An infographic outlining the data used for each analysis. by Shelby L. Sturrock (10751675)

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Effect of each software transition and any hardware transition on daily active calories (negative binomial models with a random intercept per participant) among participants with a... by Shelby L. Sturrock (10751675)

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Effect of each software transition and any hardware transition on daily minutes of exercise (negative binomial models with a random intercept per participant) among participants wi... by Shelby L. Sturrock (10751675)

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Participant characteristics, overall and for each transition, of primary analytic sample (activity data for all 14 days of the respective transition period). by Shelby L. Sturrock (10751675)

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(a) Changes of exchangeable Ca²⁺ content during acification of black soil. (b) Changes of exchangeable Mg²⁺ content during acification of black soil. The cont... by Xiaoxu Zhu (11764430)

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Differences in health-related quality of life indexes after disease onset between groups. by Ji Woong Chang (1829314)

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Demographic characteristics of the participants. by Ji Woong Chang (1829314)

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Data file. by Ji Woong Chang (1829314)

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Changes associated with kidney fibrosis in TGF- by Wencheng Jin (13136262)

<i>Porphyromonas gingivalis</i> LPS pretreated by ozone ultrafine bubble water induces decreased TLR2 activation. by Mana Endo (22430706)

Changes in connectivity of the mPFC among responders and non-responders. by Karel Joineau (21799908)

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Graphs showing the mean temperature increase at the positions with the highest mean temperature increase for the MIPS (A) and MONO (B) systems and three drilling protocols (DP1, DP... by Marsel Ganeyev (21453399)

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(a) Changes of Fe-Al bond-bound soil organic carbon (Fe/Al-SOC) content during acification of black soil. (b) Changes of Calcium bond-bound soil organic carbon (Ca-SOC) content dur... by Xiaoxu Zhu (11764430)

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Reducing Dscam1 diversity decreases adult lifespan in a cluster-specific manner, also see S6 and S7 Figs. by Haiyang Dong (4783608)

Data_GDP/ Ndvi. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Flow chart of the study. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Example of manual identification. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data_soil. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data_road. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Excel_ESs and transfer matrix. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”