ALBERT

Description: An increasing pressure from governing bodies and funding agencies to disseminate research data in an open and FAIR (Findable, Accessible, Interoperable, and Reusable) format has led to an increase in online research portals of varying quality. The task of constructing and maintaining such portals is challenging, especially when left to individuals with limited understanding of modern web architecture. For those starting out on this endeavour, an over-abundance of online advice, coupled with the rapid evolution of “latest technologies”, can be overwhelming. The inevitable uncertainty leads to technologically-isolated portals with limited interoperability that ultimately hinders the exchange of geoscientific information. To reduce uncertainty for new initiatives, Geoluminate (https://geoluminate.github.io/geoluminate/) – a new micro web framework – offers a simple but robust platform for the rapid creation and deployment of new geoscience research portals. The framework's simplicity ensures that even those with limited expertise in web development can create and maintain effective portals that exhibit consistency in both design and functionality. Geoluminate aims to foster interoperability, reliability and decentralization of geoscience portals by providing a consistent and stable foundation on which they are built. Leveraging existing features of the Python-based Django Web Framework, Geoluminate offers a comfortable learning curve for those already familiar with Python programming. On top of the feature-rich ecosystem of Django, Geoluminate offers additional features specifically tailored to the needs of geoscientific research portals. Geoluminate is highly-opinionated and comes “batteries included” so that, as a research community, the focus can remain on designing data models that fit specific community needs and less on tedious implementation details. Currently backed by the international geothermal community as part of the World Heat Flow Database Project (http://heatflow.world/project), Geoluminate is under active development at the GFZ German Research Centre for Geosciences in Potsdam. Under the guidance of the partner repository GFZ Data Services, all data models are intrinsically tied to existing standards of metadata collection (e.g. Datacite, IGSN, ROR, ORCID) such that data publishing is easily facilitated through established pathways. Geoluminate champions the principles of open science and collaborative knowledge dissemination. This poster presentation aims to showcase the practical implementation and benefits of Geoluminate in creating geoscience research portals that align with FAIR data principles. By fostering a community-centric approach, Geoluminate contributes to the democratization of data management, enabling researchers to actively shape and enhance the landscape of those same portals they likely utilize in their own research.

Description: The understanding of the coupled thermo-hydro-mechanical behavior of fault zones in naturally fractured rocks is essential both for fundamental and applied sciences and in particular for the safety assessment of radioactive waste disposal facilities. An international research program called CHENILLE was built to address key questions related to the impact of high temperatures (up to 120°C) on shear zones as well as fault reactivation processes in shale formations. Here, we report on an ongoing thermally controlled in-situ fluid injection experiment on a strike-slip fault zone outcropping at IRSN’s Tournemire Underground Research Laboratory (URL). This includes a series of laboratory experiments to understand the mechanical, hydraulic, structural and thermal evolution occurring within the fault zones during the thermal and hydraulic loading. Reported preliminary results comprise acoustic emission activity and active seismic monitoring results, the thermal diffusion and the temperature evolution measured in-situ with DTS in and around the fault and the corresponding numerical thermal simulation of the experimental setup.

Description: Since its establishment in 1963, the International Heat Flow Commission (IHFC) has fostering and curating the Global Heat Flow Database (GHFDB). The dynamic nature of techniques and methodologies used in heat-flow density determination has necessitated regular updates to the database. Despite its widespread utility, the GHFDB faces challenges arising from variations in measurement techniques and data quality. Ongoing efforts are dedicated to overcoming these challenges, aiming to elevate the database's accuracy and reliability, thus solidifying its value within the scientific community. Multiple iterations of the GHFDB exist, primarily focused on characterizing the quality of individual heat-flow data points. However, the establishment of a new, authenticated GHFDB demanded the development of a fresh reporting standards for heat-flow data submitted to the IHFC. This new framework, derived from a collaborative global initiative, incorporates 62 metadata fields. This comprehensive approach became imperative due to the escalating volume of data and the diverse methodologies employed, necessitating a standardized scheme to evaluate the quality of heat-flow density determinations consistently. This update provides insights into the community-driven initiative initiated in 2021, targeting the reassessment of approximately 1,414 publications containing 73,033 global heat-flow data points. A noteworthy aspect of this initiative is the introduction of a novel quality scheme, unifying three independent criteria into a combined score. This score encompasses quantified uncertainty, methodological quality, and the status of overruling effects. The integration of these criteria facilitates a swift comparison of heat-flow data, instantly revealing any missing data or inadequately documented information. The introduction of this quality scheme empowers users to efficiently select reliable heat-flow values tailored to their specific research purposes.

