cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7913051
title: Dataset for Unified acidity of liquid chromatography mobile phases with methanol and acetonitrile

description: Dataset for article "Unified acidity of liquid chromatography mobile phases with methanol and acetonitrile". Here we report the data of 78 reversed-phase liquid chromatography-mass spectrometry mobile phases that were determined by potential differences in a symmetric cell with two glass electrode half-cells and almost ideal ionic liquid triethylamylammonium bis((trifluoromethyl)sulfonyl)imide [N<sub>2225</sub>][NTf<sub>2</sub>] salt bridge with multiple overlapping measurements. In addition, for 45 of these mobile phases, the potential difference between a glass and a double junction reference electrode were measured. Procedures used with Keysight B2987A Electrometer are given in dx.doi.org/10.17504/protocols.io.n92ld9dj8g5b/v2 and dx.doi.org/10.17504/protocols.io.byh2pt8e. For other instruments, the procedures differ by software and instrument connections.
description: This research was funded from the EMPIR programme (project 17FUN09 "UnipHied") co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme; by the EU through the European Regional Development Fund under project TK141 "Advanced materials and high-technology devices for energy recuperation systems" (2014-2020.4.01.15-0011) and by the Estonian Research Council grant (PRG690). This work was carried out using the instrumentation at the Estonian Center of Analytical Chemistry (TT4, www.akki.ee).
DOI: 10.5281/zenodo.7913050
title: Dataset for Unified acidity of liquid chromatography mobile phases with methanol and acetonitrile

description: Dataset for article "Unified acidity of liquid chromatography mobile phases with methanol and acetonitrile". Here we report the data of 78 reversed-phase liquid chromatography-mass spectrometry mobile phases that were determined by potential differences in a symmetric cell with two glass electrode half-cells and almost ideal ionic liquid triethylamylammonium bis((trifluoromethyl)sulfonyl)imide [N<sub>2225</sub>][NTf<sub>2</sub>] salt bridge with multiple overlapping measurements. In addition, for 45 of these mobile phases, the potential difference between a glass and a double junction reference electrode were measured. Procedures used with Keysight B2987A Electrometer are given in dx.doi.org/10.17504/protocols.io.n92ld9dj8g5b/v2 and dx.doi.org/10.17504/protocols.io.byh2pt8e. For other instruments, the procedures differ by software and instrument connections.
description: This research was funded from the EMPIR programme (project 17FUN09 "UnipHied") co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme; by the EU through the European Regional Development Fund under project TK141 "Advanced materials and high-technology devices for energy recuperation systems" (2014-2020.4.01.15-0011) and by the Estonian Research Council grant (PRG690). This work was carried out using the instrumentation at the Estonian Center of Analytical Chemistry (TT4, www.akki.ee).
DOI: 10.4121/f1c54b90-a69c-4bd5-a55d-bfa9fa16fa40
title: Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"

description: Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"，specifically included are water content data from 55 in situ observations for the years 2018-2020 (observation frequency of 5min or 10min), and example code for implementing LSTM and PCDL using python (mainly the tensorflow library).These data can help the reader to better understand and replicate our research
DOI: 10.4121/f1c54b90-a69c-4bd5-a55d-bfa9fa16fa40.v1
title: Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"

description: Data and code used in the article "A deep learning method for predicting soil moisture in unsaturated areas based on physical constraints"，specifically included are water content data from 55 in situ observations for the years 2018-2020 (observation frequency of 5min or 10min), and example code for implementing LSTM and PCDL using python (mainly the tensorflow library).These data can help the reader to better understand and replicate our research
DOI: 10.18712/nsd-nsd3106-v1
title: Quality of Life Survey 2022

description: In the spring of 2022, Statistics Norway (SSB) conducted a national survey on quality of life. The survey was commissioned by the Norwegian Directorate of Health. The main purpose of the survey was to gain knowledge about the quality of life of the Norwegian population and to shed light on differences in quality of life among different groups. The survey covers the following topics: general quality of life, health, social relations, working conditions and environment, economic situation, housing and living environment, social conditions, everyday life and leisure. Quality of life is receiving more and more attention in social planning and administration, and this survey on quality of life builds on several years of preparatory work for mapping quality of life in Norway.
DOI: 10.5281/zenodo.7625809
title: 56th CIRP Conference on Manufacturing Systems, CIRP CMS '23, South Africa - Enhancing SLM Stainless Steel: Model-Based Parameter Optimization

