DOI: 10.3897/rio.11.e160367

Authors: Rajapreethi Rajendran, Claus Weiland, Jonas Grieb, Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

Abstract: The Distributed System for Scientific Collections (DiSSCo) is a research infrastructure to integrate European natural science collections (NSCs) digitally. The aim is to facilitate and enhance the access, management and analysis of collection assets in one unified digital collection. The Machine Annotation Services (MAS) are essential components of DiSSCo’s Digital Specimen Architecture (DSArch). These services automate the annotation of digital objects to enable labelling and categorisation of NSC's digital assets.To further advance this, a Machine Learning as a Service (MLaaS) approach was developed which provides researchers with the access to pre-trained machine-learning models for complex tasks, such as instance segmentation and morphological analysis of datasets. MLaaS enhances the DiSSCo’s scalability and flexibility and allows the integration of machine-learning tools in close alignment with the FAIR (Findable, Accessible, Interoperable, Reusable) principles.This study employs DiSSCO's MLaaS framework for the quantitative analysis of herbarium specimens. Machine-learning models, such as Mask R-CNN and YOLO11, are comparatively applied to detect and generate the pixel-level masks of plant organs in herbarium sheets. Subsequently, these models are used to reconstruct the scale in the herbarium sheet and to calculate the surface area of identified plant organs. The determination of quantitative characteristics of plant specimens, such as measuring leaf area or the timestamp of the floral transition, opens up herbarium data for reuse in the large prognosis platforms currently developed in the framework of the Common European Data Spaces. In this way, plant trait data mobilised from natural science collections can improve the predictive capability of the vegetation model components of climate-related data spaces.

HTML

XML

PDF

DOI: 10.3897/rio.11.e176476

Authors: Tina Heger, Stella Berger, Jonathan Jeschke, Chris Kittel, Peter Kraker, A. Makower, Daniel Mietchen, Jens Nejstgaard, Maxi Schramm

Abstract: Water is vital for life on Earth, but aquatic environments worldwide are facing critical challenges that cause severe problems for biodiversity and human well-being. These challenges include, for example, water pollution, habitat degradation, escalating water and air temperatures, salinisation of freshwaters, ocean acidification and invasive species. Since these stressors interact in complex ways, developing predictions and mitigation measures is difficult. Mesocosm experiments, offering controlled, yet realistic settings, are crucial for understanding and mitigating the impact of various stressors and their combinations on aquatic ecosystems. Mesocom facilities are key Research Infrastructures (RI), as they bridge the gap between laboratory experiments and natural systems allowing studies of highly complex environments comparable to natural ecosystems, while still offering controlled and replicated settings not available in natural systems.The AQUACOSM-RI consortium, comprising over 60 individual state-of-the-art mesocosm facilities at 28 host institutions across Europe, has therefore been instrumental in advancing aquatic environmental research across climate zones including marine, brackish and freshwater ecosystems. In addition, the EU H2020-INFRAIA projects AQUACOSM (CORDIS No. 731065) and AQUACOSM-plus (CORDIS No. 871081, www.aquacosm.eu) have developed a virtual network beyond Europe of presently > 85 host institutions with > 120 aquatic mesocosm facilities around the world, www.mesocosm.org. However, the rich, yet disconnected resources in aquatic mesocosm-based experimental research and mitigation approaches need to be combined in a modern, visible and accessible way.The project AQUANAVI (Navigating Grand Challenges and their Mitigation using Aquatic Experimental RIs) aims to enhance existing efforts by creating an interactive atlas of aquatic mesocosm facilities and related mesocosm-based experimental research. Integrating data, publications, reports and information on mesocosm facility capacities generated by the AQUACOSM consortium and other mesocosm facilities in Europe and beyond, AQUANAVI will facilitate fast discovery of resources and unused potentials of available mesocosm facilities in a modern, visible and accessible way that is presently not available. Such a multidimensional tool is expected to enable novel collaborations and a much faster setup and execution of connected and/or distributed experiments and efficient development of environmental mitigation strategies. Built upon the AQUACOSM-RIs and their encompassing data and information repository as well as scientific and technical competence, while also leveraging related infrastructures like AnaEE, EMBRC, JERICO-RI and eLTER, AQUANAVI will provide a comprehensive resource platform to more effectively explore available resources for aquatic experimental research.AQUANAVI will bridge this wealth of scientific data, expertise and mesocosm facility information through Hi Knowledge, an innovative analysis and visualisation platform that merges Wikidata, Open Knowledge Maps,and Scholia. Hi Knowledge harnesses the semantic capabilities of Wikidata to rapidly construct a FAIR and open corpus for a domain, based on a sophisticated conceptual classification system. Subsequently, Hi Knowledge incorporates visualisation components from Open Knowledge Maps and Scholia, allowing researchers to smoothly navigate information using cutting-edge visualisation techniques, artificial intelligence and knowledge synthesis methods.Open and collaborative by design, AQUANAVI’s architecture will engage a broad range of research communities. By consolidating data and information from diverse RIs, the platform will leverage and enhance the AQUACOSM and related research infrastructures, securing the reusability and interoperability of existing data collections and better exploration of existing RIs in the future. Compliant with FAIR principles and EOSC requirements, AQUANAVI will ensure the long-term sustainability and openness of its resources, enriching both the ENVRI services portfolio and the broader scientific community. In summary, AQUANAVI will empower researchers and stakeholders to implement measures to mitigate the effects of climate change and other Grand Challenges facing aquatic environments, serving as a key resource within and beyond the European research area.

