Skip to main content
USGS - science for a changing world

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
fit_metrics.R
“calculates fit metrics”
1.35 KB
gather_cv_predictions.R
“makes loo-cv predictions using optimal parameters”
5.23 KB
lcr_tobit.R
“left-censored tobit”
980 Bytes
main.R
“main R script”
6.6 KB
make_plots.R
“script to make plots”
3.74 KB
ordinary_kriging.R
“ordinary kriging script”
3.11 KB
partial_dependence.R
“calculate partial dependence”
3.14 KB
region_of_influence.R
“region of influence tobit”
501 Bytes
roi_lcr_tobit.R
“region of influence tobit”
1.31 KB
stack_models.R
“stacked ensemble model”
2.4 KB
train_bl_models.R
“train baseline models”
3.47 KB
train_ml_models.R
“train machine learning models”
4.38 KB
var_imp.R
“calculate variable importance”
3.62 KB
data_prep.R
“prepares input file”
7.36 KB
lowflow_ar_ia_ks_mo_ne_ok_gagesII_2015.csv
“input data file”
200 KB
gagesII_sept30_2011_var_desc.csv
“description of variables in gagesII”
189.32 KB
model_archive_readme.pdf
“readme”
468.79 KB
7Q10_ar_ia_ks_mo_ne_ok_metadata.xml
Original FGDC Metadata

View
19.52 KB

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

Item Actions

View Item as ...

Save Item as ...

View Item...