cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1111
title: Data Dissertation Morschheuser Study I and Study III

description: Data of study I and study III of the dissertation "The Gamification of Crowdsourcing Systems: Empirical Investigations and Design" by Benedikt Morschheuser 2017: DOI: 10.5445/IR/1000074115
DOI: 10.35097/1218
title: Data Set Collection for Flow Delegation

description: This data set collection consists of 17 data sets used for the analytical / simulative evaluation of the flow delegation concept presented in "Flow Delegation: Flow Table Capacity Bottleneck Mitigation for Software-defined Networks". Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval.
description: The data set collection is a zip file that contains 17 sqlite database files that can be inspected with any sqlite capable database reader (such as https://sqlitebrowser.org/). The folder names in the unzipped file indicate the names of the data sets (from d20 to d5050). Each database consists of a single table called "statistics" that gives access to the scenario parameters and evaluation results. Each row in the table represents a single execution of the evaluation environment (i.e., one experiment). The columns starting with scenario are the parameters used for scenario / experiment generation. All other columns except for id and resultid (those two columns are not essential to the data set and can be ignored) refer to statistics gathered for one experiment. Columns starting with json contain a serialized json object and need to be de-serialized, e.g., by something like arr = json.loads(string) if python is used where string is the content from the column and arr is an array of floating point numbers. These columns contain time series data, i.e., the statistics were gathered for multiple time slots. Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval (plotters folder). The GitHub page also contains additional details about the data sets in this collection.
DOI: 10.35097/1306
title: Data Figure 2 and Figure 3

description: Data for figures 2 and 3 of the publication: "On suitability of phase-field and algebraic volume-of-fluid OpenFOAM® solvers for gas-liquid microfluidic applications" in the OriginPro Data format.
DOI: 10.35097/1248
title: Data and scripts for "Clouds, radiation and atmospheric circulation in the present-day climate and under climate change"

description: Data needed for the plots and analysis in the review paper. The scripts are provided here as tarball from https://github.com/aikovoigt/cloud-radiation-circulation-review, git commit 7f06022fe62b3025a090255816452c665914f1ce.
DOI: 10.35097/1521
title: Data and scripts for article Albern et al. 2021: "Tropical cloud-radiative changes contribute to robust climate change-induced jet exit strengthening over Europe during boreal winter", Environmental Research Letters

description: This data set contains the scripts and model output needed for the analysis in the paper. Included is output from the ICON, MPI-ESM and IPSL-CM5A models. The simulations were performed with the atmospheric components of the models and with prescribed sea surface temperatures (SSTs). They use a setup with present-day continents and greenhouse gas concentrations, and mimic global warming by a uniform 4K SST increase. The simulations apply the cloud-locking or cloud- and water vapor-locking methods to determine the impact of cloud-radiative changes on the circulation response to global warming. Further details about the simulations and the method can be found in - Albern et al. (2019, https://doi.org/10.1029/2018MS001592) - Voigt et al. (2019, https://doi.org/10.1175/JCLI-D-18-0810.1) and in the paper itself.
DOI: 10.35097/1543
title: Data for "In-situ diagnostics and role of light-induced forces in metal laser nanoprinting"

description: main manuscript, figures, and data underlying the plots
DOI: 10.35097/1767
title: Data for "Challenging Prevalent Solid Electrolyte Interphase (SEI) Models: An Atom Probe Tomography Study on a Commercial Graphite Electrode"

description: Lithium-ion batteries (LIBs) are the dominating energy storage technology for electric vehicles and portable electronic devices. Since the resources of raw materials for LIBs are limited and recycling technologies for LIBs are still under development, improvements in the long-term stability of LIBs are of paramount importance, and, in addition, would lead to a reduction in the levelized cost of storage (LCOS). A crucial limiting factor is the ageing of the solid electrolyte interphase (SEI) on the active material particles in the anode. Here, we demonstrate the potential of atom probe tomography for elucidating the complex mosaic-type structure of the SEI in a graphite composite anode. Our 3D reconstruction shows unseen details and reveals the existence of an apolar organic microphase pervading the SEI in its entire thickness. This finding is in stark contrast to the prevalent two-layer SEI model, in which organic compounds are the dominating species only in the outer SEI layer being in contact to the liquid electrolyte. The observed spatial arrangement of the apolar organic microphase promises a better understanding of the passivation capability of the SEI, which is necessary to expand battery lifetime.
description: List of used files *.csv composition_profiles.csv The file contains the underlying data for the atomic percentage plots in Figure S5. Listed are distance in z-direction and atomic percentages of Li, C, F, and O. mass_spectrum.csv contains the presented mass spectrum in Figure S1 detection_rate.csv detection rate observed during the APT run used for Figure S2 voltage_history.csv voltage observed during the APT run used for Figure S2 *.pos file contains the reconstructed data for the APT run *.rrng contains the mass identification used in the reconstruction *.rhit contains the raw data for the APT run
DOI: 10.35097/1178
title: Data from Figures and Tables from Umo et al. (2019), Atmos. Chem. Phys.

