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.
20
datasets available to search
ShareScore release 0.7.1
Dataset results
20 results for “road ecology”
Figure 11 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 11. Temporal distribution of moults of adult Acanthoscurria suina under laboratory conditions.
Figure 5 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 5. Temporal distribution of beetles and tarantulas captured by pit-fall traps during summer 1998–1999.
Figure 8 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 8. Temporal distribution of males, females and juveniles of Acanthoscurria suina collected in pit-fall traps.
Figure 4 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 4. Schematic representation of burrows of Acanthoscurria suina and Eupalaestrus weijenberghi; ch, chamber; tt, terminal tube (see text).
Figure 1 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 1. Map of Uruguay with the routes and roads surveyed in the study, showing the distribution of Eupalaestrus weijenberghi (triangles), and the five sites where density studies were performed (stars). Each triangle represents the occurrence of one or more individuals of the species.
Figure 10 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 10. Temporal distribution of moults of adult Eupalaestrus weijeberghi under laboratory conditions.
Figure 9 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 9. Temperature, atmospheric pressure, relative humidity and rainfall during the trap capture period in the two sites studied (Melilla and Carrasco).
Figure 7 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 7. Temporal distribution of males, females and juveniles of Eupalaestrus weijenberghi collected in pit-fall traps.
Figure 12 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 12. Defensive threat display of a male Acanthoscurria suina (photograph: Marcelo Casacuberta).
Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology
<p>Animal behavior is shaped by the ability to identify risks and profitably balance the levels of risks encountered with the payoffs experienced. Anthropogenic disturbances like roads generate novel risks and opportunities that wildlife must accurately perceive and respond to. Basic concepts in predator-prey ecology are often used to understand responses of animals to roads (e.g., increased vigilance, selection for cover in their vicinity). However, prey often display complex behaviors such as modulating space use given varying risks and rewards, and it is unclear if such dynamic balancing is used by animals in the context of road crossings.</p> <p>We tested whether animals dynamically balance risks and rewards relative to roads using extensive field -based and GPS collar data from elk in Yoho National Park (British Columbia, Canada) where a major highway completely bisects their range during most of the year.</p> <p>We analyzed elk behavior by combining hidden Markov movement models with a step-selection function framework. Rewards were indexed by a dynamic map of available forage biomass and risks were indexed by road crossings and traffic volumes.</p> <p>We found that elk generally selected intermediate and high forage biomass and avoided crossing the road. Most of the time, elk modulated their behavior given varying risks and rewards. When crossing the highway compared with not crossing, elk selected for greater forage biomass and this selection was stronger as the number of highway crossings increased. However, with traffic volume, elk only balanced foraging rewards when they crossed a single time during a travel sequence.</p> <p>Using a road ecology system, we empirically tested an important component of predator-prey ecology – the ability to dynamically modulate behavior in response to varying levels of risks and rewards. Such a test articulates how decision-making processes that consider the spatiotemporal variation in risks and rewards allow animals to successfully and profitably navigate busy roads. Applying well-developed concepts in predator-prey theory helps understand how animals respond to anthropogenic disturbances and anticipate the adaptive capacity for individuals and populations to adjust to rapidly changing environments.</p>
Data from: Dynamic balancing of risks and rewards in a large herbivore: Further extending predator-prey concepts to road ecology
Open the record for dataset details and reuse information.
Figure 3 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 3. Distribution of the beetle Diloboderus abderus in the surveyed areas.
Figure 6 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 6. Temporal distribution of tarantulas captured by pit-fall traps.
Figure 2 in Ecology and behaviour of the 'road tarantulas' Eupalaestrus weijenberghi and Acanthoscurria suina (Araneae, Theraphosidae) from Uruguay
Figure 2. Geographical distribution of Acanthoscurria suina in the surveyed areas of Uruguay.
A systematic review of global road ecology camera trap studies that monitored animals' use of wildlife crossings in road-fragmented landscapes
<p>Much research has emphasised the importance of incorporating wildlife crossing-structures in the design of road networks to facilitate connectivity of wildlife crossings in road-fragmented landscapes. Although camera traps have been effective in monitoring wildlife crossing structures, limited studies explore camera trap protocol to monitor wildlife use of crossing structures, particularly in Africa. Our study reviewed and assessed camera trap peer-reviewed research that monitored the use of crossing-structures by wildlife to navigate landscapes fragmented by roads. We found 70 camera trap peer-reviewed publications from 2001 to 2022 that monitored wildlife use of crossing-structures in landscapes intersected by roads, and these were from 22 countries and six continents. The included peer-reviewed studies varied significantly globally, with geographical trends indicating that most studies were conducted in North America. However, the methods used varied considerably between studies, especially in terms of camera trap placement protocol (placement height of camera trap, survey length, and camera multi-shot settings). This showed that camera trap usage for monitoring animal use of crossing structures is still an emerging area of research, and there is a potential for developing a standardised protocol for each type of crossing structure design and size. Future camera trap studies exploring wildlife use of crossing-structures should consider monitoring existing crossing structures (culverts, bridges, and tunnels) as this provides a less costly method of restoring landscape connectivity. We recommend that further research develop a standardised camera trap protocol for monitoring wildlife using crossing-structures to reduce the threats to biodiversity.</p>
Supplementary material 1 from: Fernandes N, Ferreira EM, Pita R, Mira A, Santos SM (2022) The effect of habitat reduction by roads on space use and movement patterns of an endangered species, the Cabrera vole Microtus cabrerae. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 177-196. https://doi.org/10.3897/natureconservation.47.71864
The effect of habitat encroachment by roads on space use and movement patterns of an endangered vole
A systematic review of global road ecology camera trap studies that monitored animals’ use of wildlife crossings in road-fragmented landscapes
Open the record for dataset details and reuse information.
Supplementary material 1 from: Conan A, Fleitz J, Garnier L, Le Brishoual M, Handrich Y, Jumeau J (2022) Effectiveness of wire netting fences to prevent animal access to road infrastructures: an experimental study on small mammals and amphibians. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 271-281. https://doi.org/10.3897/natureconservation.47.71472
Supplementary materials and methods
Supplementary material 1 from: Ferreira EM, Valerio F, Medinas D, Fernandes N, Craveiro J, Costa P, Silva JP, Carrapato C, Mira A, Santos SM (2022) Assessing behaviour states of a forest carnivore in a road-dominated landscape using Hidden Markov Models. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 155-175. https://doi.org/10.3897/natureconservation.47.72781
Figures S1–S3
Data from: Nature, extent and ecological implications of night-time light from road vehicles
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.