This set of data files was acquired under USDOT FHWA cooperative agreement DTFH61-11-H-00025 as one of the four test data sets acquired by the USDOT Data Capture and Management program.The freeway data consists of two months of data (Sept 15 2011 through Nov 15 2011) from dual-loop detectors deployed in the main line and on-ramps of a Portland-area freeway. The section of I-205 NB covered by this test data set is 10.09 miles long and the section of I-205 SB covered by this test data set is 12.01 miles long The data includes: flow, occupancy, and speed.

Street centerline network for the City of Portland, Multnomah County, Clackamas County and Washington County developed for geocoding purposes. This dataset has a character (textual) street number field to better allow for locating addresses that have leading zeros (e.g., 0680 SW Bancroft St.). This dataset does not yet include the data fields and structure necessary for performing routing operations.-- Additional Information: Category: Transportation - Streets Purpose: Provides a dataset including all address segments to be used for geocoding (locating) addresses in the Portland Region. Includes the capability to search those addresses whose street number begins with a zero. Update Frequency: Weekly-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=52062

This set of data files was acquired under USDOT FHWA cooperative agreement DTFH61-11-H-00025 as one of the four test data sets acquired by the USDOT Data Capture and Management program.The freeway data consists of two months of data (Sept 15 2011 through Nov 15 2011) from dual-loop detectors deployed in the main line and on-ramps of a Portland-area freeway. The section of I-205 NB covered by this test data set is 10.09 miles long and the section of I-205 SB covered by this test data set is 12.01 miles long The data includes: flow, occupancy, and speed.

This set of data files was acquired under USDOT FHWA cooperative agreement DTFH61-11-H-00025 as one of the four test data sets acquired by the USDOT Data Capture and Management program. This is the primary loop detector data table. It contains one-minute volume, occupancy, and data quality flags for the arterial loop detector data.

Analysis of ‘Portland, Oregon Test Data Set Arterial Loop Detector Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/13eee56e-8267-4312-bb85-14c0adc55617 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

This set of data files was acquired under USDOT FHWA cooperative agreement DTFH61-11-H-00025 as one of the four test data sets acquired by the USDOT Data Capture and Management program. This is the primary loop detector data table. It contains one-minute volume, occupancy, and data quality flags for the arterial loop detector data.

--- Original source retains full ownership of the source dataset ---

The Portland data environment provides the following data: (a) Freeway data consisting of two months of data from dual-loop detectors deployed in the main line and on-ramps of a Portland-area freeway (I-205), (b) Incident data from the Oregon Department of Transportation Advanced Traffic Management System database and planned event data from the ODOT Trip-Check Traveler Information Portal information web site, (c) Weather data from two sources: NOAA data and Remote Weather Information System (RWIS) station data, (d) Three types of arterial data: (1) Volume and occupancy data from four single loop detectors on 82nd Ave., (2) Signal phase and timing data for 32 signals along the 82nd Avenue corridor, (3) Travel times on 82nd Ave., computed from data collected by two Bluetooth readers, and (e) Transit data provided from TriMet, the Portland-metro area transit agency, including schedule, stop event and passenger counts data for both bus and light rail.

The FEMA Flood Hazard Layer represents the location and attributes of flood insurance risk zones from the Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis.

The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk.

The floodway, 100-year floodplain/SFHA (Special Flood Hazard Area), and the 500-year floodplain are all derived from this dataset.--Additional Information: Category: Hazard Purpose: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, " Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The FIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The FIRM Database serves to archive the information collected during the Flood Risk Project. Update Frequency: As needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54347

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.

We conducted a high-resolution study of lead in an urban moss, Orthotrichum lyellii, to better understand lead distributions and sources in Portland, Oregon, United States. The goal of this study was to identify modern and persistent legacy urban lead sources. This included an investigation of the impact of relic lead-sheathed telecommunication cables on environmental lead levels. Here we present lead levels and isotopic compositions of (1) moss samples collected from Portland in 2013, (2) moss samples collected 10 years later in 2023 for proximity to lead-sheathed telecommunication cables, (3) archival moss and lichen samples, and (4) rural moss samples. The findings of this study and methods can be found in the linked primary article., The methods for this study can be found in the linked primary article. , , # Measurements of lead concentrations and isotope ratios of moss and lichens from Portland, Oregon, U.S., and surrounding rural areas

https://doi.org/10.5061/dryad.1rn8pk12g

We conducted a high-resolution study of lead in an urban moss, Orthotrichum lyellii, to better understand lead distributions and sources in Portland, Oregon, United States. The goal of this study was to identify modern and persistent legacy urban lead sources. This included an investigation of the impact of relic lead-sheathed telecommunication cables on environmental lead levels. Here we present lead levels and isotopic compositions of (1) moss samples collected from Portland in 2013, (2) moss samples collected 10 years later in 2023 for proximity to lead-sheathed telecommunication cables, (3) archival moss and lichen samples, and (4) rural moss samples. The findings of this study and methods can be found in the linked primary article.

Description of the data and f...

