This dataset contains cleaned and enriched occurrence records for glowworms (*Arachnocampa tasmaniensis*) in Australia from 2014 to 2024. It includes spatial, temporal, taxonomic, and weather station metadata.
Format
A tibble with 124 rows and 14 variables:
- obs_lat
Latitude of the observation (decimal degrees)
- obs_lon
Longitude of the observation (decimal degrees)
- date
Observation date (YYYY-MM-DD)
- time
Observation time (HH:MM:SS, character)
- year
Observation year
- month
Month of the observation
- day
Day of the month
- hour
Hour of the day (0–23)
- weekday
Day of the week (ordered factor)
- dayofyear
Day of the year (1–366)
- sci_name
Scientific name of the observed species
- record_type
Type of observation (e.g., HUMAN_OBSERVATION)
- obs_state
Australian state where the observation occurred
- ws_id
ID of the nearest weather station (e.g., "949610-99999")
Details
Data was sourced via the `galah` package from the Atlas of Living Australia, filtered and cleaned, then enriched by linking each record to the nearest weather station using geospatial methods.
Examples
data(glowworms)
head(glowworms)
#> # 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 -43.5 147. 2021-12-14 22:14:23 2021 12 14 22 Tuesday 348
#> 2 -43.5 147. 2015-12-09 15:00:24 2015 12 9 15 Wednesd… 343
#> 3 -43.5 147. 2017-04-17 13:31:00 2017 4 17 13 Monday 107
#> 4 -43.5 147. 2023-12-21 14:18:00 2023 12 21 14 Thursday 355
#> 5 -43.5 147. 2022-12-26 18:42:12 2022 12 26 18 Monday 360
#> 6 -42.8 147. 2024-12-05 11:36:00 2024 12 5 11 Thursday 340
#> # ℹ 4 more variables: sci_name <chr>, record_type <chr>, obs_state <chr>,
#> # ws_id <chr>