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1930-1932 Gill net data from Lake Michigan
These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.
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1930-1932 Gill net data from Lake Michigan
공공데이터포털
These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.
Catch and Effort Data for Cisco and Lake Whitefish Commercial Gill Net Fisheries in State of Michigan Waters of Lakes Superior, Michigan, and Huron During 1929–1970
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This data release presents catch and effort data for Cisco Coregonus artedi and Lake Whitefish Coregonus clupeaformis commercial gill net fisheries in State of Michigan waters of Lakes Superior, Michigan, and Huron during 1929-1970. The data were used to determine if Cisco and Lake Whitefish relative abundance (commercial gill net catch per effort) were correlated (positive and negative) during the historical period. The file is in .csv format and contains columns for: (1) lake (LAKE); (2) commercial fishery management unit (MU); (3) year (YEAR); (4) gill net material used to target Lake Whitefish (WF_MAT); (5) gill net material used to target Cisco (CS_MAT); (6) gill net conversion factors (multipliers) used to convert effort into linen and cotton gill net equivalents for Lake Whitefish (WF_CF); (7) gill net conversion factors (multipliers) used to convert effort into linen and cotton gill net equivalents for Cisco (CS_CF); (8) catch (kg) of Lake Whitefish (WF_KG); (9) catch (kg) of Cisco (CS_KG); (10) corrected effort (km of net) for Lake Whitefish (WF_KM); (11) corrected effort (km of net) for Cisco (CS_KM); (12) corrected catch per effort (kg per km of net) for Lake Whitefish (WF_CPE); (13) corrected catch per effort (kg per km of net) for Cisco (CS_CPE); (14) loge-transformed corrected catch per effort for Lake Whitefish (LN_WF_CPE); (15) loge-transformed corrected catch per effort for Cisco (LN_CS_CPE); (16) standardized Z-scores based on loge-transformed corrected catch per effort for Lake Whitefish (WF_Z); (17) standardized Z-scores based on loge-transformed corrected catch per effort for Cisco (CS_Z); and (18) whether individual data points were removed prior to analyses based on values of corrected effort for either species (i.e., WF_KM or CS_KM) that fell outside the 2.5-97.5 percentile range for all available unit- and species-specific effort data pooled (E_FILTER). Gill net conversion factors were required because different gill net materials with different efficiencies were used throughout the historical period. Efficiencies increased over time with the introduction of each new gill net material (i.e., linen and cotton to nylon-multifilament to nylon-monofilament). All corrected data were expressed as linen and cotton gill net equivalents. To express data as linen and cotton gill net equivalents, nylon-monofilament and nylon-multifilament gill net effort were multiplied by species-, lake-, and year-specific gill net conversion factors (WF_CF and CS_CF). Efficiency curves can be generated for each species and lake by plotting gill net conversion factors over time (i.e., WF_CF and CS_CF vs. YEAR). It is worth noting that gill net conversion factors (WF_CF and CS_CF) were based on data collected prior to increases in water clarity throughout all three lakes and relative efficiencies may have changed in recent years. We encourage users to exercise caution when applying these conversion factors to more recent data (post-1970s). The effort filter was used to ensure that individual data points used for analyses (i.e., paired Cisco–Lake Whitefish catch per effort) were not based on unusually high or low levels of targeted effort for either species.
Catch and Effort Data for Cisco and Lake Whitefish Commercial Gill Net Fisheries in State of Michigan Waters of Lakes Superior, Michigan, and Huron During 1929–1970
공공데이터포털
This data release presents catch and effort data for Cisco Coregonus artedi and Lake Whitefish Coregonus clupeaformis commercial gill net fisheries in State of Michigan waters of Lakes Superior, Michigan, and Huron during 1929-1970. The data were used to determine if Cisco and Lake Whitefish relative abundance (commercial gill net catch per effort) were correlated (positive and negative) during the historical period. The file is in .csv format and contains columns for: (1) lake (LAKE); (2) commercial fishery management unit (MU); (3) year (YEAR); (4) gill net material used to target Lake Whitefish (WF_MAT); (5) gill net material used to target Cisco (CS_MAT); (6) gill net conversion factors (multipliers) used to convert effort into linen and cotton gill net equivalents for Lake Whitefish (WF_CF); (7) gill net conversion factors (multipliers) used to convert effort into linen and cotton gill net equivalents for Cisco (CS_CF); (8) catch (kg) of Lake Whitefish (WF_KG); (9) catch (kg) of Cisco (CS_KG); (10) corrected effort (km of net) for Lake Whitefish (WF_KM); (11) corrected effort (km of net) for Cisco (CS_KM); (12) corrected catch per effort (kg per km of net) for Lake Whitefish (WF_CPE); (13) corrected catch per effort (kg per km of net) for Cisco (CS_CPE); (14) loge-transformed corrected catch per effort for Lake Whitefish (LN_WF_CPE); (15) loge-transformed corrected catch per effort for Cisco (LN_CS_CPE); (16) standardized Z-scores based on loge-transformed corrected catch per effort for Lake Whitefish (WF_Z); (17) standardized Z-scores based on loge-transformed corrected catch per effort for Cisco (CS_Z); and (18) whether individual data points were removed prior to analyses based on values of corrected effort for either species (i.e., WF_KM or CS_KM) that fell outside the 2.5-97.5 percentile range for all available unit- and species-specific effort data pooled (E_FILTER). Gill net conversion factors were required because different gill net materials with different efficiencies were used throughout the historical period. Efficiencies increased over time with the introduction of each new gill net material (i.e., linen and cotton to nylon-multifilament to nylon-monofilament). All corrected data were expressed as linen and cotton gill net equivalents. To express data as linen and cotton gill net equivalents, nylon-monofilament and nylon-multifilament gill net effort were multiplied by species-, lake-, and year-specific gill net conversion factors (WF_CF and CS_CF). Efficiency curves can be generated for each species and lake by plotting gill net conversion factors over time (i.e., WF_CF and CS_CF vs. YEAR). It is worth noting that gill net conversion factors (WF_CF and CS_CF) were based on data collected prior to increases in water clarity throughout all three lakes and relative efficiencies may have changed in recent years. We encourage users to exercise caution when applying these conversion factors to more recent data (post-1970s). The effort filter was used to ensure that individual data points used for analyses (i.e., paired Cisco–Lake Whitefish catch per effort) were not based on unusually high or low levels of targeted effort for either species.
Fisheries-dependent data for Cisco in Green Bay of Lake Michigan and Saginaw Bay of Lake Huron between 1929 and 1970
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This data release presents part of historical fisheries-dependent data for Cisco (Coregonus artedi) in Green Bay of Lake Michigan and Saginaw Bay of Lake Huron collected by scientists from U.S. Geological Survey's Great Lakes Science Center, including three tables for monthly Cisco-catch and fishing-effort data and two tables for biological data of Cisco individuals. The monthly Cisco-catch and fishing-effort data tables are for small-mesh gill-net fisheries in Green Bay and Saginaw Bay (GBSB_GN.csv), pound-net fisheries in Green Bay and Saginaw Bay (GBSB_PD.csv), and shallow trap-net fishery in Saginaw Bay (SB_ST.csv) in the period 1929–1970.

