8,601 to 8,610 of 11,426 Results
MS Excel Spreadsheet - 135.4 KB -
MD5: 721e00937042c5030fe63d230987664a
Microsoft Excel version of dataset |
Dec 6, 2019
Aspaas, Per Pippin; Kontler, László; Pataki, Katalin, 2019, "Metadata serving as basis for illustrations of Maximilian Hell's network in the book "Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe" by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020)", https://doi.org/10.18710/CVW8YU, DataverseNO, V1, UNF:6:HGHnvKEvlfyxCrbYYaLHmA== [fileUNF]
The book "Maximilian Hell (1720-1792) and the Ends of Jesuit Science in Enlightenment Europe" by Per Pippin Aspaas and László Kontler (Brill Academic Publishers, 2020) includes several illustrations, including one visualization of Hell's surviving correspondence and another of sites of observation recorded in the appendices of the Ephemerides Astro... |
Adobe PDF - 411.5 KB -
MD5: 98e8124729fa5f8706b77d84882f4e9c
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Tabular Data - 46.5 KB - 8 Variables, 364 Observations - UNF:6:GrLG+FURgsdlJ84vsb56sQ==
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Plain Text - 41.3 KB -
MD5: b611acc89f3114abed781e767dd71cac
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Tabular Data - 4.2 KB - 5 Variables, 73 Observations - UNF:6:bSfxPmflMTInT3Rjh2oWDg==
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Plain Text - 3.9 KB -
MD5: 752f3dcac0800afedb74fd28bcae0c86
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Adobe PDF - 1004.0 KB -
MD5: df3053f44ced6f62204186ebde98ab1e
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Nov 15, 2019
Skjeldestad, Finn Egil, 2019, "Replication Data for: Quality control of cervical cytology using a 3-type HPV mRNA test increases screening program sensitivity of cervical intraepithelial neoplasia grade 2+ in young Norwegian women – a cohort study", https://doi.org/10.18710/TDJV8X, DataverseNO, V1, UNF:6:M7dRklbtWaDqpYHrG432PA== [fileUNF]
The dataset comprise the variables necessary to replicate the results published. Abstract: Within 2021, Norway intends to complete implementation of HPV DNA-based primary screening for cervical cancer for women 34-69 years, while continue cytology-based screening for women 25-33 years. Over the recent years, the incidence of cervical cancer has inc... |
Adobe PDF - 749.1 KB -
MD5: 730fecab1e9ba23367963928e08317bf
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