7,651 to 7,660 of 11,140 Results
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 83.4 KB -
MD5: ede41cb09ed960ef25acbff8692baa96
Forcing estimates for the historical + RCP2.6 experiments based on the F13 method |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 99.6 KB -
MD5: 239047aaa6b4ddd9189774c429414d74
Forcing estimates for the historical + RCP4.5 experiments |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 100.1 KB -
MD5: 02b3160a257e57db8dc404b76f13207a
Forcing estimates for the historical + RCP4.5 experiments based on the F13 method |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 66.1 KB -
MD5: deb2c0fb4a11850a7a6d279542894611
Forcing estimates for the historical + RCP6.0 experiments |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 66.5 KB -
MD5: bae826f2b1f4e86f8c9e5498c8e609f9
Forcing estimates for the historical + RCP6.0 experiments based on the F13 method |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 99.4 KB -
MD5: f99a896fd4a6948bef8496d6aea76b48
Forcing estimates for the historical + RCP8.5 experiments |
Oct 27, 2020 -
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
Plain Text - 99.8 KB -
MD5: 33a95310512991164cf3cad8c666e755
Forcing estimates for the historical + RCP8.5 experiments based on the F13 method |
Oct 20, 2020 - The Stein Rokkan Research Group for Quantitative Social and Political Science
Solvang, Øystein; Eriksen, Kari Elida; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Country Level Social Science Dataset", https://doi.org/10.18710/VMUP44, DataverseNO, V2
The dataset is a cross-sectional dataset covering social and public health data pertaining to the Covid-19 outbreak in 199 countries. The dataset was compiled from public register and other openly available sources. Data on Covid-19 cases and related fatalities is current as of m... |
Oct 20, 2020 -
Covid-19 Country Level Social Science Dataset
Plain Text - 9.6 KB -
MD5: 8f51e8186726b9e98534feb833e48db1
|
Oct 20, 2020 -
Covid-19 Country Level Social Science Dataset
Adobe PDF - 331.3 KB -
MD5: c4d5ff7c079d7be8e246c13150aa66a5
|