11 to 20 of 111 Results
ZIP Archive - 645.4 KB -
MD5: 8db3e4200fc1016f3b4735feb1a43597
Core data file - compressed CSV format - 362 Variables, 5270 Observations – German |
Unknown - 813.5 KB -
MD5: f9f7bd268bef1b59be0b0bd252759204
Core data file - compressed SPSS format - 362 Variables, 5270 Observations – German |
Adobe PDF - 984.7 KB -
MD5: 150db7d48dbb12b8a155ecaad6ccd37c
Codebook – German |
Adobe PDF - 495.5 KB -
MD5: 6592375ff9ac1d9fd75c399656402f23
Method report – German |
Adobe PDF - 1.2 MB -
MD5: f4ed0edcfe2d7148cf29acbdc6fed564
Questionnaire – German |
Adobe PDF - 56.0 KB -
MD5: ce607551e1404a1d32a1534808e37157
Data curation protocol |
Tabular Data - 78.7 KB - 3 Variables, 2022 Observations - UNF:6:VBkihLYV2WSwb15MkGJb7A==
Variable identifiers and descriptions – machine-readable – German |
May 7, 2026 - COVID-19 Pandemic
Vadrot, Alice; Langlet, Arne; Brogat, Emmanuelle; Dunshirn, Paul; Ruiz-Rodriguez, Silvia Carolina; Tolochko, Petro; Tessnow-von Wysocki, Ina; Wanneau, Krystel, 2026, "The BBNJ (Biodiversity Beyond National Jurisdiction) negotiations during the COVID-19 crisis (SUF edition)", https://doi.org/10.11587/CLHAKX, AUSSDA, V1, UNF:6:qqMAP5KJtnLKZsRa2IBlyQ== [fileUNF]
Full edition for scientific use. This dataset presents the data from two waves of a survey conducted by the MARIPOLDATA team to assess the impact of the COVID-19 pandemic on negotiations for a new legally binding international agreement on the conservation and sustainable use of marine biodiversity beyond national jurisdiction (BBNJ). The first sur... |
May 7, 2026 -
The BBNJ (Biodiversity Beyond National Jurisdiction) negotiations during the COVID-19 crisis (SUF edition)
Adobe PDF - 296.0 KB -
MD5: c4c08c5b715f0d0c2a97e3e41854baaf
Codebook and Questionnaires (Waves 1 and 2) - English |
May 7, 2026 -
The BBNJ (Biodiversity Beyond National Jurisdiction) negotiations during the COVID-19 crisis (SUF edition)
Tabular Data - 97.2 KB - 62 Variables, 105 Observations - UNF:6:ojCSL458jErlepF9RLTA4A==
Core data file (Wave 1) – Stata format – 62 Variables, 105 Observations – English |
