cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/561
title: Simulated and observed BVOC exchange, GPP and biomass from maize, oil-seed rape and ryegrass
title: Data Repository of the JAMES article on "Modelling intra- and interannual variability of BVOC emissions from maize, oil-seed rape and ryegrass"

description: BVOCs vary widely among different crops, an aspect that has been largely neglected in emission inventories. In particular, bioenergy-related species can emit mixtures of highly reactive compounds that have received little attention so far. For such species, long-term field observations of BVOC exchange from relevant crops covering different phenological phases are scarcely available. Therefore, we measured and modelled the emission of three prominent European bioenergy crops (maize, ryegrass, and oil-seed rape) for full rotations in north-eastern Germany. Using a proton transfer reaction–mass spectrometer combined with automatically-moving large canopy chambers, we were able to quantify the characteristic seasonal BVOC flux dynamics of each crop species. The measured BVOC fluxes were used to parameterize and evaluate the BVOC emission module (JJv) of the physiology-oriented LandscapeDNDC model, which was enhanced to cover de novo emissions as well as those from plant storage pools. Parameters are defined for each compound individually. The model is used for simulating total compound-specific reactivity over several years and also to evaluate the importance of these emissions for air chemistry. We can demonstrate substantial differences between the investigated crops with oil-seed rape having 37-fold higher total annual emissions than maize. However, due to a higher chemical reactivity of the emitted blend in maize, potential impacts on atmospheric OH-chemistry are only 6-fold higher.
description: BVOCs: PTR-QMS 500 (Inonicon Analytik GmbH, Innsbruck, Austria)
description: CO2: LI-840 gas analyzer (LICOR Bioscience, Lincoln, Nebraska, USA)
description: Ambient Air
description: CO2: April 2015 to September 2017
description: BVOCs: 24. July 2015 to 16. September 2015; 09. April 2016 to 20.MAy 2016; 09. June 2017 to 29. June 2017
description: Field experiment
description: 2015: Zea mays L.; 2016: Brassica napus L.; 2017: Lolium multiflorum L.
DOI: 10.35097/1751
title: Water quality and greenhouse gas (GHG) concentration data from streams and rivers in the tropical Mara basin

description: The dataset contains yearlong monthly measurements (January 2019 to Febuary 2020) of water quality parameters, CO2, CH4 and N2O concentrations from 59 stream sites within the Kenyan part of the Mara River basin. The study sites covered various upstream land uses (croplands, savanah grasslands and forests) as well as stream orders (1-8). Measurements were mostly done during the day between 8.00 am and 5.00pm.
DOI: 10.35097/1684
title: Water quality and greenhouse gas (GHG) concentration data for temperate headwater streams in Germany

description: The dataset contains yearlong monthly measurements (June 2020 to April 2022) of water quality parameters, CO2, CH4 and N2O concentrations from 23 streams, 3 drainage ditches and 2 wastewater effluent sites within within the Loisach, Schwingbach and Neckar catchments in Germany. The study sites covered various upstream land uses (croplands, wetlands, grasslands, settlements and forests) as well as stream orders (1-6). Measurements were mostly done during the day between 8.00 am and 5.00pm.
DOI: 10.35097/879
title: ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 2/3)
DOI: 10.35097/880
title: ICON-ART data: Dispersion and Aging of Volcanic Aerosols after the La Soufrière Eruption in April 2021 (Part 3/3)
DOI: 10.35097/1810
title: Simulation results for Gasch et al., 2023, AMT: Advancing airborne Doppler lidar wind profiling in turbulent boundary layer flow – an LES-based optimization of traditional scanning-beam versus novel fixed-beam measurement systems

description: The files contain the data presented in Gasch et al., 2023, which are obtained from ADL simulations described there. Further information on the data can be found in the document 'AMT_2023_Gasch_et_al_documentation.pdf'
DOI: 10.35097/1691
title: A Fully Inkjet-Printed Unipolar Metal Oxide Memristor for Nonvolatile Memory in Printed Electronics
DOI: 10.35097/482
title: Channel Geometry Scaling Effect in Printed Inorganic Electrolyte-Gated Transistors
DOI: 10.35097/479
title: EDL - Low-frequency Noise Characteristics of Inkjet-Printed Electrolyte-gated Thin-Film Transistors
DOI: 10.35097/939
title: Fully Printed Electrolyte-Gated Transistor Formed in a 3D Polymer Reservoir with Laser Scribed Drain/Source Electrodes - data
DOI: 10.35097/487
title: Inkjet-printed bipolar resistive switching device based on AgZnOAu structure
DOI: 10.35097/1693
title: Inkjet-printed tungsten oxide memristor displaying non-volatile memory and neuromorphic properties
DOI: 10.35097/1748
title: Logic_gates_2Horison
DOI: 10.35097/954
title: Wetting behaviour of ink jet printed electronic inks on patterned substartes
DOI: 10.35097/676
title: Benchmark Instances for the Solar Farm Cable Layout Problem

description: These synthetic benchmark instances can be used to evaluate algorithmic approaches to the Solar Farm Cable Layout Problem. For more details, refer to the Readme file.
description: Dominik Stampa's Master's thesis can be found at https://i11www.iti.kit.edu/_media/teaching/theses/ma-stampa-22.pdf. The link to the paper which is based on the thesis will be inserted later.
DOI: 10.35097/683
title: Solar Farm Cable Layout Optimization as a Graph Problem (MILP results)

description: This package provides the results of the Mixed-Integer Linear Programm simulations used in the evaluation section of the paper "Solar Farm Cable Layout Optimization as a Graph Problem".
DOI: 10.35097/896
title: Wind Farm Data Supplement for 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources'

description: This package provides the data used for the evaluation of various algorithms for the Wind Farm Cabling Problem in the doctoral thesis 'Cable Layout Optimization Problems in the Context of Renewable Energy Sources' by Sascha Gritzbach. For further information refer to the Readme file.
DOI: 10.35097/449
title: Dataset of micropollutant concentrations and standard water quality parameters in wastewater treatment plants, combined sewer overflows, and stormwater outfalls in Germany

description: This dataset includes micropollutant concentrations (up to 95 substances) and standard water quality parameters analysed in samples from 49 wastewater treatment plants (WWTPs), 12 combined sewer overflows (CSOs) and 2 stormwater outfalls (SSO) in Germany. WWTP samples were collected as multi-day composite samples from October 2017 to April 2019. CSO and SSO samples were collected as event composite samples from November 2016 to December 2019 and from July 2018 to April 2019, respectively. The sampling was conducted as part of research projects on behalf of the Federal Environment Agency (Umweltbundesamt) and the Bavarian Environment Agency (Bayerisches Landesamt für Umwelt). The context and scope of the data, the methods used in the monitoring, and data analyses are reported in Nickel et al. (2021). Additional information can be found in the project reports (Fuchs et al. 2020a, Fuchs et al. 2020b, Nickel & Fuchs 2020). REFERENCES: Nickel, J.P., Sacher, F. and Fuchs, S. 2021 Up-to-date monitoring data of wastewater and stormwater quality in Germany. Water Research 202, 117452. https://doi.org/10.1016/j.watres.2021.117452. Fuchs, S., Toshovski, S., Kaiser, M., Sacher, F., Thoma, A., Kümmel, V., Lambert, B., 2020a. Prioritäre Stoffe in kommunalen Kläranlagen - Ein deutschlandweit harmonisiertes Vorgehen. Texte 173/2020. Umweltbundesamt, Dessau-Roßlau, Germany. https://www.umweltbundesamt.de/publikationen/prioritaere-stoffe-in-kommunalen-klaeranlagen. Fuchs, S., Toshovski, S., Kaiser, M., Sacher, F., Thoma, A., 2020b. Belastung der Umwelt mit Bioziden realistischer erfassen - Schwerpunkt Einträge über Kläranlagen. Texte 169/2020. Umweltbundesamt, Dessau-Roßlau, Germany. https://www.umweltbundesamt.de/publikationen/belastung-der-umwelt-bioziden-realistischer. Nickel, J.P., Fuchs, S., 2020. Qualitative Untersuchung von Mischwasserentlastungen in Bayern. Karlsruhe Institute of Technology (KIT). https://doi.org/10.5445/IR/1000137305. FUNDING: The monitoring was financed by the federal states of Germany and was technically and administratively supported by the Federal Environment Agency (Umweltbundesamt). The additional monitoring of 10 combined sewer overflows in Bavaria was financed by the Bavarian State Ministry of the Environment and Consumer Protection (Bayerisches Staatsministerium für Umwelt und Verbraucherschutz).
DOI: 10.35097/1313
title: 360° electron tomography data

