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The amount of Municipal Solid Waste (MSW) in the EU28 reached 245 million tons in 2012. Nowadays, Europe directives for waste management are more restrictive each year (e.g Landfill Directive 1999/31/EC), but unfortunately, landfill disposal still represents 34% of total MSW generated. On the other hand, citizen awareness as well as the high fees operators pay for landfill disposal, have helped to greatly increase the percentage for recycling from 18% in 1995, to 42% in 2012. However, 40% of all the glass waste ends up in mixed MSW plants (which typically contain 7% of glass). Instead of being disposed of in selective-waste collection, it ends up in landfills or is composted/incinerated with the remnant waste. We have developed SEEGLASS, a high performance optical sorter based on computer vision and a pneumatic rejection system. Our aim is to solve this non-environmentally friendly problem, while also offering our end-users additional revenues with this recovered material, which is not being exploited now (49€/tn glass). In addition, extracting this glass, will allow the treatment plants to significantly reduce costs from waste disposal fees (50€/Tonne EU average and rising). Payback for customers is estimated in only 19 months. With this project we will (i) construct pre-conditioning process line, (ii) optimise our current SEEGLASS computer vision system as well as its mechanical and pneumatic design, to reach 80% glass recovery, with 99% purity, (iii) integrate both, the process line and the glass sorter solution into a demonstrator system, and (iv) validate its feasibility in-house with real MSW coming from different countries, as well as carry-out an 24/7 end-user validation. We, PICVISA, will be the first company to recover the glass fraction in refined MSW worldwide (the niche market exists worldwide) selling Turn-key installations or only SEEGLASS units, contributing to a disruptive change in the sector.
This data set includes the results of high-resolution digital image correlation (DIC) analysis and digital elevation models (DEM) applied to analogue modelling experiments (Table 1). Six generic analogue models are extended on top of a rubber sheet. In Series A, as extension velocity increases, the initial biaxial plane strain condition evolves into triaxial constrictional or intermediate strain. Models A1 and A2 are two-phase models and Model A3 is a three-phase model. Conversely, in Series B, as extension velocity decreases, the model starts with triaxial constrictional strain and ends up with biaxial plane or intermediate triaxial strain. Models B1and B2 are two-phase models and Model B3 is a three-phase model. Detailed descriptions of the experiments can be found in Liu et al. (2025) to which this data set is supplement. The data presented here are visualized as topography, the horizontal cumulative surface strain, and incremental profiles.
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.
Intercropping is the simultaneous growth of two or more crops in the same space for a significant part of their life cycle (Willey, 1979). In this context, samples from one farm experiments in the growing season 2015/2016 and 2016/2017, embedded in the cropping systems of one arable farm in the surrounding of Pisa, central-western part of Italy, were collected for analysis. The treatments were: PCW, a temporary intercropping system of wheat and persian clover, sown in paired rows; CONTROLSTRIP, unfertilized wheat as a sole crop, sown in paired rows.
This data publication provides data from 42 experiments from 2018 and 2019 in the Fragmentation Lab at the Ludwig-Maximilians University Munich (Germany). The experiments were taken out to analyse the influence of the water content and the initial temperature of the pre-experimental sample on the produced electrification in rapid decompression, shock-tube experiments. All samples used in this study are 90-300 μm loose ash samples from the lower Laacher See unit.To carry out this study, we have built up on previous studies by Cimarelli et al. (2014) and Gaudin & Cimarelli (2019b, dataset to be found in Gaudin & Cimarelli, 2019a). A sample of loose ash gets placed in an autoclave. In our study, we have added water in some experiments. Also, a furnace was often used to heat the sample to up to 320 °C. After both water addition and heating, the autoclave gets pressurized using argon gas. Once a target pressure of 9 MPa is reached, the experiment gets triggered by rupturing metal diaphragms, which rapid decompresses the sample and ejects it into a collector tank. This collector tank is made out of steel and electrically insulated from its surrounding, thus working as a Faraday cage (FC), which is able to detect the net charge within at any point during the experiment. We detect discharges on that net charge up to 10 ms after the ejection of the particles.This dataset contains:- an overview .xlsx file (ExperimentOverview) containing key information for the 42 experiments used for analysis in this study- raw .csv files for all experiments- .pdf files showing the key elements of the analysed experiments, incl. data from Faraday cage and pressure sensorsFor more information please refer to the data description and the associated publication (Stern et al., 2019).
