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Publication Year: 2024

3,471 to 3,480 of 12,975 Results

Data_used.dat Feb 27, 2024 - Replication Data for: Klimaet i ulike deler av landet og betydningen det har for bosettingen Fixed Field Text Data - 4.3 KB - MD5: 45a559037ffe72061a2bed7929c57a04
Data_used.sav Feb 27, 2024 - Replication Data for: Klimaet i ulike deler av landet og betydningen det har for bosettingen SPSS Binary - 3.7 KB - MD5: 61e59dbbf74907968684693ce15390b9
00_README.txt Feb 26, 2024 - Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings Plain Text - 11.0 KB - MD5: 71bf7d6dfd00b29ac6a8b2a80c0521ca Readme file for David Arthur R. Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings published as Richards et al npjclimateaction 2024
EANSsustainability.txt Feb 26, 2024 - Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings Plain Text - 57.9 KB - MD5: effafaf6c83da15c30bb89b93646ee4c Dataset used to calculate the greenhouse gas emissions for two academic events of the European Academy of Nursing Science as reported in 'A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings' published as Richards et al npjclimateaction 2024
00_ReadMe.txt Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data Plain Text - 11.1 KB - MD5: 2fa22d1aecd1df02d832f2c0c046a17a Description of data
01_2024_Figures.zip Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data ZIP Archive - 13.2 MB - MD5: cd572537d71f1d1a1bbf134d164c959f All figures and plot used in preprint
02_2024_Dataset.geojson Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data GeoJSON - 993.2 MB - MD5: a1d5e6768a5829f877f2eec6a4e0b532 Annual rutting data, with known explanatory variables, and geographical location
03_A_spatial_statistical_model_1_Jourdain_New_update.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 62.4 KB - MD5: 6c3a71cb4468a916980dc955544fee34 Spatial statistical rutting model with all explanatory variables (R codes)
04_A_spatial_statistical_model_2_Jourdain_New_update.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 61.0 KB - MD5: 01909e473400fd3e58216975c7c13a75 Spatial statistical rutting model with up to two explanatory variables (R codes)
05_A_spatial_statistical_model_3_Jourdain_New_update.R Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data R Syntax - 61.0 KB - MD5: 89a9c9795ba60cbb0b369d81e9a94e43 Spatial statistical rutting model with up to one explanatory variables (R codes)

Data_used.dat

Feb 27, 2024 - Replication Data for: Klimaet i ulike deler av landet og betydningen det har for bosettingen

Fixed Field Text Data - 4.3 KB -

Data_used.sav

Feb 27, 2024 - Replication Data for: Klimaet i ulike deler av landet og betydningen det har for bosettingen

SPSS Binary - 3.7 KB -

00_README.txt

Feb 26, 2024 - Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings

Plain Text - 11.0 KB -

Readme file for David Arthur R. Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings published as Richards et al npjclimateaction 2024

EANSsustainability.txt

Feb 26, 2024 - Replication Data for: A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings

Plain Text - 57.9 KB -

Dataset used to calculate the greenhouse gas emissions for two academic events of the European Academy of Nursing Science as reported in 'A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings' published as Richards et al npjclimateaction 2024

00_ReadMe.txt

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

Plain Text - 11.1 KB -

Description of data

01_2024_Figures.zip

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

ZIP Archive - 13.2 MB -

All figures and plot used in preprint

02_2024_Dataset.geojson

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

GeoJSON - 993.2 MB -

Annual rutting data, with known explanatory variables, and geographical location

03_A_spatial_statistical_model_1_Jourdain_New_update.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 62.4 KB -

Spatial statistical rutting model with all explanatory variables (R codes)

04_A_spatial_statistical_model_2_Jourdain_New_update.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 61.0 KB -

Spatial statistical rutting model with up to two explanatory variables (R codes)

05_A_spatial_statistical_model_3_Jourdain_New_update.R

Feb 22, 2024 - A Spatial-statistical model to analyse historical rutting data

R Syntax - 61.0 KB -

Spatial statistical rutting model with up to one explanatory variables (R codes)

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