.1101/2022.08.11.503144v1">this preprint</a>. The model can also be found <a href="https://zenodo.org/record/6906785">here on Zenodo</a>. For more details on the simulation, contact the author.</p> <p>For more details about the format of the data, refer to the included jupyter notebook.</p>

opencc-by-4.0Nov 2022View details →
dryad36/100

Propagating spatio-temporal activity patterns across macaque motor cortex carry kinematic information

<p>Propagating spatio-temporal neural patterns are widely evident across sensory, motor and association cortical areas. However, it remains unclear whether any characteristics of neural propagation carry information about specific behavioral details. Here, we provide the first evidence for a link between the direction of cortical propagation and specific behavioral features of an upcoming movement on a trial-by-trial basis. We recorded local field potentials (LFPs) from multi-electrode arrays implanted in the primary motor cortex of two rhesus macaque monkeys while they performed a 2-D reach task. Propagating patterns were extracted from the information-rich high-gamma band (200–400Hz) envelopes in the LFP amplitude. We found that the exact direction of propagating patterns varied systematically according to initial movement direction, enabling kinematic predictions. Furthermore, characteristics of these propagation patterns provided additional predictive capability beyond the LFP amplitude themselves, which suggests the value of including mesoscopic spatio-temporal characteristics in refining brain-machine interfaces.</p>

opencc-zeroDec 2022View details →
zenodo36/100

Estimated densities of activity from: Characterising diel activity patterns to design conservation measures: Case study of European bat species

<p>Estimated densities of activity&nbsp;calculated in <em>&quot;Characterising diel activity patterns to design conservation measures: case study of European bat species&quot;</em>&nbsp;(see Materials and Methods for more information on these calculations).</p> <p>The files named &quot;<em>densitiyAllYear</em>&quot; correspond to the estimated densities based on our entire dataset.</p> <p>The files named &quot;<em>densitiySpring</em>&quot; correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 1 March and 21 June.</p> <p>The files named &quot;<em>densitiySummer</em>&quot; correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 June and 21 August.</p> <p>The files named &quot;<em>densitiyAutumn</em>&quot; correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 August and 31 October.</p> <p>The first column of each file (<em>&quot;PercentageNight&quot;</em>) corresponds to the percentage of the night elapsed (0 % = sunset time, 100 % =&nbsp;&nbsp;sunrise time), the second to the estimated activity density (<em>&quot;Density&quot;</em>).</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Data supplement for PhD thesis "Pattern Formation with Mass Conservation - From Passive to Active Models"

<p>Here, we provide <em>Mathematica</em> files that provide the details of the weakly nonlinear analysis employed in the PhD thesis &quot;Pattern Formation with Mass Conservation - From Passive to Active Models&quot; submitted by Tobias Frohoff-H&uuml;lsmann.</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
dryad36/100

Data from: Long-term capture data uncover shifts in the daily activity patterns of Amazonian birds

<p>Although the duration of biological rhythms varies from milliseconds to decades, daily cycles are especially widespread for individual organisms. These circadian rhythms are synchronized by light-dark cycles, which govern predictable changes in other microclimate variables. Despite the fixed, regular nature of these abiotic cycles at low latitudes, little is known about how different animals structure activity along these gradients. We used 25 years of capture-recapture data and ~25,000 unique captures to characterize 'activity' (time of capture) for 65 species of Amazonian birds in the lowest forest stratum (0–2.5 m). To quantify vertical niche breadths, we also measured foraging heights for these same species in the field. Activity peaked within the first two hours after sunrise for most species (71%), while others peaked 1–3 hours later (29%). This difference was associated with an apparent preference for specific vertical strata, as terrestrial and near-ground birds peaked ~1 hour after sunrise, while birds from higher strata delayed their first bouts of activity in the lower understory (by an average of 40 to 100 minutes). Peak capture times also correlated with long-term abundance trends, as only species with the earliest capture times showed strong declines, suggesting that associations with mid- or late-morning microclimates may contribute to resiliency in birds typical of higher strata. Because arboreal species largely avoid the lower understory in the early morning, when terrestrial birds are active, we infer that they are poorly adapted to low-light environments. However, with their broad vertical niches and reliance on brighter microhabitats, we suggest that an arboreal lifestyle diminishes specialization and may increase the capacity to cope with a wider range of daily microclimate conditions. We predict that subtle, but important, shifts in daily activity patterns would materialize if other biodiversity-monitoring programs could analyze similar temporal datasets.</p>

opencc-zeroMar 2023View details →

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Allen Brain Atlas

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

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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