cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mff1j
title: CCDC 1502447: Experimental Crystal Structure Determination

description: Related Article: Zhong Han, Yuncong Chen, Yanjun Wang, Xiangchao Shi, Hao Yuan, Yang Bai, Zhongyan Chen, Hongbao Fang, Weijiang He, Zijian Guo|2020|Dalton Trans.|49|13954|doi:10.1039/D0DT02627A
DOI: 10.5517/ccdc.csd.cc25rm4q
title: CCDC 2018693: Experimental Crystal Structure Determination

description: Related Article: Emma Kirkman-Davis, Faith E. Witkos, Veli Selmani, Jeffrey C. Monroe, Christopher P. Landee, Mark M. Turnbull, Louise N. Dawe, Matthew I. J. Polson, Jan L. Wikaira|2020|Dalton Trans.|49|13693|doi:10.1039/D0DT02716B
DOI: 10.5517/ccdc.csd.cc24xcn3
title: CCDC 1993475: Experimental Crystal Structure Determination

description: Related Article: Junying Zhao, Qian Li, Xin-cheng Zhu, Jia Li, Dapeng Wu|2020|Inorg.Chem.|59|14424|doi:10.1021/acs.inorgchem.0c02214
DOI: 10.5517/ccdc.csd.cc25sl6s
title: CCDC 2019625: Experimental Crystal Structure Determination

description: Related Article: Yingjie Zhang, Ming Liu, Inna Karatchevtseva, Jason R. Price, Zhu Tao, Gang Wei|2020|New J.Chem.|44|18208|doi:10.1039/D0NJ03962D
DOI: 10.5517/ccdc.csd.cc25pgly
title: CCDC 2016630: Experimental Crystal Structure Determination

description: Related Article: Milan Gembicky|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25nm2k
title: CCDC 2015808: Experimental Crystal Structure Determination

description: Related Article: zhaowei Huang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25w19f
title: CCDC 2021984: Experimental Crystal Structure Determination

description: Related Article: Thanawat Chaiprasert, Yujia Liu, Nobuhiro Takeda, Masafumi Unno|2020|Dalton Trans.|49|13533|doi:10.1039/D0DT03045G
DOI: 10.5517/ccdc.csd.cc23g27x
title: CCDC 1949938: Experimental Crystal Structure Determination

description: Related Article: Kaushik Naskar, Anup Kumar Bhanja, Sukanya Paul, Kunal Pal, Chittaranjan Sinha|2020|Cryst.Growth Des.|20|6453|doi:10.1021/acs.cgd.0c00623
DOI: 10.5517/ccdc.csd.cc25xhxj
title: CCDC 2023398: Experimental Crystal Structure Determination

description: Related Article: Rajorshi Mandal, Kumar Biradha|2020|Dalton Trans.|49|13744|doi:10.1039/D0DT02919J
DOI: 10.5517/ccdc.csd.cc260nqm
title: CCDC 2026430: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260nrn
title: CCDC 2026431: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260nzw
title: CCDC 2026438: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260nsp
title: CCDC 2026432: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260p0y
title: CCDC 2026439: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260ntq
title: CCDC 2026433: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260p1z
title: CCDC 2026440: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260nvr
title: CCDC 2026434: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260p20
title: CCDC 2026441: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260nws
title: CCDC 2026435: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.5517/ccdc.csd.cc260p31
title: CCDC 2026442: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Christoph M. Herzog, Simon H. F. Schreiner, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13818|doi:10.1039/D0DT03124K
DOI: 10.6073/pasta/9244c2100758d144efd21e97f26cf0c6
title: Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975

description: Rainfall has been measured at the El Verde Field Station since 1964. McDowell and Estrada-Pinto, 1988 presents a description of the collection procedures, raw data from 1964 to 1986, and some summary statistics for this period of record. Precipitation for this period showed some seasonality in monthly means, with a peak in May. Monthly averages for the period of 1975 to current chart can be found at this site. The highest values for the monthly averages for the period of 1975 to 2000 are from August to December with a low in October and November the highest. In this period the highest amount of total annual rainfall was in 1998 with 5293.61 mm and the minimum in 1994 with 1402.87 mm.
DOI: 10.5281/zenodo.4245176
title: Vox_Twitter

