cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.20472261
title: The Five Eyes (FVEY)

description: Description The geometry of 5 member states of The Five Eyes (FVEY), an intelligence alliance comprising Australia, Canada, New Zealand, the United Kingdom, and the United States. An interactive view of this dataset: Link Source Data were collected from the Wikipedia page of FVEY. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20472132
title: Shanghai Cooperation Organisation (SCO)

description: Description The geometry of 18 countries that have joined the Shanghai Cooperation Organisation (SCO) as members, observers, or dialogue partners up until August 2022 According to the official website of SCO, it is found in 2001 and focuses on regional security issues, combating regional terrorism, ethnic separatism, and religious extremism. SCO also promotes regional development and has been an observer in the UN General Assembly since 2005. An interactive view of this dataset: Link Source Data were collected from the official website of SCO. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20471898
title: The Lancang-Mekong Cooperation (LMC)

description: Description The geometry of 6 countries that have joined the Lancang-Mekong Cooperation (LMC) up until August 2022 Found in 2016, LMC is a multilateral format between China and Five Southeast Asia countries. According to the official website of LMC, it focuses on three pillars of political and security issues, economic and sustainable development, and social, cultural, and people-to-people exchanges. An interactive view of this dataset: Link Source Data were collected from the official website of LMC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20471898.v1
title: The Lancang-Mekong Cooperation (LMC)

description: Description The geometry of 6 countries that have joined the Lancang-Mekong Cooperation (LMC) up until August 2022 Found in 2016, LMC is a multilateral format between China and Five Southeast Asia countries. According to the official website of LMC, it focuses on three pillars of political and security issues, economic and sustainable development, and social, cultural, and people-to-people exchanges. An interactive view of this dataset: Link Source Data were collected from the official website of LMC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20471664
title: The China-Arab States Cooperation Forum (CASCF)

description: Description The geometry of 22 countries/territories that have joined the China-Arab States Cooperation Forum (CASCF) up until August 2022. Found in 2004, CASCF promotes cooperation in various fields, such as politics, trade, culture, technology, and foreign affairs between China and Arab countries. An interactive view of this dataset: Link Source Data were collected from the BRICS policy center. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20471664.v1
title: The China-Arab States Cooperation Forum (CASCF)

description: Description The geometry of 22 countries/territories that have joined the China-Arab States Cooperation Forum (CASCF) up until August 2022. Found in 2004, CASCF promotes cooperation in various fields, such as politics, trade, culture, technology, and foreign affairs between China and Arab countries. An interactive view of this dataset: Link Source Data were collected from the BRICS policy center. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20463747
title: The Forum on China-Africa Cooperation (FOCAC)

description: Description Geospatial data of 53 African countries that have joined the Forum on China-Africa Cooperation (FOCAC) up until August 2022. Found in 2000, FOCAC aims to promote diplomacy, trade, security, and investment relations between China and African countries. An interactive view of this dataset: Link Source Data were collected from the official website of FOCAC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20463747.v1
title: The Forum on China-Africa Cooperation (FOCAC)

description: Description Geospatial data of 53 African countries that have joined the Forum on China-Africa Cooperation (FOCAC) up until August 2022. Found in 2000, FOCAC aims to promote diplomacy, trade, security, and investment relations between China and African countries. An interactive view of this dataset: Link Source Data were collected from the official website of FOCAC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20463318
title: China-CEEC (16+1 Initiative)

description: Description The geometry of countries that have joined the Cooperation between China Central and Eastern European Countries (16+1 Initiative) up until August 2022. Found in 2012, the 16+1 initiative between China and 16 Central and Eastern European Countries aims to enhance cooperation in the fields of infrastructure, transportation, logistics, trade, and investment. An interactive view of this dataset: Link Source Data were collected from the official website of China-CEEC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20463318.v1
title: China-CEEC (16+1 Initiative)

