cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8314887
title: EU- Level Survey Data on Potential of Bioenergy Market Uptake - BECoop project

description: <strong><em>Activity Description:</em></strong><br> In this initiative, a quantivie online survey was distributed via Social Media, email, and other communication channels (i.e. WhatsApp), with the aim of accumulating 500 responses. The survey was specifically directed towards RESCoop members, authorities, and policymakers across Europe. <strong><em>Purpose of the Surveys:</em></strong> A comprehensive survey was crafted with the primary purpose of gathering insights conserning mainly the potential expansion of the bioenergy market within RESCoops. To ensure effective communication with the target audience, the questionnaire was initially developed in English, and the project partners collaborated to translate it into the six languages of the consortium: French, German, Greek, Italian, Polish, and Spanish. This multilingual approach played a significant role in facilitating engagement. The translated survey was then administered online through a GDPR-compliant EU survey platform. Led by the pilot teams the survey's dissemination efforts acitively engaged the target audience, both within their respective regions and other european countries. The survey promotion phase spanned from February to May 2021, leveraging the extensive networks, social media accounts, websites, and communication channels of the BECoop project. The survey remained open until the end of the project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.
DOI: 10.5281/zenodo.8318773
title: EU- Level Survey Data on Potential of Bioenergy Market Uptake - BECoop project

description: <strong><em>Activity Description:</em></strong><br> In this initiative, a quantivie online survey was distributed via Social Media, email, and other communication channels (i.e. WhatsApp), with the aim of accumulating 500 responses. The survey was specifically directed towards RESCoop members, authorities, and policymakers across Europe. <strong><em>Purpose of the Surveys:</em></strong> A comprehensive survey was crafted with the primary purpose of gathering insights conserning mainly the potential expansion of the bioenergy market within RESCoops. To ensure effective communication with the target audience, the questionnaire was initially developed in English, and the project partners collaborated to translate it into the six languages of the consortium: French, German, Greek, Italian, Polish, and Spanish. This multilingual approach played a significant role in facilitating engagement. The translated survey was then administered online through a GDPR-compliant EU survey platform. Led by the pilot teams the survey's dissemination efforts acitively engaged the target audience, both within their respective regions and other european countries. The survey promotion phase spanned from February to May 2021, leveraging the extensive networks, social media accounts, websites, and communication channels of the BECoop project. The survey remained open until the end of the project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.
DOI: 10.5281/zenodo.8297713
title: zEPHYR - Urban Canopy

description: Open access database for the 3rd benchmark on Urban Canopy in zEPHYR.
DOI: 10.5281/zenodo.8297714
title: zEPHYR - Urban Canopy

description: Open access database for the 3rd benchmark on Urban Canopy in zEPHYR.
DOI: 10.6084/m9.figshare.24081438.v13
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.5281/zenodo.7123751
title: InnORBIT dissemination and communication plan and outcomes

description: The present dataset is generated in the frame of the Horizon 2020 project "InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to accelerate the commercialisation of space innovation" (innorbit.eu). This dataset describes the InnORBIT project's dissemination and communication plan and also includes the data collected from dissemination and communication activities to measure the progress against the project's targets for outreach during the first 18 months of project implementation (January 1st, 2021 - June 30th, 2022). <strong>This dataset will be updated in a second and final version, after the end of InnORBIT's grant duration in July 2023. The final version will provide a full dataset accounting for the project's outreach activities.</strong> This first version of the dataset contains the following files and documents: <strong>[InnORBIT-DisseminationCommunicationPlan_v2_20220929.pdf]: </strong>Final version of the project's Dissemination, Awareness raising and Communication Plan (DACP), that describes the key target audiences, key messages and value offered by InnORBIT through in terms of knowledge, services and solutions boosting entrepreneurship in the space industry and the digital tools offered via the InnORBIT digital toolbox. The InnORBIT DACP also describes the channels, tools and activities employed to reach out effectively the project's target groups. The core Key Performance Indicators (KPIs) that indicate the performance level of the project's strategy and indicates areas for improvement are outlined. The updated version also outlines the achievements of the project's dissemination for the first 18 months of implementation (January 2021 - June 2022). <strong>[InnORBIT_DisseminationActivities_Data_20220929. xlsx]: </strong>A spreadsheet used to collect raw data about the project's dissemination activities, calculate the InnORBIT's KPIs for Dissemination and Communication to track progress against targets. The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceOverview_20220929.pdf]: </strong>A Google Analytics report summarising InnORBIT website's audience demographics and overall page performance (visits, sessions, users). The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceAcquisition_20220929.pdf]: </strong>A Google Analytics report summarising the main sources generating traffic for the InnORBIT website and the bahaviour of users coming from each source. The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceBehaviour_20220929.pdf]: </strong>A Google Analytics report providing further insight on users' behaviour when using the InnORBIT website. The data span from January 1st, 2021 to June 30th, 2022.
DOI: 10.5281/zenodo.7125277
title: InnORBIT dissemination and communication plan and outcomes

