InPort is the centralized repository of documentation (metadata) for NMFS data and the tools to access the data, as required by the Data and Information Policy Directive (https://www.fisheries.noaa.gov/webdam/download/64689249) and the Data Documentation Procedural Directive (https://www.fisheries.noaa.gov/webdam/download/64689252). As NMFS’s official metadata catalog, InPort is the single most important component in NMFS Enterprise Data Management (EDM) architecture which enables our customers to find, access and understand our vast array of data and information.. Details about FIS InPort Catalog can be found in https://inport.nmfs.noaa.gov/inport/about.
Hodgkinson P., Williams M.J. 1985. Fisheries statistics training course: lecture notes. Noumea, New Caledonia: South Pacific Commission. ix, 105 p.
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
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The Western and Central Fisheries Commission (WCPFC) have compiled a public domain version of aggregated catch and effort data using operational, aggregate and annual catch estimates data provided by Commission Members (CCMs) and Cooperating Non-members (CNMs). The data provided herein have been prepared for dissemination in accordance with the current “Rules and Procedures for the Protection, Access to, and Dissemination of Data Compiled by the Commission” or (“RAP”).
Paragraph 9 of the Rules and Procedures indicates that "Catch and Effort data in the public domain shall be made up of observations from a minimum of three vessels". However, the majority of aggregate data provided to WPCFC do not indicate how many vessels were active in each cell of data which would allow data to be directly filtered according to this rule. Instead, the individual cells where "effort" is less than or equal to the maximum value estimated to represent the activities of two vessels have been removed from the public domain data (the cells are retained with their time/area information, but all catch and effort information in these have been set to zero). Statistics showing how much data have been removed according to this RAP requirement are provided in the documentation for the longline and purse seine public domain data.
All public domain data have been aggregated by year/month and 5°x5° grid. Annex 2 of the RAP indicates that public domain aggregated catch/effort data can be made available at a higher resolution (e.g. data with a breakdown by vessel nation, and aggregated by 1°x1° grids for surface fisheries); however, if the public domain data were provided at these higher levels of resolution implementation of the RAP "three-vessel rule" with the current aggregate data set would result in too many cells being removed.
However, please note that the data that have been removed from the public domain dataset, available on this webpage, are still potentially accessible via other provisions of the RAP (refer to section 4.6 and para 34).
Each public domain zip file contains two files: (1) a CSV file containing the data; (2) a PDF file containing the field names/formats and the coverage with respect to the data file.
These data files were last updated on the 27th July 2020.
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
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The Western and Central Pacific Fisheries Commission (WCPFC) was established by the Convention for the Conservation and Management of Highly Migratory Fish Stocks in the Western and Central Pacific Ocean (WCPF Convention) which entered into force on 19 June 2004.
Data herein presents annual catch estimates specifically for FSM as a member country of the commission according to WCPFC Statistical Area from 1991 - 2016.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The database on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the elaboration of the Economic and Transversal data (19-06 - AER, Version 1.2) of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). STECF data have been related to georeferenced FAO's fishing statistical areas and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Days at sea, Fishing days, GT fishing days, kW fishing days data are provided for each available FAO fishing statistical area and GSA, by year of reference, Country, fishing technology, vessel length classes, supra region and geographical indicator. The dataset is updated yearly, as soon as new data from STECF are released. It covers a time series from 2008 to 2018.
The Commission’s Information Technology section regularly produces standard data tables with information pertaining to fisheries, permits and vessels.The number of permits, total pounds landed, total estimated gross earnings, and average estimated gross earnings per permit for all fisheries combined by year are included in this dataset. Default map view shows fisherman who fished by community residence of those fishermen.Source: Commercial Fisheries Entry Commission, Fishery StatisticsThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. For more information, see Commercial Fisheries Entry Commission, Participation and Earnings.
The Commission’s Information Technology section regularly produces standard data tables with information pertaining to fisheries, permits and vessels. Data set includes the number of permits, total pounds landed, total estimated gross earnings, average estimated gross earnings per permit for all fisheries combined by year, and the state residency of fishermen. Source: Commercial Fishery Entry Commission Fishery StatisticsThis data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. For more information, see: Commercial Fisheries Entry Commission, Participation and Earnings
The data is reported in Catch Per Unit Angler (CPUA) which is a simple calculation of the number of fish caught divided by the number of anglers targeting the fishery type within a particular 1’ block in a given period. CRFS Catch records for salmon were aggregated into 5-year bins from 2004-2022 as well as the entire period. All catch of these species were summed and attributed to the blocks (1’ x 1’ area) which were recorded during the survey interview. If multiple blocks were recorded, then the catch data was divided across all blocks indicated. Catch data is further divided into ‘kept’ and ‘released’ fish which is used to calculate a CPUA for only kept fish and a CPUA for both kept and released fish. The total number of anglers targeting ‘salmon’ in each block was calculated for each time frame. An angler represents a single person fishing in a block on a single day. The data is limited to blocks that had 3 or more reported fishing trips over the entire time period. Effort under the ‘Salmon’ trip type is when anglers indicate their primary target species as either chinook, pink, chum or sockeye salmon. Raw data from 2004 – 2015 was extracted from the Pacific States Marine Fisheries Commission (PSMFC) legacy RecFIN database. Data from 2016 – 2022 was extracted from the CDFW’s CRFS data system. The data is divided into reported catch (includes reported kept, reported released alive, and reported released dead), observed kept catch, effort and location tables. Attributes: Block: 1’ grid where the data was reported. Catch: The species or the name of the species group whose individual catch records were aggregated. Trip Type: Trip type category that includes the primary target species for the angler that was aggregated. This layer is limited to salmon effort. Other possible CRFS trip type categories, that don’t contribute to the CPUA of this layer include highly migratory, bottomfish, coastal migratory, inshore, other anadromous, invertebrates and anything. All_04_09: CPUA for both kept and released catch for 2004-2009. All_10_15: CPUA for both kept and released catch for 2010-2015. All_16_20: CPUA for both kept and released catch for 2016-2020. All_21_23: CPUA for both kept and released catch for 2021-2023. Kept_04_09: CPUA for only kept catch for 2004-2009. Kept_10_15: CPUA for only kept catch for 2010-2015. Kept_16_20: CPUA for only kept catch for 2016-2020. Kept_21_23: CPUA for only kept catch for 2021-2023. CPUA_All: CPUA for both kept and released catch for the entire 2004-2022 period. CPUA_Kept: CPUA for only kept catch for the entire 2004-2022 period. This field is used as the source of the symbology for this layer. Gray blocks represent where effort occurred, but no catch was reported. Samples: The number of individual survey samples that reported fishing in block for the entire period.
Monthly, stratified-random sampling is conducted year-round in Tampa Bay, Charlotte Harbor, Northern and Southern Indian River Lagoon, Cedar Key, Apalachicola Bay, and Jacksonville using a 183-m large haul seine. Sampling is stratified on somewhat arbitrary geographical boundaries, within which the hydrographic and habitat parameters are more similar than the estuary as a whole. In some estuaries sampling is further stratified on the presence or absence of overhanging vegetation. This monitoring effort provides long-term data on relative abundance of estuarine fish and select invertebrate species inhabiting shoreline areas. This project involves data collection, collection of biological samples, management of a long-term database, and basic data summarization. These data and biological samples are then used for FIM research projects on estuarine fish species, populations, and communities (outlined in Level II: Fish Monitoring). The data and biological samples are also used by the FMRI stock assessment group in developing stock assessments for recreationally and commercially important fish species; by other FMRI research programs (e.g., Aquatic Health, Fisheries Genetics) and by research programs from other agencies.
The data is reported in Catch Per Unit Angler (CPUA) which is a simple calculation of the number of fish caught divided by the number of anglers targeting the fishery type within a particular 1’ block in a given period. CRFS Catch records for all caught species were aggregated into 5-year bins from 2004-2022 as well as the entire period. All catch of these species were summed and attributed to the blocks (1’ x 1’ area) which were recorded during the survey interview. If multiple blocks were recorded, then the catch data was divided across all blocks indicated. Catch data is further divided into ‘kept’ and ‘released’ fish which is used to calculate a CPUA for only kept fish and a CPUA for both kept and released fish. The total number of anglers targeting any species in each block was calculated for each time frame. An angler represents a single person fishing in a block on a single day. The data is limited to blocks that had 3 or more reported fishing trips over the entire time period. Effort under the ‘All’ trip type is an aggregation of all anglers surveyed. This includes anglers from specific trip types such as highly migratory, salmon, bottomfish, coastal migratory, inshore, other anadromous, invertebrates and anything.Raw data from 2004 – 2015 was extracted from the Pacific States Marine Fisheries Commission (PSMFC) legacy RecFIN database. Data from 2016 – 2022 was extracted from the CDFW’s CRFS data system. The data is divided into reported catch (includes reported kept, reported released alive, and reported released dead), observed kept catch, effort and _location tables. Attributes:Block: 1’ grid where the data was reported.Catch: The species or the name of the species group whose individual catch records were aggregated. Trip Type: Trip type category that includes the primary target species for the angler that was aggregated. This layer is an aggregation of all angler effort. All_04_09: CPUA for both kept and released catch for 2004-2009. All_10_15: CPUA for both kept and released catch for 2010-2015. All_16_20: CPUA for both kept and released catch for 2016-2020. All_21_23: CPUA for both kept and released catch for 2021-2023. Kept_04_09: CPUA for only kept catch for 2004-2009. Kept_10_15: CPUA for only kept catch for 2010-2015. Kept_16_20: CPUA for only kept catch for 2016-2020. Kept_21_23: CPUA for only kept catch for 2021-2023. CPUA_All: CPUA for both kept and released catch for the entire 2004-2022 period. CPUA_Kept: CPUA for only kept catch for the entire 2004-2022 period. This field is used as the source of the symbology for this layer. Gray blocks represent where effort occurred, but no catch was reported. Samples: The number of individual survey samples that reported fishing in block for the entire period.
