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CTD Profiles from the R/V Sanna cruise to Northwest Greenland fjords, August 11-31, 2016

Greenland fjords are the gateway connecting the Greenland Ice Sheet to the coastal ocean. The rapidly increasing discharge of meltwater and ice from the Greenland Ice Sheet has complex hydrodynamic and biogeochemically impacts on the coastal marine ecosystem around Greenland, although data is still limited for most fjord systems. Therefore, six different fjord systems in Northwest Greenland were investigated in August 2016 during an interdisciplinary research cruise aboard the R/V Sanna that On aimed to describe the physical, chemical and biological variability from glaciers to the shelf. This data set consists of 55 CTD profiles that were obtained with a Seabird 19plusV2 conductivity, temperature, depth CTD) instrument. In addition to measuring pressure, conductivity, and temperature, the CTD recorded chlorophyll-a fluorescence, photosynthetically available radiation (PAR), and dissolved oxygen. The instrument was factory calibrated before the cruise. The CTD recorded all variables at 4 Hz and the raw data were processed using Seabird standard workflow to produce 0.5 m binned profiles using the downcast data only. This dataset compiles all CTD variables measured from all profiles into a single netCDF file.  We would like to thank the captain and crew of R/V Sanna for excellent collaboration. The cruise was funded by the Danish Center for Marine Research and by the EU Horizon2020 funded project INTAROS.

opencc-by-4.0Dec 2020View details →

3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 21 August 2018 at 17:09 UTC

This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 21 August 2018. The UAV survey commenced at 17:09 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_417-419 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats.  A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to Remote Sensing.

opencc-by-4.0Dec 2020View details →

3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 20 August 2018 at 12:41 UTC

This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 20 August 2018. The UAV survey commenced at 12:41 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_493-497 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats.  A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to Remote Sensing.

opencc-by-4.0Jun 2022View details →

Carbonate Chemistry and δ18O-H2O from East and West Greenland fjords, August 2018 and 2016

Greenland’s fjords and coastal waters are highly productive and sustain important fisheries, but retreating glaciers and increasing meltwater supply are changing fjord circulation and biogeochemistry, which may threaten the future productivity of these unique ecosystems. The freshening of Greenland fjords caused by unprecedented melting of the Greenland Ice Sheet has the potential to alter carbonate chemistry in coastal waters, which would influence CO2 uptake as well as have biological consequences from acidification. However, few studies to date explore the current acidification state in Greenland coastal waters. Here we present the first-ever large-scale measurements of carbonate system parameters and δ18O measurements in 16 Greenlandic fjords and by combining datasets from two August cruises. HDMS Lauge Koch and RV Sanna cruises sampled on the East and West coast of Greenland in August 2018 and 2016 respectively. This dataset consists of 52 carbonate chemistry sample sites where dissolved inorganic carbon (DIC), total alkalinity (TA), and δ18O-H2O were measured throughout the water column. Water samples were collected in Niskin bottles and were transferred directly into triplicate 12 ml exetainers with a gas tight Tygon tubes, allowing overflow of at least 3 times the volume of the exetainer. Triplicate exetainers were collected for both DIC and TA at each depth. Samples were preserved with HgCl2 (saturated solution) to a final concentration of 0.02%. TA was measured on an Apollo SciTech AS-ALK2 total alkalinity titrator based on the Gran titration procedure for samples in West Greenland. While samples for East Greenland were measured on automatic titrator (Metrohm 888 Titrando), and a combined Metrohm glass electrode (Unitrode). DIC samples were analyzed on Apollo SciTech's AS-C3 analyzer for both cruises, using a sample volume of 0.5 ml. Routine analysis of Certified Reference Materials (provided by A. G. Dickson, Scripps Institution of Oceanography) verified that the accuracy of DIC and TA measurements. Coalescing this dataset therefore provides the first-ever analysis of wide-scale Greenland Fjord carbonate chemistry.   Environmental variables recorded by CTD instruments are available for cruises from the West and East coasts respectively at the following DOIs: <a href="https://doi.org/10.5281/zenodo.4062024">https://doi.org/10.5281/zenodo.4062024</a>  and <a href="https://doi.org/10.5281/zenodo.5572329">https://doi.org/10.5281/zenodo.5572329</a>.   We would like to thank the crew on board the HDMS Lauge Koch and RV Sanna for their collaboration. The Cruises were funded by Danish Centre for Marine Science (Grants: 2016-05 and 2017-06) and by the EU Horizon2020 funded project INTAROS (grant no. 727890) and the Danish Cooperation for Environment in the Arctic. This dataset is a contribution the project FACE-IT (The Future of Arctic Coastal Ecosystems – Identifying Transitions in Fjord Systems and Adjacent Coastal Areas). FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869154.

opencc-by-4.0Oct 2021View details →

Dataset from Holding et al. (2019)––Seasonal and spatial patterns of primary production in a high latitude fjord

