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All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
Categories: Data; Tags: Alewife, Bathythermograph, Benthos, Bloater, Cisco, All tags...
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These data were compiled as part of a larger study to evaluate post-stocking survival of hatchery-reared Roundtail Chub. We conducted a two year study (Dec. 2015 – Mar. 2017) in the upper Verde River at the Burnt Ranch stocking location near Paulden, Arizona. Young of year Roundtail Chub were acquired from the Arizona Research and Conservation Center in Cornville, Arizona. Passive integrated transponder (PIT) tags (BioMark, 12.5 mm 134.2 kHz FDX) were implanted into Roundtail Chub each year (n = 333, Year 1; n = 2177, Year 2) prior to stocking. Each year, fish were measured (total length, TL, mm) before release (reflected in Pre-Stocking data table). We used two methods to recapture stocked fish, one passive and...
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These data were collected as part of a methodologial comparison for collecting riparian vegetation data. Two common methods for collecting vegetation data were used: line-point intercept and 1m2 ocular quadrats (visual cover estimates). At each site and transect, both methods were used to collect cover and composition data by four different observers. The same transects and quadrats were utilized for both methods and all observers. Field data collected included percent cover for total living foliar cover, each plant species encountered, litter, dead plant material that is still standing, and ground cover features (biological soil crust, rock, sand, and fine soil particles). Line-point intercept data were collected...
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All mensuration data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mensuration Tables contain data collected from the research vessel deploying various gear used for mensuration data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mensuration are: Mensuration.csv, MS_head_rope_depth.csv, MS_FOOT_ROPE_DEPTH, MS_Primary.csv, MS_Temperature.csv, and MS_Wingspread.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time...
Categories: Data; Tags: Alewife, Bathythermograph, Benthos, Bloater, Cisco, All tags...
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Sediment particles can strongly bind metals, effectively repartitioning them from solution to a solid phase. As a result, sediments may accumulate and retain metals released to an aquatic environment. Sediment cores provide a historical record of metal inputs that can reveal anthropogenic influences (Förstner and Wittmann, 1979). Specifically, studies of sediment cores in San Francisco Bay chronicled metal inputs and suggested that legacy contamination can remain a chronic source of metals to the system owing to sediment mixing and redistribution (Hornberger and others, 1999; Van Geen and Luoma, 1999). Metals in sediments also indicate exposure levels to benthic animals through contact with, and ingestion of, bottom...
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Data were collected by the River Studies Program, Texas Parks and Wildlife Department. River Studies is an interdisciplinary river and stream assessment program. Its primary goal is to assure sufficient quantity and quality of water to maintain the natural biodiversity of aquatic ecosystems and their associated wetlands and riparian lands. The program staff works to characterize aquatic ecosystems, evaluate impacts to those systems, and determine water quantity and quality needs to address policy and regulatory issues. Results from long-term projects provide data from large geographic areas to address broad-scale policy and regulatory issues. Aquatic biological samples (fish, mussels, and benthic macroinvertebrates)...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Fish occurrence data to support high-resolution distribution models and test various community and macroecological hypotheses have not been available at the national scale. We present IchthyMaps, a database of high-quality historical fish occurrences covering fishes of the conterminous United States. Designed on the principles of metacommunity ecology, IchthyMaps is a compilation of presence records from atlases up to 1990, at the resolution of the 1:100,000 National Hydrography Database Plus (NHDPlus) inter-confluence stream segment, readily aggregated into hierarchically coarser units (e.g. hydrologic unit code 8-digit and 12-digit watersheds). IchthyMaps contains about 606,550 presence records for 1,038 species...
