ALBERT

Description: This dataset and code are related to artificial light emissions in the arctic area. They are a supplement to the report "Capabilities and limitations of advanced optical satellite missions for snow, vegetation, and artificial light source applications in Arctic areas".

Description: These data are supplementary material to Ziegler & Heidbach (2020) and present the results of a 3D geomechanical-numerical model of the stress state with quantified uncertainties. The average modelled stress state is provided for each of the six components of the full stress tensor. In addition, the associated standard deviation for each component is provided. The modelling approach uses a published lithological model and the used data is described in the publication Ziegler & Heidbach (2020). The reduced stress tensor is derived using the Tecplot Addon GeoStress (Stromeyer & Heidbach, 2017).The model results are provided in a comma-separated ascii file. Each line in the file represents one of the approx. 3 million finite elements that comprise the model.

Description: This dataset contains catchment average time series of five meteorological or hydrological parameters for 3872 hydrometric stations across Europe from 1960-2010. The parameters are: rainfall, soil moisture saturation, snowmelt, snow cover and convective conditions. All parameters have a daily resolution and were derived from a 0.11x0.11° reanalysis dataset. Daily averages were calculated from the pixels within each catchment, weighted by the fraction of pixel area that lies within the respective catchment. This dataset was originally created for the classification of floods by their generating process, but is also suitable for different hydrological studies.

Description: During the Egyptian 18th dynasty (c. 1550–1292 BC), cobalt ore was mined, processed and used as a colourant for glass, faience and blue-painted pottery. Co-coloured glass objects have a mid- to dark blue colour and were produced in order to imitate the semi-precious stone lapis lazuli. During this period, the glass objects were manufactured predominantly at two sites: Malqata (25°42'51.2"N 32°35'33.4"E) and Amarna (27°38'40.3"N 30°53'55.0"E). Major, minor and trace element concentration data from 38 blue glass objects from Amarna in the collection of Egyptian Museum and Papyrus Collection in Berlin are reported in this data publication. For comparison, glass objects from the same period and location, but of different colours (one red, two each of colourless, green and turquoise-blue glass) were analysed with the same method. These objects were originally brought to Berlin subsequent to the 1911–1914 excavations at Amarna carried out under the direction of Ludwig Borchardt on behalf of the Deutsche Orient-Gesellschaft. Unfortunately, most of these have by now lost their specific finds location. In addition, two recent samples of cobalt ore from the region of Ain Asil, near the Dakhla oasis (25°30'59.6"N 29°09'59.8"E), were included in the analysis.

Description: The dataset presents the electron density derived using the Neural-network-based Upper hybrid Resonance Determination (NURD) algorithm (Zhelavskaya et al., 2016) from plasma wave measurements made with the Van Allen Probes Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) (Kletzing et al., 2013). The method employs feedforward neural networks to derive the upper hybrid resonance frequency from the electric field measurements, and hence electron density, in an automated fashion. The dataset contains electron density for the period from October 1, 2012 to January 14, 2018 for RBSP-A and from October 1, 2012 to July 1, 2016 for RBSP-B (RBSP = Radiation Belt Storm Probes). For convenience, the density data are organized in two ways: in terms of orbits and in terms of days. Directories ../../Orbits_organization/ and ../../Days_organization/ contain files with densities per orbit and per day, respectively. Data are provided in .txt and .cdf formats. Data in .mat format are available at ftp://ftp.gfz-potsdam.de/home/rbm/NURD/. For more information on directory organization and files description, please refer to the associated data description and Zhelaskaya et al. (2016).

Description: The dataset is composed of AisaEAGLE airborne hyperspectral imagery data acquired during the AIRMETH2016 campaign on August 27th, 2016 within the Toolik Lake Natural Research Area on the Alaskan North Slope. The Toolik Lake Research Natural Area is representative of the North Slope physiographic province of the Southern Arctic Foothills (Walker et al., 1989). Dominant vegetation types are dictated by soil moisture and geology and include moist tussock tundra, wet sedge meadows, and dry upland heaths. The dataset includes three flight lines with 130 spectral bands ranging from VIS to NIR (451.7 – 897 nm) wavelength regions. The dataset also includes Level 2A EnMAP simulated imagery using the end-to-end Simulation tool (EeteS) with 78 bands from VIS to NIR (423 – 903 mn). The overall goal of the campaign was to acquire airborne imagery over the Toolik Vegetation grid encompassing 94 permanent 1 x 1 m vegetation plots where corresponding, comprehensive multi-seasonal spectral reflectance, photosynthetic pigment, and detailed species composition data exists. The remote sensing data are highly novel and can be used for vegetation mapping of species composition, plant biomass, and photosynthetic activity.

Description: This interactive webpage contains supplementary information for the publication by Kühn et al. 2020: "Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the Groningen gas field, the Netherlands, part 1: testing". It allows for an easy comparison between the various tests of inversion parameters and velocity models described for the analysis of the 11th of March 2017 Zeerijp ML 2.1 earthquake on the event induced in the Groningen gas field (Netherlands). Inversion runs collected here comprise the parameters employed for inversion (Problem Config), the inversion results and error estimates (Parameter Results) as well as a multitude of figures.

