ALBERT

Beschreibung: Fjords in the Arctic are key ecosystems and of great importance to both natural systems and human societies. The in situ monitoring of these systems is however quite difficult and some variables, such as light availability, are more difficult to collect than others. To address this knowledge gap the 'FjordLight' dataset was published on PANGAEA (Gentili et al., 2023). This dataset provides monthly values for bottom PAR (PAR_B) across seven key Arctic fjords, as well as annual averages and monthly climatology values for PAR_B, surface PAR (PAR(0-)), and the extinction coefficient of photosynthetically available radiation (K_PAR). Thanks to the rapid interest from the community for this dataset, we are now expanding upon it with an addendum: a collection of three additional files for each of the seven sites. Of particular importance to the study of photo-biological processes in the water column is K_PAR; however, the original FjordLight dataset did not include these monthly values because the size of these combined data would make the file large for many users' systems. In the present addendum, all monthly K_PAR data are included. These values are based on estimates of surface turbidity and irradiance derived from remotely sensed observations. Also included in this addendum are one file each for the standard deviation of the monthly climatologies and the annual climatologies for the three PAR variables (e.g. PAR(0-), K_PAR, PAR_B). Note that as these files are in addition to the original FjordLight dataset, they do not contain the same list of global variables and other metadata. All variables in the NetCDF files in this addendum are internally documented. The FjordLight R package that may be utilised to access and work with the FjordLight data has been updated and expanded for reading new files (Gentili et al., 2023; https://cran.r-project.org/web/packages/FjordLight/index.html).

Beschreibung: Raw multibeam water column data were collected aboard RV MARIA S. MERIAN during cruise MSM113 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 09.12.22-12.01.2023 from Las Palmas, Spain to Las Palmas, Spain in the Central Atlantic Ocean. Data were recorded off the NW-African continental margin and West of La Palma. The main aim of MSM113 was to realise an interdisciplinary approach, including a variety of geophysical, geological, geotechnical and oceanographic methods, to study processes that lead to the formation of large fields of sediment waves at the Northwest African margin. Sound velocity profiles (SVP) were applied on the data for calibration. Please see the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Provision of the data is part of the DAM Underway Project.

Beschreibung: Raw water column data were collected aboard RV MARIA S. MERIAN during cruise MSM112 using a Kongsberg EM 712 multibeam echosounder. The expedition took place during 07.10.-14.11.2022 from St. John's (Canada) to Cartagena (Colombia) in the Northern and Central Atlantic Ocean. MSM112 focused on the geophysical, sedimentological, and biogeochemical processes of the delta and ROFI, and searched for connections of the river mouth to the La Guajira upwelling system. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project.

Beschreibung: Raw multibeam bathymetry data were collected aboard RV MARIA S. MERIAN during cruise MSM110 using a Kongsberg EM 122 multibeam echosounder. The expedition took place during 07.08.2022 – 29.08.2022 from Reykjavik to Reykjavik (Iceland) in the Northern Atlantic Ocean. Data were recorded in the EEZs of Greenland and Iceland and outside. MSM110 focused on improving our understanding of anthropogenic changes in the biological production and diversity in the Arctic marine regions, and their effects on the ecosystem services as part of the Horizon 2020 project ECOTIP. Sound velocity profiles (SVP) were applied on the data for calibration. Please see environmental data and the cruise report for details. The data are unprocessed and can therefore contain incorrect depth measurements (artifacts) if not further processed. Note that refraction errors may occur when no proper SVP is applied. Acquisition and provision of the data are part of the DAM Underway Project and are according to the FAIR principles.

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).

Beschreibung: The VISSS is a camera system recording precipitating snowfall from two perspectives. Here, movies and images of falling precipitation particles are provided for one day at station Ny-Ålesund. For further details on the VISS Sensor see Maahn et al. (2024).