cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/21740024.v1
title: Data underlying the publication 'Enhancing Desirable Food Behaviors by Increasing or Decreasing Disgust: Designing and Testing Infographics'

description: We created stimuli (drawings with texts) that may be able to increase or decrease the purchasing of mushrooms, cheese, and meat. In Study 1 (N=429) we determined the familiarity, credibility and relevance of each aspect and measured emotional responses (pride, shame, admiration, contempt, joy, sadness, hope, fear, anger, satisfaction, desire, disgust, boredom, and fascination) to them. In Study 2 (N=307), we investigated to what extent four aspects combined in an infographic on a poster lessened or strengthened the emotional responses, purchase intention, and tendency to adapt behavior for the three products.<br>
DOI: 10.5281/zenodo.10400825
title: Data_Analysis_BASCULA_alcrlp_ver_1.2
DOI: 10.5281/zenodo.10400826
title: Data_Analysis_BASCULA_alcrlp_ver_1.2
DOI: 10.5281/zenodo.10276845
title: Synthetic Car Dataset

description: Vehicle detection is a very important aspect of computer vision application to aerial and satellite imagery, facilitating activities such as instance counting, velocity estimation, traffic predictions, etc. The feasibility of accurate vehicle detection often depends on limited training datasets, requiring a lot of manual work in collection and annotation tasks. Furthermore, there are no known publicly available datasets. Our aim was to construct a pipeline for synthetic dataset generation from aerial imagery and 3D models in Blender software. The dataset generation pipeline consists of seven steps and results in a wished number of images with bounding boxes in YOLO and coco formats. This synthetic dataset has been produced following the steps described in this pipeline. It consists of 5000 2048x2048 images with cars inserted into the roads and highways at the images without cars from all over the world. We believe that this dataset and the respective pipeline might be of great importance for vehicle detection, facilitating the customizability of the models to specific needs and context.
DOI: 10.5281/zenodo.10276846
title: Synthetic Car Dataset

description: Vehicle detection is a very important aspect of computer vision application to aerial and satellite imagery, facilitating activities such as instance counting, velocity estimation, traffic predictions, etc. The feasibility of accurate vehicle detection often depends on limited training datasets, requiring a lot of manual work in collection and annotation tasks. Furthermore, there are no known publicly available datasets. Our aim was to construct a pipeline for synthetic dataset generation from aerial imagery and 3D models in Blender software. The dataset generation pipeline consists of seven steps and results in a wished number of images with bounding boxes in YOLO and coco formats. This synthetic dataset has been produced following the steps described in this pipeline. It consists of 5000 2048x2048 images with cars inserted into the roads and highways at the images without cars from all over the world. We believe that this dataset and the respective pipeline might be of great importance for vehicle detection, facilitating the customizability of the models to specific needs and context.
DOI: 10.5281/zenodo.10392439
title: An improved marker for cytoplasmic protein aggregation in the budding yeast Saccharomyces cerevisiae

description: CUP1-ΔssCPY*-mGFP cytoplasmic aggregates characterisation (confocal images)
DOI: 10.5281/zenodo.10392440
title: An improved marker for cytoplasmic protein aggregation in the budding yeast Saccharomyces cerevisiae

description: CUP1-ΔssCPY*-mGFP cytoplasmic aggregates characterisation (confocal images)
DOI: 10.5281/zenodo.10390210
title: DETERMINISTIC6G COTS 5G latency measurements

description: Measurement setup and dataset overview

The dataset contains the data collected during the latency measurements performed on a COTS 5G system. The 5G network operates in band 78, in TDD mode, with a total of 106 PRBs which occupies 40 MHz of bandwidth. The latency (one-way delay) samples were collected in both uplink and downlink directions using the irtt tool running on the end node (connected to the UE) and the edge node (connected to the 5G gateway). The clocks in the 5G system, end node and edge node were precisely (<200ns) synchronized using Precision Time Protocol (PTP). In addition to recording send and receive timestamps, various network conditions were also recorded for each latency sample.The measurements were carried out in different sessions and for each session, there are about 1M samples in total which are contained in different parquet files corresponding to different rounds (30 mins) per session. Each session corresponds to a combination of direction (uplink or downlink), UE device, a packet interval and payload length, etc. A spreadsheet (COTS5G measurement campaign.xlsx) in this directory contains the information detailed information on the combination for each session.

