DataverseNO

Metrics

1,801,408 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 College

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.

134,261 to 134,270 of 137,575 Results

PA11_Z_a_8_Westmin.zip Nov 1, 2018 - Digitized Archive PA 11 John Scott Keltie and Fridtjof Nansen: Correspondence and other documents ZIP Archive - 28.2 MB - MD5: 455cb4899434e83b15d6c79740ef748a
Multi-Dimensional Analysis of Czech Oct 30, 2018 - TROLLing Cvrček, Václav, 2018, "Multi-Dimensional Analysis of Czech", https://doi.org/10.18710/QAJKZW, DataverseNO, V1, UNF:6:5rqhrfGF8iJspOAQER3OCA== [fileUNF] Original data for a general-purpose multi-dimensional analysis model of register variation in Czech. This post contains a CSV data set of 137 linguistic features measured on 3428 Czech text chunks, and an R script which performs a factor analysis on this data set. The results of this factor analysis were used as a basis for an 8-dimensional model o...
00_README.docx Oct 30, 2018 - Multi-Dimensional Analysis of Czech MS Word - 48.1 KB - MD5: 4b01482c643e34dc80b32e200a8c74e3 Start here.
00_README.pdf Oct 30, 2018 - Multi-Dimensional Analysis of Czech Adobe PDF - 612.3 KB - MD5: 0ac6cbd2495d939cc50087a6334c526e Start here.
01_2017-12-05.csv Oct 30, 2018 - Multi-Dimensional Analysis of Czech Tabular Data - 7.1 MB - 143 Variables, 3428 Observations - UNF:6:5rqhrfGF8iJspOAQER3OCA== Values of linguistic features in individual text chunks. Each row of the table corresponds to a text chunk in the Koditex corpus. Columns represent linguistic features, and additionally text chunk ID, classification metadata (MODE, DIVISION, SUPERCLASS, CLASS) and length (_LEN). The abbreviations for the classification categories (= values in th...
02_factor_analysis.R Oct 30, 2018 - Multi-Dimensional Analysis of Czech R Syntax - 1007 B - MD5: 4f670b765505156dc3b9cfd53b7d397d R code for performing factor analysis on the supplied data set.
Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale Oct 29, 2018 - UiT The Arctic University of Norway Ancin-Murguzur, Francisco-Javier; Muñoz, Lorena; Monz, Christopher; Fauchald, Per; Hausner, Vera, 2018, "Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale", https://doi.org/10.18710/HDPQGY, DataverseNO, V1 Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal Abstract: Decision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality...
00_README.txt Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale Plain Text - 1.4 KB - MD5: d3fee9a44b43b9e6a0b5e12e3209da70
Part_1.zip Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale ZIP Archive - 801.8 MB - MD5: 1df9a3f8c60e26cf90d5810fc841cdc1 Results of the permutation process, done in the first part of the "Permutation script.R" file
Part_2.zip Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale ZIP Archive - 24.3 MB - MD5: 4418a62b20d540a6b1eac799dd9d0a3a Results of the parameter calculation process, done in the first part of the "Permutation script.R" file

PA11_Z_a_8_Westmin.zip

Nov 1, 2018 - Digitized Archive PA 11 John Scott Keltie and Fridtjof Nansen: Correspondence and other documents

ZIP Archive - 28.2 MB -

Multi-Dimensional Analysis of Czech

Oct 30, 2018 - TROLLing

Cvrček, Václav, 2018, "Multi-Dimensional Analysis of Czech", https://doi.org/10.18710/QAJKZW, DataverseNO, V1, UNF:6:5rqhrfGF8iJspOAQER3OCA== [fileUNF]

Original data for a general-purpose multi-dimensional analysis model of register variation in Czech. This post contains a CSV data set of 137 linguistic features measured on 3428 Czech text chunks, and an R script which performs a factor analysis on this data set. The results of this factor analysis were used as a basis for an 8-dimensional model o...

00_README.docx

Oct 30, 2018 - Multi-Dimensional Analysis of Czech

MS Word - 48.1 KB -

Start here.

00_README.pdf

Oct 30, 2018 - Multi-Dimensional Analysis of Czech

Adobe PDF - 612.3 KB -

Start here.

01_2017-12-05.csv

Oct 30, 2018 - Multi-Dimensional Analysis of Czech

Tabular Data - 7.1 MB - 143 Variables, 3428 Observations -

Values of linguistic features in individual text chunks. Each row of the table corresponds to a text chunk in the Koditex corpus. Columns represent linguistic features, and additionally text chunk ID, classification metadata (MODE, DIVISION, SUPERCLASS, CLASS) and length (_LEN). The abbreviations for the classification categories (= values in th...

02_factor_analysis.R

Oct 30, 2018 - Multi-Dimensional Analysis of Czech

R Syntax - 1007 B -

R code for performing factor analysis on the supplied data set.

Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

Oct 29, 2018 - UiT The Arctic University of Norway

Ancin-Murguzur, Francisco-Javier; Muñoz, Lorena; Monz, Christopher; Fauchald, Per; Hausner, Vera, 2018, "Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale", https://doi.org/10.18710/HDPQGY, DataverseNO, V1

Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal Abstract: Decision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality...

00_README.txt

Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

Plain Text - 1.4 KB -

Part_1.zip

Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

ZIP Archive - 801.8 MB -

Results of the permutation process, done in the first part of the "Permutation script.R" file

Part_2.zip

Oct 29, 2018 - Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

ZIP Archive - 24.3 MB -

Results of the parameter calculation process, done in the first part of the "Permutation script.R" file

Add Data

Share Dataverse

Link Dataverse

Reset Modifications