UiT The Arctic University of Norway

Looking for TROLLing? Click here: https://trolling.uit.no/

NMDC Node UiT

PolarFront

The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

7,941 to 7,950 of 11,432 Results

TGO_Ramfjordmoen_ionosonde_data_2019-01.SAO.zip Oct 27, 2020 - TGO Ramfjordmoen Ionosonde Data January 2019 ZIP Archive - 5.1 MB - MD5: 36f5f6b801131c23730af1e776f8ca15
historical_and_rcp26_forcing_estimates.txt Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response Plain Text - 83.1 KB - MD5: 5d15077bb61b46309ebc3e60a7c783f3 Forcing estimates for the historical + RCP2.6 experiments
historical_and_rcp26_forcing_F13method.txt 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
historical_and_rcp45_forcing_estimates.txt 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
historical_and_rcp45_forcing_F13method.txt 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
historical_and_rcp60_forcing_estimates.txt 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
historical_and_rcp60_forcing_F13method.txt 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
historical_and_rcp85_forcing_estimates.txt 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
historical_and_rcp85_forcing_F13method.txt 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
Covid-19 Country Level Social Science Dataset 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 medio July 2020. Data on other variables is mainly from the last three...

TGO_Ramfjordmoen_ionosonde_data_2019-01.SAO.zip

Oct 27, 2020 - TGO Ramfjordmoen Ionosonde Data January 2019

ZIP Archive - 5.1 MB -

historical_and_rcp26_forcing_estimates.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 83.1 KB -

Forcing estimates for the historical + RCP2.6 experiments

historical_and_rcp26_forcing_F13method.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 83.4 KB -

Forcing estimates for the historical + RCP2.6 experiments based on the F13 method

historical_and_rcp45_forcing_estimates.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 99.6 KB -

Forcing estimates for the historical + RCP4.5 experiments

historical_and_rcp45_forcing_F13method.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 100.1 KB -

Forcing estimates for the historical + RCP4.5 experiments based on the F13 method

historical_and_rcp60_forcing_estimates.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 66.1 KB -

Forcing estimates for the historical + RCP6.0 experiments

historical_and_rcp60_forcing_F13method.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 66.5 KB -

Forcing estimates for the historical + RCP6.0 experiments based on the F13 method

historical_and_rcp85_forcing_estimates.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 99.4 KB -

Forcing estimates for the historical + RCP8.5 experiments

historical_and_rcp85_forcing_F13method.txt

Oct 27, 2020 - Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

Plain Text - 99.8 KB -

Forcing estimates for the historical + RCP8.5 experiments based on the F13 method

Covid-19 Country Level Social Science Dataset

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 medio July 2020. Data on other variables is mainly from the last three...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications