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2,358 results for “juveniles”
Monitoring juvenile Chinook salmon outmigration using rotary screw traps on Deer and Mill creeks
The California Department of Fish and Wildlife (CDFW) conducts juvenile salmonid emigration monitoring on Mill and Deer Creek (Tehama County, CA) annually from October through June using rotary screw traps (RSTs). Data from this monitoring is used to estimate juvenile spring-run Chinook salmon (Oncorhynchus tshawytscha) (spring-run) abundance and passage, identify yearling outmigration timing and alert resource agencies of juvenile spring-run presence in the lower Sacramento-San Joaquin Delta. This data will be included in the development of a juvenile production estimate (JPE) for spring-run Chinook salmon in the Sacramento River as required by Condition of Approval 7.5.2 of Incidental Take Permit No. 2081-2019-006-00 (ITP) issued by CDFW to California Department of Water Resources (DWR) for the long-term operation of the State Water Project. Salmonid data collected from the Mill and Deer RSTs, among other datasets, is also used by the Salmon Monitoring Team (SaMT) to understand the movement of juvenile salmon in the Sacramento River Watershed to estimate the number of winter-run and spring-run Chinook salmon that have entered the Sacramento-San Joaquin Delta (Delta). SaMT is a real-time operations monitoring team required by Condition of Approval 8.1.2 of the ITP which meets weekly from October through June, to provide advice for real-time management of SWP operations to DWR, CDFW, and the Water Operation Management Team (WOMT) to minimize take of winter-run and spring-run Chinook salmon in the Delta.
Juvenile salmonid rotary screw trap data from Battle and Clear Creeks, Shasta and Tehama Counties, California.
Clear Creek The U.S. Fish and Wildlife Service continued its juvenile salmonid monitoring project in Clear Creek, Shasta County, California, that began in December 1998 using a rotary screw trap (RST) located at river mile (RM) 1.7. This monitoring project has three primary objectives: (1) calculate annual juvenile passage indices for Chinook Salmon Oncorhynchus tshawytscha and Rainbow Trout/steelhead O. mykiss (we use the term O. mykiss to refer to both the stream resident (Rainbow Trout) and anadromous (steelhead) life histories because of the difficulties in differentiating the anadromous and resident forms in the field) for inter-year comparisons and analyses of the effectiveness of stream restoration activities; (2) obtain juvenile salmonid life history information including size, timing, and potential factors limiting survival; and (3) collect biological samples from juvenile salmonids. Chinook Salmon run classifications show that all Chinook Salmon runs known to the Sacramento River were captured; however, due to overlapping spawning times of spring-run and fall-run Chinook Salmon it was problematic to index the juvenile passage using only the RST at RM 1.7. Since 2003 a separation weir has been used to isolate adult spring-run Chinook Salmon from adult fall-run Chinook Salmon; therefore, a second RST was added above the weir at RM 8.4. Battle Creek The U.S. Fish and Wildlife Service continued its juvenile salmonid monitoring project in Battle Creek, Shasta and Tehama Counties, California, that began in December 1998 using a RST located at river mile (RM) 6.2. The upper Battle Creek RST objectives are to (1) calculate annual juvenile passage indices for spring-run, late-fall run, and winter-run Chinook Salmon; Rainbow Trout/steelhead O. mykiss (we use the term O. mykiss to refer to both the stream resident (Rainbow Trout) and anadromous (steelhead) life histories because of the difficulties in differentiating the anadromous and resident forms in the field); (
Distribution and habitat use of juvenile Feather River salmonids: 25 years and ongoing of snorkel surveys
Since 1999, the California Department of Water Resources (DWR) has conducted annual snorkel surveys to monitor juvenile salmon on the Feather River. The objective of this data collection effort is to determine the relative abundance and distribution of rearing juvenile Chinook salmon and steelhead. A secondary objective is to collect baseline data for future monitoring programs associated with habitat restoration projects. Crews survey units within 20 sampling sections on the high flow (HFC) and low flow channel (LFC) between January and September and collect information on species, fish size, substrate, cover, and habitat type. This dataset represents an extensive time series that could be used to identify habitat conditions where juvenile Chinook salmon and steelhead occur and how these conditions have changed over time. These data were published to support the Healthy Rivers and Landscapes Program.
