Find research datasets worth reusing

opencc-byNov 2021View details →

Low-poly Animated Nordic Chest

A Nordic inspired animated low-poly chest. This chest was probably made by vikings, what could be inside? Source: Objaverse 1.0 / Sketchfab

opencc-by-sa-2.5Oct 2017View details →

Candle Light Animated

Candle used inside my Pumpkins with the Animated Flame -- Sketchfab doesn't quite have the correct emission shader which cast the light, but if you import into your 3D SW you should be able to get better FX. Enjoy -- this 1 is on the house for #FREE ;] Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Oct 2023View details →

Animations of the evolution of misfits

Supplement animations of the misfit for 'Numerical stabilization methods for level-set-based ice front migration'

opencc-zeroJan 2024View details →

Data from: Exploring deep learning techniques for wild animal behaviour classification using animal-borne accelerometers

1: Machine learning-based behaviour classification using acceleration data is a powerful tool in bio-logging research. Deep learning architectures such as convolutional neural networks (CNN), long short-term memory (LSTM), and self-attention mechanism as well as related training techniques have been extensively studied in human activity recognition. However, they have rarely been used in wild animal studies. The main challenges of acceleration-based wild animal behaviour classification include data shortages, class imbalance problems, various types of noise in data due to differences in individual behaviour and where the loggers were attached, and complexity in data due to complex animal-specific behaviours, which may have limited the application of deep learning techniques in this area. 2: To overcome these challenges, we explored the effectiveness of techniques for efficient model training: data augmentation, manifold mixup, and pre-training of deep learning models with unlabelled data, using datasets from two species of wild seabirds and state-of-the-art deep learning model architectures. 3: Data augmentation improved the overall model performance when one of various techniques (none, scaling, jittering, permutation, time-warping, and rotation) was randomly applied to each data during mini-batch training. Manifold mixup also improved model performance, but not as much as random data augmentation. Pre-training with unlabelled data did not improve model performance. The state-of-the-art deep learning models, including a model consisting of four CNN layers, an LSTM layer, and a multi-head attention layer, as well as its modified version with shortcut connection, showed better performance among other comparative models. Using only raw acceleration data as inputs, these models outperformed classic machine learning approaches that used 119 handcrafted features. 4: Our experiments showed that deep learning techniques are promising for acceleration-based behaviour classification of wild animals and highlighted some challenges (e.g. effective use of unlabelled data). There is scope for greater exploration of deep learning techniques in wild animal studies (e.g. advanced data augmentation, multimodal sensor data use, transfer learning, and self-supervised learning). We hope that this study will stimulate the development of deep learning techniques for wild animal behaviour classification using time-series sensor data. This abstract is cited from the original article "Exploring deep learning techniques for wild animal behaviour classification using animal-borne accelerometers" in Methods in Ecology and Evolution (Otsuka et al., 2024). Please see README for the details of the datasets.

opencc-zeroFeb 2024View details →

Behavioural ecology meets oncology: quantifying the recovery of animal behaviour to a transient exposure to a cancer risk factor

Wildlife is increasingly exposed to sublethal transient cancer risk factors, including mutagenic substances, which activate their anti-cancer defences, promote tumourigenesis, and may negatively impact populations. Little is known about how exposure to cancer risk factors impacts the behaviour of wildlife. Here, we investigated the effects of a sublethal, short-term exposure to a carcinogen at environmentally relevant concentrations on the activity patterns of wild Girardia tigrina planaria during a two-phase experiment, consisting of a 7-day exposure to cadmium period followed by a 7-day recovery period. To comprehensively explore the effects of the exposure on activity patterns, we employed the double hierarchical generalized linear model framework which explicitly models residual intraindividual variability in addition to the mean and variance of the population. We found that exposed planaria were less active compared to unexposed individuals and were able to recover to pre-exposure activity levels albeit with a reduced variance in activity at the start of the recovery phase. Planaria showing high activity levels were less predictable with larger daily activity variations and higher residual variance. Thus, the shift in behavioural variability induced by an exposure to a cancer risk factor can be quantified using advanced tools from the field of behavioural ecology. This is required to understand how tumourous processes affect the ecology of species.

