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This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input...
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Conterminous United States,
Delaware,
District of Columbia,
Florida,
Georgia,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wisconsin,
Wyoming,
modeling,
public supply,
water use, Fewer tags
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Abstract (from http://www.tandfonline.com/doi/full/10.1080/03632415.2016.1210517): Improving quality and better availability of continuous stream temperature data allow natural resource managers, particularly in fisheries, to understand associations between different characteristics of stream thermal regimes and stream fishes. However, there is no convenient tool to efficiently characterize multiple metrics reflecting stream thermal regimes with the increasing amount of data from continuously recording data loggers. This article describes a software program packaged as a library in R to facilitate this process. With this freely available package, users will be able to quickly summarize metrics that describe five...
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Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment,...
Categories: Data;
Types: Citation;
Tags: Aquatic Biology,
Aquatic habitats,
Connecticut,
Data Visualization & Tools,
Delaware, All tags...
Fish,
Illinois,
Indiana,
Iowa,
Kentucky,
Land Use Change,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Missouri,
New Hampshire,
New Jersey,
New York,
Northeast CASC,
Ohio,
Pennsylvania,
Rhode Island,
Rivers, Streams and Lakes,
Science Tools For Managers,
USGS Science Data Catalog (SDC),
Vermont,
Virginia,
Washington D.C.,
Water, Coasts and Ice,
West Virginia,
Wildlife and Plants,
Wisconsin,
climate change,
climatologyMeteorologyAtmosphere,
drainage basins,
habitat fragmentation,
inlandWaters,
land use and land cover,
rivers,
streams,
water quality, Fewer tags
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