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1,069 results for “Data managment”
Case study data of the paper: A methodological guide to observe local-scale geodiversity for biodiversity research and management
<p><span>Current global environmental change calls for comprehensive and complementing approaches for biodiversity conservation. According to recent research, consideration of the diversity of Earth's abiotic features (i.e., geodiversity) could provide new insights and applications into the investigation and management of biodiversity. However, methods to map and quantify geodiversity at local scale have not been developed although this scale is important for conservation planning. </span><span>Here, we introduce a field methodology for observing plot-scale geodiversity, pilot the method in an Arctic-alpine tundra environment, provide empirical evidence on the plot-scale biodiversity-geodiversity relationship and give guidance for practitioners on the implementation of the method</span><span>.</span></p> <p><span>The field method is based on observation of geofeatures, i.e., elements of geology, geomorphology, and hydrology, from a given area surrounding a location of species observations. As a result, the method provides novel information on the variation of abiotic nature for biodiversity research and management. The method was piloted in northern Norway and Finland by observing geofeatures from 76 sites at three scales (5, 10 and 25 m radii). To explore the relationship between measures of biodiversity and geodiversity, the occurrence of vascular plant species was recorded from 2 m x 2 m plots at the same sites.</span></p> <p><span>According to the results, vascular plant species richness was positively correlated with the richness of geofeatures (R<sub>s</sub> = 0.18–0.59). The connection was strongest in habitats characterized by deciduous shrubs. The method has a high potential for observing geofeatures without extensive geological or geomorphological training or field survey experience and </span><span>could be applied by conservation practitioners</span><span>.</span></p> <p><span>Consideration of geodiversity in understanding, analysing and conserving biodiversity could facilitate environmental management and ensure the long-term sustainability of ecosystem functions. With the developed method, it is possible to cost-efficiently observe the elements of geodiversity that are useful in ecology and biodiversity conservation. Our approach can be adapted in different ecosystems and biodiversity investigations. The method can be adjusted depending on the abiotic conditions, expertise of the observer(s), and the equipment available.</span></p>
Data from: When can model-based estimates replace surveys of wildlife populations that span many discrete management units?
<p>Monitoring widely distributed species on a budget presents challenges for the spatio-temporal allocation of survey effort. When there are multiple discrete units to monitor, survey alternatives such as model-based estimates can be useful to fill information-gaps but may not reliably reflect biological complexity and change. The spatio-temporal allocation of survey effort that minimizes uncertainty for the greatest number of units within a budget can help to ensure monitoring efforts are optimized.</p> <p>We used aerial survey-based population estimates of moose (Alces alces) across 30 Wildlife Management Units (WMUs) in Ontario, Canada to parameterize simulated populations and test the performance of different monitoring scenarios in capturing WMU-specific annual variation and trends. Firstly, we tested scenarios that prioritized conducting a survey for a unit based on one of three management criteria: population state, population uncertainty, or number of years between surveys. Also incorporated in the decision framework were WMU-specific costs and annual budget constraints. Secondly, we tested how using model-based estimates to fill information-gaps improved population and trend estimates. Lastly, we assessed how the utility (based on minimizing population uncertainty) of using a model-based estimate rather than conducting a survey was impacted by population density, severity of environmental stressors, and years since the last survey.</p> <p>Interval-based monitoring that minimized the number of years between surveys captured accurate trends for the highest number of WMUs, but annual variation was poorly captured regardless of management criteria prioritized. Using model-based estimates to fill information gaps improved trend estimation. Further, the utility of conducting a survey increased with time since the last survey and was greater for populations with low densities when the severity of environmental stressors was high, while being greater for populations with high densities when environmental severity was low.</p> <p>Overall, the utility of aerial survey monitoring was strongly associated with WMU-specific monitoring precision and the predictive power of model-based estimates. If long-term trends are evident then there is greater value in using alternatives such as model-based predictions to replace surveys, but model-based estimates may be a poor substitute when there is strong annual variation and when using a simple model.</p>