Description: Methane (CH4) mitigation from anthropogenic sources such as in the production and transport of fossil fuels has been found as one of the most promising strategies to curb global warming in the near future. Satellite-based imaging spectrometers have demonstrated to be well-suited to detect and quantify these emissions at high spatial resolution, which allows the attribution of plumes to sources. The PRecursore IperSpettrale della Missione Applicativa (PRISMA) satellite mission (ASI, Italy) has been successfully used for this application, and the recently launched Environmental Mapping and Analysis Program (EnMAP) mission (DLR/GFZ, Potsdam, Germany) presents similar spatial and spectral characteristics (30-m spatial resolution, 30-km swath, about 8-nm spectral sampling at 2300 nm). In this work, we investigate the potential and limitations of EnMAP for CH4 remote sensing, using PRISMA as a benchmark to deduce its added value. We analyze the spectral and radiometric performance of EnMAP in the 2300-nm region used for CH4 retrievals acquired using the matched-filter method. Our results show that in arid areas, EnMAP spectral resolution is about 2.7 nm finer and the signal-to-noise ratio values are approximately twice as large, which leads to an improvement in retrieval performance. Several EnMAP examples of plumes from different sources around the world with flux rate values ranging from 1 to 20 t/h are illustrated. We show plumes from sectors such as onshore oil and gas (O&G) and coal mining, but also from more challenging sectors such as landfills and offshore O&G. We detect two plumes in a close-to-sunglint configuration dataset with unprecedented flux rates of about 1 t/h, which suggests that the detection limit in offshore areas can be considerably lower under favorable conditions.

Description: This dataset provides 37 CTD profiles measured on board of the German R/V Sonne (cruise SO269) in the northern South China Sea, under the project SOCLIS – South China Sea Natural Laboratory under Climatic and Anthropogenic Stress, in August and September 2019. The 37 profiles of temperature, salinity, dissolved oxygen, fluorescence, turbidity, surface irradiance (SPAR) and Photosynthetically active radiation (PAR), and sound velocity were measured using a CTD Sea-Bird SBE 911 plus, together with oxygen sensor (SBE 43), PAR sensor (Biospherical, QCP-2350 + QSR-2200), and a fluorometer (WET Labs ECO-FLNTU(RT)D). Additionally, dissolved oxygen, potential temperature and sigma-theta (with reference to the surface) were calculated. The 37 additional CTD files complement the physical oceanography dataset (Waniek et al., 2021).

Description: Ice rich Yedoma-dominated landscapes store considerable amounts of organic carbon (C) and nitrogen (N) and are vulnerable to degradation under climate warming. We investigate the C and N pools in two thermokarst-affected Yedoma landscapes - on Sobo-Sise Island and on Bykovsky Peninsula in the North of East Siberia. Soil cores up to three meters depth were collected along geomorphic gradients and analysed for organic C and N contents. A high vertical sampling density in the profiles allowed the calculation of C and N stocks for short soil column intervals and enhanced understanding of within-core parameter variability. Profile-level C and N stocks were scaled to the landscape level based on landform classifications from five-meter resolution, multispectral RapidEye satellite imagery. Mean landscape C and N storage in the first meter of soil for Sobo-Sise Island is estimated to be 20.2 kg C/m**-2 and 1.8 kg N/m**-2 and for Bykovsky Peninsula 25.9 kg C/m**-2 and 2.2 kg N/m**-2. Radiocarbon dating demonstrates the Holocene age of thermokarst basin deposits but also suggests the presence of thick Holocene aged cover layers which can reach up to two meters on top of intact Yedoma landforms. Reconstructed sedimentation rates of 0.10 mm/yr - 0.57 mm/yr suggest sustained mineral soil accumulation across all investigated landforms. Both Yedoma and thermokarst landforms are characterized by limited accumulation of organic soil layers (peat). We further estimate that an active layer deepening by about 100 cm will increase organic C availability in a seasonally thawed state in the two study areas by ~5.8 Tg (13.2 kg C/m**-2). Our study demonstrates the importance of increasing the number of C and N storage inventories in ice-rich Yedoma and thermokarst environments in order to account for high variability of permafrost and thermokarst environments in pan-permafrost soil C and N pool estimates.

Description: This dataset provides 131 CTD profiles measured on board of the German R/V Sonne (cruise SO269) in the northern South China Sea, under the project SOCLIS – South China Sea Natural Laboratory under Climatic and Anthropogenic Stress, in August and September 2019. The 131 profiles of temperature, salinity, dissolved oxygen, fluorescence, turbidity, surface irradiance (SPAR) and Photosynthetically active radiation (PAR), and sound velocity were measured using a CTD Sea-Bird SBE 911 plus, together with oxygen sensor (SBE 43), PAR sensor (Biospherical, QCP-2350 + QSR-2200), and a fluorometer (WET Labs ECO-FLNTU(RT)D). Additionally, oxygen saturation, potential temperature and sigma-theta (with reference to the surface) were calculated. The 131 CTD profiles are distributed by 81 stations and aim to study the impact of a growing anthropogenic pressure around the Pearl River Estuary into the northern shelf of the South China Sea towards the deep sea. The dataset was used to study the presence and spatial distribution of natural and synthetic estrogenic compounds and pharmaceutical and personal care products (PPCPs) in the Pearl River Estuary and northern shelf of the South China Sea.

Description: Multibeam bathymetry raw data using the ship's own Kongsberg EM 122 multibeam echosounder was not continuously recorded during RV SONNE cruise SO269. Data was recorded on 13 days between 2019-08-05 and 2019-08-28. This dataset contains a survey in the South China Sea. The approximate average depth of the entire dataset is around 2300m. The data are archived at the Federal Maritime and Hydrographic Agency of Germany (Bundesamt für Seeschifffahrt und Hydrographie, BSH) and provided to PANGAEA database for data curation and publication. Ancillary sound velocity profiles (SVP) files from the cruise are archived at the BSH, thus SVP files are added to this dataset. However, also data analysis of the multibeam raw data revealed that SVP has been changed during the survey. This publication is conducted within the efforts of the German Marine Research Alliance in the core area 'Data management and Digitalization' (Deutsche Allianz Meeresforschung, DAM). Data are unprocessed and therefore contains incorrect depth measurements (artifacts) without further processing. Note that refraction errors can be expected due to the lack of proper SVP. Overall, it appears that the data quality is rather good since the gridded hillshade data showed relatively few obstacles. Data can be processed e.g. with the open source software package MB-System (Caress, D. W., and D. N. Chayes, MB-System: Mapping the Seafloor, http://www.mbari.org/products/research-software/mb-system/, 2022).

Description: During the cruise POS432 on board the German R/V Poseidon, we collected water with a CTD SBE 11plus equipped with 14 Hydrobios free flow bottles of 10 L each in 15 stations (resulting in almost 100 samples) in the Madeira basin region, Northeast Atlantic. We aimed to study the physical and biogeochemical conditions of the water column along the 22°W meridian, north and south of the Azores Front, in May 2012. We measured concentrations of chlorophyll a, phaeopigments, suspended particulate material (SPM), and nutrients such as nitrate, nitrite, phosphate, and silicate.

Description: The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2021 by the PermaSense project. This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 154.1 million data points captured over the past decade. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. This data set provides primary data products as well as derived data products: GNSS raw data: GNSS observables in the form of daily RINEX 2.11 files GNSS derived data products: Daily positions computed using double-differencing GNSS processing Timelapse images: High-resolution visible light images Timeseries data raw: Per-year and location files or raw sampled data: Weather station, ground temperature, ground resistivity, fracture displacement and inclinometer data Timeseries derived data products: Cleaned and aggregated hourly values of the above Timeseries sanity plots: Standardized plots to obtain a visual overview and check data. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch. The version/tag used for the 2022 edition of the Matterhorn data is https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr/tree/matterhorn_data_2022.