description: Umo_et_al_Table_1.csv is the data from Table 1: Sources, specific surface areas, pore volume,and the mediandiameter of coal fly ash aerosol particles used in this study. Umo_et_al_Table_2.csv is the data from Table 2: Information on the various ice nucleation experiments conductedduring two distinct AIDA measurement campaigns namedCAINIC01 and EXTRA18. Umo_et_al_Figure_7.csv is the data shown in Figure 7: Summary of the ice-activated fraction (%) of unprocessed and processed CFA_Cy, CFA_Mi, CFA_Ja, and CFA_Wh particles as a function of temperature. Umo_et_al_Figure_8.csv is the data shown in Figure 8: Comparison of the ice nucleation enhancement of CFA particles and other particles studied by Wagner et al. (2016).
DOI: 10.35097/1422
title: Data package from: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

description: Landscape-level prediction maps from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (IOJPRS). The prediction maps for the states of Germany will be constantly updated. Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.
DOI: 10.35097/1445
title: Data package v2: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

description: Updated version of the landscape-level prediction maps of standig deadwood from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (https://doi.org/10.1016/j.ophoto.2023.100034) The prediction maps are for the years 2018 to 2021 and for all federal states in Germany. Files are named according to ISO 3166-2 and year, respectively. Sentinel-2 timeseries were created using the FORCE "Framework for Operational Radiometric Correction for Environmental monitoring": Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124 (https://doi.org/10.3390/rs11091124)
DOI: 10.35097/1461
title: Data set for the research article "Particle shapes and infrared extinction spectra of nitric acid dihydrate crystals: Optical constants of the β-NAD modification" by Wagner et al. (2023) in Atmospheric Chemistry and Physics

description: The data file contains the table of the infrared refractive indices for the β-NAD modification. It has three columns. First column: Wavelength in micrometer. Second column: Real refractive index (n). Third column: Imaginary refractive index (k). The data file can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
DOI: 10.35097/1342
title: Data sets for the analysis of decomposition error in discrete-time open tandem queues

description: This data repository contains raw data for the analysis of decomposition error in discrete-time open tandem queues. The data is formatted for the computation and validation of point and interval estimates for decomposition error as well as for the analysis of decomposition error in bottleneck queues.
description: This data repository contains two folders: * *01 Equal Traffic Intensities* – Raw data for the analysis of decomposition error in tandem queues with equal traffic intensities, * *02 Bottleneck Analyses* – Raw data for the analysis of decomposition error in tandem queues with bottlenecks. The first folder contains a training data and a test data file. The second folder contains three files: * Data set with downstream bottleneck queues, * Data set with upstream bottleneck queues, * Data set with similar traffic intensities.
DOI: 10.35097/1501
title: Data sets for the research article "Heterogeneous ice nucleation ability of aerosol particles generated from Arctic sea surface microlayer and surface seawater samples at cirrus temperatures" by Wagner et al. (2021) in Atmospheric Chemistry and Physics

description: The data are provided as tables in the two subfolders “INSEKT.zip” and “AIDA.zip”, comprising the ice nucleation experiments with the INSEKT cold-stage instrument under mixed-phase cloud conditions and with the AIDA cloud chamber under cirrus conditions. The syntax of the file names and the contents of the tables are explained in the additional info files "info_INSEKT.pdf" and "info_AIDA.pdf", which are included in the respective subfolders. The tables with the ice nucleation data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter. The info files can be opened with Acrobat Reader.
DOI: 10.35097/1271
title: Data sets for the research article "High-resolution optical constants of crystalline ammonium nitrate for infrared remote sensing of the Asian Tropopause Aerosol Layer" by Wagner et al. (2021) in Atmospheric Measurement Techniques

description: The data comprise eleven tables containing low-temperature infrared refractive indices for crystalline ammonium nitrate. The syntax of the file names and the contents of the tables are explained in the additional text file "info.txt". The tables with the refractive index data can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. The data are separated by tabs as a delimiter.
DOI: 10.35097/1509
title: Data sets for the research article "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics" by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP)

