cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29kl3l
title: CCDC 2132059: Experimental Crystal Structure Determination

description: Related Article: Yuyue Qin, Linhu Zou, Xiaoguang Lei, Jiewei Su, Rixiu Yang, Wanjuan Xie, Wanshan Li, Guangying Chen|2022|Bioorg.Chem.|130|106271|doi:10.1016/j.bioorg.2022.106271
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.cc2c4950
title: CCDC 2178871: Experimental Crystal Structure Determination

description: Related Article: Abdollah Neshat, Mahdi Cheraghi, Monika Kucerakova, Michal Dusek, Ali Mousavizadeh Mobarakeh|2022|J.Mol.Struct.|1274|134545|doi:10.1016/j.molstruc.2022.134545
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.7351723
title: A Versatile and Secure Data Management System API facilitating the Interconnection of any software component and Easy Data Access.

description: In the context of the EU-funded project PILOTING (No. 871542), a versatile Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. The DMS is designed under the DMS-Data Model (DMS-DM) and operates on top of a representational state transfer (REST) application programming interface (API) that provides a simplified way to exchange data through HTTP(S) requests from a client to the server. One of its key advantages is that it provides a great deal of flexibility so the model could accommodate extensions if needed. Data is not tied to resources or methods, so REST can handle multiple types of calls, return different data formats and even change structurally with the correct implementation of hypermedia. <br> It supports CRUD operations via GET, POST, PUT, PATCH, and DELETE HTTP methods and stores the data on a PostgreSQL object-relational database system. The REST API has been created with Python's Django (web framework) and Django REST Framework, a powerful and flexible toolkit for building Web APIs. <br> The constructed document presents the communication endpoints (DMS API’s Uniform Resource Identifiers (URIs)) under which an authorized user can have access to the DMS API and subsequently to the collected data.
DOI: 10.5281/zenodo.7351722
title: A Versatile and Secure Data Management System API facilitating the Interconnection of any software component and Easy Data Access.

description: In the context of the EU-funded project PILOTING (No. 871542), a versatile Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. The DMS is designed under the DMS-Data Model (DMS-DM) and operates on top of a representational state transfer (REST) application programming interface (API) that provides a simplified way to exchange data through HTTP(S) requests from a client to the server. One of its key advantages is that it provides a great deal of flexibility so the model could accommodate extensions if needed. Data is not tied to resources or methods, so REST can handle multiple types of calls, return different data formats and even change structurally with the correct implementation of hypermedia. <br> It supports CRUD operations via GET, POST, PUT, PATCH, and DELETE HTTP methods and stores the data on a PostgreSQL object-relational database system. The REST API has been created with Python's Django (web framework) and Django REST Framework, a powerful and flexible toolkit for building Web APIs. <br> The constructed document presents the communication endpoints (DMS API’s Uniform Resource Identifiers (URIs)) under which an authorized user can have access to the DMS API and subsequently to the collected data.
DOI: 10.5525/gla.researchdata.1375
title: Mid-infrared timing jitter of superconducting nanowire single-photon detectors

description: Data for figures in Applied Physics Letter and Supplementary material.
DOI: 10.6084/m9.figshare.19091693
title: Data File for "Collective Bargaining and School District Test Scores: Evidence from Ohio Bargaining Agreements"

description: Data File for "Collective bargaining and school district test scores: evidence from Ohio bargaining agreements" - See paper for more information. Full citation:<br>Joshua Hall, Donald Lacombe, and Joylynn Pruitt, “Collective Bargaining and School District Test Scores: Evidence from Ohio Bargaining Agreements,” Applied Economics Letters 24(1) 2017: 35-38.<br><br>https://doi.org/10.1080/13504851.2016.1158912<br>
DOI: 10.6084/m9.figshare.19091693.v2
title: Data File for "Collective Bargaining and School District Test Scores: Evidence from Ohio Bargaining Agreements"

description: Data File for "Collective bargaining and school district test scores: evidence from Ohio bargaining agreements" - See paper for more information. Full citation:<br>Joshua Hall, Donald Lacombe, and Joylynn Pruitt, “Collective Bargaining and School District Test Scores: Evidence from Ohio Bargaining Agreements,” Applied Economics Letters 24(1) 2017: 35-38.<br><br>https://doi.org/10.1080/13504851.2016.1158912<br>
DOI: 10.6084/m9.figshare.19091693.v1
title: Data File for "Collective bargaining and school district test scores: evidence from Ohio bargaining agreements"

description: Data File for "Collective bargaining and school district test scores: evidence from Ohio bargaining agreements" - See paper for more information. Full citation:<br>Joshua Hall, Donald Lacombe, and Joylynn Pruitt, “Collective Bargaining and School District Test Scores: Evidence from Ohio Bargaining Agreements,” Applied Economics Letters 24(1) 2017: 35-38.<br><br>https://doi.org/10.1080/13504851.2016.1158912<br>
DOI: 10.6084/m9.figshare.16611571
title: Data file for: "Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia"

description: Data file for "Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia"
DOI: 10.6084/m9.figshare.16611571.v2
title: Data file for: "Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia"

description: Data file for "Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia"
DOI: 10.6084/m9.figshare.16611571.v1
title: Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia

description: Data file for "Institutional Implant and Economic Stagnation: A Counterfactual Study of Somalia"
DOI: 10.25835/39jgn8ac
title: LES of a 15 GW wind farm

description: PALM input files, PALM user code for energy budget analysis, PyWake scripts, plot scripts
DOI: 10.5281/zenodo.7060072
title: Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology — data release

