cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/21256368
title: Figures resulting from the research into Preventing bird strikes: testing an artificial predator, the RobotFalcon, to deter flocks of birds

description: This dataset contains the data for the article: "Improved deterrence of birds using an artificial predator, the RobotFalcon". <br> Figures 3 and s2: The responses of bird flocks to deterrence by a RobotFalcon, a DJI Mavic Pro drone and control (no action). The data concerns the amount of brief landings the birds performed when flown at with the RobotFalcon and drone and the time it took for the flocks to fly away. <br> Figures 4 and 5: Data on the distance at which flocks initiated flight to a RobotFalcon and the frequency of collective escape exhibited by flocks hunted by a RobotFalcon and a drone. Figure 6: The time it takes for birds to return after deterrence by a RobotFalcon at Workum and by regular deterrence methods (pyrotechnics and distress calls) used at airbase Leeuwarden.
DOI: 10.4121/21220352.v1
title: Data underlying the publication "Rapid change of friction causes the illusion of touching a receding surface"

description: The dataset contains the processed supporting data for the publication entitled "Rapid change of friction causes the illusion of touching a receding surface" under review in Royal Society Interface. In this paper, we elucidate the effects of changes in the frictional properties during an initial contact. The raw data include images of the participants' fingerprints, which are sensitive, so they will be available only upon request. To know more about each file, please read the README file.
DOI: 10.4121/21220352
title: Data underlying the publication "Rapid change of friction causes the illusion of touching a receding surface"

description: The dataset contains the processed supporting data for the publication entitled "Rapid change of friction causes the illusion of touching a receding surface" under review in Royal Society Interface. In this paper, we elucidate the effects of changes in the frictional properties during an initial contact. The raw data include images of the participants' fingerprints, which are sensitive, so they will be available only upon request. To know more about each file, please read the README file.
DOI: 10.4121/21222371
title: Data underlying the article: Early fatigue damage accumulation of CFRP Cross-Ply laminates considering size and stress level effects

description: Ply-block size and stress level effect on accumulation of transverse cracks and delamination are investigated during early fatigue life of CFRP laminates. Tension-tension fatigue tests under different stress levels were performed for two cross-ply configurations. Edge observation with digital cameras, digital image correlation and acoustic emission were employed for in-situ damage monitoring. Transverse cracks were dominant for [0/90<sub>2</sub>]<sub>s</sub> laminates with almost non-existent delamination, while different interactive levels between both damage mechanisms occurred for [0<sub>2</sub>/90<sub>4</sub>]<sub>s</sub> laminates. Poisson’s ratio identifies whether early fatigue damage is dominant by transverse cracks or involves delamination. Cumulative AE energy is a helpful indicator of crack density.
DOI: 10.4121/21222371.v1
title: Data underlying the article: Early fatigue damage accumulation of CFRP Cross-Ply laminates considering size and stress level effects

description: Ply-block size and stress level effect on accumulation of transverse cracks and delamination are investigated during early fatigue life of CFRP laminates. Tension-tension fatigue tests under different stress levels were performed for two cross-ply configurations. Edge observation with digital cameras, digital image correlation and acoustic emission were employed for in-situ damage monitoring. Transverse cracks were dominant for [0/90<sub>2</sub>]<sub>s</sub> laminates with almost non-existent delamination, while different interactive levels between both damage mechanisms occurred for [0<sub>2</sub>/90<sub>4</sub>]<sub>s</sub> laminates. Poisson’s ratio identifies whether early fatigue damage is dominant by transverse cracks or involves delamination. Cumulative AE energy is a helpful indicator of crack density.
DOI: 10.4121/20496108
title: Figures created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification"

description: This dataset contains figures created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification". The proposed UQ approach is applied to estimate the uncertainties in time-averaged velocity and Reynold normal stresses in planar PIV measurements of the flow over a NACA0012 airfoil. The approach is also used to the investigation by stereoscopic PIV of the flow at the outlet of a ducted Boundary Layer Ingesting (BLI) propulsor. The figures in this dataset show the results from these two experimental cases.
DOI: 10.4121/21031981
title: Data from long-running green water experiments in various sea states at model scale

