cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1785
title: 3D CT-Data for L-WZ13-10

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: turn indicator
DOI: 10.18419/darus-1785/2
title: L-WZ13-10-without-box.hdf5
DOI: 10.15468/dl.yguwce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 35",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003354-241107131044228/datasets/export for details.
DOI: 10.15468/dl.zqca4j
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physella virginea (A.Gould, 1847)"
 ]
}

 The dataset includes 110 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003353-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1793
title: Data for: Electrohydrodynamic simulation of electrically controlled droplet generation

description: Im Rahmen des Projekts A5 entstanden folgende Ergebnisse numerischer Analysen zu elektrisch induzierter Ablösung von Wassertropfen mit niedriger Leitfähigkeit von der Spitze einer benetzbaren Spitze. Der Aufbau des numerischen Modells entspricht dem des elektrisch-getriebenen Tröpfchengenerators, Teilprojekt B2, zur Untersuchung der Tröpfcheninjektion in Stickstoff. Die Daten zeigen das Verhalten der bedarfsgesteuerten Ablösung einzelner, niedrig leitfähiger Tröpfchen. In diesem Fall kann das angelegte elektrische Feld nicht als Abschwächung der effektiven Oberflächenspannung interpretiert werden.&lt;p&gt;&lt;/p&gt;&lt;br&gt;
&lt;p&gt;&lt;b&gt;Materialeigenschaften&lt;/b&gt;&lt;br&gt;

&lt;u&gt;N-Pentane&lt;/u&gt;&lt;br&gt;
Dynamische Viskosität: 2.395 x 10-4 N s m-2&lt;br&gt;
Dichte: 626.2 kg m-3&lt;br&gt;
Leitfähigkeit: 2 x 10-12 S m-1&lt;br&gt;
Relative Permittivität: 1.844&lt;br&gt;&lt;br&gt;

&lt;u&gt;Stickstoff (N_2)&lt;/u&gt;&lt;br&gt;
Dynamische Viskosität: 2.173 x 10-5 N s m-2&lt;br&gt;
Dichte: 1.251 kg m-3&lt;br&gt;
Leitfähigkeit: 5 x 10-15 S m-1&lt;br&gt;
Relative Permittivität: 1.000538&lt;br&gt;&lt;br&gt;
 
Oberflächenspannung 1.56e-2 N m-1&lt;br&gt;

 
&lt;p&gt;&lt;b&gt;Aufbau des Simulationsmodells&lt;/b&gt;&lt;br&gt;
Die achsensymmetrischen Simulationen werden auf einem 5°-Ausschnittrechengebiet durchgeführt. Das Simulationsergebnis der Anfüllung eines N-Pentantröpfchens ohne Feldanregung wird als Anfangsbedingung übernommen. Der Massenfluss ist 6g h-1. Die Spannungsanregung wird als Dirichlet Randbedingung eingeprägt. Weiterführende Informationen werden in der Publikation &lt;a href="http://dx.doi.org/10.1016/j.ijheatfluidflow.2017.02.007"&gt;doi: 10.1016/j.ijheatfluidflow.2017.02.007&lt;/a&gt; bereitgestellt.
&lt;p&gt;&lt;b&gt;Ergebnisvisualisierung&lt;/b&gt;&lt;br&gt;
Die Ergebnisse sind als .vtk Dateien im Binärformat beigefügt. Jedes Teilergebnis ist nach dem entsprechenden Zeitschritt benannt, beginnend mit dem Start des Ablösevorgangs.
DOI: 10.18419/darus-1793/1
title: unstructured_npentane_drop.tar.gz

description: Computational grid: Unstructured (48760 cells)
DOI: 10.18419/darus-1793/2
title: polygonic_npentane_drop.tar.gz

description: Computational grid: Polygonal (98468 cells)
DOI: 10.18419/darus-1836/1
title: tau_plot.rar

description: Data for the publication "Diagnosis of model errors with a sliding time-window Bayesian analysis" in Journal Water Resource Research. This folder includes the files and data to generate the tBME analysis plots for Case 1, Case 2, Case 3, and real data Case.
DOI: 10.18419/darus-1836
title: Code of the tBME method

description: &lt;p&gt;Code and data for the publication "Diagnosis of model errors with a sliding time-window Bayesian analysis" in Journal Water Resource Research (preprint 
 https://arxiv.org/abs/2107.09399) . The folder "tau_plot" includes the files and data to generate the tBME analysis plots for Case 1, Case 2, Case 3, and real data Case as shown in the publication.&lt;/p&gt;

