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SAFOD Main Hole downhole logging data phase 1.1
SAFOD
2007
SAFOD is motivated by the need to answer fundamental questions about the physical and chemical processes controlling faulting and earthquake generation within a major plate-bounding fault. SAFOD will drill and instrument an inclined borehole across the San Andreas Fault Zone to a depth of 3.2...
High temperature measurement of the saturation magnetisation for VER98-1-14
Demory, Francois | Oberhänsli, Hedi | Nowaczyk, Norbert | Gottschalk, Matthias | Wirth, Richard | Naumann, Rudolf
2006
It shows a loss of a part of the signal at temperatures between 350 and 400 °C, typical disintegration temperatures for greigite. The remaining signal disappears above a temperature of 590 °C, typical for magnetite.
Sand Triaxial Test Database: Drained monotonic triaxial compression tests on granular materials
Huan Wang
2026
This dataset is a curated database of drained monotonic triaxial compression tests on granular soils, compiled from published literature and open datasets into a single, uniform, machine-readable format. It covers 59 materials — 46 natural and industrial sands (including seven artificially...
Supporting data for: Core Testing Method to Assess Nonlinear Shear-Sliding Behaviour of Brick-Mortar Interfaces: A Comparative Experimental Study
Jafari, Samira | Esposito, Rita | Rots, J.G. (Jan)
2021
In this study, tests on cores and companion tests on triplets are compared with respect to the evaluation of the nonlinear shear-sliding behaviour of masonry, including the determination of post-peak softening response. Due to its slightly-destructive sampling nature and its good agreement with...
GeoDFN - A Flexible, Open-Source Software for Generating Geologically Consistent Discrete Fracture Networks
Kamel Targhi, Ellie | Bruna, Pierre-Olivier | Daniilidis, Alexandros | Rongier, Guillaume | Geiger, Sebastian
2024
GeoDFN is an open-source software that provides comprehensive control over fracture properties and allows us to explore how a broad range of geological uncertainties impact the geometry and connectivity of fracture networks. GeoDFN employs a hybrid approach, combining the advantages of...
Supplemental data for the paper: Diffusion of hydrophilic organic micropollutants in granular activated carbon with different pore sizes
Piai, Laura | Dykstra, J.E. (Jouke) | Adishakti, M.G. (Mahesa) | Blokland, M. (Marco) | Langenhoff, A. (Alette) | van der Wal, A. (Albert)
2021
Hydrophilic organic micropollutants are commonly detected in source water used for drinking water production. Effective technologies to remove these micropollutants from water include adsorption onto granular activated carbon in fixed-bed filters. The rate-determining step in adsorption using...
Petrel geological model of the Groningen gas field, the Netherlands
Nederlandse Aardolie Maatschappij (NAM)
2020
Geological model and data of the Groningen gas field, the Netherlands, developed by the Nederlandse Aardolie Maatschappij (NAM) and distributed by the Dutch research infrastructure of solid earth sciences, EPOS-NL. The static model helps geoscientists to develop stratigraphic and structural...
Pore pressure and accelerometer raw data from Maasmechelen experiment
Bolognin, Marco
2025
During a set of experiments for monitoring flowslides, a submerged slope failure was triggered by undercutting the slope toe with a suction dredger. The slide described in chapter 6.5 of the PhD thesis: 'Sand slope failures: experimental and numerical advances' is here recorded by the...
Data associated to the research on Titanite geochronology and thermometry
Farias, Pablo
2020
U-Pb geochronology and Zr-in-titanite thermometry on titanite from Argentina. The project is about understanding the tectonic evolution of the Cambrian-Ordovician Famatinian Orogen in NW Argentina. Titanite was used to date the time of metamorphism as well as the temperature associated with its...
Hybrid Machine Learning Models for Estimating Petroleum Hydrocarbon Concentration in Groundwater
Wu, Chen Lester | Wagterveld, R. Martijn | Rietveld, Luuk C. | van Breukelen, Boris M
2026
Jupyter notebook containing scripts for training and evaluating machine learning models including long short-term memory network and classical regression models for continuous monitoring of petroleum hydrocarbons in groundwater. The design of a hybrid Kalman filter was also included, as well as...