Data from: A genotyping-in-thousands by sequencing panel to inform invasive deer management using non-invasive fecal and hair samples
<p>Studies in ecology, evolution, and conservation often rely on non-invasive samples, making it challenging to generate large amounts of high-quality genetic data for many elusive and at-risk species. We developed and optimized a Genotyping-in-Thousands by sequencing (GT-seq) panel using non-invasive samples to inform the management of invasive Sitka black-tailed deer (<em>Odocoileus hemionus sitkensis</em>) in Haida Gwaii (Canada). We validated our panel using paired high-quality tissue and non-invasive fecal and hair samples to simultaneously distinguish individuals, identify sex and reconstruct kinship among deer sampled across the archipelago, then provided a proof-of-concept application using field-collected feces on SGang Gwaay, an island of high ecological and cultural value. Genotyping success across 244 loci was high (90.3%) and comparable to that of high-quality tissue samples genotyped using restriction-site associated DNA sequencing (92.4%), while genotyping discordance between paired high-quality tissue and non-invasive samples was low (0.50%). The panel will be used to inform future invasive species operations (culls or eradications) in Haida Gwaii by providing individual and population information to inform management. More broadly, our GT-seq workflow that includes quality control analyses for targeted SNP selection and a modified protocol may be of wider utility for other studies and systems where non-invasive genetic sampling is employed.</p>
Data to support the publication The use of Twitter for knowledge exchange on sustainable soil management
<p>5 farmer semi-structured interviews</p>
Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans
<p>As policies, good practices and funder mandates on research data management evolve, more emphasis has been put on the licencing of data. Licencing information allow potential re-users to quickly identify what they can do with the data in question and is therefore an important component to ensure the reusability of research.</p> <p>In my research I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) available on the repository of the University of Vienna, Phaidra,, to determine which ones mention creative commons licences and among those who do, what licences are being used.</p> <p>This excel file contains the data underlying the publication "Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans ".</p> <p>Sheet 1 contains the data collected in the previous "Data Re-Use" project: 840 DMPs downloaded from CORDIS and vetted to ensure they are public documents and not copyrighted</p> <p>Sheet 2 contains the same data as sheet 1, with columns D to Q not visible (for better reading) but an added column R which now contains the CC licening information (where available)</p> <p>Sheet 3 is filtered so that only the projects containing CC BY relevant licencing are shown</p> <p>Sheet 4 is filtered so that only the projects containing CC-BY-SA relevant licencing are shown</p> <p>Sheet 5 is filtered so that only the projects containing CC-BY-NC relevant licencing are shown</p> <p>Sheet 6 is filtered so that only the projects containing CC-BY-ND relevant licencing are shown</p> <p>Sheet 7 is filtered so that only the projects containing Cc-BY-NC-ND relevant licencing are shown</p> <p>Sheet 8 is filtered so that only the projects containing CC-BY-NC-SA relevant licencing are shown</p> <p>Sheet 9 is filtered so that only the projects containing CC0 relevant information are shown</p> <p>Sheet 10 provides an overview table of the relevant licences (manual entry)</p> <p>Sheet 11 and 12 contain graphic visulations of the data as used in the article</p>
Comparing conservation and animal welfare professionals' perspectives on domestic cat management (data and scripts)
<p>This repository contains the final datasets and R scripts to run the analyses and create the plots in the main text of this publication.</p> <p> </p>
Data from: Integrating herbivore assemblages and woody plant cover in an African savanna to reveal how herbivores respond to ecosystem management
<p>African savannas are experiencing anthropogenically-induced stressors that are accelerating the increase of woody vegetation cover. To combat this, land managers frequently implement large-scale clearing of trees, which can have a cascading influence on mammalian herbivores. Studies rarely focus on how differences in woody cover influence the herbivore assemblage, making it difficult to assess how aggressive measures, or the lack of management, to counteract increasing woody cover affect the local composition and biodiversity of herbivores. We address this knowledge gap by applying a model-based clustering approach to field observations from to identify multiple herbivore–vegetation ‘configurations,’ defined as unique sets of herbivore assemblages (i.e., groups of herbivores) associated with differing woody plant covers. Our approach delineated how tree-clearing influences the distribution and abundance of the herbivore community in relation to surrounding savanna areas, which represent a natural mosaic of varying woody cover. Regardless of season, both intensively managed areas cleared of trees and unmanaged areas with high tree cover contained configurations that had depauperate assemblages of herbivores (low species richness, low abundance). By contrast, habitats with intermediate cover of woody vegetation had much higher richness and abundance. These results have substantial implications for managing African savannas in a rapidly changing climate.</p>
