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Dieses Projekt erforscht, wie die Bereitstellung von Infrastrukturen sowie der einhergehende Landnutzungswandel durch unterschiedliche Zukunftsvisionen und Future-Making-Praktiken strukturiert werden. Es analysiert (1) die institutionellen Kontexte großskaliger erneuerbarer Energieinfrastrukturen im kenianischen Rift Valley, (2) die Planungs- und Umsetzungsprozesse sowie damit verbundene sozial-ökologische Transformationen, (3) die Akteurs-, Governance-und Konfliktkonstellationen, v.a. mit Fokus auf Investor-Community-Beziehungen.
In this dataset we provide data for 6 experimental models of caldera collapse and subsequent resurgence monitored through geophysical sensors (a force or “impact sensor”, Piezotronics PCB 104 200B02 and a Triaxial piezoelectric accelerometer, Model 356B18). The analogue modelling experiments were carried out at the TOOLab (Tectonic Modelling Laboratory), which is a joint laboratory between the Istituto di Geoscienze e Georisorse of the Consiglio Nazionale delle Ricerche, Italy and the Department of Earth Sciences of the University of Florence. The laboratory work that produced these data was partly supported by the European Plate Observing System (EPOS), by the Joint Research Unit (JRU) EPOS Italia and by the “Monitoring Earth's Evolution and Tectonics” (MEET) project (NextGenerationEU). Specifically, this work was performed in the frame of the DynamiCal project, funded by the 2° TNA-NOA call of the ILGE-MEET project.
Dieses Projekt untersucht, wie Luo-Migranten aus Westkenia den Maßstab ihres Handelns durch ergebnisoffenes Umherstreifen und zielorientiertes Infrastrukturieren im Rift Valley neu definieren, um an gross-skalige Intensivierungsprojekte Anschluss zu finden. Um zu erforschen, wie Luo-Migranten zwischen Zonen der Intensivierung, der Konservierung und des Zerfalls ihre Zukunft ausbilden und gestalten, liegt der Fokus der Forschung auf a) Lohnarbeit in multinationalen Firmen, b) agrikultureller Nutzbarmachung angemieteter Landflächen und c) Fischfang und Tourismus im Rift Valley.
Das Projekt untersucht, inwiefern Informations- und Kommunikationstechnologien (IKT) eine zentrale Rolle für zukunftsorientiertes Handelns im ländlichen Afrika spielen. Anhand mobiler Informationsdienste für Landwirte im Rift Valley (Kenia) und Kilombero-Tal (Tansania) werden die mit IKT in Verbindung gebrachten Entwicklungsvisionen historisch eingeordnet, die Übersetzung zukunftsbezogenen Wissens in konkrete Handlungsoptionen nachvollzogen und untersucht, wie diese Dienste tatsächlich lokale landwirtschaftliche Praktiken anleiten und somit zu sozial-ökologischer Transformation beitragen.
This dataset compiles quantitative outputs from eight sandbox experiments conducted under different boundary conditions (differential extension, strong blocks, and a weak zone). It contains 3-D scanning–derived digital elevation models (DEMs) from the final stage of experiments simulating the V-shaped opening of the South China Sea. In addition, it includes particle image velocimetry (PIV) products at four extension states (25 mm, 50 mm, 75 mm, and 100 mm), together with the plotting codes used to generate the figures.
This data set includes results from a total of 13 analogue tectonic models aimed at simulating the activation of tectonic lineaments associated with the Main Ethiopian Rift in eastern Africa. We use a model set-up based on previous work by Zwaan et al. (2021, 2022). This set-up involves a velocity discontinuity (VD, i.e., the edge of a mobile base plate) to induce extension in the overlying brittle- and viscous model materials representing the upper and lower crust, respectively. Additional structural weaknesses (seeds) at the base of the brittle layer serve to represent activated tectonic weaknesses in nature. Model parameters (different VD and seed orientation, and different seed diameters) are summarized in Table 1. The model results presented in this data publication are obtained through Digital Image Correlation (DIC) and Structure-from-Motion (SfM) analyses. A more detailed description of model set-up, model results, and their interpretation can be found in Zwaan et al. (2025)
In this dataset we provide top-view photos and perspective photos (to create topographic data, i.e. Digital Elevation Models, DEMs) documenting analogue model deformation. For more details on modelling setup, experimental series Wang et al. (2021), to which this dataset is supplementary material. For details on analogue materials refer to Del Ventisette et al., 2019, Maestrelli et al. (2020). The analogue modelling experiments were carried out at the TOOLab (Tectonic Modelling Laboratory) of the Institute of Geosciences and Earth Resources of the National Research Council of Italy, Italy, and the Department of Earth Sciences of the University of Florence. The laboratory work that produced these data was supported by the European Plate Observing System (EPOS) and by the Joint Research Unit (JRU) EPOS Italia. Additional analysis, following the original work, was supported by the “Monitoring Earth’s Evolution and Tectonics” (MEET) project
This data set includes the results of high-resolution digital elevation models (DEM) and digital image correlation (DIC) analysis applied to analogue modelling experiments. Twenty generic analogue models are extended on top of a rubber sheet. Two benchmark experiments are also reported. Detailed descriptions of the experiments can be found in Liu et al. (submitted) to which this data set is supplement. The data presented here are visualized as topography and the horizontal cumulative surface strain (principal strain and slip rake).
This data set includes videos depicting the surface evolution (time-lapse photography, topography data and Digital Image Correlation [DIC] analysis) of 11 analogue models, divided in three model series (A, B and C), simulating rifting and subsequent inversion tectonics. In these models we test how orthogonal or oblique extension, followed by either orthogonal or oblique compression, as well as syn-rift sedimentation, influenced the reactivation of rift structures and the development of new inversion structures. We compare these models with an intracontinental inverted basin in NE Brazil (Araripe Basin). All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). We used an experimental set-up involving two long mobile sidewalls, two rubber sidewalls (fixed between the mobile walls, closing the short model ends), and a mobile and a fixed base plate. We positioned a 5 cm high block consisting of an intercalation of foam (1 cm thick) and Plexiglas (0.5 cm thick) bars on the top of the base plates. Then we added layers of viscous and brittle analogue materials representing the ductile and brittle lower and upper crust in our experiments, which were 3 cm and 6 cm thick, respectively. A seed made of the same viscous material was positioned at the base of the brittle layer, in order to localize the formation of an initial graben in our models. The standard model deformation rate was 20 mm/h, over a duration of 2 hours for a total of 40 mm of divergence, followed by 2 hours of convergence at the same rate (except for Models B3 and C3, since the oblique rifting did not create space for 40 mm of orthogonal inversion). For syn-rift sedimentation, we applied an intercalation of feldspar and quartz sand in the graben. Model parameters and detailed description of model set-up are summarized in Table 1, and results and their interpretation can be found in Richetti et al. (2023).
This data set includes the results of digital image correlation analysis applied to analogue modelling experiments (Table 1) on the effect of weakness during distributed crustal extension performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. Ten generic analogue models made of a layer of Quartz sand (G12, Rosenau et al., 2018) including a weak silicone oil “seed” (PDMS G30M, Rudolf et al., 2016) to localize deformation have been extended on top of a basal foam block. A benchmark experiment (basal foam only) and a reference model (layer of sand without seed) are also reported. Detailed descriptions of the experiments can be found in Osagiede et al. (2021) to which this data set is supplement. The models have been monitored by means of digital image correlation (DIC) analysis (Adam et al., 2005). DIC analysis yields quantitative information about model surface deformation in 2D and 3D. The data presented here are visualized as finite strain and displacement maps as well as cumulative strain and displacement profiles.
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