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91 results for “trawl”
Sacramento trawl – Genetic Determination of Population of Origin 2017-2023
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 – Genetic Determination of Population of Origin 2017-2023
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
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
Interagency Ecological Program: Zooplankton and water quality data in the San Francisco Estuary collected by the Summer Townet and Fall Midwater Trawl monitoring programs.
The Interagency Ecological Program’s (IEP) Summer Townet Survey (STN) and Fall Midwater Trawl (FMWT) are two long-term monitoring projects conducted by the California Department of Fish and Wildlife (CDFW) to monitor fish abundance and distribution trends in the San Francisco Estuary (SFE) since 1959 and 1967, respectively. Starting in 2005, zooplankton monitoring was added and paired with fish tows to investigate food availability for young fishes. Food limitation has been a long-term issue and a focus of the Pelagic Organism Decline (POD) studies that began in 2005. By 2011, STN routinely conducted zooplankton monitoring at 40 stations, and FMWT at 32 stations in the upper SFE from Carquinez Strait to the Sacramento Deep Water Ship Channel and into the South Delta. STN samples every other week from June to August and FMWT samples once monthly from September to December. Both projects collect mesozooplankton samples using a modified Clarke-Bumpus (CB) net to target copepods and cladocerans, and FMWT also samples macrozooplankton (i.e. mysids and amphipods) using a mysid net. Flowmeters are used to measure the volume sampled to determine zooplankton catch per unit effort. Environmental variables such as water temperature, turbidity, secchi, and electrical conductivity are collected with each zooplankton sample. Concurrent fish and zooplankton tows conducted by STN and FMWT have allowed for comparisons of fish diet to the available zooplankton prey at the time of collection.
Interagency Ecological Program: Fish catch and associated water quality for the Fall Midwater Trawl Survey, Sacramento-San Joaquin Delta, 1967-2024
The Interagency Ecological Program’s (IEP) Fall Midwater Trawl Survey (FMWT) is a long-term monitoring survey conducted by the California Department of Fish and Wildlife (CDFW) and has sampled annually since its inception in 1967, with the exceptions of 1974 and 1979, when sampling was not conducted. The FMWT was initiated to determine the relative abundance and distribution of age-0 Striped Bass (Morone saxatilis) in the San Francisco Estuary (California, United States), but the data has also been used for other upper estuary pelagic species, including Delta Smelt (Hypomesus transpacificus), Longfin Smelt (Spirinchus thaleichthys), American Shad (Alosa sapidissima), Splittail (Pogonichthys macrolepidotus), and Threadfin Shad (Dorosoma petenense). The FMWT currently samples 130 stations each month from September to December and a subset of this data is used to calculate an annual abundance index. These 130 stations range from San Pablo Bay upstream to Stockton on the San Joaquin River, and West Sacramento on the Sacramento Deep Water Ship Channel. FMWT sampling data includes 193 unique station locations throughout the San Francisco Estuary; 63 are not currently sampled. Most stations no longer sampled occur in South and Central San Francisco Bay (1968-1979), with others located in San Pablo Bay and upstream into the Delta. There are catch records for stations that were sampled only once. Data users are encouraged to look at station frequency over time to understand when and where sampling occurred. Sampling takes approximately 14 days per month to complete. Historically, FMWT sampling occasionally began as early as July (1972) or August (1968-1973, 1993-1994, 1996-1997) and sometimes continued past December to March (1968-1973, 1978, 1991-2001) or beyond (1992-1995). The Spring Midwater Trawl (SMWT) was a modified survey created to continue sampling January-March to track movements of mature adult delta smelt from 1991-2001. SMWT was replaced in 2002 with the more e
Interagency Ecological Program San Francisco Estuary Spring Kodiak Trawl Survey 2002 - 2021
The Interagency Ecological Program San Francisco Estuary Spring Kodiak Trawl Survey was initiated by the California Department of Fish and Wildlife (CDFW) in 2002 to improve the detection rate of pre-spawning and mature Delta Smelt (hypomesus transpacificus). The survey began as the Spring Midwater Trawl Survey, an extension of the Fall Midwater Trawl Survey, in 1991 to assist with water management and export decisions in relation to the distribution of pre-spawning Delta Smelt. Net evaluations studies compared the relative catch efficiency of 3 types of nets and found that the Kodiak net was most effective for Sampling adult Delta Smelt. Objectives of SKT are to improve the ability to detect Delta Smelt, obtain maturity status for adult Delta Smelt, and provide results to scientist and managers on a near real-time basis to ais in resource management. SKT operates 6 monthly surveys December through May each lasting 4-5 days in length. Each survey, 40 fix sample locations are sampled using a standard 10 minute Kodiak trawl with a total length of 65 feet and a fully expanded mouth opening of 25 feet by 6 feet. The volume of water sampled is estimated using a General Oceanics flowmeter placed over the side of the boat. The net is constructed of green or black variable mesh ranging in dimension from 2 inches knoteted stretched mesh at the mouth and decreasing by ½ inch through a series of 5 panels to ¼ inch knotless stretched mesh at the cod-end. All fish sampled are identified to species and enumeration, Delta Smelt are staged in the field. At each station, environmental and water quality data are also collected, and include: temperature, electrical conductivity (normalized @ 25°C), water clarity, and tidal condition.
