cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26024/509v-fg87
title: Robust and Nonrobust Aspects of AMOC Variability and Mechanisms in CESM

description: Robust and nonrobust aspects of Atlantic meridional overturning circulation (AMOC) variability and mechanisms are analyzed in several 600-yr simulations with the Community Earth System Model. The simulations consist of a set of cases where a few loosely constrained ocean model parameter values are changed, a pair of cases where round-off level perturbations are applied to the initial atmospheric temperature field, and a millennium-scale integration. The time scales of variability differ among the cases with the dominant periods ranging from decadal to centennial. These dominant periods are not stationary in time, indicating that a robust characterization of AMOC temporal variability requires long, multimillennium-scale simulations. A robust aspect is that positive anomalies of the Labrador Sea (LS) upper-ocean density and boundary layer depth and the positive phase of the North Atlantic Oscillation lead AMOC strengthening by 2–3 years. Respective contributions of temperature and salinity to these density anomalies vary across the simulations, but in a majority of the cases temperature contributions dominate. Following an AMOC intensification, all cases show that advection of warm and salty waters into the LS region results in near-neutral density anomalies. Analysis of the LS heat budget indicates that temperature acts to increase density in all cases prior to an AMOC intensification, primarily due to losses by sensible and latent heat fluxes. The accompanying salt budget analysis reveals that the salt contribution to density anomalies varies across the cases, taking both positive and negative values.

This dataset contains an ensemble of fully coupled CESM1 sensitivity experiments where select ocean model parameter are changed within acceptable ranges to investigate their impact on AMOC. All simulations are 600 years long, and monthly means are available over the North Atlantic region (80W-60E ; 40N-75N).
DOI: 10.5281/zenodo.8011660
title: "Standing Up for Earth rights": Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors

description: Dataset of the article "Standing Up for Earth rights”: Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors Abstract: Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, such as awe, needs to be fully elucidated. Awe is an emotion stemming from vast stimuli, including nature, and virtual reality (VR) emerged as an effective medium to elicit it. One hundred nineteen participants were exposed to either one of four VR environments: (a) an awe-inspiring virtual nature, (b) a non-natural awe-inspiring virtual scenario, (c) a non-awe-inspiring virtual nature, (d) a non-natural non-awe-inspiring scenario. Pro-environmental attitudes, intentions, discrete emotions, and affect were measured and compared across the different conditions. Two ad hoc tasks were developed to measure two pro-environmental behaviors after each VR exposure. Participants were invited to sign a real petition against plastic production, consumption, and in favor of plastic recycling (a personally engaging behavior), and to take flyers to spread the word on the petition to friends and acquaintances (a socially engaging behavior). Aweinspiring virtual nature resulted in a significantly increased number of flyers taken by participants (vs. control). Disposition toward the protection of the environment, positive emotional affect, and condition significantly correlated with the number of flyers taken. These results indicated that awe-inspiring virtual nature can influence socially engaging pro-environmental attitudes and behaviors but not personally engaging ones.
DOI: 10.5281/zenodo.8011659
title: "Standing Up for Earth rights": Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors

description: Dataset of the article "Standing Up for Earth rights”: Awe-Inspiring Virtual Nature for Promoting Pro-Environmental Behaviors Abstract: Virtual nature exposure has emerged as an effective method for promoting pro-environmental attitudes and behaviors, also due to the increased emotional connection with nature itself. However, the role played by complex emotions elicited by virtual nature, such as awe, needs to be fully elucidated. Awe is an emotion stemming from vast stimuli, including nature, and virtual reality (VR) emerged as an effective medium to elicit it. One hundred nineteen participants were exposed to either one of four VR environments: (a) an awe-inspiring virtual nature, (b) a non-natural awe-inspiring virtual scenario, (c) a non-awe-inspiring virtual nature, (d) a non-natural non-awe-inspiring scenario. Pro-environmental attitudes, intentions, discrete emotions, and affect were measured and compared across the different conditions. Two ad hoc tasks were developed to measure two pro-environmental behaviors after each VR exposure. Participants were invited to sign a real petition against plastic production, consumption, and in favor of plastic recycling (a personally engaging behavior), and to take flyers to spread the word on the petition to friends and acquaintances (a socially engaging behavior). Aweinspiring virtual nature resulted in a significantly increased number of flyers taken by participants (vs. control). Disposition toward the protection of the environment, positive emotional affect, and condition significantly correlated with the number of flyers taken. These results indicated that awe-inspiring virtual nature can influence socially engaging pro-environmental attitudes and behaviors but not personally engaging ones.
DOI: 10.48690/1529121
title: LandScan HD Belarus v1.0

description: LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using a 'bottom-up' approach where high resolution population estimates are not dependent on a recently conducted, high quality census. This approach is particularly useful for parts of the world that regularly experience large changes in population distribution due to rapid growth, natural hazards, or conflict.
DOI: 10.17909/9jdz-3t89
title: data from the paper
DOI: 10.5517/ccdc.csd.cc24sd7l
title: CCDC 1989649: Experimental Crystal Structure Determination

description: Related Article: N.ARUNADEVI, P.KANCHANA, M.SWATHIKA, B.PRABHA DEVI|2023|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.cc288x0h
title: CCDC 2093926: Experimental Crystal Structure Determination

description: Related Article: Cheng Yi, Yin-Shan Meng, Liang Zhao, Nian-Tao Yao, Qiang Liu, Wen Wen, Rui-Xia Li, Yuan-Yuan Zhu, Hiroki Oshio, Tao Liu|2023|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.cc2bs48k
title: CCDC 2168148: Experimental Crystal Structure Determination