Unprecedented melting of the Greenland Ice Sheet (GrIS) is impacting the coastal ocean, and its effects on fjord ecology remain understudied. It has been suggested that as glaciers retreat, primary production regimes may be altered, rendering fjords less productive. Here we present data from the paper Holding et al. (2019). Seasonal and spatial patterns of primary production in a high-latitude fjord affected by Greenland Ice Sheet run-off. Biogeosciences, 16(19), 3777-3792, /doi.org/10.5194/bg-16-3777-2019. This paper investigates patterns of primary productivity in a northeast Greenland fjord (Young Sound, 74°N), which receives run-off from the GrIS via land-terminating glaciers. This dataset includes measures of size fractioned primary production and chlorophyll a biomass, as well as CTD data and biochemical parameters. Furthermore, primary production was measured using photosynthesis v. irradiance (PI) curves, thus PI curve parameters are also available. The data were taken during the ice-free season along a spatial gradient of meltwater influence.   We thank Egon Frandsen, Kunuk Lennert, and Ivali Lennert for excellent assistance during fieldwork. This research has beensupported by the Danish Environmental Protection Agency’s programme for Arctic research (DANCEA) (grant no. MST-112-0023), The Carlsberg Foundation (grant no. 2013_01_0532), the Norwegian Research Council (Mi- croPolar) (grant no. RCN 225956), and the European Commission, H2020 Research Infrastructures (GrIS-Melt (grant no. 752325) and INTAROS (grant no. 727890)).

opencc-by-4.0May 2024View details →

Infaunal mollusca in 4 fjord along a long latitudinal gradient

5 files are included in the object: <ol> <li>Abundance data of the infaunal communities collected from two depth zones in four fjords along a long latitudinal gradient</li> <li>Biomass data of the infaunal communities collected from two depth zones in four fjords along a long latitudinal gradient</li> <li>Biological trait data for the collected taxa. Modalities for three biological traits are included (feeding mode, maximum size, life span)</li> <li>Habitat clasification for the studied locations</li> <li>R code for conducting RLQ analyses using the provided data</li> </ol>

opencc-by-4.0Dec 2023View details →

A Dataset for Investigating Socio-ecological Changes in Arctic Fjords v2

The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findable, Accessible, Interoperable, and Reusable) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. After receiving feedback on this process and the dataset itself, a second version (v2.0) has been created.

opencc-by-4.0Oct 2021View details →

CTD Profiles from the HDMS Lauge Koch cruise to East Greenland fjords, August 2018

Greenland fjords are currently undergoing large ecosystem changes due to unprecedented melting of the Greenland Ice Sheet (GrIS). The rapidly increasing discharge of meltwater and ice not only influences circulation patterns and stratification of the water column, but it also introduces large fluxes of allochthonous carbon and nutrients into the Greenland coastal environment, as well as transports large quantities of inorganic particles and suspended sediments which could limit light availability to primary producers. However, data is still limited for most Greenland fjord systems and the east coast of Greenland is especially understudied. During this cruise we investigated 3 different fjord systems of East Greenland in August 2018 aboard the HDMS Lauge Koch. We aimed to describe the physical, chemical and biological variability from glaciers to the shelf. This data set consists of 84 CTD profiles that were obtained with a Seabird SBE25 conductivity, temperature, depth (CTD) instrument. In addition to measuring pressure, conductivity, and temperature, the CTD recorded chlorophyll-a fluorescence, photosynthetically available radiation (PAR), dissolved oxygen, turbidity and pH. The instrument was factory calibrated before the cruise. The CTD recorded variables at 16 Hz and the raw data were processed using Seabird standard workflow to produce 0.1 m binned profiles using the downcast data only. This dataset compiles all CTD variables measured from all profiles into a single comma separated CSV file.  We would like to thank the captain and crew of HDMS Lauge Koch for excellent collaboration. The cruise was funded by the Danish Center for Marine Research and by the EU Horizon2020 funded project INTAROS (grant no. 727890) and the Danish Cooperation for Environment in the Arctic.

opencc-by-4.0Mar 2023View details →

Output files of the 2DV-model for the 79NG fjord

This archive contains the output files of the 2D-vertical GETM runs presented by Reinert et al. (2023). The NetCDF files contain the steady state of the simulation, except for the file “default_initial_state.nc”. See the README file for further details. Reference: Reinert, M., Lorenz, M., Klingbeil, K., Büchmann, B., & Burchard, H. (2023). High-Resolution Simulations of the Plume Dynamics in an Idealized 79°N Glacier Cavity Using Adaptive Vertical Coordinates. Journal of Advances in Modeling Earth Systems, 15(10), e2023MS003721. <a title="Link to the paper describing this dataset" href="https://doi.org/10.1029/2023MS003721" target="_blank" rel="noopener">DOI: 10.1029/2023MS003721</a>

opencc-by-4.0Jan 2020View details →

Major and trace bulk sample and micro-XRF geochemistry, carbon and oxygen stable isotope compositions of magmatic and sedimentary rocks from Hovedøya Island, Oslo fjord, Norway.

