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7Q10 Records and Basin Characteristics for 173 basins in Arkansas, Iowa, Kansas, Missouri, Nebraska, and Oklahoma (2017)

Dates

Publication Date
Time Period
2017

Citation

Worland, S.C., Farmer, W.H., and Kiang, J.E., 2017, 7Q10 Records and Basin Characteristics for 173 basins in Arkansas, Iowa, Kansas, Missouri, Nebraska, and Oklahoma (2017): U.S. Geological Survey data release, https://doi.org/10.5066/F7GQ6WQN.

Summary

This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located in South Carolina, Georgia, and Alabama. The data set used in this data release is for 6 states in the Southern Midwest U.S.A. The datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90% (7Q10) for 173 basins in Arkansas (AR), Iowa (IA), Kansas (KS), Missouri (MO), Nebraska (NE), and Oklahoma [...]

Contacts

Point of Contact :
Scott C Worland
Process Contact :
Scott C Worland
Originator :
Scott C Worland, William H Farmer, Julie E Kiang
Metadata Contact :
Scott C Worland
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Water Resources
SDC Data Owner :
Lower Mississippi-Gulf Water Science Center

Attached Files

Click on title to download individual files attached to this item.

bayes_optim_caret.R
“Bayesian optimization R function”
1.88 KB text/x-rsrc
fit_metrics.R
“calculates fit metrics”
1.35 KB text/x-rsrc
gather_cv_predictions.R
“makes loo-cv predictions using optimal parameters”
5.23 KB text/x-rsrc
lcr_tobit.R
“left-censored tobit”
980 Bytes text/x-rsrc
main.R
“main R script”
6.6 KB text/x-rsrc
make_plots.R
“script to make plots”
3.74 KB text/x-rsrc
ordinary_kriging.R
“ordinary kriging script”
3.11 KB text/x-rsrc
partial_dependence.R
“calculate partial dependence”
3.14 KB text/x-rsrc
region_of_influence.R
“region of influence tobit”
501 Bytes text/x-rsrc
roi_lcr_tobit.R
“region of influence tobit”
1.31 KB text/x-rsrc
stack_models.R
“stacked ensemble model”
2.4 KB text/x-rsrc
train_bl_models.R
“train baseline models”
3.47 KB text/x-rsrc
train_ml_models.R
“train machine learning models”
4.38 KB text/x-rsrc
var_imp.R
“calculate variable importance”
3.62 KB text/x-rsrc
data_prep.R
“prepares input file”
7.36 KB text/x-rsrc
lowflow_ar_ia_ks_mo_ne_ok_gagesII_2015.csv
“input data file”
200 KB text/csv
gagesII_sept30_2011_var_desc.csv
“description of variables in gagesII”
189.32 KB text/csv
model_archive_readme.pdf
“readme”
468.79 KB application/pdf

Purpose

Data were collected to explore the use of machine-learning models for predicting low-flow indices (7Q10s) using basin characteristics

Map

Communities

  • USGS Data Release Products
  • USGS Lower Mississippi-Gulf Water Science Center

Tags

Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7GQ6WQN

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