DataverseNO

Metrics

2,265,504 Downloads

MF Norwegian School of Theology, Religion and Society

Nofima

Nord University

Norwegian Institute of Bioeconomy Research (NIBIO)

Norwegian University of Life Sciences (NMBU)

NTNU – Norwegian University of Science and Technology

OsloMet – Oslo Metropolitan University

UiT The Arctic University of Norway

University of Agder

University of Bergen

University of Inland Norway

University of Oslo

University of South-Eastern Norway

University of Stavanger

VID Specialized University

Western Norway University of Applied Sciences

Østfold University of Applied Sciences

TROLLing

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.

135,681 to 135,690 of 140,771 Results

Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Jan 17, 2020 - Norwegian University of Life Sciences (NMBU) Dörsch, Peter, 2020, "Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia", https://doi.org/10.18710/I6BD3R, DataverseNO, V1 The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Cro...
00_Readme.txt Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Plain Text - 1.6 KB - MD5: 78fe428b9f321f59e58b127912ffe441
01_N2O_CH4_2016.txt Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Plain Text - 8.2 KB - MD5: 55511ee99eae9bc0fc4123b4e20c9768
02_N2O_CH4_2015.txt Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Plain Text - 7.3 KB - MD5: 91ce87f4cd458658d10e168d00e86cfa
03_grain_yields_2015.txt Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Plain Text - 308 B - MD5: 54a14dbeac975e54c81cbf77ae484555
04_grain_yields_2016.txt Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia Plain Text - 307 B - MD5: 4ff3c50f00461bc541469d65cc3c1826
Using an algorithmic approach for grouping roles and sub-units Jan 15, 2020 - Norwegian University of Life Sciences (NMBU) Worren, Nicolay, 2020, "Using an algorithmic approach for grouping roles and sub-units", https://doi.org/10.18710/5MS1JK, DataverseNO, V1, UNF:6:gq+dd5edJzsCJtfptyN8OQ== [fileUNF] Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input an...
00_Read_me.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 1.6 KB - MD5: 3bd44fcd0434581ed6107a8e69101a91 Instructions
01_Data_university_example.tab Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Tabular Data - 1.1 KB - 17 Variables, 15 Observations - UNF:6:CJvzjFEVZx+bg3C/ZN1SUw== Data
02_Data_university_current.txt Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units Plain Text - 884 B - MD5: fd310e7de8be8a2513fe605cb4f047ce Data

Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Jan 17, 2020 - Norwegian University of Life Sciences (NMBU)

Dörsch, Peter, 2020, "Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia", https://doi.org/10.18710/I6BD3R, DataverseNO, V1

The data report weekly measurements of soil nitrous oxide (N2O) emission and methane (CH4) uptake in the growing seasons 2015 and 2016 in a maize field experiment performed on the Hawassa University campus, Central Rift Valley, Ethiopia. The experiment was designed to test the effect of intercropping the forage legumes lablab (L. purpureus) and Cro...

00_Readme.txt

Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Plain Text - 1.6 KB -

01_N2O_CH4_2016.txt

Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Plain Text - 8.2 KB -

02_N2O_CH4_2015.txt

Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Plain Text - 7.3 KB -

03_grain_yields_2015.txt

Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Plain Text - 308 B -

04_grain_yields_2016.txt

Jan 17, 2020 - Replication Data for: Effect of legume intercropping on N2O emissions and CH4 uptake during maize production in the Great Rift Valley, Ethiopia

Plain Text - 307 B -

Using an algorithmic approach for grouping roles and sub-units

Jan 15, 2020 - Norwegian University of Life Sciences (NMBU)

Worren, Nicolay, 2020, "Using an algorithmic approach for grouping roles and sub-units", https://doi.org/10.18710/5MS1JK, DataverseNO, V1, UNF:6:gq+dd5edJzsCJtfptyN8OQ== [fileUNF]

Data for examples used in article to be published in Journal of Organizational Design, 2020. The purpose of the article is to describe a new tool - Reconfig - for mapping and optimizing organizational design (i.e., formal structure) based on data about work process interdependencies. The tool takes DSM (Design Structure Matrix) data as the input an...

00_Read_me.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 1.6 KB -

Instructions

01_Data_university_example.tab

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Tabular Data - 1.1 KB - 17 Variables, 15 Observations -

Data

02_Data_university_current.txt

Jan 15, 2020 - Using an algorithmic approach for grouping roles and sub-units

Plain Text - 884 B -

Data

Add Data

Share Dataverse

Link Dataverse

Reset Modifications