cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc215kc5
title: CCDC 1882176: Experimental Crystal Structure Determination

description: Related Article: Terrance J. Hadlington,  Tibor Szilvási,  Matthias Driess|2019|J.Am.Chem.Soc.|141|3304|doi:10.1021/jacs.9b00159
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: 10.25919/5c6ba4274efdf
title: Parkes observations for project P456 semester 2018OCTS_30

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5281/zenodo.2572750
title: Vehicle Routing Problem with Drones Instances

description: The following instances are originally presented in the (soon to be published) paper <em>An Adaptive Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Drones</em>, written by David Sacramento Lechado, David Pisinger and Stefan Røpke.

The data correspond to 112 instances corresponding to different scenarios for the Vehicle Routing Problem with Drones. Each instance is named <strong>n.m.t</strong>, where <strong>n</strong> is the number of customers in the scenario, <strong>m</strong> is the dimension of the grid, and <strong>t</strong> is the generic name of the scenario. Moreover, the data additionally contains 10 clustered instances, named <strong>n.m.c.t</strong>, where <strong>c</strong> refers to the cluster-feature of the instance, and more 30 instances for the sensitivity analysis, named <strong>n.m.s.t</strong>, where <strong>s</strong> stands for sensitivity.

The first line of each instance file indicates the number of customers in the specific instance. The second line is the header for the characteristics of each customer, where it is written <em>Coordinate X, Coordinate Y</em> and <em>Demand. </em>The following provides the previous information for each customer in the instance.

Finally, there is an extra file, named <strong>RouteData,</strong> which provides information about the value of the parameters in the main configuration of the problem. These parameters are:


	<strong>TruckSpeed: </strong>Speed in mpm (miles per minute) of the trucks.
	<strong>DroneSpeed: </strong>Speed in mpm of the drones.
	<strong>TruckCapacityWithDrones: </strong>Maximum capacity of the trucks for the drone-truck scenario.
	<strong>TruckCapacityWithoutDrones: </strong>Maximum capacity of the trucks for the truck-only scenario.
	<strong>DroneCapacity:</strong> Maximum allowed weight a drone can carry.
	<strong>ServiceTimeTruck:</strong> Required service time for a truck to service a customer.
	<strong>ServiceTimeDrone:</strong> Required service time for a drone to service a customer.
	<strong>Endurance: </strong>Maximum flight endurance of the battery of the drone.
	<strong>MaximumDriveTime: </strong>Maximum duration time of the routes.
	<strong>LaunchTime: </strong>Required time for launching a drone.
	<strong>RecoveryTime: </strong>Required time for recovering a drone.
	<strong>CostFactor:</strong> Corresponding parameter for computing the cost for a truck for traversing arc (i,j), given by fuel price (euro/liter), consumption rate (liter/km) and miles converter (km/miles).
	<strong>DroneFactor: </strong>Corresponding parameter for computing the cost for a drone for traversing arc (i,j) with respect to the truck cost.
DOI: 10.5517/ccdc.csd.cc215kd6
title: CCDC 1882177: Experimental Crystal Structure Determination

description: Related Article: Terrance J. Hadlington,  Tibor Szilvási,  Matthias Driess|2019|J.Am.Chem.Soc.|141|3304|doi:10.1021/jacs.9b00159
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.cc2167n5
title: CCDC 1882836: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167p6
title: CCDC 1882837: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167q7
title: CCDC 1882838: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167r8
title: CCDC 1882839: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167s9
title: CCDC 1882840: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167tb
title: CCDC 1882841: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc1q2dfm
title: CCDC 1581230: Experimental Crystal Structure Determination

description: Related Article: Qing-Feng Li, Gen-Wu Ge, Yanke Sun, Mingshen Yu, Zhenling Wang|2019|Spectrochim.Acta,Part A|214|333|doi:10.1016/j.saa.2019.02.056
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.cc2167vc
title: CCDC 1882842: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167wd
title: CCDC 1882843: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc2167xf
title: CCDC 1882844: Experimental Crystal Structure Determination

description: Related Article: Marius I. Arz,  Vincent T. Annibale,  Nicole L. Kelly,  John V. Hanna,  Ian Manners|2019|J.Am.Chem.Soc.|141|2894|doi:10.1021/jacs.8b13435
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.cc1lrkqm
title: CCDC 1482411: Experimental Crystal Structure Determination