Data and R scripts for: Identifying existing management practices in the control of Striga asiatica within rice–maize systems in mid-west Madagascar
<p>Infestations by the parasitic weed genus <i>Striga</i> result in significant losses to cereal crop yields across sub-Saharan Africa. The problem disproportionately affects subsistence farmers who frequently lack access to novel technologies. Effective <i>Striga </i>management therefore requires the development of strategies utilising existing cultural management practices. We report a multi-year, landscape-scale monitoring project for <i>Striga</i> asiatica in the mid-west of Madagascar, undertaken over 2019-2020 with the aims of examining cultural, climatic and edaphic factors currently driving abundance and distribution. Long-distance transects were established across the middle-west region of Madagascar, over which <i>Striga asiatica</i> abundance in fields was estimated. Analysis of the data highlights the importance of crop variety and legumes in driving <i>Striga </i>density. Moreover, the dataset revealed significant effect of precipitation seasonality, mean temperature and altitude in determining abundance. A composite management index indicated the effect of a range of cultural practices on changes in <i>Striga </i>abundance<i>. </i>The findings support the assertion that single measures are not sufficient for the effective, long-term management of <i>Striga</i>. Furthermore, the composite score has potential as a significant guide of integrated <i>Striga </i>management beyond the geographic range of this study. </p>
Data Management Plan: FNS Project "Le scénario chez Alain Tanner : discours et pratiques. Une approche génétique du récit filmique et des représentations de genre"
<p>Le présent projet entend investiguer, sur la base principalement des archives personnelles d’Alain Tanner déposées à la Cinémathèque suisse (CS), la genèse des dix-neuf longs métrages de fiction réalisés par le cinéaste suisse romand entre 1969 (<em>Charles mort ou vif</em>) et 2004 (<em>Paul s’en va</em>) en optant pour une méthodologie relevant de l’étude génétique des textes scénaristiques. </p> <p>Parallèlement à l’étude des archives de production qui nous renseignent sur les pratiques d’écriture, nous envisageons le discours tenu à propos du scénario par Tanner, l’un des cinéastes suisses à avoir bénéficié d’une importante reconnaissance internationale et exercé un impact considérable sur la manière dont le cinéma a été conçu dans son pays. Nous postulons que le « scénario » se situe au cœur de l’œuvre du cinéaste dans la mesure où ce dernier a constamment entretenu un rapport ambivalent à ce stade de la fabrication de ses films : alors qu’il n’a eu de cesse de relativiser le rôle de l’écriture au profit de la mise en scène, il a par ailleurs constamment problématisé, dans ses prises de position publiques et ses nombreux textes de réflexion sur sa pratique, la question de l’écriture. La constitution d’un historique de production de l’ensemble des longs métrages que Tanner a réalisés, (co)produits et (co)écrits, ainsi qu’une étude comparative des états et variantes de scénario entre eux et avec les différents films tels qu’ils ont été exploités sont ainsi corrélés à l’ensemble des discours sur le cinéma qui ont été émis par Tanner à travers divers canaux médiatiques, ainsi qu’avec la réception critique de ses films qui s’est fait l’écho de son discours et a commenté son travail. L’engagement institutionnel de Tanner dans les années 1960 ainsi que sa visibilité médiatique tout au long de sa carrière permettront d’offrir un éclairage plus large sur l’histoire du cinéma suisse de fiction. </p> <p>La genèse des scénarios de Tanner sera en particulier envisagée dans ce que leur étude apporte sur un plan méthodologique à la génétique des textes, et dans la manière dont ceux-ci s’appuient sur du matériel antérieur (romans pour ses deux adaptations, journaux intimes, faits divers, photographies, cartes géographiques, etc.), programment différents aspects du film à venir (dialogues, mouvement d’appareil, montage, jeu d’acteur, bande-sons, etc.) et résultent d’une écriture collaborative. A ce titre, trois personnalités ayant travaillé successivement comme coscénariste sur des films de Tanner et stimulé sa réflexion sur le cinéma font l’objet d’une étude : le critique d’art John Berger, l’actrice et chanteuse Myriam Mézières et enfin le romancier et figure du monde des lettres et des médias Bernard Comment. Les modalités de la création à quatre mains sont discutées dans une perspective double : (1) une étude narratologique (la construction du récit et des personnages, le processus de l’adaptation, etc.) ; (2) une étude des représentations genrées. Sur ces deux plans, nous avons l’ambition de montrer, en dépit d’ambivalences diverses, combien le cinéma de Tanner se distingue de la production dominante et même du cinéma d’auteur francophone post-Nouvelle Vague par une originalité certaine qui demeure à ce jour trop peu discutée dans l’histoire du cinéma (suisse). L’étude de ce corpus se prête à affiner l’approche génétique en l’adaptant à l’hétérogénéité et au non-conformisme des pratiques de Tanner. </p> <p> </p> <p> </p>