Benchmarks are survey markers that provide a point of particular elevation used as a reference for determining elevations of other points in a survey. They are used by surveyors, engineers, planners, and contractors for establishing elevations for planning, designing, and/or construction of various projects.The City of Portland is responsible for establishing and maintaining a network of benchmarks throughout the city, each having a known elevation expressed in feet in the City of Portland’s own datum (established in 1896). Most of the City of Portland’s Benchmarks are brass disks about 2 ½" in diameter, and all are marked "City of Portland Bench Mark No. nnnn " and usually set in the curbs of streets. Occasionally you’ll see larger disks of 3 ¾" diameter which are "Class A" monuments, and some benchmarks are set in retaining walls, bridge wing walls, culvert headwalls, concrete steps, or wherever the most stable and accessible placement was determined to be for a specific location. You might also see benchmarks similar to those of the City of Portland’s but with another governmental agency’s or private firm’s name stamped on it. Occasionally the City of Portland Benchmark Book will refer to these monuments and provide elevations, but more often you’ll have to contact the appropriate institution for more information. The benchmark numbers the City assigned to outside agency monuments are for indexing purposes only; PDOT does not stamp a City of Portland benchmark number on other agencies' monuments.-- Additional Information: Category: Survey Purpose: For mapping and analysis related to the maintenance of survey benchmarks. Update Frequency: As needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=53238

Cruise report for Multibeam swath bathymetry, sidescan sonar and underwater video survey in the vicinity of Portland Bill as part of the Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment (SEA8) . Emu Ltd was commissioned by Geotek Ltd on behalf of the DTI to perform hydrographic and ecological surveys within the vicinity of Portland Bill to further understand regional processes around a tidal headland. Survey work was required specifically to investigate the sediment processes and seabed habitats present.

This is one of over 400 major media market consumer surveys which have been gifted to Washington State University (WSU) by Leigh Stowell & Company, Inc. of Seattle, Washington, USA. This is a market research firm which specializes in providing newspapers, television affiliates and cable operators with market segmentation research pertinent to consumer purchasing patterns and the effective marketing of goods and services to program audiences. The data in the Stowell Archive were collected via random digit dialing and computer-aided telephone interviews (CATI). Most of the surveys focus on the marketing needs of mass media clients and contain demographics, psychographics, media exposure information, and purchasing behavior data about consumers in major metropolitan areas of the United States and Canada starting in 1989. The sample sizes of the surveys range from 500 to 3,000 respondents, averaging 1,000 observations per study. Data are available at the respondent level, and all observations are keyed to zip code or other geographic identifiers. Additional surveys are anticipated, with over twenty new media marke t studies being donated annually. The University's relationship with Leigh Stowell & Company, Inc. was cultivated by Dr. Nicholas Lovrich, Director of WSU's Division of Governmental Studies and Services (DGSS) and by Dr. John Pierce, former Dean of the WSU College of Liberal Arts over the course of a decade. DGSS collaborated with WSU Libraries Digital Services to process the gifted data files into this digital archive which features powerful search and download capabilities. Further refinement of the archive in accordance with the Data Documentation Initiative is progressing with support from the Office of the Provost, the College of Liberal Arts and the WSU Libraries. It is important to note that the year indicated by the study's title is the year that the original survey was published, and is not necessarily the year in which the interviews were conducted. Refer to the metadata field "Dates of Collection" to di scern the interview dates of each specific survey. Refer also to date fields within the data file itself.

713366 Global exporters importers export import shipment records of Portland cement with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9 mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from LiDAR data flown in 2015 and provided by the Oregon Department of Geology and Mineral Industries. Bridge decks are generally removed from DEMs as standard practice. Therefore, these features may be shown as inundated when they are not. Judgement should be used when estimating the usefulness of a bridge during flood flow. Comparing the bridge to the surrounding ground can be more informative in this respect than simply looking at the bridge itself. Two model plans were used in the creation of the flood layers. The first is a stable model plan using unsteady flow in which the maximum streamflow is held in place for a long period of time (a number of days) in order to replicate a steady model using an unsteady plan. The stable model plan produced the areas of uncertainty contained in the sycor_breach.shp shapefile. The second is an unstable model plan that uses unsteady flow in which the full hydrograph (rising and falling limb) is represented based on the hydrograph shape of the December 2015 peak annual flood. The unstable model plan produced the flood extent polygons contained in the sycor.shp shapefile and the depth rasters and represents the best estimate of flood inundation for the given streamflow at U.S. Geological Survey streamgage 14211500.

This study examined the use of arrestee urinalysis results as a predictor of other community drug problems. A three-stage public health model was developed using drug diffusion and community drug indicators as aggregate measures of individual drug use careers. Monthly data on drug indicators for Washington, DC, and Portland, Oregon, were used to: (1) estimate the correlations of drug problem indicators over time, (2) examine the correlations among indicators at different stages in the spread of new forms of drug abuse, and (3) estimate lagged models in which arrestee urinalysis results were used to predict subsequent community drug problems. Variables included arrestee drug test results, drug-overdose deaths, crimes reported to the local police department, and child maltreatment incidents. Washington variables also included drug-related emergency room episodes. The unit of analysis was months covered by the study. The Washington, DC, data consist of 78 records, one for each month from April 1984 through September 1990. The Portland, Oregon, data contain 33 records, one for each month from January 1988 through September 1990.

Learn about the factors that influence the cost of Portland cement, including location, demand, and quality. Discover the price range per ton and per bag, and how to make informed decisions when budgeting for construction projects.

No description is available. Visit https://dataone.org/datasets/93516ca224de0cc63bd0aa255545ae0d for complete metadata about this dataset.

127720 Global exporters importers export import shipment records of White portland cement with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.