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1,681 to 1,690 of 13,103 Results
Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
May 11, 2022 - TROLLing
Verroens, Filip; De Cuypere, Ludovic, 2022, "Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis", https://doi.org/10.18710/WVW9U4, DataverseNO, V1
Dataset abstract The dataset includes an annotated corpus sample of N = 2000 French sentences with se mettre à or commencer à (1000 observations of each verb). The sample was drawn from the literary corpus Frantext (FT) and the journalistic corpus Le Monde (1000 observations from both corpora). The sample is balanced for verb as well as corpus, so...
0_ReadMe_Fring_20220405.txt
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Plain Text - 8.5 KB - MD5: 7d30dd5d84b735a572830b627a66605a
fring_20220330.csv
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Comma Separated Values - 140.6 KB - MD5: 901c43e511f809aff6c3967c3414468f
data file, csv-file with ";" as separator. Missing values are marked as "NA".
fring_20220330.Rmd
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Unknown - 4.1 KB - MD5: a6368354556ea509b73cc5859931d93e
R Notebook with the data analysis
fring_queries_20220407.txt
May 11, 2022 - Replication Data for: French ingressives and (phasal) aspect. A frame-semantic corpus-based analysis
Plain Text - 5.6 KB - MD5: b5725b8c49c545428c3b5b8fceda174b
Queries using regular expressions to retrieve corpus data from Le monde and FRANTEXT
Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
May 6, 2022 - University of Bergen
Ribeiro, Pedro A.; Sjøtun, Kjersti, 2022, "Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway", https://doi.org/10.18710/IIZ1BZ, DataverseNO, V1
The dataset contains individual diploid genotypes for 11 microsatellite markers screened in 21 population samples of the seaweed Saccharina latissima along the coast of Norway between August 2016 and June 2018. The data is associated with the article: Ribeiro PA, Næss, T, Dahle G, Asplin L, Meland K, Fredriksen S, Sjøtun K (2022). Going with the fl...
00_README.txt
May 6, 2022 - Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
Plain Text - 2.3 KB - MD5: e2dccfa577348ac37129ce772442f58c
Readme file with details about the dataset
01_Stations.txt
May 6, 2022 - Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
Plain Text - 1.4 KB - MD5: be0846fe759af647728c48d4c304d491
Name and geographical positions of all sampling stations
02_microsatellite_genotypes.txt
May 6, 2022 - Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
Plain Text - 39.0 KB - MD5: df2355d7dada0b33664927a1ea6dff98
Replication Data for: A minute of your time: The impact of survey recruitment method and interview location on the value of travel time
Replication Data for: A minute of your time: The impact of survey recruitment method and interview location on the value of travel time
May 6, 2022
Halse, Askill H.; Flügel, Stefan; Kouwenhoven, Marco; de Jong, Gerard; Sundfør, Hanne B.; Hulleberg, Nina; Jordbakke, Guri N.; Lindhjem, Henrik, 2022, "Replication Data for: A minute of your time: The impact of survey recruitment method and interview location on the value of travel time", https://doi.org/10.18710/NZ0D9G, DataverseNO, V1
This dataset contains backgroun data for a study testing the impact of survey recruitment methods and interview location on the value of travel time. Respondents recruited from an internet panel, an email registry, and in the field answered surveys, both while at home and while travelling, on how much they shorter travel times. The dataset contains...
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