These data were compiled for a manuscript that examines the riverine food-web structure of the Colorado River below Glen Canyon dam to its confluence with Lake Mead. Tissue from primary producers (vascular plants and algae) and consumers (aquatic invertebrates and fish) were collected before and after monsoon floods in 2006 along the 388 kilometer segment of the Colorado River in the Southwest US. Tissue samples were dried, ground, and analyzed for δ13C, δ15N, and δ2H stable isotope signatures and percent carbon and nitrogen. Analysis of these data focused on determining the proportion of terrestrial (allochthonous) vs. aquatic (autochthonous) organic matter sources at the base of the food web, trophic diversity of primary and secondary consumers, and food-chain in response to pulsed flows resulting from monsoon floods that rapidly increase streamflow and flush terrestrial detritus into the river.
This dataset reflects is for the Individual Shelter & Rescue Statistics that were reported in 2018 for the 2017 Calendar year. Although PACFA requires this data to be submitted and takes all care possible to ensure the validity of this data, we do not control, and therefore guarantee, the complete accuracy, completeness and availability of data. PACFA believes this information to be within ± 4% margin of error. The CDA-PACFA is not responsible for any issues that may arise from the use of this data.
This workbook contains spatial data on the hydrology, sedimentology, and vegetation extent within the Colorado River corridor from 60 to 78 miles (97 to 125 kilometers) downstream from Glen Canyon Dam, Arizona. In combination with the accompanying MATLAB scripts, these data were used to generate the results within the accompanying manuscript (Kasprak et al., Quantifying and Forecasting Changes in the Areal Extent of River Valley Sediment in Response to Altered Hydrology and Land Cover). Specifically, the datasets include (a) the daily mean or estimated/measured maximum discharge for the Colorado River at Lees Ferry (USGS #09380000) from 1921 to 2016, (b) the estimated daily maximum discharge for the future period 2016-2036, (c) the pre-dam hydrograph record from 1921-1963, (d) the post-dam hydrograph record from 1963-2016, and the pre- and post-dam extent of bare sand within the study reach, accounting for the influence of vegetation encroachment during that time.
These data were compiled from sampling pre-dam flood terraces and sand bar deposits of the Colorado River in Glen Canyon between Glen Canyon Dam and the Paria River confluence. This includes sand deposits from the 2008, 2012, 2013 and 2014 high flow experiments (HFE) in Marble Canyon. Sand sources from these locations were sampled in September/October of 2013 and 2014. Also, samples of suspended sediment from a selection of Paria River flash floods that preceded the 2013 and 2014 high flow experiments were collected. The suspended sediment samples were wet sieved to separate the <63-micron fraction at the Grand Canyon Monitoring and Research Center. A Niton XL3-t 955 portable XRF was used to measure the elemental concentration of half-phi grain size fractions from every sand sample. Samples were tested 3 times, for 90 seconds each, measuring the concentration of seven elements (Fe, Ca, K, Ti, Rb, Sr, and Zr). The average concentration for each element over the three tests is used in all subsequent analyses. MixSIAR Bayesian mixing model using JAGS for Markov Chain Monte Carlo simulation was used to calculate the relative contribution of Paria River- versus Glen Canyon-derived sand in Marble Canyon HFE deposits.
This dataset includes two files, 1) site -specific covariates including the presence of predators (fish), disease (Batrachochytrium dendrobatidis [Bd] - amphibian chytrid fungus), and permanence (ephemeral or permanent) of sites in Rocky Mountain National Park, Colorado. The dataset was analyzed for planned publication of a manuscript in Population Ecology, Crockett, J., E. Muths and L.L. Bailey authors. and 2) site-specific covariates for additional sites in Colorado (including those in file 1) noting the presence of toad breeding, snowpack values, Bd, permanence and elevation that are analyzed for a second planned publication by Crockett et al.
Data sets from the Colorado Department of Public Health and Environment including: Birth, death, population estimates, behavioral risk factors, birth defect data, cancer incidence, pregnancy risk assessment, injury hospitalizations, environemental and other data.
Data repository to find basic facts, roll over counties on the map of a county to get a full profile with demographics, health coverage, and health workforce information, info for how to use the data etc.
These plant and soil data were collected by Timothy M. Wertin and Sasha C. Reed in the spring, summer, and fall of 2011 at a climate manipulation experiment site near Moab, UT (38.521411, -109.470567). These data were collected to assess how warming affects leaf photosynthesis, soil CO 2 efflux, and soil chemistry in plots of ambient and warming treatments.
This ESRI geodatabase consists of 5 feature datsets with 23 individual polygon feature classes and two raster datasets. A master campsite polygon feature class represents the boundaries of campsites identified in the 1973, 1984, and 1991 campsite inventories of the Colorado River corridor in Grand Canyon, Arizona. The other polygon feature classes represent camp locations along the Colorado River corridor in Grand Canyon, Arizona during different survey periods using different surveying techniques. The raster datasets represent sub-aerial and sub-surface sandbar surfaces at 37 long term-monitoring sites between Lees Ferry and Diamond Creek, Arizona in Grand Canyon National Park, measured in September and October of 2002 and 2009 at sites where campsite areas were also surveyed and measured.
Broadband availability data dissolved by coverage level and provider and aggregated by H3 Hexagon Data (Hex8). Data current as of 06-30-2024, released by FCC 11-13-2024.
This page outlines information about the OIT-GIS Annual Data Call.
Access Colorado's 188 data folders with 1,988 services and 4,719 layers of parcel boundaries, property tax records, and GIS mapping data.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Stream locations, names, and sizes, from the Colorado Department of Transportation (CDOT).
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This contains the name and API ID for each of the census datasets on Colorado Information Marketplace published by the Business Intelligence Center (Go Code Data Team). Meant to serve as a source for all census datasets on CIM
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Locations and areas of Colorado cities, towns, municipal perimeters, and FIPS codes from the Colorado Department of Transportation (CDOT).
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Traffic counts on public roads under local jurisdiction in 2023. Provided by the CDOT.
The dataset provides users with information about airport locations and attributes and can be used for national and regional analysis applications.
Colorado Works Regional Resources layer used in Colorado Works Regional Resources web map.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset represents the building footprints for unincorporated Boulder County. The data is updated continuously from building permit records and when new aerial photography becomes available.
Community Anchor Institutions (CAI) for the State of Colorado.
These data were compiled for a manuscript that examines the riverine food-web structure of the Colorado River below Glen Canyon dam to its confluence with Lake Mead. Tissue from primary producers (vascular plants and algae) and consumers (aquatic invertebrates and fish) were collected before and after monsoon floods in 2006 along the 388 kilometer segment of the Colorado River in the Southwest US. Tissue samples were dried, ground, and analyzed for δ13C, δ15N, and δ2H stable isotope signatures and percent carbon and nitrogen. Analysis of these data focused on determining the proportion of terrestrial (allochthonous) vs. aquatic (autochthonous) organic matter sources at the base of the food web, trophic diversity of primary and secondary consumers, and food-chain in response to pulsed flows resulting from monsoon floods that rapidly increase streamflow and flush terrestrial detritus into the river.