Artificial Intelligence is the new electricity! It is a valuable tool, that already shows its potential in numerous everyday applications. We are the Earth and Environment team at Helmholtz AI and our aim is to contribute in making this tool available within the science community, as a means towards scientific advancement. We help researchers embrace AI in their research endeavors, and work...
Marine data quality control (QC) is crucial to provide robust data products for climate analyses, monitoring, process- and model studies and much more. However, the QC of marine measurements of e.g. temperature, salinity, nutrients (phosphate, nitrate, …), oxygen etc. is challenging. Measurements are prone to errors due to external forcing (sun, wind, currents, …), internal variability (e.g....
As the life sciences are becoming increasingly reliant on big data and an ever-growing number of computational strategies, leveraging a data science approach can substantially enhance the efficacy and robustness of biological data analyses. Yet, for these data manipulation and processing methods to reach their full potential for biological applications, it is critical for biologists and...
While GPU computing has been widely used in science through the Tensorflow and Torch frameworks, and in specialized HPC applications, software that runs on end-user-devices often does not yet use these technologies.
In this presentation, we show how we used OpenGL compute shaders to accelerate key features of the software developed in the ValidITy project (https://validity-project.eu) to...
The recent leaps in Data Science (DS) methodologies present a unique opportunity for many scientific topics to yield progress faster than ever, by leveraging increased capacity of analyzing data. However, major breakthroughs in most sciences are only achievable by combining these DS methodologies with large computing facilities, which have both the large computing capacity and the ability to...
EarthServer is a global federation of research institutions and commercial providers offering location-transparent datacube access, extraction, aggregation, analytics, and fusion. AWI is member in EarthServer since several years now.
In our live demos we will present the EarthServer principle of a single global datacube space. Further, we will present recent technical progress on AI...
This presentation demonstrates the most recent features of Psyplot, a powerful tool for visualizing climate data on unstructured grids. The utilization of UGRID conventions has become paramount in handling unstructured grids effectively. This presentation demonstrates how psyplot can be used to effectively and straightforwardly visualize climate data conforming to UGRID conventions,...
Scientific data management is a critical aspect of collaborative research, especially in disciplines reliant on large datasets such as earth system sciences. The THREDDS Data Server (TDS), an open-source, Java-based web application, serves as a powerful tool for managing, sharing, and enabling metadata and data access to heterogeneous scientific datasets. However, its complex configuration may...
The Earth Data and Marine Data portals provide user-friendly platforms for exploring earth and environmental data. They function as central hubs for decentralized cross-institutional data, enhancing discoverability through a centralized search function and interactive map visualizations. These portals receive support from the German Alliance for Marine Research (DAM) and the Helmholtz-funded...
We will showcase a live demo version of the software developed in the ValidITy project (Validation of Intelligent Terrain Feature Recognition Methods for Hydrographic Data https://validity-project.eu/). This software aims to integrate all necessary steps of an object and terrain annotation and classification workflow on bathymetric data into one user-friendly product.
In the current version...
We present the concept of conducting complex simulations across infrastructures, an ice sheet model run on cluster A, ingesting data from cluster B and data from cluster C, and pushing results to cluster C - NEFDI4Earth Pilot CAPICE
German research vessels collect vast amounts of valuable data of the marine environment during each expedition. Especially underway data from autonomous sensor systems that are not the main focus of the scientific program are often not published or published with unknown quality and non-standardized and incomplete meta data. The “Underway Research Data” project of the German Marine Research...
The MOSAiC Virtual Research Environment (M-VRE) project offers three different tools for MOSAiC data exploration. One of these tools is webODV, the online version of Ocean Data View (ODV) software for analysis and visualization of oceanographic and georeferenced data.
During the MOSAiC Expedition 2019-2020, a great amount of measurements in different disciplines were collected and published...
Precise segmentation of 3D micro-CT scans is a crucial step in analyzing the microstructure of porous materials. The polar ice core (firn column) microstructure is of great importance in polar research. Detecting environmental effects on the firn column in polar ice core studies relies on accurately digitizing the microstructure. To study the evolving microstructure of the firn column, 150...
