cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1215
title: Quartz single crystal thermal diffusivity measurements by laser flash method: from -120 °C through the α-β phase transition to 800 °C

description: Laser-Flash-Apparatus: Netzsch LFA 457, InSb and HgCdTe IR Detectors Raw data on single crystal quartz thermal diffusivity are given as .csv data within the corresponding sample folders: "LT" refers to low temperature (-120 °C to 400 °C), "HT" to high temperature (25 °C to 800 °C) measurements. "_001" or "_100" of the folder and .csv file names denote the measured crystallographic direction, i.e. [100] (a-axis) and [001] (c-axis), respectively. All .csv data contain a header with information on the measurement followed by the data in columns "Time /ms" and "Detector /V". Thicknesses within the header information are given as room temperature (RT) thicknesses. They are approx. 2 mm for "HT1" specimens, approx. 4 mm and 4.7 mm for "HT2" specimens and approx. 10 mm for "Qz_cube" specimens. Information on the laser pulse used for the measurements can be found in the header information for the pulse power (e.g. "#Laser_voltage/V;1538,0") and filter settings that were used (e.g. "#Laser_filter/mm;100,0"). For finite pulse-time effect consideration[1], corresponding exemplary laser pulse profiles can be found in the folder "Laserpulse". [1] e.g., see: Breuer, S. and Schilling, F. R.: Improving Thermal Diffusivity Measurements by Including Detector Inherent Delayed Response in Laser Flash Method, Int J Thermophys, 40, 95, https://doi.org/10.1007/s10765-019-2562-9, 2019)
DOI: 10.35097/1459
title: RICHARD 1.0 - Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data

description: Here, we introduce version 1.0 of the RICHARD algorithm, a Routine for the Isolation of Chemical Hotspots in Atmospheric Research Data, e.g. in satellite measurement datasets (level-2 and above) or atmospheric chemistry model output. The overall goal of the algorithm is to identify "hotspot" areas in which local enhancements of an atmospheric constituent can only occur due to strong local emissions. To detect hotspot areas, we use a mathematical method that combines spatiotemporal proxy data for calibration purposes and a selection algorithm in a novel way.
description: The routines RICHARD.py and RICHARD_threshold.py require a Python 3.x installation, as well as the modules imported in the scripts. It should be noted that the module global_land_mask must be installed separately, since it is not included by default as a package in python. The programs are started via the command line. The necessary and alternative arguments for starting RICHARD.py and RICHARD_threshold.py are explained either in the scripts themselves or in the associated paper. Die Routinen RICHARD.py und RICHARD_threshold.py benötigen eine Python 3.x installation, sowie die in den Skripten importierten Module. Hierbei ist zu beachten, dass insbesondere das Modul global_land_mask separat installiert werden muss, da es nicht standardmäßig als Paket in python beinhaltet ist. Gestartet wird werden die Programme über die Kommandozeile. Die notwendigen und alternativen Argumente für den Start von RICHARD.py und RICHARD_threshold.p sind entweder in den Skripten selbst oder im zugehörigen Paper erläutert.
DOI: 10.35097/1193
title: Radiosondendaten der MOSES-Messkampagne Hydrex 2019

description: Radiosondendaten, die während der MOSES-Kampagne "Hydrologische Extreme 2019" gemessen wurden. Standort Dittersdorf, Sachsen (13°47'51.28" E, 50°49'23,12" N, 561 ü. NN). Instrumentierung: Graw-Radiosondensystem (Receiver GS-E), Radiosonden: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
description: Radiosonde data, measured during the MOSES campaign "Hydrological Extremes 2019". Location Dittersdorf, Saxony (13°47'51.28" E, 50°49'23,12" N, 561 above sea level). Instrumentation: Graw radiosonde system (receiver GS-E), radiosondes: DFM-09 (https://www.graw.de/de/produkte/radiosonden/dfm-09)
description: Nomenklatur des Dateinamens: Moses_Location_YYYYMMDD_hhmm.txt. Zeitangaben in UTC Beispiel: Moses_Dittersdorf_20190519_1510.txt bedeutet Aufstieg in Dittersdorf am 19. Mai 2019 um 15:10 UTC ASCII-Dateien mit Header. Der Header beinhaltet die Variblenbezeichungen und die physikalischen Einheiten. Verwendete Variablenbezeichnungen: Time (Zeit seit dem Start in s), P (Luftdruck in hPa), T (Lufttemperatur in °C), Hu (Relative Feuchte in %), Ws (Windgeschwindigkeit in m/s), Wd (Windrichtung in Grad), Geopot (geopotenielle Höhe in m), Dew (Taupunkttemperatur in °C), Rs (Aufstiegsgeschwindigkeit in m/s), D (Luftdichte in kg/m3). Die Daten beinhalten auch Messdaten nach dem Ballonplatzpunkt, negative Rs.
DOI: 10.35097/1433
title: RandomShimDB: A subset of the NMR magnet shimming database ShimDB

