Data Science Symposium 2023

Sitzung

Poster session

08.06.2023, 16:30

8A-002 - Hörsaal Ostufer / Lecture Hall East (GEOMAR - Standort Ostufer / GEOMAR - East Shore)

32. A Flexible yet Sustainable Spatial Data Infrastructure for the Integration of Distributed Research Data

Peter Konopatzky (AWI)

Poster

The need for discoverability and accessibility of research data and metadata is huge, driven both by the FAIR principles and user requirements regarding research data portals, repositories and search engines. Interactive, visual and especially map-based exploration of research data is becoming increasingly popular. Bringing together technical reality and custom user vision in the design and...

35. Automatic classification of coastline and prediction of change - an exemplary study for the North Sea and Baltic Sea

David Pogorzelski (Helmholtz-Zentrum Hereon)

Poster

Automatic coastline classification based on machine learning is proven to be robust for sandy beaches on regional and global scales. However sandy beaches only make around one third of the world’s ice-free shoreline. The rest consists of mudflats, cliffs, different types of vegetation and human constructions. Classification of these features is
more challenging. For instance, mild foreshore...

19. Boosting the virtual research environment V-FOR-WaTer to facilitate data science across scales

Marcus Strobl

Poster

Complex interdisciplinary research challenges in environmental sciences require integration of data from different sources, different domains, and different scales of measurement. Despite the growing amount and diversity of available data, they are often stored in varying formats with inadequate metadata, making them challenging to access and integrate. The virtual research environment...

31. Detection and Tracking of Ocean Carbon Regimes Through Machine Learning

Sweety Mohanty (GEOMAR Helmholtz Centre for Ocean Research Kiel)

Poster

Our research focuses on detecting and tracking ocean carbon regimes, which are useful tools for understanding the impacts of climate change on ocean carbon uptake. Geoscientific datasets in Earth System Sciences often contain local and distinct statistical distributions at a regional scale. This poses a significant challenge in applying conventional clustering algorithms for data analysis....

5. FAIR bathymetry data archiving in PANGAEA - Data Publisher for Earth & Environmental Science

Daniel Damaske (PANGAEA - Data Publisher for Earth & Environmental Science (MARUM - Center for Marine Environmental Sciences, University of Bremen))

Poster

Compliant with the FAIR data principles ¹, long-term archiving of bathymetry data from multibeam echosounders – a highly added value for
the data life cycle - is the challenging task in the data information system PANGAEA. To cope with the increasing amount of data
(“bathymetry puzzle pieces”) acquired from research vessels and the demand for easy “map-based” means to find valuable data, new...

28. From Planning to Publication: The BIS (Biosample Information System) workflow

Felix Mittermayer (Research Data Management)

Poster

In an ongoing effort within the Helmholtz association to make research data FAIR, i.e. findable, accessible, interoperable and reusable, we also need to make biological samples visible and searchable. To achieve this, a first crucial step is to inventory already available samples, connect them to relevant metadata and assess the requirements for various sample types (e.g. experimental, time...

8. Greenland Drone Explorer – A browser-based platform for openly accessing and exploring high resolution, 3D drone imagery using ESRI solutions

Marie Ryan (Helmholtz - Zentrum Hereon)

Poster

Monitoring environmental changes in terrestrial, coastal, and marine areas in remote locations, such as Greenland, can prove challenging due to harsh weather conditions and lack of infrastructure. It is therefor of great importance that any data gathered in these locations, is made freely available for viewing and reuse. To address this challenge, we developed the Greenland Drone Explorer...

1. Making marine image data FAIR

Timm Schoening

Poster

Underwater images are used to explore and monitor ocean habitats, generating huge datasets with
unusual data characteristics that preclude traditional data management strategies. Due to the lack of
universally adopted data standards, image data collected from the marine environment are increasing
in heterogeneity, preventing objective comparison. the extraction of actionable information...

23. Sample Management System: SAMS

Dr. Maren Rebke (AWI)

Poster

Sample management is an integral part of research data management. The aim of the sample management system SAMS is to provide a centralized user management solution for the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. It represents a repository for metadata accompanying samples on sample collection and sample storage with a web-based interface. SAMS includes the...

34. Seeing the forest for the trees: mapping cover and counting trees from aerial images of a mangrove forest using artificial intelligence

Daniel Schuerholz (Leibniz Center for Tropical Marine Research)

Poster

Mangrove forests are threatened by multiple anthropogenic stressors, urging researchers to create improved monitoring methods for their conservation and management. Recent remote sensing efforts have found some success using high resolution imagery of mangrove forests with sparse vegetation. In this study we focus on stands of mangrove forests with dense vegetation, consisting of the endemic...

30. Shark out of water: Augmenting classification of imagery from caught sharks with machine learning

Fridolin Haag (Leibniz Centre for Tropical Marine Research (ZMT))

Poster

The incorporation of machine learning (ML) into wildlife monitoring has the potential to revolutionize data collection and conservation initiatives. We outline a human-in-the-loop ML approach for the identification of sharks caught along Tanzanian coasts. The image sources for this monitoring come from marketplaces or landing sites, resulting in a vast range of image quality, the state and...

14. Unlocking the Power of APIs: An Interactive Demonstration of a Federated Workspace for Marine (Meta)Data

FDI Digital Research Services (GEOMAR), DLS Data Division (AWI)

Poster

In an interactive demonstration, we will showcase how already available APIs can be used to unlock the power of a federated workspace for marine research, allowing for collaboration and data sharing across multiple services and applications.

Through the use of APIs, distributed metadata-services, such as the AWI Sensor Registry and GEOMARs Ocean Science Information System, DSHIP systems...

11. Verification of ESM-ML hybrids

Dr. Tobias Weigel (DKRZ / Hereon)

Poster

The transformative power of ML unleashed in Earth System modelling is taking shape. Recent advances in building hybrid models combining mechanistic Earth system models grounded in physical understanding and machine learning models trained from huge amounts of data show promising results and are in the focus of international research initatives. However, the ongoing implementation of such...