description: Data set con los datos semanales de los nuevos seguidores, seguidos y media de la cuenta oficial de Vox en Twitter desde 2017 hasta 2020.
DOI: 10.5281/zenodo.4245175
title: Vox_Twitter

description: Data set con los datos semanales de los nuevos seguidores, seguidos y media de la cuenta oficial de Vox en Twitter desde 2017 hasta 2020.
DOI: 10.25810/00zk-yj28.17
title: Norwegian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - September 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/zb7c-gf43.9
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - September 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.3888327
title: Dataset for: "Dipentamethylene Thiuram Tetrasulfide Based Cathodes for Rechargeable Magnesium Batteries"

description: Dataset for computational contributions to paper with DOI: 10.1021/acsaem.0c01655 data-structure: .<br> ├── bondstrengths<br> │ ├── 1<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output -&gt; ../../7/right/output/<br> │ ├── 2<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right_quasi_newton<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 3<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 4<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 5<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 6<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── 7<br> │ ├── left<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── right<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> └── other<br> ├── MgPMDTC2<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── Mg_atom<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── PMTT<br> │ ├── output_HOMO_LUMO_isosurface<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ ├── PARCHG.0057.ALLK<br> │ │ ├── PARCHG.0058.ALLK<br> │ │ ├── POSCAR<br> │ │ └── PROCAR<br> │ └── output_geometric_relaxation<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ ├── POSCAR<br> │ └── PROCAR<br> └── S2<br> └── output<br> ├── CONTCAR<br> ├── INCAR<br> ├── KPOINTS<br> ├── OUTCAR<br> └── POSCAR 46 directories, 94 files
DOI: 10.5281/zenodo.3888326
title: Dataset for: "Dipentamethylene Thiuram Tetrasulfide Based Cathodes for Rechargeable Magnesium Batteries"

description: Dataset for computational contributions to paper with DOI: 10.1021/acsaem.0c01655 data-structure: .<br> ├── bondstrengths<br> │ ├── 1<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output -&gt; ../../7/right/output/<br> │ ├── 2<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right_quasi_newton<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 3<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 4<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 5<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ ├── 6<br> │ │ ├── left<br> │ │ │ └── output<br> │ │ │ ├── CONTCAR<br> │ │ │ ├── INCAR<br> │ │ │ ├── KPOINTS<br> │ │ │ ├── OUTCAR<br> │ │ │ └── POSCAR<br> │ │ └── right<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── 7<br> │ ├── left<br> │ │ └── output<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ └── POSCAR<br> │ └── right<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> └── other<br> ├── MgPMDTC2<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── Mg_atom<br> │ └── output<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ └── POSCAR<br> ├── PMTT<br> │ ├── output_HOMO_LUMO_isosurface<br> │ │ ├── CONTCAR<br> │ │ ├── INCAR<br> │ │ ├── KPOINTS<br> │ │ ├── OUTCAR<br> │ │ ├── PARCHG.0057.ALLK<br> │ │ ├── PARCHG.0058.ALLK<br> │ │ ├── POSCAR<br> │ │ └── PROCAR<br> │ └── output_geometric_relaxation<br> │ ├── CONTCAR<br> │ ├── INCAR<br> │ ├── KPOINTS<br> │ ├── OUTCAR<br> │ ├── POSCAR<br> │ └── PROCAR<br> └── S2<br> └── output<br> ├── CONTCAR<br> ├── INCAR<br> ├── KPOINTS<br> ├── OUTCAR<br> └── POSCAR 46 directories, 94 files
DOI: 10.5281/zenodo.3890949
title: Supplementary material (individual data set): Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405