description: Description The geometry of countries that have joined the Cooperation between China Central and Eastern European Countries (16+1 Initiative) up until August 2022. Found in 2012, the 16+1 initiative between China and 16 Central and Eastern European Countries aims to enhance cooperation in the fields of infrastructure, transportation, logistics, trade, and investment. An interactive view of this dataset: Link Source Data were collected from the official website of China-CEEC. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20462994
title: Countries that have signed MoUs in the Belt and Road Initiative (BRI)

description: Description This dataset contains both tabular data and the geometry of 149 countries that have signed the Memorandum of Understandings (MoU) with China to cooperate in the BRI framework up until March 2022. An interactive view of this dataset: Link Source Data were collected from Belt and Road Portal, developed by China Economic Information Service, State Information Center. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20461977
title: Religious indices: government restrictions and social hostilities

description: Description This dataset contains both tabular data and the geometry of 198 countries’ Government Restrictions Index (GRI) and Social Hostilities Index (SHI) from 2007 to 2017. GRI and SHI were developed by Pew Research Center to rate 198 countries' and self-governing territories' levels of restrictions on religions. Source GRI and SHI were collected from Pew Research Center’s reports and digitized. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 4.1.0 (Published on 21 May 2018). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20461977.v1
title: Religious indices: government restrictions and social hostilities

description: Description This dataset contains both tabular data and the geometry of 198 countries’ Government Restrictions Index (GRI) and Social Hostilities Index (SHI) from 2007 to 2017. GRI and SHI were developed by Pew Research Center to rate 198 countries' and self-governing territories' levels of restrictions on religions. Source GRI and SHI were collected from Pew Research Center’s reports and digitized. The geospatial features, including polygons and boundaries of regions, are sourced from Natural Earth, Admin 0 – Countries version 4.1.0 (Published on 21 May 2018). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20461044
title: Railway networks: connecting China with South(east) Asia

description: Description The geometry of new railways in China, South Asia, and Southeast Asia up until March 2020. Spatially contextualizing the new railways, existing railway networks in China and South(east) Asia are separately annotated in the Shapefile for manipulation. An interactive view of this dataset: Link Source Locations of new railways were digitized based on online sources. Please refer to the reference.zip.The geometry of existing railways was collected from Natural Earth 10m-cultural-vectors version 4.0.0 (published by Natural Earth on 15th November 2017). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20455614
title: The Island Chain Strategy

description: Description The conceptualized lines (The first, second, and third island chains) and strategic locations of the Island Chain Strategy, a containment plan conceived by American foreign policy statesman John Foster Dulles. An interactive view of this dataset: Link Source All data were digitized from the Office of the Secretary of Defense’s 2006 annual report to congress: Military Power of the People’s Republic of China. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20455566
title: The BRI transnational energy map: oil and gas pipelines

description: Description Locations and attributes, including names and status of oil and gas pipelines that have been proposed in the framework of the Belt and Road up until March 2020 for the transportation of natural gas and crude oil. Spatially contextualizing the new pipelines, existing and proposed pipelines (oil and gas), and refineries in Afro-Eurasia up until November 2017 are attached as supplementary data for visualizations. An interactive view of this dataset: Link Source Data of pipelines proposed in the framework of the BRI were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. Existing and proposed pipelines were collected from FracTracker Alliance. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20439039
title: The BRI's overseas economic and trade cooperation zones

description: Description Overseas economic and trade cooperation zones developed by Chinese enterprises and endorsed by the Ministry of Commerce of the People’s Republic of China under the Belt and Road Initiative. An interactive view of this dataset: Link Source All data were collected from HKTDC. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20438967
title: China’s investment in overseas ports

description: Description This dataset contains both tabular and geospatial data of China’s invested overseas ports in terms of locations, investment, status, etc. up to March 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20438805
title: Overseas Military Bases

description: Description This dataset contains both tabular and geospatial data of eight great powers' overseas military bases, including China, the United States, the United Kingdoms, Russia, Japan, India, the United Arab Emirates, and France up until November 2020. An interactive view of this dataset: Link Source All data were collected from multiple public sources and specified in each data point in the Excel file and Shapefile. For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.25442/hku.20472708
title: The BRI’s economic corridors

