AUSSDA

Metrics

172,072 Downloads

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.

Publication Status: Published

2,371 to 2,380 of 5,960 Results

10065_vi_en_v1_0.tab Jul 16, 2021 - AUTNES Content Analysis of Party Newspaper Ads and Campaign Posters 2013 (SUF edition) Tabular Data - 1.8 MB - 3 Variables, 49567 Observations - UNF:6:y1vk/j23kpJ2WR739fMzsA== Documentation Variable identifiers and descriptions - machine-readable
AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) Jul 16, 2021 - AUTNES Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)", https://doi.org/10.11587/2KDUOR, AUSSDA, V1, UNF:6:ZASHCu3GWMUwq/VnwH+RXQ== [fileUNF] Full edition for scientific use. The AUTNES dataset on TV confrontations contains data collected from fifteen debates between pairs of top candidates in the 2013 national election campaign. The debates were televised by the Austrian national broadcasting company ORF between August 29th and September 24th, 2013. All statements spoken during the deba...
10067_co_en_v1_0.pdf Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) Adobe PDF - 322.2 KB - MD5: 3104bd7dfb15ed7d72181c102f1cb6a4 CodebookDocumentation Codebook
10067_da_en_v1_0.tab Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) Tabular Data - 3.3 MB - 57 Variables, 10943 Observations - UNF:6:eN/+Jb2ONQeqsSwTpgtDoQ== DataSTATA Core data file - STATA format - 57 Variables, 10943 Observations
10067_da_en_v1_0.zip Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) ZIP Archive - 583.8 KB - MD5: 6cb0582a9f131427a8a87924bccedc7b CSVData Core data file - compressed csv format- 57 Variables, 10943 Observations
10067_da_en_v1_0.zsav Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) Unknown - 2.3 MB - MD5: 8a165d7334265a39dabb68dae8dcc37e DataSPSS Core data file - compressed SPSS format - 57 Variables, 10943 Observations
10067_vi_en_v1_0.tab Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition) Tabular Data - 1.4 MB - 3 Variables, 40125 Observations - UNF:6:Pt7nlABAhlE2tCHVMWDI3w== Documentation Variable identifiers and descriptions - machine-readable
SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition) Jul 5, 2021 - ZSI Seebacher, Lisa M.; Konzett-Smoliner, Stefanie, 2021, "SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)", https://doi.org/10.11587/MG9VQK, AUSSDA, V1, UNF:6:z+1IC88WgVnoq28YFrqzng== [fileUNF] Full edition for scientific use. The dataset comprises the data from 1468 young learners aged between 8 and 21, who stem from 17 European countries and Israel/Palestine and participated in science workshops offered by 19 museums and maker spaces. Data was collected in the realm of the H2020-funded SySTEM 2020 project by the means of a quantitative...
10745_co_en_v1_0.zip Jul 5, 2021 - SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition) ZIP Archive - 53.6 KB - MD5: 74d958cbd8e10df067fec632b7b1de85 CodebookDocumentation Codebook (zipped Excel.xlsx)
10745_da_en_v1_0.tab Jul 5, 2021 - SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition) Tabular Data - 1.4 MB - 514 Variables, 1468 Observations - UNF:6:z+1IC88WgVnoq28YFrqzng== DataSTATA Core data file - STATA format - 514 Variables, 1468 Observations

10065_vi_en_v1_0.tab

Jul 16, 2021 - AUTNES Content Analysis of Party Newspaper Ads and Campaign Posters 2013 (SUF edition)

Tabular Data - 1.8 MB - 3 Variables, 49567 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

Jul 16, 2021 - AUTNES

Müller, Wolfgang C.; Bodlos, Anita; Dolezal, Martin; Eder, Nikolaus; Ennser-Jedenastik, Laurenz; Kaltenegger, Matthias; Meyer, Thomas M.; Praprotnik, Katrin; Winkler, Anna Katharina, 2021, "AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)", https://doi.org/10.11587/2KDUOR, AUSSDA, V1, UNF:6:ZASHCu3GWMUwq/VnwH+RXQ== [fileUNF]

Full edition for scientific use. The AUTNES dataset on TV confrontations contains data collected from fifteen debates between pairs of top candidates in the 2013 national election campaign. The debates were televised by the Austrian national broadcasting company ORF between August 29th and September 24th, 2013. All statements spoken during the deba...

10067_co_en_v1_0.pdf

Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

Adobe PDF - 322.2 KB -

CodebookDocumentation

Codebook

10067_da_en_v1_0.tab

Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

Tabular Data - 3.3 MB - 57 Variables, 10943 Observations -

DataSTATA

Core data file - STATA format - 57 Variables, 10943 Observations

10067_da_en_v1_0.zip

Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

ZIP Archive - 583.8 KB -

CSVData

Core data file - compressed csv format- 57 Variables, 10943 Observations

10067_da_en_v1_0.zsav

Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

Unknown - 2.3 MB -

DataSPSS

Core data file - compressed SPSS format - 57 Variables, 10943 Observations

10067_vi_en_v1_0.tab

Jul 16, 2021 - AUTNES Content Analysis of ORF TV Confrontations 2013 (SUF edition)

Tabular Data - 1.4 MB - 3 Variables, 40125 Observations -

Documentation

Variable identifiers and descriptions - machine-readable

SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)

Jul 5, 2021 - ZSI

Seebacher, Lisa M.; Konzett-Smoliner, Stefanie, 2021, "SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)", https://doi.org/10.11587/MG9VQK, AUSSDA, V1, UNF:6:z+1IC88WgVnoq28YFrqzng== [fileUNF]

Full edition for scientific use. The dataset comprises the data from 1468 young learners aged between 8 and 21, who stem from 17 European countries and Israel/Palestine and participated in science workshops offered by 19 museums and maker spaces. Data was collected in the realm of the H2020-funded SySTEM 2020 project by the means of a quantitative...

10745_co_en_v1_0.zip

Jul 5, 2021 - SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)

ZIP Archive - 53.6 KB -

CodebookDocumentation

Codebook (zipped Excel.xlsx)

10745_da_en_v1_0.tab

Jul 5, 2021 - SySTEM 2020 Project Data on Science Learning Ecologies of Young Learners (SUF edition)

Tabular Data - 1.4 MB - 514 Variables, 1468 Observations -

DataSTATA

Core data file - STATA format - 514 Variables, 1468 Observations

Add Data

Share Dataverse

Link Dataverse

Reset Modifications