This dataset provides friction data from ring-shear tests on quartz sand SIBELCO S80 used in analogue modelling of tectonic processes as a rock analogue for the earth’s upper crust (e.g., Klinkmüller et al., 2016). According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of quartz sand S80 are µP = 0.75, µD = 0.59, and µR = 0.69, respectively (Table 5). Cohesion of the material ranges between 0-80 Pa. The material shows no rate-dependency (<1% per ten-fold change in shear velocity v). The tested bulk material consists of quartz sand SIBELCO S80 with grain size of ~0.63-355 µm (D50 = 175 µm. Bulk and grain densities are 1300 kg/m³ and 2650 kg/m³, respectively and the hardness is 7 on Moh’s scale. S80 is sold e.g., by the company SIBELCO (sibelco.com).
This data publication includes standard rock magnetic data related to concentration, coercivity and magneto-mineralogy versus depth from twelve sediment cores recovered from the Arkhangelsky Ridge in the Southeastern Black Sea, German RV Maria S. Merian expedition MSM33 in 2013: MSM33-51-3, MSM33-52-1, MSM33-53-1, MSM33-54-3, MSM33-55-1, MSM33-56-1, MSM33-57-1, MSM33-60-1, MSM33-61-1, MSM33-62-2, MSM33-63-1, MSM33-64-1. The data are related to publications by Liu et al. (2018, 2019, 2020), Liu (2019) and Nowaczyk et al. (2012, 2013, 2018, 2021a, b). Sediment cores were recovered using gravitiy and piston corers. For paleo- and rock magnetic analyses clear plastic boxes of 20×20×15 mm were pressed into the split halves of the generally 1 m long sections of the sediment cores. Data are provided as 12 ASCII files (.dat, one for each core) with metadata header and are decribed in the associated data description file (pdf).
We have performed experiments on a basalt from the Main Ethiopian Rift (Ethiopia) to assess its pre-eruptive conditions in the magma chamber. The files contain all the analyses performed on the starting material (basalt) and the run products, both for the glass and mineral phases. Several experiments were carried out at temperatures between 1080°C and 975°C, mostly at 2 kbar and under reduced conditions (IHPV). The age spectrum of the basalt used (40Ar/39Ar) is also presented. Details are provided in the associated data description file.
These data are supplementary to the GJI research article of Blanke et al. 2020, in which static stress drop estimates of laboratory acoustic emission (AE) waveform records were analyzed. Stick-slip experiments were conducted on two triaxial loaded Westerly Granite samples of different roughness: 1) a smooth saw-cut fault (sample S12) and 2) a rough fault (sample W5). Both experiments resulted in six stick-slip failures of which five were analyzed for each fault. A variant of the spectral ratio technique was applied to find the best fitting source parameters. Laboratory Experiments: Acoustic emission waveform data of two triaxial stick-slip experiments was recorded at room temperature on cylindrical oven-dried Westerly Granite samples of 105-107 mm height and 40-50 mm diameter. The experiments were conducted on a smooth saw-cut (sample S12) and a rough fault (sample W5). Both experiments were performed in a servo-controlled MTS loading frame equipped with a pressure vessel. The acoustic emission activity was monitored by 16 piezoceramic transducers with a resonance frequency of about 2 MHz. A transient recording system (DAX-Box, Prökel, Germany) recorded full waveform data in triggered mode at a sampling frequency of 10 MHz and an amplitude resolution of 16 bits. The rough fault W5 was first prepared with Teflon-filled saw-cut notches at 30° inclination to the vertical axis and then fractured at 75 MPa. Then, each sample, S12 and W5, was subjected to constant confining pressure of 133 MPa and 150 MPa and then loaded in axial compression using a strain rate of 3*10-4 mm/s and 3*10-6 mm/s, respectively. Data description: The tables 2020-008_Blanke-et-al_S1_S12.txt and 2020-008_Blanke-et-al_S2_W5.txt contain AE locations and occurrence, and source parameter estimates of the smooth fault S12 and the rough fault W5, respectively. Both column headers show coordinates of AE locations (X, Y, Z [mm]), temporal occurrence (t [sec]), seismic moment (M0 [Nm]), corner frequency (f0 [Hz]), source radius (r [mm]), static stress drop (stress drop [MPa]), and moment magnitude (MW). M0 and f0 were estimated from the amplitude spectra, using the spectral ratio technique. The source radii were calculated for S-waves using the dynamic circular source model of Madariaga (1976). Static stress drops were estimated following Eshelby (1957). Both tables are used and displayed in Blanke et al. (2020).
This data set includes overviews and videos depicting the surface evolution (time-lapse photographs, topography data and digital image correlation [DIC] analysis) of 6 analogue models simulating rotational rift tectonics. In these experiments we examined the links between rotational rifting and different distributions of lithospheric weaknesses, and the evolution of the East African Rift System. All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). Detailed descriptions of the model set-up and results, as well as the monitoring techniques can be found in Zwaan et al. (2023).
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