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[Stable] This function obtains the information about of an eLTER dataset (e.g. https://deims.org/activity/8786fc6d-5d70-495c-b901-42f480182845) provided in DEIMS-SDR catalogue.

Usage

get_dataset_info(datasetid, show_map = FALSE)

Arguments

datasetid

A character. It is the DEIMS ID of dataset make from DEIMS-SDR website. DEIMS ID information here. The DEIMS ID of dataset is the URL for the dataset page.

show_map

A boolean. If TRUE a Leaflet map with occurrences is shown. Default FALSE.

Value

The output of the function is a tibble with main features of the site and the related resources collected by site.

The function output

Map of "LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015" dataset

References

Wickham H, François R, Henry L, Müller K (2022). dplyr: A Grammar of Data Manipulation. R package version 1.0.9, https://CRAN.R-project.org/package=dplyr.

R Core Team (2021). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Pebesma E (2018). “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal, 10(1), 439--446. doi:10.32614/RJ-2018-009 .

Cheng J, Karambelkar B, Xie Y (2022). leaflet: Create Interactive Web Maps with the JavaScript 'Leaflet' Library. R package version 2.1.1, https://CRAN.R-project.org/package=leaflet.

Author

Alessandro Oggioni, phD (2020) oggioni.a@irea.cnr.it

Examples

tDataset <- get_dataset_info(
  datasetid =
  "https://deims.org/dataset/38d604ef-decb-4d67-8ac3-cc843d10d3ef",
  show_map = TRUE
)
tDataset
#> Simple feature collection with 1 feature and 33 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 11.88721 ymin: 43.20518 xmax: 15.86426 ymax: 45.91294
#> Geodetic CRS:  WGS 84
#> # A tibble: 1 × 34
#>   title      abstr…¹ keywo…² uri   type  dateR…³ dateR…⁴ relat…⁵ conta…⁶ conta…⁷
#> * <chr>      <chr>   <list>  <chr> <chr> <chr>   <lgl>   <list>  <list>  <list> 
#> 1 LTER Nort… The pr… <df>    http… data… 1965-0… NA      <df>    <df>    <df>   
#> # … with 24 more variables: contacts.metadataProvider <lgl>,
#> #   observationParameters <list>, observationSpecies <list>, dataPolicy <list>,
#> #   doi <chr>, onlineLocation <list>, legal.accessUse <list>,
#> #   legal.rights <lgl>, legal.legalAct <lgl>, legal.citation <lgl>,
#> #   method.instrumentation <lgl>, method.qualityAssurance <lgl>,
#> #   method.methodUrl <list>, method.methodDescription <list>,
#> #   method.samplingTimeUnit.label <chr>, method.samplingTimeUnit.uri <lgl>, …