description: This is a data set from a model experiment at scale about green water loading on the deck of ship model no. 523 from the Delft Systematic Deadrise Series. The experiment was conducted as the first phase of Work Package B in the “Multi-fidelity probabilistic design framework for complex marine structures” project. The idea of the experiments is to use the wave-current tank at the faculty of 3mE of the Delft University of Technology, in which the model is stationary and water and waves flow past the ship model, allowing for long testing times. The long testing times have resulted in statistically relevant data for green water events. The data set contains all measured data (wave elevation, motions, resistance, pressures, etc.) for 11 different test cases, all long-running tests in irregular waves. Over the 11 test cases the modelled forward speed, the sea state and the draft of the vessel were varied. A first article has been written on the basis of the data. It also contains a description of the setup of the experiment. Please cite it as follows when using the data (bibtex at the bottom of this description): Boon, A. D. and Wellens, P. R. (2022) ‘Probability and distribution of green water events and pressures’, Ocean Engineering. Elsevier Ltd, 264(August), p. 112429. doi: 10.1016/j.oceaneng.2022.112429. The data itself can also be referenced. Please cite it as follows (bibtex at the bottom of this description): Wellens, P.R., Boon, A.D. (2022) 'Data from long-running green water experiments in various sea states at model scale (Repository)'. 4TU.ResearchData, URL https: //doi.org/10.4121/21031981. For further information you can reach us through our contact info: Anna Boon (a.d.boon@tudelft.nl/adymfnaboon@gmail.com) Peter Wellens (p.r.wellens@tudelft.nl) <br>
DOI: 10.4121/21031981.v1
title: Data from long-running green water experiments in various sea states at model scale

description: This is a data set from a model experiment at scale about green water loading on the deck of ship model no. 523 from the Delft Systematic Deadrise Series. The experiment was conducted as the first phase of Work Package B in the “Multi-fidelity probabilistic design framework for complex marine structures” project. The idea of the experiments is to use the wave-current tank at the faculty of 3mE of the Delft University of Technology, in which the model is stationary and water and waves flow past the ship model, allowing for long testing times. The long testing times have resulted in statistically relevant data for green water events. The data set contains all measured data (wave elevation, motions, resistance, pressures, etc.) for 11 different test cases, all long-running tests in irregular waves. Over the 11 test cases the modelled forward speed, the sea state and the draft of the vessel were varied. A first article has been written on the basis of the data. It also contains a description of the setup of the experiment. Please cite it as follows when using the data (bibtex at the bottom of this description): Boon, A. D. and Wellens, P. R. (2022) ‘Probability and distribution of green water events and pressures’, Ocean Engineering. Elsevier Ltd, 264(August), p. 112429. doi: 10.1016/j.oceaneng.2022.112429. The data itself can also be referenced. Please cite it as follows (bibtex at the bottom of this description): Wellens, P.R., Boon, A.D. (2022) 'Data from long-running green water experiments in various sea states at model scale (Repository)'. 4TU.ResearchData, URL https: //doi.org/10.4121/21031981. For further information you can reach us through our contact info: Anna Boon (a.d.boon@tudelft.nl/adymfnaboon@gmail.com) Peter Wellens (p.r.wellens@tudelft.nl) <br>
DOI: 10.25592/uhhfdm.10796
title: Studies on the Impact of the Booking Status on Customers' Choice Behavior in Online Appointment Systems - Data

description: This data set includes the data used in our paper about studies on the Impact of the Booking Status on Customers’ Choice Behavior in Online Appointment Systems. "Rep_Surveys_QIE_SCAR.zip" contains the data of Survey I and Survey II while "Roustness_Check.zip" contains the data of the robustness check with follow-up experiments.<br>
DOI: 10.25592/uhhfdm.9618
title: Studies on the Impact of the Booking Status on Customers' Choice Behavior in Online Appointment Systems - Data

description: This data set includes the data used in our paper about studies on the Impact of the Booking Status on Customers’ Choice Behavior in Online Appointment Systems. "Rep_Surveys_QIE_SCAR.zip" contains the data of Survey I and Survey II while "Roustness_Check.zip" contains the data of the robustness check with follow-up experiments.<br>
DOI: 10.25592/uhhfdm.9619
title: Studies on the Impact of the Booking Status on Customers' Choice Behavior in Online Appointment Systems - Data

description: This data set includes the data used in our paper about studies on the Impact of the Booking Status on Customers’ Choice Behavior in Online Appointment Systems.
DOI: 10.6084/m9.figshare.21265974.v1
title: MainDataSet_Photosynthetic carbon uptake correlates with cell protein content during lipid accumulation in the microalgae Chlorella vulgaris NIES 227

description: This data set gather all the results used in the anlysis of the study " Photosynthetic carbon uptake correlates with cell protein content during lipid accumulation in the microalgae <em>Chlorella vulgaris</em> NIES 227". <br> It consists in an excel file, each row corresponding to a date of anlysis and each column corresponding to a measurement performed.
DOI: 10.18112/openneuro.ds003404.v1.0.1
title: Brain Network Mechanisms of Visual Shape Completion
DOI: 10.5519/qd.gtae6xqa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (678914 records)
DOI: 10.6084/m9.figshare.21265983
title: Repository_oximetryData_Photosynthetic carbon uptake correlates with cell protein content during lipid accumulation in the microalgae Chlorella vulgaris NIES 227

description: This repository contain all the raw data obtained from the recording of oxymetric experiments using Qubit OX1LP-6 set-up. The repository contains one file per day a measurement was performed, identified with date in the file title. All files are in the form of .csv.
DOI: 10.5517/ccdc.csd.cc2c438x
title: CCDC 2178688: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43d1
title: CCDC 2178692: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43f2
title: CCDC 2178693: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43g3
title: CCDC 2178694: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43j5
title: CCDC 2178696: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Carola Dürauer, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43k6
title: CCDC 2178697: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Carola Dürauer, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43m8
title: CCDC 2178699: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Stefan Holler, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43pb
title: CCDC 2178701: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Melanie Ramböck, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c43qc
title: CCDC 2178702: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Melanie Ramböck, Nadia C. Mösch-Zanetti|2022|CSD Communication|||
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.cc2c6sm0
title: CCDC 2181272: Experimental Crystal Structure Determination

description: Related Article: Kende Attila Béres, Zoltán Homonnay, Libor Kvitek, Zsolt Dürvanger, Martina Kubikova, Veronika Harmat, Fanni Szilágyi, Zsuzsanna Czégény, Péter Németh, Laura Bereczki, Vladimir M. Petruševski, Mátyás Pápai, Attila Farkas, László Kótai|2022|Inorg.Chem.|61|14403|doi:10.1021/acs.inorgchem.2c02265
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: 10.18112/openneuro.ds004080.v1.0.1
title: CCEP ECoG dataset across age 4-51
DOI: 10.21415/cg08-3q72
title: PLAY Corpus
DOI: 10.15139/s3/exu1xt
title: Quality of Tuberculosis Services Assessment (QTSA) in Afghanistan

description: The Quality of Tuberculosis Services Assessment (QTSA) is conducted with the support of four tools: the Facility Audit, the Provider Interview, the Patient Interview, and the Register Review. MEASURE Evaluation—a project funded by the United States Agency for International Development (USAID)—developed these four tools with the assistance of colleagues at USAID, for use by any country. When MEASURE Evaluation ended in 2020, the QTSA portfolio was integrated into the TB Data, Impact Assessment and Communications Hub (TB DIAH) project, an associate award of MEASURE Evaluation. The tools in this case have been adapted for Afghanistan to conduct a QTSA. They have been customized to fit the priorities and context specifically for use in Afghanistan, including a Facility Audit and Patient Interview as part of a custom module on COVID-19, and two additional tools aimed at specific TB care providers: community health workers and health providers at diabetes centers.
DOI: 10.5066/p9r78sq6
title: Priority Toxic Contaminant Metadata Inventory and Associated Total Polychlorinated Biphenyls Concentration Data

description: In June 2019, the U.S. Geological Survey Maryland-Delaware-District of Columbia Water Science Center (MD-DE-DC WSC) team began to collect and inventory available information on toxic contaminants within the Chesapeake Bay Watershed. State agencies were contacted to determine available data. Also, the National Water Information System (NWIS) and National Water Quality Database (NWQD) were queried to gather relevant data for the compilation. The resulting tables contain records for available sites where specific analyte groups, Hg (mercury), PCB (polychlorinated biphenyls), or pesticides, have been collected with appropriate supplemental metadata including media, method, time frame, and frequency of collection. Sample results span 1938-2019. Files included in the data release: Basic_Table.csv Detailed_Table.csv NWIS_Parameter_Codes.csv NWIS_PCB_Totals.csv State_PCB_Totals.csv
DOI: 10.5281/zenodo.7140640
title: Roasting_Twitter_Experiment_Main_Study

description: The database contains the data from a survey created on Qualtrics. Procedure: Participants were told that when they checked their preferred SNS page, they observed communication between two brands. First, the “main” brand initiated the conversation. After a five-second delay, a “paired” brand responded. After another five-second delay, “main” brand responded to the message from paired brand. We used a short delay (five-second) in each step of communication to prevent the coattail effect (Cunha Jr, Forehand, & Angle, 2015). After reading the scenarios, participants responded to a series of questions. We used measures of brand coolness (Im, Bhat, and Lee (2015); α = .873), brand sincerity (Shin and Larson (2020); α = .847), perceived humor (Eisend (2009)) and consumer’s personality (Rammstedt and John (2007); α = .903). At the end of the survey, participants answered demographic questions.
DOI: 10.5281/zenodo.7140639
title: Roasting_Twitter_Experiment_Main_Study

description: The database contains the data from a survey created on Qualtrics. Procedure: Participants were told that when they checked their preferred SNS page, they observed communication between two brands. First, the “main” brand initiated the conversation. After a five-second delay, a “paired” brand responded. After another five-second delay, “main” brand responded to the message from paired brand. We used a short delay (five-second) in each step of communication to prevent the coattail effect (Cunha Jr, Forehand, & Angle, 2015). After reading the scenarios, participants responded to a series of questions. We used measures of brand coolness (Im, Bhat, and Lee (2015); α = .873), brand sincerity (Shin and Larson (2020); α = .847), perceived humor (Eisend (2009)) and consumer’s personality (Rammstedt and John (2007); α = .903). At the end of the survey, participants answered demographic questions.
DOI: 10.6084/m9.figshare.21266123
title: Locally sparse function-on-function regression

description: In functional data analysis, functional linear regression has attracted significant attention recently. Herein, we consider the case where both the response and covariates are functions. There are two available approaches for addressing such a situation: concurrent and nonconcurrent functional models. In the former, the value of the functional response at a given domain point depends only on the value of the functional regressors evaluated at the same domain point, whereas, in the latter, the functional covariates evaluated at each point of their domain have a non-null effect on the response at any point of its domain. To balance these two extremes, we propose a locally sparse functional regression model in which the functional regression coefficient is allowed (but not forced) to be exactly zero for a subset of its domain. This is achieved using a suitable basis representation of the functional regression coefficient and exploiting an overlapping group-Lasso penalty for its estimation. We introduce efficient computational strategies based on majorization-minimization algorithms and discuss appealing theoretical properties regarding the model support and consistency of the proposed estimator. We further illustrate the empirical performance of the method through simulations and two applications related to human mortality and bidding in energy markets.