Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
30
datasets available to search
ShareScore release 0.9.0
Dataset results
30 results for “foraging movements”
Diurnal timing of nonmigratory movement by birds: the importance of foraging spatial scales
Open the record for dataset details and reuse information.
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
Open the record for dataset details and reuse information.
Data from: What seeds tell us about birds: a multi-year analysis of acorn woodpecker foraging movements
Open the record for dataset details and reuse information.
Data from: Functional attributes of ungulate migration: landscape features facilitate movement and access to forage
Open the record for dataset details and reuse information.
The two oxpecker species reveal the role of movement rates and foraging intensity in species coexistence
Open the record for dataset details and reuse information.
Data from: Moving on with foraging theory: incorporating movement decisions into the functional response of a gregarious shorebird
Open the record for dataset details and reuse information.
Data from: Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior
Detailed information acquired using tracking technology has the potential to provide accurate pictures of the types of movements and behaviors performed by animals. To date, such data have not been widely exploited to provide inferred information about the foraging habitat. We collected data using multiple sensors (GPS, time depth recorders, and accelerometers) from two species of diving seabirds, razorbills (Alca torda, N = 5, from Fair Isle, UK) and common guillemots (Uria aalge, N = 2 from Fair Isle and N = 2 from Colonsay, UK). We used a clustering algorithm to identify pursuit and catching events and the time spent pursuing and catching underwater, which we then used as indicators for inferring prey encounters throughout the water column and responses to changes in prey availability of the areas visited at two levels: individual dives and groups of dives. For each individual dive (N = 661 for guillemots, 6214 for razorbills), we modeled the number of pursuit and catching events, in relation to dive depth, duration, and type of dive performed (benthic vs. pelagic). For groups of dives (N = 58 for guillemots, 156 for razorbills), we modeled the total time spent pursuing and catching in relation to time spent underwater. Razorbills performed only pelagic dives, most likely exploiting prey available at shallow depths as indicated by the vertical distribution of pursuit and catching events. In contrast, guillemots were more flexible in their behavior, switching between benthic and pelagic dives. Capture attempt rates indicated that they were exploiting deep prey aggregations. The study highlights how novel analysis of movement data can give new insights into how animals exploit food patches, offering a unique opportunity to comprehend the behavioral ecology behind different movement patterns and understand how animals might respond to changes in prey distributions.
Data from: How to use (and not to use) movement-based indices for quantifying foraging behavior
1. Movement based indices such as Moves Per Minute (MPM) and Proportion Time Moving (PTM) are common methodologies to quantify foraging behavior. We explore fundamental drawbacks of these indices, question the ways scientists have been using them, and propose new solutions. 2. To do so, we combined analytical and simulation models with lizards foraging data at the individual and species levels. 3. We found that the maximal value of MPM is constrained by the minimal durations of moves and stops. As a result, foragers that rarely move and those that rarely stop are bounded to similar low MPM values. This implies that (a) MPM has very little meaning when used alone, (b) MPM and PTM are interdependent, and (c) certain areas in the MPM-PTM plane cannot be occupied. We also found that MPM suffers from inaccuracy and imprecision. 4. We introduced a new bias correction formula for already published MPM data, and a novel index of Changes Per Minute (CPM) that uses the frequency of changes between move and stop bouts. CPM is very similar to MPM, but does not suffer from bias. Finally, we suggested a new foraging plane of Average Move and Average Stop durations. We hope that our guidelines of how to use (and not to use) movement- based indices will add rigor to the study of animals' foraging behavior.
Data from: Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior
Open the record for dataset details and reuse information.
Data from: How to use (and not to use) movement-based indices for quantifying foraging behavior
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.