Tutorial for the 2022 ACM SIGMOD Conference: Spatial Data Quality in the IoT Era: Management and Exploitation
<p>Within the rapidly expanding Internet of Things (IoT), growing amounts of spatially referenced data are being generated. Due to the dynamic, decentralized, and heterogeneous nature of the IoT, spatial IoT data (SID) quality has attracted considerable attention in academia and industry. How to invent and use technologies for managing spatial data quality and exploiting low-quality spatial data are key challenges in the IoT. In this tutorial, we highlight the SID consumption requirements in applications and offer an overview of spatial data quality in the IoT setting. In addition, we review pertinent technologies for quality management and low-quality data exploitation, and we identify trends and future directions for quality-aware SID management and utilization. The tutorial aims to not only help researchers and practitioners to better comprehend SID quality challenges and solutions, but also offer insights that may enable innovative research and applications.</p>
Research Data Management Decision Tree
<p>Researchers often face the same stumbling blocks. To support them, we have developed a <strong>RDM Decisional Tree</strong> starting from the fundamental bricks of the data lifecycle and posing a series of questions to help researchers navigate:</p> <p>1) the domain specific nature and origin of the data they are handling;</p> <p>2) Privacy/Ethics requirements (e.g. GDPR);</p> <p>3) Intellectual Property Rights;</p> <p>4) active data storage;</p> <p>5) long-term deposit and preservation.</p> <p><span>This diagram has been created by the team of data steward at the University of Bologna (UNIBO, Alma Mater Studiorum - Università di Bologna) in October 2022. </span>It has been developed in parallel to the Research Data Management: Data Lifecycle, available here: <a href="https://doi.org/10.5281/zenodo.7249050">10.5281/zenodo.7249050</a> </p>
Data for: Direct and indirect effects of management and landscape on biological pest control and crop pest infestation in apple orchards
<p>Biological pest control, relying on naturally occurring predator-prey dynamics, is considered a key element to achieve more sustainable farming systems. However, the combined effects of local management and landscape factors on communities of natural enemies as well as the cascading effects on pest infestations are rarely addressed, especially in perennial crops. Here, we used Piecewise Structural Equation Modelling (PSEM) to test direct and indirect effects of landscape composition, landscape configuration and local management practices on natural enemy communities, the pest control services they provide and ultimately on pest infestation and pest-related yield damage in apple crops. To this end, we surveyed 12 organic and 12 Integrated Pest Management (IPM) orchards during three consecutive years, and we also established a semi-natural benchmark to quantify the extent to which predator communities in the orchards were degraded. Natural enemies had a different community composition and were more abundant in organic orchards compared to IPM orchards. This had a small and positive effect on sentinel egg predation rates in organic orchards, but overall had very little impact on actual apple pest infestation. On the contrary, apple pest infestation levels were directly and positively affected by organic management practices and by increasing semi-natural habitat cover and landscape edge density. Compared to a semi-natural benchmark, both agricultural management systems showed degraded predator communities, which translated into an impaired delivery of biological control services. Synthesis and applications. Our results indicate that organic management and habitat conservation can enhance natural enemies and stimulate pest control, but also show that these factors can enhance pest infestations and can even lead to an overall increase in pest-related crop damage. Our study thus highlights the complex interplay of ecosystem services and disservices provided by biodiversity, which should be taken into account when advising farmers, policy makers and land managers on effective and sustainable strategies to control pest species and safeguard crop production.</p>
COAR RDM (Research Data Management) Working Group
<p>This presentation was made in the internal meeting of COAR RDM (Research Data Management) Working Group. It covered building up support structure for RDM and the requirements for infrastructures including a use case from Vienna University.</p>
myVCF: a desktop application for high-throughput mutations data management
