Allows users to access live UK energy market information via various APIs.

A time series of the national grid demand (high-voltage electric power transmission network) in the UK since 2011.

Access data from Land Registry Open Data
    <http://landregistry.data.gov.uk/> through 'SPARQL' queries. 'uklr'
    supports the house price index, transaction and price paid data.

Downloads data from the 'UK Police' public data API, 
    the full docs of which are available at <https://data.police.uk/docs/>. 
    Includes data on police forces and police force areas, crime reports, 
    and the use of stop-and-search powers.

Universally unique identifiers ('UUIDs') can be sub-optimal for many
  uses-cases because they are not the most character efficient way of encoding
  128 bits of randomness; v1/v2 versions are impractical in many environments,
  as they require access to a unique, stable MAC address; v3/v5 versions require
  a unique seed and produce randomly distributed IDs, which can cause fragmentation
  in many data structures; v4 provides no other information than randomness which
  can cause fragmentation in many data structures. Providing an alternative, 'ULIDs'
  (<https://github.com/ulid/spec>) have 128-bit compatibility with 'UUID', 1.21e+24
  unique 'ULIDs' per millisecond, support standard (text) sorting, canonically encoded
  as a 26 character string, as opposed to the 36 character 'UUID', use 'base32'
  encoding for better efficiency and readability (5 bits per character), are case
  insensitive, have no special characters (i.e. are 'URL' safe) and have a monotonic
  sort order (correctly detects and handles the same millisecond).

A tool to define rare biosphere. 'ulrb' solves the problem of the 
    definition of rarity by replacing human decision with an unsupervised machine 
    learning algorithm (partitioning around medoids, or k-medoids). This algorithm 
    works for any type of microbiome data, provided there is an abundance score 
    for each phylogenetic unit. For validation of this method to several kinds of 
    molecular data and environments, please see Pascoal et al, 2023 (in preparation).
    Preliminary data suggest this method also works well for non-microbiome data, 
    if there is a species abundance table.