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190 results for “boats”
The influence of boating noise on the parental care behaviors of smallmouth bass (Micropterus dolomieu) during the summer of 2024 at Douglas Lake, Michigan, USA.
Anthropogenic noise is on the increase and in aquatic systems one of the major sources of noise is boat traffic. For organisms in lakes, rivers, and oceans that are capable of hearing, anthropogenic noise may alter behavior in a number of different ways. Here we did a combination of field and experimental work by locating smallmouth bass nests that were actively being guarded by males. Using an underwater drone, we monitored nest guarding behavior before and after a boat ran by the nest. In addition, we monitored behavior during this period while simultaneously recording boat motor noise. The results showed that the sequence of behavior performed by bass was altered during and after the boat ran by the nest.
North Temperate Lakes LTER: Boat Traffic Through Yahara Locks 1976 - 2011
One of the dominant uses of the Madison area lakes is for boating. In order to develop a long term data set on the temporal fluctuations and trends in such activity, the LTER project has obtained records of boat traffic that passes through the locks at the head of the Yahara River on its stretch between Lake Mendota and Lake Monona. This data was gathered by the Dane County Department of Public Works as part of the County''s ongoing monitoring of its own facilities and their use. This data set will be augmented as the Department of Public Works makes updates available. Data is currently only available through 2011. Sampling Frequency: tallied daily April through October; exact starting dates vary each year Number of sites: 1
Interagency Ecological Program: USFWS Delta Boat Electrofishing Survey, 2018-2025
The United States Fish and Wildlife Service's (USFWS) Delta Boat Electrofishing Survey was designed to estimate spatial and temporal trends in abundance, occupancy, capture probabilities, and related environmental drivers of fish assemblages across nearshore littoral habitats within the Sacramento-San Joaquin River Delta. The USFWS Lodi Field Office, in collaboration with the United States Geological Survey, developed the survey in 2018 to expand fish monitoring and inferences in nearshore habitats not monitored by long-term USFWS beach seine surveys within the San Francisco Estuary. The survey uses a robust statistical framework, including a stratified random sampling design and segmented transects that act as spatial replicates for occupancy modeling. For more information on the Lodi U.S. Fish and Wildlife Office: https://www.fws.gov/lodi/
Data from: How do seabirds modify their search behaviour when encountering fishing boats?
Seabirds are well known to be attracted by fishing boats to forage on offal and baits. We used recently developed loggers that record accurate GPS position and detect the presence of boats through their radar emissions to examine how albatrosses use Area Restricted Search (ARS) and if so, have specific ARS behaviours, when attending boats. As much as 78.5% of locations with a radar detection (contact with boat) during a trip occurred within ARS: 36.8% of all large-scale ARS (n=212) and 14.7% of all small-scale ARS (n=1476) were associated with the presence of a boat. During small-scale ARS, birds spent more time and had greater sinuosity during boat-associated ARS compared with other ARS that we considered natural. For, small-scale ARS associated with boats, those performed over shelves were longer in duration, had greater sinuosity, and birds spent more time sitting on water compared with oceanic ARS associated with boats. We also found that the proportion of small-scale ARS tend to be more frequently nested in larger-scale ARS was higher for birds associated with boats and that ARS behaviour differed between oceanic (tuna fisheries) and shelf-edge (mainly Patagonian toothfish fisheries) habitats. We suggest that, in seabird species attracted by boats, a significant amount of ARS behaviours are associated with boats, and that it is important to be able to separate ARS behaviours associated to boats from natural searching behaviours. Our study suggest that studying ARS characteristics should help attribute specific behaviours associated to the presence of boats and understand associated risks between fisheries.
BOATS-Global-Fisheries-Economics-Model-Dataset-Carozza-et-al-2016
<p>Here we provide the MATLAB functions, fisheries data, model forcing data (net primary production and temperature), and model output required to generate the figures and perform calculations from Carozza et al. (2017) [Carozza DA, Bianchi D, Galbraith ED (2017) Formulation, General Features and Global Calibration of a Bioenergetically-Constrained Fishery Model. PLoS ONE 12(1): e0169763. doi:10.1371/journal.pone.0169763]. The plot script (plot_figures_PLoSONE_repository.m) is written in MATLAB version R2012a.</p>
Figure 8 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 8. Section of canopy with red and black vertical lines; in places the black over-paint (earlier) red lines. Photo by Stuart Humphreys (Australian Museum), adapted by S. Florek.
Figure 7 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 7. Boat model port (left side)—mummy is facing the wrong way. Photo from 1970s, Australian Museum.
