Demographic distributions of the patients and significant differences between the training and test datasets. by Kenta Ninomiya (9969368)

“…<p>Demographic distributions of the patients and significant differences between the training and test datasets.…”

The mean values of the accessibility of different types of communities. by Juan Wang (115708)

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Coverage decrease for spreading processes with the habituation effect. by Piotr Bartków (15348211)

Estimation results of spatial Durbin panel data model. by Yuanzhi Guo (16624797)

Spatial Dubin panel model estimation results. by Xiaoyu Wan (644814)

“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

Estimation results of spatial Durbin panel data model by regions. by Yuanzhi Guo (16624797)

S1 Dataset - by Xiaoyu Wan (644814)

“…It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.…”

Most significant group differences in local VAR in the modes for HCPEP and Cobre datasets. by Fran Hancock (14833557)

S1 Dataset - by Sajjakaj Jomnonkwao (11767595)

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Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

Changes in the proportion of countries/regions in different types of RDI after WWII. by Xiaobiao Lin (13046938)

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Cultural heritage dataset. by Jie Li (15030)

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Temporal trend (1972–2017) of ∑PCB (upper graph) and PCB TEQ (lower graph) in osprey eggs in the whole dataset and in different study areas. by Matti Viluksela (321291)

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Expression of significant DEMs in the TCGA datasets. by Chengjiao Yao (11751846)

“…<p>Expression of significant DEMs between EAC and normal tissue in the TCGA dataset. …”

Data list with sources. by Juan Wang (115708)

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Community types and designations in Shanghai. by Juan Wang (115708)

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Division and grading standard of community socioeconomic attributes in Shanghai. by Juan Wang (115708)

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Pearson correlation coefficient between the shortest walking distance to facilities and community attributes. by Juan Wang (115708)

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The matching value of population density and community accessibility to facilities in planned new towns. by Juan Wang (115708)

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CCD evaluation results of different eco–geological divisions in Northeast China. by Guofang Tao (12368729)

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