Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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MODFLOW-2005 and SWI2 models for assessing groundwater availability scenarios in volcanic aquifers on Kauai, Oahu, and Maui, Hawaii MODFLOW-2005 and SWI2 models for assessing groundwater availability scenarios in volcanic aquifers on Kauai, Oahu, and Maui, Hawaii
Previously constructed steady-state numerical groundwater-flow models for the islands of Kauai, Oahu, and Maui, Hawaii (https://doi.org/10.3133/sir20205126) using MODFLOW-2005 with the Seawater Intrusion (SWI2) package, were used to examine the consequences of historical and plausible future withdrawals and changes in recharge. The volcanic aquifers of the Hawaiian Islands supply water...
Gravity and physical property data, basin depth of the Hayfork graben, and horizontal gradient maxima of the southern Klamath Mountains, California Gravity and physical property data, basin depth of the Hayfork graben, and horizontal gradient maxima of the southern Klamath Mountains, California
This data release contains principal facts of gravity measurements collected by the U.S. Geological Survey in 2013-2022, a compilation of existing and new density and magnetic susceptibility data, horizontal gradient maxima derived from gravity and magnetic potential fields, and depth of Cenozoic basin fill in the Hayfork basin from inversion of gravity data of the southern Klamath...
Data in support of flood-frequency report--Magnitude and Frequency of Floods on Kaua'i, Oʻahu, Moloka'i, Maui, and Hawai'i, State of Hawai'i, Based on Data through Water Year 2020 Data in support of flood-frequency report--Magnitude and Frequency of Floods on Kaua'i, Oʻahu, Moloka'i, Maui, and Hawai'i, State of Hawai'i, Based on Data through Water Year 2020
The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kaua'i, Oʻahu, Moloka'i, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be...
22 years of aquatic plant spatiotemporal dynamics in the Upper Mississippi River - derived spatial data (Pools 4, 8, and 13) 22 years of aquatic plant spatiotemporal dynamics in the Upper Mississippi River - derived spatial data (Pools 4, 8, and 13)
Geodatabases were developed to compile mapped relative abundance raster data sets for 25 species/species groups, and also Curve Fit regression tool adjusted R-squared, standard error, y-intercept, and slope spatial outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4...
Broadly Shared Information Needs Among Grassland Managers in the North Central Region Broadly Shared Information Needs Among Grassland Managers in the North Central Region
The broadly shared information needs for grassland managers in the North Central region to meet conservation goals in a changing climate are presented and ranked as highly relevant, somewhat relevant, or not relevant for federal, state, tribal, and non-governmental grassland-managing entities.
Species of Greatest Conservation Need in the North Central Region Species of Greatest Conservation Need in the North Central Region
This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table...