description: # RandomShimDB: A subset of the NMR magnet shimming database ShimDB RandomShimDB is a subset of the NMR magnet shimming database [ShimDB](https://github.com/mobecks/ShimDB) and contains over 15000 instances. Data is aquired on a Spinsolve 80 Carbon spectrometer (Magritek GmbH, Aachen, Germany, www.magritek.com) on 5%vv H2O in D2O and a water solution with CuSO4 (5mmol/L). RandomShimDB is part of "Acquisitions with random shim values enhances AI-driven NMR shimming" by M. Becker et al. [1]. The acquisition procedure was as follows. The manufacturer's automated shimming technique, based on the downhill simplex method, was used to obtain a reference spectrum. Then, the shims X, Y, Z and Z2 were varied. The dataset parameters were obtained by relative offsets from the reference shim values in a range R with weighting W, following Gaussian noise sampling. For each combination, the raw FID, acquisition parameters, and the shim values were stored. | Topic | Parameter | Value | |------------------------|------------------|-----------------------| | Dataset parameters | Shims | X,Y,Z,Z2 | | | Weightings W | [1.2, 1.0, 2.0, 18.0] | | | Shim range R | +/- 50 | | | Sample I | H2O+CuSO4 | | | Sample II | 5vol% H2O in D2O | | | Nr. spectra | {5000,10000} | | Acquisition parameters | Nucleus | 1H | | | Bandwidth | 5 kHz | | | Points | 32768 | | | Repetition time | 2000 ms | | | Phase correction | phi_0 | **We strongly encourage researchers to extend ShimDB with their own subsets to stimulate developments. We offer to include raw data or links to your publications into ShimDB.** ## Files format Each folder in RandomShimDB contains the following files: - data.1d -&gt; the raw FID. - shims.par -&gt; Shim values, where only linear shims are non-zero. - acqu.par -&gt; Acquisition parameters. - proc.par -&gt; Processing parameters. The RandomShimDB root folder also contains the reference starting shims (ReferenceShims.par). ## Data loading We deliver a python script ```utils_IO.py``` alongside [ShimDB](https://github.com/mobecks/ShimDB) to easily load the database into numpy array structure using the [nmrglue packages](https://github.com/jjhelmus/nmrglue)[2]. The following python libraries and packages are required: os, numpy, glob, nmrglue (&gt;= v0.9.dev0) # References [1] M. Becker, S. Lehmkuhl, S. Kesselheim, J. G. Korvink, and M. Jouda, “Acquisitions with random shim values enhance AI-driven NMR shimming,” J. Magn. Reson., p. 107323, 2022, doi: https://doi.org/10.1016/j.jmr.2022.107323. [2] J. J. Helmus and C. P. Jaroniec, “Nmrglue: An open source Python package for the analysis of multidimensional NMR data,” J. Biomol. NMR, vol. 55, no. 4, pp. 355–367, 2013, doi: https://doi.org/10.1007/s10858-013-9718-x.
DOI: 10.35097/1162
title: RapidMiner EDM-process box

description: The folder includes a set of RapidMiner processes that allow the reconstruction of the analysis presented in the dissertation.
DOI: 10.35097/1527
title: Raw Data and images for publication Haug et al, November 2019

description: Raw ACOM data, raw STEM and (HR)TEM images
DOI: 10.35097/1464
title: Raw Data to "The influence of lattice misfit on screw and edge dislocation-controlled solid solution strengthening in Mo-Ti alloys"

