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The New Mexico Water Science Center collects, analyzes, and distributes data on a wide variety of water-related issues and resources. Much of our data are publicly available through the USGS National Water Information System (NWIS), but additional datasets and analytical tools are available here.

Filter Total Items: 56

Sediment chemistry data from sediment traps deployed in the San Juan River watershed, 2021-2022, Four Corners USA

Sediment traps were deployed in thirty-three ephemeral and perennial tributaries to the San Juan River during 2021 and 2022. This dataset includes the chemical concentrations of the sediment samples collected in sediment traps during storm events. These traps collected sediment during storm events that typically occur as monsoonal convective storms from June to September. Because of the rural natu

Scanning electron microscopy data from sediments collected in ephemeral channels, Four Corners region, USA, 2021-2022

The San Juan River is a major water source for communities in the Four Corners region of the United States (parts of Colorado, Arizona, New Mexico, Utah) and is a vital source of water for the Navajo Nation. The Navajo Nation Environmental Protection Agency (NNEPA) periodically samples surface water on the Navajo Nation and has found that some elements exceed NNEPA surface water standards (the upp

Data supporting the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico

This U.S. Geological Survey (USGS) data release contains results from the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico. Both geomorphic surveys were conducted by the USGS, in cooperation with the Village of Ruidoso, New Mexico, and are the last set of surveys in a planned series of five annual geomorphic surveys of the stream reach located between the North Fork Eagle Cree

Thermoelectric-power water use reanalysis for the 2008-2020 period by power plant, month, and year for the conterminous United States

Previous work by the U.S. Geological Survey (USGS) developed models to estimate the amount of water that is withdrawn and consumed by thermoelectric power plants (Diehl and others, 2013; Diehl and Harris, 2014; Harris and Diehl, 2019 [full citations listed in srcinfo of the metadata file]). This data release presents a historical reanalysis of thermoelectric water use from 2008 to 2020 and include

Sediment descriptions, sediment core and pore water chemistry from the San Juan Generating Station reservoir, Waterflow, NM

As part of the Navajo-Gallup Water Supply Project, the Bureau of Reclamation was tasked with design and construction of infrastructure to treat and deliver potable water to the communities of Navajo Nation, parts of the Jicarilla Apache Nation, and City of Gallup. The Bureau of Reclamation has been evaluating the Public Service Company of New Mexico's (PNM) San Juan Generating Station (SJGS) reser

PHREEQC files for geochemical simulations in Horn Creek, Grand Canyon, AZ

PHREEQC files included in this ScienceBase product include the input (.pqi) and output (.pqo) files formatted for use in PHREEQC and as basic text files, and the information regarding samples used in the simulations. The files were used to interpret changes in water quality between 2018 and 2022 within the Horn Creek watershed of Grand Canyon for the associated publication (add citation here when

Modified multi-node well (MNW2) files used to simulate potential future (2016-2050) water-table elevation change near Kirtland Air Force Base in Albuquerque, New Mexico

Data release to accompany the SIR: Potential effects of projected pumping scenarios on future water-table elevations near Kirtland Air Force Base in Albuquerque, New Mexico ( Data release includes the modified MNW2 files for the local-scale and regional model of the MODFLOW LGR-2 version of the updated Middle Rio Grande Regional model, published here: https://w

MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico

The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (, was updated and recalibrated to minimize the biases in RGTIHM?s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency eff

GSFLOW, used to run PRMS and MODFLOW-NWT models, to simulate the effects of natural and anthropogenic impacts on water resources in the Rio San Jose Basin and surrounding areas, New Mexico

The Rio San Jose Integrated Hydrologic Model (RSJIHM) is a sequentially linked, integrated hydrologic model utilizing the Precipitation-Runoff Modeling System (PRMS) (version 5.2.0) and MODFLOW-NWT (version 1.2.0) that was developed to provide a tool for analyzing the hydrologic system response to historical water use and potential changes in water supplies and demands in the Rio San Jose Basin. P

Well site and construction data for observation wells in well clusters SF-3, SF-4, and SF-5, Buckman well field, Santa Fe County, New Mexico, 1987

This dataset provides well-site information and construction data for wells SF-3A, SF-3B, SF-3C, SF-4A, SF-4B, SF-4C, SF-5A, SF-5B, and SF-5C that were installed in the Buckman well field, Santa Fe County, New Mexico. The data include well-site information, borehole diameters and depths, well casing and screen diameters and depths, and annular materials and depths. The data were collected by contr

Data to Estimate Water Use Associated with Oil and Gas Development within the Bureau of Land Management Carlsbad Field Office Area, New Mexico

The purpose of this data release is to provide data in support of the Bureau of Land Management's (BLM) Reasonably Foreseeable Development (RFD) Scenario by estimating water-use associated with oil and gas extraction methods within the BLM Carlsbad Field Office (CFO) planning area, located in Eddy and Lea Counties as well as part of Chaves County, New Mexico. Three comma separated value files and

Passive flux meter data from monitoring wells and sentinel wells in relation to the Kirtland Air Force Base Bulk Fuels Facility, Albuquerque, New Mexico

This U.S. Geological Survey (USGS) data release contains push-pull test results, Darcy velocity data, and contaminant mass flux data measured in Albuquerque, New Mexico, using passive flux meters (PFMs) in monitoring and sentinel wells associated with the Kirtland Air Force Base (KAFB) Bulk Fuels Facility (BFF). Push-pull test results were used to correct Darcy velocity data collected at large dep