README

title: Data for the meta-analysis of the effects of spatial sampling bias correction on presence-only species distribution models.
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This dataset contains information extracted from 220 studies identified through a systematic review of the peer-reviewed literature (Web of Science and SCOPUS databases both searched on the 13/02/2023) to evaluate the usage and effect of spatial sampling bias correction methods in presence-only species distribution models.

Description of the Data and file structure

The dataset contains the following columns:

• study_id = Unique number for identifying each study.
• bibtexkey = Author/year key.
• journal = Name of journal publishing the study.
• title = Title of article.
• volume = Volume number of published study.
• year = Year of publication for study.
• doi = doi of study.
• focal_kingdom = Kingdom of focal species (all named, separated by '|').
• focal_phylum = Phylum of focal species (all named, separated by '|').
• focal_class = Class of focal species (all named, separated by '|').
• focal_order = Order of focal species (all named, separated by '|').
• focal_family = Family of focal species (all named, separated by '|').
• focal_genus = Genus of focal species (all named, separated by '|').
• focal_species = Species name for focal species (all named, separated by '|').
• species_common_name = Species common name in English (all named, separated by '|').
• number_species = Number of species included in analysis.
• min_number_rec = Minimum number of records used in building species distribution models in the study.
• max_number_rec = Maximum number of records used in building species distribution models in the study.
• location = Geographic location of study.
• grain = Spatial grain of analysis (if multiple, separated by '|').
• sdm_method = Species distribution model (SDM) method used (if multiple, separated by '|').
• n_bkgrd = Number of background points used in building SDMs (if multiple, separated by '|').
• bias_correction_method = Spatial sampling bias correction method used (if multiple, separated by '+').
• bias_correction_treatment = A numeric identifying treatments within studies, where multiple bias correction treatments are reported.
• bias_correction_notes = Additional notes on spatial sampling bias correction method.
• basisOfWeights = The approach used to create spatial sampling bias weights (i.e. for sampling background data).
• covariates = Covariates included in model to correct for spatial sampling bias.
• basisOfBuffer = The approach used to define a buffer to capture spatial sampling bias (i.e. for sampling background data).
• comparison_to_uncorrected = Whether there was a comparison between models with and without spatial sampling bias correction.
• performance_metric = The metric used to evaluate model predictive performance.
• corrected_m = Reported mean value of the performance_metric for corrected models.
• corrected_sd = Reported standard deviation of the performance_metric for corrected models.
• corrected_n = Reported sample size for the corrected models.
• corrected_lci = Reported lower 95% confidence interval for the corrected models.
• corrected_uci = Reported upper 95% confidence interval for the corrected models.
• uncorrected_m = Reported mean value of the performance_metric for uncorrected models.
• uncorrected_sd = Reported standard deviation of the performance_metric for uncorrected models.
• uncorrected_n = Reported sample size for the uncorrected models.
• uncorrected_lci = Reported lower 95% confidence interval for the uncorrected models.
• uncorrected_uci = Reported upper 95% confidence interval for the uncorrected models.
• test_dataset = Whether the models were evaluated using internal or independent test data.
• quant_metric = The quantile of metric reported (e.g. mean_sd, mean_95ci, median_iqr).
• notes = Additional notes.
• useInMa = Whether to use in meta-analysis (used where multiple performance_metrics (e.g. AUC, TSS) values have been extracted for the same model predictions).

NA values in cells indicate that the information was not available or not relevant to that entry.

Sharing/access Information

The dataset contains data extracted from published literature and the literature sources are referenced therein. In most cases the data was extracted from the published study or supplementary material, but where this was not possible the study authors were contacted and asked to supply the raw data.