description: The data includes the main results from the 360° electron tomography work, images in format of jpeg and tif, and presentations in format of ppt.
DOI: 10.35097/1411
title: 3D USCT II Open Dataset (Phantom 1)

description: 3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 1 (plastic cup with gelatin an water inclusions) 2: Empty measurement with the same parameters as the gelatin phantom 1
description: In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
DOI: 10.35097/1412
title: 3D USCT II Open Dataset (Phantom 2)

description: 3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Gelatin phantom 2 with embedded metal thread. 2: Empty measurement with the same parameters as the gelatin phantom 2, 1 aperture position.
description: In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
DOI: 10.35097/1413
title: 3D USCT II Open Dataset (Phantom 3)

description: 3D USCT II (2nd generation) experimental data. The following datasets are included: 1: Organic phantom: olive embedded in turkey steak and gelatin. 2: Empty measurement with the same parameters as the organic phantom.
description: In order to utilize the data, we provide a MATLAB interface. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3DUSCT-data-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the GitHub issue tracker. Further information on the experimental setup (sytem description) are available on the webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
DOI: 10.35097/1410
title: 3D USCT III Open Dataset (Phantom 4)

description: 3D USCT III (3rd generation) experimental data. The following datasets are included: 1: Gelatin phantom with four inclusions made from PVC (spheres of different size 8 mm to 22 mm) 2: Empty measurement with the same acquisition parameters as the gelatin phantom.
description: In order to utilize the data, we provide a MATLAB interface which has been updated for the USCT 3rd generation format. It can be accessed via GitHub repository at https://github.com/KIT-3DUSCT/3D-USCT-III-access-script. The source code is provided under 3-clause BSD-license. The interface software enables retrieving A-scans, emitter and receiver positions, and additional meta data as e.g. ultrasound pulse information, temperature distribution in water. For questions and bug reports regarding the MATLAB interface please use the issue tracker or contact us via e-Mail. For further information and data access scripts see webpage http://ipeusctdb1.ipe.kit.edu/~usct/challenge/?page_id=92
DOI: 10.35097/1304
title: 3D fault sets of Germany and adjacent areas

description: The dataset contains 3D geometries of major tectonic faults in Germany as mesh data in .txt format.
description: The dataset contains 3D geometries of tectonic faults in Germany as mesh data. There are three fault sets: • Vertical fault set: Vertical_Fault_Set • Andersonian fault set containing: Andersonian_Normal_Faults, Andersonian_Thrust_Faults and Andersonian_Strike_Slip_Faults • Semi-Realistic fault set containing: Semi_Realistic _Normal_Faults, Semi_Realistic_Thrust_Faults and Semi_Realistic _Strike_Slip_Faults The three fault sets are of increasing complexity, however their accuracy is limited due to the large scale and the sparse availability of reference data. The data sets are given as .txt files that can be imported to Tecplot EX 2019 using the freely available AddOn GeoStress. If the files should be opened using Hypermesh or used as an input file for Abaqus the following edits have to be made: • The data type has to be changed to .inp • The Line \*NAME has to be deleted • The document must end with \*\*\*\*\* instead of \*\*
DOI: 10.35097/1355
title: 3D optomechanical metamaterials

description: The data is organized in folders that correspond to the figures in the corresponding publication (https://doi.org/10.1016/j.mattod.2022.08.020). Each folder contains a README.txt file that explains the contained data in detail.
DOI: 10.35097/1246
title: 3D shallow-seismic data acquired at Rheinstetten

description: Field seismic data (in su format) and the corresponding reports on it. 1. 'CloseMesh.su' is the data acquired on a fine-mesh acquisition geometry during different days. 2. 'LargeMesh.su' is the data acquired on a large-mesh acquisition geometry on a same day. 3. 'report_header_information.pdf' describes the header information of the su files. 4. 'Report_Rheinstetten KIT.pdf' is a report on the field measurement.
DOI: 10.35097/1269
title: 3D printable heat exchanger for incorporation into a photoresponsive membrane gas permeation test cell

