cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1382
title: 3D CT-Data for KK17/2-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1382/2
title: KK17-02-09.hdf5

description: 3D Voxelized volume
DOI: 10.5517/ccdc.csd.cc2gs7vc
title: CCDC 2287423: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs7xf
title: CCDC 2287425: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs84p
title: CCDC 2287432: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs85q
title: CCDC 2287433: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1391
title: 3D CT-Data for KK17/3-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1391/1
title: KK17-09-03.hdf5
DOI: 10.18419/darus-1391/2
title: KK17-03-09.hdf5

description: 3D Voxelized volume
DOI: 10.5517/ccdc.csd.cc2gs89v
title: CCDC 2287437: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs8cx
title: CCDC 2287439: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs8wf
title: CCDC 2287455: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs8xg
title: CCDC 2287456: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1445/5
title: Table 1.rar
DOI: 10.5517/ccdc.csd.cc2gsmgc
title: CCDC 2287783: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1445
title: Data for "A simplified approach for the metal-free polymerization of propylene oxide"

description: NMR and GPC raw data of the polyethers prepared in this study are provided via this dataset. The data is organized according to Tables (and specific Table entries) as found in the paper. The NMR raw data allows for calculation of the average block lengths. GPC data provides information about sample purity.
DOI: 10.18419/darus-1445/6
title: Table 2.rar
DOI: 10.18419/darus-1455/1
title: KK23-09.hdf5

description: 3D Voxelized volume
DOI: 10.5517/ccdc.csd.cc2jsw6f
title: CCDC 2347605: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1455
title: 3D CT-Data for KK23-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: gyro compass
DOI: 10.18419/darus-1455/2
title: KK23-09-upper-case.hdf5

description: 3D Voxelized volume
DOI: 10.5517/ccdc.csd.cc2jswjr
title: CCDC 2347615: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jswlt
title: CCDC 2347617: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1486/1
title: KH22-09.pdf
DOI: 10.18419/darus-1486/2
title: KH22-10.pdf
DOI: 10.18419/darus-1501/1
title: KK25-09.pdf
DOI: 10.18419/darus-1501/2
title: KK25-09.pdf
DOI: 10.18419/darus-472
title: 3D Cryo-FIB SEM - Mallomonas Dataset

description: Dataset of raw and image processed 3D Cryo-FIB SEM data recorded from Mallomonas cells.
DOI: 10.18419/darus-472/1
title: Hoerning_Mallomonas_RawData.tif

description: Dataset of unprocessed 3D Cryo-FIB SEM data recorded from Mallomonas cells.
DOI: 10.18419/darus-472/2
title: Hoerning_Mallomonas_ImageProcessed.tif

description: Dataset of image processed 3D Cryo-FIB SEM data recorded from Mallomonas cells.
DOI: 10.15468/dl.m9qk5h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 36",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003358-241107131044228/datasets/export for details.
DOI: 10.18419/darus-3282/1
title: Selection, Data Extraction, and Data Synthesis.ods

description: The data presented in OpenOffice format.
DOI: 10.18419/darus-3282
title: Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches

description: This document contains information about:
&lt;ul&gt;
&lt;li&gt;All the studies that were initially accepted for inclusion in the Multi-vocal Systematic Literature review.&lt;/li&gt;
&lt;li&gt;The studies that were rejected in the second phase and the reasons for their rejection.&lt;/li&gt;
&lt;li&gt;Filled out data extraction form for the finally-selected studies.&lt;/li&gt;
&lt;li&gt;The analysis of the extracted data by applying it to the CCSCI Classification Framework.&lt;/li&gt;
&lt;li&gt;The categorization of the finally-selected studies.&lt;/li&gt;
&lt;/ul&gt;
DOI: 10.18419/darus-3282/2
title: Selection, Data Extraction, and Data Synthesis.xlsx

description: The data presented in Microsoft Excel format.
DOI: 10.18419/darus-3330/1
title: kiemle2023a.tar.gz

description: Dumux code for isotopologue modelling
DOI: 10.18419/darus-3330
title: Dumux code for modelling stable water isotopologue transport within soils using fractionation parameterizations

description: &lt;p&gt;DuMux source code to reproduce the results presented in J. Schneider, S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of experimental and simulation data of evaporation-driven isotopic fractionation in unsaturated porous media. Vadose Zone Journal, e20363. &lt;/p&gt;