Categories: Data, Publication; Types: Citation; Tags: Alabama, Arizona, Arkansas, Biological Data, Biological sampling, All tags...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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These data were compiled to determine whether transient population dynamics substantially alter population growth rates of sagebrush after disturbance, impede resilience and restoration, and in turn drive ecosystem transformation. Data were collected from 2014-2016 on sagebrush population height distributions at 531 sites across the Great Basin that had burned and were subsequently reseeded by the BLM. These data include field data on sagebrush density in 6 size classes and site attributes (seeding year, sampling year, random site designation, elevation, seeding rate). Also included are modeled spring soil moisture data at each site from the year of seeding to sampling. This data release includes associated software...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Service definition used to drive the MARIS application at marisdata.org. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a "dataset" but rather links specific content of multiple states' datasets. MARIS does not capture all of the information from each state's aquatic dataset only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past, federal agency partners have provided the core funding for developing and implementing MARIS as...
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Maryland Department of Natural Resources, Information Technology Service and Inland Fisheries Service developed a data management system referred to as the Geographic Inland Fisheries Survey system (GIFS). The GIFS database contains all parameters typical of fisheries information including date, location, fish species, invertebrate species, habitat, water quality, and tournament details. The information is often oriented to sport fish surveys though not exclusively. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Abundance (organisms), Allegany County, Maryland, Anne Arundel County, Maryland, Baltimore City, Maryland, Baltimore County, Maryland, All tags...
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This data represents fish samples collected by Fisheries and Water Resource staff of the Wisconsin Department of Natural Resources between 1945 to 2014. Only electrofishing data were included in this dataset. Data include both community index sampling and targeted gamefish data from lakes, large rivers and wadeable streams. Data were restructured to meet MARIS standards. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
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Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...


map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Florida fish sampling records 1962-2000 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Kentucky fish sampling records 2000-2012 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Maryland fish sampling records 1974-2013 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Minnesota fish sampling records 1948-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Mississippi fish sampling records 1936-2010 Multistate Aquatic Resources Information System (MARIS) published 20131201 - South Carolina fish sampling records 2003-2007 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Tennessee fish sampling records 1991-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Virginia fish sampling records 1993-2012 Multistate Aquatic Resources Information System (MARIS) published 20140721 - Wisconsin fish sampling records 1945-2014 Historical Stream Fish Distribution Database for the Conterminous United States (1950-1990): IchthyMaps Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Multistate Aquatic Resources Information System (MARIS) Application Resources Hatchery-reared Roundtail Chub Data, Arizona USA Riparian vegetation data used for comparing sampling methods along the Colorado River, Grand Canyon, Arizona Demographic modeling data (including code) at various sites in the Great Basin, USA Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) Great Lakes Research Vessel Operations 1958-2018: Mensuration. (ver. 3.0, April 2019) Data for monitoring trace metals in sediment and clam tissue near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California (ver 2.0, November 2022) Data for monitoring trace metals in sediment and clam tissue near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California (ver 2.0, November 2022) Hatchery-reared Roundtail Chub Data, Arizona USA Riparian vegetation data used for comparing sampling methods along the Colorado River, Grand Canyon, Arizona Multistate Aquatic Resources Information System (MARIS) published 20131201 - Maryland fish sampling records 1974-2013 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Multistate Aquatic Resources Information System (MARIS) published 20140721 - Wisconsin fish sampling records 1945-2014 Demographic modeling data (including code) at various sites in the Great Basin, USA Multistate Aquatic Resources Information System (MARIS) published 20131201 - Kentucky fish sampling records 2000-2012 Multistate Aquatic Resources Information System (MARIS) published 20141222 - Texas fish sampling records 1987-2013 Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) Great Lakes Research Vessel Operations 1958-2018: Mensuration. (ver. 3.0, April 2019) Historical Stream Fish Distribution Database for the Conterminous United States (1950-1990): IchthyMaps Multistate Aquatic Resources Information System (MARIS) published 20131201 - Florida fish sampling records 1962-2000 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Indiana fish sampling records 1966-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Minnesota fish sampling records 1948-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Mississippi fish sampling records 1936-2010 Multistate Aquatic Resources Information System (MARIS) published 20131201 - South Carolina fish sampling records 2003-2007 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Tennessee fish sampling records 1991-2008 Multistate Aquatic Resources Information System (MARIS) published 20131201 - Virginia fish sampling records 1993-2012 Multistate Aquatic Resources Information System (MARIS) Application Resources