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358 results for “advertising”
WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks
<p>Dataset release for our IEEE Symposium on Security and Privacy 2022 paper entitled "WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks"</p> <p>These files are pretty self-explanatory: there are node/edge features of a specified (full graph or random 5K graph).</p> <p>To use these files, make sure to check out GitHub <a href="https://github.com/jun521ju/IEEE_SP_2022_WtaGraph">here</a>. Basically, you need put each of these files in a correct folder as detailed on GitHub.</p> <p> </p>
Figure 2 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 2. Territorial call of Hylodes heyeri from the Municipality of Morretes, Parana´, Brazil. Recorded on 11 January 2002, at 22.4°C. (A) Power spectrum; (B) spectrogram; (C) oscillogram.
Figure 3 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 3. Mean number of advertisement calls (bars) emitted by males of Hylodes heyeri during 5 min of monitoring each hour, and air temperature (line).
Figure 7 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 7. Expanded oscillograms, full-scale oscillograms, and audiospectrograms of the release calls from (A) Bufo biporcatus, (B) Bufo melanostictus, and (C) Rana chalconota. The boxes in the full-scale oscillograms indicate the time shown in the expanded oscillograms.
Figure 6 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 6. Expanded oscillogram, full-scale oscillogram, and audiospectrogram of the advertisement call of the rhacophorid frog Polypedates leucomystax. The box in the full-scale oscillogram indicates the time shown in the expanded oscillogram.
Figure 5 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 5. Discriminant analysis performed with five sound parameters (duration, number of notes, dominant frequency, relative location of maximum amplitude, and frequency amplitude) for the call types of Rana chalconota. Open circles are Type A calls, filled circles are Type B calls, and crosses are Type C calls. The size of the dotted circle corresponds to a 95% confidence limit for the mean.
Figure 4 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 4. Expanded oscillograms, full-scale oscillograms, and audiospectrograms of the three different call types of the ranid Rana chalconota. The boxes in the full-scale oscillograms indicate the time shown in the expanded oscillograms.
Figure 3 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 3. Expanded oscillograms, full-scale oscillograms, and audiospectrograms of the advertisement call of the ranid Occidozyga sumatrana (A) and of other calls (B–D) recorded from a single male after being separated from amplexus with a female. The boxes in the full-scale oscillograms indicate the time shown in the expanded oscillograms.
Figure 2 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 2. Expanded oscillograms, full-scale oscillograms, and audiospectrograms of the advertisement call (Type I) (A) and calls Type II (B) and Type III (C) of the ranid Fejervarya limnocharis. The boxes in the full-scale oscillograms indicate the time shown in the expanded oscillograms.
Figure 1 in Advertisement calls of six species of anurans from Bali, Republic of Indonesia
Figure 1. Expanded oscillograms, full-scale oscillograms, and audiospectrograms of the advertisement calls of the bufonids Bufo biporcatus (A) and B. melanostictus in a chorus (B) and an isolated male (C). The boxes in the fullscale oscillograms indicate the time shown in the expanded oscillograms.
Figure 3 in Assessing the taxonomic status of tropical frogs through bioacoustics: geographical variation in the advertisement calls in the Eleutherodactylus discoidalis species group (Anura)
Figure 3. Discriminant function analyses of the number of pulses, call length, and dominant frequency of species belonging to the Eleutherodactylus discoidalis group. Ellipses only intend to facilitate the observation of groups. BV, Eleutherodactylus cf. cruralis from the Bellavista Mountains; EC, Eleutherodactylus cruralis; ED, Eleutherodactylus discoidalis; EI, Eleutherodactylus ibischi; HO, Eleutherodactylus cf. cruralis from La Hoyada; EM, Eleutherodactylus madidi.
Figure 2 in Assessing the taxonomic status of tropical frogs through bioacoustics: geographical variation in the advertisement calls in the Eleutherodactylus discoidalis species group (Anura)
Figure 2. Oscillogram and sound spectrogram of the advertisement call of: (A) Eleutherodactylus cruralis from Rurrenabaque, Amazonian rainforest; (B) E. cf. cruralis from Bellavista Mountains; (C) E. cf. cruralis from La Hoyada; (D) Eleutherodactylus discoidalis from Campos de Pinos; (E) Eleutherodactylus ibischi from Samaipata Road; (F) Eleutherodactylus madidi from Eslabón.