The contained application allows modeling stable water isotopologue transport and fractionation in soils. The application uses parameterization to describe the fractionation processes during soil water evaporation.
description: This application also requires installing some dune modules and the module dumux. The archive <b>kiemle2023a.tar.gz' </b> contains all relevant code in the correct version. For the instructions to build and execute the applications, one may check the Installation section in the <b>README.md</b>. Alternatively, consider directly accessing the git-repository: https://git.iws.uni-stuttgart.de/dumux-pub/kiemle2023a.
DOI: 10.18419/darus-3330/2
title: README.md
DOI: 10.18419/darus-3832/1
title: TWSA_H.nc

description: This NetCDF file contains time series data of hindcasted Total Water Storage Anomaly (TWSA_H) and its associated uncertainty from 1980 to the end of 2012 for major river basins worldwide. TWSA_H is derived through a combination of models, employing the Multivariate Linear Regression (MLR) approach. The Nash–Sutcliffe Efficiency (NSE) between GRACE and TWSA_H is also included. Additional basin details can be found in the "Basins.mat" mat file.
DOI: 10.18419/darus-3832
title: Data for: A probabilistic approach to characterizing drought using satellite gravimetry

description: In the recent past, the Gravity Recovery and Climate Experiment (GRACE) satellite mission and its successor GRACE Follow-On (GRACE-FO), have become invaluable tools for characterizing drought through measurements of Total Water Storage Anomaly (TWSA). However, the existing approaches have often overlooked the uncertainties in TWSA that stem from GRACE orbit configuration, background models, and intrinsic data errors. Here we introduce a fresh view on this problem which incorporates the uncertainties in the data: the Probabilistic Storage-based Drought Index (PSDI). Our method leverages Monte Carlo simulations to yield realistic realizations of the stochastic process of the TWSA time series. These realizations depict a range of plausible drought scenarios that later on are used to characterize drought. This approach provides probability for each drought category instead of selecting a single final category at each epoch. Since the GRACE record is short (less than 20 years), we have hindcasted the TWSA back to 1980. To this end, we have used a combination of three different groups of models, namely Land Surface Models (LSMs), Global Hydrological Models (GHMs), and global atmospheric reanalysis models to estimate TWSA for the pre-GRACE era, back to 1980. To combine models, we have used the Multivariate Linear Regression (MLR) method.
DOI: 10.18419/darus-3832/2
title: Basins.mat

description: Information on basin boundaries, along with their respective IDs and other pertinent attributes, is provided.
DOI: 10.5518/1296
title: IHAT Surface Modelling

description: These data are the .cif files for the fully optimized structures of adipate and tartrate adsorptions on ferrihydrite surfaces. The ‘wet’ surfaces have an explicit layer of water, and the ‘dry’ surfaces are without water. Prot, SemiProt and Unprot denote the protonation state of the ligand (i.e. fully protonated, semi-protonated or completely deprotonated).
DOI: 10.18419/darus-3839/1
title: README.md
DOI: 10.18419/darus-3839
title: Softwarepackage CCMOR2
title: Certified Coupled Model Order Reduction - part 2

