데이터셋 상세
미국
Connecticut NWI Wetlands 2024
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연관 데이터
Wetland Types
공공데이터포털
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Wetland Inventory
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Wetland General Types
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Louisiana and Lower Mississippi River 2014 ESI HABITAT Polygons
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This data set contains sensitive biological resource data for Sargassum in Louisiana. Vector polygons in this data set represent areas of known Sargassum aggregation. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Louisiana. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the BENTHIC data layer, part of the larger Louisiana ESI database, for additional habitat information.
Wetlands Ecological Integrity Depth To Water Data - Florissant Fossil Beds National Monument 2009-2019
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Wetlands Ecological Integrity Depth to Water Logger data from 2009-2019 at Florissant Fossil Beds National Monument. This includes Raw dataset (primarily hourly), daily summaries, weekly summaries, and monthly summaries. Included in the data package are exploratory data analysis figures at the daily, weekly and monthly time steps. Lastly included is the R code used to extract the depth to water logger data from the National Park Service Aquarius data system, and to create the exploratory data analysis figures.
Functional Assessment of Great Lakes Coastal Wetlands 2016-2018
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This dataset is the result of a collaboration between the US Geological Survey Great Lakes Science Center and the Great Lakes Coastal Wetland Monitoring Program (CWMP). It contains information on habitat structure, water quality, vegetation, fish, and fish prey in Great Lakes coastal wetlands in the spring and fall from 2016 to 2018. The methods and resulting data mirror the CWMP's standard coastal wetland assessments.
Dataset: CHARACTERIZING THE EXTENT OF SPATIALLY INTEGRATED FLOODPLAIN AND WETLAND SYSTEMS IN THE WHITE RIVER, INDIANA, USA
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All data in this paper was acquired via publicly available sites and processed as described in the manuscript. The following data links are provided: Spatial Flood Extent data available from the USGS (Morlock et al. 2008). https://pubs.usgs.gov/of/2008/1322/ National Wetlands Inventory data available from the US FWS https://www.fws.gov/wetlands/data/Mapper.html National Hydrography Dataset available from the USGS (National Hydrography product page) https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products Federal Emergency Management Agency flood insurance data https://www.fema.gov/data-feeds Soil-Based Floodplain Map (Sangwan and Merwade 2015) https://purr.purdue.edu/publications/2430/1. This dataset is associated with the following publication: Lane, C., A. Hall, E. D'Amico, N. Sangwan, and V. Merwade. Characterizing the Extent of Spatially Integrated Floodplain and Wetland Systems in the White River, Indiana, USA. JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 53(4): 774-790, (2017).
Wadeable Stream Habitat Data Integrated from Multiple Monitoring Programs for the US from 2000-2022
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Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard (Scully et al., 2023b). The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection events for a total of ~200,000 measurements. Measurements include reach characteristics (sampled reach length, channel gradient, sinuosity), channel dimensions (bankfull width and height, average bankfull width to depth ratio, mean thalweg depth, average wetted width), channel substrate particle sizes (percent fines, percent bedrock, fine sediment percentiles), pools (residual pool depth, pool tail fines), bank characterizations (angle), and water quality/chemistry (specific conductance, pH, specific conductance, turbidity, total nitrogen, total phosphorous). The dataset consists of 4 csv files: 'RecordLevel.csv', 'Location.csv', 'Event.csv', and 'MeasurementOrFact.csv'. The 4 csv data tables may be linked in a database structure using the 'entity relationship diagram.jpg' or by linking the following: Join RecordLevel primary key 'datasetID' to Location foreign key 'datasetID'. Join Location primary key 'locationID to Event foreign key 'locationID'. Join Event primary key 'eventID' to MeasurementOrFact foreign key 'eventID'. An analysis-ready file ('AnalysisStreamHabitatMonitoringMetricDataset.csv') is also published for user convenience.
2020 Aquatic Areas - Upper Mississippi River System - Pool 09
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois River from its confluence with the Mississippi to Joliet, IL.
2020 Aquatic Areas - Upper Mississippi River System - Pool 09
공공데이터포털
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois River from its confluence with the Mississippi to Joliet, IL.