description: This repository contains the datasets used in the study "Ice nucleation ability of ammonium sulfate aerosol particles internally mixed with secondary organics"by Bertozzi et al. (2021) in Atmospheric Chemistry and Physics (ACP). Metadata are stored as headers in each file.
DOI: 10.35097/1209
title: Data sets for the research article "Solid ammonium nitrate aerosols as efficient ice nucleating particles at cirrus temperatures" by Wagner et al. (2020) in the Journal of Geophysical Research (Atmospheres)

description: The data comprise four tables containing low-temperature infrared extinction spectra, temperature- and composition-dependent ice nucleation onsets, and ice nucleation active surface site densities of crystalline AN/AS particles. The tables are provided in ".txt" format and can be opened in standard text editors or imported in spreadsheet programs like Microsoft Excel. Each table contains a comprehensive header describing the contents of the individual columns. The data are separated by tabs as a delimiter.
DOI: 10.35097/1225
title: Data sets to research article by Möhler et al. “The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles”

description: The repository comprises data from ice nucleation experiments with the PINE instrument shown in the research article Möhler et al., The portable ice nucleation experiment PINE: a new online instrument for laboratory studies and automated long-term ﬁeld observations of ice-nucleating particles, Figures 3-12, A2, A3, A5, A6. The data is provided in csv format with a comma as delimiter. Each data sets contains either a corresponding readme file or a header describing the content of the data.
DOI: 10.35097/1406
title: Data supplement for the publication: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis

description: Supplementary data for the publication: Mohr, S., Ehret, U., Kunz, M., Ludwig, P., Caldas-Alvarez, A., Daniell, J. E., Ehmele, F., Feldmann, H., Franca, M. J., Gattke, C., Hundhausen, M., Knippertz, P., Küpfer, K., Mühr, B., Pinto, J. G., Quinting, J., Schäfer, A. M., Scheibel, M., Seidel, F., and Wisotzky, C.: A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe. Part 1: Event description and analysis, Nat. Hazards Earth Syst. Sci. Discuss. doi:10.5194/nhess-2022-137. 1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates. Further details can be found in the corresponding publication.
description: 1) Inundation_Area_July2022_RiverAhr (Shape-Format) The dataset includes the inundation areas along the river Ahr, which were derived using available data (Sentinel-1, Sentinel-2) and pictures/video sequences from media and social media channels in near-real-time (within a few days after the flood). 2) BackwardTrajectories_baseonERA5_LAGRANTO (txt-Format) The dataset includes the pathway of air masses in the form of 10-day kinematic backward trajectories using the Lagrangian Analysis Tool (LAGRANTO; Sprenger and Wernli, 2015) based on ERA5 with different start dates and the following parameters: Reference date = start date time = hours before starting date lon = latitude in °E lat = latitude in °N p = pressure in hPa Q = moisture in g/kg T = temperature in K RH = relative humidity in % TH = potential temperature in K BLH = boundary layer height in m Further details can be found in the corresponding publication.
DOI: 10.35097/1311
title: Data-Analysis Notebooks for the Thesis 'Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films'

description: Repository containing Jupyter Notebooks for data analyses for the thesis ***Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films*** by Lukas Grünewald.
DOI: 10.35097/1403
title: Database: From drag-reducing riblets to drag-increasing ridges

description: This database provides the datapoints for the publication "von Deyn, L. H., Gatti, D., & Frohnapfel, B. (2022). From drag-reducing riblets to drag-increasing ridges. Journal of Fluid Mechanics, 951, A16. Cambridge University Press".
description: -------------------------------------------------------------------------------- Database: From Drag-Reducing Riblets to Drag-Increasing Ridges -------------------------------------------------------------------------------- This database provides the measurement data presented in the journal article "From drag reducing riblets to drag increasing ridges" (doi:10.1017/jfm.2022.796). It features high-precision pressure measurements in a wind tunnel facility along the test section and the corresponding flow rate used to determine the skin friction drag change of ribelts and ridges. Datapoints for eight geometrically different sets of 2D trapezoidal groove geometries are included. Different orifice diameters are used to cover the bulk Reynolds number range $4500
DOI: 10.35097/1112
title: Dataset ASU_EU_Paper, Additional_Data_Collection_Effective_Use

description: Abbreviations for columns can be linked to the information in the dissertation document.
DOI: 10.35097/1195
title: Dataset accompanying "Engineering Top-Down Weight-Balanced Trees"