description: Related Article: Sebastian Ehrling, Irena Senkovska, Anastasia Efimova, Volodymyr Bon, Leila Abylgazina, Petko Petkov, Jack Evans, Ahmed Gamal, Attallah Elsherif, Michael Wharmby, Mariia Roslova, Zhehao Huang, Alexander Krylov, Hideki Tanaka, Peer Schmid, Stefan Kaskel|2023|CSD Communication|||
description: Related Article: Sebastian Ehrling, Irena Senkovska, Anastasia Efimova, Volodymyr Bon, Leila Abylgazina, Petko Petkov, Jack Evans, Ahmed Gamal, Attallah Elsherif, Michael Wharmby, Mariia Roslova, Zhehao Huang, Alexander Krylov, Hideki Tanaka, Peer Schmid, Stefan Kaskel|2022|Chem.-Eur.J.|28|202201281|doi:10.1002/chem.202201281
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.cc2dcctz
title: CCDC 2215471: Experimental Crystal Structure Determination

description: Related Article: Harindu Rajapaksha, Logan J. Augustine, Sara E. Mason, Tori Z. Forbes|2023|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.cc2dmp5x
title: CCDC 2223449: Experimental Crystal Structure Determination

description: Related Article: Libby J. Marshall, Matthew Wallace, Najet Mahmoudi, Giuseppe Ciccone, Claire Wilson, Massimo Vassalli and Dave J. Adams|2023|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.cc2dp8yb
title: CCDC 2224992: Experimental Crystal Structure Determination

description: Related Article: Yao Li, Jun Zhang, Mengyao She, Lang Liu, Zheng Yang, Ping Liu, Shengyong Zhang, Jianli Li|2023|Green Chemistry|25|4302|doi:10.1039/D3GC00664F
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.cc2f4m8h
title: CCDC 2238766: Experimental Crystal Structure Determination

description: Related Article: Shenghang Zhang|2023|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.cc2f62mc
title: CCDC 2240172: Experimental Crystal Structure Determination

description: Related Article: William Lewis|2023|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.cc2f62nd
title: CCDC 2240173: Experimental Crystal Structure Determination

description: Related Article: William Lewis|2023|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.cc2f636z
title: CCDC 2240190: Experimental Crystal Structure Determination

description: Related Article: Mikko Hänninen, Reijo Sillanpää|2023|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.cc2f6493
title: CCDC 2240224: Experimental Crystal Structure Determination

description: Related Article: Sam Y. Thompson|2023|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.cc2f68kh
title: CCDC 2240356: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2023|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.cc2f68mk
title: CCDC 2240358: Experimental Crystal Structure Determination

description: Related Article: Ryoji Tanaka|2023|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.cc2f6rn2
title: CCDC 2240824: Experimental Crystal Structure Determination

description: Related Article: Can Wang|2023|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.cc2f6rv8
title: CCDC 2240830: Experimental Crystal Structure Determination

description: Related Article: Xin Wang|2023|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.cc2f6rw9
title: CCDC 2240831: Experimental Crystal Structure Determination

description: Related Article: Can Wang|2023|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.cc2f6ryc
title: CCDC 2240833: Experimental Crystal Structure Determination

description: Related Article: Xin Wang|2023|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.cc2f6x2n
title: CCDC 2240961: Experimental Crystal Structure Determination

description: Related Article: Mikko Hänninen, Reijo Sillanpää|2023|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.cc2f71tk
title: CCDC 2241108: Experimental Crystal Structure Determination

description: Related Article: Brendan F. Abrahams, Christopher J. Commons, Timothy A. Hudson|2023|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.cc2f7kqz
title: CCDC 2241601: Experimental Crystal Structure Determination

description: Related Article: Eleanor Dodd, Simon J. Coles, Terry L. Threlfall, Liam Oliver|2023|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.cc2f7494
title: CCDC 2241185: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan|2023|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: 10.5281/zenodo.8003771
title: 802.11 Managemement frames from a public location

description: <strong>About</strong> The following datasets were captured at a busy Belgian train station between 9pm and 10pm, it contains all 802.11 management frames that were captured. both datasets were captured with approximately 20 minutes between then. Both datasets are represented by a pcap and CSV file. The CSV file contains the frame type, timestamps, signal strength, SSID and MAC addresses for every frame. In the pcap file, all generic 802.11 elements were removed for anonymization purposes. <strong>Anonymization</strong> All frames were anonymized by removing identifying information or renaming identifiers. Concretely, the following transformations were applied to both datasets: All MAC addresses were renamed (e.g. 00:00:00:00:00:01) All SSID's were renamed (e.g. NETWORK_1) All generec 802.11 elements were removed from the pcap In the pcap file, anonymization actions could lead to "corrupted" frames because length tags do not correspond with the actual data. However, the file and its frames are still readable in packet analyzing tools such as Wireshark or Scapy. The script which was used to anonymize is available in the dataset. <strong>Data</strong> Specifications for the datasets N/o Dataset 1 dataset 2 Frames 36306 60984 Beacon frames 19693 27983 Request frames 798 1580 Response frames 15815 31421 Identified Wi-Fi Networks 54 70 Identified MAC addresses 2092 2705 Identified Wireless devices 128 186 Capturetime 480s 422s <strong>Dataset contents</strong> The two datasets are stored in the directories `1/` and `2/`. Each directory contains: `capture-X.pcap`: an anonymized version of the original capture `capture-X.csv`: content of each captured frame (timestamp, MAC address...) saved as a CSV file `anonymization.py` is the script which was used to remove identifiers. `README.md` contains the documentation about the datasets <strong>License</strong> Copyright 2022-2023 Benjamin Vermunicht, Beat Signer, Maxim Van de Wynckel, Vrije Universiteit Brussel Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the “Dataset”), to deal in the Dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the Dataset is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions that make use of the Dataset. THE DATASET IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE DATASET.