Monitoring juvenile Chinook salmon outmigration using rotary screw traps on Deer and Mill creeks 2023 to present
The California Department of Fish and Wildlife (CDFW) conducts juvenile salmonid emigration monitoring on Mill and Deer Creek (Tehama County, CA) annually from October through June using rotary screw traps (RSTs). Data from this monitoring is used to estimate juvenile spring-run Chinook salmon (Oncorhynchus tshawytscha) (spring-run) abundance and passage, identify yearling outmigration timing and alert resource agencies of juvenile spring-run presence in the lower Sacramento-San Joaquin Delta. This data will be included in the development of a juvenile production estimate (JPE) for spring-run Chinook salmon in the Sacramento River as required by Condition of Approval 7.5.2 of Incidental Take Permit No. 2081-2019-006-00 (ITP) issued by CDFW to California Department of Water Resources (DWR) for the long-term operation of the State Water Project. Salmonid data collected from the Mill and Deer RSTs, among other datasets, is also used by the Salmon Monitoring Team (SaMT) to understand the movement of juvenile salmon in the Sacramento River Watershed to estimate the number of winter-run and spring-run Chinook salmon that have entered the Sacramento-San Joaquin Delta (Delta). SaMT is a real-time operations monitoring team required by Condition of Approval 8.1.2 of the ITP which meets weekly from October through June, to provide advice for real-time management of SWP operations to DWR, CDFW, and the Water Operation Management Team (WOMT) to minimize take of winter-run and spring-run Chinook salmon in the Delta. This data package is complimentary to edi.1504 and represents current RST monitoring on Deer and Mill creeks. Data within the current year’s monitoring season are considered provisional.
Endurance swimming performance and physiology of juvenile sturgeon at different temperatures, 2022-2024
Endurance swimming trials were conducted on both Green Sturgeon (Acipenser medirostris) and White Sturgeon (Acipenser transmontanus) across multiple size classes to assess the effects of temperature and velocity on swimming performance. Fish were exposed to various water temperatures for at least 14 days and swam at fixed-water velocities (cm/s) in controlled swim tunnels. Data were collected on parameters such as species, size class, trial temperature, velocity, recovery time, time-to-fatigue, swim type classifications, and whether the trials were completed. Additional metadata included fish morphometrics such as fork length, total length, weight, and trial dates, enabling comparisons across species, size, and treatment conditions. Physiological responses were measured post-swimming to evaluate the impacts of endurance trials on the smallest size class of Green Sturgeon (5cm fork length): - In 2022, whole-body cortisol, glucose, and lactate concentrations were measured immediately following endurance trials (0 min recovery). - In 2023, recovery dynamics were incorporated, with physiological responses assessed at multiple time points (0 min, 15 min, 30 min, and 60 min post-trial). - In 2022 and 2023 the baseline physiological metrics (whole-body cortisol, glucose, and lactate concentrations) of control fish (not subjected to swimming trials) were measured across all temperatures, years, species, and size classes. This dataset provides information on sturgeon swimming performance under varied temperature conditions, as well as the associated physiological stress responses, offering valuable insights into their endurance capabilities and recovery processes. The findings can inform conservation strategies, habitat management, and aquaculture practices for these ecologically and economically important species.
Juvenile Salmonid Emigration Monitoring in the Stanislaus River at Oakdale, California, 1996-2023
The operation of the rotary screw trap on the lower Stanislaus River at Oakdale Recreation Area is one of the longest-running datasets (1996-2023) in the Central Valley for juvenile salmonids. The primary objectives of the study are to collect data that can be used to estimate the passage of juvenile fall-run Chinook Salmon (Oncorhynchus tshawytscha) and to quantify the raw catch of Oncorhynchus mykiss. Secondary objectives of the trapping operations focus on collecting biological data on juvenile salmonids and gathering environmental data that will be used to develop models that correlate environmental parameters with salmonid size, temporal presence, abundance, and production.
Interagency Ecological Program: Over four decades of juvenile fish monitoring data from the San Francisco Estuary, collected by the Delta Juvenile Fish Monitoring Program, 1976-2025
The United States Fish and Wildlife Service Delta Juvenile Fish Monitoring Program (DJFMP) has monitored juvenile Chinook Salmon Oncorhynchus tshawytscha and other fish species within the San Francisco Estuary (Estuary) since 1976 using a combination of surface trawls and beach seines. Since 2000, three trawl sites and 58 beach seine sites have been sampled weekly or biweekly within the Estuary and lower Sacramento and San Joaquin Rivers. As part of the Interagency Ecological Program (IEP) that manages the Estuary, the DJFMP has tracked the relative abundance and distribution of naturally and hatchery produced juvenile Chinook Salmon of all races as they outmigrate through the Sacramento-San Joaquin Delta for over four decades. The data that DJFMP collected has been used not only to help inform the management of Chinook Salmon, but also to monitor the status of native species of interest such as the previously listed Sacramento Splittail Pogonichthys macrolepidotus and invasive species such as Mississippi Silverside Menidia audens and Largemouth Bass Micropterus salmoides. DATA CORRECTION/UPDATE: Previous data versions 244.6, 244.7, and 244.8 contained an error and resulted in duplicated records of hatchery Chinook Salmon in the datasets. These datasets were removed from the data repository and the error was corrected in version 244.9 and after. DNA Data: Full more details of the DNA methods and results for juvenile Chinook salmon included in this dataset, please check out Blankenship, S.M., J. Israel, E. Buttermore, and K. Reece. 2021. Knights Landing, California Department of Fish and Wildlife, Genetic Determination of Population of Origin 2017 through 2019 ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/85fbc988c0b1362e84c318e69c7a939e. For more information on the Delta Juvenile Fish Monitoring Program: https://www.fws.gov/project/delta-juvenile-fish-monitoring-program
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2013.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2013. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats. Data was collected at all GCE domain sites as well as one additional Zizaniopsis site (label SCZ2).
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2014.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2014. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats.
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2015.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2015. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats.
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2016.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2016. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in replicate quadrats (8 in creekbank and 12 in mid-marsh zones).
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2017.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2017. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats.
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2018.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2018. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 replicate quadrats.
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2019.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2019. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 creekbank and 12 mid-marsh replicate quadrats.
Survey of adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots at GCE LTER study sites in October 2020.
To characterize spatial variation in the adult and juvenile density of periwinkle snails, Littoraria irrorata, within two zones in the salt marsh, the mid-marsh and creekbank, and across a gradient in salinity and distance to ocean, we surveyed snail density in October 2020. In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 creekbank and 12 mid-marsh replicate quadrats.
Two decades of body length measurements in size-structured larval and juvenile fish populations in English rivers.
<p>Long term ecological datasets are valuable in providing context and understanding to complex ecological processes that occur over broad temporal scales, and provide a baseline for analysing change. Monitoring of fish populations in UK waterbodies and elsewhere is typically through measuring the length of individual fish caught in surveys. Through this method, the age structure of fish populations can be determined, as well as over winer survival rates and future recruitment success and cohort sizes can be predicted. The larval and juvenile period are when fish are considered most vulnerable to predation, competition, disease and environmental perturbations. </p> <p><br>This study presents the first long-term larval and juvenile fish lengths dataset for 67 survey sites over two decades (1999-2018) from the rivers Ancholme, Warwickshire Avon, Don, Trent, and Yorkshire Ouse (including the Swale, Ure, Nidd and Wharfe) in the United Kingdom. These rivers represent a range of topographical and biotopical characteristics. For the majority of this study, surveys were conducted on a monthly or fortnightly basis making both annual and seasonal analyses of size structure, growth and body length possible. Although there is some variation in the sampling frequency and some locations varied throughout the study according to requirements. In total, more than 380,000 larval or juvenile fish of 30 species were measured, likely representing one of the most comprehensive datasets of its type.</p> <p>Surveys were conducted in river margins, where the velocity was slowest and larval and juvenile fish tend to aggregate. Fish were captured using a 25 x 3 m micromesh (3 mm mesh size) seine net that was set in a rectangle parallel to the bank. This net capture fish as small as 5 mm and is the most appropriate method of catching larvae and juvenile fish, although occasionally some larger adult fish may have also been captured and measured as part of this dataset for completeness. All fish were identified to species and measured to standard length (mm) and released at the point of capture. The exception was the smallest larvae, which were euthanised with an overdose of methanesulphonate (MS-222) and preserved in 4% formalin solution for microscopic examination.</p> <p><br>The dataset contains 384,090 rows and 13 columns. Each row corresponds to a single fish that was measured at each site and date. Associated site information (site name, location, area fished (m<sup>2</sup>) and survey date) is reported for each row. When only a fraction of the catch was processed, the sub-sample size was reflected in the Count column (e.g. when half the sample was processed, the numbers of fish measured or only counted were multiplied by two). This enables accurate densities to be calculated as the total number of both measured and unmeasured fish is recorded.</p> <p>Description of columns found in the dataset:</p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Column heading</strong></p> </td> <td> <p><strong>Column description</strong></p> </td> <td> <p><strong>Data type</strong></p> </td> <td> <p><strong>Units</strong></p> </td> </tr> <tr> <td> <p>Fish _Catchment</p> </td> <td> <p>The river catchment/basin location of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_River</p> </td> <td> <p>The river/watercourse location of each fish site.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_SiteName</p> </td> <td> <p>The name of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_Latitude</p> </td> <td> <p>The latitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Longitude</p> </td> <td> <p>The longitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Area</p> </td> <td> <p>Area of fish site surveyed</p> </td> <td> <p>Integer</p> </td> <td> <p>m<sup>-2</sup></p> </td> </tr> <tr> <td> <p>Fish_SurveyDate</p> </td> <td> <p>Date fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>dd/mm/yyyy</p> </td> </tr> <tr> <td> <p>Fish_Year</p> </td> <td> <p>Year fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>yyyy</p> </td> </tr> <tr> <td> <p>Common_Name</p> </td> <td> <p>The common/vernacular name of each fish taxon recorded in the dataset.