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This dataset represents 505 campsites along the Colorado River in Grand Canyon with associated debris flow probabilities calculated for approximately a 100-year period (Griffiths and others, 2004) and geomorphic attributes mapped by the U.S. Geological Survey, Grand Canyon Monitoring and Research Center (USGS-GCMRC) (Hadley and others, 2018). The campsite polygons were developed as part of a master campsite database that was a collaborative effort to maintain between the National Park Service in Grand Canyon National Park and the USGS-GCMRC. Debris flow probabilities have been added as an attribute from ungauged tributary watersheds published in 2004 (Griffiths and others, 2004). Area and percentages of campsites...
Categories: Data,
Data Release - In Progress,
Data Release - Provisional;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Colorado River,
Glen Canyon,
Glen Canyon National Recreation Area,
Grand Canyon,
These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.
The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquatic Biology,
Ecology,
USGS Science Data Catalog (SDC),
United States,
biota,
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9DSOPHD. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,766 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and...
Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P1WOQBRN. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data is are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and...
Categories: Data Release - Revised;
Tags: Aquatic Biology,
United States,
biota,
fish,
fisheries management,
Information on the sources of sediment production and amount is necessary to better understand the relationship between landscape-scale ecosystem drivers (fire, large-scale invasive species removal, recreation, oil and gas development, and grazing) and sediment loading in rivers, streams, and reservoirs. An improved understanding of the sources of sediment production and the contribution of each source to total sediment load would enable resource managers to better locate and design conservation strategies to reduce sediment loading, and improve water quality, native fish habitats, and upland vegetation cover.This project will conduct an erosion and sediment supply analysis in a portion of the Upper Green River...
Categories: Data,
Project;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CO-03,
Colorado,
Data Acquisition and Development,
Datasets/Database,
Decision Support,
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