description: SLM (selective laser melting) has faced challenges in ensuring consistent mechanical properties for various geometries in the past. However, the authors have developed a system that solves this issue by calculating the optimal process parameters for each scan vector on each layer. This approach ensures consistent melt pool geometry, derived from the most robust in conduction welding mode. The results from the single melt-line experiments and the presented thermal conduction solver demonstrate the effectiveness of this approach in achieving a stable melt pool geometry in stainless steel (1.4404 or 316L). Furthermore, a rigorous testing regimen has been implemented to evaluate the system under different changing boundary conditions, to further demonstrate its usefulness. By utilizing this system, manufacturers will achieve consistent and high-quality mechanical properties for small lot sizes, including spare and obsolescent parts.
description: new version will include updates after paper review
DOI: 10.5281/zenodo.7625810
title: 55th CIRP Conference on Manufacturing Systems Model-based quality assurance of SLM parts

description: SLM (selective laser melting) struggles with the repeatability of parts’ consistent mechanical properties for different geometries.Steep costs in manufacturing, f.e. due to experimental iteration of support structures and thermal distortion offset, and labor-intensive qualityassurance, result in limited viability of small lot sizes that are of particular interest for spare and obsolescent parts.Instead of static process parameters, the authors strive for a system to calculate suitable parameters for each scan vector on each layer to keep a consistent melt pool geometry, previously determined to be the most robust in conduction welding mode. First results for a stable melt poolgeometry in stainless steel (316L) from single melt-line experiments and results of a thermal conduction solver are presented. Moreover, a testregiment that provokes considerably different cooling rates in bulk parts is described.
DOI: 10.5281/zenodo.7634697
title: 56th CIRP Conference on Manufacturing Systems, CIRP CMS '23, South Africa - Enhancing SLM Stainless Steel: Model-Based Parameter Optimization

description: SLM (selective laser melting) has faced challenges in ensuring consistent mechanical properties for various geometries in the past. However, the authors have developed a system that solves this issue by calculating the optimal process parameters for each scan vector on each layer. This approach ensures consistent melt pool geometry, derived from the most robust in conduction welding mode. The results from the single melt-line experiments and the presented thermal conduction solver demonstrate the effectiveness of this approach in achieving a stable melt pool geometry in stainless steel (1.4404 or 316L). Furthermore, a rigorous testing regimen has been implemented to evaluate the system under different changing boundary conditions, to further demonstrate its usefulness. By utilizing this system, manufacturers will achieve consistent and high-quality mechanical properties for small lot sizes, including spare and obsolescent parts.
description: new version will include updates after paper review
DOI: 10.5281/zenodo.7928734
title: 56th CIRP Conference on Manufacturing Systems, CIRP CMS '23, South Africa - Enhancing SLM Stainless Steel: Model-Based Parameter Optimization

description: SLM (selective laser melting) has faced challenges in ensuring consistent mechanical properties for various geometries in the past. However, the authors have developed a system that solves this issue by calculating the optimal process parameters for each scan vector on each layer. This approach ensures consistent melt pool geometry, derived from the most robust in conduction welding mode. The results from the single melt-line experiments and the presented thermal conduction solver demonstrate the effectiveness of this approach in achieving a stable melt pool geometry in stainless steel (1.4404 or 316L). Furthermore, a rigorous testing regimen has been implemented to evaluate the system under different changing boundary conditions, to further demonstrate its usefulness. By utilizing this system, manufacturers will achieve consistent and high-quality mechanical properties for small lot sizes, including spare and obsolescent parts.
description: new version will include updates after paper review
DOI: 10.5517/ccdc.csd.cc2b04dx
title: CCDC 2145088: Experimental Crystal Structure Determination

description: Related Article: Keisuke Sekine, Dai Akaishi, Kakeru Konagaya, Shigekazu Ito|2022|Chem.-Eur.J.|28|e202200657|doi:10.1002/chem.202200657
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.cc2b0n01
title: CCDC 2145572: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n12
title: CCDC 2145573: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n23
title: CCDC 2145574: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n34
title: CCDC 2145575: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n45
title: CCDC 2145576: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n56
title: CCDC 2145577: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n67
title: CCDC 2145578: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0n78
title: CCDC 2145579: Experimental Crystal Structure Determination

description: Related Article: Shoki Hoshikawa, Hikaru Yanai, Takashi Matsumoto|2022|Chem.-Eur.J.|28|e202200704|doi:10.1002/chem.202200704
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.cc2b0ssy
title: CCDC 2145720: Experimental Crystal Structure Determination

description: Related Article: Ina Michalsky, Viktoria Gensch, Christian Walla, Marvin Hoffmann, Frank Rominger, Thomas Oeser, Petra Tegeder, Andreas Dreuw, Milan Kivala|2022|Chem.-Eur.J.|28|e202200326|doi:10.1002/chem.202200326
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.cc2b0stz
title: CCDC 2145721: Experimental Crystal Structure Determination

description: Related Article: Ina Michalsky, Viktoria Gensch, Christian Walla, Marvin Hoffmann, Frank Rominger, Thomas Oeser, Petra Tegeder, Andreas Dreuw, Milan Kivala|2022|Chem.-Eur.J.|28|e202200326|doi:10.1002/chem.202200326
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.cc2b0sv0
title: CCDC 2145722: Experimental Crystal Structure Determination