Description: Decades of photogrammetric records at Bezymianny, one of the most active volcanoes on Earth, allow unveiling morphological changes, eruption and intrusion dynamics, erosion, lava and tephra deposition processes. This data publication releases an almost 7-decade long record, retrieved from airborne, satellite, and UAV platforms. The Kamchatkan Institute of Volcanology and Seismology released archives of high-resolution aerial images acquired in 1967-2013. We complemented the aerial datasets with 2017 Pleiades tri-stereo satellite and UAV images. The images were processed using Erdas Imagine and Photomod software. Here we publish nine quality-controlled point clouds in LAS format referenced to the WGS84 (UTM zone 57N). By comparing the point clouds we were able to describe topographic changes and calculate volumetric differences, details of which were further analyzed in Shevchenko et al. (2020, https://doi.org/...). The ~5-decade-long photogrammetric record was achieved by 8 aerial and 1 satellite-UAV datasets. The 8 sets of near nadir aerial photographs acquired in 1967, 1968, 1976, 1977, 1982, 1994, 2006, and 2013 were taken with various photogrammetry cameras dedicated for topographic analysis, specifically the AFA 41-10 camera (1967, 1968, 1976, and 1977; focal length = 99.086 mm), the TAFA 10 camera (1982 and 1994; focal length = 99.120 mm), and the AFA TE-140 camera (2006 and 2013; focal length = 139.536 mm). These analog cameras have all an 18×18 cm frame size. The acquisition flight altitude above the mean surface of Bezymianny varied from 1,500-2,500 m above mean surface elevation, translating up to 〉5,000 m above sea level. For photogrammetric processing, we used 3-4 consecutive shots that provided a 60-70% forward overlap. The analog photo negatives were digitized by scanning with Epson Perfection V750 Pro scanner in a resolution of 2,400 pixels/inch (approx. pixel (px) size = 0.01 mm). The mean scale within a single photograph depends on the distance to the surface and corresponds on average to 1:10,000-1:20,000. Thus, each px in the scanned image represents about 10-20 cm resolution on the ground. The coordinates of 12 ground control points were derived from a Theo 010B theodolite dataset collected at geodetic benchmarks during a 1977 fieldwork. These benchmarks were established on the slopes of Bezymianny before the 1977 aerial survey and then captured with the AFA 41-10 aerial camera. The most recent was a satellite dataset acquired on 2017-09-09 by the PHR 1B sensor aboard the Pleiades satellite (AIRBUS Defence & Space) operated by the French space agency (CNES). The forward, nadir and backward camera configuration allows revisiting any point on earth and was tasked for the acquisition of Bezymianny to provide a 0.5 m resolution panchromatic imagery dataset. In order to improve the Pleiades data, we complemented them with UAV data collected on 2017-07-29 with DJI Mavic Pro during fieldwork at Bezymianny. This data publication includes a description of the data (in pdf format) and the nine processed and controlled three-dimensional point clouds (in LAS format). The point clouds can be easily interpolated and imported into most open and commercially available geographic information system (GIS) software. Further details on data and data handling are provided in Shevchenko et al. (2020).

Description: The Central Rift in Kenya (CRK) comprises the lakes Naivasha, Elementaita and Nakuru and the Longonot, Eburru and Menengai volcanos. The alkaline magmas, produced by the volcanoes within the CRK, lead to solid rocks likes trachytes, phonolites, and fewer basalts and accompanied soft rocks like ashes, tuffs, pumices and ignimbrites (e.g. Macdonald et al., 1987; Macdonald, 2014). Lacustrine sediments and beds of diatoms are remnants of former lake level variations caused by climate variability and topographic changes (e.g. Stoof-Leichsenring et al., 2011). The samples have been taken within the frame of a VW-Foundation funded project that tries to detect, map and monitor groundwater pollution from anthropogenic and natural sources. For a previous VW-Foundation funded project (grant 85465), also the groundwater fluoride enrichment in the CRK have been studied (Olaka et al., 2016).

Description: This data set includes digital image correlation data from thirteen analogue earthquakes generated by means of an analogue seismotectonic scale model approach. The data consists of grids of 3D static coseismic surface displacements. The data have been derived using a stereo camera setup and processed with LaVision Davis 8 software. Detailed descriptions of the experiments and results regarding the control of geodetic coverage on the slip inversion problem can be found in Kosari et al. (in review) to which this data set is supplementary material. We use an analogue seismotectonic scale model approach (Rosenau et al., 2017) to generate a catalogue of analogue megathrust earthquakes (Table 1). The presented experimental setup is modified from the 3D setup used in Rosenau et al. (2019). To monitor surface deformation of the wedge analogue model a stereoscopic set of two CCD cameras (LaVision Imager pro X 11MPx, 14 bit) monitors images the wedge surface continuously at 2.5 Hz. To derive observational data similar to those from geodetic techniques, i.e. velocities at the location on the surface, we use digital image correlation (DIC, Adam et al., 2005) to derive the 3D incremental surface displacement (or velocity) at high spatial resolution (〈 0.1 mm). The time series of incremental surface displacement data was calculated using LaVision Davis 8 software. The result is an evenly spaced grid of vectors per time step, oriented parallel with respect to the principal dimensions of the box.