The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
Fachrichtung Geowissenschaften
This community is open access and publicly accessible.
Browse by
Sub-communities within this community
Anonymous users may not see all communities or collections. Please log in to see your accessible communities and colletions.
Recent Submissions
-
Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021
(Technische Universität Dresden, 2024)This dataset provides 898 manually delineated glacier calving front positions of 23 Greenland glaciers, two glaciers at the Antarctic Peninsula, one glacier in Svalbard and one glacier in Patagonia from 2013 to 2021. For ... -
Terminus area change of 17 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning
(Technische Universität Dresden, 2023)Glacier terminus area changes are derived using the rectilinear box method applied to time series of glacier calving front locations. Terminus changes are provided in text file and image format. The following glaciers are ... -
Historical Greenland glacier calving front locations from 1973 until 2013
(Technische Universität Dresden, 2023)This product contains 170 Greenland glacier calving front positions from the following glaciers: Hagen Bræ, Helheim Glacier, Kangiata Nunaata Sermia, Nioghalvfjerdsbræ, Tracy Glacier and Zachariae Isstrøm. The glacier ... -
Supplementary materials for the publication "Generative text-to-image diffusion for map creation based on geosocial media data."
(Technische Universität DresdenInstitut für Kartographie, 2023)Supporting Information for the publication "Generative text-to-image diffusion for map creation based on geosocial media data"(Release v1.0.0). Updates from the peer review process may not be reflected in this submission. ... -
Supplementary materials for the publication "Event inventories: Estimating the temporality of landscape scenic resources from user-contributed geodata."
(Technische Universität Dresden, 2023)Supporting Information for the conference publication > Event inventories: Estimating the temporality of landscape scenic resources from user-contributed geodata. Updates may have been made since submission to Opara. ... -
Data product of Greenland glacier calving front locations delineated by deep learning, 2013 to 2021
(Technische Universität Dresden, 2023)Glacier calving front positions are derived by applying a deep learning method to multispectral Landsat-8 imagery. The product contains 9243 calving front positions across 23 Greenland outlet glaciers from March 2013 to ... -
Supplementary materials for the publication "From sunrise to sunset: Exploring landscape preference through global reactions to ephemeral events captured in georeferenced social media"
(Technische Universität Dresden, 2023)Events profoundly influence human-environment interactions. Through repetition, some events manifest and amplify collective behavioral traits, which significantly affects landscapes and their use, meaning, and value. ... -
Sensitivity kernels for four different methods of Greenland Ice Sheet mass change estimation from GRACE Level-2 satellite gravimetry data
(Technische Universität Dresden, 2023)Supplementary material to the manuscript: Döhne, T., Horwath, M., Groh, A. and Buchta, E. (2023) 'The sensitivity kernel perspective on GRACE mass change estimates', Journal of Geodesy. The data set comprises sensitivity ... -
Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learning
(Technische Universität Dresden, 2022)Supplementary material to the manuscript: Loebel, E., Scheinert, M., Horwath, M., Heidler, K., Christmann, J., Phan, L., Humbert, A., Zhu, X. (2022): Extracting glacier calving fronts by deep learning: the benefit of ... -
MatLab Code to simulate an Underwater Laser Triangulation System
(Hannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)This is the MatLab Code of the Simulation Tool. Open the script simulation.m and run it with MatLab. By editing the input parameter (for exaple orientation and positon of camera, laser, interfaces and ground), you will get ... -
Measurement Images of an Underwater Laser Triangulation Sensor
(Technische Universität DresdenHannes Sardemann, Professur für Photogrammetrie, Fakultät Umweltwissenschaften, Technische Universität Dresden, 2022)Measurement images of an underwater laser triangulation experiment. A wreck model was scanned with the triangulation sensor. -
meinGrün Supplementary Materials for mCloud
(Technische Universität DresdenAlexander Dunkel, Madalina Gugulica, 2021)This collection includes Supplementary Materials from the IfK results for meinGrün, made available on mCloud: 1. Metadata Dresden dataset 2. Metadata Heidelberg dataset 3. Use Case Web Portal Heatmap "Großer Garten" -
Privacy-aware visualization of volunteered geographic information (VGI) to analyze spatial activity: A benchmark implementation
(Technische Universität Dresden, 2020)Supplementary Materials (release v0.1.0) -
Test of the minimum zircon sample size for U-Pb-dating of aeolian Quaternary sediments
(Technische Universität DresdenSenckenberg Naturhistorische Sammlungen Dresden, 2020)This dataset contains the results of the U-Pb dating of 2300 detrital zircons from the south west US (Utah, Nevada). The zircons are collected from Quaternary slope deposits between 2014 and 2018 and are measured with a ... -
GNSS observations of Huawei P30 and a local reference station in RINEX format
(Technische Universität Dresden, 2020)The archive contains GNSS observations in RINEX format: of a smartphone Huawei P30, of a local reference station. They were collected in 8 static observation sessions with an overall duration of 77 h. -
GNSS observations of Huawei P30: raw data from GNSSLogger
(Technische Universität Dresden, 2020)The archive contains GNSS observations of a smartphone Huawei P30. They were collected in 8 static observation sessions with an overall duration of 77 h. These raw data sets were written by GNSSLogger.
RSS 1.0