The ecoteach package provides a collection of curated
educational datasets for teaching ecology and agriculture concepts. Each
dataset is derived from published scientific research and includes
comprehensive documentation to facilitate its use in teaching
environments.
The package includes the following datasets:
badger_energy: Energy expenditure data for European
badgers with tuberculosisbarnswallow_brightness: Plumage brightness data for
barn swallowsberberis_treatment: Data on invasive Berberis
management treatmentscarrion_arrivals: Vertebrate scavenger visits to roe
deer carrionchimpanzee_cameras: Camera trap detection data for wild
chimpanzeesdormouse_hibernation: Hibernation and reproduction data
for edible dormiceDsimulans_matechoice: Mate copying data for fruit
flieselephant_farmers: Agricultural use metrics for
elephantslion_reproduction: Reproductive data for Galapagos sea
lionsmagellanic_penguins: Long-term monitoring data on
Magellanic penguinspangolin_habitat: Habitat occupancy data for Chinese
pangolinsraccoondog_environment: Raccoon dog activity and
environmental factors in Chinascavenger_community: Scavenger community structure
along environmental gradientsvulture_diet: Diet composition analysis of African
vultureswhale_brains: Brain size evolution data for
cetaceansTo use any of the datasets in the package, load them with the
data() function:
# Example with dormouse hibernation dataset
data(dormouse_hibernation)
head(dormouse_hibernation)
#>   animal_id year_birth age log_age body_mass_before body_mass_after
#> 1         1       2002   2  0.3010              261             167
#> 2         1       2002   4  0.6021              265             227
#> 3         1       2002   5  0.6990              315             182
#> 4         1       2002   6  0.7782              318             173
#> 5         1       2002   7  0.8451              264             189
#> 6         1       2002   8  0.9031              190             135
#>   hibernation_duration hibernation_start hibernation_end
#> 1                  237          20.08.04        14.04.05
#> 2                  335          23.05.06        23.04.07
#> 3                  264          26.07.07        15.04.08
#> 4                  357          07.05.08        29.04.09
#> 5                  335          27.05.09        27.04.10
#> 6                  181          21.09.10        21.03.11
#>   hibernation_end_year_before body_mass_spring year  sex     diet age_death
#> 1                        <NA>               NA 2004 male   medium        11
#> 2                    10.05.06              215 2006 male   medium        11
#> 3                    23.04.07              227 2007 male high fat        11
#> 4                    15.04.08              182 2008 male   medium        11
#> 5                    29.04.09              173 2009 male  protein        11
#> 6                    27.04.10              189 2010 male high fat        11
#>   repro_active
#> 1          yes
#> 2           no
#> 3          yes
#> 4           no
#> 5           no
#> 6          yes
# Example with vulture diet dataset
data(vulture_diet)
head(vulture_diet)
#>     d13C  d15N d34S species  tissue
#> 1  -9.76 12.41 6.31     AWB feather
#> 2  -8.89 12.00 9.72     AWB feather
#> 3  -9.09 11.82 8.47     AWB feather
#> 4 -10.44 12.72 8.18     AWB feather
#> 5 -10.73 11.84 9.73     AWB feather
#> 6 -12.58 13.22 9.41     AWB featherFor more detailed information about each dataset, refer to the dataset documentation: