cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1462
title: Training and validation dataset of milling processes for time series prediction

description: Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens Industrial Edge Prozesse mit einer Abtastrate von 500 Hz aufgenommen. Es wurde ein Prozess für das Modelltraining und ein Prozess für die Validierung aufgenommen, welche sowohl für die Bearbeitung von Stahl sowie von Aluminium verwendet wurden. Es wurden mehrere Aufnahmen mit und ohne Werkstück (Aircut) aufgenommen, um möglichst viele Fälle abdecken zu können.
description: The aim of the data set is the training as well as the validation of models for the prediction of time series for milling processes. For this purpose, processes with a sampling rate of 500 Hz were recorded on a DMG CMX 600 V by a Siemens Industrial Edge. A process for model training and a process for validation were recorded, which were used for both steel and aluminum machining. Several recordings were made with and without the workpiece (aircut) in order to cover as many cases as possible.
description: Documents: -Design of Experiments: Information on the paths such as the technological values of the experiments -Recording information: Information about the recordings with comments -Data: All recorded datasets. The first level contains the folders for training and validation both with and without the workpiece. In the next level, the individual test executions are located. The individual recordings are stored in the form of a JSON file. This consists of a header with all relevant information such as the signal sources. This is followed by the entries of the recorded time series. -NC-Code: NC programs executed on the machine -Workpiece: Pictures of the raw parts as well as the machined workpieces. The pictures show the unfinished part on the left, the training part in the middle and a part with two validation runs on the right. Experimental data: -Machine: DMG CMX 600 V -Material: S235JR, 2007 T4 -Tools: -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 5mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 10mm -VHM-Fräser HPC, TiSi, ⌀ f8 DC: 20mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 10mm -Schaftfräser HSS-Co8, TiAlN, ⌀ k10 DC: 5mm -Workpiece blank dimensions: 150x75x50mm License: This work is licensed under a Creative Commons Attribution 4.0 International License. Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
DOI: 10.35097/1166
title: Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics

description: This study aims to identify whether model parameters describing atmospheric conditions such as wind shear or model parameters related to cloud microphysics such as the fall velocity of hail lead to larger uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of three sets of input parameters (environmental conditions, microphysics, combined) on cloud properties (vertically integrated content of six hydrometeor classes), precipitation, the size distribution of hail and diabatic heating rates. This dataset contains the processed model output and the generated emulators when the convection is triggered by a warm bubble.
description: The csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
DOI: 10.35097/1523
title: Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions and microphysics (updated version)

description: This study aims to identify whether model parameters describing atmospheric conditions such as wind shear or model parameters related to cloud microphysics such as the fall velocity of hail lead to larger uncertainties in the prediction of deep convective clouds. In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of three sets of input parameters (environmental conditions, microphysics, combined) on cloud properties (vertically integrated content of six hydrometeor classes), precipitation, the size distribution of hail and diabatic heating rates. This dataset contains the processed model output and the generated emulators when the convection is triggered by a warm bubble.
description: There are three csv-files labeled "InputDesign" which give the input combinations of parameters used for the COSMO simulations. The remaining csv-files contain the processed model output (spatio-temporal means or maximum values) for output parameters of interest. This dataset was used to train the emulators which are also included as R workspaces. The R package "Sensitivity" is necessary to perform sensitivity analyses using the emulators.
DOI: 10.35097/1359
title: Transformation Kinetics of LiBH$_{4}$–MgH$_{2}$ for Hydrogen Storage

description: Data_Format - Software Raw - diffrac.eva(Bruker) Gfm - diffrac.eva(Bruker) Xy - Origin dm3/4 - DigitalMicrograph mrc - ImageJ emd - Velox
DOI: 10.35097/1491
title: Two-step absorption instead of two-photon absorption in 3D nanoprinting

description: Research data corresponding to the publication "Two-step absorption instead of two-photon absorption in 3D nanoprinting".
DOI: 10.35097/1286
title: UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 1)