description: knmfi proposalID 2020-024029394 APT FIB
description: BCC Mo-Ti solid solutions were synthesised by arc-melting in the range of 0-80at% Ti. Mechanical properties were scale-bridging characterised using nanoindentation, Vickers hardness testing and compression testing to isolate solid solution strengthening. Additional structural (XRD) and compositional analyses (HCGE) were also performed to assess lattice parameter and synthesis-related uptake of O and N. In order to assess strength contributions by screw and edge dislocation motion, the model-compatible descriptions of edge dislocation-controlled solid solution strengthening (Maresca and Curtin, Acta Materialia 182 (2020) 235-249) and screw dislocation controlled strengthening (Ghafarollahi and Curtin, Acta Materialia 226 (2022), 117617) were implemented and the strength of the solid solutions was modelled.
description: Three ASCII-files are included: Mechanical properties (nanohardness, Vickers hardness, offset yield strength and Young's modulus) are found in mech_properties.txt. Lattice parameter data, O and N contents and Ti contents determined by EDX are found in other_properties.txt. All mechanical properties are given with their standard deviation. Strength modelled by the implementations of solid solution strengthening are found in Curtin_models.txt for both dislocation types.
DOI: 10.35097/1574
title: Raw Data to "Microstructure and mechanical properties of a precipitation-strengthened Fe-Al-Nb alloy"

description: Scanning electron microscopy images are provided as tif files named according to the figure number in the manuscript. Short notations highlighting the sample condition are added. Additional micrographs not presented in the manuscript are highlighted by "-add". All micrographs are taken with backscattered electron contrast. Orientation imaging microscopy data by electron backscatter diffraction is provided in the form of jpg files of inverse pole figure color coded maps (for both phases BCC and C14). The legends of the inverse pole figure maps are added as well. The images are 40 x 40 µm² with 0.1 µm step size. Additionally, image quality maps were added. Number data is provided as ASCII files with tabulator separation. Files including multiple sample conditions contain columns with “condition” designation.
DOI: 10.35097/1208
title: Raw Data to manuscript on tribologically induced oxidation

description: Raw Data, especially TEM, STEM, confocal microscopy as well as friction data
DOI: 10.35097/1282
title: Raw Data to publication on the effect of different surface treatments on tribological properties of additively manufactured samples. "Tribological Performance of Additively- Manufactured AISI H13 Steel in Different Surface Conditions"

description: Raw data from tribological experiment, topography measurements and optical micrographs
DOI: 10.35097/1480
title: Raw Data to the manuscript "Subsurface microstructural evolution during scratch testing on bcc iron"

description: In this file are contained the raw data behind the publication with the title "Subsurface microstructural evolution during scratch testing on bcc iron" accepted for publication in the MDPI journal "metals"
DOI: 10.35097/1536
title: Raw Data to the publication "Dislocation-mediated and twinning-induced plasticity of CoCrFeMnNi in varying tribological loading scenarios"

description: Raw friction, SEM, TEM and TKD data
DOI: 10.35097/1522
title: Raw data and optical as well as electron microscopy images for brass CuZn5, CuZn15 and CuZn36 study

description: Raw data and optical as well as electron microscopy images for brass CuZn5, CuZn15 and CuZn36 study
description: This is raw data starting back from 2014. Some of the meta data might be found in internal IAM-CMS archives or lab notebooks
DOI: 10.35097/1221
title: Raw data to manuscript by Lehmann et al on the tribological properties of copper oxides

description: Raw data from microscopy, nanoindantion, XRD and friction tests
DOI: 10.35097/1487
title: Raw data to the paper "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction"

description: Raw data behind the publication with the title "Tribologically induced crystal rotation kinematics revealed by electron backscatter diffraction". Contains EBSD data, friction data, secondary electron microscopy images as well as optical topography data.
DOI: 10.35097/1497
title: Raw data to manuscript by Rau et al.: "Three regimes in the tribo-oxidation of high purity copper at temperatures of up to 150°C"

description: Raw data containing friction data, profilometry and transmission electron microscopy data
DOI: 10.35097/1569
title: Reconstructed ptychographic X-ray computed tomography data of an activated hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst

description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated hierarchical porous sample Ni/Al$_{2}$O$_{3}$-ha. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated hierarchical porous sample Ni/Al$_{2}$O$_{3}$-ha. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
DOI: 10.35097/1567
title: Reconstructed ptychographic X-ray computed tomography data of an activated mesoporous Ni/Al$_{2}$O$_{3}$ catalyst

