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Rmd e56cb6e Eccalin 2023-04-17 first publishing metadatabase
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Rmd 6845d4c Robert 2022-04-29 Some notes
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Rmd de1e50d Robert 2022-04-29 Updated figures in meta-database for better web viewing
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Rmd 53a71d2 Robert 2022-02-03 Typo fix
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Rmd 79471e9 Robert 2022-01-25 Added SOCAT+GLODAP to Svalbard product and uploaded Storfjorden CTD data
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Rmd e8e7420 Robert 2021-12-03 SST analysis figures
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Rmd 6e445e5 robwschlegel 2021-12-01 Re-built site.
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Rmd 4539893 Robert 2021-10-06 Re-built site.
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Rmd ca9dc4e Robert 2021-09-10 Added some info to the PG entries
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html 059b528 Robert 2021-08-05 Finished first round of all full site products and updated meta-database accordingly
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html 1727cf7 Robert 2021-05-20 Added GEM data to meta-database
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Rmd 57a356a robwschlegel 2021-04-23 Update to meta-database intro text.
html 57a356a robwschlegel 2021-04-23 Update to meta-database intro text.
Rmd 1f276c2 robwschlegel 2021-04-23 More updates
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Rmd b7b88df robwschlegel 2021-04-21 Update to meta-database
Rmd cff7e0f robwschlegel 2021-04-19 Updates to meta-database.
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html 2fea339 robwschlegel 2021-04-15 Updates to meta-database page
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Rmd 3a43b49 robwschlegel 2021-04-13 Fix a few internal links
html 3a43b49 robwschlegel 2021-04-13 Fix a few internal links
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html 80c27b6 robwschlegel 2021-04-13 Rearranged the key drivers table
html 82c5970 robwschlegel 2021-04-13 Troubleshooting GitHub pages
html 90f6ec9 robwschlegel 2021-04-13 Build site.
Rmd 18c0f2e robwschlegel 2021-04-13 Update to meta-databse
html 7e3f348 robwschlegel 2021-04-13 Build site.
Rmd 19eac79 robwschlegel 2021-04-13 Re-built site.
html 0b7ee0f robwschlegel 2021-04-13 Build site.
Rmd 54ed685 robwschlegel 2021-04-01 Added a couple more meta-data sources.
html 7582d79 robwschlegel 2021-03-26 Build site.
html b1c8cca robwschlegel 2021-03-26 Build site.
Rmd a6fe134 robwschlegel 2021-03-26 Re-built site.
Rmd 65d120e robwschlegel 2021-03-24 Some notes
Rmd 9516908 robwschlegel 2021-03-19 Added caption for Table 1
html 9516908 robwschlegel 2021-03-19 Added caption for Table 1
Rmd f118376 robwschlegel 2021-03-19 Quick touch-ups
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html fae1dc7 robwschlegel 2021-03-18 Added the full table of drivers determined to be important for the EU Arctic
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html 0a20683 robwschlegel 2021-03-11 Updates mostly to Isfjorden section
Rmd 17454eb robwschlegel 2021-03-08 Added a couple of entries for Isfjorden
html 17454eb robwschlegel 2021-03-08 Added a couple of entries for Isfjorden
html f8fbec0 robwschlegel 2021-03-08 Build site.
Rmd d4b695c robwschlegel 2021-03-08 Re-built site.
Rmd dc5dbf5 robwschlegel 2021-03-04 Formatted all of the tables
html dc5dbf5 robwschlegel 2021-03-04 Formatted all of the tables
Rmd 4a20757 robwschlegel 2021-03-04 Added FACE-IT logo to top of each page
html 4a20757 robwschlegel 2021-03-04 Added FACE-IT logo to top of each page
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html ddbd10d robwschlegel 2021-03-04 Experimenting with popup rendering
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Rmd 49ebabd robwschlegel 2021-03-04 Testing pop-ups and hyperlinks
html 49ebabd robwschlegel 2021-03-04 Testing pop-ups and hyperlinks
Rmd c44e66f robwschlegel 2021-03-03 Added a bit of text
html c44e66f robwschlegel 2021-03-03 Added a bit of text
html 75d8f9b robwschlegel 2021-03-02 Build site.
Rmd f1c0ac2 robwschlegel 2021-03-02 More spacing
html f1c0ac2 robwschlegel 2021-03-02 More spacing
html 1765abd robwschlegel 2021-03-02 Build site.
Rmd 782169d robwschlegel 2021-03-02 More playing around with widths and margins
html 782169d robwschlegel 2021-03-02 More playing around with widths and margins
html 86624e0 robwschlegel 2021-03-02 Build site.
Rmd f853627 robwschlegel 2021-03-02 Playing with page and table margins.
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Rmd 37be6e6 robwschlegel 2021-03-02 Re-built site.
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Rmd e020300 robwschlegel 2021-03-01 Re-built site.
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Rmd f8ad72b robwschlegel 2021-03-01 Re-built site.
Rmd 665719d robwschlegel 2021-03-01 Scraping convoluted date meta-data logic chain
Rmd 21aed26 robwschlegel 2021-03-01 Playing with meta-data function
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Rmd 5d4b15e robwschlegel 2021-03-01 Re-built site.
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Rmd 7ff8d63 robwschlegel 2021-03-01 More work on metadatabase
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Rmd c38a8d3 robwschlegel 2021-02-19 More minor changes
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Rmd 93d152e robwschlegel 2021-02-19 Adjusting file pathways
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Rmd f9244d5 Robert 2021-02-17 Re-built site.
Rmd bd0919b robwschlegel 2021-02-16 The metadatabase Rmd file

Overview

The interactive tables found below contain the meta-database of the datasets identified to contain the key drivers of change in fjord and adjacent coastal socio-ecological systems of the seven FACE-IT study sites (D1.1). These tables may be searched for key words. One may also click at the top of each column to order the rows in ascending/descending order. Datasets that are restricted to a single FACE-IT study site (e.g. mooring data from Kongsfjorden) are listed in the corresponding meta-datatable below and one may jump to these tables quickly using the table of contents (TOC) on the left. Datasets that encompass the entire European Arctic are listed in their own meta-datatable rather than being listed repeatedly in the tables for individual sites. The same applies for Svalbard. Nearly all of the datasets listed here were collected through some means of in situ sampling however, for some important drivers (e.g. sea ice cover) gridded data from remotely sampled or modelled datasets were sourced and are listed in the meta-datatables for each site.

This website was created for D1.2 for the Horizon2020 project FACE-IT. The datasets identified within this document were used for the completion of a review article and data paper on past and future changes of key drivers in and around the FACE-IT study sites (D1.3). The data for these publications were amalgamated and published on PANGAEA. To aid in the exploration of these data a user interface was constructed.

Column definitions

The interactive tables found below contain the following columns:

  • Type: The method of data collection/creation (e.g. CTD casts or modelled data)
    • Datasets marked as ‘PANGAEA’ are the combined output of a data query to that database
    • Datasets marked as ‘FACE-IT’ are a combination of all data from all collected sources
      • This includes datasets from the EU Arctic and Svalbard meta-datatables (when applicable) as well as the PANGAEA data
  • Driver: The list of drivers found within the dataset
  • Date: The years over which the data were collected
  • Source: A clickable link to the website were the data file may be downloaded
  • Citation: A clickable pop-up window that provides the citation for the dataset
  • Notes: Any additional comments may be found here

Data access

Many of the datasets listed below are available from multiple established data sources. Large gridded data sets for most physical drivers at the Arctic scale can be accessed via: Copernicus, EMODnet, and NOAA. Site specific datasets can be accessed via: NPDC, NSF, openpolar, PANGAEA, and SIOS. Data for drivers pertaining more to policy may be found at: INTAROS and SAON. The data portals for national statistics and other social drivers are: Grønlands statistik, kystverket, SSB, and statistikknett.

European Arctic

This section contains meta-data for pan-Arctic data files. All data within these files that overlap with one or more of the FACE-IT study sites may also be found in the aggregated datasets for the corresponding site(s).

Figure 1: FACE-IT study sites throughout the EU Arctic. The light green bounding box (appears here as a triangle due to polar projection) shows the spatial range within which data were considered for collection.


Note that there are many sources of fisheries data in the Barents Sea (e.g. via IMR and MOSJ) that are not listed here as they do not contain data within any of the seven fjords focussed on by FACE-IT.


Svalbard

While not a study site itself, there are a lot of studies and datasets that focus on Svalbard broadly, rather than individual study sites within this region. Therefore this geographical region has it’s own meta-data table. The data within these Svalbard datasets that overlap with any of the individual study sites have been extracted and added to those amalgamated datasets.