Zooplankton and micronekton abundance using an Isaacs-Kidd Midwater trawl on Northeast U.S. Shelf Long Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2023
During Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, acoustic backscattering layers were identified using multifrequency echosounders and were targeted for collection of zooplankton and micronekton using an Isaacs-Kidd Midwater Trawl. On each cruise, trawling was conducted at at least three stations, including the one at the shelfbreak front, one inshore of the front, and one offshore of the front. The catches from the trawls were preserved on ship and later identified to the lowest possible taxonomic level using a dissecting microscope. Each identified taxon was counted to provide net total abundance by taxon. Trawling was initiated in spring 2023 and is ongoing.
Fisheries independent trawl survey data of fish biomass on North American and European oceanic shelves.
<p>Publicly available scientific bottom trawl survey data, primarily sampling demersal commercial species, were obtained from the Northeast Pacific and North Atlantic shelf regions in 2021. The final dataset contains approx. 197,000 unique tows and includes data from 1970 to 2019 (166,000 tows between 1980-2015). For each tow in each survey, we selected all teleost and elasmobranch species and obtained species weight. We corrected these weights for differences in sampling area (in km2) and trawl gear catchability.</p> <p>The data processing scripts and individual survey data can be found on Github (DOI: 10.5281/zenodo.7992482). The data processing scripts are modified based on earlier work from Pinsky et al. (2013) and Maureaud et al. (2019).</p> <p>If the correction for gear catchability is not important, it is recommended to use the FishGlob database (DOI: 10.5281/zenodo.7484547).</p> <p>Please contact Daniel van Denderen (pdvd@aqua.dtu.dk) for questions.</p> <p><strong>Column names</strong><br> Haul_id: unique haul identifyer<br> Survey_Region: survey name or name of ecoregion (depending on survey)<br> Gear: gear information (only included for northeast Atlantic region). Gear information is available for other regions. See original survey description (sources in manuscript).<br> Year: sampling year<br> Month: sampling month<br> Longitude: longitude (EPSG:4326)<br> Latitude: latitude (EPSG:4326)<br> Swept_area: estimate of swept area of survey gear (only included for northeast Atlantic region)<br> Bottom_depth: bottom depth in meters (as recorded in the survey data)<br> Family: taxonomic family of the teleost/elasmobranch<br> Name: species name (or higher taxonomic grouping)<br> kg_km2: wet weight (kilogram) per unit of swept area (km2)<br> kg_km2_corrected: wet weight (kilogram) per unit of swept area (km2) corrected for trawl gear catchability<br> F_type: fish type (demersal or pelagic)<br> Trophic_lev: Species-specific trophic level information</p> <p><br> <strong>Data uncertainties</strong><br> Data have predominantly been analysed at the community level and between 1980 and 2015. Any species-specific inferences may need further checking.</p> <p>To reduce the effect of potential outlying biomass estimates, it is recommended to remove all individual observations 1.5 times less/greater than the interquantile range per survey and year based on log10-transformed biomass values.</p> <p>Please contact Daniel van Denderen (pdvd@aqua.dtu.dk) for any comments/questions.</p>
Field and Model Data for Bottom Trawling Impacts in the North Sea
<p>This dataset includes both field measurement and modeled results of bottom trawling in the North Sea for the period of 1950-2020.</p>
NWFSC fish and invertebrate diversity derived from west coast groundfish trawl program
This dataset presents the community structure of groundfish and invertebrate in the West Coast since 1977. The community structure indices include the richness and Simpson’s evenness. The raw count data is from West Coast Groundfish Bottom Trawl survey conducted by the Northwest Fisheries Science Center. The spatial coverage of this dataset is between Pt Conception, California and north of U.S.-Mexico border.