description: This data accompanies the paper "Engineering Top-Down Weight-Balanced Trees" at ALENEX 2020. The data set contains all experimental results as well as our real-world input data. See the file Readme.txt for details on the contained data as well as the file format.
DOI: 10.35097/1115
title: Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"

description: This data accompanies the Paper "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes".[0] The raw data which this data set is based on, is the HIPE dataset[1], which can be found at https://www.energystatusdata.kit.edu/hipe.php . In the accompanying publication, you can find an in-depth description of the data, how it was gathered, what types of machines were covered, etc. This data package contains: * The instances of the four test sets in [0]. These can be found in the subfolder "instances". The "PS_Nonuniform", "PS_Uniform", "PSG" and "OM" subfolders contain the 450 instances of each set, one instance per file. The file format is explained in the "file_format.{md, html, pdf}" files. * Information about our computational results as a SQLite3 database in the "results" subfolder. Information about the database structure can be found in the "db_structure.{md, html, pdf}" files. [0] Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, and Dorothea Wagner. 2018. How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes. In Proceedings of ACM eEnergy Conference (eEnergy’18). ACM, New York, NY, USA, 20 pages. (to appear) [1] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. (to appear)
DOI: 10.35097/1170
title: Dataset accompanying "Shaving Peaks by Augmenting the Dependency Graph"

description: This is the dataset accompanying the paper "Shaving Peaks by Augmenting the Dependency Graph" by Barth and Wagner The dataset contains a snapshot of the code used for publication. The code snapshot itself contains documentation on how to use it. Note that a more up-to-date version of the same code may be found at https://github.com/kit-algo/TCPSPSuite/ . The code in this data set should only be used if using the exact same software as for the original publication is desirable. In the paper, three instance sets, a small, a large and a "window" instance set are described. These are included here, too. A description of the data format is included within the documentation of the code.
DOI: 10.35097/1348
title: Dataset for "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels"

description: These files contain the data used for the preprint "The effect of spanwise heterogeneous surfaces on mixed convection in turbulent channels" by K. Schäfer, B. Frohnapfel and J. P. Mellado. The dataset contains the global quantities, 1d- and 2d profiles of all simulations in separate files. The python scripts "plot_global.py", "plot_1d_profiles.py" and "plot_2d_profiles.py" illustrate how to read the datasets and how to plot selected figures from the paper. References: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Kay Schäfer
DOI: 10.35097/1376
title: Dataset for Study of irregular roughness in minimal channels

description: Direct numerical simulation (DNS) is used to systematically investigate the applicability of minimal channel approach for the characterization of double-averaged velocity and temperature profiles in irregular rough surfaces. Roughness is generated mathematically using a random algorithm, in which the power spectrum (PS) and probability density function (PDF) of the surface height function can be prescribed. 12 different combinations of PS and PDF are examined at $Re_\tau$=500.
description: These files contain the data used in the publication: “Study of irregular roughness in minimal channels” J. Yang, A. Stroh, S. Jakirlic, B. Frohnapfel and P. Forooghi published in proceeding ETMM13 doi: 10.5445/IR/1000140429 Numerical Details: The carried out DNS is based on a pseudo-spectral solver for incompressible boundary layer flows developed at KTH/Stockholm. The Navier-Stokes equations are numerically integrated using the velocity-vorticity formulation by a spectral method with Fourier decomposition in the horizontal directions and Chebyshev discretization in the wall-normal direction. For temporal advancement, the convection and viscous terms are discretized using the 3rd order Runge-Kutta and Crank-Nicolson methods, respectively. The simulation domain represents an turbulent channel flow with periodic boundary conditions applied in streamwise and spanwise directions, while the wall-normal extension of the domain is bounded by no-slip and zero-temperature boundary conditions at the upper and lower domain wall. The flow is driven by a prescribed constant pressure gradient (CPG), a heat source term is added to the flow. The friction Reynolds number for the present case is fixed to Re_τ = 500. The structured surface is introduced through an immersed boundary method (IBM) based on the method proposed by Goldstein et al. (1993) and is essentially a proportional controller which imposes zero velocity in the solid region of the numerical domain. Data Files: The data files are saved and labeled in *.mat files. Each file contains MATLAB data consisting of the roughness height distribution and corresponding coordinates. The roughness structures are non-dimensionalized with the channel half height δ. The naming convention of the data in this database follows the JFM publication "DNS-based characterization of pseudo-random roughness in minimal channels" DOI: 10.1017/jfm.2022.33. Reference: Please provide a reference to the article above when using this data. Please direct questions regarding numerical setup/data to Jiasheng Yang (jiasheng.yang@kit.edu)