Acknowledgements 

This work was supported by the European Commission through the H2020 project DETERMINISTIC6G (Grant Agreement no. 101096504).
DOI: 10.5281/zenodo.10390211
title: DETERMINISTIC6G COTS 5G latency measurements

description: Measurement setup and dataset overview

The dataset contains the data collected during the latency measurements performed on a COTS 5G system. The 5G network operates in band 78, in TDD mode, with a total of 106 PRBs which occupies 40 MHz of bandwidth. The latency (one-way delay) samples were collected in both uplink and downlink directions using the irtt tool running on the end node (connected to the UE) and the edge node (connected to the 5G gateway). The clocks in the 5G system, end node and edge node were precisely (<200ns) synchronized using Precision Time Protocol (PTP). In addition to recording send and receive timestamps, various network conditions were also recorded for each latency sample.The measurements were carried out in different sessions and for each session, there are about 1M samples in total which are contained in different parquet files corresponding to different rounds (30 mins) per session. Each session corresponds to a combination of direction (uplink or downlink), UE device, a packet interval and payload length, etc. A spreadsheet (COTS5G measurement campaign.xlsx) in this directory contains the information detailed information on the combination for each session.

Acknowledgements 

This work was supported by the European Commission through the H2020 project DETERMINISTIC6G (Grant Agreement no. 101096504).
DOI: 10.6084/m9.figshare.24559795
title: DATA: The optimal choice of trap type for recently spreading jewel beetle pests, <i>Lamprodila festiva</i> and <i>Agrilus sinuatus</i> (Coleoptera, Buprestidae)

description: Two jewel beetle species native to Europe, the cypress jewel beetle, <i>Lamprodila</i> (<i>Palmar, Ovalisia</i>) <i>festiva</i> L. (Buprestidae, Coleoptera) and the sinuate pear tree borer, <i>Agrilus sinuatus</i> Olivier (Buprestidae, Coleoptera), are key pests of ornamental thuja and junipers, and of orchard and ornamental rosaceous trees, respectively. Although chemical control measures are available, due to the beetles’ small size, agility and cryptic lifestyle at the larval stage, efficient tools for their detection and monitoring are missing. Consequently, by the time emerging jewel beetle adults are noticed, the trees are typically significantly damaged. Thus, the aim of this study was to initiate the development of monitoring traps. Transparent, light green and purple sticky sheets and multifunnel traps were compared in field experiments in Hungary. Light green and transparent sticky traps caught more <i>L. festiva</i> and <i>A. sinuatus</i> jewel beetles than non-sticky multifunnel traps, regardless of the larger size of the coloured surface of the funnel traps. Although light green sticky sheets turned out to be optimal for both species, using transparent sheets can reduce catches of non-target insects. The key to the effectiveness of sticky traps may lie in the behavioural responses of the beetles to the optical features of the traps.
DOI: 10.5281/zenodo.10397399
title: European Multilingual News Articles Dataset with Topic Annotation

description: The European Multilingual News Articles Dataset is composed of over 18 million European news articles coming from 205 media outlets belonging to 27 European countries (i.e., all EU countries belonging to the European Union) with the addition of the United Kingdom. Articles range in a time period from 2017 to 2021 and are written in their original languages, for a total of 23 different languages included.

After selecting reliable, nationwide European media outlets, each article (i.e., title, textual content, URL, and date and time of publication) was extracted from the Common Crawl News Corpus, which contains petabytes of raw web page data collected since 2016. The dataset is released without any text pre-processing other than a cleanup of XML tags. Further, we enriched it by adding several media metadata (e.g., frequency of publication, distribution area, language, type of media).  

Moreover, we enhanced the dataset by adding - whenever possible - article-level topic annotation by using articles' URLs as a proxy of the topic discussed. In the end, we were able to assign a topic to over 4 million articles (33 unique topics, e.g., politics, sport, entertainment), thus 23.2% of the entire dataset. Further, from URLs, we also extract the types of over 4 million articles (15 unique article types, e.g., news, international, multimedia).
DOI: 10.5281/zenodo.10400862
title: Tectonic tremors in Taiwan

description: Supporting Information for "Spatiotemporal characteristics of tectonic tremors in a collisional orogen of Taiwan" by Satoshi Ide and Kate Huihsuan Chen, submitted to Geophysical Research Letters.

