ALBERT

Description: As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices.

Description: The Community Stress Drop Validation Study has been organized as a technical activity group (TAG) of SCEC (Southern California Earthquake Center) with the aim of investigating the source parameters of the 2019 Ridgecrest seismic sequence in California. Information about the stress drop TAG are available trough the benchmark web-page (https://www.scec.org/research/stress-drop-validation). Several groups applied different techniques to a shared data set with the objective of extracting source parameters (e.g. seismic moment and corner frequency) and in turn to estimate the stress drop. We applied a spectral decomposition approach known as generalized inversion technique (GIT) and the overall analyses are presented in a series of two articles (Bindi et al 2023a; Bindi et al 2023b). Results in the form of files, figures, and tables are disseminated through this archive.

Description: This dataset contains predictions of Earth orientation parameters (EOP) submitted during the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC). The 2nd EOP PCC has been carried out by Centrum Badań Kosmicznych Polskiej Akademii Nauk CBK PAN in Warsaw in cooperation with the GFZ German Research Centre for Geosciences in Potsdam (Germany) and under the auspices of the International Earth Rotation and Reference Systems Service (IERS) within the IERS Working Group on the 2nd EOP PCC. The purpose of the campaign was to re-assess the current capabilities of EOP forecasting and to find most reliable prediction approaches. The operational part of the campaign lasted between September 1, 2021 and December 28, 2022. Throughout the duration of the 2nd EOP PCC, registered campaign participants submitted forecasts for all EOP parameters, including dX, dY, dPsi, dEps (components of celestial pole offsets), polar motion, differences between universal time and coordinated universal time, and its time-derivative length-of-day change. These submissions were made to the EOP PCC Office every Wednesday before the 20:00 UTC deadline. The predictions were then evaluated once the geodetic final EOP observations from the forecasted period became available. Each participant could register more than one method, and each registered method was assigned an individual ID, which was used, e.g., for file naming. The dataset contains text files with predicted parameters as submitted by campaign participants and MATLAB file which is a database with all correct predictions from each participant loaded into a structure.

Description: This data publication presents quantitative DNA data obtained through fluorometric detection of genomic DNA and the estimation of 16S rRNA gene copies using quantitative Polymerase Chain Reaction (qPCR). The data encompasses various soil and rock samples collected across a climate gradient. The DNA was extracted using a protocol enabling the separate analysis of intracellular DNA (iDNA) and extracellular DNA (eDNA) from the same sample. The primary objective of this study was to enhance a previously established method developed by Alawi et al. (2014) for analyzing terrestrial samples by introducing modifications to the extraction buffer. Phosphate buffers at two different concentrations (120 mM and 300 mM), EDTA (300 mM), and a high-concentration phosphate buffer in combination with EDTA (300 mM each) were tested in conjunction with a detergent mix (detailed in Medina et al., 2023; submitted). Thorough tests, including spiked DNA experiments and cell counts, were conducted on one low biomass sample to validate the extraction setups. The two most effective extraction protocols were then applied to all samples from the four designated sites and compared with the phosphate buffer described by Alawi et al. (2014), resulting in the calculation of improvement factors. The resulting dataset provides valuable quantitative DNA information and estimates of 16S rRNA gene copies across diverse soil and rock samples along a climate gradient. The modifications made to the extraction buffer demonstrated improved efficiency in extracting especially iDNA compared to the original method. These findings contribute to the refinement and optimization of DNA extraction protocols for terrestrial samples, enabling more accurate and comprehensive analyses of microbial communities in different environments.

Description: GRACE monthly gravity field solutions starting from April 2002 to June 2017 up to degree and order 90 computed with the Celestial Mechanics Approach at AIUB. The time series is an updated of AIUB-RL02 GRACE monthly gravity field time series using Level-1B GRACE data and updated background models. The dataset is created within the framework of the G3P - Global Gravity-based Groundwater Product project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353.

Description: This data publication represents the main outcomes of WP1.200 of Individual Project IP1 and Deliverable D1.1 of the research unit NEROGRAV. The goal of WP1.200 was the realistic representation of modern ocean tide model uncertainties in the form of empirical Variance-Covariance Matrices (VCMs) for the utilization in satellite gravimetric dealiasing. In the following, we describe the data set generation and format. A more detailed description of the processing strategy of the data set can be found in Abrykosov et al. (2021).

Description: The dataset is an extended and updated version of the homogenized regional earthquake catalogue of the Marmara region, north-western Turkey, presented in Bohnhof et al. (2017) and Wollin et al. (2018). It is built on the regional Turkish seismicity catalogues provided by AFAD (Disaster and Emergency Management Presidency of Turkey) and KOERI (Kandilli Observatory and Earthquake Research Institute) and spans the time interval 2006-2020. All events available in these two catalogues in the wider Marmara region were combined and dublicate events removed. A total of 13812 events having at least 6 P- and/or S-picks were located using the NLLoc software (Lomax et al., 2000, 2009) in Octtree mode utilizing automatic picks (see Wollin et al., 2018 for details) for all available waveforms. The magnitude range is between M0.3 and M5.7 with time-variable magnitude of completeness and covers the area 39.70S-41.50S and 26.0E-30.65E. The full description of the data and methods is provided in the data description file.

Description: This dataset provides point-shapefiles and geotiffs, related to the figures presented in (Frick et al., 2022a, 2022b). It covers most of northern Germany, with the boundaries defined by the extent of the North German Basin, which is part of the Central European Basin System. The files contain information on the depth (m.b.s. = meter below surface), thickness, temperature, heat in place and heat storage potential of selected geological units and the formations therein. These data are an addendum to the data presented in (Frick et al., 2022a, 2022b), resolving 5 geological units and 9 formations. The data are presented as regularly spaced point-shapefiles, with a spacing of 1000 m. The data were produced as part of the Helmholtz Climate Initiative (HICAM), which focuses on Net Zero 2050 (mitigation) and Adapting to Extreme Events (adaptation). As part of this initiative, estimates of the heat in place and heat storage potential of the subsurface play an important part for mitigation of fossil fuel bound emissions as they pose a promising alternative (geothermal energy). The data presented here, therefore give an overview of areas which might be suited for geothermal applications in the different geothermal target units and formations. We integrated the recently published TUNB Model (BGR et al., 2021) as well as available borehole data, data from the Sandsteinfazies and GeoPoNDD projects (Franz et al., 2018, 2015) and temperature data from two models (Agemar et al., 2014; Frick et al., 2021) the process of which will be described in the following.

Description: IGMAS+ is a software combining 3-D forward and inverse modeling, interactive visualization and interdisciplinary interpretation of potential fields and their applications under geophysical and geological data constrains. The software has a long history starting 1988 and has seen continuous improvement since then with input by many contributors. Since 2019, IGMAS+ is maintained and developed at The Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences by the staff of Section 4.5 – Basin Modelling and Section 5.2 – eScience Centre with strong ongoing support by H.-J. Götze and S. Schmidt from CAU Kiel. The official webpage of IGMAS+ is available at https://www.gfz-potsdam.de/igmas. Each major version of IGMAS+ is assigned with a DOI. Intermediate releases including changelog can be found at https://git.gfz-potsdam.de/igmas/igmas-releases/-/releases/. This is a collection DOI referring to all versions of IGMAS+. Links to each published version are redundantly available via the "Files" section and the Related Work section ("includes").