HTML

XML

PDF

DOI: 10.3897/arphapreprints.e157339

Authors: Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam

Abstract: Biodiversity research relies on physical specimens stored in natural science collections, which serve as enduring reservoirs of data about organisms and their environments. However, these reservoirs remain siloed. The concept of Digital Specimen addresses the challenges posed by the vast amount of disconnected digital biodiversity data available today. The existing approach involves converting analogue records into digital replicas stored in local databases, leading to isolated and fragmented datasets that are difficult to integrate and utilise efficiently. The Digital Specimen aims to overcome this by establishing an interconnected network of digital objects on the Internet. Digital Specimens are FAIR Digital Objects (FDOs), structured digital entities that adhere to the FAIR principles: Findable, Accessible, Interoperable, and Reusable. FDOs have the potential to enhance the accessibility and interoperability of data from natural science collections by providing unique identifiers, descriptive metadata, and defined operations. DiSSCo utilises the FDO framework to enhance the accessibility and interoperability of biodiversity research data from natural science collections. FDOs facilitate seamless data exchange by providing structured digital objects with unique identifiers, descriptive metadata, and defined operations. As part of making Digital Specimens FDOs, DiSSCO implemented FDO records, metadata records associated with a Persistent Identifier, which further enable machine actionability. A Digital Object repository was developed for the purposes of storing and acting upon digital specimens. Three technological pillars compose the repository: a relational database stores the latest version of the digital specimen and is used for retrieving specimens by their identifier; an indexing solution provides full search capabilities on digital specimens; and a document store holds previous versions of a digital specimen for provenance purposes. There are three ways a user may interact with the digital object repository: a REST API; a user-friendly web portal; and a DOIP server.To ingest data from multiple source systems, a harmonised data model was developed, called OpenDS. Built upon existing international standards like DarwinCore and ABCD, OpenDs accommodates complex structures necessary to capture information about multiple taxonomic identifications, events, agents, and relationships to other data sources. DiSSCo has decided to adapt the GBIF Unified Model (UM) for specimen data, ensuring interoperability and avoiding the development of potentially competing standards. By aligning with the GBIF UM, DiSSCo enhances interoperability with GBIF and promotes the establishment of a unified data modelling standard within the biodiversity community, facilitating seamless data exchange and integration with data aggregators like GBIF.

HTML

XML

PDF

DOI: 10.3897/rio.10.e125086

Authors: Bekir Afsar, Kyle Eyvindson, Tuomas Rossi, Martijn Versluijs, Otso Ovaskainen

Abstract: Forests are crucial in supporting biodiversity and providing ecosystem services. Understanding forest biodiversity dynamics under different management strategies and climate change scenarios is essential for effective conservation and management. This paper introduces the Forest Biodiversity Dynamics Prototype Digital Twin (pDT), integrating forest and biodiversity models to predict the effects of management options on forest ecosystems. The primary objective is to identify optimal management strategies that promote biodiversity, focusing on conservation and adaptation to different climate conditions. We start with the case of Finnish forests and bird species and plan to expand to include more European countries and a variety of species as the pDT is further developed.

HTML

XML

PDF

DOI: 10.3897/rio.10.e125192

Authors: Desalegn Chala, Erik Kusch, Claus Weiland, Carrie Andrew, Jonas Grieb, Tuomas Rossi, Tomas Martinovic, Dag Endresen

Abstract: Amidst population growth and climate-driven crop stresses such as drought, extreme weather, fungal and insect pests, as well as various crop diseases, ensuring food security demands innovative strategies. Crop wild relatives (CWR), wild plants in the same genus as the crop as well as wild populations belonging to the same species as the crop, offer novel genetic resources crucial for enhancing crop resilience against these stress factors. Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources. Using the MoDGP (Modelling the Germplasm of Interest) tool, the pDT enables mapping geographic areas where stress-tolerant CWR populations can be found. With its graphical user interface, it offers flexibility in selecting genetic resources from CWR tailored to enhance resilience of various crops against diverse stress factors.