&lt;p&gt;It includes seven *.m files. Download this folder and open the main function "c_plot3.m". To generate the analysis, run main function "c_plot3.m".&lt;/p&gt;

&lt;p&gt;The folder "cal_tBME" contains a function file "a_calWeights_4.m" and the data used in the publication. The data include Ensemble (model output from HYDRUS) for 271 days and ensemble size 906504, and four observation datasets. The function "a_calWeights_4.m" gives output of tBME. &lt;/p&gt;
DOI: 10.18419/darus-1836/2
title: cal_tBME.rar

description: This file contains a function that calculates tBME values and the data (model ensemble, three synthetic observed datasets, a real observed dataset).
DOI: 10.18419/darus-1841/1
title: KK17-09-05.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1841
title: 3D CT-Data for KK17/5-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1841/2
title: KK17-05-09.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1856/1
title: DM_G200.pdf
DOI: 10.18419/darus-1856/2
title: DM_LN3_G200.pdf
DOI: 10.18419/darus-2034/1
title: RMM_code.tar

description: This includes the Matlab files and input files to run the Regime-and-Memory model (RMM) described in Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M.; Nowak, W.. Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies. Water 2021, 13 (accepted)
DOI: 10.18419/darus-2034
title: Regime-and-memory model (RMM) Code

description: &lt;p&gt;We introduce a simple stochastic time-series model (regime-and-memory model, RMM) for concentrations in the river that accounts for fluctuating release and transport with memory, using an autocorrelation over time.One explicit parameter of our model represents the export regime. This parameter can morph the model among chemostatic-type and chemodynamic-type catchment behaviors, and it resembles the regression slope in plots of log(C)-log(Q).&lt;/p&gt;

&lt;/p&gt;More information about the code can be found in the related publication Gonzalez-Nicolas et al. (2021) &lt;a href="https://doi.org/10.3390/w13131723"&gt;https://doi.org/10.3390/w13131723&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This dataset includes Matlab codes and data used for the sampling strategies.&lt;br/&gt;
Main file is "Main_MCMC_designs.m".&lt;br/&gt;

Sampling strategies used within this manuscript are already designed. These are the files with extension "*.mat".&lt;/p&gt;

&lt;p&gt;File "data_Schwientek_et_al_2013.xls" includes all data between 7/01/2011 and 4/01/2012 (6604 observations).&lt;/p&gt;

&lt;p&gt;The following needs to be changed in the main file and adapted to each individual scenario:&lt;/p&gt;
%% READ OBSERVATIONS&lt;br/&gt;
%% INPUT PARAMETERS&lt;br/&gt;
%% PREPARE MCMC&lt;br/&gt;
DOI: 10.18419/darus-2034/2
title: License.txt
DOI: 10.18419/darus-2078/1
title: X_ray_video_heatconduction_deeppenetration.avi

description: The video presents the heat conduction welding mode in the upper left and the deep penetration welding mode in the upper right. The metallographically prepared cross sections of the resulting welds are depicted below the corresponding video.
DOI: 10.18419/darus-2078
title: Comparison of heat conduction mode and deep penetration mode by means of high-speed synchrotron X-ray videos during laser beam welding

description: There are two modes of laser beam welding: the heat conduction mode and the full penetration mode. The heat conduction mode is present if the intensity of the laser beam is to low to evaporate but sufficient to melt the irradiated material. This welding mode results in a very stable process without pore formation but with low welding depths. The strong evaporation in case of higher laser beam intensities leads to the formation of a vapour capillary, whose presence defines the deep penetration mode. The capillary enables high welding depths but coincides with instabillities, which may form pores in the weld seam. In order to compare the welding modes, the space- and time-resolved geometry of the capillary and the melt pool were captured during laser beam welding of aluminium with a framerate of 1000 Hz by means of high-speed synchrotron X-ray imaging. Both Experiments were conducted with a laser power of 1 kW and a welding velocity of 6 m/min. In order to weld in heat conduction mode, the intensity of the laser beam was reduced by shifting the focal position 5 mm above the surface of the sample. The crossections of the reulting weld seam are depicted below their corresponding X-ray-video.
description: The presented investigations were carried out in cooperation with DESY in Hamburg and with RWTH Aachen University within the framework of the Collaborative Research Centre SFB1120-236616214 “Bauteilpräzision durch Beherrschung von Schmelze und Erstarrung in Produktionsprozessen” and funded by the Deutsche Forschungsgemeinschaft e.V. (DFG, German Research Foundation). We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III and we would like to thank F. Beckmann and J. Moosmann for assistance in using P07 EH4. Beamtime was allocated for proposal I-20191140.The sponsorship and support is gratefully acknowledged.
DOI: 10.18419/darus-2078/2
title: Modes_of_Laser_Welding.avi