The biological data of Cisco individuals are from historical Saginaw Bay Cisco scale collections of 1942,1945, 1946, 1948, and 1953. These Ciscoes were caught by commercial trap-net fishing carried out by Bay Port Fish Company, located in Bay Port, Michigan. The table “SB_Scale_Collection.csv” includes data associated with the commercial trap-net fishing operations. The table “SB_Scale_Bio.csv” includes biological data (length, weight, sex, maturity) recorded on scale envelopes, and age (i.e., number of annuli on the scale) and back-calculated total length at annulus formation for a subset of these fish samples.

For questions about availability and physical and digital access for the historical fisheries-dependent data collected by scientists from the Great Lakes Science Center, reach out to the Science Center.
Fisheries-dependent data for Cisco in Green Bay of Lake Michigan and Saginaw Bay of Lake Huron between 1929 and 1970
공공데이터포털
This data release presents part of historical fisheries-dependent data for Cisco (Coregonus artedi) in Green Bay of Lake Michigan and Saginaw Bay of Lake Huron collected by scientists from U.S. Geological Survey's Great Lakes Science Center, including three tables for monthly Cisco-catch and fishing-effort data and two tables for biological data of Cisco individuals. The monthly Cisco-catch and fishing-effort data tables are for small-mesh gill-net fisheries in Green Bay and Saginaw Bay (GBSB_GN.csv), pound-net fisheries in Green Bay and Saginaw Bay (GBSB_PD.csv), and shallow trap-net fishery in Saginaw Bay (SB_ST.csv) in the period 1929–1970.

