# Look up information

#### Martin Westgate & Dax Kellie

#### 2024-11-19

galah supports two functions to look up information: `show_all()` and `search_all()`. The first argument to both functions is a type of information that you wish to look up; for example to see what fields are available to filter a query by, use:

    show_all(fields)

    ## # A tibble: 695 × 3
    ##    id                  description               type
    ##    <chr>               <chr>                     <chr>
    ##  1 _nest_parent_       <NA>                      fields
    ##  2 _nest_path_         <NA>                      fields
    ##  3 _root_              <NA>                      fields
    ##  4 abcdTypeStatus      <NA>                      fields
    ##  5 acceptedNameUsage   Accepted name             fields
    ##  6 acceptedNameUsageID Accepted name             fields
    ##  7 accessRights        Access rights             fields
    ##  8 annotationsDoi      <NA>                      fields
    ##  9 annotationsUid      Referenced by publication fields
    ## 10 assertionUserId     Assertions by user        fields
    ## # ℹ 685 more rows

And to search for a specific field:

    search_all(fields, "australian states")

    ## # A tibble: 2 × 3
    ##   id     description                            type
    ##   <chr>  <chr>                                  <chr>
    ## 1 cl2013 ASGS Australian States and Territories fields
    ## 2 cl22   Australian States and Territories      fields

Here is a list of information types that can be used with `show_all()` and `search_all()`:

Information type | Description | Sub-functions
--- | --- | ---
Configuration
atlases | Show what living atlases are available | show_all_atlases(), search_atlases()
apis | Show what APIs & functions are available for each atlas | show_all_apis(), search_apis()
reasons | Show what values are acceptable as ‘download reasons’ for a specified atlas | show_all_reasons(), search_reasons()
Taxonomy
taxa | Search for one or more taxonomic names | search_taxa()
identifiers | Take a universal identifier and return taxonomic information | search_identifiers()
ranks | Show valid taxonomic ranks (e.g. Kingdom, Class, Order, etc.) | show_all_ranks(), search_ranks())
Filters
fields | Show fields that are stored in an atlas | show_all_fields(), search_fields()
assertions | Show results of data quality checks run by each atlas | show_all_assertions(), search_assertions()
Group filters
profiles | Show what data quality profiles are available | show_all_profiles(), search_profiles()
lists | Show what species lists are available | show_lists(), search_lists()
Data providers
providers | Show which institutions have provided data | show_all_providers(), search_providers()
collections | Show the specific collections within those institutions | show_all_collections(), search_collections()
datasets | Shows all the data groupings within those collections | show_all_datasets(), search_datasets()

# `show_all_` subfunctions

While `show_all` is useful for a variety of cases, you can still call the underlying subfunctions if you prefer. Functions with the prefix `show_all_` do exactly that; they show all the possible values of the category specified.

    show_all_atlases()

    ## # A tibble: 10 × 4
    ##    region         institution                                                             acronym url
    ##    <chr>          <chr>                                                                   <chr>   <chr>
    ##  1 Australia      Atlas of Living Australia                                               ALA     https://www.ala.org.au
    ##  2 Austria        Biodiversitäts-Atlas Österreich                                         BAO     https://biodiversityat…
    ##  3 Brazil         Sistemas de Informações sobre a Biodiversidade Brasileira               SiBBr   https://sibbr.gov.br
    ##  4 France         Portail français d'accès aux données d'observation sur les espèces      OpenObs https://openobs.mnhn.fr
    ##  5 Global         Global Biodiversity Information Facility                                GBIF    https://gbif.org
    ##  6 Guatemala      Sistema Nacional de Información sobre Diversidad Biológica de Guatemala SNIBgt  https://snib.conap.gob…
    ##  7 Portugal       GBIF Portugal                                                           GBIF.pt https://www.gbif.pt
    ##  8 Spain          GBIF Spain                                                              GBIF.es https://gbif.es
    ##  9 Sweden         Swedish Biodiversity Data Infrastructure                                SBDI    https://biodiversityda…
    ## 10 United Kingdom National Biodiversity Network                                           NBN     https://nbn.org.uk

    show_all_reasons()

    ## # A tibble: 13 × 2
    ##       id name
    ##    <int> <chr>
    ##  1     1 biosecurity management/planning
    ##  2    11 citizen science
    ##  3     5 collection management
    ##  4     0 conservation management/planning
    ##  5     7 ecological research
    ##  6     3 education
    ##  7     2 environmental assessment
    ##  8    12 restoration/remediation
    ##  9     4 scientific research
    ## 10     8 systematic research/taxonomy
    ## 11    13 species modelling
    ## 12     6 other
    ## 13    10 testing

# `search_` subfunctions

You can also call subfunctions that use the `search_` prefix to lookup information. `search_` subfunctions differ from `show_all_` in that they require a query to work, and they useful to search for detailed information that can’t be summarised across the whole atlas.

`search_taxa()` is an especially useful function in galah. It let’s you search for a single taxon or multiple taxa by name.

    search_taxa("reptilia")

    ## # A tibble: 1 × 9
    ##   search_term scientific_name taxon_concept_id                               rank  match_type kingdom phylum class issues
    ##   <chr>       <chr>           <chr>                                          <chr> <chr>      <chr>   <chr>  <chr> <chr>
    ## 1 reptilia    REPTILIA        https://biodiversity.org.au/afd/taxa/682e1228… class exactMatch Animal… Chord… Rept… noIss…

    search_taxa("reptilia", "aves", "mammalia", "pisces")

    ## # A tibble: 1 × 9
    ##   search_term scientific_name taxon_concept_id                               rank  match_type kingdom phylum class issues
    ##   <chr>       <chr>           <chr>                                          <chr> <chr>      <chr>   <chr>  <chr> <chr>
    ## 1 reptilia    REPTILIA        https://biodiversity.org.au/afd/taxa/682e1228… class exactMatch Animal… Chord… Rept… noIss…

Alternatively, `search_identifiers()` is the partner function to `search_taxa()`. If we already know a taxonomic identifier, we can search for which taxa the identifier belongs to.

    search_identifiers("urn:lsid:biodiversity.org.au:afd.taxon:682e1228-5b3c-45ff-833b-550efd40c399")

    ## # A tibble: 1 × 15
    ##   search_term     success scientific_name taxon_concept_id rank  rank_id   lft   rgt match_type kingdom kingdom_id phylum
    ##   <chr>           <lgl>   <chr>           <chr>            <chr>   <int> <int> <int> <chr>      <chr>   <chr>      <chr>
    ## 1 urn:lsid:biodi… TRUE    REPTILIA        https://biodive… class    3000 33626 36658 taxonIdMa… Animal… https://b… Chord…
    ## # ℹ 3 more variables: phylum_id <chr>, class <chr>, class_id <chr>

# `show_values()` & `search_values()`

Once a desired field is found, you can use `show_values()` to understand the information contained within that field. For example, we can show the values contained in the field `basisOfRecord`.

    search_all(fields, "basisOfRecord") |> show_values()

    ## ! Search returned 2 matched fields.
    ## • Showing values for 'basisOfRecord'.

    ## # A tibble: 9 × 1
    ##   basisOfRecord
    ##   <chr>
    ## 1 HUMAN_OBSERVATION
    ## 2 PRESERVED_SPECIMEN
    ## 3 MACHINE_OBSERVATION
    ## 4 OCCURRENCE
    ## 5 OBSERVATION
    ## 6 MATERIAL_SAMPLE
    ## 7 LIVING_SPECIMEN
    ## 8 MATERIAL_CITATION
    ## 9 FOSSIL_SPECIMEN

Use this information to pass meaningful queries to `galah_filter()`.

    galah_call() |>
      galah_filter(basisOfRecord == "LIVING_SPECIMEN") |>
      atlas_counts()

    ## # A tibble: 1 × 1
    ##    count
    ##    <int>
    ## 1 126135

This works for other types of query, such as data profiles:

    search_all(profiles, "ALA") |>
      show_values() |>
      head()

    ## • Showing values for 'ALA'.

    ## # A tibble: 6 × 5
    ##      id enabled description                                                                           filter displayOrder
    ##   <int> <lgl>   <chr>                                                                                 <chr>         <int>
    ## 1    94 TRUE    "Exclude all records where spatial validity is \"false\""                             "-spa…            1
    ## 2    96 TRUE    "Exclude all records with an assertion that the scientific name provided does not ma… "-ass…            1
    ## 3    97 TRUE    "Exclude all records with an assertion that the scientific name provided is not stru… "-ass…            2
    ## 4    98 TRUE    "Exclude all records with an assertion that the name and classification supplied can… "-ass…            3
    ## 5    99 TRUE    "Exclude all records with an assertion that kingdom provided doesn't match a known k… "-ass…            4
    ## 6   100 TRUE    "Exclude all records with an assertion that the scientific name provided in the reco… "-ass…            5