<p>Next-generation sequencing technologies have become the most powerful tool to discover genetic variants associated with human diseases. Although the dramatic reductions in the costs facilitate the use in the wet-lab and clinics, the huge amount of data generated renders their management by non-expert researchers and physicians extremely difficult. Therefore, there is an urgent need of novel approaches and tools aimed at getting the ‘end-users’ closer to the sequencing data, facilitating the access by non-bioinformaticians, and to speed-up the functional interpretation of genetic variants. We developed myVCF, a standalone, easy-to-use desktop application, which is based on a browser interface and is suitable for Windows, Mac and UNIX systems. myVCF is an efficient platform that is able to manage multiple sequencing projects created from VCF files within the system; stores genetic variants and samples genotypes from an annotated VCF files into a SQLite database; implements a flexible search engine for data exploration, allowing to query for chromosomal region, gene, single variant or dbSNP ID. Besides, myVCF generates a summary statistics report about mutations distribution across samples and across the genome/exome by aggregating the information within the VCF file. In summary, the myVCF platform allows end-users without strong programming and bioinformatics skills to explore, query, visualize and export mutations data in a simple and straightforward way.</p>
Additonal material for the dissertation "An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management": Data, MATLAB codes and results
<p>File "DataImport" contains a "ReadMe" file, raw data for all case studies in Excel and the MATLAB code "ImportData.m" importing Excel data into MATLAB</p> <p>File "LShaped" contains a "ReadMe" file, all data in the form of matrices and the MATLAB code "LShaped_MultiCut.m" solving all case studies via the standard or accelerated L-shaped method using a multi-cut approach</p> <p>File "Results" contains a "ReadMe" file, results of all case studies and computation time required by Gurobi, der standard L-shaped method and accelerated L-shaped method</p>
Data from: The potential of undersown species identity vs. diversity to manage disease in crops
<p>In the absence of chemical control with its negative side effects, fungal pathogens can cause large yield losses, requiring us to develop agroecosystems that are inherently disease resistant. Grassland biodiversity experiments often find plant species diversity to reduce pathogen pressure, but whether incorporating high biodiversity levels in agricultural fields have similar effects remains largely unknown.</p> <p>We tested if undersown plant species diversity could reduce barley disease, and whether the effect was mediated through above- or belowground mechanisms, by combining an agricultural field trial with a soil transplant experiment.</p> <p>As predicted, barley disease decreased in the presence of undersown plants. Undersown species richness had no effect, but their abundance led to early season disease reduction. Aboveground mechanisms underpinned this disease reduction. Barley yield slightly decreased with increasing undersown species richness, and undersown species varied in their impact on yield.</p> <p>We identified two undersown species, <em>Trifolium repens</em> and <em>T. hybridum</em>, that contributed most to disease reduction and had the potential to increase barley yield. Furthermore, our results indicate that aboveground mechanisms caused this. We show that agroecosystem functioning can be improved without trade-offs on yield by targeted selection of undersown species.</p>
Data from: Influences of ski-runs, meadow management and climate on the occupancy of reptiles and amphibians in a high-altitude environment of Italy
<p>Alpine ecosystems harbour a rich and highly-specialized biodiversity which is particularly susceptible to anthropogenic disturbances such as habitat loss and fragmentation as well as to climate change. Combined with other forms of land-use conversion, construction and maintenance of ski resorts can have severe consequences on alpine biodiversity. In this study, we show how one amphibian and two reptile species, namely <em>Rana </em><em>temporaria</em>, <em>Zootoca</em><em> vivipara</em> and <em>Vipera</em><em> </em><em>berus</em>, respond to such impacts by means of a multi-season occupancy analysis. We found all three species both in and outside ski-runs, showing that these habitats do not necessarily preclude their occurrence. Contrarily, this is influenced more by microhabitat availability, such as ground vegetation, humid areas, and rock cover, rather than by macro-characteristics like elevation or habitat type. Moreover, we found a climatic influence on the year-to-year occupancy change of the species, with activity-months conditions being more relevant than overwintering ones. Our results demonstrate how, in the specific case of reptiles and amphibians, ski resorts do not necessarily limit species' occurrence and that a mild series of management actions might secure the species' persistence in the area.</p>
Data from: Phase-dependent red fox expansion into the tundra: Implications for management