The biological data of Cisco individuals are from historical Saginaw Bay Cisco scale collections of 1942,1945, 1946, 1948, and 1953. These Ciscoes were caught by commercial trap-net fishing carried out by Bay Port Fish Company, located in Bay Port, Michigan. The table “SB_Scale_Collection.csv” includes data associated with the commercial trap-net fishing operations. The table “SB_Scale_Bio.csv” includes biological data (length, weight, sex, maturity) recorded on scale envelopes, and age (i.e., number of annuli on the scale) and back-calculated total length at annulus formation for a subset of these fish samples.

For questions about availability and physical and digital access for the historical fisheries-dependent data collected by scientists from the Great Lakes Science Center, reach out to the Science Center.
Bottom-trawl and gill-net data from the Upper Great Lakes, collected by R/V Cisco, 1952–1962
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The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V Cisco. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively.

This data release is part of the project "Historical habitat use by Coregonus artedi in the Upper Great Lakes and critical embayments" funded by Environmental Protection Agency's Great Lakes Restoration Initiative. Due to the scope of this project, the catch tables (GN_Catch.csv and BT_Catch.csv) only include data for alewife (Alosa pseudoharengus), rainbow smelt (Osmerus mordax), and cisco (Coregonus artedi). LWSM data tables (GN_Fish.csv and BT_Fish.csv) only include data for cisco. Additional data collected from the surveys are archived at the Great Lakes Science Center.
Bottom-trawl and gill-net data from the Upper Great Lakes, collected by R/V Cisco, 1952–1962
공공데이터포털
The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V Cisco. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively.

This data release is part of the project "Historical habitat use by Coregonus artedi in the Upper Great Lakes and critical embayments" funded by Environmental Protection Agency's Great Lakes Restoration Initiative. Due to the scope of this project, the catch tables (GN_Catch.csv and BT_Catch.csv) only include data for alewife (Alosa pseudoharengus), rainbow smelt (Osmerus mordax), and cisco (Coregonus artedi). LWSM data tables (GN_Fish.csv and BT_Fish.csv) only include data for cisco. Additional data collected from the surveys are archived at the Great Lakes Science Center.
Northern Lake Michigan Gillnet Assessment 1998-2024
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Annual spring (May) and fall (late October through early November) gillnet assessment surveys were conducted by researchers at the USGS Great Lakes Science Center (GLSC) in northern Lake Michigan, including the Northern Refuge, between 1998-2024. Total length, weight, sex, maturity, and sea lamprey wounds were recorded for each lake trout and burbot caught in the gill nets. Lake trout were aged: (1) by decoding information on an extracted coded wire tag; (2) using fin clip information; or (3) enumerating annuli on a maxilla bone. Burbot were aged by enumerating annuli on an otolith. Catch of both lake trout and burbot have been recorded for each of the gill nets that have been set.
Northern Lake Michigan Gillnet Assessment 1998-2023
공공데이터포털
Annual spring (May) and fall (late October through early November) gillnet assessment surveys were conducted by researchers at the USGS Great Lakes Science Center (GLSC) in northern Lake Michigan, including the Northern Refuge, between 1998-2023. Total length, weight, sex, maturity, and sea lamprey wounds were recorded for each lake trout and burbot caught in the gill nets. Lake trout were aged: (1) by decoding information on an extracted coded wire tag; (2) using fin clip information; or (3) enumerating annuli on a maxilla bone. Burbot were aged by enumerating annuli on an otolith. Catch of both lake trout and burbot have been recorded for each of the gill nets that have been set. To study the dynamics of the lake trout and burbot populations in the Northern Refuge, these gillnet survey data have been analyzed and the results interpreted.
Northern Lake Michigan Gillnet Assessment 1998-2023
공공데이터포털
Annual spring (May) and fall (late October through early November) gillnet assessment surveys were conducted by researchers at the USGS Great Lakes Science Center (GLSC) in northern Lake Michigan, including the Northern Refuge, between 1998-2023. Total length, weight, sex, maturity, and sea lamprey wounds were recorded for each lake trout and burbot caught in the gill nets. Lake trout were aged: (1) by decoding information on an extracted coded wire tag; (2) using fin clip information; or (3) enumerating annuli on a maxilla bone. Burbot were aged by enumerating annuli on an otolith. Catch of both lake trout and burbot have been recorded for each of the gill nets that have been set. To study the dynamics of the lake trout and burbot populations in the Northern Refuge, these gillnet survey data have been analyzed and the results interpreted.