5,711 to 5,720 of 138,183 Results
Comma Separated Values - 231.8 KB -
MD5: da7d964d80a4a5c110dcf33ff3d4a459
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Comma Separated Values - 147.9 MB -
MD5: 0f85a09c7139e3ca646a5f7a5b65c629
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Jun 10, 2025 - University of South-Eastern Norway
Heeres Rick, 2025, "Replication data for: Are non-social species more social than we think? Seasonal patterns in sociality in a solitary terrestrial carnivore", https://doi.org/10.23642/USN.24949185, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: Replication data for: Are non-social species more social than we think? Seasonal patterns in sociality in a solitary terrestrial carnivore Replication data for: Flexibility in female spatiotemporal behavioral tactics to counter infanticide risk during the mating season GPS data used for the manuscript (see above). Th... |
Plain Text - 71.8 MB -
MD5: 8069780bb441bebca476ccdcde2f2bae
Data_Sociality_2024.txt |
Plain Text - 1.9 KB -
MD5: e5aa657dd5edbd035af000c2149949bc
ReadMe_Sociality_Data.txt |
Jun 10, 2025 - University of South-Eastern Norway
Myrvold Jana; Mjøseng Anneline, 2025, "Search strategies for a scoping review article "Interaction between human vision and virtual reality technologies, benefits, risks and harms"", https://doi.org/10.23642/USN.29125976, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: This dataset consists of the search documentation for a review on interaction between human vision and virtual reality technologies. It contains strategies for the databases Medline (Ovid), Scopus, Web of Science Core Collection and IEEE Xplore |
Plain Text - 1.8 KB -
MD5: f03e01e6064a50840df5b5451bb0b906
ReadMe.txt.txt |
MS Word - 27.6 KB -
MD5: 92054c7d41f40c6e90359590f4028ccb
Search_history_databases.docx |
Adobe PDF - 97.0 KB -
MD5: 754aea1ff0c15b3b2060b8d3bfc66cab
Search_history_databases.pdf |
Jun 4, 2025 - TROLLing
De Timmerman, Romeo, 2025, "Replication Data for: Covering Blue Voices: African American English and Authenticity in Blues Covers", https://doi.org/10.18710/DOJXAV, DataverseNO, V1
Repository Description This repository contains data for a quantitative analysis of blues lyrics performed by artists across time and socio-cultural groups. This analysis is a part of my PhD project on the use of African American English features as indexical expressions of authenticity in blues music. The particular study for which data is shared... |