description: Related Article: Ina Michalsky, Viktoria Gensch, Christian Walla, Marvin Hoffmann, Frank Rominger, Thomas Oeser, Petra Tegeder, Andreas Dreuw, Milan Kivala|2022|Chem.-Eur.J.|28|e202200326|doi:10.1002/chem.202200326
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: 10.6073/pasta/67426c854a8545ea94a1aa24decc362f
title: Social-Ecological Dynamics of Recreational Fishery Landscapes: Recreational angler catch and satisfaction in the Midwest

description: The goal of this study is to understand the factors and information sources used by anglers in rural and urban counties to decide where to fish and the factors that determine angler satisfaction with their fishing trip, including the use of fishing technologies. Additionally Contains Data from Fishscapes Project: Data from ecosystem ecology research by Jones, Solomon, and collaborators on the ecology and biogeochemistry of lakes and lake organisms in the Upper Midwest, USA DOI: https://doi.org/10.25390/caryinstitute.7438598.v6
DOI: 10.5281/zenodo.7937536
title: A haptic illusion created by gravity - Data and Codes

description: Dataset and code related to the study <em>A haptic illusion created by gravity</em> by Opsomer L, Delhaye BP, Théate V, Thonnard J-L, and Lefèvre P.
description: {"references": ["bioRxiv 2023.01.19.524523; doi: https://doi.org/10.1101/2023.01.19.524523"]}
DOI: 10.5281/zenodo.7937535
title: A haptic illusion created by gravity - Data and Codes

description: Dataset and code related to the study <em>A haptic illusion created by gravity</em> by Opsomer L, Delhaye BP, Théate V, Thonnard J-L, and Lefèvre P.
description: {"references": ["bioRxiv 2023.01.19.524523; doi: https://doi.org/10.1101/2023.01.19.524523"]}
DOI: 10.25430/researchdata.cab.unipd.it.00000883
title: Data collection on maize silage quality undergone different pre-ensiling conditions

description: The database contains over 1500 maize samples harvested in North-eastern Italy analyzed from 2016-2022. Data are comprehensive of an index for silage quality assessment in lab-scale conditions, field input levels, FAO class, maturity stage, use of bacterial inoculants, sealing delay, chemical traits, density and porosity, pH, fermentative profile, dry matter loss and aerobic stability. Trials have been conducted using vacuum bags and/or mini-silos buckets.
DOI: 10.48328/tudatalib-1146
title: Supplementary Material: Temperature-dependent wall slip of Newtonian lubricants

description: Repository containing the data included in "Pelz, P., Corneli, T., Mehrnia, S., & Kuhr, M. (2022). Temperature-dependent wall slip of Newtonian lubricants. Journal of Fluid Mechanics, 948, A8. doi:10.1017/jfm.2022.629". In the paper, (i) the measurement, (ii) interpretation and (iii) technical impact of temperature-dependent wall slip and its activation energy for polar and non-polar hydrocarbon Newtonian fluids moving relative to machined metal surfaces is discussed. A newly developed apparatus, the slip length tribometer (SLT), overcomes the drawbacks of existing measurement devices in terms of characterising relevant rough surfaces by measuring the slip length at different temperatures over a sufficiently large wetted area. The experimental data show that the bulk viscosity and slip length at the fluid–metal interface is independent of the shear rate up to 10^5 s−1, being consistent with recent results from molecular dynamics simulations by Mehrnia & Pelz. Furthermore, the activation energies for wall slip and bulk shear determined by means of the SLT differ by a factor of two, for non-polar hydrocarbon molecules sliding relative to metal walls. This difference is explained by a generalised Eyring model applied to wall slip. The paper closes with the impact of wall slip on Sommerfeld’s similarity theory of tribology and the resulting Stribeck curve. For this purpose, Reynolds’ equation generalised for wall slip is solved in combination with the experimentally determined constitutive relations for bulk shear and wall slip to predict typical characteristics of journal bearings. The results show that, for a typical journal bearing, where the ratio of slip length to average bearing clearance is of the order of 10^−2, the influence of wall slip on both load-carrying capacity and dissipation is not negligible. This work combines nanofluidics and tribology in order to provide methods and knowledge for e.g. tailor-made fluids and interfaces.
DOI: 10.11573/spectrum.library.concordia.ca.00990620
title: Dataset for Batallán Burrowes et al. (2022) Ovariectomy reduces cholinergic modulation of excitatory synaptic transmission in the rat entorhinal cortex. PLOS One.

description: This data set contains images of protein gels, and protein quantification and electrophysiological data, for the manuscript published in PLOS One, 2022 Aug 8; 17(8):e0271131. doi: 10.1371/journal.pone.0271131.