description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated mesoporous sample Ni/Al$_{2}$O$_{3}$-ma. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the activated mesoporous sample Ni/Al$_{2}$O$_{3}$-ma. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
DOI: 10.35097/1507
title: Reconstructed ptychographic X-ray computed tomography data of an artificially coked hierarchical porous Ni/Al$_{2}$O$_{3}$ catalyst

description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coke hierarchical porous sample Ni/Al$_{2}$O$_{3}$-hc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coke hierarchical porous sample Ni/Al$_{2}$O$_{3}$-hc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
DOI: 10.35097/1568
title: Reconstructed ptychographic X-ray computed tomography data of an artificially coked mesoporous Ni/Al$_{2}$O$_{3}$ catalyst

description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coked mesoporous sample Ni/Al$_{2}$O$_{3}$-mc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: Reconstructed ptychographic X-ray computed tomography data set acquired at Diamond Light Source, instrument I13-1 (proposal MG24079-1) of the artificially coked mesoporous sample Ni/Al$_{2}$O$_{3}$-mc. The data set is part of an artificial coking study of nickel based catalysts, which were investigated by ptychographic X-ray computed tomography. Detailed information regarding sample preparation and experimental conditions are available in the respective publication and electronic supplementary information.
description: The data contains the reconstructed tomogram slices in a "*.tiff" format as delta contrast tomogram. The correction of the delta tomogram and calculation of the electron density tomogram has to be done as described in the "*_cutoffs.txt" file. Information about required offset correction of the electron density tomograms is provided in the respective publication. Reconstructed X-ray ptychography projections were tomographically reconstructed using the Matlab script of the cSAXS group of the Swiss Light Source, as published in DOI:10.5281/zenodo.3539550 and DOI:10.1364/OE.27.036637. Ptychographic projections were obtained using the PtyRex package available at I13-1 beamline with 400 iterations.
DOI: 10.35097/1156
title: Redispatch data Germany 2015-2017

description: Redispatch is used very frequently to cure congestion in the German grid. It describes the action of shutting down generation in front of a transmission grid congestion and ramping up generation behind the congestion. It is therefore of great importance to examine why redispatch is used and which patterns exist in the use of redispatch by certain grid operators. The published data is provided publicly by the German TSOs. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
description: The data uses the separator "None". It is the original data set which was downloaded at netztransparenz.de. Be careful that the data uses German encoding ("utf-8", "ISO-8859-1") as well as German date format (dd/mm/yyyy). The data set has the following columns (original name / english translation): - BEGINN_DATUM (Starting Date) - BEGINN_UHRZEIT (Starting daytime) - ENDE_DATUM (Ending date) - ENDE_UHRZEIT (Ending daytime) - NETZREGION (grid region) - GRUND_DER_MASSNAHME (Reason for redispatch) - RICHTUNG (direction of redispatch) - MITTLERE_LEISTUNG_MW (mean power in MW) - GESAMTE_ARBEIT (total power over time in MWh) - ANWEISENDER_UENB (requesting TSO) - BETROFFENE_ANLAGE (affected generation unit) - Redispatch_KW (redispatched generation unit)
DOI: 10.35097/1272
title: Regression Coefficients of parametrisation of function of natural atmospheric variability

description: Regression coefficients of parametrisation of natural atmospheric variability as function of distance and time separation for the atmospheric trace gases: BrO, BrONO$_2$, CH$_3$CL, HNO$_3$, N$_2$O$_5$, CCl$_4$, CFC$_{11}$, CFC$_{113}$, CFC$_{12}$, CH$_4$, ClO, ClONO$_2$, CO, CO$_2$, H$_2$O, HBr, HCl, HF, HNO$_4$, HO$_2$, HOBr, HOCl,, N$_2$O, NO, NO$_2$, NO$_3$, O$_3$, OH, and temperature, calculated on BASCOE model data for ESA VACUUM'R Project.
description: Name of the file indicates if the coefficients stored are for natural variability as function of time or distance. The variability is expressed in percents. The coefficients are given in 18 latitude bands, from 90S to 90N, each of 10 degrees large, and for 71 altitudes, from 0 to 71 km.