Farman R.S. 1987. South Pacific Commission fisheries observer manual. Noumea, New Caledonia: South Pacific Commission. 76 p.
The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
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The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.
One type of electronic monitoring of Alaska groundfish catch has been conducted by Pacific States Marine Fisheries Commission using an electronic monitoring (EM) system to collect catch accounting data using video and sensor data of selected fishing vessels in Alaska. Video recordings of fish catch composition aboard selected vessels are collected are stored on hard drives in an effort to track vessel catch and discards to accurately debit discarded catch from the individual fishing quota (IFQ) account of each account holder. This information is collected in place of the sampling for species composition of the catch conducted by human at-sea catch monitors or observers. Reviewers of the videos enter data from the drives and maintain data integrity and quality. Raw, reviewed electronic monitoring data collected by Pacific States Marine Fisheries Commission must have additional data items added to it to conform to the standard format of data normally collected by Alaska observers in order for the data to be processed by catch accounting of the NMFS Alaska Regional Office. The EM_OBSINT tables contain these transformed data. These data, like data collected by Alaska groundfish observers, and transmitted electronically to the AFSC and are the source data for those interfaces used for fishery management, scientific inquiry and fishing activity monitoring by industry.
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Fishery Production: Value data was reported at 49,721.085 MXN mn in 2023. This records an increase from the previous number of 48,892.398 MXN mn for 2022. Fishery Production: Value data is updated yearly, averaging 27,128.099 MXN mn from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 49,721.085 MXN mn in 2023 and a record low of 15,796.078 MXN mn in 2006. Fishery Production: Value data remains active status in CEIC and is reported by National Commission for Aquaculture and Fisheries. The data is categorized under Global Database’s Mexico – Table MX.B042: Fishery Production: Value by State.
The 1996 harvest was unprecedented in a number of ways. It was the first time that all three nations in the Skeena watershed have worked together on such a huge scale. It was the largest harvest undertaken on Babine Lake in modern times in terms of the number of fish taken and also in terms of the number of people who were employed. Although a few improvements are needed for future years it should be noted that the amount of knowledge and experience that was gained this year, especially by those who managed the harvest, was invaluable.
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Mexico Fishery Production: Live Weight: Baja California data was reported at 295,049.688 kg th in 2023. This records an increase from the previous number of 278,994.350 kg th for 2022. Mexico Fishery Production: Live Weight: Baja California data is updated yearly, averaging 137,047.258 kg th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 295,049.688 kg th in 2023 and a record low of 82,061.304 kg th in 2007. Mexico Fishery Production: Live Weight: Baja California data remains active status in CEIC and is reported by National Commission for Aquaculture and Fisheries. The data is categorized under Global Database’s Mexico – Table MX.B043: Fishery Production: Volume by State.
http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
The data published on this page (temporal coverage 2003-2016) are the result of the DCF data calls to support the evaluation of fishing effort regimes. The data provided by EU Member States during the last data call were analyzed by the Scientific, Technical and Economic Committee for Fisheries (STECF) Expert Working Group 17-05. Before accessing the data we strongly encourage to read the STECF report 17-09 (https://stecf.jrc.ec.europa.eu/reports). Please note that data are structured by effort EU management regime (or management area), signified by the annex field; therefore, data must not be summed across different annexes otherwise multiple counting of the same effort or catch values may result. Disclaimer: Although the data published on this page have been assessed by STECF, the quality and completeness of the data are under the responsibility of the EU Member States.
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Mexico Fishery Production: Landed Weight: Zacatecas data was reported at 27.400 kg th in 2023. This records a decrease from the previous number of 91.174 kg th for 2022. Mexico Fishery Production: Landed Weight: Zacatecas data is updated yearly, averaging 2,004.387 kg th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 3,830.004 kg th in 2017 and a record low of 27.400 kg th in 2023. Mexico Fishery Production: Landed Weight: Zacatecas data remains active status in CEIC and is reported by National Commission for Aquaculture and Fisheries. The data is categorized under Global Database’s Mexico – Table MX.B043: Fishery Production: Volume by State.
U.S. Government Workshttps://www.usa.gov/government-works
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PURSE SEINE fishery data compiled by the Western and Central Pacific Fisheries Commission (WCPFC). The WCPFC have compiled a public domain version of aggregated catch and effort data using operational, aggregate and annual catch estimates data provided by Commission Members (CCMs) and Cooperating Non-members (CNMs).
Data cover 1950 to 2021 and are grouped by 1°x1° latitude/longitude grids, year and month.
The data are described here:
https://www.wcpfc.int/public-domain
InPort is the centralized repository of documentation (metadata) for NMFS data and the tools to access the data, as required by the Data and Information Policy Directive (https://www.fisheries.noaa.gov/webdam/download/64689249) and the Data Documentation Procedural Directive (https://www.fisheries.noaa.gov/webdam/download/64689252). As NMFS’s official metadata catalog, InPort is the single most important component in NMFS Enterprise Data Management (EDM) architecture which enables our customers to find, access and understand our vast array of data and information.. Details about FIS InPort Catalog can be found in https://inport.nmfs.noaa.gov/inport/about.