The data provided were used in a mark-recapture analysis conducted in 2022. Environmental covariates included water quality and Upper Klamath Lake surface elevation. Raw data were downloaded from the USGS Oregon Water Science Center for multiple sampling sites (422622122004000_MDNL_2021-1-14.csv, 422622122004003_MDNU_2021-1-14.csv, 422042121513100_RPT_2021-1-14.csv, 422719121571400_WMR_2021-1-14.csv, MDNL_WQ2_Ammonia_2021-2-3.csv, WMR_WQ2_Ammonia_2021-2-3.csv, Elevation_2021-1-19.csv) and were formatted for use in mark-recapture models. A Program R script (Covariate_Cleaning.R) formats data and then writes multiple csv files with annual environmental covariates for use in subsequent mark-recapture models. Annual survival was estimated using a Cormack-Jolly-Seber (CJS) model for three adult sucker spawning populations: Lost River sucker lake (lrss) and river spawners (lrsr) and Shortnose suckers (sns). The recapture data for each population from 1999-2021 are found in the files lrsrboth.inp, lrssboth.inp, and snsboth.inp. R script ran CJS models using a maximum likelihood approach (LRSS_CJS_ProgramMARK.R, LRSR_CJS_ProgramMARK.R, and SNS_CJS_ProgramMARK.R) that compared multiple competing environmental survival models. Using a Bayesian framework, the top covariate survival models from the maximum likelihood approach for each population were run by calling JAGS (Just Another Gibbs Samplers) through R using the following scripts: LRSS_BayesianCJS_TopCovariateModel.R, LRSR_BayesianCJS_TopCovariateModel.R, SNS_BayesianCJS_TopCovariateModel.R. A sucker population was simulated (SuckerSimulation.R) based on survival from the lake spawning Lost River Sucker population to understand what environmental effect sizes are required to significantly affect sucker survival.

Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2024. Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data. First release: 2023 Revised: October 2024 (ver. 2.0)

Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2024. Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data. First release: 2023 Second release: October 2024 Revised: July 2025 (ver. 3.0)

Data in this data set include effort expended to collect suckers for cohort tracking and metrics and observations for each sucker captured from 2015 through 2022. There are two levels of data. All Nets data contains 5102 records and the data file is 609 KB. Captures data contains 3764 records and the data file is 504 KB. The data files can be linked by setID which is a unique identifier for a unique net set. Data files are CSV files that are comma delimited.

Data in this data set include effort expended to collect suckers for cohort tracking and metrics and observations for each sucker captured from 2015 through 2022. There are two levels of data. All Nets data contains 5102 records and the data file is 609 KB. Captures data contains 3764 records and the data file is 504 KB. The data files can be linked by setID which is a unique identifier for a unique net set. Data files are CSV files that are comma delimited.

Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2022. Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data.

Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2022. Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data.

The U.S. Geological Survey (USGS) Data Release provides phytoplankton data from eight sites located in Upper Klamath Lake, OR from 6/28/2010 to 9/19/2018. Phytoplankton data are reported to the lowest possible taxonomic level and biovolume, biomass, and density are reported.

The U.S. Geological Survey (USGS) Data Release provides phytoplankton data from eight sites located in Upper Klamath Lake, OR from 6/28/2010 to 9/19/2018. Phytoplankton data are reported to the lowest possible taxonomic level and biovolume, biomass, and density are reported.

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data from Upper Klamath Lake, OR and Upper Klamath River, OR from 4/29 - 10/15/2019 from eight sites and zooplankton data from Upper Klamath Lake, OR from 4/16 - 10/15/2019 from three sites. Phytoplankton data are reported to the lowest possible taxonomic level and biovolume, biomass, and density are reported. Zooplankton data are reported to the lowest possible taxonomic level, animal concentration and biomass are also reported.