description: This is a design for a metal heat exchanger that can be printed using a 3D metal printer.
DOI: 10.35097/1213
title: A data set of 104 software development projects – an investigation on process ambidexterity and project performance

description: This survey data was collected from software development (SD) organizations based in the United States and Germany. The survey methodology allows us to collect a larger cross-sectional dataset from practitioners, which was required to test our mediation hypotheses. A research project description explaining the purpose and expected outcomes of the study was sent to 16 software firms through the network of an applied research institute. Ten firms agreed to participate in the study. A customized survey link was sent to a senior executive (e.g., CEO or CIO) in each participating firm via email. The survey was forwarded to a total of 364 SD project managers and members. To reduce the bias related to retrospective data, we defined valid respondents as those who completed at least one SD project in the respective firm within the past 12 months. After removing invalid and incomplete responses, we retained 214 usable responses from 104 SD projects, resulting in a response rate of 55.2%
DOI: 10.35097/1262
title: ANCISTRUS software and Processor library

description: ANCISTRUS software version 1.0.8.6 Processor library version 1.8.0
description: The ANCISTRUS package derives atmospheric circulation from MIPAS/ENVISAT monthly mean VMR distributions. For detailed description of the method and its validation, see publications 10.5194/acp-16-14563-2016 and 10.5194/acp-2020-72. The Processor Library is a Fortran 90 collection of general computing tools used also in the MIPAS/ENVISAT data processor and elsewhere. Unpack with 'tar xvzf ancistrus_software.tar.gz'. This version of ANCISTRUS is only provided for validation of its functionality and the results in the publications 10.5194/acp-2020-72 and 10.5194/acp-2019-704 and not released for distribution of the original or modified versions. The Processor library is licensed under LGPLv2.1 and may be modified and distributed under the terms of that license. For detailed information, see the README and html documentation inside.
DOI: 10.35097/1189
title: Additional data for the dissertation: Resolving locations of defects in superconducting transmon qubits

description: Simulation and measurement data used in the dissertation manuscript by Alexander Bilmes(1) "Resolving locations of defects in superconducting transmon qubits" (defense on 8Feb2019, Referent Prof. A.V. Ustinov, Koreferent: Prof. A. Shnirman ), published via KITopen in Aug2018. (1) Physikalisches Institut, KIT, Wolfgang-Gaedestr. 1, 76137 Karlsruhe DOI of this data publication: 10.5445/IR/1000097356 zip files: part1-3: simulation data part4: matlab functions to generate plots contained in the dissertation manuscript after unzipping, you will find the following folders: - Fig2_3: matlab function and data used to generate the figure 2.3 - Fig4_3: matlab function and data used to generate the figure 4.3 - FigD2: matlab function and data used to generate the figure D.2 - TLS-locations\TLS_locations_allQubs_publish.m: matlab function used for the analyzis of TLS locations, and generation of Figures 2.10, 2.11, 4.6-4.8, 4.12-4.14, D.1, E.5, E.6, E.8, F.1 - TLS-locations\errorEstimation_InterfaceParticipation_publish.m: matlab function to estimate the errors presented in Equation 4.7 (Output files Pint_QB2_runAug2018 and Pint_QB2_runAug2018_roughSweep can be plotted with the same function: set the variable "loadprevious" to 1) - E-field_simulations_2D_1 and _2D_2 and _3D: simulation data used in the analyzis above. - E-field_simulations_2D_2\Exported_Data\path_along_film-edge-profile: matlab function to generate the points at the film edge profile (2D model), at which the electric field shall be exported from the simulation model - E-field_simulations_3D\Exported_Data\potential_for_2D-simu_V5_2_10: data exported from the 3D model to find the effective potential for the electrodes in the 2D model (see Fig 4.4 c) - E-field_simulations_3D\Exported_Data\Field_Along_Edges: exported data of electric fields along the fim edge in the 3D model, presented in Figs. 4.6 and F.6
DOI: 10.35097/1207
title: Additional Material for "Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets" - High Speed Video Footage and SIP Event Frequencies