description: <strong>Description</strong> The geometry and attributes, including descriptions and the status of 8 economic corridors in the Belt and Road Initiative (BRI) up until August 2021. Depiction of the economic corridors is based on the transportation networks, including expressways and railways with their status (e.g., existing or new projects backed by Chinese enterprises) annotated in the Shapefile.The list of economic corridors is listed below. Corridors 1-6 have been officially recognized by the Chinese government. Moreover, this dataset visualizes the economic corridors connecting China, Vietnam, and Africa, subsumed under corridors 7-8. China-Pakistan-Economic Corridor (CPEC) China-Mongolia-Russia Economic Corridor (CMREC) New Eurasian Land Bridge (NELBEC) China-Central Asia-West Asia Economic Corridor (CCW) Bangladesh-China-India-Myanmar Economic Corridor (BCIM) China-Indochina Peninsula Economic Corridor (CICPEC) China Vietnam Economic Corridor (CVEC) The China-Africa Economic Corridor (CAEC) For a combined visualization of the economic corridors, see: 9. Combined<sub>.</sub> An interactive view of this dataset: Link Source Data were collected from multiple public sources. Locations of new expressways and railways were digitized based on images in reference.zip. The existing transportation networks, including expressways and railways, are sourced from Natural Earth, Road version 5.0.0 (Published on 7 December 2021) and Natural Earth, Railroad version 4.0.0 (Published on 15 October 2017). The polygons and boundaries of regions are sourced from Natural Earth, Admin 0 – Countries version 5.1.1 (Published on 12 May 2022). For metadata, such as data description and available methods for geospatial data processing, please read the readme.pdf. Terms of use This dataset features in a collection of geospatial data "Geo-mapping databases for the Belt and Road Initiative". To cite this work, available citation styles can be found here: https://doi.org/10.6084/m9.figshare.c.6076193
DOI: 10.5281/zenodo.6991868
title: Original data for publications: Study of the Temperature- and Pressure-Dependent Structural Properties of Alkali Hydrido-closo-borate Compounds, and: Pressure-induced phase transitions in Na2B12H12, structural investigation on a candidate for solidstate electrolyte

description: Original data for publications (part of University of Geneva only): Study of the Temperature- and Pressure-Dependent Structural<br> Properties of Alkali Hydrido-closo-borate Compounds<br> Inorg. Chemistry 2022 61, 5224-5233, <br> https://doi.org/10.1021/acs.inorgchem.1c03681 Pressure-induced phase transitions in Na2B12H12,<br> structural investigation on a candidate for solidstate electrolyte<br> Acta Cryst. B 2019 B75 406-413<br> https://doi.org/10.1107/S2052520619004670
DOI: 10.5281/zenodo.6991867
title: Original data for publications: Study of the Temperature- and Pressure-Dependent Structural Properties of Alkali Hydrido-closo-borate Compounds, and: Pressure-induced phase transitions in Na2B12H12, structural investigation on a candidate for solidstate electrolyte

description: Original data for publications (part of University of Geneva only): Study of the Temperature- and Pressure-Dependent Structural<br> Properties of Alkali Hydrido-closo-borate Compounds<br> Inorg. Chemistry 2022 61, 5224-5233, <br> https://doi.org/10.1021/acs.inorgchem.1c03681 Pressure-induced phase transitions in Na2B12H12,<br> structural investigation on a candidate for solidstate electrolyte<br> Acta Cryst. B 2019 B75 406-413<br> https://doi.org/10.1107/S2052520619004670
DOI: 10.48366/r211015
title: Personal Knowledge Graphs to deal with User-Centric Data

description: Personal knowledge graph (PKG) has been defined as a source of structured knowledge about entities and the relation between the entities to focus on personal information rather than general. In Personal Knowledge Graphs entity linking, NIL-detection and knowledge graph population are interlinked that help to infer the attributes of extracted entities. A comparison of Personal Knowledge Graphs to explore the individual's personal data and helping to organize user-centric entities.