Table S1. Tectonic tremors determined in this study. Each column shows year, month, day, hour, minutes, seconds, latitude (degree), longitude (degree), depth (km), Me, duration (s), latitude error (km), longitude error (km), depth error (km), # of pairs.
DOI: 10.6084/m9.figshare.24849735
title: Number of visits and removed fruits by several frugivores in three Iberian pear, Pyrus bourgaeana, populations of southern Spain

description: Number of visits and removed fruits by several frugivores in three Iberian pear, <i>Pyrus bourgaeana</i>, populations of southern Spain as revealed by camera-trapping.
DOI: 10.6084/m9.figshare.24849735.v1
title: Number of visits and removed fruits by several frugivores in three Iberian pear, Pyrus bourgaeana, populations of southern Spain

description: Number of visits and removed fruits by several frugivores in three Iberian pear, <i>Pyrus bourgaeana</i>, populations of southern Spain as revealed by camera-trapping.
DOI: 10.5281/zenodo.10400869
title: Experimental Data for Broadband Thermal Imaging using Meta-Optics
DOI: 10.5281/zenodo.10400870
title: Experimental Data for Broadband Thermal Imaging using Meta-Optics
DOI: 10.5517/ccdc.csd.cc28k3b9
title: CCDC 2101810: Experimental Crystal Structure Determination

description: Related Article: Li Tang, Yuting Luo, Xiaoshuang Ma, Bin Wang, Mei Ding, Ru Wang, Pu Wang, Yong Pei, Shuxin Wang|2023|Angew.Chem.,Int.Ed.|62|e202300553|doi:10.1002/anie.202300553
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.cc2d1zl1
title: CCDC 2206443: Experimental Crystal Structure Determination

description: Related Article: Charlotte Koschnick, Maxwell W. Terban, Ruggero Frison, Martin Etter, Felix A. Böhm, Davide M. Proserpio, Simon Krause, Robert E. Dinnebier, Stefano Canossa, Bettina V. Lotsch|2023|J.Am.Chem.Soc.|145|10051|doi:10.1021/jacs.2c13731
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.cc2d22dz
title: CCDC 2206530: Experimental Crystal Structure Determination

description: Related Article: Charlotte Koschnick, Maxwell W. Terban, Ruggero Frison, Martin Etter, Felix A. Böhm, Davide M. Proserpio, Simon Krause, Robert E. Dinnebier, Stefano Canossa, Bettina V. Lotsch|2023|J.Am.Chem.Soc.|145|10051|doi:10.1021/jacs.2c13731
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.cc2d70h5
title: CCDC 2211276: Experimental Crystal Structure Determination

description: Related Article: Anssi Peuronen, Anni Taponen, Elina Kalenius, Ari Lehtonen, Manu Lahtinen|2023|Angew.Chem.,Int.Ed.|62|e202215689|doi:10.1002/anie.202215689
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.cc2d70j6
title: CCDC 2211277: Experimental Crystal Structure Determination

description: Related Article: Anssi Peuronen, Anni Taponen, Elina Kalenius, Ari Lehtonen, Manu Lahtinen|2023|Angew.Chem.,Int.Ed.|62|e202215689|doi:10.1002/anie.202215689
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.cc2d70k7
title: CCDC 2211278: Experimental Crystal Structure Determination

description: Related Article: Anssi Peuronen, Anni Taponen, Elina Kalenius, Ari Lehtonen, Manu Lahtinen|2023|Angew.Chem.,Int.Ed.|62|e202215689|doi:10.1002/anie.202215689
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.cc2d70l8
title: CCDC 2211279: Experimental Crystal Structure Determination

description: Related Article: Anssi Peuronen, Anni Taponen, Elina Kalenius, Ari Lehtonen, Manu Lahtinen|2023|Angew.Chem.,Int.Ed.|62|e202215689|doi:10.1002/anie.202215689
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.cc2d7tcv
title: CCDC 2212047: Experimental Crystal Structure Determination

