This data consists of every submitted service request by topic and date in Inquire Boulder, the City's Customer Service Portal. A data dictionary with descriptions of the fields included in the dataset can be downloaded here.

Boulder, CO, Ground-based Vector Magnetic Field Level 2 Data, 1.0 s Time Resolution, Station Code: (BOU), Station Location: (GEO Latitude 40.1, Longitude 254.8), USGS Network

URL: https://geoscience.data.qld.gov.au/dataset/bh016500

Context

The City of Boulder FAQ usage data consists of annual summaries that give an overview of what information the public accesses on Inquire Boulder.

Content

NOTE: Inquire Boulder went live in July, 2013. FAQ Usage data for 2013 only includes data from July through December. All subsequent years include data from January 1 to December 31.

Acknowledgements

This is public data available from the city of Boulder's Open Data Portal

Inspiration

What are the most common questions the city gets asked? Is there an opportunity to use machine learning to take the questions and point people to the right information on our website? How can we quickly develop responses to questions? Is there a role for a chat bot? How do the types of questions vary by time of year or based on other things happening in the city?

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

The following dataset from Niwot Ridge (NWT) contains population employed in service (percent of total) measurements in percent units and were aggregated to a yearly timescale.

URL: https://geoscience.data.qld.gov.au/dataset/bh024687

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

The following dataset from Niwot Ridge (NWT) contains county area measurements in squareKilometers units and were aggregated to a yearly timescale.

Values for yearly revenue to the library (REVENUE) and the new proposed property tax (PROPTAX) are calculated by adding 3.5 mills to the property's current mill levy (MILLLEVY) as of its most recent assessment (TAXYR).Information on an individual parcel can be parsed in several ways: by tax account type, municipality, whether it is in or out of the proposed library district, and whether the parcel was affected by the Marshall Fire. Addresses should be approached with some skepticism. When it comes to single family homes, one parcel means one address; however, for apartments, one parcel can mean multiple addresses. The address listed on each parcel is the one that pays the property tax, not necessarily the one associated with an address on the parcel.To further complicate the issue, parcels may also appear stacked: this is because parcel geometries related to certain tax account types are duplicated. In real terms, this could look like a condo complex (1 piece of land) having 20 residences (20 tax accounts), and thus each tax account appears as the same area (20 stacked parcels, each with different parcel numbers).Library district boundaries for the analysis were sourced from the City of Boulder's open data portal. Tax information came from the Boulder County Assessor's data portal. Analysis steps are freely available for replication and can be found in the city's GitHub repo. Analysis performed by the Enterprise Data Team within the City of Boulder's Innovation and Technology department.

TOLNet_CSL_Data is the lidar data collected by the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado as part of the Tropospheric Ozone Lidar Network (TOLNet). Data collection for this product is ongoing.In the troposphere, ozone is considered a pollutant and is important to understand due to its harmful effects on human health and vegetation. Tropospheric ozone is also significant for its impact on climate as a greenhouse gas. Operating since 2011, TOLNet is an interagency collaboration between NASA, NOAA, and the EPA designed to perform studies of air quality and atmospheric modeling as well as validation and interpretation of satellite observations. TOLNet is currently comprised of seven Differential Absorption Lidars (DIAL). Each of the lidars are unique, and some have had a long history of ozone observations prior to joining the network. Five lidars are mobile systems that can be deployed at remote locations to support field campaigns. This includes the Langley Mobile Ozone Lidar (LMOL) at NASA Langley Research Center (LaRC), the Tropospheric Ozone (TROPOZ) lidar at the Goddard Space Flight Center (GSFC), the Tunable Optical Profile for Aerosol and oZone (TOPAZ) lidar at the NOAA Chemical Sciences Laboratory (CSL) in Boulder, Colorado, the Autonomous Mobile Ozone LIDAR instrument for Tropospheric Experiments (AMOLITE) lidar at Environment and Climate Change Canada (ECCC) in Toronto, Canada, and the Rocket-city O3 Quality Evaluation in the Troposphere (RO3QET) lidar at the University of Alabama in Huntsville, Alabama. The remaining lidars, the Table Mountain Facility (TMF) tropospheric ozone lidar system located at the NASA Jet Propulsion Laboratory (JPL), and City College of New York (CCNY) New York Tropospheric Ozone Lidar System (NYTOLS) are fixed systems.TOLNet seeks to address three science objectives. The primary objective of the network is to provide high spatio-temporal measurements of ozone from near the surface to the top of the troposphere. Detailed observations of ozone structure allow science teams and the modeling community to better understand ozone in the lower-atmosphere and to assess the accuracy and vertical resolution with which geosynchronous instruments could retrieve the observed laminar ozone structures. Another objective of TOLNet is to identify an ozone lidar instrument design that would be suitable to address the needs of NASA, NOAA, and EPA air quality scientists who express a desire for these ozone profiles. The third objective of TOLNET is to perform basic scientific research into the processes create and destroy the ubiquitously observed ozone laminae and other ozone features in the troposphere. To help fulfill these objectives, lidars that are a part of TOLNet have been deployed to support nearly ten campaigns thus far. This includes campaigns such as the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission, the Korea United States Air Quality Study (KORUS-AQ), the Tracking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign, the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ), the Long Island Sound Tropospheric Ozone Study (LISTOS), and the Ozone Water–Land Environmental Transition Study (OWLETS).

