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AHP calculation.csv
Sep 5, 2023 - Replication Data for: "Ranking the Benefits of Early Contractor Involvement in Infrastructure Projects from the Client’s Perspective".
Comma Separated Values - 13.0 KB - MD5: 6432c38fb01b8c08a5078c87a05c9ff9
Compilation of survey responses.pdf
Aug 10, 2023 - Replication Data for: "Ranking the Benefits of Early Contractor Involvement in Infrastructure Projects from the Client’s Perspective".
Adobe PDF - 48.9 MB - MD5: 654b8e5b292a872362e7732b722e8786
The file is compliant with pdf/a-3b standards.
Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe
Apr 8, 2021
Lorås, Madeleine; Riese, Emma; Ukrop, Martin; Effenberger, Tomáš, 2021, "Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe", https://doi.org/10.18710/O8FCIK, DataverseNO, V1, UNF:6:DLTg6jcGGlTVXf+ont4Ecg== [fileUNF]
Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenge...
00_ReadMe.txt
Apr 8, 2021 - Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe
Plain Text - 6.8 KB - MD5: 3ee1af338666ef440af9a8fa3e29113d
ReadMe file
Themes_codes_and_quotes.tab
Apr 8, 2021 - Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe
Tabular Data - 39.8 KB - 5 Variables, 127 Observations - UNF:6:DLTg6jcGGlTVXf+ont4Ecg==
Formated version of themes, codes and quotes.
Themes_codes_and_quotes.txt
Apr 8, 2021 - Supplementary data for study: Challenges Faced by Teaching Assistants in Computer Science Education Across Europe
Plain Text - 39.0 KB - MD5: f89f5eae7dab1672a316a87fe4c7af91
Themes, codes and quotes.
Icing Validation Database
Sep 18, 2020
Hann, Richard; Müller, Nicolas, 2020, "Icing Validation Database", https://doi.org/10.18710/5XYALW, DataverseNO, V1, UNF:6:vncwD5HJ8OImcrUmCc90IQ== [fileUNF]
This database contains an overview of experimental datasets that can be used for the validation of ice prediction simulation methods. This database was generated for the 1st AIAA Ice Prediction Workshop, scheduled for 2021. The database contains entries on 71 experimental dataset...
00_ReadMe.txt
Sep 18, 2020 - Icing Validation Database
Plain Text - 2.3 KB - MD5: 9ba9fe8258a685ff33b0ac60575ce341
01_Database.xlsx
Sep 18, 2020 - Icing Validation Database
MS Excel Spreadsheet - 35.0 KB - MD5: 1f7dd95d324fc9ca5b338bb7d4cbbfbd
02_Database.csv
Sep 18, 2020 - Icing Validation Database
Tabular Data - 34.9 KB - 14 Variables, 71 Observations - UNF:6:vncwD5HJ8OImcrUmCc90IQ==
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