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294 results for “temporal pattern”
Raw data for Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests
<p>This dataset, utilized in the research paper "<a href="https://doi.org/10.12688/f1000research.141951.1">Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests</a>", comprises columns such as site_name, longitude (WGS84), latitude (WGS84), altitude (meters above sea level), vegetation types, date, hour, minute, julian_day, scientific_name, and Vocal Activity Rate per minute (VAR_m). It encompasses data gathered from twelve Passive Acoustic Monitoring (PAM) stations positioned within Yushan National Park (YSNP), Taiwan. The collection period spanned from March 1 to June 30, 2021. The dataset documents 8,202,731 vocalizations from twelve bird species, detected using an automated sound identification tool named SILIC (Sound Identification and Labeling Intelligence for Creatures). The vocalization data is aggregated by site, species, and time (down to the minute).</p>
FIG. 1 in Temporal Patterns of Mating Activity in Alpine Newts, Ichthyosaura alpestris
FIG. 1. Number of mating pairs in relation to (A) the time and (B) the day, with 95% credible intervals (dotted lines). The yellow lines show the model prediction for the number of mating pairs while the lights were on; blue lines show the model prediction for lights off. Points show the raw data (yellow: lights on; blue: lights off) and are jittered for better visibility. n = 172 observations on 51 males and 54 females.
Data Artifact for "Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching"
<p>This dataset contains the Ligra, PARSEC, GAP, and QMM traces used in our paper "Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching", which is accepted by HPCA'25. These traces are provided as part of the AE proces.</p>
Supplementary Information: Human populations in the world's mountains: spatio-temporal patterns and potential controls
<p>Supplementary Information (data, code, figures) for "Human populations in the world’s mountains: spatio-temporal patterns and potential controls" (Thornton et al., 2022)</p>
Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses
<p>All data used in the study https://doi.org/10.1101/2023.01.12.523643 can be found here. </p>
Figs 79–92 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 79–92. Oscillograms of male calling signals: 79–82 — Evacanthus asiaticus; 83–88 — Limotettix (Scleroracus) russeolus; 89–92 — Hephathus nanus. Faster oscillograms of the parts of signals indicated as "86–88" and "91–92" are given under the same numbers. Рис. 79–92. Осциллограммы приЗывных сигналов: 79–82 — Evacanthus asiaticus; 83–88 — Limotettix (Scleroracus) russeolus; 89– 92 — Hephathus nanus. Фрагменты сигналов, обоЗначенные цифрами "86–88" и "91–92", представлены на осциллограммах под такими же номерами.
Figs 64–78 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 64–78. Oscillograms of male calling signals: 64–65 — Handianus fartilis; 66–69 — Aconurella diplachnis; 70–78 — Fangamanus tripunctatus. Faster oscillograms of the parts of signals indicated as "67–69" and "74–78" are given under the same numbers. Рис. 64–78. Осциллограммы приЗывных сигналов: 64–65 — Handianus fartilis; 66–69 — Aconurella diplachnis; 70–78 — Fangamanus tripunctatus. Фрагменты сигналов, обоЗначенные цифрами "67–69" и "74–78", представлены на осциллограммах под такими же номерами.
Figs 54–63 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 54–63. Oscillograms of male calling signals: 54–57 — Macropsis megerlei; 58–63 — M. ornata. Faster oscillograms of the parts of signals indicated as "56–57" and "61–63" are given under the same numbers. Рис. 54–63. Осциллограммы приЗывных сигналов: 54–57 — Macropsis megerlei; 58–63 — M. ornata. Фрагменты сигналов, обоЗначенные цифрами "56–57" и "61–63", представлены на осциллограммах под такими же номерами.
Figs 39–53 in Comparative analysis of male calling signals in closely related species of Macropsis Lewis, 1836 (Homoptera: Auchenorrhyncha: Cicadellidae: Eurymelinae: Macropsini) reveals possible ways of evolution of the signal temporal pattern
Figs 39–53. Oscillograms of male calling signals: 39–47 — Macropsis milkoi; 48–53 — M. aselae. Faster oscillograms of the parts of signals indicated as "40", "46–47", and "52–53" are given under the same numbers. Рис. 39–53. Осциллограммы приЗывных сигналов: 39–47 — Macropsis milkoi; 48–53 — M. aselae. Фрагменты сигналов, обоЗначенные цифрами "40", "46–47" и "52–53", представлены на осциллограммах под такими же номерами.
Modeling Compliance Specifications in Linear Temporal Logic, Event Processing Language and Property Specification Patterns
<p>Experimental material & data</p>
Supplementary material 5 from: Cabezas MP, Ros M, Santos AM, Martínez-Laiz G, Xavier R, Montelli L, Hoffman R, Fersi A, Dauvin JC, Guerra-García JM (2019) Unravelling the origin and introduction pattern of the tropical species Paracaprella pusilla Mayer, 1890 (Crustacea, Amphipoda, Caprellidae) in temperate European waters: first molecular insights from a spatial and temporal perspective. NeoBiota 47: 43-80. https://doi.org/10.3897/neobiota.47.32408
: Explanation note: A Phylogenetic tree of nuclear 28S rRNA. Unfortunately, this gene could not be amplified in P.tenuis species. In P.pusilla, only two haplotypes were detected, differing only by the presence of an indel. B Phylogenetic tree of nuclear ribosomal internal transcribed spacer (ITS). No variation was observed among P.pusilla sequences. Trees were rooted with Caprelladanilevskii and Caprellaliparotensis. Values at the nodes correspond to ML bootstrap support and Bayesian posterior probabilities, respectively.