HTML

XML

PDF

DOI: 10.3897/arphapreprints.e106369

Authors: Christos Arvanitidis, Ron Dekker, Andreas Petzold, Niklas Blomberg, Giovanni Lamanna, Rudolf Dimper, Cristina Isabel Huertas Olivares, Ana Mellado, Matthew Viljoen, Sally Chambers, Montserrat González, Sophie Viscido

Abstract: The Special Collection of articles on the Science Projects of the EOSC Future project, funded by the European Commission, refers to one of the essential components of the project. This editorial article explains how the Science Projects fit to the EOSC Future, the way their concept has been developed and evolved during the preparation and the implementation of the project and it also makes an introduction to the templates developed by the Science Projects as a plan to carry out their activities.

HTML

XML

PDF

DOI: 10.3897/rio.7.e63748

Authors: Martin Palma, Alessandro Zandonai, Luca Cattani, Johannes Klotz, Giulio Genova, Christian Brida, Norbert Andreatta, Georg Niedrist, Stefano Della Chiesa

Abstract: Easily accessible data is an essential requirement for scientific data analysis. The Data Browser Matsch | Mazia was designed to provide a fast and comprehensible solution to access, visualize and download the microclimatic measurements of the IT 25 LT(S)ER Match | Mazia research site in South Tyrol, Northern Italy, with the overall aim to provide straightforward data accessibility and enhance dissemination.Data Browser Matsch | Mazia is a user-friendly web-based application to visualize and download micrometeorological and biophysical time series of the Long-Term Socio-Ecological Research site Matsch | Mazia in South Tyrol, Italy. It is designed both for the general public and researchers. The Data Browser Matsch | Mazia drop-down menus allow the user to query the InfluxDB database in the backend by selecting the measurements, time range, land use and elevation. Interactive Grafana dashboards show dynamic graphs of the time series.

HTML

XML

PDF

DOI: 10.3897/rio.4.e32449

Authors: Katja Seltmann, Sara Lafia, Deborah Paul, Shelley James, David Bloom, Nelson Rios, Shari Ellis, Una Farrell, Jessica Utrup, Michael Yost, Edward Davis, Rob Emery, Gary Motz, Julien Kimmig, Vaughn Shirey, Emily Sandall, Daniel Park, Christopher Tyrrell, R. Sean Thackurdeen, Matthew Collins, Vincent O'Leary, Heather Prestridge, Christopher Evelyn, Ben Nyberg

Abstract: Georeferencing is the process of aligning a text description of a geographic location with a spatial location based on a geographic coordinate system. Training aids are commonly created around the georeferencing process to disseminate community standards and ideas, guide accurate georeferencing, inform users about new tools, and help users evaluate existing geospatial data. The Georeferencing for Research Use (GRU) workshop was implemented as a training aid that focused on the creation and research use of geospatial coordinates, and included both data researchers and data providers, to facilitate communication between the groups. The workshop included 23 participants with a wide background of expertise ranging from students (undergraduate and graduate), professors, researchers and educators, scientific data managers, natural history collections personnel, and spatial analyst specialists. The conversations and survey results from this workshop demonstrate that it is important to provide opportunities for biocollections data providers to interact directly with the researchers using the data they produce and vice versa.

HTML

XML

PDF

DOI: 10.3897/rio.3.e13088

Authors: Lyubomir Penev, Teodor Georgiev, Peter Geshev, Seyhan Demirov, Viktor Senderov, Iliyana Kuzmova, Iva Kostadinova, Slavena Peneva, Pavel Stoev

Abstract: The ARPHA-BioDiv Тoolbox for Scholarly Publishing and Dissemination of Biodiversity Data is a set of standards, guidelines, recommendations, tools, workflows, journals and services, based on the ARPHA Publishing Platform of Pensoft, designed to ease scholarly publishing of biodiversity and biodiversity-related data that are of primary interest to EU BON and GEO BON networks. ARPHA-BioDiv is based on the infrastructure, knowledge and exeprience gathered in the years-long research, development and publishing activities of Pensoft, upgraded with novel tools and workflows that resulted from the FP7 project EU BON.

HTML

XML

PDF

DOI: 10.3897/rio.2.e10708

Authors: Ethan White

Abstract:

HTML

XML

PDF