description: The video presents the heat conduction welding mode in the upper left and the deep penetration welding mode in the upper right. The metallographically prepared cross sections of the resulting welds are depicted below the corresponding video.
DOI: 10.18419/darus-2086/1
title: Titelbild_10kHz_Video.jpg

description: Additional explanation to the 10 kHz x-ray video.
DOI: 10.18419/darus-2086
title: 10 kHz x-ray video of laser beam welding of copper

description: At the X-ray facility at the IFSW, so far it has been possible to record videos with a framerate of 1 kHz to 3 kHz. In this setup the X-rays propagate through the workpiece and are filmed by the high-speed camera via a projection on the scintilator. Through a new sample formation and using less attenuating sample material, frame rates of 10 kHz could now be achieved during high-speed laser beam welding processes. This allows the laser beam welding process to be recorded in a highly dynamic manner, which means that a more precise temporal resolution of the process can be measured. The temporal resolution in the case of this 10 kHz x-ray video is 0.1 ms.
With the X-ray system at IFSW, high-speed laser material processing can be recorded with a high temporal resolution up to 10 kHz in order to detect effects during the process.
description: This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, Germany Research Foundation) - 431 336 540. The Laser beam source TruDisk8001 (DFG object number: 625617) was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - INST 41/990-1 FUGG.
DOI: 10.18419/darus-2086/2
title: 10kHz_Video_final.avi

description: 10 kHz X-ray video of laser beam welding process of copper.
DOI: 10.5281/zenodo.14056649
title: THE IMPORTANCE OF USING INTERACTIVE METHODS IN MATHEMATICS LESSONS
DOI: 10.5281/zenodo.14056650
title: THE IMPORTANCE OF USING INTERACTIVE METHODS IN MATHEMATICS LESSONS
DOI: 10.18419/darus-2104/1
title: UmbrellaSampling.tar.gz

description: Contains simulation data (in-/output, scripts) from Umbrella Sampling
DOI: 10.18419/darus-2104
title: Supplementary material for 'Umbrella sampling and double decoupling data for methanol binding to Candida antarctica lipase B'

description: This dataset contains all relevant simulation input files (topologies, coordinates, simulation parameters), generated simulation output (final configurations, time series of collective variables) together with scripts used for set-up and analysis of the umbrella sampling and double decoupling simulations.
DOI: 10.18419/darus-2104/2
title: DoubleDecoupling.tar.gz

description: Contains simulation data (in-/output, scripts) from alchemical double decoupling
DOI: 10.18419/darus-2117/1
title: Supplemental Material_List of videos.xlsx

description: The commercial videos are presenting visions of future Augmented reality applications. We analyzed 30 YouTube videos featuring AR devices in industrial manufacturing and construction. We offer the excel sheet including the list of the 30 commercial YouTube videos with information on year/title/duration/initiator/type of initiator/link/keywords in search/field of AR application/short description/notes on each of the respective videos.
DOI: 10.18419/darus-2117
title: Replication Data for BauHCI Video Analysis

description: The commercial videos are presenting visions of future Augmented reality applications. We analyzed 30 YouTube videos featuring AR devices in industrial manufacturing and construction. We offer the excel sheet including the list of the 30 commercial YouTube videos with information on year/title/duration/initiator/type of initiator/link/keywords in search/field of AR application/short description/notes on each of the respective videos.
DOI: 10.18419/darus-2117/2
title: Supplemental Material_List of videos.tab

