Dataset for Pangolin studies (paper title: Sunda pangolins show inconsistent responses to disturbances across multiple scales)

Datasets:

“Manis_javanica_records_maxent_20210516” contains occurrence data of banded civets from published studies, GBIF, and new camera trapping.

“GLMM_SundaPangolin_Data_by_Survey.xlsx” contains camera trapping data from both published studies and new camera trapping. We used it for a GLMM regional-scale analysis. Each row represents a full survey with the number of individual captures across all camera traps of the survey. This dataset includes both data on common palm civets and banded civets.

“RN_SundaPangolin_Records_1km_Cells.csv” contains camera trapping data from new surveys and each row represents an individual capture. This dataset includes data on both common palm civets and banded civets.

“RN_ECL_Covariates_1km_Cells_20210322.csv” contains the data for covariates at each sampling location (usually 1 camera trap but averaged if more than 1) for the new surveys. 

We used both of these datasets for a Royle-Nichols local-scale analysis.

Data collection:

Data was collected both through a literature review and with new camera trapping surveys.

Data-specific information:

“Manis_javanica_records_maxent_20210516.csv” 

Species = Species of organism of occurrence data

Latitude = Latitude coordinate of occurrence data

Longitude = Longitude coordinate of occurrence data

“GLMM_SundaPangolin_Data_by_Survey.xlsx”

X.1 = Typo column (ignore)

X = Typo column (ignore)

TAG = Survey identification

Species = Species of organisms captured with camera traps

records = Number of individual capture in the survey

site2 = site name

year_start = Year when survey started

Landscape = Landscape where survey was located

survey_ids_included = IDs of surveys in the individual study

region = Region where camera is located

country = country where camera is located

Protected_area = is the camera in a protected area? (y/n)

effort = number of trap nights in survey

Y_lat = latitude coordinate of sampling unit

X_long = longitude coordinate of sampling unit

size_km2 = size of forest where survey is located (km2)

n_points = Typo column (ignore)

n_cameras = number of camera traps in survey

cam_spacing = Spacing between cameras (m)

indent_cap_mins = minimum number of minutes before new capture is considered independent

AnnualPrecipitation = AnnualPrecipitation at location of survey (mm)

“covariate”10K = each column describes data on a covariate measures in a 10 km radius around the center of the survey

“covariate”20K = each column describes data on a covariate measures in a 20 km radius around the center of the survey

“covariate”30K = each column describes data on a covariate measures in a 30 km radius around the center of the survey

forest_type = forest type at location of survey

year_end = year when survey ended

“RN_SundaPangolin_Records_1km_Cells.csv”

cell_survey = ID of sampling unite (Cell ID + survey ID)

Polygon1km = ID of polygon (Cell ID)

active_cams_at_date = cameras in the same cell_survey id that were active on that day

x_centroid = Average latitude coordinate of cameras in the cell

y_centroid = Average longitude coordinate of cameras in the cell

Date = date of capture

species = species captured

independent_events = Number of independent captures in the cell on the day

total_indiv_records = Number of individuals on the day

trap_nights_at_date = Trapping effort per day per cell

Sampling_begin = minimum start date of cameras included in the cell_survey

Sampling end = maximum end date of cameras included in the cell_survey

survey_id = ID of survey where the capture was detected

“RN_ECL_Covariates_1km_Cells_20210322.csv”

cell_survey = ID of sampling unit (camera trap(s))

Cell_effort = number of trap nights at sampling unit

elevation = elevation at location of the sampling unit’s location (m)

dist_to_edge = distance from sampling unit to edge (m)

human_pop_density_1km = Number of human individuals in 1km2 around sampling unit’s location

dist_to_river = distance from sampling unit to river (m)

forest_integrity = Forest Integrity Index at the sampling unit’s location

human_footprint = Human Footprint Index at the sampling unit’s location

forest_cover_1km = Forest cover in 1 km radius of sampling unit’s location (%)

forest_cover_2km = Forest cover in 2 km radius of sampling unit’s location (%)

degraded_forest_1km = Combined land cover of oil palm, lowland mosaics, lowland open ground and regrowth/plantation in 1 km radius of sampling unit’s location (%)

degraded_forest_2km = Combined land cover of oil palm, lowland mosaics, lowland open ground and regrowth/plantation in 2 km radius of sampling unit’s location (%)

oil_palm_1km = Oil palm in 1 km radius of sampling unit’s location (%)

oil_palm_2km = Oil palm in 2 km radius of sampling unit’s location (%)

forest_loss_1km = Forest loss in 1 km radius of sampling unit’s location (%)

forest_loss_2km = Forest loss in 2 km radius of sampling unit’s location (%)

survey_id = ID of the survey of which the sampling unit is a part of

shrink_id = ID of the survey of which the sampling unit is a part of