description: Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras sowie einem Gas-Multisensor in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur sowie durch eventuell ausströmende Gase wie z.B. CO2 erfasst werden können.
description: Der Datensatz enthält UAS Aufnahmen aus den untersuchten Gebieten. Der Datensatz besteht aus Farbbildern der optischen Kamera, sowie den gleichzeitig aufgenommenen Wärmebildern.
DOI: 10.35097/1528
title: UAS-gestützte Detektion von infrastrukturrelevanten Georisiken - AuDeRi - UAS Datensätze (Teil 2)

description: Problemstellung Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten. Projektziel Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen. Durchführung Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur erfasst werden können.
description: ** Folder "products" ** Mosaicked Geotiffs of two Datasets (Run 310 and Run 314). Including RGB, NDVI and thermal data (intensities only). ** Folder "rawdata" ** Datasets of different locations acquired during UAS campaigns with a multi modal sensor system including Data of thermal infrared sensor Flir Tau 2 640 (TIR), RGB of Mapir Survey 3 and hyperspectral data acquired with the Cubert S185 (HS). Raw Data of various Datasets: 1. Run 310 - Run 314 (RGB, TIR, HS) * Location: Nittel, Germany, 49.661411, 6.464998 * Date: 16.07.2019 2. Run 318 - Run 319 (RGB, TIR, HS) * Location: Nieder-Olm, Germany, 49.895667, 8.207172 * Date: 04.09.2019 3. Run 320 - Run 322 (RGB, TIR) * Location: Mayen, Germany, 50.334727, 7.243786 * Date: 17.12.2019 Sub-folder Cubert: Data of flight, dark-reference and white-reference measurements (reflectance = 0.51). Sub-folder Flir: csv files of TIR sensor containing data and meta data, additional jpg file. Data captured with ThermalCapture 2.0. Data converted using Thermoviewer. Sub-folder Mapir: JPG files of RGB Camera. File *.spz: measurements of an irradiance spectrometer (qmini,RGB Photonics). Not calibrated. ** Folder "matlabcode" ** Code to load used data with matlab.
DOI: 10.35097/1140
title: Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor

description: This file contains the raw data use in the publication 'Uniaxial Pressure Control of Competing Orders in a High Temperature Superconductor' by H.-H. Kim, S. M. Souliou, M.E. Barber, E. Lefrancois, M. Minola, M. Tortora, R. Heid, N. Nandi, R. A. Borzi, G. Garbarino, A. Bosak, J. Porras, T. Loew, M. König, P.M. Moll, A. P. Mackenzie, B. Keimer, C. W. Hicks and M. Le Tacon. Source code for the first principle calculations is also provided, alongside with the instruction to use them. This code was developed at the Karlsruhe Institute of Technology by Rolf Heid. Any use of the software beyond the context of this publication requires permission of the author.
DOI: 10.35097/1118
title: User Storys von bwFDM-Communities

description: In 2554 User Storys wurden die Aussagen von 779 Forschenden zu ihren Bedarf beim Umgang mit Forschungsdaten zusammengefasst. Der zugehörige Projektabschlussbericht fasst diese Einzelaussagen in durch diese Daten quantifizierbaren Themen zusammen.
description: Die 2554 User-Storys sind von der abstrakten Form "Als [Rolle], wünsche ich mir [Mittel], um [Zweck]." Zusätzlich sind Informationen über die Forschungsdisziplin nach DFG-Schema gespeichert und wie die Story kategorisiert wurde. Es ist eine einfache CSV-Datei mit Semikolon als Trennzeichen.
DOI: 10.35097/1428
title: Version 8 IMK/IAA MIPAS ozone profiles: nominal observation mode

description: The data set comprises ozone data of the Earth's middle atmosphere region for the years 2002-2012 as derieved from the nominal mode mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
description: The data is delivered as a set of archive files with each archive containing monthly netCDF files of the respective year.
DOI: 10.35097/1805
title: Version 8 IMK/IAA MIPAS temperatures from 12-15 micrometer spectra: Middle and Upper Atmosphere modes, the data set

description: The data set comprises temperature data of the Earth's middle atmosphere region for the years 2005-2012 as derived from the middle atmosphere (T_561), upper atmosphere (T_661), and noctilucent cloud (T_761) measurement modes mid infrared spectra measurements collected by the MIPAS instrument on board the Envisat satellite. The data version is V8.
description: The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
DOI: 10.35097/1289
title: VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography

description: ## README # ___________________ ### VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography ------------- The files layer_XX.xyz (with XX indicating the number of the layer from 01-08) contain P-wave velocity anomalies (3rd column) in % with reference to the AK135 model at given longitudes (1st column) ranging from -73.5° to -57.0° and latitudes (2nd column) ranging from 6.5° to 23.0° with increments of 0.05° in both longitude and latitude. The files layer_XX.grd contain the same model as .grd-files. The 8 layers of the model correspond to the following depth ranges: 0- 40 km : layer01 40-100 km : layer02 100-160 km : layer03 160-240 km : layer04 230-320 km : layer05 320-410 km : layer06 410-530 km : layer07 530-660 km : layer08 A GMT script 'plot_layers.gmt' is provided to plot horizontal slices of the velocity anomalies. More information on the final model and a suggested set of interpretations can be found in: Braszus, B., et al. (2021), Subduction history of the Caribbean from upper-mantle seismic imaging and plate reconstruction, Manuscript in revision for Nature Communications. Further details of the method and tests for an earlier version of the model are in: Braszus, B. (2019), 3D teleseismic travel time tomography along the Lesser Antilles subduction zone, 83 pp, Karlsruhe Institute of Technology, Karlsruhe, Germany, doi:10.5445/IR/1000124003.
DOI: 10.35097/1169
title: Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR)

description: This is the databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing.
description: There exist two versions of the databank: volume mixing ratio profiles on common pressure grid and volume mixing ratio profiles on common altitude grid. The pressure grid corresponds to vertical sampling of appr. 1 km below 20 km and appr. 2–3 km above 20 km; the altitude grid has 1-km step. The altitude range of the profiles provided varies from instrument to instrument. Geolocation, uncertainty estimates when available, and vertical resolution are provided for each profile. For some instruments, quality-related optional parameters are provided as well. This is one stop source for satellite vertical profiles of water vapour for the period 1984–2018. This databank is useful for a wide range of atmospheric applications, targets a wide range of users from modellers to scientists, and can be interesting for purposes of validation, assimilation, data merging, and atmospheric research. The databank WAVAS_SAHAR has been created in the framework of the European Space Agency Climate Change Initiative project.
DOI: 10.35097/1198
title: Water vapour profiles from WAVAS SAtellite component in HARmonized format (WAVAS_SAHAR) - Version 2

description: This is the Version 2 of databank of satellite vertical profiles of the water vapour, that have participated in SPARC WAVAS assessment, in a harmonized format, WAVAS_SAHAR. All vertically-resolved satellite measurements of the tropospheric and stratospheric water vapour in the time period between 1984 and 2018 are included. The databank consists of water vapour profiles retrieved from each instrument, which are screened for invalid data according to recommendations of instruments’ teams, then transformed into a common unit and interpolated on a common grid. The data versions included are those existing at the moment of WAVAS exercise, hence not always the most recent at the time of publishing. The only difference of version 2 of the databank to the initial version of WAVAS-SAHAR is the MLS entry on ALT grid : in the version 2 the regridding was performed using the geometrical altitudes from Derived Meteorological Products (DMPs) for MLS profiles.
description: There exist two versions of the databank: volume mixing ratio profiles on common pressure grid and volume mixing ratio profiles on common altitude grid. The pressure grid corresponds to vertical sampling of appr. 1 km below 20 km and appr. 2–3 km above 20 km; the altitude grid has 1-km step. The altitude range of the profiles provided varies from instrument to instrument. Geolocation, uncertainty estimates when available, and vertical resolution are provided for each profile. For some instruments, quality-related optional parameters are provided as well. This is one stop source for satellite vertical profiles of water vapour for the period 1984–2018. This databank is useful for a wide range of atmospheric applications, targets a wide range of users from modellers to scientists, and can be interesting for purposes of validation, assimilation, data merging, and atmospheric research. The databank WAVAS_SAHAR has been created in the framework of the European Space Agency Climate Change Initiative project.
DOI: 10.35097/1420
title: Zeta Potential, Particle Size Distribution and Separation Efficiency Data of SiO2 and ZnO Particles during Magnetic Seeded Filtration Experiments with SiO2-MAG