description: Related Article: Chang-Kai Su, Lei Zhang, Jin-Wei Liang, Xiang He, Kou-Lin Zhang|2019|Polyhedron|162|245|doi:10.1016/j.poly.2019.01.064
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.cc1ysjkt
title: CCDC 1811037: Experimental Crystal Structure Determination

description: Related Article: Leonardo C. Moraes, Gilmar P. de Souza, Humberto V. Fajardo, Sulusmon C. Luz, Eleuterio Álvarez, Francesc Lloret, Renato M. Ribeiro-Viana, Javier Rojo, Humberto O. Stumpf, Rute C. Figueiredo, Rodrigo S. Corrêa|2019|Inorg.Chim.Acta|489|93|doi:10.1016/j.ica.2019.02.010
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.cc1ysjlv
title: CCDC 1811038: Experimental Crystal Structure Determination

description: Related Article: Leonardo C. Moraes, Gilmar P. de Souza, Humberto V. Fajardo, Sulusmon C. Luz, Eleuterio Álvarez, Francesc Lloret, Renato M. Ribeiro-Viana, Javier Rojo, Humberto O. Stumpf, Rute C. Figueiredo, Rodrigo S. Corrêa|2019|Inorg.Chim.Acta|489|93|doi:10.1016/j.ica.2019.02.010
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.cc206gb1
title: CCDC 1853252: Experimental Crystal Structure Determination

description: Related Article: Lin-Lu Qian, Zhi-Xiang Wang, Li-Ming Zhu, Ke Li, Bao-Long Li, Bing Wu|2019|Spectrochim.Acta,Part A|214|372|doi:10.1016/j.saa.2019.02.059
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.cc20p5yv
title: CCDC 1867407: Experimental Crystal Structure Determination

description: Related Article: Rafael Natan Soek, Caroline Mariano Ferreira, Francielli Sousa Santana, David L. Hughes, Giordano Poneti, Ronny Rocha Ribeiro, Fábio Souza Nunes|2019|J.Mol.Struct.|1184|254|doi:10.1016/j.molstruc.2019.02.036
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.cc20p5zw
title: CCDC 1867408: Experimental Crystal Structure Determination

description: Related Article: Rafael Natan Soek, Caroline Mariano Ferreira, Francielli Sousa Santana, David L. Hughes, Giordano Poneti, Ronny Rocha Ribeiro, Fábio Souza Nunes|2019|J.Mol.Struct.|1184|254|doi:10.1016/j.molstruc.2019.02.036
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.cc20vls8
title: CCDC 1872610: Experimental Crystal Structure Determination

description: Related Article: Rajkumar Reddyrajula, Udayakumar Dalimba, S. Madan Kumar|2019|Eur.J.Med.Chem.|168|263|doi:10.1016/j.ejmech.2019.02.010
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.cc21229j
title: CCDC 1878826: Experimental Crystal Structure Determination

description: Related Article: Aydın Aktaş, Samir Abbas Ali Noma, Duygu Barut Celepci, Fatoş Erdemir, Yetkin Gök, Burhan Ateş|2019|J.Mol.Struct.|1184|487|doi:10.1016/j.molstruc.2019.02.063
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.cc21g1g1
title: CCDC 1890332: Experimental Crystal Structure Determination

description: Related Article: Doris Höfer, Klaudia Cseh, Michaela Hejl, Alexander Roller, Michael A. Jakupec, Markus Galanski, Bernhard K. Keppler|2019|Inorg.Chim.Acta|490|190|doi:10.1016/j.ica.2019.02.017
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.cc21g1h2
title: CCDC 1890333: Experimental Crystal Structure Determination

description: Related Article: Doris Höfer, Klaudia Cseh, Michaela Hejl, Alexander Roller, Michael A. Jakupec, Markus Galanski, Bernhard K. Keppler|2019|Inorg.Chim.Acta|490|190|doi:10.1016/j.ica.2019.02.017
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.cc21g5g5
title: CCDC 1890456: Experimental Crystal Structure Determination

