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opencc-zeroOct 2020View details →

Data from - Ecological insights from three decades of animal movement tracking across a changing Arctic

We provide here the data used in analysis of 3 test cases, presented in the manuscript "Ecological insights from three decades of animal movement tracking across a changing Arctic". We utilized the new Arctic Animal Movement Archive (AAMA), a growing collection of 201 standardized terrestrial and marine animal tracking studies from 1991–present. The AAMA supports public data discovery, preserves fundamental baseline data for the future, and facilitates efficient, collaborative data analysis. With three AAMA-based case studies, we document climatic influences on the migration phenology of eagles, geographic differences in adaptive response of caribou reproductive phenology to climate change, and species-specific changes in terrestrial mammal movement rates in response to increasing temperature.

opencc-zeroDec 2016View details →

Data from: From animal tracks to fine-scale movement modes: a straightforward approach for identifying multiple, spatial movement patterns

1. Thanks to developments in animal tracking technology, detailed data on the movement tracks of individual animals are now attainable for many species. However, straightforward methods to decompose individual tracks into high-resolution, spatial modes are lacking but are essential to understand what an animal is doing. 2. We developed an analytical approach that combines separately-validated methods into a straightforward tool for converting animal GPS tracks to short-range movement modes. Our three-step analytical process comprises: (1) decomposing data into separate movement segments using behavioural change point analysis; (2) defining candidate movement modes and translating them into non-linear or linear equations between net squared displacement (NSD) and time; and (3) fitting each candidate equation to NSD segments and determining the best-fitting modes using Concordance Criteria, Akaike's Information Criteria and other fine-scale segment characteristics. We illustrate our approach for three sub-adults, male wild boar Sus scrofa tracked at 15 min intervals over 4 months using GPS collars. We defined five candidate movement modes based on previously published studies of short-term movements: encamped, ranging, round trips (complete and partial), and wandering. 3. Our approach successfully classified over 80% of the tracks into these movement modes lasting between 5 and 54 hours and covering between 300 m to 20 km. Repeated analyses of GPS data resampled at different rates indicated that one positional fix every 3-4 h was sufficient for >70% classification success. Classified modes were consistent with published observations of wild boar movement, further validating our method. 4. The proposed approach advances the status quo by permitting classification into multiple movement modes (where these are adequately discernable from spatial fixes) facilitating analyses at high temporal and spatial resolutions, and is straightforward, largely objective, and without restrictive assumptions, necessary parameterizations or visual interpretation. Thus, it should capture the complexity and variability of tracked animal movement mode for a variety of taxa across a wide range of spatial and temporal scales.

opencc-zeroJan 2022View details →

Spatiotemporal variation in hatching success and nestling sex ratios track rapid movement of a songbird hybrid zone

Hybridization often occurs at the parapatric range interface between closely related species, but fitness outcomes vary: hybrid offspring exhibit diverse rates of viability and reproduction when compared to their parental species. The mobile hybrid zone between two chickadee congeners ( Poecile atricapillus x P. carolinensis ) has been well studied behaviorally and genetically but the viability of hybrids, as well as the underlying mechanisms contributing to hybrid fitness, have remained unclear. To better characterize the fitness costs of hybridization in this system, we analyzed 21 years of data from four sites, including over 1,400 breeding attempts by the two species, to show that rates of hatching success changed substantially as the zone of hybridization moved across the landscape. Admixture-associated declines in hatching success correlated with reduced proportions of heterogametic (female) offspring as predicted by Haldane's rule. Our data support an underlying mechanism implicating genetic admixture of the homogametic (male) parent as the primary determinant of offspring sex ratio, via incompatibilities on the hemizygous Z chromosome. Our long-term study is the first to directly measure changes in fitness costs as a vertebrate hybrid zone moves, and it shows that changes in these costs are a way to track the distribution of a hybrid zone across the landscape.