Figure 2: Map of Svalbard showing the location of the three FACE-IT study sites located on the archipelago. The light green bounding box shows the range within which trans-Svalbard data were collected.



Kongsfjorden

Figure 3: The bathymetry around Kongsfjorden. The green bounding box shows the area within which data were sourced.



Isfjorden

Figure 4: The bathymetry around Isfjorden. The green bounding box shows the area within which data were sourced.



Storfjorden

Data for Inglefieldbukta on the data portals identified in D1.1 are incredibly scarce. There are however several time series for the larger Storfjorden complex and so after the 2021 annual meeting it was decided to expand the Inglefieldbukta site to Storfjorden.

Figure 5: The bathymetry around Storfjorden. The green bounding box shows the area within which data were sourced.



Greenland

See the EU Arctic figure above for where the Greenland sites are located. They are too spread out to be shown here in a single figure with any better precision than the full study area.

There is a wealth of national statistics data available for Greenland via their national statistics website.

Please note that all GEM files must be downloaded directly from the URLs provided. Under the agreement between FACE-IT and GEM they are not to be hosted on the FACE-IT pCloud folder. This is primarily so that GEM can track the individual downloads of their files and for what purpose they were downloaded. This also requires that users of the data read a user agreement file.

Young Sound

Figure 6: The bathymetry around Young Sound (Zackenberg). The green bounding box shows the area within which data were sourced.



Disko Bay

Figure 7: The bathymetry around Disko Bay. The green bounding box shows the area within which data were sourced.



Nuup Kangerlua

Figure 8: The bathymetry around Nuup Kangerlua (Nuuk). The green bounding box shows the area within which data were sourced.



Norway

The national statistics website for Norway is very complete, and may provide the interested researcher with a wealth of information. But note that the focus of the statistics is mostly on ‘city living’, and the relevant environmental statistics are a bit buried.

Porsangerfjorden

Figure 9: The bathymetry around Porsangerfjorden. The green bounding box shows the area within which data were sourced. 




R version 4.2.3 (2023-03-15 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)

Matrix products: default

locale:
[1] LC_COLLATE=French_France.utf8  LC_CTYPE=French_France.utf8   
[3] LC_MONETARY=French_France.utf8 LC_NUMERIC=C                  
[5] LC_TIME=French_France.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] kableExtra_1.3.4 DT_0.27          tidync_0.3.0     lubridate_1.9.2 
 [5] forcats_1.0.0    stringr_1.5.0    dplyr_1.1.1      purrr_1.0.1     
 [9] readr_2.1.4      tidyr_1.3.0      tibble_3.2.1     ggplot2_3.4.2   
[13] tidyverse_2.0.0  workflowr_1.7.0 

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.10       svglite_2.1.1     getPass_0.2-2     ps_1.7.4         
 [5] rprojroot_2.0.3   digest_0.6.31     utf8_1.2.3        R6_2.5.1         
 [9] evaluate_0.20     httr_1.4.5        pillar_1.9.0      rlang_1.1.0      
[13] ncmeta_0.3.5      rstudioapi_0.14   whisker_0.4.1     callr_3.7.3      
[17] jquerylib_0.1.4   rmarkdown_2.21    webshot_0.5.4     htmlwidgets_1.6.2
[21] munsell_0.5.0     compiler_4.2.3    httpuv_1.6.9      xfun_0.38        
[25] pkgconfig_2.0.3   systemfonts_1.0.4 htmltools_0.5.5   tidyselect_1.2.0 
[29] viridisLite_0.4.1 fansi_1.0.4       tzdb_0.3.0        withr_2.5.0      
[33] later_1.3.0       grid_4.2.3        jsonlite_1.8.4    gtable_0.3.3     
[37] lifecycle_1.0.3   git2r_0.32.0      magrittr_2.0.3    scales_1.2.1     
[41] ncdf4_1.21        cli_3.6.1         stringi_1.7.12    cachem_1.0.7     
[45] fs_1.6.1          promises_1.2.0.1  xml2_1.3.3        bslib_0.4.2      
[49] ellipsis_0.3.2    generics_0.1.3    vctrs_0.6.1       tools_4.2.3      
[53] glue_1.6.2        RNetCDF_2.6-2     crosstalk_1.2.0   hms_1.1.3        
[57] processx_3.8.0    fastmap_1.1.1     yaml_2.3.7        timechange_0.2.0 
[61] colorspace_2.1-0  rvest_1.0.3       knitr_1.42        sass_0.4.5