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...
The DataPLANT consortium, a German National Research Data Infrastructure (NFDI), focuses on creating a resilient and enduring data infrastructure to support plant scientists with Research Data Management (RDM). Various tools and services are provided to assist users in this endeavour.
At the centre of DataPLANT lies the Annotated Research Context (ARC), a FAIR digital object. The ARC serves...
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...
Facing an era of rapid, anthropogenically induced changes in the global oceans, there is increasing acknowledgement of anthropogenic noise as a marine pollutant. Ocean sound is now considered an essential ocean variable by the Global Ocean Observing System (GOOS) and the need for ambient noise surveillance is emphasized not only by the scientific community, but also by policy-making entities....
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...
Climate change is causing significant environmental shifts in the Arctic Ocean, affecting the habitat suitability for marine mammal species inhabiting Arctic waters seasonally or year-round. Habitat degradation or habitat loss will particularly affect Arctic endemic species, such as bowhead whales (Balaena mysticetus). Bowhead whales possess a complex and temporally variable acoustic behavior...
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...
Emanuel Soeding, Stanislav Malinovschii (GEMAR), Andrea Poersch (GFZ Potsdam), Yousef Razeghi (UFZ Leipzig), Dorothee Kottmeier (AWI Bremerhaven)
The interconnectivity of existing data infrastructures (DIS) across national and international initiatives (e.g. NFDI, EOSC and others) is an important goal to create a common interoperable data space. To achieve this, it is critical to harmonize...
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...