NCALM Project. PI: Shane Grigsby, University of Colorado, Boulder. lidar survey of the CU-Boulder campus as part of a solar energy potential and photovoltaic planning study. The acquisition covers 45 km2 and includes East Campus, West Campus, and South Campus, as well as portions of the Flatirons and surrounding areas in multiple return, classified points. The CU Environmental Center is using the lidar data, combined with building footprint vector data from the campus GIS system, to facilitate site selection for new solar arrays. The lidar data and terrain products enables analysis of insolation using the GRASS GIS implementation of the SOLPOS 2.0 (SOLar POSition and intensity) algorithm developed and maintained by the National Renewable Energy Laboratory (NREL). This allows campus solar sites to take into account day length, position of the sun, seasonal atmospheric effects, orientation and the local shading effects from trees, buildings and other structures.

There is a Boulder County focus inherited from the Boulder Creek Critical Zone program. If you are aware of a resource worth sharing please let us know. Files are in the versatile KML format for ease of sharing. If you have trouble importing these into ArcGIS or another program just let us know.

SITE EXTENTS: Kml's that shows study site extents. The main set of extents was created by Kyotaek Hwang.

SITE: BOULDER CREEK BOULDER COUNTY More Boulder County data can be found here: https://opendata-bouldercounty.hub.arcgis.com/ Selected kmls include: - Archaeologically_Sensitive_Areas - County_Open_Space - Lakes_and_Reservoirs (included modern glaciers) - mun_wtrsheds_czo (restricted areas) - Open_space_czo - Riparian_Areas_-_2013_ERE - Road_Map_Roads

GEOLOGY - Geological map by Ogden Tweto, clipped here to Boulder Creek, geo_czo_tweto https://coloradogeologicalsurvey.org/publications/tweto-geologic-map-colorado-1979/

• Clipped Cole & Braddock geologic map

SOILS Natural Resources Conservation Service soil maps https://www.nrcs.usda.gov - soilmu_a_co643_bc (boulder County) - soilmu_a_co645_arnf (Arapaho National Forest

GLACIERS Madole's Glaciers LGM. No online source. Check licensing before using in publication

TOPOGRAPHIC Topographic Lines created but the BcCZO from 30m USGS DEM

LIDAR For Lidar: OpenTopgraphy 2010 Lidar, Snow ON Snow Off https://portal.opentopography.org/dataSearch?search=Boulder%20creek%20CZO

SITE: COAL CREEK Coal Creek Trails

URL: https://geoscience.data.qld.gov.au/dataset/bh081353

This teaching data subset contains data focused on the flooding events in 2013 in Boulder, Colorado. The subset includes publicly available data from a sources including NEON, USGS, & NOAA. See the README files in individual directories to see the provenience of each data subset. The Teaching Module & Data Activities associate with this data set can be found on the NEON Data Skills Portal.

URL: https://geoscience.data.qld.gov.au/dataset/bh081354

This dataset contains raster DEMs over Boulder Creek, CO, USA produced from WorldView-01 stereo imagery acquired on 18 September 2009 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), the filtered one is labelled as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high‐resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR‐1640894 to AJW.

URL: https://geoscience.data.qld.gov.au/dataset/cr028135

ATP 541, 549, MIM BOULDER-CASHMERE SEISMIC SURVEY

URL: https://geoscience.data.qld.gov.au/dataset/cr083591

EPM 17105, BOULDER CREEK, ANNUAL REPORT FOR PERIOD ENDING 26/3/2014

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains population (urban) measurements in number units and were aggregated to a yearly timescale.

Data are available for download at http://arcticdata.io/data/10.18739/A2MG7FX35 To download all files in the command line, run the following command in a terminal: wget -r -np -nH --cut-dirs=3 -R '\?C=' -R robots.txt http://arcticdata.io/data/10.18739/A2MG7FX35 To download only a subdirectory of the archived files, add the subdirectory to the end of the URL above. The circum-Arctic permafrost and ground ice data from Brown et al. 2002 contributes to a unified international data set that depicts the distribution and properties of permafrost and ground ice in the Northern Hemisphere (20 degrees North to 90 degrees North). This data is archived at the National Snow and Ice data center: https://nsidc.org/data/ggd318/versions/2. A subset of this dataset that represents permafrost and ground ice coverage from approximately 60 degrees North to 90 degrees north was processed and visualized for the Permafrost Discovery Gateway, an online platform that aims to make big geospatial permafrost data accessible to enable knowledge-generation by researchers and the public. The data subset was cleaned, and the geometries were reprojected and processed into GeoPackage tiles that conform to the WGS1984Quad Tile Matrix Set. The GeoPackages are then rasterized at a range of zoom levels with summarized permafrost and ground ice coverage attributes for the lower zoom levels. Researchers, policy-makers, students, and community members can explore this data dynamically of the Permafrost Discovery Gateway Imagery Viewer and overlay it with other geospatial data layers. Access the Permafrost Discovery Gateway Imagery Viewer here: https://arcticdata.io/catalog/portals/permafrost Brown, J., O. Ferrians, J. A. Heginbottom, and E. Melnikov. (2002). Circum-Arctic Map of Permafrost and Ground-Ice Conditions, Version 2 [Data Set]. Boulder, Colorado USA. National Snow and Ice Data Center. https://doi.org/10.7265/skbg-kf16. Date Accessed 08-30-2023.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains population employed in commerce (percent of total) measurements in percent units and were aggregated to a yearly timescale.