description: To access the frequencies of the secondary ice production events, please refer to "Data_SIP_event_frequencies.pdf". Description of the high speed video footage can be found in "Video captions.pdf". The date format of the videos is yyyy/mm/dd.
DOI: 10.35097/1211
title: Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019

description: The Aerial Peruvian Andes Campaign (ALPACA) dataset was acquired during a measurement campaign of the Institute of Photogrammetry and Remote Sensing (IPF) and the Institute of Water and River Basin Management - Hydrology (IWG) of the Karlsruhe Institute of Technology (KIT). The measurement campaign was conducted in Peru, in the catchment area of the river Lurín near Lima, in April 2019. Areas in five different locations between 2700 m and 3700 m above mean sea level are included. The ALPACA dataset consists of hyperspectral data in the range of 900 nm to 2500 nm and soil moisture point data in the range of 4 % to 89 %. The hyperspectral data was acquired with a Headwall Hyperspec SWIR sensor, which was mounted on DJI Matrice 600 Pro an Unmanned Aerial Vehicle. About 27 600 square meters of hyperspectral data were acquired with a pixel edge length of about 3 cm. A detailed description of the data acquisition can be found in [1]. The soil moisture data was measured with a handheld ThetaProbe sensor. As a result, 236 soil moisture values are provided. The point measurements were performed in a grid of various distances between 5 m and 15 m. The processing of the dataset is described in [1] and published in [2]. Acknowledgment: The ALPACA dataset is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF). We thank Philipp Wagner and Julian Bocanegra for their help during the measurement campaign. Further, we thank Stefan Hinz and Erwin Zehe. **References:** [1] Felix M. Riese. "Development and Applications of Machine Learning Methods for Hyperspectral Data." Ph.D. Thesis. Karlsruhe Institute of Technology, Karlsruhe, Germany. 2020. [2] Felix M. Riese. "Processing Scripts for the ALPACA Dataset." Zenodo. 2020.
description: **Folder "hy_data/":** Hyperspectral data for the five measurement areas area1, area2_1, area2_2, area3, area4, area5, as GeoTiff (.tif) files with header (.hdr) files. - Coordinate system: WGS 84 (EPSG 4326) - 170 spectral bands, included in the header files - Information about the calibration and corrections are included in the header files **Folder "sm_data/":** Soil moisture data of the five measurement areas 1, 2, 3, 4, and 5. The measurements are provided in `peru_soilmoisture.csv`. The columns are defined as follows: - area: Measurement areas 1-5 (integer) - long: Longitude coordinate, WGS 84, in degrees (float) - lat: Latitude coordinate, WGS 84, in degrees (float) - soilmoisture_perc: Volumetric soil moisture content, in percent (float) - weather: Notes about weather conditions (string) - datetime: Date of the soil moisture measurement and start date of a measurement, in Peru Time (PET) (string in the iso 8601 format "YYYY-MM-DD hh:mm:ss")
DOI: 10.35097/1224
title: Algorithmus zur objektiven Analyse des Einflusses von Gewindeparametern von Holzschrauben auf die Rissbildung - Algorithm for an objective analysis of the influence of thread parameters of wood screws on crack formation

description: Für die Gestaltung von Holzschrauben ist der Zusammenhang zwischen der Gestalt des Gewindes und der Funktion Tragfähigkeit besonders wichtig. Dies erfordert eine objektive Analyse des Versagens. Mit diesem Algorithmus wird eine objektive Analyse der Rissbildung von Holz in Holzschraubenverbindungen unter Verwendung von Bildverarbeitung möglich. Bewertungsgrößen sind hierbei die Risslänge und Rissbreite.
description: For the design of wood screws, the relationship between the thread parameters and the function withdrawal capacity is important. For this purpose, the objective analysis of the failure behavior is necessary. With this algorithm an objective analysis of the cracks of wood in wood screw connections using image processing becomes possible. Evaluation parameters are the crack length and crack width.
description: Der Algorithmus ist mit MATLAB (Version 2019A) programmiert. Es liegt eine Dokumentation des Algorithmus, eine Anleitung zur Benutzung sowie Beispieldaten bei. The algorithm is programmed with MATLAB (version 2019A). A documentation of the algorithm, a manual on how to use it, and sample data are included.