This data set reports on the methodologies and results of geochemical analysis carried out on samples of magmatic rock, calcite and sedimentary rocks of Hovedoya Island, Oslo fjord, Norway, in the framework of the publication by Poppe et al. (2020; Geochemistry, Geophysics, Geosystems; <a href="https://doi.org/10.1029/2019GC008685">https://doi.org/10.1029/2019GC008685</a>). The major and trace element bulk sample geochemical analysis was carried at the Laboratoire G-Time, Université Libre de Bruxelles, Brussels (V. Debaille), the micro-XRF mapping and line scanning, was carried out at the laboratory of the Analytical and Environmental Geo-Chemistry (AMGC) group at the Vrije Universiteit Brussel (VUB), Brussels (N.J. de Winter, S. Poppe) and the stable isotope composition analysis was carried out as well at the AMGC laboratory (S. Poppe, S. Goderis), supervised by P. Claeys and M. Kervyn, in collaboration with P. Boulvias.  Data sheets are provided in .csv or .xlsx format and compressed folders containing .TIF images of µXRF elemental maps are attached. This data set also contains the complete data sets obtained for the construction of calibration curves for µXRF line scan analysis of rock samples of magmatic composition at the AMGC laboratory at VUB.

Fig. 7 in New sponge species from Seno Magdalena, Puyuhuapi Fjord and Jacaf Canal (Chile)

Fig. 7. Biemna aurantiaca Bertolino, Costa & Pansini sp. nov., holotype (CILE 20; MSGN 61497). A–B. The holotype in life. C. Plumoreticulate skeleton.

Fig. 5 in New sponge species from Seno Magdalena, Puyuhuapi Fjord and Jacaf Canal (Chile)

Fig. 5. Axinella coronata Bertolino, Costa & Pansini sp. nov., holotype (CILE 22; MSGN 61494). A–B. The holotype in life. C. Plumose multispicular skeleton. D. Cross section of the skeleton. E. Ectosome. F. Magnification of a single tylostyle, surrounded by a crown of thin styles.

Fig. 9 in New sponge species from Seno Magdalena, Puyuhuapi Fjord and Jacaf Canal (Chile)

Fig. 9. Biemna erecta Bertolino, Costa & Pansini sp. nov., holotype (CILE 74; MSGN 61496). A–B. The holotype in life. C. Plumose skeleton. D–E. Choanosome. F. Basal peduncle skeleton.

opencc-by-4.0Feb 2022View details →

Data from the 8-fjords study

For details about this data, see Isacs, L., Kenter, J. O., Wetterstrand, H. &  Katzeff, C. (2022). What does value pluralism mean in practice? An empirical demonstration from a deliberative valuation. People and Nature, 00, 1–19. <a href="https://doi.org/10.1002/pan3.10324">https://doi.org/10.1002/pan3.10324</a>. The data set here consists of photos of the participating citizens' 32 individual value-maps (Files named "15" to "51"), their four group value-maps (from September 2016) and the (one) group value-map of the seven politicians (from November 2017). The seven individual value-maps of the politicians can be held upon request from the first author. Inspired by Q methodology, they were used in factor analysis (see the file ALLGROUP) as well as "manual analysis" (counts and visual comparisons of the maps). The file "Statements_ÖVERSÄTTNING till 1-29" contains the (translation) keys to the statements' numbers in the photos of the value-maps (15-42) to their numbers (1-29) used in the factor analysis (and later in the published article Isacs et al., see Table 2). Further data from the factor analysis can be held upon request from the first author. Qualitative data (transcripts of group discussions from the workshops) are thus far only accessible upon request from the first author.

opencc-by-4.0Jun 2022View details →

Ice Core Measurements - Northern Norwegian Fjord Ice - Winter 2018/2019

Dataset from the 2018-2019 field season in six northern Norwegian fjords including ice bulk salinity and d18O, seawater salinity and d18O, and river water d18O. The fjords included are Beisfjord (Nordland), Lavangen (Nordland), Nordkjosbotn (Tromsø), Storfjord (Tromsø), Storfjord (Tromsø), Ramfjord (Tromsø), and Kattfjord (Tromsø).

opencc-by-4.0Jun 2024View details →

Wind and Wave Measurements in the Oslo Fjord

Measurements of surface waves were conducted with the aim of measuring waves in the capillary-gravity regime as part of a master's thesis. An in-house built sensor equipped with an IMU, which measures acceleration and angular velocity in the unit's frame of reference, was used for a period of 26 hours. The sensor has a length of 2.5 cm and a width of 2 cm. The setup included the preprogrammed logger, SparkFun OpenLog Artemis, to record the sensor data.  Wind measurements were also made during the same period using a commercial 3-cup anemometer, although wind direction was not recorded. The equipment was mounted on a jetty at Lindøya, in the inner Oslo Fjord.

opencc-by-4.0Dec 2017View details →

Figure 3 in Harbor seal use of glacier ice and terrestrial haul-outs in the Kenai Fjords, Alaska

Figure 3. Population trends of harbor seals on the southeastern Kenai Peninsula during pupping (Panel A) and the molt (Panel B) based on aerial surveys conducted from 2004 to 2013.