description: &lt;p&gt; The dataset entails the code of the CCMOR2 package developed in Matlab. &lt;/p&gt;
&lt;p&gt;This project aims to model and perform certified model order reduction on multi-physical systems. The systems are formulated in the port-Hamiltonian framework which incorporates useful system theoretic properties such as stability and passivity.&lt;/p&gt;
&lt;p&gt;The approach is subvided into three parts:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Modeling of the multi-physical system in the port-Hamiltonian framework&lt;/li&gt;
&lt;li&gt;Reduce the high-dimensional system in a structure-preserving manner&lt;/li&gt;
&lt;li&gt;Certify the reduction by performing a-posteriori error analysis&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;We refer to the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=273356"&gt;README&lt;/a&gt; for further information on how to use this software.&lt;/p&gt;
DOI: 10.18419/darus-3839/2
title: CCMOR2.zip
DOI: 10.18419/darus-3972/1
title: Seminare Verknuepfung Fach mit Fachdidaktik.zip
DOI: 10.18419/darus-3972
title: Entwickelte Materialien zur Dissertation "On the Development of Activating Teaching Materials in Theoretical Physics"

description: This Dataset lists the developed materials and their background files of the dissertation "On the Development of Activating Teaching Materials in Theoretical Physics" by Philipp Scheiger.
The material is provided in PDF form, but their generation code and the graphics used are also available. In most cases this is latex code, but in some cases it is also vector graphics.
The material can be used or adapted by other lecturers for their own courses.
DOI: 10.18419/darus-3972/2
title: Anhaenge der Dissertation.zip
DOI: 10.18419/darus-3539/1
title: Geometry_Data.zip

description: This repository contains the geometry files of six developed segmentation methods applied to 16 floor plans and the geometry results of the respective nesting studies.
DOI: 10.18419/darus-3539
title: Floor Plate Segmentation Data

description: This repository contains the geometric results of six developed computational floor plate segmentation methods as applied to sixteen example floor plans. It includes the floor plate boundaries, column locations, and plate edges for each resulting segmentation, as well as the geometry results of their respective nesting studies. This data set offers geometric information from which quantitative values can be extracted for the comparison of these segmentation methods. This repository also contains the input files for the structural simulation in Sofistik 2020 of six developed segmentation methods applied to 16 Case Studies.
description: Rhino 3D, 7
description: SOFiSTiK, 2020
DOI: 10.18419/darus-3539/2
title: Simulation_Data.zip

description: This repository contains the input files for the structural simulation in Sofistik 2020 of six developed segmentation methods applied to 16 Case Studies.
DOI: 10.15468/dl.rm6mqv
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Membracidae"
 ]
}

 The dataset includes 227 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003359-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3542/2
title: deRSE19-Poster.pdf

description: Final Exported Version
DOI: 10.18419/darus-3542
title: Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol

description: &lt;p&gt;MegaMol is an open-source prototyping framework for the interactive visualization
of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. &lt;/p&gt;

&lt;p&gt;As outlined in the proposal, we planned to improve both the development and the user experience of MegaMol in several ways. We aimed to support the development as openly as possible, using as much (publicly) available infrastructure as possible, for both cost optimization and for reducing the impression that MegaMol is a tool for internal use exclusively. We also planned splitting off the stable, open portion of MegaMol from the parts of code used for work-in-progress publications. The second main goal is concerned with the user experience of MegaMol, starting with the simplification of the build and installation process. As the user interface can be overwhelming for end-users, we aimed at enabling a task-specific, targeted UI and easier manipulation of parameters, while still enabling complex analysis of datasets and dataset ensembles for domain-specific questions. Finally, we planned to reflect on the MegaMol project itself and make our findings publicly available. &lt;/p&gt;

&lt;p&gt;This poster was presented at the first conference for Research Software Engineers in Germany, the &lt;a href="https://de-rse.org/de/conf2019/"&gt;deRSE19 Conference&lt;/a&gt;. The conference was held at the Albert Einstein Science Park in Potsdam, Germany, June 4-6, 2019. Presenting the current status of this project during the poster session allowed us to discuss our experiences, plans, and goals for improving the sustainability of &lt;a href="https://megamol.org"&gt;MegaMol&lt;/a&gt;.&lt;/p&gt;
description: Microsoft PowerPoint, Microsoft Office Professional Plus 2016
DOI: 10.18419/darus-3542/1
title: deRSE19-Poster.pptx

description: Original Source
DOI: 10.18419/darus-3554/1
title: measured_data.tab