Introduction: This data set consists of the NPP/VIIRS noctilucent consistency data of 500m per year throughout Pakistan from 2012 to 2019. The original data is collected monthly from the data released by the National Oceanic and Atmospheric Administration (NOAA/NGDC), which is obtained after noise and error removal by the noctilucent data consistency processing algorithm. The data format is TIF and the spatial resolution is 500 meters.

Source: Disaster Risk Reduction Knowledge Service

Release date: Jun. 2020

Provided by: Yuan Yuelei

Introduction: Based on satellite data and DEM data, the probability density function fitting method is used to segment the water body and the non-water body, and the Sentinel-2 data in the same period are used for classification and refinement, and the spatial distribution characteristics of flood are obtained. This data set shows the annual flood distribution from June to September from 2017 to 2020 in the adjacent regions of China and Russia. It helps users to understand the temporal and spatial distribution of flood events in this area, and provides reference and basis for users and further research.

Source: Disaster Risk Reduction Knowledge Service

Release date: Jun. 2021

Provided by: Yuan Yuelei

Introduction: This lecture focuses on hydrometeorologiccal hazards. It outlines the definition of heat wave and its impact on human health, illustrates with a case study in the Far East of Russian. An account of extreme heat weather and synoptics. And lastly, it describes how to mitigate risks.

Source: Disaster Risk Reduction Knowledge Service

Release date: Nov. 2020

Provided by: Yuan Yuelei

Introduction: This lecture focuses on mountain hazards disaster risk reduction, types of natural hazards and their distribution along China-Pakistan Economy Corridor, trend of hazards activities, disaster risk and reduction.

Source: Disaster Risk Reduction Knowledge Service

Release date: Nov. 2020

Provided by: Yuan Yuelei

Introduction: The CityIQ column aims at developing a data model to provide evaluation services for global cities, undertaking sustainable development research tasks, relating to themes of urban planing, transportation, environment, safety and encouraging cities to provide data and best practices to support database construction and to improve the worldwide competences of city database and city evaluation system.

Source: Intelligent City Knowledge Service

Release date: Aug. 2021

Provided by: CAO Buyang

Introduction: Modern urban planning originated from public health, and modern public health has always paid attention to urban planning as well. Planning should focus not only on people's health, but also on the health of cities. Cities are always in the process of continuous external impact, and impact is an important driving force for urban growth. Through continuous reflection and response, City Being can be iterated and developed into advanced life.

Source: Intelligent City Knowledge Service

Release date: Aug. 2021

Provided by: LI Xiang

Introduction: How to embark on a sustainable development path different from traditional urbanization in the next 30 years is a difficult problem facing the people of the world.After sorting out the urbanization development track of 252 countries and regions in 10 years, Prof.Wu Zhiqaing selected G20 countries to be divided into 5 groups for comparative analysis, and together explored the urbanization development level of countries after the urbanization rate reached 50% and the labor productivity relationship of a country (region) in the urbanization development process.Wu said urbanization is bound to be completed, but urbanization is divided into two roads, and at present, urbanization is coming.

Source: Intelligent City Knowledge Service

Release date: Jul. 2021

Provided by: LI Xiang

Introduction: A knowledge application for comprehensive display and inquiry of Pakistan University is built to comprehensively display four internationally recognized world university rankings, such as QS, THE, US News and ARWU rankings.

Source: Silk Road Sciences and Technology Knowledge Service

Release date: Aug. 2021

Provided by: Zhang Qianglong

Introduction: In our attempt to understand neural systems, it is useful to identify statistical principles that may be beneficial in neural information processing, outline how these principles may work in theory, and demonstrate the benefits through computational modelling and simulation. Negative correlation is one such principle, and is the subject of this work. The main body of the work falls into three parts. The first part demonstrates the space filling and accelerated central limit convergence benefits of negative correlation, both generally and in the specific neural context of V1 receptive fields. I outline two new algorithms combining traditional ICA with a correlation objective function.

Source: Silk Road Sciences and Technology Knowledge Service

Release date: Aug. 2021

Provided by: Liu Jun

Introduction: IKCEST has been focusing on developing general resources and product-oriented specialised resources, and pooled data resources including over 50 million patents, 10 million journal articles and 800 thousand experts among others. The IKCEST platform now integrates its resources and launches a data resource catalogue. By forming lists of various types of resources such as journal, patent, institution, report and project, the catalogue brings together and presents IKCEST's quality data resources and offers our users with a more convenient experience.

Source: IKCEST General Platform

Release date: Aug. 2021

Provided by: Cai Lingli, Zhang Xinxing, Guo Yifei

Introduction: The Public Health Security knowledge service, with its focus on COVID-19, brings together over 220,000 pieces of literature and over 15,000 news articles, covering resources such as policies and regulations, research datasets, vaccine updates and popular science videos among others to support countries, especially developing countries, in their post-COVID-19 recovery and capacity in sustainable development. The knowledge service pools and visualizes 20,000 pieces of relevant statistical data of countries and regions to illustrate the impact of COVID-19 on the global sustainable development, specifically on SDG 3 Good Health and Well-being, SDG 4 Quality Education, and SDG 8 Decent Work and Economic Growth. Evidence-based medicine (EBM) video courses, global trend analysis, and public opinion analysis from IKCEST's sub-platforms are also presented in the knowledge service.

Source: IKCEST General Platform

Release date: Aug. 2021

Provided by: Cai Lingli, Zhang Xinxing, Guo Yifei

Introduction: The Big Data Term Encyclopedia knowledge service provides functions including search, multilingual pronunciation, literature association and knowledge graph of big data terminologies in 11 languages, namely Chinese, Arabic, English, French, German, Italian, Japanese, Korean, Portuguese, Russian and Spanish. By supporting users in editing and formatting to get started, combined with practical tools such as downloading and exporting, obtaining printable version and generating short link, this knowledge service aims to provide our users with the convenient, accurate and timely multilingual knowledge service on big data terminology.

Source: IKCEST General Platform

Release date: Aug. 2021

Provided by: Cai Lingli, Zhang Xinxing, Guo Yifei

Introduction: IKCEST has launched a video centre to further integrate its resources by gathering and categorising all the videos on the platform, including Academic Videos, They Say, Open Science, and videos in Global Engineering Projects, World Heritage Protection, AI Ethics and the Belt and Road Index knowledge services. The video centre offers ours users a faster and more convenient access to quality engineering science and technology videos. Relevant video resources would also be recommended based on users' viewing history.

Source: IKCEST General Platform

Release date: Aug. 2021

Provided by: Cai Lingli, Zhang Xinxing, Guo Yifei