An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

This raw data was collected to measure students' motivation after they experience the mobile apps with multiple or single gamification elements. It includes the pretest, posttest and delayed posttest for university students' overall motivation and its dimensions (intrinsic and extrinsic) in English vocabulary learning.

This raw data was collected to measure students' motivation after they experience the mobile apps with multiple or single gamification elements. It includes the pretest, posttest and delayed posttest for university students' overall motivation and its dimensions (intrinsic and extrinsic) in English vocabulary learning.

In this study, we proposed a quantitative framework to assess the land surface vulnerability baseline using time series datasets. Based on annual information of the “water-soil-climate-plant” system, which was characterized by the dynamic of surface water, soil erosion, drought, and vegetation in 1990–2022, we analyzed the spatial heterogeneity of land surface vulnerability baseline and explored its response to shifts in potential factors in the Hohhot-Baotou-Ordos-Yulin urban agglomeration. By incorporating time-series geospatial datasets and dynamic modeling approaches, we provide valuable insights for accurately assessing land surface vulnerability baseline, offering scientific supports for evaluating the resilience of land surface system in arid and semi-arid regions.

In this study, ternary NiTiFe shape memory alloys with different volume energy density were fabricated by laser powder bed fusion technique via mixed pre-alloy NiTi powder and 3 wt. % pure Fe powder. The exceptionally low porosity of 0.03591% was attained at a volume energy density of 229.17 J/mm³. The relationship between the processing parameter and forming quality associated with the Marangoni effect was analyzed. Grain morphology evolution was impacted by solute redistribution during solidification and heterogeneous nucleation of Fe atoms. Additionally, this work had devised a novel approach to synergistically induce strain glass in NiTiFe alloy through the integration of dislocations and precipitates resulting in stable quasi-linear superelasticity with narrow hysteresis. Our work demonstrates the feasibility of synthesizing ternary NiTi-based shape memory alloys via additive manufacturing and offers a new-fangled insight for developing novel strained glass alloys.

In this study, ternary NiTiFe shape memory alloys with different volume energy density were fabricated by laser powder bed fusion technique via mixed pre-alloy NiTi powder and 3 wt. % pure Fe powder. The exceptionally low porosity of 0.03591% was attained at a volume energy density of 229.17 J/mm³. The relationship between the processing parameter and forming quality associated with the Marangoni effect was analyzed. Grain morphology evolution was impacted by solute redistribution during solidification and heterogeneous nucleation of Fe atoms. Additionally, this work had devised a novel approach to synergistically induce strain glass in NiTiFe alloy through the integration of dislocations and precipitates resulting in stable quasi-linear superelasticity with narrow hysteresis. Our work demonstrates the feasibility of synthesizing ternary NiTi-based shape memory alloys via additive manufacturing and offers a new-fangled insight for developing novel strained glass alloys.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

In this study, we proposed a quantitative framework to assess the land surface vulnerability baseline using time series datasets. Based on annual information of the “water-soil-climate-plant” system, which was characterized by the dynamic of surface water, soil erosion, drought, and vegetation in 1990–2022, we analyzed the spatial heterogeneity of land surface vulnerability baseline and explored its response to shifts in potential factors in the Hohhot-Baotou-Ordos-Yulin urban agglomeration. By incorporating time-series geospatial datasets and dynamic modeling approaches, we provide valuable insights for accurately assessing land surface vulnerability baseline, offering scientific supports for evaluating the resilience of land surface system in arid and semi-arid regions.

No description available