The Chinook database was created as an alternative to the Northwind database. It represents a digital media store, including tables for artists, albums, media tracks, invoices and customers.
The Chinook database is available on GitHub. It’s available for various DBMSs including MySQL, SQL Server, SQL Server Compact, PostgreSQL, Oracle, DB2, and of course, SQLite.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Chinook Abundance - Point Features [ds180]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fac4406b-be41-4b87-a360-d0e449230bbb on 27 January 2022.
--- Dataset description provided by original source is as follows ---
The dataset ds180_Chinook_pnts is a product of the CalFish Adult Salmonid Abundance Database. Data in this shapefile are collected from point features, such as dams and hatcheries. Some escapement monitoring locations, such as spawning stock surveys, are logically represented by linear features. See the companion linear feature shapefile ds181_Chinook_ln for information collected from stream reaches.The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California.The data format provides for sufficient detail to convey the relative accuracy of each population trend index record yet is simple and straight forward enough to be suited for public use. For those interested in more detail the database offers hyperlinks to digital copies of the original documents used to compile the information. In this way the database serves as an information hub directing the user to additional supporting information. This offers utility to field biologists and others interested in obtaining information for more in-depth analysis. Hyperlinks, built into the spatial data attribute tables used in the BIOS and CalFish I-map viewers, open the detailed index data archived in the on-line CalFish database application. The information can also be queried directly from the database via the CalFish Tabular Data Query. Once the detailed annual trend data are in view, another hyperlink opens a digital copy of the document used to compile each record.During 2010, as a part of the Central Valley Chinook Comprehensive Monitoring Plan, the CalFish Salmonid Abundance Database was reorganized and updated. CalFish provides a central location for sharing Central Valley Chinook salmon escapement estimates and annual monitoring reports to all stakeholders, including the public. Annual Chinook salmon in-river escapement indices that were, in many cases, eight to ten years behind are now current though 2009. In some cases, multiple datasets were consolidated into a single, more comprehensive, dataset to more closely reflect how data are reported in the California Department of Fish and Game standard index, Grandtab.Extensive data are currently available in the CalFish Abundance Database for California Chinook, coho, and steelhead. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Harvest data has also been compiled for many streams.This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG).The features in this layer represent the location for which abundance data records apply. In many cases there are multiple datasets associated with the same location, and so, features may overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" field that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets.The Chinook data that is available from the CalFish website is actually mirrored from the StreamNet website where the CalFish Abundance Databases tabular data is currently stored. Additional information about StreamNet may be downloaded at http://www.streamnet.org. Complete documentation for the StreamNet database may be accessed at http://http://www.streamnet.org/def.html
--- Original source retains full ownership of the source dataset ---
The dataset ds181_Chinook_ln is a product of the CalFish Adult Salmonid Abundance Database. Data in this shapefile are collected from stream sections or reaches where Chinook population monitoring occurs and that are best represented by linear features. Some escapement monitoring locations are logically represented by point features, such as dams and hatcheries. See the companion point feature shapefile ds180_Chinook_pnts for information collected from point locations.The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California.The data format provides for sufficient detail to convey the relative accuracy of each population trend index record yet is simple and straight forward enough to be suited for public use. For those interested in more detail the database offers hyperlinks to digital copies of the original documents used to compile the information. In this way the database serves as an information hub directing the user to additional supporting information. This offers utility to field biologists and others interested in obtaining information for more in-depth analysis. Hyperlinks, built into the spatial data attribute tables used in the BIOS and CalFish I-map viewers, open the detailed index data archived in the on-line CalFish database application. The information can also be queried directly from the database via the CalFish Tabular Data Query. Once the detailed annual trend data are in view, another hyperlink opens a digital copy of the document used to compile each record.During 2010, as a part of the Central Valley Chinook Comprehensive Monitoring Plan, the CalFish Salmonid Abundance Database was reorganized and updated. CalFish provides a central _location for sharing Central Valley Chinook salmon escapement estimates and annual monitoring reports to all stakeholders, including the public. Annual Chinook salmon in-river escapement indices that were, in many cases, eight to ten years behind are now current though 2009. In some cases, multiple datasets were consolidated into a single, more comprehensive, dataset to more closely reflect how data are reported in the California Department of Fish and Game standard index, Grandtab.Extensive data are currently available in the CalFish Abundance Database for California Chinook, coho, and steelhead. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Harvest data has also been compiled for many streams.This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG).The features in this layer represent the _location for which abundance data records apply. In many cases there are multiple datasets associated with the same _location, and so, features may overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" field that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets.The Chinook data that is available from the CalFish website is actually mirrored from the StreamNet website where the CalFish Abundance Databases tabular data is currently stored. Additional information about StreamNet may be downloaded at http://www.streamnet.org. Complete documentation for the StreamNet database may be accessed at http://http://www.streamnet.org/def.html
The dataset 'ds180_Chinook_pnts' is a product of the CalFish Adult Salmonid Abundance Database. Data in this shapefile are collected from point features, such as dams and hatcheries. Some escapement monitoring locations, such as spawning stock surveys, are logically represented by linear features. See the companion linear feature shapefile 'ds181_Chinook_ln' for information collected from stream reaches.The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California.The data format provides for sufficient detail to convey the relative accuracy of each population trend index record yet is simple and straight forward enough to be suited for public use. For those interested in more detail the database offers hyperlinks to digital copies of the original documents used to compile the information. In this way the database serves as an information hub directing the user to additional supporting information. This offers utility to field biologists and others interested in obtaining information for more in-depth analysis. Hyperlinks, built into the spatial data attribute tables used in the BIOS and CalFish I-map viewers, open the detailed index data archived in the on-line CalFish database application. The information can also be queried directly from the database via the CalFish Tabular Data Query. Once the detailed annual trend data are in view, another hyperlink opens a digital copy of the document used to compile each record.During 2010, as a part of the Central Valley Chinook Comprehensive Monitoring Plan, the CalFish Salmonid Abundance Database was reorganized and updated. CalFish provides a central location for sharing Central Valley Chinook salmon escapement estimates and annual monitoring reports to all stakeholders, including the public. Annual Chinook salmon in-river escapement indices that were, in many cases, eight to ten years behind are now current though 2009. In some cases, multiple datasets were consolidated into a single, more comprehensive, dataset to more closely reflect how data are reported in the California Department of Fish and Game standard index, Grandtab.Extensive data are currently available in the CalFish Abundance Database for California Chinook, coho, and steelhead. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Harvest data has also been compiled for many streams.This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG).The features in this layer represent the location for which abundance data records apply. In many cases there are multiple datasets associated with the same location, and so, features may overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" field that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets.The Chinook data that is available from the CalFish website is actually mirrored from the StreamNet website where the CalFish Abundance Database's tabular data is currently stored. Additional information about StreamNet may be downloaded at http://www.streamnet.org. Complete documentation for the StreamNet database may be accessed at http://http://www.streamnet.org/def.html
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Chinook Abundance - Linear Features [ds181]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/da3274e6-3e1b-4b65-8580-94279336cd2e on 26 January 2022.
--- Dataset description provided by original source is as follows ---
The dataset ds181_Chinook_ln is a product of the CalFish Adult Salmonid Abundance Database. Data in this shapefile are collected from stream sections or reaches where Chinook population monitoring occurs and that are best represented by linear features. Some escapement monitoring locations are logically represented by point features, such as dams and hatcheries. See the companion point feature shapefile ds180_Chinook_pnts for information collected from point locations.The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California.The data format provides for sufficient detail to convey the relative accuracy of each population trend index record yet is simple and straight forward enough to be suited for public use. For those interested in more detail the database offers hyperlinks to digital copies of the original documents used to compile the information. In this way the database serves as an information hub directing the user to additional supporting information. This offers utility to field biologists and others interested in obtaining information for more in-depth analysis. Hyperlinks, built into the spatial data attribute tables used in the BIOS and CalFish I-map viewers, open the detailed index data archived in the on-line CalFish database application. The information can also be queried directly from the database via the CalFish Tabular Data Query. Once the detailed annual trend data are in view, another hyperlink opens a digital copy of the document used to compile each record.During 2010, as a part of the Central Valley Chinook Comprehensive Monitoring Plan, the CalFish Salmonid Abundance Database was reorganized and updated. CalFish provides a central location for sharing Central Valley Chinook salmon escapement estimates and annual monitoring reports to all stakeholders, including the public. Annual Chinook salmon in-river escapement indices that were, in many cases, eight to ten years behind are now current though 2009. In some cases, multiple datasets were consolidated into a single, more comprehensive, dataset to more closely reflect how data are reported in the California Department of Fish and Game standard index, Grandtab.Extensive data are currently available in the CalFish Abundance Database for California Chinook, coho, and steelhead. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Harvest data has also been compiled for many streams.This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG).The features in this layer represent the location for which abundance data records apply. In many cases there are multiple datasets associated with the same location, and so, features may overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" field that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets.The Chinook data that is available from the CalFish website is actually mirrored from the StreamNet website where the CalFish Abundance Databases tabular data is currently stored. Additional information about StreamNet may be downloaded at http://www.streamnet.org. Complete documentation for the StreamNet database may be accessed at http://http://www.streamnet.org/def.html
--- Original source retains full ownership of the source dataset ---
This project evaluates data from coded wire tagging with that from parental based tagging to identify stock of origin for Chinook salmon landed in Washington state commercial troll fishery.
NOAA Fisheries is a cooperator with the Washington Department of Fish and Wildlife and the Lummi, Nooksack, and Stillaguamish Tribes in a 10-year program to rebuild the South Fork Nooksack River spring Chinook and Stillaguamish River fall Chinook stocks through a captive broodstock program. The fork length to the nearest mm and weight to the nearest gram of fish is recorded on an approximately annual basis.