Figure 4 in Assessing the taxonomic status of tropical frogs through bioacoustics: geographical variation in the advertisement calls in the Eleutherodactylus discoidalis species group (Anura)
Figure 4. Scatterplot for (A) number of pulses and call length, (B) dominant frequency and number of pulses, and (C) dominant frequency and call length of species and populations of the Eleutherodactylus discoidalis group. Lines correspond to normally distributed probability ellipses (0.99, N = 194). BV, Eleutherodactylus cf. cruralis from the Bellavista Mountains; EC, Eleutherodactylus cruralis; ED, Eleutherodactylus discoidalis; EI, Eleutherodactylus ibischi; HO, Eleutherodactylus cf. cruralis from La Hoyada; EM, Eleutherodactylus madidi.
Figure 1 in Assessing the taxonomic status of tropical frogs through bioacoustics: geographical variation in the advertisement calls in the Eleutherodactylus discoidalis species group (Anura)
Figure 1. Map of the Andes of Bolivia showing the studied localities (see also Table 1). 1, Eslabón; 2, Chalalán; 3, Rurrenabaque; 4, Chapare, 500 m; 5, Mataracú; 6, La Hoyada; 7, Samaipata road; 8, Bellavista Mt; 9, Masicurí; 10, Campos de Pinos.
Supporting Information (software and data) for: Client-side energy and GHGs assessment of advertising and tracking in the news websites
<p>This is the open data and free/libre and open source software repository for the article "Client-side energy and GHGs assessment of advertising and tracking in the news websites" by Fabio Pesari, Giovanni Lagioia, Annarita Paiano.</p>
Fig. 7. Advertisement calls. A–B in Redescription of Adenomera diptyx (Boettger, 1885) (Anura, Leptodactylidae) and description of a closely related new species
Fig. 7. Advertisement calls. A–B. Sound file FZ-UNNE 0074 of Adenomera diptyx (Boettger, 1885). C–D. Sound file FZ-UNNE 0284 of A. guarani sp. nov. See Appendix 2 for locality data and voucher specimens. Oscillograms (A, C) show the distinctive note repetition rates in the two species. Call sections are equally scaled (ca 3 s; each tick mark corresponds to 0.5 s). Spectrograms and corresponding oscillograms (B, D) of the first note in A and C.
Figures 1–3 in Individual variation in the advertisement call of Aplastodiscus albosignatus (Anura: Hylidae) is correlated with body size and environmental temperature
Figures 1–3. Location of the study area: (1) map of Brazil highlighting the state of Paraná; (2) map of Paraná indicating the study area; (3) map of Paraná highlighting the physiognomy of the vegetation.
Impact of Vaping Prevention Advertisements
ClinicalTrials.gov study NCT04836455. IPD Sharing: YES. Countries: 1. Publications: 2.
Data belonging to paper 'Detecting Faces, Medium Types, Gender in Historical Advertisments'
<p>This dataset contains annotations, intermediate data, and outputted models for the VISART paper <em>'Detecting Faces, Medium Types, Gender in Historical Advertisments</em>.'</p> <p> </p> <p>See the <a href="https://github.com/melvinwevers/detecting_faces-medium-types-gender">repo</a> on GitHub for info on how to use this data.</p>
Data from: Agonistic character displacement in social cognition of advertisement signals
Interspecific aggression between sibling species may enhance discrimination of competitors when recognition errors are costly, but proximate mechanisms mediating increased discriminative ability are unclear. We studied behavioral and neural mechanisms underlying responses to conspecific and heterospecific vocalizations in Alston's singing mouse (Scotinomys teguina), a species in which males sing to repel rivals. We performed playback experiments using males in allopatry and sympatry with a dominant heterospecific (Scotinomys xerampelinus) and examined song-evoked induction of egr-1 in the auditory system to examine how neural tuning modulates species-specific responses. Heterospecific songs elicited stronger neural responses in sympatry than in allopatry, despite eliciting less singing in sympatry. Our results refute the traditional neuroethological concept of a matched filter and instead suggest expansion of sensory sensitivity to mediate competitor recognition in sympatry.
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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.