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.

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.

This is the West Coast regional component of NOAA’s Estuarine Living Marine Resources (ELMR) Project, a national database of ecologically and economically important fishes and invertebrates in the Nation's estuaries. The distribution and relative abundance are depicted in a consistent format for 47 species of fishes and invertebrates, in 32 estuaries in coastal California, Oregon, and Washington State. Species were selected according to a set of criteria, which consider their commercial, recreational, and ecological value, as well as their utility as an indicator of environmental stress. For each species, five life stages are considered - adults, juveniles, larvae, spawning, and eggs - with some exceptions based on individual species life history. Each estuary is subdivided into one to three salinity zones (Tidal Fresh, Mixing, and Seawater). Relative abundance was ranked on a five-tier scale by month for each life stage of each species, in each salinity zone of each estuary. Details of the methods and resulting life history summaries for the West Coast ELMR component can be found in Monaco et al. (1990) and Emmett et al. (1991).

These data include all of Californias marine protected areas (MPAs) as January 1, 2019. This dataset reflects the Department of Fish and Wildlifes best representation of marine protected areas based upon current California Code of Regulations, Title 14, Section 632: Natural Resources, Division 1: FGC- DFG. This dataset is not intended for navigational use or defining legal boundaries.This version includes records for complementary federal marine protected areas at the northern Channel Islands. Details on these areas can be referenced at http://federalregister.gov/a/E7-10096.

These data include all of Californias marine protected areas (MPAs) as January 1, 2019. This dataset reflects the Department of Fish and Wildlifes best representation of marine protected areas based upon current California Code of Regulations, Title 14, Section 632: Natural Resources, Division 1: FGC- DFG. This dataset is not intended for navigational use or defining legal boundaries.This version includes records for complementary federal marine protected areas at the northern Channel Islands. Details on these areas can be referenced at http://federalregister.gov/a/E7-10096.

The National Marine Mammal Laboratory (NMML) a division of NOAA's Alaska Fisheries Science Center (Seattle, WA) and Cascadia Research Collective (Olympia, WA) conducted aerial and small boat line transects to estimate the abundance of harbor porpoises in waters of Oregon, Washington, and British Columbia, Canada. This dataset contains line transect survey data with effort (line length) and sighting data (species, group size, distance/angle) and associated covariate data.

This dataset is a subset of the Tuolumne Aquatic Resources Relational Inventory (TARRI) compiled by Brian Quelvog, California Department of Fish and Game. The database focuses on estimates of fish populations in the central Sierra Nevada counties specifically Tuolumne, Calaveras, Stanislaus, Mariposa, Mono, and Alpine counties. Information includes the number of individuals per species collected during each of two or three passes with backpack electrofisher(s), section length, section width, date, species sampled, the identifier, UTM coordinates, and (if available) photographs of the site. The species documented include rainbow and brown trout, centrachids such as bluegill and green sunfish, cyprinids such as roach and hitch, as well as other groups (eg. mosquitofish and catfish). Over seventy-five sources of information were used in making the data set including aquatic surveys by several agencies, although most of the information is contained in file reports from the California Department of Fish and Game. Collection dates range from 1979 to 2003. What each record represents Each record represents the collection, identification, and count of one species of fish during one of two or three passes with backpack electrofisher(s), the zone, water, site, UTM coordinates, date, and person or organization responsible for the survey.

This dataset includes field data for fishes sampled using gill nets during daylight hours in the Northern Sacramento-San Joaquin Delta, California, USA. This data release includes all measured environmental parameters and fish taxa included in the analysis. First posted - August 19, 2019 (available from author) Revised - December 18, 2019 (version 1.1)

This dataset includes field data for fishes sampled using gill nets during daylight hours in the Northern Sacramento-San Joaquin Delta, California, USA. This data release includes all measured environmental parameters and fish taxa included in the analysis. First posted - August 19, 2019 (available from author) Revised - December 18, 2019 (version 1.1)