description: The data set contains experimental data on the zeta potential and particle size distribution of SiO$_2$, ZnO and magnetic SiO$_2$-MAG particles. Additionally, experimental data on separation efficiency of magnetic seeded filtration experiments with varying ionic strength and pH is supplied.
description: ## General Information 1. SiO2: Material: Quartz, Manufacturer: Quarzwerke GmbH, Product Name: SF800 2. ZnO: Material: ZnO, Manufacturer: Quarzwerke GmbH, Product Name: Silatherm 2. SiO2-MAG: Material: SiO2 / Fe3O4 composite, Manufacturer: Microparticles GmbH, Product Name: SiO2-MAG-AR1062 ## Particle Size Distribution For SiO2-MAG the distribution was measured with an analytical disc centrifuge (CPS Instruments), while ZnO and SiO2 were measured by laser diffraction (Helos, Sympatec). ## Zeta Potential All zeta potentials were measured at constant ionic strength I = 0.1M and constant volumetric particle concentration cv = 3.75e−3 vol-%. ## Magnetic Seeded Filtration Experiments Two individual studies (A and B) were performed. A mono-disperse silica-magnetite composite (SiO2-MAG) was used as magnetic seed material, while the non-magnetic particle system was varied between a poly-disperse SiO2 and poly-disperse ZnO powder. Stock suspensions of the dry particle systems were prepared by sonification with the Digital Sonifier 450 fromBranson Ultrasonics Co. (conditioning). A sample of the stock suspension *P_0* was taken and its actual concentration determined, taking deviations in preparation into account. Subsequently, the respective volumes of the stock suspensions to achieve the desired volume concentrations c_v were transferred into a snap-on lid vial. The suspension parameters ionic strength I and pH were adjusted by addition of 2M NaCl solution and 0.5M HCl or NaOH solution respectively. Finally, the experimental volume was filled to V=3mL with ultrapure water. The suspension was agitated for the agglomeration time t_A in the laboratory shaker Vortex Genius 3 from IKA GmbH. After agglomeration, a ferromagnetic separation matrix was immersed in the suspension and the vial was positioned next to a permanent magnet. Magnetic separation was performed for t_S=2min. A representative sample *P_E* was taken from the non-separated suspension and sonified again in order achieve comparable levels of dispersity. Samples *P_0* and *P_E* were analyzed via UV-VIS spectroscopy and the volume concentrations were determined through previously performed, substance- and system-specific calibrations. Separation success is quantified via the separation efficiency of the non-magnetic component defined as A_NM = 1 - (c_v,NM,E / c_v,NM,0). All experiments were measured in triplicate and the resulting standard deviation of the separation efficiency is also supplied. ## Note For more information on magnetic seeded filtration refer to publications by Rhein et al.
DOI: 10.5281/zenodo.10039841
title: STED images of foot processes

description: The dataset is made of STED images of mouse and human foot processes. 
It is made of 2 parts. 

288 images of mouse samples
151 binarised images of human samples, 142 original images. The numbers are different as the few original ones had much bigger size than others, so they were split into more pictures of normal size.
Folder structure:

zenodo-mouse-data-renal - mouse images:

original:

mut - samples with FSGS
ctrl - control samples
NTN
2021_PodR231Q_NTS
Adriamycin_Kuehne
binarized:

train - train set
test
zenodo-human-data-hoyer - images of human samples with foot processes:

original
binarized:

train
test
DOI: 10.5281/zenodo.10039842
title: STED images of foot processes

description: The dataset is made of STED images of mouse and human foot processes. 
It is made of 2 parts. 

288 images of mouse samples
151 binarised images of human samples, 142 original images. The numbers are different as the few original ones had much bigger size than others, so they were split into more pictures of normal size.
Folder structure:

zenodo-mouse-data-renal - mouse images:

original:

mut - samples with FSGS
ctrl - control samples
NTN
2021_PodR231Q_NTS
Adriamycin_Kuehne
binarized:

train - train set
test
zenodo-human-data-hoyer - images of human samples with foot processes:

original
binarized:

train
test