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69 results for “species frequency”
FIGURE 6 in Description of a new genus and two new species of high frequency cicada from New Caledonia (Insecta: Hemiptera, Cicadoidea, Cicadidae)
FIGURE 6. Murmurillana inaudibilis Delorme sp. nov. Nouvelle-Calédonie, Province Nord, Ponerihouen, Massif de l'Aoupinié, 11/II/2015. Graphic representation of a typical male calling song. A) Oscillogram of a record of 53 seconds. B) Oscillogram of a piece of record of 1 second showing the rate of echemes emission. C) Spectrogram of a piece of 1 second. D) Power spectrum.
FIGURE 10 in Description of a new genus and two new species of high frequency cicada from New Caledonia (Insecta: Hemiptera, Cicadoidea, Cicadidae)
FIGURE 10. Murmurillana paenetacita Delorme sp. nov., pygofer ventral view of holotype male (Photography: Laurent Fauvre, MNHN).
FIGURE 5 in Description of a new genus and two new species of high frequency cicada from New Caledonia (Insecta: Hemiptera, Cicadoidea, Cicadidae)
FIGURE 5. Murmurillana inaudibilis Delorme sp. nov., pygofer ventral view of holotype male (Photography: Laurent Fauvre, MNHN).
Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow
<p>Plant-pollinator networks have been repeatedly reported as cumulative ones that are described with >1 years observations. However, such cumulative networks are composed of pairwise interactions recorded at different periods, and thus may not be able to reflect the reality of species interactions in nature (e.g., early-flowering plants typically do not compete for shared pollinators with late-flowering plants, but they are assumed to do so in accumulated networks). Here, we examine the monthly sampling structure of an alpine plant-pollinator bipartite network over a two-year period to determine whether relative species abundance and species traits better explain the network structure of monthly networks than yearly ones. Although community composition and species abundance varied from one month to another, the monthly networks (as well as the yearly networks described with annual pooled data) had a highly nested structure, in which specialists directly interact with generalist partners. Moreover, relative species abundance predicted the nestedness in both the monthly and yearly networks and accounted for a statistically significant percentage of the variation (i.e., 20%-44%) in the pairwise interactions of monthly networks, but not yearly networks. The combination of relative species abundance and species traits (but not species traits only) showed a similar prediction power in terms of both network nestedness and pairwise interaction frequencies. Considering the previously recognized structural pattern and associated mechanisms of plant-pollinator networks, we propose that relative species abundance may be an important factor influencing both nestedness and interaction frequency of pollination networks.</p>
Species cover of open savanna plant communities under different fire frequencies.
<p>Bare soil percentage, dead biomass, and species cover data of plant communities of open savanna under different fire frequency treatments (annual fire, biennial fire, and fire exclusion).</p>
Data from: Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
Camera traps can be used to address large-scale questions in community ecology by providing systematic data on an array of wide-ranging species. We deployed 225 camera traps across 1,125 km2 in Serengeti National Park, Tanzania, to evaluate spatial and temporal inter-species dynamics. The cameras have operated continuously since 2010 and had accumulated 99,241 camera-trap days and produced 1.2 million sets of pictures by 2013. Members of the general public classified the images via the citizen-science website www.snapshotserengeti.org. Multiple users viewed each image and recorded the species, number of individuals, associated behaviours, and presence of young. Over 28,000 registered users contributed 10.8 million classifications. We applied a simple algorithm to aggregate these individual classifications into a final 'consensus' dataset, yielding a final classification for each image and a measure of agreement among individual answers. The consensus classifications and raw imagery provide an unparalleled opportunity to investigate multi-species dynamics in an intact ecosystem and a valuable resource for machine-learning and computer-vision research.
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images. in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images.
FIGURE 2. Call measurements: 1) number of frequency peaks; 2) maximum frequency; 3) rising or falling call; 4) start frequency; 5) amplitude of the largest modulation; 6) duration up to the largest modulation; 7) minimum frequency; 8) end frequency; 9) call duration. in --Molecular--and--acoustic--evidence--support--the--species--status--of--Anthus rubescens rubescens and--Anthus [rubescens] japonicus--(Passeriformes:--Motacillidae)
FIGURE 2. Call measurements: 1) number of frequency peaks; 2) maximum frequency; 3) rising or falling call; 4) start frequency; 5) amplitude of the largest modulation; 6) duration up to the largest modulation; 7) minimum frequency; 8) end frequency; 9) call duration.