description: The present dataset is generated in the frame of the Horizon 2020 project "InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to accelerate the commercialisation of space innovation" (innorbit.eu). This dataset describes the InnORBIT project's dissemination and communication plan and also includes the data collected from dissemination and communication activities to measure the progress against the project's targets for outreach during the first 18 months of project implementation (January 1st, 2021 - June 30th, 2022). <strong>This dataset will be updated in a second and final version, after the end of InnORBIT's grant duration in July 2023. The final version will provide a full dataset accounting for the project's outreach activities.</strong> This first version of the dataset contains the following files and documents: <strong>[InnORBIT-DisseminationCommunicationPlan_v2_20220929.pdf]: </strong>Final version of the project's Dissemination, Awareness raising and Communication Plan (DACP), that describes the key target audiences, key messages and value offered by InnORBIT through in terms of knowledge, services and solutions boosting entrepreneurship in the space industry and the digital tools offered via the InnORBIT digital toolbox. The InnORBIT DACP also describes the channels, tools and activities employed to reach out effectively the project's target groups. The core Key Performance Indicators (KPIs) that indicate the performance level of the project's strategy and indicates areas for improvement are outlined. The updated version also outlines the achievements of the project's dissemination for the first 18 months of implementation (January 2021 - June 2022). <strong>[InnORBIT_DisseminationActivities_Data_20220929. xlsx]: </strong>A spreadsheet used to collect raw data about the project's dissemination activities, calculate the InnORBIT's KPIs for Dissemination and Communication to track progress against targets. The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceOverview_20220929.pdf]: </strong>A Google Analytics report summarising InnORBIT website's audience demographics and overall page performance (visits, sessions, users). The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceAcquisition_20220929.pdf]: </strong>A Google Analytics report summarising the main sources generating traffic for the InnORBIT website and the bahaviour of users coming from each source. The data span from January 1st, 2021 to June 30th, 2022. <strong>[InnORBIT-WebsiteAnalytics-AudienceBehaviour_20220929.pdf]: </strong>A Google Analytics report providing further insight on users' behaviour when using the InnORBIT website. The data span from January 1st, 2021 to June 30th, 2022.
DOI: 10.6084/m9.figshare.24084009
title: Smart Poqueira_Page 1_Serie temporal (6).csv

description: Data from tal tal...
DOI: 10.6084/m9.figshare.24084009.v1
title: Smart Poqueira_Page 1_Serie temporal (6).csv

description: Data from tal tal...
DOI: 10.5281/zenodo.3610062
title: Dataset and description of an EnergyPLAN model of the Italian energy system in 2021

description: This document describes an EnergyPLAN model of the Italian energy systems for the year 2021. The dataset, consisting of the EnergyPLAN input files necessary to run the simulation, is also provided. See the EnergyPlan website (https://www.energyplan.eu/) for instructions.
DOI: 10.5281/zenodo.6447265
title: Dataset and description of an EnergyPLAN model of the Italian energy system in 2019

description: This document describes an EnergyPLAN model of the Italian energy systems for the year 2019. The dataset, consisting of the EnergyPLAN input files necessary to run the simulation, is also provided. See the EnergyPlan website (https://www.energyplan.eu/) for instructions.
DOI: 10.5281/zenodo.8318780
title: Dataset and description of an EnergyPLAN model of the Italian energy system in 2021

description: This document describes an EnergyPLAN model of the Italian energy systems for the year 2021. The dataset, consisting of the EnergyPLAN input files necessary to run the simulation, is also provided. See the EnergyPlan website (https://www.energyplan.eu/) for instructions.
DOI: 10.6084/m9.figshare.24077667
title: Autonomous neural information processing by a dynamical memristor circuit

description: Data supporting the findings of the paper titled <i>Autonomous neural information processing by a dynamical </i><i>memristor circuit</i>.
DOI: 10.6084/m9.figshare.24077667.v2
title: Autonomous neural information processing by a dynamical memristor circuit

description: Data supporting the findings of the paper titled <i>Autonomous neural information processing by a dynamical </i><i>memristor circuit</i>.
DOI: 10.6084/m9.figshare.24077667.v1
title: Autonomous neural information processing by a dynamical memristor circuit

description: Data supporting the findings of the paper titled <i>Autonomous neural information processing by a dynamical </i><i>memristor circuit</i>.
DOI: 10.5517/ccdc.csd.cc2cyg71
title: CCDC 2203053: Experimental Crystal Structure Determination

description: Related Article: Lana Chawishli, Aya Ibrahim, Svitlana Karamshuk, Hana Khan, Majid Motevalli, Saltanat Toiganbayeva, Isaac Abrahams, William P Gillin, Peter B Wyatt|2023|J.Fluorine Chem.|270|110165|doi:10.1016/j.jfluchem.2023.110165
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.cc2cyg82
title: CCDC 2203054: Experimental Crystal Structure Determination

description: Related Article: Lana Chawishli, Aya Ibrahim, Svitlana Karamshuk, Hana Khan, Majid Motevalli, Saltanat Toiganbayeva, Isaac Abrahams, William P Gillin, Peter B Wyatt|2023|J.Fluorine Chem.|270|110165|doi:10.1016/j.jfluchem.2023.110165
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.cc2cyg93
title: CCDC 2203055: Experimental Crystal Structure Determination

description: Related Article: Lana Chawishli, Aya Ibrahim, Svitlana Karamshuk, Hana Khan, Majid Motevalli, Saltanat Toiganbayeva, Isaac Abrahams, William P Gillin, Peter B Wyatt|2023|J.Fluorine Chem.|270|110165|doi:10.1016/j.jfluchem.2023.110165
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.cc2fwn11
title: CCDC 2260893: Experimental Crystal Structure Determination

description: Related Article: Miguel Á. Baeza Cinco, Guang Wu, Trevor W. Hayton|2023|Inorg.Chem.|62|14064|doi:10.1021/acs.inorgchem.3c02188
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.cc2fwn22
title: CCDC 2260894: Experimental Crystal Structure Determination

description: Related Article: Miguel Á. Baeza Cinco, Guang Wu, Trevor W. Hayton|2023|Inorg.Chem.|62|14064|doi:10.1021/acs.inorgchem.3c02188
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.cc2gpp95
title: CCDC 2284957: Experimental Crystal Structure Determination

description: Related Article: W. Nitek, E. Szymańska, W. Tejchman, E. Żesławska|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|334|doi:10.1107/S2053229623006502
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.cc2gppb6
title: CCDC 2284958: Experimental Crystal Structure Determination

description: Related Article: W. Nitek, E. Szymańska, W. Tejchman, E. Żesławska|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|334|doi:10.1107/S2053229623006502
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.cc2gppc7
title: CCDC 2284959: Experimental Crystal Structure Determination

description: Related Article: W. Nitek, E. Szymańska, W. Tejchman, E. Żesławska|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|334|doi:10.1107/S2053229623006502
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.cc2gppd8
title: CCDC 2284960: Experimental Crystal Structure Determination

