Views provided by UsageCounts
This dataset is associated with the following publication, where further details are provided and which should be cited for further applications: Huang et al. 2022, Non-linear response of temperature-related mortality risk to global warming in England and Wales, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/ac50d5. The data contain daily temperature-related mortality estimates for ten NUTS 1 regions of England and Wales over the period 1900 to 2099, based on temperatures from the 2018 UK Climate Projections (UKCP18) simulations. Exposure-response relationships are based on present-day observations and extrapolated where necessary. Variables in the csv files are as follows: "tmean": daily mean temperature (in degrees C) "bAD": backward attributable deaths "fAD": forward attributable deaths RCP 8.5 and RCP 2.6 scenarios are considered, as indicated in the file names. Model numbers refer to UKCP18 climate models.
climate change, health, heat, cold, mortality
climate change, health, heat, cold, mortality
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 |

Views provided by UsageCounts