Data from: Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna
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Data from: Tracing the effects of eutrophication on molluscan communities in sediment cores: outbreaks of an opportunistic species coincide with reduced bioturbation and high frequency of hypoxia in the Adriatic Sea
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Data from: Persistently rare species experience stronger negative frequency dependence than common species: a statistical attractor that is hard to avoid
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Data from: Cumulative frequency-dependent selective episodes allow for rapid morph cycles and rock-paper-scissors dynamics in species with overlapping generations
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Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow
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Data from: Frequency dependence of pollinator visitation rates suggests that pollination niches can allow plant species coexistence
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Data from: Accounting for differences in species frequency distributions when calculating beta diversity in the fossil record
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Data from: The rate of transient beta frequency events predicts behavior across tasks and species
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Data from: Disentangling the effects of precipitation amount and frequency on the performance of 14 grassland species
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Data from: Frequency dependence and ecological drift shape coexistence of species with similar niches
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How much does Ne vary among species? Site Frequency Spectrum data
<p><br> This directory contains Site Frequency Spectra (SFS) data analyzed by Galtier & Rousselle 2020, https://www.biorxiv.org/content/10.1101/861849v1</p> <p>All files are in DoFE format (see http://www.lifesci.susx.ac.uk/home/Adam_Eyre-Walker/Website/Software.html), with the additional #unfolded annotation when required.</p> <p>There are four subdirectories:</p> <p>- primates_fruitflies: unfolded SFS from 5 species of primates and 5 species of fruitflies, all mutations and GC-conservative mutations only.<br> - Rousselle_et_al_2019: unfolded SFS from 50 species from 10 groups of animals, all mutations and GC-conservative mutations only.<br> - Chen_et_al_2017: folded SFS from 23 species of animals, all mutations; please note that the Chen et al. 2017 SFS, although folded, are encoded as unfolded for consistency.<br> - Galtier_2016: unfolded SFS from 28 species of animals, all mutations.</p> <p>Example command lines:</p> <p>#Gamma<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -fold<br> #Gamma+lethal, plth=0.6<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -p_lethal 0.6 -fold<br> #Reflected Gamma+lethal, plth=0.6<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model ReflectedGamma -p_lethal 0.6 -fold<br> #Gamma+lethal, plth=0.6, unfolded<br> multi_grapes1.1 -in primates_fruitflies.dofe -out pf.csv -model GammaZero -p_lethal 0.6</p> <p> </p>
Data from: Fewer new species colonize at low frequency N addition in a temperate grassland
1. Biologically reactive nitrogen (Nr) enrichment threatens biodiversity in diverse ecosystems. Previous controlled N addition experiments may overestimate the effects of atmospheric Nr deposition on the rate of species loss, as it has been found that low frequency Nr additions, as used in traditional studies, lead to more rapid biodiversity loss. It remains unclear, however, whether the colonization of new species (gain) or extinction of old species (loss) is the cause of this difference. 2. By independently manipulating the frequency (twice vs. monthly additions yr–1) and the rate (from 0 to 50 g N m–2 yr–1) of NH4NO3 inputs for six years in a temperate grassland of northern China, we aimed to examine the contribution of gain and loss of species to the reduction in species richness under different regimes of Nr inputs. 3. Results showed that the gain of new species was higher at a high frequency of N addition than that at a low addition frequency, whilst loss of existing species was similar between the two frequencies of N addition. The number of new species gained decreased and old species lost increased with the increasing rate of Nr addition at both annual and five-year intervals. Cumulative gain of new species was negatively correlated with soil acidification, ammonium concentration and community biomass accumulation, whereas cumulative loss of old species was positively correlated with these variables. 4. Our results revealed lower new species colonization results in lower species richness at low frequency of Nr addition. Findings from this study highlight the important role of N addition frequency in regulating the effects of Nr addition on community dynamics. To assess the effects of atmospheric Nr deposition on ecosystem structure and functioning, it is necessary to assess not only the dose but also the frequency of N addition.
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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.