description: Related Article: W. Nitek, E. Szymańska, W. Tejchman, E. Żesławska|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|334|doi:10.1107/S2053229623006502
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.cc2gppf9
title: CCDC 2284961: Experimental Crystal Structure Determination

description: Related Article: W. Nitek, E. Szymańska, W. Tejchman, E. Żesławska|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|334|doi:10.1107/S2053229623006502
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.cc2f752y
title: CCDC 2241209: Experimental Crystal Structure Determination

description: Related Article: D. Decato, M. Jahnke, O. Berryman|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|344|doi:10.1107/S2053229623006824
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.cc2f753z
title: CCDC 2241210: Experimental Crystal Structure Determination

description: Related Article: D. Decato, M. Jahnke, O. Berryman|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|344|doi:10.1107/S2053229623006824
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.cc2f7540
title: CCDC 2241211: Experimental Crystal Structure Determination

description: Related Article: D. Decato, M. Jahnke, O. Berryman|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|344|doi:10.1107/S2053229623006824
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: 10.34740/kaggle/dsv/6419076
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.24081438.v14
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.15454/ah6u4a/lphcim
title: IBET_cork-oak_spreadsheet.xlsx
DOI: 10.15454/ah6u4a/g3qnt3
title: IBET_cork-oak_spreadsheet.xls
DOI: 10.5281/zenodo.8087398
title: Minimum dataset for "Liquid-activated quantum emission from pristine hexagonal boron nitride for nanofluidic sensing"

description: Frames and (linked) localization table used to produce Fig. 2 of the manuscript https://www.nature.com/articles/s41563-023-01658-2. Details are given in 'README.txt'. The rest of the data is provided with the paper at the publisher website.
DOI: 10.5281/zenodo.8087399
title: Minimum dataset for "Liquid-activated quantum emission from pristine hexagonal boron nitride for nanofluidic sensing"

description: Frames and (linked) localization table used to produce Fig. 2 of the manuscript https://arxiv.org/abs/2204.06287. Details are given in 'metadata.txt'. The rest of the data will be provided with the paper at the publisher website.
DOI: 10.5281/zenodo.8142213
title: Minimum dataset for "Liquid-activated quantum emission from pristine hexagonal boron nitride for nanofluidic sensing"

description: Frames and (linked) localization table used to produce Fig. 2 of the manuscript https://www.nature.com/articles/s41563-023-01658-2. Details are given in 'README.txt'. The rest of the data is provided with the paper at the publisher website.
DOI: 10.5281/zenodo.8318817
title: Confocal microscopy imaging of FocalCheck fluorescent beads at various oil indices under ambient temperature

description: the dataset consisting of 20 fields of images with physical dimensions of 1340x1340x64 pixels. These images were acquired using two different refractive indices: one with oil immersion corrected for a temperature of 23°C and another with oil immersion corrected for a temperature of 37°C. A constant temperature of 24.5°C was maintained throughout the data collection
DOI: 10.5281/zenodo.8318816
title: Confocal microscopy imaging of FocalCheck fluorescent beads at various oil indices under ambient temperature

description: the dataset consisting of 20 fields of images with physical dimensions of 1340x1340x64 pixels. These images were acquired using two different refractive indices: one with oil immersion corrected for a temperature of 23°C and another with oil immersion corrected for a temperature of 37°C. A constant temperature of 24.5°C was maintained throughout the data collection
DOI: 10.5517/cc132xlp
title: CCDC 1015702: Experimental Crystal Structure Determination

description: Related Article: J. Gabriel Garcia, Frank R. Fronczek|2014|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.8154564
title: Graphs for the Weighted Minimum Dominating Set Problem

description: Graphs used for the IG algorithm for finding the minimum dominating set in weighted graphs.
DOI: 10.5281/zenodo.8318881
title: Graphs for the Weighted Minimum Dominating Set Problem

description: Graphs used for the IG algorithm for finding the minimum dominating set in weighted graphs.