Classifications of coupling coordination levels. by Ying Xie (50016)

Subjects:

Speed and time cost for different road types. by Jilei Tao (20208621)

Subjects:

Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

Significant sex difference in HIV and AIDS health pathway. by Alessandro Feraldi (21228365)

Subjects:

ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”

Expression of significant DEGs in the TCGA dataset. by Chengjiao Yao (11751846)

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. …”

Interaction network, with color indicating degree of significant difference. by MaoMeng Wang (22177417)

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Spatial heterogeneity in the impact of digital financial inclusion on the carbon reduction gap in agricultural regions. by Lingzhi Tan (19146572)

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

Data set for the analysis. by Tibor M. Szikszay (14439419)

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Participant characteristics for each group. by Tibor M. Szikszay (14439419)

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Both MRI and SR-PCI demonstrated significant decreases in clinically-relevant articular cartilage parameters. by Suranjan Bairagi (17087667)

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.…”

S1 Dataset - by Junxia Zhou (14381598)

“…Micro-cracks appeared in the cemented body by Day 7, resulting in a slight decrease in strength (3.92%) from Day 3 to Day 7. The formation of well-developed needle-like AFt, C-(A)S-H gel, and small-volume plate-like CH contributed to uniform cementation and a denser structure. …”

Quantitative proteomic dataset comparing wild-type and <i>smpB</i> mutant <i>Acinetobacter baumannii.</i> by Techit Thavorasak (13138440)

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Trends of seasonal rainfall in the study area. by Menbere Sahilu (18195856)

Subjects:

Trends of annual rainfall in the study area. by Menbere Sahilu (18195856)

Subjects:

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

Subjects:

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.…”