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Figure 4 in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 4. Comparison by dive types between (A) behavior predicted from the k-means cluster analysis of time-depth dive records (n = 38,338) and (B) behavior manually scored from animal-borne video dive data (n = 309).
Figure 7 in Underwater acoustic behavior of bearded seals (Erignathus barbatus) in the northeastern Chukchi Sea, 2007-2010
Figure 7. Proportion of bearded seal calls for all overwinter 2007–2008 (A) and overwinter 2008–2009 (B) recording stations (samples were 10 min long and recorded every 10th day).
Figure 6 in Underwater acoustic behavior of bearded seals (Erignathus barbatus) in the northeastern Chukchi Sea, 2007-2010
Figure 6. Diel pattern of bearded seal calls combined across all summer 2009 (A) and summer 2010 (B) recording stations. Vertical bars represent the percentage of time bins that have calls present in each 1 h time bin. Horizontal bars indicate periods of daylight (white), periods of darkness (dark gray), and periods of daylight or darkness depending on the time of recording (light gray).
Figure 2 in Underwater acoustic behavior of bearded seals (Erignathus barbatus) in the northeastern Chukchi Sea, 2007-2010
Figure 2. Bearded seal calls representing the major call types found in the Chukchi Sea dataset. Call types are modified from Risch et al. (2007). See Table 2 for call type definitions.
Figure 3 in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 3. The mean proportion (with SD whiskers) of dives that were classified into each dive type (1–4) for all dives in the cluster data set (n = 38,338).
Figure 2 in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 2. (A) Empirical haul-out probability distributions for leopard seals at Cape Shirreff based on 209 haul outs from 18 animals in January and February from 2008 to 2014. (B) A polynomial linear regression (solid line) which predicts haul-out probability based on time (h) from local apparent noon; 95% confidence intervals (dashed lines).
Figure 5 in Use of time-at-temperature data to describe dive behavior in five species of sympatric deep-diving toothed whales
Figure 5. Boxplots comparing approximate dive depth distributions derived using time-attemperature (TAT) data from SPOT satellite tags, to time-at-depth (TAD) summaries, generated from directly observed dive depth time series from SPLASH satellite tag deployments on (a) melon-headed whales (Peponocephala electra), (b) short-finned pilot whales (Globicephala macrorhynchus), (c) sperm whales (Physeter macrocephalus), (d) Blainville's beaked whales (Mesoplodon densirostris), and (e) Cuvier's beaked whales (Ziphius cavirostris). Mean of bottom depths (MBD) at the continuous time correlated random walk (CTCRW) maximum likelihood estimated locations of TAT histograms are shown on each plot.
Figure 4 in Use of time-at-temperature data to describe dive behavior in five species of sympatric deep-diving toothed whales
Figure 4. Illustrating three representations of 8.5 d time series of melon-headed whale (Peponocephala electra, (a–c), and sperm whale (Physeter macrocephalus, (d–f) time-at-temperature (TAT) histograms. Column 1 shows the median and variability in the proportion of time spent in 12 depth/temperature strata in a box-plot representation. Column 2 shows a time series representation with a fixed depth scale and variable box dimensions representing the local estimated depths of TAT strata. Column 3 shows the same data in an analogous representation, but with a depth scale that indicates the study-area-wide central tendency of isotherm depths and internal box dimensions that remain fixed.
Figure 3 in Use of time-at-temperature data to describe dive behavior in five species of sympatric deep-diving toothed whales
Figure 3. Prediction surfaces of the (a) linearly approximated depth observations and estimated mean depth field of three example isotherms (8°C, 14°C, and 20°C), that were predicted using five interpolation methods: (b) 0.5° grid cell mean, (c) HYCOM reanalysis, (d) quadratic linear model, (e) objective analysis based on the quadratic linear model, and (f) generalized additive model. The color scale in each panel represents a 250 m range centered on median observed depth of each displayed isotherm, thus the relatively muted color contrast in the 20°C series of plots reflects the lower total variability in isotherm depth at this temperature level when compared with the 8°C and 14°C series of plots.
Fig. 4 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 4. Mean (± 95 % CI) standing crop of floral nectar on inflorescences of three floral morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 3 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 3. Mean (± 95 % CI) number and duration of the foraging events recorded by Apis mellifera (A, B) and Lycastrirhyncha nitens (C, D) on inflorescences of L (black circle), M (gray circle) and S (white circle) morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 2 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 2. Total activity time (± 95 % CI) of Apis mellifera and Lycastrirhyncha nites on inflorescences of L (black circle), M (gray circle) and S (white circle) morphs of Pontederia sagittata during daily periods of video-recording.
Fig. 1 in Temporal variation in the behavior of Apis mellifera (Hymenoptera: Apidae) and Lycastrirhyncha nitens (Diptera: Syrphidae) on Pontederia sagittata (Commelinales: Pontederiaceae) inflorescences in relation to nectar availability
Fig. 1. Position of styles and stamens and differences in pollen size in the three floral morphs of Pontederia sp. a) long-styled [L], b) mid-styled [M] and c) shortstyled [S] (Zomlefer 1994). Legitimate pollinations are indicated by arrows.
Fig. 3 in Feeding behavior of Diaphorina citri (Hemiptera: Liviidae) and its acquisition of 'Candidatus Liberibacter asiaticus', on huanglongbing-infected Citrus reticulata leaves of several maturity stages
Fig. 3. The major EPG variables of Diaphorina citri adults feeding on citrus leaves of several maturity stages. Mean (+SE) (A) durations of pathway phase (C), xylem phase (G) and phloem phase (E1+E2) (B) durations of phloem salivation (E1), phloem ingestion (E2) and salivation before phloem ingestion (E1 before E2) (C) percentage of salivation in total phloem activities (E1/E1+E2) (D) time from start to first salivation in phloem (Time to first E1) and to the first ingestion from phloem (Time to first E2) and (E) numbers of single E1 (single salivation) and E1 followed by E2 (salivation followed by ingestion). Within the same series, means capped by the same letter are not significantly different according to Duncan's Multiple Range test (P> 0.05).
Fig. 2 in Dim light during scotophase enhances sexual behavior of the oriental tobacco budworm Helicoverpa assulta (Lepidoptera: Noctuidae)
Fig. 2. Effects of light intensity and time into scotophase on sex pheromone (Z9-16:Ald) titer in pheromone glands of Helicoverpa assulta. Data in the same column followed by different letters are significantly different (Tukey multiple comparison test, P <0.05). Each treatment was replicated 10 times (N = 10).
Fig. 3 in Dim light during scotophase enhances sexual behavior of the oriental tobacco budworm Helicoverpa assulta (Lepidoptera: Noctuidae)
Fig. 3. Effects of light intensity on the mating rate (%) of Helicoverpa assulta. Each value is the mean ± SE of 9 collections. Capital and lowercase letters above each bar indicate significant differences at 1 h and 8 h into scotophase, respectively (Tukey multiple comparison test, P <0.05).
Fig. 1 in Dim light during scotophase enhances sexual behavior of the oriental tobacco budworm Helicoverpa assulta (Lepidoptera: Noctuidae)
Fig. 1. Effects of light intensity and time into scotophase on percentage of virgin females calling. Thirty-seven to 40 female moths were used in each treatment. Percentage of calling = 100 × number of calling females at the time point / total number of females.
Fig. 1 in Effects of the antennal sensilla distribution pattern on the behavioral responses of Tribolium castaneum (Coleoptera: Tenebrionidae)
Fig. 1. Tribolium castaneum antennal ultrastructure observations. Dorsal view of the whole antenna with 11 antennal segments with a black line indicating where antennae were cut. Sensilla basiconica were found only on the last 3 segments of the antennae and sensilla trichodea on all antennal segments.
Fig. 3 in Effects of the antennal sensilla distribution pattern on the behavioral responses of Tribolium castaneum (Coleoptera: Tenebrionidae)
Fig. 3. SEM photomicrographs of 6 types (A1, B1, C1, D1, E1, F1) of sensilla basiconica (SB) showing lateral view of the antennae of Tribolium castaneum. TEM photomicrographs 6 types (A2, B2, C2, D2, E2, F2) of sensilla basiconica (SB) showing the thin wall and continuous pores and dendrites. CW = cuticle wall, P = pores, D = dendrites, SBI = sensilla basiconica type 1, SBII = sensilla basiconica type II, SBIII = sensilla basiconica type III, SB IV = sensilla basiconica type IV, SBV = sensilla basiconica type V, SBVI = sensilla basiconica type VI.
A Service Robot in the Wild: Analysis of Users Intentions, Robot Behaviors, and Their Impact on the Interaction
<p>This file contains human-robot interaction data acquired during an experiment conducted at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). The campaign focuses on collecting non-identifying data, such as torso trajectories and the internal state of the system, from people in the proximity of a robot. The study spans three days in two different environments at the University Campus Est in Lugano, Switzerland.</p> <div> <div> <div> <div> <p>The campaign adheres to ethical guidelines and is approved by SUPSI's local ethics committee.</p> <p>Duration: Total of 5 hours and 7 minutes.</p> <p>Participants: 1777 individuals tracked.</p> <p><strong>Environments:</strong></p> <ul> <li>Entrance to the campus canteen (demographically diverse, including students and staff).</li> <li>Corridor between classrooms (mainly attended by students).</li> </ul> <p><strong>Data Types</strong>:</p> <ul> <li>Robot Sensor: Timestamps, user ID, 3D torso pose in Robot Sensor frame, interaction intention detector output.</li> <li>Environment Sensor: Timestamps, user ID, 3D poses of torso and hands in Environment Sensor frame, 2D torso positions in the sensor’s field of view.</li> <li>Robot State: Currently selected behavior, state (idle or performing an offering motion).</li> </ul> <p><strong>Key Events</strong>:</p> <ul> <li>Pick Motion: User's hand movement within 0.3 meters of the box.</li> <li>Robot Offer: Robot begins an offering motion.</li> <li>Successful Offer: Pick Motion within 6 seconds of a Robot Offer.</li> </ul> </div> </div> </div> </div> <div> <div> <div> </div> </div> </div>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.