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Dataset results
17 results for “Nest Camera”
Raspberry Pi nest cameras – an affordable tool for remote behavioural and conservation monitoring of bird nests
<p><span><span><span><span><span><span><span><span><span><span><span>1. Bespoke (custom-built) Raspberry Pi cameras are increasingly popular research tools in the fields of behavioural ecology and conservation, because of their comparative flexibility in programmable settings, ability to be paired with other sensors, and because they are typically cheaper than commercially built models.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>2. Here we describe a novel, Raspberry Pi-based camera system that is fully portable and yet weatherproof – especially to humidity and salt spray. The camera was paired with a passive infra-red sensor, to create a movement-triggered camera capable of recording videos over a 24-hr period. We describe an example deployment involving "retro-fitting" these cameras into artificial nest boxes on Praia Islet, Azores archipelago, Portugal, to monitor the behaviours and interspecific interactions of two sympatric species of breeding storm-petrel (Monteiro's storm-petrel <i>Hydrobates monteiroi</i> and Madeiran storm-petrel <i>Hydrobates castro</i>) during their chick-rearing periods.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>3. Of the 138 deployments, 70% of all deployments were deemed to be "Successful" (Successful was defined as continuous footage being recorded for more than one hour without an interruption), which equated to 87% of the individual 30 s videos. The bespoke cameras proved to be easily portable between 54 different nests and reasonably weatherproof (~14% of deployments classed as "Partial" or "Failure" deployments were specifically due to the weather/humidity), and we make further trouble-shooting suggestions to mitigate additional weather-related failures.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>4. Here we have shown that this system is fully portable and capable of coping with salt spray and humidity, and consequently the camera-build methods and scripts could be applied easily to many different species that also utilise cavities, burrows, and artificial nests, and can potentially be adapted for other wildlife monitoring situations to provide novel insights into species-specific daily cycles of behaviours and interspecies interactions.</span></span></span></span></span></span></span></span></span></span></span></p>
Raspberry Pi nest cameras – an affordable tool for remote behavioural and conservation monitoring of bird nests
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Camera traps: A novel method to estimate numbers of nesting sea turtles
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Data from: A high-resolution panorama camera system for monitoring colony-wide seabird nesting behaviour
1. Obtaining accurate and representative demographic metrics for animal populations is critical to many aspects of wildlife monitoring and management. However, at remote animal colonies, metrics derived from sequential counts or other continuous monitoring are often subject to logistical, weather and disturbance challenges.The development of remote camera technologies has assisted monitoring, but limitations in spatial and temporal resolution and sample sizes remain. 2. Here we describe the application of a robotic camera system (Gigapan) which takes a tiled sequence of photographs that are automatically stitched together to form high-resolution panoramas. We demonstrate the application of the Gigapan using data collected during field-testing at a shy albatross colony on Albatross Island in northwest Tasmania. 3. We took daily panoramas over five days to estimate mean incubation shift-duration, an indirect measure for foraging trip duration, in an existing study area. Similar numbers of occupied nests could be observed at a distance of ~100m in the Gigapan panoramas compared to ground-based counts (115 and 117 respectively). Of these, birds on 90% of nests visible in the panoramas could be unambiguously identified as marked or unmarked with a small daub of paint throughout the study period and thus a shift change reliably recorded. Gigapan-based shift duration was estimated using a novel instantaneous statistical method and were longer than estimates earlier in the egg brooding period, potentially revealing a new pattern in shift duration. 4. This example field application provides proof-of-concept and demonstration that the relatively low cost Gigapan system provides the spatial advantages of satellite or aerial photos with the detail and temporal replication of land-based camera systems. The Gigapan system can extend or enhance traditional data collection methods, particularly for simultaneous observations, at distance, of the behaviour of many surface nesting colonial seabirds..
Supplementary Information: Video data files: Gray et al. Caught on camera: Ocelot, Leopardus pardalis (Mammalia: Felidae) predation on foam nests of Savage's thin-toed frog, Leptodactylus savagei (Amphibia: Leptodactylidae)
<p>Supplementary Information: Original camera trap footage for Gray, Ibáñez, Barrios & Potvin: Caught on camera: Ocelot, <i>Leopardus pardalis </i>(Mammalia: Felidae) predation on foam nests of Savage's thin-toed frog, <i>Leptodactylus savagei</i> (Amphibia: Leptodactylidae). </p><p> </p>
Supplementary material 5 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of a nest of the Gray-hooded Flycatcher, Mionectes rufiventris, containing two nestlings, being depredated by Three-striped Short-tailed Opossum, Monodelphis americana. Note that the small mammal has climbed the closed nest, found its entrance, and has invaded the interior of the nest. :
Supplementary material 4 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of an Ocelot, Leopardus pardalis, depredating a nest of Gray-hooded Flycatcher, Mionectes rufiventris. The video shows the moment in which a nestling try to leave the nest and is captured in the air by the Ocelot. :
Supplementary material 3 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of a nest of the Blue Manakin, Chiroxiphia caudata, being depredated by The Red-breasted Toucan, Ramphastos dicolorus. The video shows a young in late nestling stage being removed from the nest and being carried away by the toucan. :
Supplementary material 2 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of the Red-breasted Toucan, Ramphastos dicolorus, consuming an egg of the Ruddy Quail-dove, Geotrygon montana. Seven days later, a second egg present in this nest was also consumed by a Red-breasted Toucan. :
Supplementary material 1 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Video of the Collared Forest-falcon, Micrastur semitorquatus, depredating a nest of White-necked Thrush, Turdus albicollis, containing three eggs. In this cloudy day, the infrared LEDs were activated. :
Figure 2 in A treetop diner: camera trapping reveals novel arboreal foraging by fishing cats on colonial nesting birds in Bangladesh
Figure 2: Photo sequence of the arboreal predatory behaviour of the fishing cat captured on camera traps in northeast Bangladesh arranged in a clockwise sequence. (A–F) The first event on 03 August, 2022. (G–L) The second event on 02 October, 2022 (for descriptions see Table 1).
Figure 1 in A treetop diner: camera trapping reveals novel arboreal foraging by fishing cats on colonial nesting birds in Bangladesh
Figure 1: Location of the bird colony where the arboreal predatory behaviour of the fishing cat was captured on camera traps in northeast Bangladesh. (A) Fishing cat range in Bangladesh. (B) Northeast Bangladesh. (C) The Indian Oak/Hijal tree. Red circles denote the placement of the camera traps. The range map in Bangladesh is adapted from Mukherjee et al. (2016).
Figure 1 in Egg predation and vertebrates associated with wild crocodilian nests in Mexico determined using camera-traps
Figure 1. Geographical location of the study areas and photographic records of eggs predation. Procyon lotor (a, e, f), Didelphis virginiana (b), Cuniculus paca (c), Nasua narica (d, g), and Caracara cheriway (h).
Figure 2 in Egg predation and vertebrates associated with wild crocodilian nests in Mexico determined using camera-traps
Figure 2. Non-linear regression models: (a)- Predator species increase with the number of vertebrates recorded in the areas of study. (b)- The number of nests lost decreases as crocodilian size increases.
Data from: A high-resolution panorama camera system for monitoring colony-wide seabird nesting behaviour
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Detecting the presence of nesting nightjar in upland clear-fell using drone-mounted thermal cameras
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Figures 1-4 from: Ribeiro-Silva L, Perrella DF, Biagolini-Jr CH, Zima PVQ, Piratelli AJ, Schlindwein MN, Galetti-Jr PM, Francisco MR (2018) Use of camera traps for detecting nest predation of birds in the Atlantic Forest of Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e14678
Figures 1-4 Predators of bird nests recorded with camera traps in an area of Atlantic rainforest. (1) the Collared Forest-falcon, Micrastur semitorquatus, depredating a nest of the White-necked Thrush, Turdus albicollis. (2) the Red-breasted Toucan, Ramphastos dicolorus, depredating a nest of the Ruddy Quail-dove, Geotrygon montana. (3) the Ocelot, Leopardus pardalis, depredating a nest of the Gray-hooded Flycatcher, Mionectes rufiventris. (4) the Gray Slender Mouse Opossum, Marmosops incanus depredating a nest of the Royal Flycatcher, Onychorhynchus swainsoni.
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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.