opencc-zeroFeb 2024View details →

Dataset of how animal movement paths in a landscape vary due to wildfire

Animals navigate landscapes based on perceived risks vs. rewards, as inferred from features of the landscape. In the wild, knowing how strongly animal movement is directed by landscape features is difficult to ascertain, but widespread disturbances such as wildfires can serve as natural experiments. We tested the hypothesis that wildfires homogenize the risk/reward landscape, causing movement to become less directed, given that fires reduce landscape complexity as habitat structures (e.g., tree cover, dense brush) are burned. We used satellite imagery of a research reserve in Northern California to count and categorize paths made primarily by mule deer (Odocoileus hemionus) in grasslands. Specifically, we compared pre-wildfire (August 2014) and post-wildfire (September 2018) image history layers among locations that were or were not impacted by wildfire (i.e., a Before/After Control/Impact design). Wildfire significantly altered spatial patterns of deer movement: more new paths were gained and more old paths were lost in areas of the reserve that were impacted by wildfire; movement patterns became less directed in response to fire, suggesting that the risk/reward landscape became more homogenous, as hypothesized. We found evidence to suggest that wildfire affects deer populations at spatial scales beyond their scale of direct impact and raises the interesting possibility that deer perceive risks and rewards at different spatial scales. In conclusion, our study provides an example of how animals integrate spatial information from the environment to make movement decisions, setting the stage for future work on the broader ecological implications for populations, communities, and ecosystems, an emerging interest in ecology.

opencc-zeroFeb 2024View details →

Recent tree diversity increase in NE Iberian forests following intense management release: a task for animal-dispersed and drought tolerant species

<ol> <li>Under increasing human-related threats to forests, many studies suggest that increasing tree species diversity may boost forest resilience by enhancing the range of species' responses to disturbances. However, it remains unclear whether passive or active forest management strategies should be applied to increase tree diversity. This issue would benefit from investigating which management and environmental factors, together with species' functional traits influence temporal changes in tree species diversity.</li> <li>We explored the influence of the bioclimatic region, land-use history, forest cover, protection, management, forest structure and changes in temperature and precipitation, to explain tree species diversity changes in NE Iberian forests, by comparing 3141 plots from the Spanish National Forest Inventory sampled between 1989 and 2016. Moreover, we assessed which species' functional traits (dispersal habit, drought and shade tolerance) were most relevant for diversity changes.</li> <li>After 27 years, tree species richness and diversity moderately increased in the tree and regeneration layers. This trend occurred mostly in long-established, non-recently managed forests and in those with a lower initial basal area. Increasing temperature had negative effects for diversity increase in the tree layer but positive for the regeneration compartment, while decreasing precipitation showed the opposite effects.</li> <li>Tree species with higher drought tolerance, and especially those animal-dispersed ones arriving from the regional pool, mostly contributed to the local diversity increase. This pattern occurred in all forest types, although the taxonomic array of species varied.</li> <li> Synthesis and applications. The main drivers influencing the passive increase in tree species diversity suggest a primary role of diminishing forest exploitation in this recovery process, fine-tuned by climatic changes. This ecological scenario has particularly favored animal-dispersed tree species with higher drought tolerance, which mostly led the diversity increase. A higher presence of such highly mobile and drought-tolerant species can be crucial to increase functional diversity and, ultimately, increase forest resilience under future scenarios of greater aridity. In light of these results, management strategies should continue fostering the restoration of diversity in once intensively exploited forests while ensuring the maintenance of the already gained tree species diversity.</li> </ol>

opencc-zeroMar 2024View details →

Data from: Solar energy-driven land cover change could alter landscapes critical to animal movement in the continental United States

The United States may produce as much as 45% of its electricity using solar energy technology by 2050, which could require more than 40,000 km2 of land to be converted to large-scale solar energy production facilities. Little is known about how such development may impact animal movement. Here, we use five spatially-explicit projections of solar energy development through 2050 to assess the extent to which ground-mounted photovoltaic solar energy expansion in the continental United States may impact land cover and alter areas important for animal movement. Our results suggest that there could be a substantial overlap between solar energy development and land important for animal movement: across projections, 7-17% of total development is expected to occur on land with high value for movement between large protected areas, while 27-33% of total development is expected to occur on land with high value for climate-change-induced migration. We also found substantial variation in the potential overlap of development and land important for movement at the state level. Solar energy development, and the policies that shape it, may align goals for biodiversity and climate change by incorporating the preservation of animal movement as a consideration in the planning process.

opencc-zeroMar 2024View details →

The characteristics, motivations, and experiences of foster caregivers at animal shelters