<p>Expansion of boreal species into tundra ecosystems is a consequence of climate change and human exploitation that threatens local species through increased predation, competition, and pathogen transmission. Under these circumstances, efficient control of expanding boreal species may be necessary, but the efficiency of such action depends on understanding the ecological influences of expansion. The red fox (<em>Vulpes vulpes</em>) is expanding into the tundra across the Arctic. In Scandinavia, red foxes threaten local tundra species and communities including the endangered Arctic fox (<em>V. lagopus</em>). The ecological dynamics in the tundra are influenced by small rodent cycles (classified into different phases based on seasonal abundance fluctuations), which can affect red fox expansion, distribution, and abundance. We used a 17-year (2004–2020) dataset from the tundra in Sweden, consisting of raw snow track data, to test how cyclic prey influenced red fox distribution and abundance, and subsequently red fox control. The winter abundance of red fox was influenced by small rodent phase, with higher abundance during high prey availability (i.e., increased number of prey numbers) with no support for a time lag between red fox and small rodent abundance. This suggests that high prey availability attracts red foxes to the tundra and that higher immigration from the boreal zone can be expected in response to increased prey abundances. There was no relationship between red fox control and small rodent availability, but control was influenced by red fox abundance during the previous year, which highlights an opportunistic control strategy. We recommend an adaptive management strategy where authorities include small rodent dynamics in the planning and execution of red fox control.</p>
Data from: The role of predation, forestry and productivity in moose harvest at different spatial levels of management units
<p>Management of ungulate populations to the desired density and/or demographic composition are challenged by contrasting aims of different stakeholders. For example, hunters may want to maximize hunting opportunities whereas commercial forest owners may want to minimize moose densities to mitigate browsing damage. In addition, the return of large predators such as wolves (<em>Canis lupus</em>) affects the possible harvest yield of ungulates and influences the population composition through their selection of specific age classes. The aim of this study was to gain a better understanding of factors related to the variation in moose (<em>Alces alces</em>) harvest. We used moose harvest statistics from the period 2012-2020, wolf annual monitoring data, annual brown bear (<em>Ursus arctos</em>) density, proportion of young forest per management unit, and proportion of agricultural land per management unit (index for productivity and roe deer (<em>Capreolus capreolus</em>) density) to explain variation in moose harvest across different management units at two spatial levels in two bordering countries, Sweden and Norway. The results showed variable responses in total harvest to changes in wolf territory density both at the regional and local management level. The proportion of young forest was correlated with both increased total harvest and proportion of calves. Increased proportion of agricultural land was linked to both increased total harvest and proportion of calves, likely due to that increased roe deer densities re-directed wolf predation from moose to roe deer, and an inverse relationship with brown bear density. Differences between countries may be due to differences in the management regime of moose, both in an historical and present perspective. Improved monitoring for individual hunting areas over time will be important for both the understanding of how different ungulate populations are affected by various factors and for the desired management of wildlife populations shared across borders.</p>
Data from: Occurrence, ecology and management of Fascioloides magna in Bavaria, Southern Germany
<p>In 2015, red deer infected with American liver fluke were discovered in the Veldenstein Forest area for the first time. This was the first detection of the fluke in a wild deer population in Bavaria. </p> <p>The aim of the study was to determine the American liver fluke prevalence rates in red deer, roe deer and wild boar in the Veldenstein Forest, as well as factors influencing these rates.</p> <p>Since 2018, the livers of 83% of the red deer culled in the study area have been examined, as well as those of the occasional roe deer and wild boar. The livers are classified by adspection and dissection into four levels of infection. The age of the animals was estimated on the basis of dentition and tooth cementum annuli in the first molar (M1). The livers of 520 red deer, 226 roe deer and 75 wild boar were dissected. All wild boar livers tested negative. 3% of roe deer and 36% of red deer livers were positive. To lower the prevalence, the red deer population was reduced, beginning in 2018. In the following years, it fell significantly. Medium and high levels of infection were initially detected in 61% of adult red deer. Since 2018, the median number of flukes per infected liver has decreased significantly from 17.51 flukes/liver to 10.0 flukes/liver. On driven hunts, significantly more diseased deer were found than during hunting from raised hides.</p> <p>Furthermore, there are close correlations between infectations and the age of the red deer, and infections and the distance from the Pegnitz floodplains. The American liver fluke leads to the extinction of roe deer locally and to a massive infectation and decimation of the red deer population. Without a drastic reduction of the numbers in infected red deer populations, there is a risk of large-scale infection of native deer species across large areas in Bavaria.</p>
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.