description: Related Article: Ming Chen, Zhaoyin Zhang, Zihao Qiao, Lili Zhao, Zhenbo Mo|2023|Angew.Chem.,Int.Ed.|62|e202215146|doi:10.1002/anie.202215146
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.cc2d7tdw
title: CCDC 2212048: Experimental Crystal Structure Determination

description: Related Article: Ming Chen, Zhaoyin Zhang, Zihao Qiao, Lili Zhao, Zhenbo Mo|2023|Angew.Chem.,Int.Ed.|62|e202215146|doi:10.1002/anie.202215146
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.cc2d7tfx
title: CCDC 2212049: Experimental Crystal Structure Determination

description: Related Article: Ming Chen, Zhaoyin Zhang, Zihao Qiao, Lili Zhao, Zhenbo Mo|2023|Angew.Chem.,Int.Ed.|62|e202215146|doi:10.1002/anie.202215146
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.cc2d7tgy
title: CCDC 2212050: Experimental Crystal Structure Determination

description: Related Article: Ming Chen, Zhaoyin Zhang, Zihao Qiao, Lili Zhao, Zhenbo Mo|2023|Angew.Chem.,Int.Ed.|62|e202215146|doi:10.1002/anie.202215146
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.cc2dcdv1
title: CCDC 2215503: Experimental Crystal Structure Determination

description: Related Article: Huihui Xu, Arseni Kostenko, Catherine Weetman, Shiori Fujimori, Shigeyoshi Inoue|2023|Angew.Chem.,Int.Ed.|62|e202216021|doi:10.1002/anie.202216021
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.cc2dcdw2
title: CCDC 2215504: Experimental Crystal Structure Determination

description: Related Article: Huihui Xu, Arseni Kostenko, Catherine Weetman, Shiori Fujimori, Shigeyoshi Inoue|2023|Angew.Chem.,Int.Ed.|62|e202216021|doi:10.1002/anie.202216021
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.cc2dcdx3
title: CCDC 2215505: Experimental Crystal Structure Determination

description: Related Article: Huihui Xu, Arseni Kostenko, Catherine Weetman, Shiori Fujimori, Shigeyoshi Inoue|2023|Angew.Chem.,Int.Ed.|62|e202216021|doi:10.1002/anie.202216021
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.cc2dcdy4
title: CCDC 2215506: Experimental Crystal Structure Determination

description: Related Article: Huihui Xu, Arseni Kostenko, Catherine Weetman, Shiori Fujimori, Shigeyoshi Inoue|2023|Angew.Chem.,Int.Ed.|62|e202216021|doi:10.1002/anie.202216021
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.cc2d22td
title: CCDC 2206543: Experimental Crystal Structure Determination

description: Related Article: Charlotte Koschnick, Maxwell W. Terban, Ruggero Frison, Martin Etter, Felix A. Böhm, Davide M. Proserpio, Simon Krause, Robert E. Dinnebier, Stefano Canossa, Bettina V. Lotsch|2023|J.Am.Chem.Soc.|145|10051|doi:10.1021/jacs.2c13731
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.cc2dcdz5
title: CCDC 2215507: Experimental Crystal Structure Determination

description: Related Article: Huihui Xu, Arseni Kostenko, Catherine Weetman, Shiori Fujimori, Shigeyoshi Inoue|2023|Angew.Chem.,Int.Ed.|62|e202216021|doi:10.1002/anie.202216021
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.cc2dcp2k
title: CCDC 2215758: Experimental Crystal Structure Determination

description: Related Article: Charlotte Koschnick, Maxwell W. Terban, Ruggero Frison, Martin Etter, Felix A. Böhm, Davide M. Proserpio, Simon Krause, Robert E. Dinnebier, Stefano Canossa, Bettina V. Lotsch|2023|J.Am.Chem.Soc.|145|10051|doi:10.1021/jacs.2c13731
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.cc2f5661
title: CCDC 2239322: Experimental Crystal Structure Determination

description: Related Article: Youcong Li, Jian Su, Yue Zhao, Liang Feng, Lei Gao, Xinyu Xu, Ya Yin, Yifan Liu, Pengwei Xiao, Ling Yuan, Jun-Sheng Qin, Yuanyuan Wang, Shuai Yuan, He Zheng, Jing-Lin Zuo|2023|J.Am.Chem.Soc.|145|10227|doi:10.1021/jacs.3c01219
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.