Figure 2 in Occurrence and temporal activity pattern of Burmese Red Serow (Capricornis rubidus, Bovidae) in Baraiyadhala National Park, Bangladesh: insights from a camera trapping study
Figure 2: Camera trapped photo of Red Serow from the study area. The top image depicts an adult and a juvenile, and the bottom image is of an adult male.
Figure 1 in Occurrence and temporal activity pattern of Burmese Red Serow (Capricornis rubidus, Bovidae) in Baraiyadhala National Park, Bangladesh: insights from a camera trapping study
Figure 1: Study area and camera trap sites, indicating camera trap sites with Burmese Red Serow detection and sites where serows were not detected.
Figure 3 in Occurrence and temporal activity pattern of Burmese Red Serow (Capricornis rubidus, Bovidae) in Baraiyadhala National Park, Bangladesh: insights from a camera trapping study
Figure 3: Temporal activity pattern and overlap estimates for focal species Burmese Red Serow and sympatric Barking Deer and Wild Boar.
Data from: Drivers of spatio-temporal patterns of salinity in Spanish rivers: a nationwide assessment
The salinization of freshwaters is a global water quality problem that leads to the biological degradation of aquatic ecosystems. However, little is known about the spatial extent of freshwater salinization and the relative contribution of each human activity (e.g. agriculture, urbanization, mining or shale-gas extraction). Here, we investigated environmental factors that explain spatio-temporal patterns of water salinity and examined the causes, the extent and the degree of salinization of Spanish rivers. Results showed a strong variation in water salinity among river typologies and between river reaches in good and poor ecological status according to the Water Framework Directive. The variation in water salinity was largely explained by a combination of natural (i.e. climate and geology) and anthropogenic (i.e. land use) factors. By contrast, land use factors as urbanization and agriculture were the main drivers of salinization, which affected more than one quarter of the rivers and streams in Spain, especially those in the most arid regions (central and southern regions) and in the main courses of the largest rivers such as the Ebro, Douro and Tajo rivers. The information provided here can be relevant to set priority regions and actions to ameliorate freshwater salinization.
Data from: Defining spatial and temporal patterns of phylogeographic structure in Madagascar's iguanid lizards (Genus Oplurus)
Understanding the remarkably high species diversity and levels of endemism found among Madagascar's flora and fauna has been the focus of many studies. One hypothesis that has received much attention proposes that Pleistocene climate fluctuations spurred diversification. However, while spatial patterns of distribution and phylogenetic relationships can provide support for biogeographic predictions, temporal estimates of divergence are required to determine the fit of these geospatial patterns to climatic or biogeographic mechanisms. We use multilocus DNA sequence data to test whether divergence times among Malagasy iguanid lizards of the subfamily Oplurinae are compatible with a hypotheses of Quaternary diversification. We estimate the oplurine species tree and associated divergence times under a relaxed clock model. In addition, we examine the phylogeographic structure and population divergence times within two sister-species of Oplurus primarily distributed in the northwest and southwest of Madagascar (O. cuvieri and O. cyclurus, respectively). We find that divergence events among oplurine lineages occurred in the Oligocene and Miocene and are thus far older and incompatible with the hypothesis that recent climate fluctuations are related to current species diversity. However, the timing of intraspecific divergences and spatial patterns of population genetic structure within O. cuvieri and O. cyclurus suggest a role for both intrinsic barriers and recent climate fluctuations at population-level divergences. Integrating information across spatial and temporal scales allows us to identify and better understand the mechanisms generating patterns diversity.
Figure 1 in Temporal organization patterns of epigean beetle communities (Coleoptera: Carabidae, Tenebrionidae) in different successional stages of eastern Mediterranean maquis
Figure 1. The location of the five study sites in eastern Mediterranean. a, Pacheia Ammos (Crete); b, Moutsouna (Naxos); c, Agia Marina (Attiki); d, Psili Ammos (Samos); e, Kourio (Cyprus).
Figure 3 in Temporal organization patterns of epigean beetle communities (Coleoptera: Carabidae, Tenebrionidae) in different successional stages of eastern Mediterranean maquis
Figure 3. Activity density (number of individuals/100 trap-days) of tenebrionid beetles per morphoecological type in the five sampling sites. Abbreviations are defined in Table 3.
Figure 2 in Temporal organization patterns of epigean beetle communities (Coleoptera: Carabidae, Tenebrionidae) in different successional stages of eastern Mediterranean maquis
Figure 2. Activity density (number of individuals/100 trap-days) of carabid beetles per morphoecological type in the five sampling sites. Abbreviations are defined in Table 3.
Figure 2 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 2. Non-metric multi-dimensional scaling (MDS) ordination showing hemipteran composition for all sampling periods with selected plant species superimposed.
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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.