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  • GFZ Data Services  (19)
  • 2020-2023  (19)
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  • 1
    Publication Date: 2022-03-21
    Description: 29 April 2020: Release of Version 0.3 This is an updated version of Reyer et al., (2019, V. 0.1.12, http://doi.org/10.5880/PIK.2019.008). All changes and updates are documented in the changelog available via the data download section. Current process-based vegetation models are complex scientific tools that require proper evaluation of the different processes included in the models to prove that the models can be used to integrate our understanding of forest ecosystems and project climate change impacts on forests. The PROFOUND database (PROFOUND DB) described here aims to bring together data from a wide range of data sources to evaluate vegetation models and simulate climate impacts at the forest stand scale. It has been designed to fulfill two objectives: - Allow for a thorough evaluation of complex, process-based vegetation models using multiple data streams covering a range of processes at different temporal scales - Allow for climate impact assessments by providing the latest climate scenario data. Therefore, the PROFOUND DB provides general a site description as well as soil, climate, CO2, Nitrogen deposition, tree-level, forest stand-level and remote sensing data for 9 forest stands spread throughout Europe. Moreover, for a subset of 5 sites, also time series of carbon fluxes, energy balances and soil water are available. The climate and nitrogen deposition data contains several datasets for the historic period and a wide range of future climate change scenarios following the Representative Emission Pathways (RCP2.6, RCP4.5, RCP6.0, RCP8.5). In addition, we also provide pre-industrial climate simulations that allow for model runs aimed at disentangling the contribution of climate change to observed forest productivity changes. The PROFOUND Database is available freely but we incite users to respect the data policies of the individual datasets as provided in the metadata of each data file. The database can also be accessed via the PROFOUND R-package, which provides basic functions to explore, plot and extract the data. The data (PROFOUND DB) are provided in two different versions (ProfoundData.sqlite download as ProfoundData.zip, ProfoundData_ASCII.zip) accompanied by a change-log to the previous published version (changelog_Profound-DB_v03.pdf), auxiliary data of reconstructed single tree data at the site Sorø (Soroe_DBH_H_AGE_20200428.zip) and documented by the three explanatory documents: (1) PROFOUNDdatabase.pdf: describes the structure, organisation and content of the PROFOUND DB. (2) PROFOUNDsites.pdf: displays the main data of the PROFOUND DB for each of the 9 forest sites in tables and plots. (3) ProfoundData.pdf: explains how to use the PROFOUND R-Package "ProfoundData" to access the PROFOUND DB and provides example scripts on how to apply it.
    Type: info:eu-repo/semantics/workingPaper
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  • 2
    Publication Date: 2022-01-28
    Description: DASF: Web is part of the Data Analytics Software Framework (DASF, https://git.geomar.de/digital-earth/dasf), developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de). It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/). DASF: Web collects all web components for the data analytics software framework DASF. It provides ready to use interactive data visualization components like time series charts, radar plots, stacked-parameter-relation (spr) and more, as well as a powerful map component for the visualization of spatio-temporal data. Moreover dasf-web includes the web bindings for the DASF RPC messaging protocol and therefore allows to connect any algorithm or method (e.g. via the dasf-messaging-python implementation) to the included data visualization components. Because of the component based architecture the integrated method could be deployed anywhere (e.g. close to the data it is processing), while the interactive data visualizations are executed on the local machine. dasf-web is implemented in Typescript and uses Vuejs/Vuetify, Openlayers and D3 as a technical basis.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 3
    Publication Date: 2022-01-20
    Description: Abstract
    Description: This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of boundary conditions on the evolution of analogue accretionary wedges affected by both tectonics and surface processes; the paper also focuses on the balance between tectonics and surface processes as a function of the boundary conditions applied. These boundary conditions are convergence velocity and basal slope (i.e., the tilting toward the foreland imposed prior the experimental run). The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. Here we present: •Pictures recording the evolution of the models. •GIFs showing time-lapses of models. •Raw DEMs of the models and Incision DEMs, used for extracting data later discusses in the paper.
