Find research datasets worth reusing

opencc-by-4.0Sep 2019View details →

Fig. 1 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species

Fig. 1. Phylogenetic position of D. lindholmi and L. a. exigua, Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.

opencc-by-4.0Sep 2015View details →

Fig. 1 in Toponyms And Ethnonyms In The Names Of Rovno Amber Animals And Plants

Fig. 1. Liverworts (1) and insects (2–7) from Rovno amber collection of SIZK (table 1, 2): 1— Frullania ucrainica, holotype; 2 — Eohelea gedanica, male and female; 3 — Xenohimatium rovnense, holotype; 4 — Rovnoecus klesovicus, holotype; 5 — Leptoconops rovnensis, holotype; 6 — Bilobomyrma ukrainica, holotype; 7— Gnamptogenys europaea, neotype.

opencc-zeroApr 2022View details →

Dataset of habitat quality does not predict animal population abundance on frequently disturbed landscapes

The data presented here are related to the research article entitled "Habitat quality does not predict animal population abundance on frequently disturbed landscapes". Using an individual-based model, we simulated movement of theoretical individuals in a dynamically disturbed landscape and quantified the error of predicting population spatial relative abundance using an habitat model. This dataset provides the Earth Mover's Distance (EMD) as prediction error measure obtained in simulations with varying individual step length and disturbance frequency.

Fig. 1 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)

Fig. 1. Spatial distribution of ignitions in 2010–2014 on studied area (dotted line is ATO zone's limits in 1.06– 30.09.2014).

Fig. 5 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)

Fig. 5. Distribution of two snake species, H. caspius and E. dione, in Ukrainian East (ATO zone is indicated by dotted line, burnt area marked inside zone).

Fig. 3 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)

Fig. 3. Spatial local distribution of ignitions in 2010–2014 in the outskirts of Slavyanoserbsk, Luhansk Region.

Fig. 1 in A Pasture Of Big Ungulate Animals As Key Ecological Factor Influencing On The Fluctuation Of Natural Habitat Of Steppe Herbivorous Mammals

Fig. 1. The steppe marmot quantity dynamics in the 20th century (cattle against the steppe marmot) of the Chertkovskiy Region of Rostov.

openother-openApr 2022View details →

Code and data for: Manipulating actions: a selective two-option device for cognitive experiments in wild animals

Code and data for recreating survival analyses in 'Manipulating actions: a selective two-option device for cognitive experiments in wild animals'

Data from: eDNA metabarcoding of log hollow sediments and soils highlights the importance of substrate type, frequency of sampling and animal size, for vertebrate species detection

Fauna monitoring often relies on visual monitoring techniques such as camera trappings, which have biases leading to underestimates of vertebrate species diversity. Environmental DNA (eDNA) has emerged as a new source of biodiversity data that may improve biomonitoring; however, eDNA based assessments of species richness remain relatively untested in terrestrial environments. We investigated the suitability of fallen log hollow sediment as a source of vertebrate eDNA, across two sites in south-western Australia - one with a Mediterranean climate and the other semi-arid. We compared two different approaches (camera trapping and eDNA metabarcoding) for monitoring of vertebrate species, and investigated the effect of other factors (frequency of species, timing of visits, frequency of sampling, body size) on vertebrate species detectability. Metabarcoding of hollow sediments resulted in the detection of higher species richness in comparison Hollow sediment detected higher species richness (29 taxa: six birds, three reptiles and 20 mammals) to metabarcoding of soil at the entrance of the hollow (13 taxa: three birds, two reptiles and eight mammals). We detected 31 taxa in total with eDNA metabarcoding and 47 with camera traps, with 14 taxa detected by both (12 mammals and two birds). By comparing camera trap data with eDNA read abundance, we were able to detect vertebrates through eDNA metabarcoding that had visited the area up to two months prior to sample collection. Larger animals were more likely to be detected, and so were vertebrates that were identified multiple times in the camera traps. These findings demonstrate the importance of substrate selection, frequency of sampling, and animal size, on eDNA based monitoring. Future eDNA experimental design should consider all these factors as they affect detection of target taxa.

