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html 82c5970 robwschlegel 2021-04-13 Troubleshooting GitHub pages
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Rmd 18c0f2e robwschlegel 2021-04-13 Update to meta-databse
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Rmd 54ed685 robwschlegel 2021-04-01 Added a couple more meta-data sources.
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Rmd a6fe134 robwschlegel 2021-03-26 Re-built site.
Rmd 65d120e robwschlegel 2021-03-24 Some notes
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Rmd f118376 robwschlegel 2021-03-19 Quick touch-ups
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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.
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html dc5dbf5 robwschlegel 2021-03-04 Formatted all of the tables
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html 4a20757 robwschlegel 2021-03-04 Added FACE-IT logo to top of each page
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Rmd f1c0ac2 robwschlegel 2021-03-02 More spacing
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Rmd 37be6e6 robwschlegel 2021-03-02 Re-built site.
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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 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 for 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 table may be searched for key words, and clicking at the top of each column will order the rows in ascending/descending order. Individual tables are given for each site for convenience.

This website was created for D1.2 for the Horizon2020 project FACE-IT. The datasets identified within this document will be used for the completion of a review article on past and future changes of key drivers in and around the FACE-IT study sites (D1.3).

Column definitions

The interactive tables found below all contain these columns:

  • Type: The method of data collection

Data availability

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. These are almost exclusively large gridded data sets or large combined sets of CTD data.


Svalbard

While not a study site itself, there are a lot of studies and data products 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 primary drivers of change for each site are still listed in their own tables below.


Kongsfjorden


Isfjorden


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.


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.

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


Disko Bay


Nuup Kangerlua


Norway

Porsangerfjorden


References


R version 4.1.3 (2022-03-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_CA.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=en_CA.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=en_CA.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
 [1] kableExtra_1.3.4 DT_0.22          tidync_0.2.4     forcats_0.5.1   
 [5] stringr_1.4.0    dplyr_1.0.8      purrr_0.3.4      readr_2.1.2     
 [9] tidyr_1.2.0      tibble_3.1.6     ggplot2_3.3.5    tidyverse_1.3.1 
[13] workflowr_1.7.0 

loaded via a namespace (and not attached):
 [1] httr_1.4.2        sass_0.4.1        jsonlite_1.8.0    viridisLite_0.4.0
 [5] modelr_0.1.8      bslib_0.3.1       assertthat_0.2.1  getPass_0.2-2    
 [9] cellranger_1.1.0  yaml_2.3.5        pillar_1.7.0      backports_1.4.1  
[13] glue_1.6.2        digest_0.6.29     promises_1.2.0.1  rvest_1.0.2      
[17] colorspace_2.0-3  htmltools_0.5.2   httpuv_1.6.5      pkgconfig_2.0.3  
[21] broom_0.7.12      haven_2.4.3       webshot_0.5.2     scales_1.1.1     
[25] processx_3.5.3    svglite_2.1.0     whisker_0.4       later_1.3.0      
[29] tzdb_0.3.0        git2r_0.30.1      generics_0.1.2    ellipsis_0.3.2   
[33] withr_2.5.0       cli_3.2.0         magrittr_2.0.3    crayon_1.5.1     
[37] readxl_1.4.0      evaluate_0.15     ps_1.6.0          fs_1.5.2         
[41] ncdf4_1.19        fansi_1.0.3       xml2_1.3.3        tools_4.1.3      
[45] hms_1.1.1         lifecycle_1.0.1   munsell_0.5.0     reprex_2.0.1     
[49] callr_3.7.0       compiler_4.1.3    jquerylib_0.1.4   RNetCDF_2.5-2    
[53] systemfonts_1.0.4 rlang_1.0.2       grid_4.1.3        rstudioapi_0.13  
[57] htmlwidgets_1.5.4 crosstalk_1.2.0   rmarkdown_2.13    gtable_0.3.0     
[61] DBI_1.1.2         R6_2.5.1          ncmeta_0.3.0      lubridate_1.8.0  
[65] knitr_1.38        fastmap_1.1.0     utf8_1.2.2        rprojroot_2.0.3  
[69] stringi_1.7.6     Rcpp_1.0.8.3      vctrs_0.4.0       dbplyr_2.1.1     
[73] tidyselect_1.1.2  xfun_0.30