Skip to main content
Powered by ShareScore

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 0.9.0

Reset

Dataset results

20 results for “forest owls”

Learn how ShareScore rates datasets ↗
zenodo40/100

Figure 2 in Seasonal changes in Tawny Owl (Strix aluco) diet in an oak forest in Eastern Ukraine

Figure 2. Proportion of prey groups in Tawny Owl pellets in different seasons. Note break of y axis between 10% and 50%. Abbreviations for seasons: WS – Winter–spring, ES – Early summer, LS – Late summer and early autumn, LA – Late autumn.

opencc-by-4.0Apr 2016View details →
dryad40/100

Data from: Tall, heterogenous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California

<p>Predator-prey interactions can be profoundly influenced by vegetation conditions, particularly when predator and prey prefer different habitats. Although such interactions have proven challenging to study for small and cryptic predators, recent methodological advances substantially improve opportunities for understanding how vegetation influences prey acquisition and strengthen conservation planning for this group. The California Spotted Owl (<em>Strix</em> <em>occidentalis</em> <em>occidentalis</em>) is well-known as an old-forest species of conservation concern, but whose primary prey in many regions – woodrats (<em>Neotoma</em> spp.) – occurs in a broad range of vegetation conditions. Here, we used high-resolution GPS tracking coupled with nest video monitoring to test the hypothesis that prey capture rates vary as a function of vegetation structure and heterogeneity, with emergent, reproductive consequences for Spotted Owls in Southern California. Foraging owls were more successful capturing prey, including woodrats, in taller multilayered forests, in areas with higher heterogeneity in vegetation types, and near forest-chaparral edges. Consistent with these findings, Spotted Owls delivered prey items more frequently to nests in territories with greater heterogeneity in vegetation types and delivered prey biomass at a higher rate in territories with more forest-chaparral edge. Spotted Owls had higher reproductive success in territories with higher mean canopy cover, taller trees, and more shrubby vegetation. Collectively, our results provide additional and compelling evidence that a mosaic of large tree forests with complex canopy and shrubby vegetation increases access to prey with potential reproductive benefits to Spotted Owls in landscapes where woodrats are a primary prey item. We suggest that forest management activities that enhance forest structure and vegetation heterogeneity could help curb declining Spotted Owl populations while promoting resilient ecosystems in some regions.</p>

opencc-zeroDec 2022View details →
dryad40/100

Data from: Tall, heterogenous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California

Open the record for dataset details and reuse information.

publicDec 2022View details →
zenodo36/100

Figure 5 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 5. Occlusal view of the lower molars of the Sigmodontine rodents from Tyto furcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil. (A) = Akodon azarae, UFSC-CF 43-2-2, right m1-m2. (B) = Akodon sp., UFSC-CF 32-4-2, right m1-m3; (C) = Bibimys sp., UFSC-CF 32-5-2, right m1-m3. (D) = Calomys sp., UFSC-CF 32-6-2, right m1-m3. (E) = Holochilus sp., UFSC-CF 43-4-2, left m1-m3. (F) = Lundomys molitor, UFSC-CF 32-9-1, left m1-m3. (G) = Nectomys squamipes, UFSC-CF 32-10-1, right m1-m3. (H) = Oligoryzomys sp., UFSC-CF 32-11-2, right m1-m3. (I) = Oxymycterus sp., UFSC-CF 32-12-2, right m1-m3. (J) = Sooretamys angouya, UFSC-CF 32-13-2, left m1-m2. (K) = Wilfredomys oenax, UFSC-CF 32-14-2, left m1-m3. Scale bars: H = 200 µm; A, B, C, D, G, I, J, K = 500 µm; E, F = 1 mm.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 4 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 4. Occlusal view of the upper molars of the Sigmodontine rodents from the Tyto furcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil. (A) = Akodon azarae, UFSC-CF 43-2-1, left M1-M3. (B) = Akodon sp., UFSC-CF 32-4-1, left M1-M3. (C) = Bibimys sp., UFSC-CF 32-5-1, left M1-M3. (D) = Calomys sp., UFSC-CF 32-6-1, left M1-M3. (E) = Juliomys sp., UFSC-CF 32-7-1, left M1-M3. (F) = Holochilus sp., UFSC-CF 43-4-1, left M1-M3. (G) = Oligoryzomys sp., UFSC-CF 32-11-1, left M1-M3. (H) = Oxymycterus sp., UFSC-CF 32-12-1, left M1-M3. (I) = Sooretamys angouya, UFSC-CF 32-13-1, right M1-M3. (J) = Wilfredomys oenax, UFSC-CF 32-14-1, left M1-M3. Scale bars: C = 200 µm; A, B, D, E, F, G, H, I, J = 500 µm.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 1 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 1. Location of the sampling sites of the Tyto furcata pellets at the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Southern Brazil. BV1 = Boa Vista I; BV2 = Boa Vista II; BOQ = Boqueirão; CGA = Canta Galo; EV1 = Evaristo I; EV2 = Evaristo II; ANT = Picada das Antas; PF1 = Picada Feliz I; PF2 = Picada Feliz II; QV1 = Quevedos I; QV2 = Quevedos II; RES = Reserva. Map modified from MMA (1992).