    Description: Methods
    Description: We took digital images during the evolution of the experiments. These images are stored in the “2021-041_Reitano-et-al_Pictures_and_GIFs” folder. Digital Images The qualitative evolution of the analogue models has been recorded using a digital oblique-view camera (Canon EOS 200D). Digital pictures have not been modified with other imaging software. Data from models' surface Laser scan provides a point cloud, composed by x, y, z coordinated of the points composing the model surface (the number of points is function of the laser resolution). The laser scans are converted to raw DEMs, here stored in the “DEMs” folder. For making the file easily readable to GIS software, data are expressed in m (100 m = 1 mm, see scaling section in the main paper). Bottom left corner in the DEMs is randomly chosen to be -70 ∙ 103 m. No data values equal to -9999. Cell size is 100 m (1 mm in the models). Incision and Mass Balance The .txt files inside the “2021-041_Reitano-et-al_DEMs” folder named “CR****_dem**clip” has been used for producing Fig. 6, 8, 10, and S3 in Reitano et al. (2021). From these DEMs we calculated the Mass Balance, as described in the paper this repository refers to. The .txt files named “CR****_inc**ok” have been used for calculating the incision values shown in Fig. 5 and 7 in Reitano et al. (2021). To obtain incision maps and incision over time, the volume of material incised was computed by comparing the actual topography with the reconstructed non-eroded surface at every shortening step. The non-eroded surface has been calculated by creating an envelope surface using crest lines between valleys as constraints (the assumption is that crests do not erode). The results are then a minimum estimate of the amount of incision.
    Keywords: Tectonics ; Erosion ; Sedimentation ; Mass Balance ; Analogue models ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; analogue modelling results ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 FLOOD PLAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 RIVER ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 STREAM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 VALLEY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 WATERSHED/DRAINAGE BASINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 SEDIMENT TRANSPORT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 SEDIMENTATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 MOUNTAINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 OROGENIC MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 TECTONIC UPLIFT ; hydrosphere 〉 water (geographic) 〉 surface water ; science 〉 natural science 〉 earth science 〉 geology 〉 tectonics
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2022-09-09
    Description: Abstract
    Description: The melting relations of the CaCO3 MgCO3 system are investigated and trace element partition coefficient of Li, Na, K, Mn, Fe, Sr, Ba, Pb, Nb, Y and rare earth elements (REEs) between carbonates (Mg-calcite, Ca-magnesite) and dolomitic melt are established from high pressure (6 and 9 GPa) and temperature (1300 1800 ℃) experiments utilizing a rocking multi anvil press. We show that Ca Mg carbonates are stable within the subducting slab beyond ~300 km (9 GPa) but will (partial) melt beneath mid ocean ridges and in upwelling plumes. In contrast to previous studies, we report incongruent melting of carbonates producing a carbonate melt and periclase between 4 and 9 GPa. Partial melting of carbonates produces dolomitic melts whereby the trace element signature largely depends on the Ca/Mg-ratio of the bulk system. For instance, REE will be fractionated by two orders or magnitude between Ca magnesite and dolomitic melt. In contrast, melting of Ca rich carbonates will not lead to a significant REE fractionation. The here published data set includes all chemical analysis (major and trace elment composition) of run products and starting materials. From this data set we obtained the melting relations and partition coefficients reported in Sieber et al. (2020); Sieber et al. (under review).
    Type: Dataset , Dataset
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  • 5
    Publication Date: 2022-12-25
    Description: Abstract
    Description: The southern margin of the Barberton Greenstone Belt in Eswatini limits one of the world’s oldest well-preserved sedimentary and volcanic sequences, 3.57 to 3.2 Ga old. In a segment along that margin, older mafic and ultramafic volcanic rocks were thrust over the youngest strata (quartz-rich sandstones and conglomerates) before being folded and imbricated in thrust slices. Samples described in this publication comprise tabular data of (1) sample locations and crystallization ages of zircons which were extracted from thin tuffaceous units in the thrust sheet, (2) analytical data from laser ablation – inductively coupled plasma – mass spectrometry (LA-ICP-MS), supporting these ages, and (3) quantitative measurements of ductily deformed conglomerate clasts. Field data were collected 2012-2019; U-Pb analyses performed in 2020. The data presented here are the basis for geological maps and cross sections, and are visualized as concordia diagrams form part of in the related publication (Heubeck et al.. 2023).