description: Related Article: Zi Yang, Jian Wang, Hai-Tao Wu, Fan-Jun Kong, Wen-Yu Yin, Hong-Jian Cheng, Xiao-Yan Tang, Bin Qian, Shi Tao, Jun Yi, Yun-Shen Ma, Rong-Xin Yuan|2019|Applied Surface Science|479|693|doi:10.1016/j.apsusc.2019.02.160
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: 10.21227/k33k-dm08
title: Julia code for multi-wavelength pyrometry

description: Code for the Julia programming language (https://julialang.org/) to compute estimates of surface temperature and emissivity using multi-wavelength pyrometry.
DOI: 10.17032/shu-180009
title: E-assessment in undergraduate mathematics literature review data

description: A systematic review of literature on e-assessment in undergraduate mathematics was undertaken in 2012 and updated in 2017. This dataset contains metadata about articles found in that review.
DOI: 10.5281/zenodo.2572757
title: Vehicle Routing Problem with Drones Instances

description: The following instances are originally presented in the (soon to be published) paper <em>An Adaptive Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Drones</em>, written by David Sacramento Lechado, David Pisinger and Stefan Røpke.

The data correspond to 112 instances corresponding to different scenarios for the Vehicle Routing Problem with Drones. Each instance is named <strong>n.m.t</strong>, where <strong>n</strong> is the number of customers in the scenario, <strong>m</strong> is the dimension of the grid, and <strong>t</strong> is the generic name of the scenario. Moreover, the data additionally contains 10 clustered instances, named <strong>n.m.c.t</strong>, where <strong>c</strong> refers to the cluster-feature of the instance, 100 instances for the sensitivity analysis, named <strong>n.m.s.t</strong>, where <strong>s</strong> stands for sensitivity, and 375 instances for the experiments with drone savings as function of grid size, named <strong>n.m.g.t</strong>.

The first line of each instance file indicates the number of customers in the specific instance. The second line is the header for the characteristics of each customer, where it is written <em>Coordinate X, Coordinate Y</em> and <em>Demand. </em>The following provides the previous information for each customer in the instance.

Finally, there is an extra file, named <strong>RouteData,</strong> which provides information about the value of the parameters in the main configuration of the problem. These parameters are:


	<strong>TruckSpeed: </strong>Speed in mpm (miles per minute) of the trucks.
	<strong>DroneSpeed: </strong>Speed in mpm of the drones.
	<strong>TruckCapacityWithDrones: </strong>Maximum capacity of the trucks for the drone-truck scenario.
	<strong>TruckCapacityWithoutDrones: </strong>Maximum capacity of the trucks for the truck-only scenario.
	<strong>DroneCapacity:</strong> Maximum allowed weight a drone can carry.
	<strong>ServiceTimeTruck:</strong> Required service time for a truck to service a customer.
	<strong>ServiceTimeDrone:</strong> Required service time for a drone to service a customer.
	<strong>Endurance: </strong>Maximum flight endurance of the battery of the drone.
	<strong>MaximumDriveTime: </strong>Maximum duration time of the routes.
	<strong>LaunchTime: </strong>Required time for launching a drone.
	<strong>RecoveryTime: </strong>Required time for recovering a drone.
	<strong>CostFactor:</strong> Corresponding parameter for computing the cost for a truck for traversing arc (i,j), given by fuel price (euro/liter), consumption rate (liter/km) and miles converter (km/miles).
	<strong>DroneFactor: </strong>Corresponding parameter for computing the cost for a drone for traversing arc (i,j) with respect to the truck cost.
DOI: 10.5517/ccdc.csd.cc1qc069
title: CCDC 1589500: Experimental Crystal Structure Determination

description: Related Article: Saurav Bhattacharya,  Wassim W. Ayass,  Dereje H. Taffa,  Andreas Schneemann,  A. Lisa Semrau,  Suttipong Wannapaiboon,  Philipp J. Altmann,  Alexander Pöthig,  Talha Nisar,  Torsten Balster,  Nicholas C. Burtch,  Veit Wagner,  Roland A. Fischer,  Michael Wark,  Ulrich Kortz|2019|J.Am.Chem.Soc.|141|3385|doi:10.1021/jacs.8b13397
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.