description: The commercial videos are presenting visions of future Augmented reality applications. We analyzed 30 YouTube videos featuring AR devices in industrial manufacturing and construction. We offer the excel sheet including the list of the 30 commercial YouTube videos with information on year/title/duration/initiator/type of initiator/link/keywords in search/field of AR application/short description/notes on each of the respective videos.
DOI: 10.15468/dl.k9y2dm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 20",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003357-241107131044228/datasets/export for details.
DOI: 10.18419/darus-1339/1
title: L-WZ13-10.pdf
DOI: 10.18419/darus-1339/2
title: L-WZ13-10.pdf
DOI: 10.3886/e210582v1
title: Replication Data for: Has the Increased Attachment of Women to the Labor Market Changed a Family’s Ability to Smooth Income Shocks

description: An increase in a married woman's attachment to the labor market affected her family's ability to smooth unexpected income shocks. Between 1970 and 1990, the sharp rise in labor market attachment provided an increasingly important channel for smoothing shocks to spousal income. As the participation rate stabilized, this contribution to smoothing evened out. In the Great Recession, both spouses received negative income shocks, and access to transfer income became the main insurance mechanism. Volatility of consumption followed volatility of family income trends but at a lower magnitude. Families' ability to weather income shocks didn't change during the 1970-2010 period.
DOI: 10.18419/darus-1348/1
title: kk12_09.FBX
DOI: 10.3886/e210582
title: Replication Data for: Has the Increased Attachment of Women to the Labor Market Changed a Family’s Ability to Smooth Income Shocks

description: An increase in a married woman's attachment to the labor market affected her family's ability to smooth unexpected income shocks. Between 1970 and 1990, the sharp rise in labor market attachment provided an increasingly important channel for smoothing shocks to spousal income. As the participation rate stabilized, this contribution to smoothing evened out. In the Great Recession, both spouses received negative income shocks, and access to transfer income became the main insurance mechanism. Volatility of consumption followed volatility of family income trends but at a lower magnitude. Families' ability to weather income shocks didn't change during the 1970-2010 period.
DOI: 10.18419/darus-1348
title: CSG Data for KK12-09

description: &lt;p&gt;For CSG purposes, the data were created on the basis of the 3D photogrammetric digitisation using the software "Autodesk 3ds Max", "Autodesk Maya" and "blender" in the versions of the year 2020. With the 3D CSG model it is possible to animate the functional principle of the instrument (e.g. in a smartphone application).&lt;/p&gt;
&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1348/2
title: kk12_09.max
DOI: 10.15468/dl.qtmr89
title: Occurrence Download

description: A dataset containing 1451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-70.74731 43.31669,-70.08344 43.31669,-70.08344 43.67841,-70.74731 43.67841,-70.74731 43.31669))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Continent derived from coordinates",
 "Month is one of (September, October, November)",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Catharus guttatus (Pallas, 1811)",
 "Year 2011-2024"
 ]
}

 The dataset includes 1451 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003355-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1375
title: 3D CT-Data for KK17/1-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1375/1
title: KK17-01-09.hdf5
DOI: 10.5284/1122150
title: Data from Archaeological Excavations at Felixstowe Academy, High Street, Walton, Felixstowe, Suffolk, March - November 2012

description: This digital archive comprises images, spreadsheet, site record and report data from two phases of archaeological excavation on the site of the new Felixstowe Academy School, Walton, Felixstowe, Suffolk. The work was undertaken between 1st and 16th March and 31st October and 30th November 2012, by Pre-Construct Archaeology Ltd. The work was commissioned by CgMs Consulting Ltd on behalf of Balfour Beatty.
DOI: 10.18419/darus-1375/2
title: KK17-01-09.hdf5

description: 3D Voxelized volume
DOI: 10.5517/ccdc.csd.cc2gs4t7
title: CCDC 2287329: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18419/darus-1382/1
title: KK17-02-09.hdf5
DOI: 10.5517/ccdc.csd.cc2gs4v8
title: CCDC 2287330: Experimental Crystal Structure Determination

description: Related Article: Sebastian Hauer, Justus Reitz, Taichi Koike, Robert Wolf, Max M. Hansmann|2024|Angew.Chem.,Int.Ed.|63|e202410107|doi:10.1002/anie.202410107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs7s9
title: CCDC 2287421: Experimental Crystal Structure Determination

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