Example OTMs data
otms_data.RdA data set of 36 OTMs deployed in the field recording for 3 days at a rate of
1 observation every 2 minutes. This data set was obtained using the rnp_otms_data
function and incorporates some metadata for each OTM. Each row corresponds to
a unique operative temperature measurement recorded by a unique OTM at a given
moment in time (i.e., unique year, doy and mod).
Format
A data.frame with 67584 rows and 10 columns
- otm_id
Character column with a unique identifier for each OTM
- year
A numeric column indicating year
- doy
A numeric column indicating day of the year
- mod
A numeric column indicating minute of the day
- op_temp
A numeric column indicating operative temperature
- microhabitat
Character column describing the microhabitat where the OTM was deployed, between
"outrcrop","small_rock","rock","boulder","ground", and"bush"- orientation
Character column describing the orientation at which the OTM was deployed, between
"N","NE","E","SE","S","SW","W","NW"and"Flat"
Examples
tibble::as_tibble(otms_data)
#> # A tibble: 67,584 × 12
#> otm_id year doy mod op_temp microhabitat orientation latitude longitude
#> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <chr> <dbl> <dbl>
#> 1 OTM01 2023 236 367 13.5 outcrop N 39.9 -120.
#> 2 OTM01 2023 236 369 13.5 outcrop N 39.9 -120.
#> 3 OTM01 2023 236 371 13.5 outcrop N 39.9 -120.
#> 4 OTM01 2023 236 373 13.5 outcrop N 39.9 -120.
#> 5 OTM01 2023 236 375 13.5 outcrop N 39.9 -120.
#> 6 OTM01 2023 236 377 13.5 outcrop N 39.9 -120.
#> 7 OTM01 2023 236 379 13.5 outcrop N 39.9 -120.
#> 8 OTM01 2023 236 381 13.5 outcrop N 39.9 -120.
#> 9 OTM01 2023 236 383 13.5 outcrop N 39.9 -120.
#> 10 OTM01 2023 236 385 13.5 outcrop N 39.9 -120.
#> # ℹ 67,574 more rows
#> # ℹ 3 more variables: elevation <dbl>, x <dbl>, y <dbl>