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This dataset contains over 300,000 occurrence records of orchid species (*Orchidaceae*) in Australia from 2014 to 2024. The data includes spatial, temporal, and taxonomic details, as well as associated weather station metadata for ecological analysis.

Usage

orchids

Format

A tibble with 302,123 rows and 14 variables:

obs_lat

Latitude of the observation (decimal degrees)

obs_lon

Longitude of the observation (decimal degrees)

date

Date of the observation (YYYY-MM-DD)

time

Time of the observation (HH:MM:SS)

year

Year of the observation

month

Month (1–12)

day

Day of the month

hour

Hour extracted from the time (0–23)

weekday

Day of the week (as ordered factor)

dayofyear

Day of the year (1–366)

sci_name

Scientific name of the observed orchid species

record_type

Type of observation (e.g., HUMAN_OBSERVATION, PRESERVED_SPECIMEN)

obs_state

Australian state where the observation occurred (may be missing)

ws_id

Nearest weather station ID linked to the observation

Source

Atlas of Living Australia via galah

Details

The data was collected using the galah package from the Atlas of Living Australia, cleaned, and linked to nearby weather stations for ecological and climatic studies. The records span multiple orchid genera and include a range of observation types.

Examples

data(orchids)
head(orchids)
#> # A tibble: 6 × 14
#>   obs_lat obs_lon date       time      year month   day  hour weekday  dayofyear
#>     <dbl>   <dbl> <date>     <chr>    <dbl> <dbl> <dbl> <int> <ord>        <dbl>
#> 1   -35.2    118. 2017-09-11 18:08:00  2017     9    11    18 Monday         254
#> 2   -35.2    118  2019-08-02 12:38:00  2019     8     2    12 Friday         214
#> 3   -35.2    117. 2016-10-06 17:32:00  2016    10     6    17 Thursday       280
#> 4   -35.2    118. 2017-09-07 09:30:00  2017     9     7     9 Thursday       250
#> 5   -35.2    118. 2022-08-06 09:21:09  2022     8     6     9 Saturday       218
#> 6   -35.2    118. 2024-09-18 10:36:00  2024     9    18    10 Wednesd…       262
#> # ℹ 4 more variables: sci_name <chr>, record_type <chr>, obs_state <chr>,
#> #   ws_id <chr>