Background: The Nonindigenous Aquatic Species (NAS) Database functions as a repository and clearinghouse for the occurrence of nonindigenous aquatic species information from across the United States. The Database contains locality information on more than 1,300 species introduced as early as 1800, including freshwater vertebrates and invertebrates, aquatic plants, and marine fishes. Taxa include both foreign species and North American native species that have been translocated outside of their natural range. Locality data are derived from many sources, including scientific literature; Federal, State, and local natural resource monitoring programs; museum collections; news agencies; and direct submission through online reporting forms. To effectively identify and record new introductions for North American native taxa, a robust estimate of their natural native ranges is required. Previously, the NAS Database has used native range information for fishes provided by NatureServe, which was collected from State natural heritage program inventory data and published State fish books. Although these range maps represent an essential first step in assembling native range data, the NatureServe data has varied for many species due to initial data assumptions (i.e., species presence = nativity). Additionally, NatureServe native ranges exhibit watershed gaps for many species. NAS program staff members have made thousands of corrections to these data internally and periodically communicate these changes back to NatureServe. Methods: Native ranges were developed from several data sources. Dr. Dana Infante, Michigan State University, provided the NAS program with occurrence (presence) data from 40-50 Federal, State, museum, and university data providers gathered during her work on the National Fish Habitat Partnership (NFHP). Although many data providers have offered datasets with no restrictions, some have restrictions on redistribution. In addition to the NFHP data, we utilized occurrence datasets for United States museum collections from Biodiversity Information Serving Our Nation (BISON), National Science Foundation's VertNet, FishNet 2 (fish collections in natural history museums, universities, and other institutions), Multistate Aquatic Resources Information System (MARIS) data and Global Biodiversity Information Facility (GBIF), along with a review of State fish books and other primary literature, to complete native range data maintained locally in the NAS Database. Occurrence datasets will be combined into larger, species-specific datasets for further processing at a hydrologic unit code (HUC). We will use GIS analyses to identify watershed occurrence at the eight-digit (HUC8) and twelve-digit (HUC12) level, using the 2015 version of the Watershed Boundary Dataset. HUCs containing known nonindigenous occurrences will be removed from the native range. Watershed gaps (i.e., a HUC that lies between two that are identified as part of the native range) will be investigated using historical literature to identify data gaps from actual range gaps. We will supply native range data by HUC8 (and HUC12 where possible) for 320 species listed below. These data will be provided as a comma-separated values (CSV) file and be made available on the NAS website via web services application programming interface (API).

This USGS data release documents presence and absences of 419 fish species in the conterminous United States for 35,918 stream reaches of the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1). Sample dates for this dataset span 1990-2019. Fish samples were aligned to the Integrated Taxonomic Information System (ITIS), where each species record was assigned a Taxonomic Serial Number (TSN). The dataset is structured with records representing a stream reach (i.e. comid), sample description (i.e. source, date) and a series of 419 columns representing species where each species column is named as the TSN. Data can be visualized on the NHDPlusV2.1 after a tabular join using the field 'comid' or can be projected and visualized as point data using the latitude and longitude fields (using coordinate reference system NAD83) that represent the midpoint of the stream reach that they were associated with. Data are provided in comma separated value (CSV) format.

This USGS data release documents presence and absences of 419 fish species in the conterminous United States for 35,918 stream reaches of the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1). Sample dates for this dataset span 1990-2019. Fish samples were aligned to the Integrated Taxonomic Information System (ITIS), where each species record was assigned a Taxonomic Serial Number (TSN). The dataset is structured with records representing a stream reach (i.e. comid), sample description (i.e. source, date) and a series of 419 columns representing species where each species column is named as the TSN. Data can be visualized on the NHDPlusV2.1 after a tabular join using the field 'comid' or can be projected and visualized as point data using the latitude and longitude fields (using coordinate reference system NAD83) that represent the midpoint of the stream reach that they were associated with. Data are provided in comma separated value (CSV) format.

This USGS data release documents presence and absences of 419 fish species in the conterminous United States for 35,918 stream reaches of the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1). Sample dates for this dataset span 1990-2019. Fish samples were aligned to the Integrated Taxonomic Information System (ITIS), where each species record was assigned a Taxonomic Serial Number (TSN). The dataset is structured with records representing a stream reach (i.e. comid), sample description (i.e. source, date) and a series of 419 columns representing species where each species column is named as the TSN. Data can be visualized on the NHDPlusV2.1 after a tabular join using the field 'comid' or can be projected and visualized as point data using the latitude and longitude fields (using coordinate reference system NAD83) that represent the midpoint of the stream reach that they were associated with. Data are provided in comma separated value (CSV) format.

