Model Estimates of Chlorophyll a and CyanoHABs Occurrence for Select New York State Lakes

Description

This data release contains modeled estimates of chlorophyll a concentration and cyanoHAB occurrence for a subset of lakes in New York State. Estimates of chlorophyll a concentration were generated using a random forest model. Estimates of cyanoHAB occurrence were generated based on thresholds derived from bootstrapped logistic regression. All analysis was done in R 4.4.1 (R Core Team, 2024) and the full methods are described in Savoy and others (2025). Items in this data release include: random forest inputs and output.txt: Contains observed chlorophyll a concentrations, modeled estimates of chlorophyll a from a random forest model, and all necessary inputs to the model. The file format is tab-delimited with one observation per row. chla_logistic.txt: Contains modeled estimates of cyanoHABs occurrence based on a threshold of chlorophyll a concentration, observed cyanoHAB occurrence, and chlorophyll a concentrations. The file format is tab-delimited with one observation per row. dwl_logistic.txt: Contains modeled estimates of cyanoHABs occurrence based on a threshold of dominant wavelength, observed cyanoHAB occurrence, and dominant wavelength. The file format is tab-delimited with one observation per row. kd_logistic.txt: Contains modeled estimates of cyanoHABs occurrence based on a threshold of the irradiance attenuation coefficient, observed cyanoHAB occurrence, and irradiance attenuation coefficient. The file format is tab-delimited with one observation per row. tn_logistic.txt: Contains modeled estimates of cyanoHABs occurrence based on a threshold of total nitrogen, observed cyanoHAB occurrence, and total nitrogen. The file format is tab-delimited with one observation per row. tp_logistic.txt: Contains modeled estimates of cyanoHABs occurrence based on a threshold of total phosphorus, observed cyanoHAB occurrence, and total phosphorus. The file format is tab-delimited with one observation per row. Associated metadata for each data file follow the same naming convention with a .xml extension. Includes inputs and output from a random forest model to predict chlorophyll a concentration. Included in this dataset are the necessary model inputs, observed chlorophyll a concentrations, and modeled estimates of chlorophyll a for 110 lakes across New York State.

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P13NI4NL

Tags

  • usgs-67897fefd34e555111215703
  • inlandwaters
  • lakes

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