A comparison of density estimation methods for monitoring marked and unmarked animal populations

These data were generated to compare different methods of estimating population density from marked and unmarked animal populations. We compare conventional live trapping with two more modern, non-invasive field methods of population estimation: genetic fingerprinting from hair-tube sampling and camera trapping for the European pine marten (Martes martes). We used arrays of camera traps, live traps, and hair tubes to collect the relevant data in the Ring of Gullion in Northern Ireland. We apply marked spatial capture-recapture models to the genetic and live trapping data where individuals were identifiable, and unmarked spatial capture-recapture (uSCR), distance sampling (CT-DS), and random encounter models (REM) to the camera trap data where individual ID was not possible. All five approaches produced plausible and relatively consistent point estimates (0.41 – 0.99 animals per km2), despite differences in precision, cost, and effort being apparent. In addition to the data, we provide novel code for running unmarked spatial capture-recapture (uSCR) and random encounter models (REM) to the camera trap data where individual ID was not possible.

Data from: A hierarchical model for jointly assessing ecological and anthropogenic impacts on animal demography

1. The management of sustainable harvest of animal populations is of great ecological and conservation importance. Development of formal quantitative tools to estimate and mitigate the impacts of harvest on animal populations has positively impacted conservation efforts. 2. The vast majority of existing harvest models, however, do not simultaneously estimate ecological and harvest impacts on demographic parameters and population trends. Given that the impacts of ecological drivers are often equal to or greater than the effects of harvest, and can covary with harvest, this disconnect has the potential to lead to flawed inference. 3. In this study, we used Bayesian hierarchical models and a 43-year capture-mark-recovery dataset from 404,241 female mallards (Anas platyrhynchos) released in the North American midcontinent to estimate mallard demographic parameters. Further, we model the dynamics of waterfowl hunters and habitat, and the direct and indirect effects of anthropogenic and ecological processes on mallard demographic parameters. 4. We demonstrate that density-dependence, habitat conditions, and harvest can simultaneously impact demographic parameters of female mallards, and discuss implications for existing and future harvest management models. 5. Our results demonstrate the importance of controlling for multicollinearity among demographic drivers in harvest management models, and provide evidence for multiple mechanisms that lead to partial compensation of mallard harvest. We provide a novel model structure to assess these relationships that may allow for improved inference and prediction in future iterations of harvest management models across taxa.

Data from: Forest degradation limits the complementarity and quality of animal seed dispersal

Forest degradation changes the structural heterogeneity of forests and species communities, with potential consequences for ecosystem functions including seed dispersal by frugivorous animals. While the quantity of seed dispersal may be robust towards forest degradation, changes in the effectiveness of seed dispersal through qualitative changes are poorly understood. Here, we carried out extensive field sampling on the structure of forest microhabitats, seed deposition sites, and plant recruitment along three characteristics of forest microhabitats (canopy cover, ground vegetation, deadwood) in Europe's last lowland primeval forest (Białowieża, Poland). We then applied niche modelling to study forest degradation effects on multi-dimensional seed deposition by frugivores and recruitment of fleshy-fruited plants. Forest degradation was shown to (1) reduce the niche volume of forest microhabitat characteristics by half, (2) homogenize the spatial seed deposition within and among frugivore species, and (3) limit the regeneration of plants via changes in seed deposition and recruitment. Our study shows that the loss of frugivores in degraded forests is accompanied by a reduction in the complementarity and quality of seed dispersal by remaining frugivores. In contrast, structure-rich habitats, such as old-growth forests, safeguard the diversity of species interactions, forming the basis for high-quality ecosystem functions.

opencc-zeroJun 2022View details →

Interspecific coprophagia by wild red foxes: DNA metabarcoding reveals a potentially widespread form of commensalism among animals

Vertebrate animals are known to consume other species' faeces, yet the role of such coprophagy in species dynamics remains unknown, not least due to the methodological challenges of documenting it. In a large-scale metabarcoding study of red fox and pine marten scats, we document a high occurrence of domestic dog DNA in red fox scats and investigate if it can be attributed to interspecific coprophagia. We tested whether experimental artifacts or other sources of DNA could account for dog DNA, regressed dog occurrence in the diet of fox against that of the fox' main prey, short-tailed field voles, and consider whether predation or scavenging could explain the presence of dog DNA. Additionally, we determined the calorific value of dog faeces through calorimetric explosion. The high occurrence of dog DNA in the diet of fox, the timing of its increase, and the negative relationship between dog and the fox's main prey, point to dog faeces as the source of DNA in fox scats. Dog faeces being highly calorific, we found that foxes, but not pine martens, regularly exploit them, seemingly as an alternative resource to fluctuating prey. Scattered accounts from the literature may suggest that interspecific coprophagia is a potentially frequent and widespread form of interaction among vertebrates. However, further work should address its prevalence in other systems as well as the implications for ecological communities. Tools such as metabarcoding offer a way forward.

opencc-by-4.0Jun 2022View details →

ROADMAP Animation Video

This animation movie of ROADMAP describes the importance of antimicrobial resistance, how ROADMAP supports prudent use of antimicrobials in livestock sector and ROADMAP's tailored solutions in case studies and living labs in 10 different countries in pig, poultry, dairy and veal production farms.   French version: https://www.youtube.com/watch?v=YP-02Io4SoU&t=57s Spanish version: https://www.youtube.com/watch?v=vlew_jIYuOs&t=13s Italian version: https://www.youtube.com/watch?v=qi_00E9Yqmc&t=6s   Learn more about ROADMAP by visiting the website: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbXBNN3NtZFlfa3dQYWpmem9aSE1vNzA2OHdWd3xBQ3Jtc0ttZUExc2xDU28yaVVacjVSTFZia1lWbVAzNUJmVDdDbElpdkg5UTNrei15VTUzbjZocU9QbDFYaFlRRTRFcWVPOWEweUZ3dG5saTZuVDNLLWR5ODVTcmRzMU90R1NtVmJsTVdoakVMSHMtUkZSZnY5UQ&q=https%3A%2F%2Fwww.roadmap-h2020.eu%2F&v=7FvY1wzbjhg">https://www.roadmap-h2020.eu/</a>

opencc-zeroJul 2022View details →

Predation and parasitism as determinants of animal personalities

1. Within the same population, proactive (i.e. bolder, more exploratory, active and aggressive) and reactive (i.e. more timid, less exploratory, less active and more passive) individuals could be hypothetically maintained due a trade-off between foraging and anti-predator behaviour, provided that both phenotypes differ in their state (e.g. metabolic rates, body condition or energetic needs). 2. Yet, recent findings indicate that among-individual variation in intrinsic state can explain only a small proportion of variation in behaviour, meaning that other mechanisms, such as the presence of trophically transmitted parasites, might contribute to maintaining inter-individual behavioural differences. Empirical evidence, indeed, suggests strong relationships between certain animal personality traits and parasitic load within host populations. However, the direction of causation between these traits remains unclear: are different behaviours in infected hosts in contrast to uninfected ones the result of manipulation by parasites to increase host predation, or are some personalities inherently more susceptible to infection than others? 3. To better understand the role of parasites in shaping behavioural differences within host populations and examine to what extent parasite manipulation and/or intrinsic differences in parasite susceptibility contribute to maintaining behavioural differences, we used a simulation approach and analyzed the change in the frequencies of proactive and reactive individuals over time under different predation and starvation scenarios, when individual phenotype either affected a host's risk of infection or not. 4. We found that in the absence of parasites, predation pressure strongly affected the expression of host personality, but trade-offs between foraging and anti-predator behaviour alone could not explain the maintenance of inter-individual behavioural differences without temporal variation in predation pressure. By contrast, in the presence of parasites, the two host phenotypes could coexist within populations even when individuals experienced no temporal variations in predation risk, but only when proactive and reactive hosts were equally susceptible to parasitism. 5. Our findings thus indicate that parasites can play an important role in maintaining genetic diversity in their host populations in addition to generating behavioural differences though manipulation.

openmit-licenseJul 2022View details →

Animal Recognition Using Methods Of Fine-Grained Visual Analysis - YOLOv5 Object Detection Dataset (Oxford-IIIT Pet)

Preprocessed dataset for Oxford-IIIT Pet in YOLOv5 format..  Ground truth labels for head bounding boxes, body bounding boxes (derived from segmentation mask).

opencc-by-4.0Jul 2022View details →

Animal Recognition Using Methods Of Fine-Grained Visual Analysis - YOLOv5 Breed Classification Dataset (Oxford-IIIT Pet)

Oxford-IIIT Pet Dataset with ground truth labels for breeds (from https://public.roboflow.com/object-detection/oxford-pets).

opencc-by-4.0Jul 2022View details →

Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (All Dev and Test Images, Single Folder)

Kashtanka Pets images, with all Dev and Test images (total 66639 images).  In a single folder, with filenames indicating path of file in original dataset distribution.

openmit-licenseJul 2022View details →

Animal Recognition Using Methods Of Fine-Grained Visual Analysis - YOLOv5 Object Detection Dataset (Tsinghua Dogs)

Preprocessed dataset for Tsinghua Dogs in YOLOv5 format..  Ground truth labels for head bounding boxes, body bounding boxes