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 3 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 3. Chiroptera specimens from the Tyto furcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil. (A) = ventral view of the skull of Sturnira lilium, UFSC-CF 40-5-1. (B) = labial view of the right dentary of Tadarida brasiliensis, UFSC-CF 42-11-1. Scale bars: 1 mm.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 2 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 2. Didelphimorphia specimens from the Tyto furcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil. (A) = labial view of the left dentary of Cryptonanus guahybae, UFSC-CF 32-2-1. (B) = labial view of the right dentary of Gracilinanus microtarsus, UFSC-CF 42-10-1. Scale bars: 1 mm.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 6 in Small mammal diversity in Semi-deciduous Seasonal Forest of the southernmost Brazilian Pampa: the importance of owl pellets for rapid inventories in human-changing ecosystems

Figure 6. Occlusal view of the upper and lower molars of the Muridae and Caviidae rodents fromTytofurcata pellets from the Municipality of São Lourenço do Sul, State of Rio Grande do Sul, Brazil.(A) = Mus musculus, UFSC-CF 32-15-1, left M1-M3. (B) = Rattus rattus, UFSC-CF 35-9-1, right M1-M3. (C) = Cavia aperea, UFSC-CF 43-8-1, left P4-M3. (D) = M. musculus, UFSC-CF 32-15-2, right m1-m3. (E) = R. rattus, UFSC-CF 35-9-2, right m1-m3. (F) = C. aperea, UFSC-CF 43-8-2, right p4-m3. Scale bars A, D = 200 µm; B, C, E, F = 1 mm.

opencc-by-nc-4.0Jun 2020View details →
dryad36/100

Data from: Large trees and forest heterogeneity facilitate prey capture by California spotted owls

<p>Predators are among the most threatened animal groups globally, with prey declines contributing to their endangerment. However, assessments of the habitat conditions that influence the successful capture of different prey species are rare, especially for small, cryptic predators. Accordingly, most predator conservation plans are based on the relative importance of habitats inferred from coarse-scale <a name="_Hlk99628060"></a>studies that do not consider habitat features contributing to hunting success, which can vary among prey species. To address this limitation, we integrated high-resolution GPS tracking and nest video monitoring to characterize habitat features at prey capture locations during the nestling provisioning stage for the Spotted Owl (<em>Strix occidentalis</em>) a small, cryptic predator that has been at the center of a decades-long forest management conflict in western North America. When all prey species were considered collectively, males provisioning nests tended to capture prey: (<em>i</em>) in areas with more large-tree forest, (<em>ii</em>) in areas with more medium trees/medium canopy forest, and (<em>iii</em>) at edges between conifer and hardwood forests. However, when we considered the owl's two key prey species separately, males captured woodrats (<em>Neotoma fuscipes</em>) and Humboldt flying squirrels (<em>Glaucomys oregonensis</em>) in areas with markedly different habitat features. Our study provides clarity for forest management in mixed-ownership landscapes because different prey species achieve high densities in different habitat types. Specifically, our results suggest that promoting large trees, increasing forest heterogeneity, and creating canopy gaps in forests with medium trees/high canopy cover could benefit Spotted Owls and their prey, which has the ancillary benefit of enhancing forest resilience. Combining high-resolution GPS tagging with video-based information on prey deliveries to breeding sites can strengthen conservation planning for small predators by more rigorously defining those habitat features that are associated with successful prey acquisition.</p>

opencc-zeroJul 2022View details →
zenodo36/100

Figure 1 in Seasonal changes in Tawny Owl (Strix aluco) diet in an oak forest in Eastern Ukraine

Figure 1. Location of the study area with indication of pellet collection points.

opencc-by-4.0Apr 2016View details →
dryad36/100

Data from: Large trees and forest heterogeneity facilitate prey capture by California spotted owls

Open the record for dataset details and reuse information.

publicJul 2022View details →
dryad36/100

Frequent, heterogenous fire supports a forest owl assemblage

Open the record for dataset details and reuse information.

publicDec 2024View details →
dryad32/100

Data for: Differential landscape use by forest owls two years after a mixed-severity wildfire