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Latin_Name</p> </td> <td> <p>The scientific name of each fish taxon recorded in the dataset</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Net_Number</p> </td> <td> <p>The net number the fish in a given survey were caught on</p> </td> <td> <p>Integer</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Length_mm</p> </td> <td> <p>Length of individual fish caught</p> </td> <td> <p>Integer</p> </td> <td> <p>mm</p> </td> </tr> <tr> <td> <p>Count</p> </td> <td> <p>Count of fish caught accounting for sub- sampling</p> </td> <td> <p>Integer</p> </td> <td> <p>Number of fish</p> </td> </tr> </tbody> </table> <p> </p>
Sacramento trawl, Delta Juvenile Fish Monitoring Program, Genetic Determination of Population of Origin 2017-2021
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Chipps Island trawl, Delta Juvenile Fish Monitoring Program, Genetic Determination of Population of Origin 2017-2021
Central Valley Chinook Salmon populations differ in their Endangered Species Act listing status. It is often difficult to distinguish individuals from the different Evolutionarily Significant Units. As such, many of the salmon monitoring and evaluation efforts in the Central Valley and San Francisco Bay-Delta are hampered by uncertainty about population (stock) identification and proportional effects of management actions (Dekar et al. 2013; IEP 2019). Studies have identified that the current identification method (length-at-date models) of juvenile Chinook salmon (Fisher 1992) captured in the watershed vary in their accuracy, particularly for spring-run (NMFS 2013; Harvey et al. 2014; Merz et al. 2014). The inaccuracy of the size-based methods is likely due to differences in fish distribution during early rearing, habitat-specific growth rates, and inter-annual variability in temperatures and food availability that lead to overlap in size ranges among stocks. The primary objective of this project was the genetic classification (to race; Evolutionary Significant Unit) of Chinook Salmon captured from State Water Project and Central Valley Project fish protection facilities and Interagency Ecological Program monitoring programs. The population-of-origin was determined for sampled fish by comparing their genotypes to reference genetic baselines. Genetic methods, having less statistical uncertainty that size-based models for population identification, were intended to directly target (and reduce) one source of uncertainty in the estimation of loss (take) from water diversions (operations) and develop the information necessary for understanding stock-specific distribution, habitat utilization, abundance, and life history variation. This project supports recommendations from the Interagency Ecological Program’s Salmon and Sturgeon Assessment of Indicators by Life Stage and Interagency Ecological Program Science Agenda efforts to improve Central Valley salmonid monitoring
Hydrodynamic modeling data for Synthesis of Juvenile Steelhead Responses to Hydrodynamic Conditions in the Sacramento-San Joaquin Delta
This data release includes the output variables extracted from the UnTRIM Bay-Delta hydrodynamic model (hydrodynamic model) for use in evaluating the effects of hydrodynamics on the behavior of acoustically-tagged juvenile steelhead in the Sacramento-San Joaquin Delta. Work was funded by Proposition 1 and completed by Anchor QEA, LLC, and U.S. Geological Survey for the State Water Contractors under a Proposition 1 Grant (Evaluating Juvenile Salmonid Behavioral Responses to Hydrodynamic Conditions in the Sacramento-San Joaquin Delta), contracted by Delta Stewardship Council. Not all the hydrodynamic model output variables in the output provided with this memorandum were used in the final fish models used to analyze steelhead responses. Model output for additional variables and locations were included for completeness and to make these output files more broadly useful to researchers interested in other locations or variables in the Sacramento-San Joaquin Delta. Hydrodynamic model simulations were conducted for 2011, 2012, 2013, 2014, 2015, and 2016, with hydrodynamic model output variables provided at the same locations for each period simulated. The model simulation for each year spanned the full period of steelhead detections in the telemetry data collected during that year.
USFWS Juvenile White Sturgeon Monitoring, San Joaquin River, 2016-2017
Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for juvenile White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. After two years of this experimental sampling program, it was discontinued due to low catches of White Sturgeon. SJR_Juvenile_WST_Set Data This dataset contains data on an experimental sampling program using trammel nets and setlines to catch juvenile White Sturgeon in the San Joaquin River. Sets were made at targeted locations from November-January in 2016 and 2017. One White Sturgeon (1000 mm fork length) was captured in a trammel net in 2016. SJR_Juvenile_WST_Catch Data This dataset contains data for individual fish caught in trammel nets or setlines in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, and tag information are provided. SJR_Fish_Taxonomy Data This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.