The NFDI4Earth Academy is a network of early career – doctoral and postdoctoral - scientists interested in bridging Earth System and Data Sciences beyond institutional borders. The research networks Geo.X, Geoverbund ABC/J, and DAM offer an open science and learning environment covering specialized training courses and collaborations within the NFDI4Earth consortium with access to all...
Comprehensive metadata are key to making data FAIR.
It is therefore essential to collect metadata in an organized and standardized way. For standardized data acquisition, ie. on research vessels, tools are already available and constantly improved. In land-based permafrost expeditions, however, the data and metadata are as diverse as the science questions behind them.
We present an...
Sustainability and the ecological impact of deep-sea mining operations are critical concerns addressed through environmental monitoring. Utilizing environmental DNA (eDNA) sequencing coupled with Machine Learning (ML) has proven effective in accurate monitoring, particularly in coastal environments. Currently, our goal is to broaden the application of this effective approach to encompass...
Scientific units nowadays commonly develop their own software in order to solve problems within their research. The planned user base is often limited to the originating unit which sometimes results in limited usability for external people. Oftentimes a software is only being developed to a prototype standard, so that it is usable for the group’s research, but not any further. When these...
Deep Learning (DL) helps identifying patterns, interactions and trends among biological communities − an important asset to discern temporal dynamics across ecological and environmental gradients.
Project iLOVE, funded by the AWI DataHub program, will establish a comprehensive analytic framework tailored to heterogeneous, multiannual data; based on data from the FRAM Observatory. This...
The International Generic Sample Number (IGSN) is a unique and persistent identifier, originally developed for samples in the Geosciences. A strategic partnership between IGSN e.V. and DataCite in 2023 led to the integration of all IGSNs as DataCite DOIs. While samples can be registered with the DataCite mandatory metadata, this schema is not designed to the comprehensive description of...
The detectability of wake signatures in satellite-based Synthetic Aperture Radar (SAR) acquisitions is dependent on various physical parameters describing the present situation during the detection. Ship wake signatures in SAR are complex structures consisting of multiple wake components appearing differently depending on the present detection situation. The physical parameters with influence...
The HMC Earth and Environment Hub is dedicated to establishing a robust framework for seamless semantic interoperability in the field of earth and environmental research. Our approach involves strategically coordinating processes within the Helmholtz Association. Standardizing and semantically annotating metadata and harmonizing existing semantic resources are crucial for bridging the gap...
The continuous growth of Earth System data, coupled with its inherent heterogeneity and the challenges associated with distributed data centers, necessitates a robust framework for efficient and secure data analysis. This abstract outlines the plans to implement an analysis framework within the marine data portal of the German Marine Research Alliance (Deutsche Allianz Meeresforschung, DAM) at...
Large language models can summarize, aggregate, and convey localized climate-related data. We have built a simple, proof-of-concept prototype and argue that the approach holds the potential to truly democratize climate information.
In 2019, German marine research, together with the federal government and the northern German states of Bremen, Hamburg, Mecklenburg-Western Pomerania, Lower Saxony, and Schleswig-Holstein, established the German Alliance for Marine Research (DAM). With this initiative, Germany has launched one of the world's largest marine research alliances.
The goal of DAM is to strengthen the sustainable...
DataNord is an interdisciplinary data competence center for the Bremen region, fostering interdisciplinary collaboration and empowering researchers at all career levels to improve their data skills. Through a comprehensive range of practical training courses, self-learning resources, interactive hackathons, personalised support services and networking opportunities, DataNord is dedicated to...
Data managers are essential to support scientists for successful research data management along the whole data life cycle. At the same time, scientists as well as data managers face various challenges such as the reduction of funding and therefore missing personnel and a lack of time for data management. As part of the DAM project “Underway” Research Data, a working group has formed consisting...
Biomolecules, such as DNA and RNA, provide a wealth of information about the distribution and function of marine organisms, and biomolecular research in the marine realm is pursued across several Helmholtz Centers. Biomolecular (meta)data, i.e. DNA and RNA sequences and all steps involved in their creation, exhibit great internal diversity and complexity. However, high-quality (meta)data...