    Keywords: Archean ; Barberton Greenstone Belt ; Malolotsha ; Moodies Group ; klippe ; Eswatini ; LA-ICP-MS ; U-Pb zircon dating ; zircon ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 AGE DETERMINATIONS ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL AGE DETERMINATIONS
    Type: Dataset , Dataset
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  • 6
    Publication Date: 2022-01-28
    Description: DASF: Progress API is part of the Data Analytics Software Framework (DASF, https://git.geomar.de/digital-earth/dasf), developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de). It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/). DASF: Progress API provides a light-weight tree-based structure to be sent via the DASF RPC messaging protocol. It's generic design supports deterministic as well as non-deterministic progress reports. While DASF: Messaging Python provides the necessary implementation to distribute the progress reports from the reporting backend modules, DASF: Web includes ready to use components to visualize the reported progress.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 7
    Publication Date: 2022-01-28
    Description: The success of scientific projects increasingly depends on using data analysis tools and data in distributed IT infrastructures. Scientists need to use appropriate data analysis tools and data, extract patterns from data using appropriate computational resources, and interpret the extracted patterns. Data analysis tools and data reside on different machines because the volume of the data often demands specific resources for their storage and processing, and data analysis tools usually require specific computational resources and run-time environments. The data analytics software framework DASF, developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de) and funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/), provides a framework for scientists to conduct data analysis in distributed environments. The data analytics software framework DASF supports scientists to conduct data analysis in distributed IT infrastructures by sharing data analysis tools and data. For this purpose, DASF defines a remote procedure call (RPC) messaging protocol that uses a central message broker instance. Scientists can augment their tools and data with this protocol to share them with others. DASF supports many programming languages and platforms since the implementation of the protocol uses WebSockets. It provides two ready-to-use language bindings for the messaging protocol, one for Python and one for the Typescript programming language. In order to share a python method or class, users add an annotation in front of it. In addition, users need to specify the connection parameters of the message broker. The central message broker approach allows the method and the client calling the method to actively establish a connection, which enables using methods deployed behind firewalls. DASF uses Apache Pulsar (https://pulsar.apache.org/) as its underlying message broker. The Typescript bindings are primarily used in conjunction with web frontend components, which are also included in the DASF-Web library. They are designed to attach directly to the data returned by the exposed RPC methods. This supports the development of highly exploratory data analysis tools. DASF also provides a progress reporting API that enables users to monitor long-running remote procedure calls. One application using the framework is the Digital Earth Flood Event Explorer (https://git.geomar.de/digital-earth/flood-event-explorer). The Digital Earth Flood Event Explorer integrates several exploratory data analysis tools and remote procedures deployed at various Helmholtz centers across Germany.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 8
    Publication Date: 2022-01-31
    Description: DASF: Messaging Python is part of the Data Analytics Software Framework (DASF, https://git.geomar.de/digital-earth/dasf), developed at the GFZ German Research Centre for Geosciences. It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/). DASF: Messaging Python is a RPC (remote procedure call) wrapper library for the python programming language. As part of the data analytics software framework DASF, it implements the DASF RPC messaging protocol. This message broker based RPC implementation supports the integration of algorithms and methods implemented in python in a distributed environment. It utilizes pydantic (https://pydantic-docs.helpmanual.io/) for data and model validation using python type annotations. Currently the implementation relies on Apache Pulsar (https://pulsar.apache.org/) as a central message broker instance.
    Language: English
    Type: info:eu-repo/semantics/other
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  • 9
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    GFZ Data Services
    Publication Date: 2022-03-27
    Description: Irpinia seismic Array is part of the DEnse mulTi-paramEtriC observations and 4D high resoluTion imaging (DETECT) project focused on the acquisition of a unique multiparametric dataset and fosters collaboration among various institutions. The University of Naples Federico II (UniNa) and the German Research Centre for Geosciences (GFZ) are leading this effort carried out in collaboration with various local institutions and supported by the local municipalities. The DETECT project aims at exploiting very dense seismic networks deployed across a segmented fault system (Irpinia and Pergola-Melandro) to foster the development of scientific integrated methodologies for monitoring and imaging the fault behavior during the inter-seismic phase. The Irpinia seismic Array consists of a dense constellation of seismic antennas using more than 200 seismic stations deployed for one year. Each seismic antenna, with maximum aperture of ~2 km, uses one broad-band sensor, one short period sensor with 1 Hz and 8 with 4.5 Hz natural frequency. The antennas are deployed above and near the fault segments that generated during the last centuries many strong earthquakes in the southern Apennines. Waveform data are available from the GEOFON data centre, under network code ZK.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 10
    Publication Date: 2022-06-28
    Description: Py4HIP is an open-source software tool for Heat-In-Place calculations implemented as a self-explanatory Jupyter notebook written in Python (Py4HIP.ipynb) Calculating the Heat In Place (HIP) is a standard method for assessing the geothermal potential for a defined geological unit (e.g., Nathenson, 1975; Muffler and Cataldi, 1978; Garg and Combs, 2015). The respective implementation in Py4HIP is based on a volumetric quantification of contained energy after Muffler and Cataldi (1978), where the geological unit at hand is considered spatially variable in terms of its temperature, thickness, porosity, density and volumetric heat capacity of its solid and fluid (brine) components. The energy values
    Language: English
    Type: info:eu-repo/semantics/other
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