1,661 to 1,670 of 6,982 Results
Oct 13, 2024 -
Data repository for: Relative sea-level trends in southern Norway during the last millennium
Comma Separated Values - 1.9 KB -
MD5: 25c8bf8206bb9d63b3499f28b87dfc16
Generated output of the rBacon script |
Oct 13, 2024 -
Data repository for: Relative sea-level trends in southern Norway during the last millennium
Comma Separated Values - 4.2 KB -
MD5: 0f9b8cc36a9a8f61ff7ead5c91224307
Accretion rates calculated based on the results from "07_5" |
Oct 13, 2024 -
Data repository for: Relative sea-level trends in southern Norway during the last millennium
Comma Separated Values - 130.1 KB -
MD5: 24b646f617bb86fbd2fad95eda0ba386
Data of TV-1 set out against the generated age-depth model. |
Sep 30, 2024
Ishtiaque, Tausif Ahmed, 2024, "Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects", https://doi.org/10.18710/QXPRXF, DataverseNO, V1
Early Contractor Involvement (ECI) has been highlighted as a key to solving poor performance in large construction projects. This study investigates the tasks in the pre-construction phase that are most likely to benefit from having ECI based on the motivation of the client organ... |
Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Plain Text - 9.3 KB -
MD5: fc9f68f7ec9a18a41b45a52b71d29848
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Comma Separated Values - 10.8 KB -
MD5: 1eef3d0f96e4c0d3076b67cd5a5c948d
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Unknown - 123.4 KB -
MD5: 71fa7c58b5b8f77000508609912431f3
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Sep 30, 2024 -
Replication Data for: Exploring Client Motives for Early Contractor Involvement in Infrastructure Projects
Comma Separated Values - 11.3 KB -
MD5: a6152d50090641d5d71cefb6bca80cb0
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Sep 25, 2024
Veitch, Erik, 2024, "Questionnaire dataset about user experience of an autonomous ferry", https://doi.org/10.18710/9BBPGG, DataverseNO, V1
Questionnaire responses (N = 146 respondents) saved as text (comma-separated). Consists of 46 question items across four categories: (i) demographics (ii) user experience (iii) passenger attitudes (iv) feedback on ferry’s characteristics. Responses were provided voluntarily using... |
Plain Text - 15.6 KB -
MD5: b921030b4ae43521e4b2477efc896d71
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