Foster care programs at animal shelters have emerged as an important tool for promoting animal welfare and supporting shelter life-saving efforts. Preliminary evidence suggests that foster caregiving may also be health-promoting for humans. The goals of this study were to investigate the experiences of foster caregivers at animal shelters based on measures of positive and negative affect, quality of life, and grief, and to describe human-animal attachment among foster populations. Between March 2022 and 2023, 131 foster caregivers from five shelters in the United States completed three online surveys before, during and after providing foster care to a shelter animal. Positive affect decreased significantly from baseline to post-foster (F=5.71, p<0.01), particularly among dog caregivers (F=6.17, p<0.01). Negative affect remained unchanged (F=0.47, p=0.63). Foster caregivers perceived their foster animal provided companionship, affection and emotional support, although dog foster caregivers reported significantly higher emotional (U=313.50, p<0.01) and social/physical quality of life (t=4.42, p<0.01) than cat foster caregivers. Caregivers reported low mean avoidant and anxious attachment, suggesting they were able to develop secure bonds with their foster animals. Retention of fosters was also strong, with 86% of caregivers reporting they were likely to provide foster care in the future. Our findings suggest that fostering at animal shelters may serve as a One Health intervention to offer companionship, affection and emotional support to human caregivers while promoting animal welfare. However, these benefits did not translate to improvements in caregiver mental wellbeing, so caution should be applied when considering foster caregiving as a potential mental health promotion tool.

Figure 7 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 7. Onchidium typhae on the wooden hole of mangrove.

Figure 9. Omobranchus zebra, a in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 9. Omobranchus zebra, a blennid fish.

Figure 6 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 6. Europila withersi on the leaf of mangroves.

Figure 4 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 4. Coenobita cavipes climbing on Exocearia aggolacha, mangrove.

Figure 5 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 5. Balanus amhritrite and Nerita articulata on the mangrove.

Figure 2 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 2. Mangrove area of Subarnarekha estuary at Bichitrapur.

Figure 1 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study

Figure 1. Satellite Map showing the mangrove area of Bichitrapur (Courtsey: Google earth.com).

opencc-zeroApr 2024View details →

HawkEar: A bird-borne visual and acoustic platform for eavesdropping the behavior of mobile animals

UAVs (drones) offer mobile platforms for ecological investigation, but can be impractical in some environments and the resulting noise can disturb wildlife. We developed a mobile alternative using a bird-borne platform to record the behavior of other animals in the field. This unit consists of a lightweight audio and video sensor that is carried by a trained Harris's hawk Parabuteo unicinctus. We tested the hypothesis that our bird-borne platform is a viable option for collecting behavioral data from mobile animals. We recorded acoustic and video data as the hawk flew through a dense group of Brazilian free-tailed bats Tadarida brasiliensis emerging from a cave, with a test case of investigating how echolocation calls changes depending on spatial position in the bat group. The HawkEar platform is an alternative for collecting behavioral data when a mobile platform that is less noisy and restrictive than traditional UAVs is needed. The design and software are open source and can be modified to accommodate additional sensor needs.

opencc-by-4.0Apr 2024View details →

Internet_Animal_Video_Dataset

Anonymized dataset repository for our study entitled "Millions of pet videos deepen our understanding of human-cat interactions with implications for management." All the .csv files are encoded with UTF-8.   CommentData_{category}.csv includes:  Video_pub_time: Publishing time of the video; Video_id: The unique ID assigned to the video; Video_tag: The tags of the video; Video_play: The Play count of the video; Video_favor: The Favor count (another popularity metric) of the video; Video_duration: The duration of the video; Comment_text: The raw comment texts; Comment_emoji: The emoji used in the comment; Comment_like: The count of likes the comment received; Comment_gender: The self-selected gender of the commenter.    VideoTagData_category.csv includes: Video_pub_time: Publishing time of the video; Video_id: The unique ID assigned to the video; Video_tag: The tags of the video; Video_play: The Play count of the video; Video_favor: The Favor count (another popularity metric) of the video; Video_duration: The duration of the video;

opencc-zeroApr 2024View details →

Animations of vibration modes obtained from finite element simulations performed on the skull of a juvenile gray whale

The tympanoperiotic complex (TPC) plays a crucial role in whale hearing. It is a functional unit composed of three bony structures: the periotic (firmly embedded in the skull), the tympanic bulla (suspended from the skull on flexible suspensory pedicles), and the ossicular chain that connects the stapes footplate closing the oval window in the periotic with the tympanic [Mead 2009]. Hearing of mysticetes is ostensibly facilitated by the same mechanism as in most mammals: the ossicular chain is set in motion, and the stapes footplate consequently pushes on the cochlear fluid [Cranford 2018]. The ossicular chain connects the periotic bone, which houses the inner ear, with the bulla. Therefore, the most plausible mechanism for setting the ossicles in motion is a vibration of the bulla relative to the periotic bone. A juvenile gray whale head (LACM 97758) was acquired from the Natural History Museum of Los Angeles County. The specimen had been collected and transferred to a freezer soon after death, thereby preserving its fresh condition. The specimen underwent X-ray computed tomography (CT) scanning in two phases, first intact with all tissues and subsequently after removal of soft tissues superficial to the skull, as described by Cranford [in preparation].