Figure 6 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 6. Figures on board, showing separately attached arms, belt around the waist (figure on the right), dark hair
Figure 4 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 4. Back of ram's head showing two bases of broken horns, one in the left—solid timber, the right one with hole for pegging horn extension. Photo by Heather Bleechmore.
Figure 11 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 11. Scanning electron micrograph of a tangential longitudinal section of Ziziphus spina-christi (sidr) wood. Electron micrograph by C. R. Cartwright, The British Museum.
Figure 1 in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 1. Funerary boat model (E60381), portboard (left side)—mummy is facing the wrong way. Photo by Stuart Humphreys (Australian Museum, Sydney). See also Plate 1.
Figure 3. X in Egyptian Funerary Boat Model in the Australian Museum: Dating and Analysis
Figure 3. X-ray showing two holes drilled in ram's head, horizontal for pegging horn protrusion and vertical for inserting head insignia. Image by Paula Dredge, adapted by S. Florek.
Dataset: MasterCraft Boat Holdings, Inc. (MCFT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Malibu Boats, Inc. (MBUU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 14. The time that a in Manatee behavioral response to boats
Figure 14. The time that a manatee has to change its behavior (i.e., the time window from when a boat was first audible on the DTAG to when the boat reached its CPA to the manatee) plotted against boat speed at CPA. The criteria to be included in this analysis were: boat passed within 50 m of the manatee; boat did not change its speed class during the pass; it was either a single boat pass or the first within a series of boat passes; and personal watercraft (e.g., Jet Skis) were excluded.
Figure 4 in Manatee behavioral response to boats
Figure 4. The mean rate of change in roll (A), heading (B), depth (C), and fluking (D) for 16 tagged manatees during boat passes with a CPA <50 m, during boat passes with a CPA>50 m, and periods without boat noise. Categories with different letters are significantly different (P <0.05). Standard error of the mean (6 SEM) is represented by whiskers.
Figure 8 in Manatee behavioral response to boats
Figure 8. Model-estimated mean probability of a manatee making a change in depth (6 SEM) according to the order of the boat pass. "First" indicates that the boat pass was a single boat pass or the first boat pass in a series of overlapping boat passes. "Subsequent" indicates a boat pass after the first pass in a series of overlapping boat passes. Means sharing any common letters are not significantly different (P> 0.05). The fixed factor values used to generate these estimates are listed in Table 3.
Figure 11 in Manatee behavioral response to boats
Figure 11. Model-estimated mean time delay from start of boat pass until first change in manatee behavior (6 95% CI) in relation to the time available for change (i.e., time from start of pass to CPA). Results are broken out by fluking state at the start of the pass: high fluking state (orange) and low fluking state (purple). Intermediate fluking state was slightly lower but not significantly different from low fluking state (Fig. S4). The fixed factor values used to generate these estimates are listed in Table 3.
Figure 3 in Manatee behavioral response to boats
Figure 3. Visualization of the acoustic and sensor data recorded by a manatee-borne DTAG for a boat pass while the tagged manatee was resting at 3 m depth. The top plot (A) is a spectrogram (frequency vs. time) from the acoustic record; color denotes amplitude (dark red is loudest). The second plot (B) shows changes in pitch of the manatee's peduncle; the colored horizontal lines at the bottom of the plot depict fluking state: black indicates a period of fluking classified as low, green is intermediate, and red indicates high fluking behavior. The purple triangle indicates an increase in fluking rate. The third plot (C) shows the manatee's roll, the fourth (D) shows the manatee's heading (relative scale), and the bottom plot (E) shows the manatee's depth, all plotted against time (s) on the x-axis. The blue lines on the bottom three plots represent periods of time during which there was a substantial change in the corresponding parameter (e.g., depth). On the bottom plot (E), the first black vertical line on the left indicates the start of the boat pass (i.e., when it first becomes audible on DTAG record), the red line indicates the boat's closest point of approach (CPA), and the black line on the right indicates the end of the boat pass (i.e., no longer audible on the DTAG record). For this pass, the manatee changed its fluking behavior, roll, heading, and depth during the boat pass and the first change in behavior was an increase in fluking state at 5.5 s before CPA (arrow on plot B).
Figure 13 in Manatee behavioral response to boats
Figure 13. The time of a manatee's first change in behavior in relation to boat speed class for boat passes within 50 m of the manatee based on the raw data (n 5 64). (A) Time of behavioral change expressed relative to the start of the pass (i.e., when boat noise first became audible on the DTAG record). (B) Time of behavioral change expressed relative to the time at CPA of the boat. The CPA occurs at 0 s with negative values indicating changes in behavior that occurred before CPA and positive values indicating changes after CPA. The boxes represent the interquartile range, the horizontal line shows the median, and the whiskers indicate the 10th and 90th percentiles.
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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.