This child data release includes field spectra obtained as part of a study focused on mapping salmon spawning locations along the American River near Sacramento, California, via remote sensing; the data were collected November 5-7, 2018. The purpose of this study was to develop and test a spectrally based technique for identifying salmon spawning locations, known as redds, from various types of remotely sensed data. Traditionally, redds have been mapped by eye while walking the bank or from a boat, or by an observer in an aircraft or an interpreter visually examining aerial images. The goal of this proof-of-concept investigation was to assess the potential for more efficient, objective, and automated redd mapping from conventional true color (RGB, or red/green/blue) and hyperspectral images. The field spectra were recorded from above the water surface at redds mapped in the field using an ASD HandHeld2 Pro spectroradiometer in reflectance mode, with periodic measurements from a Spectralon panel serving as the white reference. For each redd location, spectra were recorded for the pot and tail of each redd and the adjacent undisturbed substrate. The data consist of reflectance measurements over the wavelength range from 325 to 1075 nm, along with the spatial coordinates and water depth for the redd. Field spectra from 20 redds are compiled in a single file, ReddSpectra.csv, and organized by redd, with a pot, tail, and undisturbed spectrum from each redd. The file also includes colums for the easting and northing spatial coordinates, bed elevations, and water depths. The reflectance at each wavelength from 325 to 1075 nm is given in a separate column of the file. No post-processing of the raw spectra measured in the field was performed. These data were used to assess the potential for identifying salmon spawning locations from various types of remotely sensed data.

MESHR has been testing an approach focused on habitat metrics and fish response for determining effectiveness of large wood treatments. Data is collected using an adapted protocol from the Washington State Salmon Recovery Funding Board (Crawford 2011) and the U.S. Environmental Protection Agency (Kaufmann et al. 1999) to methodically measure habitat characteristics in stream reaches for a subsample of large wood installation projects using a Before-After, Control-Impact (BACI) study design. Large wood, residual water and pool depths, percent occurrence of particular substrates, substrate embeddedness, fish cover, and snorkel validation data are documented. 1.092 MB. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000238. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

Washington State salmon recovery region boundaries.

MESHR has been testing an approach focused on habitat metrics and fish response for determining effectiveness of large wood treatments. Data is collected using an adapted protocol from the Washington State Salmon Recovery Funding Board (Crawford 2011) and the U.S. Environmental Protection Agency (Kaufmann et al. 1999) to methodically measure habitat characteristics in stream reaches for a subsample of large wood installation projects using a Before-After, Control-Impact (BACI) study design. Large wood, residual water and pool depths, percent occurrence of particular substrates, substrate embeddedness, fish cover, and snorkel validation data are documented. 1.092 MB. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000238. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

Middle COlumbia salmon recovery region boundaries

upper columbia salmon recovery region boundaries

Field data for fishes sampled using bottom gill nets and otter trawls during daylight hours in the northern part of the Sacramento-San Joaquin Delta, California, USA. Two adjacent tidal wetlands were targeted for sampling: Little Holland Tract and Liberty Island Conservation Bank

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 represents habitat measurements and fish sampling (https://data.kingcounty.gov/Environment-Waste-Management/Fish-data-for-Juvenile-Pacific-salmonid-habitat-us/hznk-dan4) from the Snoqualmie and Green rivers in the Puget Sound region of Washington State, USA. Using a cataraft mounted with a boat electrofisher, these data were collected between late winter and late spring from 2016 through 2022. Measurements were of 25-m-long transects along six different edge habitat types in the two rivers. The edge habitats represented in this dataset are ‘armored banks’, ‘biorevetment banks’, ‘unarmored banks’, ‘bars’, ‘backwaters’, and ‘side channels’. These data were collected as part of monitoring of eight habitat restoration or bioengineered bank stabilization projects in the Snoqualmie and Green rivers, along with three more general studies of fish-habitat relationships in the two rivers. These data are analyzed and presented in the journal article “Juvenile Pacific salmonid habitat use in two Puget Sound lowland Rivers”, published in the Transactions of the American Fisheries Society (https://afspubs.onlinelibrary.wiley.com/doi/10.1002/tafs.10457). All data were collected by the King County Water and Land Resources Division, Science and Technical Support Section. Habitat data were collected during the day and include measurements of the width of low-velocity habitat (≤ 0.45m/s) and water depth along each transect. Fish sampling occurred after darkness fell the evening following habitat data collection. Fish data include the number of each species sampled at each transect and the number of seconds each transect was electrofished. For additional details on the data and collection methods, please see the associated journal article or contact the article authors: Aaron David (adavid@kingcounty.gov), Christopher Gregersen (chris.gregersen@kingcounty.gov), Joshua Kubo (josh.kubo@kingcounty.gov), Daniel Lantz (dan.lantz@kingcounty.gov), and James Bower (james.bower@kingcounty.gov).