Puget Sound Chinook ESU (2022). Note: 2020 also attached.
The CalFish Abundance Database contains a comprehensive collection of anadromous fisheries abundance information. Beginning in 1998, the Pacific States Marine Fisheries Commission, the California Department of Fish and Game, and the National Marine Fisheries Service, began a cooperative project aimed at collecting, archiving, and entering into standardized electronic formats, the wealth of information generated by fisheries resource management agencies and tribes throughout California. Extensive data are currently available for chinook, coho, and steelhead. Major data categories include adult abundance population estimates, actual fish and/or carcass counts, counts of fish collected at dams, weirs, or traps, and redd counts. Harvest data has also been compiled for many streams. This CalFish Abundance Database shapefile was generated from fully routed 1:100,000 hydrography. In a few cases streams had to be added to the hydrography dataset in order to provide a means to create shapefiles to represent abundance data associated with them. Streams added were digitized at no more than 1:24,000 scale based on stream line images portrayed in 1:24,000 Digital Raster Graphics (DRG). These features represent abundance information resulting from counts at weirs, fish ladders, or other point-type monitoring protocols such as beach seining. The point features in this layer typically represent the location for which abundance data records apply. In many cases there are multiple datasets associated with the same point location, and so, point features overlap. Please view the associated datasets for detail regarding specific features. In CalFish these are accessed through the "link" field that is visible when performing an identify or query operation. A URL string is provided with each feature in the downloadable data which can also be used to access the underlying datasets. The chinook data that is available via the CalFish website is actually linked directly
Lead in Drinking Water in Schools Test Results – Chinook Middle School
Lead in Drinking Water in Schools Test Results – Chinook Elementary
Concern over the status of chinook salmon on the Pacific Coast, and particularly in the north (Fig. 1), has become more prevalent in recent years due to an apparent decline in stock size. This concern emphasizes the need for better conservation, improved management techniques and stock enhancement where feasible. However, prior to recommending measures for better control of the resource, it is appropriate that all information on chinook salmon stocks be assembled into readable and applicable manuscript reports. This report focuses on one area of the Pacific Coast - the North Coastal Branch, comprising Statistical Areas 1 to 5.
Snake River Spring-Summer Chinook Salmon index redd count transects done annually since 1957 as an index of relative abundance.
This dataset provides information about the number of properties, residents, and average property values for Chinook Lane cross streets in Otis, OR.
Many species that undergo long breeding migrations, such as anadromous fishes, face highly heterogeneous environments along their migration corridors and at their spawning sites. These environmental challenges encountered at different life stages may act as strong selective pressures and drive local adaptation. However, the relative influence of environmental conditions along the migration corridor compared to the conditions at spawning sites on driving selection is still unknown. In this study, we performed genome-environment associations (GEA) to understand the relationship between landscape and environmental conditions driving selection in seven populations of the anadromous Chinook salmon (Oncorhynchus tshawytscha)–a species of important economic, social, cultural and ecological value–in the Columbia River basin. We extracted environmental variables for the shared migration corridors and at distinct spawning sites for each population, and used a Pool-seq approach to perform whole ge...
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Fish Observation Data from GeoBC (October 2016) that is clipped to the Skeena Watershed.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Chinook population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Chinook. The dataset can be utilized to understand the population distribution of Chinook by age. For example, using this dataset, we can identify the largest age group in Chinook.
Key observations
The largest age group in Chinook, MT was for the group of age 10 to 14 years years with a population of 150 (10.27%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Chinook, MT was the 20 to 24 years years with a population of 35 (2.40%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Chinook Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Since 2014, the California Department of Water Resources (DWR) has conducted annual Chinook salmon redd surveys. The objective of this data collection effort is to quantify and understand potential shits in redd distribution and potential habitat differences between historic and restored sites. The redd surveys are conducted in the uppermost 16 miles of the lower Feather River though have been concentrated in the uppermost two miles of the lower Feather River in, and adjacent to the Gravel Supplementation Areas (GSAs). Redd surveys are conducted less frequently in the 14 miles downstream of the GSAs. Surveys typically begin in mid-September at the onset of spawning and generally conclude at the end of November. This dataset represents an extensive time series that could be used to identify habitat conditions where Chinook salmon spawn, how these conditions have changed over time, especially in areas where restoration has occurred. These data were published to support the Healthy Rivers and Landscapes Program.
This dataset provides information about the number of properties, residents, and average property values for Chinook Court cross streets in Xenia, OH.
The Chinook database was created as an alternative to the Northwind database. It represents a digital media store, including tables for artists, albums, media tracks, invoices and customers.
The Chinook database is available on GitHub. It’s available for various DBMSs including MySQL, SQL Server, SQL Server Compact, PostgreSQL, Oracle, DB2, and of course, SQLite.