This GIS dataset offers a link to the California portion of the Nonindigenous Aquatic Species (NAS) information resource for the United States Geological Survey. The NAS program has been established as a central repository for accurate and spatially referenced biogeographic accounts of nonindigenous aquatic species. The program provides scientic reports, online/realtime queries, spatial data sets, regional contact lists, and general information. The goal of the information system is to provide timely, reliable data about the presence and distribution of nonindigenous aquatic species. The NAS database contains locality information for more than 1100 species of vertebrates, invertebrates, and vascular plants. The NAS program provides a continual national repository of distribution information for nonindigenous aquatic species that is used to gain an understanding of aquatic introductions, identify geographic gaps, and access the status of introduced aquatic species nationwide. Data are obtained from many sources including literature, museums, databases, monitoring programs, state and federal agencies, professional communications, online reporting forms, and Aquatic Nuisance Species (ANS) hotline reports. The NAS program defines a nonindigenous aquatic species as a member(s) of a species that enters a body of water of aquatic ecosystem outside of its historic or native range. This includes not only species that arrived from outside of North America but also species native to North America that have been introduced to drainages outside their ranges within the country. Please visit http://nas.er.usgs.gov for more information and to see all of the products and data available through the NAS program.

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This data release documents the data used for the associated publication "Evaluating hydrologic region assignment techniques for ungaged watersheds in Alaska, USA" (Barnhart and others, 2022) The data sets within this release are stored in 14 files: (1) Streamflow observations and sites used. (2) Statistically estimated streamflow values computed for each site. (3) Streamflow statistics computed from observed and estimated streamflow values at each site, basin characteristics for each site, and hydrologic regions (clusters) for each site. (4) A dataset describing the optimal number of hydrologic regions into which the considered sites were grouped. (5) P-values from a multiple comparisons analysis testing for statistical differences between clusters for each basin characteristic and streamflow statistic. (6) A matrix of zeros and ones describing the performance of each hydrologic region assignment technique considered in the publication associated with this release. (7) A dataset of variable importance generated by random forest modeling-based hydrologic region assignment techniques evaluated. (8-14) Daily datasets of simulated SnowModel (Liston and Elder, 2006) runoff (snowmelt + rainfall), precipitation, glacial melt, snow water equivalent, snow covered area, liquid precipitation, and air temperature for Alaska, USA at a 1 km grid cell size.

This dataset contains two tables comprising catch per unit effort (CPUE) data and length measurements from fish surveys conducted in the nearshore Beaufort Sea, Alaska, between 1988 and 2019. Historical data collected by the U.S. Fish and Wildlife Service (USFWS) includes fish catch and fish length data (measured from a subset of the total catch) from two eras, 1988-1991 and 2003-2005, in the eastern Beaufort Sea (Arctic National Wildlife Refuge). Similar data was collected by the U.S. Geological Survey (USGS) from a subset of the historical eastern Beaufort Sea sites and some additional central Beaufort Sea (Simpson Lagoon and Stefansson Sound) sites more recently, 2017-2019. Here we have compiled and standardized datasets from the three eras of fish surveys.

Tabular dataset containing age, sex, and length biometric data for all whitefish species detected and recorded at the Andreafsky weir for 2010-2013 and 2015. Data was compiled from in-season data sheets. Sex was identified visually and length was measured using a measuring board to the nearest 1/2 mm. Total weight in grams was taken for every sampled individual. if the specimen was identified as a female, egg weight in grams was recorded and relative egg weight as a percentage was calculated. NA refers to missing data.

Tabular dataset containing age, sex, and length biometric data for all whitefish species detected and recorded at the Andreafsky weir for 2010-2013 and 2015. Data was compiled from in-season data sheets. Sex was identified visually and length was measured using a measuring board to the nearest 1/2 mm. Total weight in grams was taken for every sampled individual. if the specimen was identified as a female, egg weight in grams was recorded and relative egg weight as a percentage was calculated. NA refers to missing data.