<p><span>Owls are important avian predators in forested systems, but little is known about landscape use by most forest-adapted owl species in environments impacted by mixed-severity wildfire. To better understand species-specific patterns of post-wildfire landscape use within an owl guild we used passive acoustic monitoring using autonomous recording units. The technology is effective for multi-species surveys, especially if some species are rare, nocturnal, or difficult to detect by traditional means. In 2017 we surveyed the interior and adjacent unburned areas of a 10,700 ha mixed-severity wildfire that burned in 2015 in southwest Oregon. We used occupancy modeling to identify patterns of landscape use by five species of forest owls: barred owls (<em>Strix varia</em>), great horned owls (<em>Bubo virginianus</em>), western screech-owls (<em>Megascops kennicottii</em>), northern pygmy-owls (<em>Glaucidium californicum</em>), and northern saw-whet owls (<em>Aegolius acadicus</em>). Our results showed a positive relationship between increasing fire severity and probability of use by western screech-owls and a similar but somewhat weaker relationship for northern pygmy-owls. Barred owls were rarely detected in severely burned areas and their use decreased with increased fire severity. We observed generally low landscape use for great horned owls, which decreased with increased fire severity and at higher elevations. Thus, four out of the five species appeared to use recently burned forests at different levels, with only northern saw-whet owls showing near-complete avoidance of the burned area. These findings increase our understanding of the basic ecology of each species and highlight the varied use of burned areas within this community. These previously undocumented patterns of landscape use in burned landscapes should provide insights to managers and policymakers in the Pacific Northwest as climate shifts, and fires may increase in size, frequency, and severity. </span></p>

opencc-zeroMar 2022View details →
zenodo32/100

Distribution. Recorded from SE Guinea and SW Ivory Coast; there also are records from owl pellets from Nigeria, although these are questionable, and a possible record from Mamang River Forest Reserve in Ghana. in Soricidae

Distribution. Recorded from SE Guinea and SW Ivory Coast; there also are records from owl pellets from Nigeria, although these are questionable, and a possible record from Mamang River Forest Reserve in Ghana.

opennotspecifiedJul 2018View details →
dryad32/100

Data for: Differential landscape use by forest owls two years after a mixed-severity wildfire

Open the record for dataset details and reuse information.

publicMar 2022View details →
dryad32/100

Environmental conditions and call-broadcast influence detection of eastern forest owls during standardized surveys

Open the record for dataset details and reuse information.

publicFeb 2021View details →
dryad28/100

Social status, forest disturbance, and Barred Owls shape long-term trends in breeding dispersal distance of Northern Spotted Owls

<p>Dispersal among breeding sites in territorial animals (i.e. breeding dispersal) is driven by numerous selection pressures, including competition and spatiotemporal variation in habitat quality. The scale and trend of dispersal movements over time may signal changing conditions within the population or on the landscape. We examined 2,158 breeding dispersal events from 694 male and 608 female individually-marked Northern Spotted Owls (<i>Strix occidentalis caurina</i>) monitored over 28 years on seven study areas to assess the relative importance of individual (sex, experience), reproductive (annual productivity, mate availability), and environmental (forest alteration, presence of competitor) sources of variation in breeding dispersal distance. Median breeding dispersal distance was 3.17 km, with 99% of all breeding dispersal events less than 37 km. Mean annual dispersal distances increased by 2.43 km in Oregon and 9.40 km in Washington between 1990 and 2017, which coincided with increases in annual detections of non-native Barred Owl (<i>S. varia</i>). Frequency of breeding dispersal events, both among and within individuals, also increased over time. Female owls moved farther than males (median of 3.26 km and 3.10 km respectively), and birds with less experience (territory tenure) moved farther than those with more experience. Owls that were single in the year prior to dispersal moved 13–31% farther than those paired prior to dispersal. The greatest environmental change occurring over the course of our study was the expansion of Barred Owl populations. Breeding dispersal distance was positively related to Barred Owls in the study area and disturbance within the originating territory. While it appears that social factors continue to be important drivers of breeding dispersal distance in Spotted Owls, increased competition from Barred Owls and habitat alteration have a contributing effect. Increased breeding dispersal distances should be of concern for conservation efforts and considered in population monitoring because changing dispersal behavior may lead to higher rates of mortality and/or emigration from historic study areas.</p>

opencc-zeroOct 2020View details →
dryad28/100

Social status, forest disturbance, and Barred Owls shape long-term trends in breeding dispersal distance of Northern Spotted Owls

Open the record for dataset details and reuse information.

publicOct 2020View details →
dryad28/100

Data from: Passive acoustic monitoring effectively detects Northern Spotted Owls and Barred Owls over a range of forest conditions

Open the record for dataset details and reuse information.

publicMar 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record