description: <strong>Meal choice at two university canteens in a field experiment during 12 weeks: anonymised individual menu sales data</strong> How do canteen visitors respond to a revised offer of meat-based and plant-based meals? Selected innovations were simultaneously implemented and tested in a trans­disciplinary field experiment in two university canteens over a 12-week period in the autumn semester 2017. Throughout this time, the meat dishes and ‘veg-meals’ (ovo-lacto-vegetarian and vegan meals) were randomly distributed among the three menu lines, the veg-meals were not marketed and advertised as such and the previous vegetarian menu line was abolished. Weeks where the usual number of meat dishes were on offer (the ‘base weeks’) alternated with weeks where the share of veg-meals was increased (the ‘intervention weeks’). The field experiment did not have a negative impact on the number of meals sold or the turnover compared to the two previous years. Women choose meat dishes less often than men. This connection applies in the base weeks and intervention weeks, in all age groups, among both students and among staff. Remarkably, the share of (non-labelled) vegan dishes is comparable for women and men over all age groups, independent of university affiliation (student, staff). Authentic vegan dishes were particularly welcome. Veg-meals could also be sold on the more expensive menu line. There was a better correlation between meal choice, eating habits and attitudes (health, environment, animal welfare, social aspects) than expected. <strong>The dataset the dataset contains over <em>21'000</em> anonymised individual menu sales. The analyses and results are summarized in the working paper No. 5 https://doi.org/10.21256/zhaw-1405</strong> The corresponding scripts are: - 10.5281/zenodo.4034686 - 10.5281/zenodo.4034698 - 10.5281/zenodo.4244258 (newer Version) For more information visit the novanimal.ch website.
DOI: 10.5281/zenodo.3890948
title: Supplementary material (individual data set): Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405

description: <strong>Meal choice at two university canteens in a field experiment during 12 weeks: anonymised individual menu sales data</strong> How do canteen visitors respond to a revised offer of meat-based and plant-based meals? Selected innovations were simultaneously implemented and tested in a trans­disciplinary field experiment in two university canteens over a 12-week period in the autumn semester 2017. Throughout this time, the meat dishes and ‘veg-meals’ (ovo-lacto-vegetarian and vegan meals) were randomly distributed among the three menu lines, the veg-meals were not marketed and advertised as such and the previous vegetarian menu line was abolished. Weeks where the usual number of meat dishes were on offer (the ‘base weeks’) alternated with weeks where the share of veg-meals was increased (the ‘intervention weeks’). The field experiment did not have a negative impact on the number of meals sold or the turnover compared to the two previous years. Women choose meat dishes less often than men. This connection applies in the base weeks and intervention weeks, in all age groups, among both students and among staff. Remarkably, the share of (non-labelled) vegan dishes is comparable for women and men over all age groups, independent of university affiliation (student, staff). Authentic vegan dishes were particularly welcome. Veg-meals could also be sold on the more expensive menu line. There was a better correlation between meal choice, eating habits and attitudes (health, environment, animal welfare, social aspects) than expected. <strong>The dataset the dataset contains over <em>21'000</em> anonymised individual menu sales. The analyses and results are summarized in the working paper No. 5 https://doi.org/10.21256/zhaw-1405</strong> The corresponding scripts are: - 10.5281/zenodo.4034686 - 10.5281/zenodo.4034698 - 10.5281/zenodo.4244258 (newer Version) For more information visit the novanimal.ch website.
DOI: 10.5281/zenodo.4244985
title: Final data used in JGR-Atmospheres manuscript 2020JD034202

description: Final processed data used to generate all figures in the submitted manuscript (2020JD034202) to Journal of Geophysical Research - Atmospheres. All data are in self descriptive netCDF formats. codes directory contains Python scripts/notebooks used to visualize the data. data directory contains final processed data used in the manuscript.
DOI: 10.5281/zenodo.4244984
title: Final data used in JGR-Atmospheres manuscript 2020JD034202

description: Final processed data used to generate all figures in the submitted manuscript (2020JD034202) to Journal of Geophysical Research - Atmospheres. All data are in self descriptive netCDF formats. codes directory contains Python scripts/notebooks used to visualize the data. data directory contains final processed data used in the manuscript.
DOI: 10.21227/rpdg-wv37
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/n6nh-rf27
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/mf0s-wm37
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/gy3d-1b06
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/w0am-1j35
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/7kmx-ns06
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/kqwr-rk08
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.
DOI: 10.21227/5t4d-tt46
title: Forming process failures

description: When producing bolts in a forming process, the pressure signals are recorded per forming cycle of a bolt in sampling rate 1000 Hz. The dataset is collected from experiments of different failure modes of a forming process. There are 2 experiments recorded in csv format. Four failure modes, including core broken, cavity block, insufficient lubrication, and material out-of-specification, as well as one normal mode are provided. The first and second groups of experiments were performed in the same machine with different cavities and cores. The data are saved in Forming Failures Exp1 and Exp2, respectively.