opencc-by-4.0May 2023View details →

Pointing movements and eye-tracking data_Facilitated Communication Users

The repository contains all the pre-sorted data used for the analysis described in the paper. Data are divided into three: <ul> <li>in A, we report the movement data of each pointing gesture considered in the analysis.</li> <li>in B we report keystrokes' related data.</li> <li>in C we report the sorted eye-tracking data.</li> </ul> <h3>A. User Correct Movements:</h3> Each participant's data is organized into a 1xN cell array in Matlab, where N represents the number of pointing gestures analyzed. Each cell contains an Nx8 column vector with the following information: <ol> <li> Time Information (column 1): <ul> <li>Time associated with the pointing gesture (milliseconds).</li> </ul> </li> <li> Arm Coordinates (columns 2,3 and 4): <ul> <li>X-axis coordinates (millimetres).</li> <li>Y-axis coordinates (millimetres).</li> <li>Z-axis coordinates (millimetres).</li> </ul> </li> <li> EMG Deltoid Activation (Facilitator) (columns 5, and 6) : <ul> <li>Rectified EMG deltoid activation.</li> <li>Envelope EMG deltoid activation.</li> </ul> </li> <li> EMG Deltoid Activation (User) (columns 7 and 8): <ul> <li>Rectified EMG deltoid activation.</li> <li>Envelope EMG deltoid activation.</li> </ul> </li> </ol> <h3>B. Users' Keys Pressed with Probability:</h3> Each participant's data is organized into an Nx6 string array, where N represents the number of pointing gestures analyzed. Each array contains the following information: <ol> <li> Key Press Time: <ul> <li>Absolute time the key is pressed (milliseconds, as recorded by the key-logger).</li> </ul> </li> <li> Time Between Keystrokes: <ul> <li>Difference in milliseconds between two consecutive keystrokes.</li> </ul> </li> <li> Key Pressed: <ul> <li>The key that has been pressed.</li> </ul> </li> <li> Pointing Time: <ul> <li>Time taken by the arm to complete the forward phase of the pointing gesture (seconds).</li> </ul> </li> <li> Character Position: <ul> <li>Position of the pressed character within the word (spacebar hits are assigned the number 300).</li> </ul> </li> <li> Key Selection Probability: <ul> <li>Probability (percentage) of the key being selected.</li> </ul> </li> </ol> <h3>C. EyeTracking data sorted</h3> Each participant's data is organized into an N×6 cell array, where N represents the number of pointing gestures analyzed through eye-tracking. The contents of each row are as follows: <ol> <li> Fixation Data (Nx5 vector): <ul> <li>N is the number of fixations related to one pointing gesture.</li> <li>Each vector contains: <ul> <li> The standardized time is determined by synchronizing the eye fixation with the arm movement. Given the movement duration is scaled from 0 to 10, we identify the moment when the eye-fixation occurs. This standardized time refers to the duration of the fixation relative to the duration of the pointing gesture. In column 1, we report the gross time, averaging the beginning and end of the fixation. In column 4, we provide the exact standardization at the start, and in column 5, the exact standardization at the end of the movement. During analysis, these times are synchronized with the movement duration, and we use the data from column 4. </li> <li> Euclidean distance between the fixated key and the target key (2nd column). </li> <li>Duration of each fixation (3rd column).</li> </ul> </li> </ul> </li> <li> Sequence of Fixated Keys: <ul> <li>Contains the sequence of keys fixated by the user during each pointing gesture.</li> </ul> </li> <li> Arm Movement Information: <ul> <li>Includes details on the arm movement (same as reported in file A) corresponding to the eye-tracking fixation sequence.</li> </ul> </li> <li> Target Key Pressed: <ul> <li>Indicates the target key pressed by the participant.</li> </ul> </li> <li> Probability of Key Pressed: <ul> <li>Reports the likelihood of each key being pressed, as detailed in file B.</li> </ul> </li> <li> Euclidean Distance Between Consecutive Keys: <ul> <li>Measures the Euclidean distance between two consecutively pressed keys using the keyboard as a reference (refer to the paper text for more details).</li> </ul> </li> </ol>

Fig. 4 in Stopped Dead in Their Tracks: The Impact of Railways on Gopher Tortoise (Gopherus polyphemus) Movement and Behavior

Fig. 4. Principal component analysis (PCA) with 95% confidence ellipses comparing tortoise behavior expressed over a one-hour observation period. Confidence ellipse fills are based on railway familiarity in addition to the control group. Control tortoises fall well outside the multivariate space of tortoises placed in the railway, demonstrating the inability of tortoises to cross railways.

Fig. 2 in Stopped Dead in Their Tracks: The Impact of Railways on Gopher Tortoise (Gopherus polyphemus) Movement and Behavior

Fig. 2. (A) The trench dug underneath the rails and between the railway ties. A game camera faces the entrance/exit on the west side of the railway to photograph Gopher Tortoises passing from one side to the other. (B) A series of pictures of a single Gopher Tortoise moving from the east side of the tracks to the west side.

Fig. 1 in Stopped Dead in Their Tracks: The Impact of Railways on Gopher Tortoise (Gopherus polyphemus) Movement and Behavior

Fig. 1. (A) The 20 m railway plot in which Gopher Tortoises were tested for crossing ability and behavioral differences between Habituated (n ¼ 12) and Naïve (n ¼ 12) railway familiarity. (B) The control plot in which tortoises (n ¼ 12) were tested for crossing ability and behavioral differences solely on the presence of a visual barrier.

Fig. 3 in Stopped Dead in Their Tracks: The Impact of Railways on Gopher Tortoise (Gopherus polyphemus) Movement and Behavior

Fig. 3. (A) Three simulated correlated random walks (CRWs) by a single tortoise (ID: 5233) confined to the coastal strand habitat. Each simulation is a different patterned line with the start point designated by the triangle (m) and the stop points designated by squares (&). Each simulation counted the number of times the tortoise crossed the railway (represented by the thick dotted line). (B) Histogram of the number of expected railway crosses based on 1000 simulated CRWs by a single tortoise (ID: 5233). The observed number of crosses is plotted with the dotted line and is significantly below the expected number of crosses.

The Effect of Self-made Fetal Movement and Position Tracking on Prenatal Attachment and Pregnancy Distress

ClinicalTrials.gov study NCT05313113. IPD Sharing: NO. Countries: 1. Publications: 1.

Leveraging Machine Learning to Effortlessly Track Patient Movement in the Clinic.

ClinicalTrials.gov study NCT04074772. IPD Sharing: NO. Countries: 1. Publications: 1.

Eye Tracking Study on Eye Movement Function and Visual Attention Patterns in Patients With Thyroid-Associated Ophthalmopathy

ClinicalTrials.gov study NCT07381413. IPD Sharing: NO. Countries: 1. Publications: 0.

Use of Eye Movement Tracking to Detect Oculomotor Abnormality in Traumatic Brain Injury Patients

ClinicalTrials.gov study NCT02776462. IPD Sharing: NO. Countries: 1. Publications: 3.

publicNov 2017View details →

Data from: First satellite tracks of South Atlantic sea turtle ‘lost years’: seasonal variation in trans-equatorial movement

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publicJan 2022View details →

Spatiotemporal variation in hatching success and nestling sex ratios track rapid movement of a songbird hybrid zone

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publicNov 2020View details →

Data from - Ecological insights from three decades of animal movement tracking across a changing Arctic

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