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21 to 30 of 89 Results
Nov 27, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon, 2018, "Perfusion quantification data for "Towards Quantitative Perfusion MRI of the Lung in COPD: The Problem of Short-Term Repeatability"", https://doi.org/10.11588/data/ZPEZPX, heiDATA, V1, UNF:6:SE0iKbhWdsMOrcUkd706AA== [fileUNF]
ABSTRACT Purpose 4D perfusion magnetic resonance imaging (MRI) with intravenous injection of contrast agent allows for a radiation-free assessment of regional lung function. It is therefore a valuable method to monitor response to treatment in patients with chronic obstructive pu...
Jun 16, 2014 - Statistical Natural Language Processing Group
Wäschle, Katharina; Riezler, Stefan, 2014, "PatTR: Patent Translation Resource", https://doi.org/10.11588/data/10002, heiDATA, V3
PatTR is a sentence-parallel corpus extracted from the MAREC patent collection. The current version contains more than 22 million German-English and 18 million French-English parallel sentences collected from all patent text sections as well as 5 million German-French sentence pa...
Sep 28, 2023 - Atmosphäre
Vardag, Sanam Noreen; Maiwald, Robert, 2023, "Optimising Urban Measurement Networks for CO2 Flux Estimation: A High-Resolution Observing System Simulation Experiment using GRAMM/GRAL [data]", https://doi.org/10.11588/data/NHIVDO, heiDATA, V1
The data set contains CO2 concentration fields at 2m height above ground in Heidelberg, Germany as simulated by the model GRAMM (v19.1)/GRAL(v.19.1). It can be used as input for Observing System Simulation Experiments (OSSE). The model GRAMM and a link to its documentation can be...
Sep 2, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael, 2019, "Opinion role extractor", https://doi.org/10.11588/data/3W7AQP, heiDATA, V1
System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text
Apr 26, 2024 - GIScience / Geoinformatics Research Group
Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1
OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...
Aug 18, 2021 - 3D Spatial Data Processing
Weiser, Hannah; Winiwarter, Lukas; Anders, Katharina; Fassnacht, Fabian Ewald; Höfle, Bernhard, 2021, "Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]", https://doi.org/10.11588/data/MZBO7T, heiDATA, V1
Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key...
Natcoop_Master.tabUnpublished
Jan 27, 2022 - NATCOOP dataset
Tabular Data - 2.2 MB - 456 Variables, 2564 Observations - UNF:6:UVJhm5Y0IPLA96HhBJ73Aw==
This file contains the data gathered during the 5 NATCOOP field surveys in a .dta format.
Jul 5, 2021 - NATCOOP
Diekert, Florian; Schaap, Robbert-Jan; Eymess, Tillmann, 2022, "NATCOOP dataset", https://doi.org/10.11588/data/GV8NBL, heiDATA, V1, UNF:6:3YvGZs4Tn05DRKwdxpNhwA== [fileUNF]
The NATCOOP project set out to study how nature shapes the preferences and incentives of economic agents and how this in turn affects common-pool resource management. Imagine a group of fishermen targeting a species that requires a lot of teamwork to harvest. Do these fishers bec...
Tabular Data - 226.9 KB - 40 Variables, 1453 Observations - UNF:5:JkjthKWUQF+SGftTh1TTyg==
Original SPSS file
Jul 11, 2023 - 3D Spatial Data Processing
Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.", https://doi.org/10.11588/data/A4KGYJ, heiDATA, V1
Characterization of micro-terrain features has been explored to detect convex and concave features in the terrain. The analysis of first and second derivatives of a function fitted to the terrain is a frequently used resource to describe terrain characteristics and to undertake G...
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