Trawling for Trolling: A Dataset
<p>This dataset contains 12490 rows of social media content samples distributed between Hate Speech, Derogatory, Trolling, Profanity and Normal. Data source primary from Twitter, Reddit and Wikipedia Talk pages. No metadata about posts is included.</p>
SeaPaCS graphic elaboration of the Protocol for marine micro-plastic collection and monitoring in citizen science and for building a L.A.D.I. trawling tool
<p>This is a graphic elaboration (in Italian) of the protocol "SeaPaCS deliverable - protocol for plastic monitoring in citizen science" in English and Italian is a deliverable of the SeaPaCS project (Participatory Citizen Science Against Marine Pollution), funded by IMPETUS (project ID 101058677). The protocol and the visual elaboration has been freely adapted from "<i>LADI and the Trawl</i>" by Coco Coyle with Melissa Novaceski, Emily Wells and Max Liboiron, as published by the Civic Laboratory for Environmental Action Research, August 2016. The graphic elaboration (as the protocol) in both languages, consists of three parts: 1) how to build a DIY low cost manta trawl device (LADI - Low-Tech Aquatic Detection Debris Instrument) to monitor plastic pollution, adjusted to materials availability and costs in Italy; 2) how to monitor (the sampling itself and towing procedure); and 3) how to categorize plastic debris back on land. </p>
Annual bottom trawling hours and hotspots in the Mediterranean for 2019
<p>An enhanced version of the R4AIS workflow (Galdelli et al., 2021) was used to process T-AIS data, with a poll frequency of 5 min, of fishing vessels operating in the Mediterranean Sea in 2019. Data of vessels categorized as bottom trawlers were aggregated to obtain yearly fishing hours at 0.1° and 0.5° resolution. Besides information of the number of vessels involved in the fishing activity and their nationality were retrived.</p> <p>Besides, statistically significant trawling hotspots of fishing activities in the Mediterranean were identified by the application of the Getis-Ord Gi statistic (Getis and Ord 2010) though the statistical software R using the globalG.test function (spdep package). The function computes a global test for spatial autocorrelation using a Monte Carlo simulation approach. It tests the null hypothesis of no autocorrelation against the alternative hypothesis of positive spatial autocorrelation. Then the local spatial autocorrelation was tested calculating the Gi statistic, using the local_g_perm function (dfdep package), which indicates the strength of the clustering.</p> <p>Categorization of hotspots was performed, according to the Gi value and the p-value of a folded permutation test obtained for each grid cell, as follows:</p> <ul> <li>Gi>0 and p_value <=0.01 as Very hot</li> <li>Gi>0 and p_value <=0.05 as Hot</li> <li>Gi>0 and p_value <=0.1 as Somewhat hot</li> <li>Gi<0 and p_value <=0.1 as Somewhat cold</li> <li>Gi<0 and p_value <=0.05 as Cold</li> <li>Gi<0 and p_value <=0.01 à Very cold</li> </ul> <p>Grid cells with a p-value > 0.1 were categorized as Insignificant.</p> <p> </p> <p>The present dataset includes layers of the annual bottom trawling activity and their hotspot in the Mediterranean (.shp; .csv) at both resolutions (0.1°; 0.5°)</p>
Figure 2 in Potential impacts of bottom trawling on species of skates (Rajiformes: Rajidae): the case of the Gulf of Cádiz and the Western Mediterranean
Figure 2. – Landings (kg) of Raja spp., Raja asterias, R. clavata and R. undulata from the Gulf of Cádiz (1985-2018).
Figure 1 in Potential impacts of bottom trawling on species of skates (Rajiformes: Rajidae): the case of the Gulf of Cádiz and the Western Mediterranean
Figure 1. – Marine areas included in the study: the Gulf of Cádiz and the Western Mediterranean Sea (Alboran Sea).
Figure 6 in Catch composition of trawl fisheries in Mersin Bay with emphasis on catch biodiversity
Figure 6. Cluster analysis based on CPUE (kg/h) and the distance (Bray–Curtis, UPGMA) of the catch during the fishing months.
Figure 2 in Catch composition of trawl fisheries in Mersin Bay with emphasis on catch biodiversity
Figure 2. Monthly changes in catch per unit effort (CPUE), index of relative importance (IRI), and biodiversity indices (S, species richness; H', Shannon–Wiener diversity; and J´, Pielou's evenness).
Figure 8 in Catch composition of trawl fisheries in Mersin Bay with emphasis on catch biodiversity
Figure 8. Cluster analysis based on CPUE (N/h) and the distance (Bray–Curtis, UPGMA) of the catch during the fishing months.
Fig. 3 in Sustainability of capture of fish bycatch in the prawn trawling in northeastern Brazil
Fig. 3. Correspondence analysis showing the correlation among species and criteria used to evaluate the susceptibility and resilience. Legend: Pom cor - Pomadasys corvinaeformis, Cat spi - Cathrops spixii, Ste ras - Stellifer rastrifer, Pel har - Pellona harroweri, Ste ste - Stellifer stellifer, Chi ble - Chirocentrodon bleekerianus, Lar bre - Larimus breviceps, Men ame - Menticirrhus americanus, Con nob - Conodon nobilis, Pol vir - Polidactylus virginicus, Anc spi - Anchoa spinifer, Sel set - Selene setapinnis, Iso par - Isopisthus parvipinnis, Cet ede - Cetengraulius edentulus, Anc tri - Anchoa tricolor, Sel vom - Selene vomer, Bag mar - Bagre marinus, Rep - reproductive.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.