description: This release contains all data used to prepare the publication Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology. Included are: The raw log output from the simulations and computed persistence images for the analysis in Section IV.B of the paper in 'raw_data.zip'. The values of the action and Polyakov loop from the above logs, along with the persistence images restructured into netCDF4 format for convenience, in the files 'Nt=*_Ns=*_pis_actions_polyakovs.nc'. The values of the observable m_2 (as defined in the paper) for configurations for the twisted boundary conditions analysis in netCDF4 format in 'Nt=4_Ns=12_16_20_m2.nc'. The example persistence diagrams used in the paper in netCDF4 format in 'Nt=4_Ns=12_example_pds.nc'.
description: NS has been supported by a Swansea University Research Excellence Scholarship (SURES). JG was supported by EPSRC grant EP/R018472/1. BL received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 813942. The work of BL was further supported in part by the UKRI Science and Technology Facilities Council (STFC) Consolidated Grant ST/T000813/1, by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Foundation Research Fellowship RF-020-461\9. Numerical simulations have been performed on the Swansea SUNBIRD system. This system is part of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.
DOI: 10.5281/zenodo.7060073
title: Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology — data release

description: This release contains all data used to prepare the publication Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology. Included are: The raw log output from the simulations and computed persistence images for the analysis in Section IV.B of the paper in 'raw_data.zip'. The values of the action and Polyakov loop from the above logs, along with the persistence images restructured into netCDF4 format for convenience, in the files 'Nt=*_Ns=*_pis_actions_polyakovs.nc'. The values of the observable m_2 (as defined in the paper) for configurations for the twisted boundary conditions analysis in netCDF4 format in 'Nt=4_Ns=12_16_20_m2.nc'. The example persistence diagrams used in the paper in netCDF4 format in 'Nt=4_Ns=12_example_pds.nc'.
description: NS has been supported by a Swansea University Research Excellence Scholarship (SURES). JG was supported by EPSRC grant EP/R018472/1. BL received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 813942. The work of BL was further supported in part by the UKRI Science and Technology Facilities Council (STFC) Consolidated Grant ST/T000813/1, by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Foundation Research Fellowship RF-020-461\9. Numerical simulations have been performed on the Swansea SUNBIRD system. This system is part of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government.
DOI: 10.5281/zenodo.7348818
title: UK Hansard 1935-2014

description: <strong>UK Hansard 1935-2014</strong> The "uk_hansard_1935_2014_BvW_2022.tsv" is a metadata enriched version of the Hansard corpus. It is one of the outputs from Betto van Waarden's Marie Skłodowska-Curie project "Presenting Parliament: Parliamentarians’ visions of the communication and role of parliament within the mediated democracies of Britain, Belgium and the Netherlands, 1844-1995 ". This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 897761. The project has been executed in collaboration with Mathias Johansson from the DigitalHistory@Lund platform, Lund University <em>Base corpora</em> The attached file is an agglomeration of two preexisting versions of the UK Hansard corpus: Political Mashup, provided to us by Kaspar Beelen and a .tsv file we received from Ludovic Rheault which itself is based on the Political Mashup corpus. This corpus is based on the Rheault version and is reproduced with his written permission. The original corpus contained the following columns: cabinet function parliament party party_in_power speaker_id speech_id speech_text topic year To which we have added the following columns: date times_in_house seniority district district_class Changed the 'year' column to 'date' as it contained the ISO8061-formatted date, leaving only the year in the 'year' column <em>Career</em> In the Political Mashup data there is information about which offices each speaker has held and using this data we have calculated how many terms a speaker has held office at the time of a speech <em>times_in_house</em>. From this we derived a column we call <em>seniority</em>: speakers that have been in office at most one time before the current parliament/round is classified as a junior - everyone else as a senior. <em>Districts</em> By cross referencing the speaker_ids against the Political Mashup we have extracted which district each speaker was representing. We have then mapped these districts against a classification of UK districts (Baker, 2018, accessed on 2021-07-12) that uses six classes which we reduced to three classes for simplicity's sake: Original Reduced Core City Other City city Large Town Medium Town town Small Town Village or Smaller village Mapping districts to one of the three classes was mostly done automatically by matching district names against the list, and districts that have split or merged over time were processed manually. Still, not all districts were resolved satisfactorily leaving 43,541 speeches without a district classification resulting in a coverage of 98.7%. class count town 1,253,330 city 1,184,605 village 908,606 N/A 43,541
description: {"references": ["Baker, Carl (2018). City & Town Classification of Constituencies & Local Authorities. https://commonslibrary.parliament.uk/research-briefings/cbp-8322/"]}
DOI: 10.5281/zenodo.6126273
title: LoGov Germany Workshop Report n°2

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6126274
title: LoGov Germany Workshop Report n°2

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6091641
title: LoGov Germany Workshop Report n°1

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6091642
title: LoGov Germany Workshop Report n°1

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6499335
title: LoGov Poland Interview Report n°10

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Poland. To access the full transcription of this interview, the other interview reports on Poland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6499336
title: LoGov Poland Interview Report n°10

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Poland. To access the full transcription of this interview, the other interview reports on Poland, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6126408
title: LoGov Germany Workshop Report n°3

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.6126407
title: LoGov Germany Workshop Report n°3

description: The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.34740/kaggle/dsv/4572009
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7351760
title: A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.

description: In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted.
DOI: 10.5281/zenodo.7351759
title: A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.

description: In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted.