Digital flood-inundation map libraries for two reaches that comprise 14.8 miles of the Little and Big Papillion Creeks in Omaha, Nebraska were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resource District. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Little Papillion Creek at Irvington, Nebr. (station 06610750), Little Papillion Creek at Ak-Sar-Ben at Omaha, Nebr. (station 06610765), and Big Papillion Creek at Q Street at Omaha, Nebr. (station 06610770). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/. Flood profiles were computed using hydraulic models for two different stream reaches that comprised 14.8 miles of stream length of the Little and Big Papillion Creeks in Omaha. The models were calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the streamgages within the study reach. The hydraulic models were then used to compute water-surface profiles at 1-foot (ft) stage intervals at selected stage ranges to represent various flooding scenarios at the streamgages in the reach. The simulated water-surface profiles then were combined using a geographic information system with a digital elevation model, which had a 10-ft grid to delineate the area flooded and water depths at each stage. Along with the inundated area maps, polygon shapefiles of areas behind the levees were created to display the uncertainty of these areas if a levee breach were to occur. These 'areas of uncertainty' files have '_breach' appended to the file names in the data release. The availability of these maps, along with information regarding current stage from USGS streamgages, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Jun 2025 about miles, travel, vehicles, and USA.

Southern California residents were rudely awakened Sunday morning June 28, 1992 at 04:57 am (June 28 at 11:57 GMT), by an earthquake of magnitude 7.6 (Ms) followed by a smaller 6.7 (Ms) magnitude earthquake about three hours later (June 28 at 15:05 GMT). The largest shock occurred approximately 6 miles southwest of Landers, California and 110 miles east of Los Angeles. The second earthquake was entered approximately 8 miles southeast of Big Bear City in the San Bernardino Mountains near Barton Flats. A distance of 17 miles and 7,000 feet in elevation separate the two earthquake locations.

These data-sets are polygon shapefiles that represent flood inundation boundaries for two digital flood-inundation map libraries for 14.8 miles of the Little and Big Papillion Creeks in Omaha, Nebraska. These shapefiles were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resource District for use within the USGS Flood Inundation Mapping program. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgages Little Papillion Creek at Irvington, Nebr. (station 06610750), Little Papillion Creek at Ak-Sar-Ben at Omaha, Nebr. (station 06610765), and Big Papillion Creek at Q Street at Omaha, Nebr. (station 06610770). Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/. Flood profiles were computed using hydraulic models for two different stream reaches that comprised 14.8 miles of stream length of the Little and Big Papillion Creeks in Omaha. The models were calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the streamgages within the study reach. The hydraulic models were then used to compute water-surface profiles at 1-foot (ft) stage intervals at selected stage ranges to represent various flooding scenarios at the streamgages in the reach. The simulated water-surface profiles then were combined using a geographic information system with a digital elevation model, which had a 10-ft grid to delineate the area flooded and water depths at each stage. Along with the inundated area maps, polygon shapefiles of areas behind the levees were created to display the uncertainty of these areas if a levee breach were to occur. These 'areas of uncertainty' files have '_breach' appended to the file names in the data release. The availability of these maps, along with information regarding current stage from USGS streamgages, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

NOAA is responsible for depicting on its nautical charts the limits of the 12 nautical mile Territorial Sea, 24 nautical mile Contiguous Zone, and 200 nautical mile Exclusive Economic Zone (EEZ). The outer limit of each of these zones is measured from the U.S. normal baseline, which coincides with the low water line depicted on NOAA charts and includes closing lines across the entrances of lega...

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Massachusetts, United States Of America. The time period coverage is from 423 to 273 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

The Harvard Forest is a collection of five properties, totaling about 1500 hectares, in Petersham, Massachusetts. Petersham is a rural town in Worcester County, Massachusetts, about 60 miles west of Boston. It is largely in the Swift River Watershed, and lies near the center of a twenty-mile wide band of hilly uplands that form the eastern edge of the Connecticut Valley. The north part of the town is rolling and the south more distinctly hilly; the lowest basins are about 200 m above sea level, the flats around 400m. Th e climate is cool temperate. Petersham, like many of the adjacent towns, was settled in the early 18th century, extensively cleared and farmed in the next hundred years, and then progressively abandoned after about 1830. Reforestation proceeded quickly, and by the time of the first Harvard Forest maps in 1909 HF was almost entirely wooded. Th e common forest types are dominated, variously, by red oak, red maple, white pine, or hemlock. Most are of low or average fertility and under 100 years old. Hemlock is now locally dominant in many stands that have been continuously forested; oaks, red maples and pines are the common dominants in stands that developed in old fields.

This dataset is a subset of data attributes selected from the (full) 1966-2019 North American Breeding Bird Survey (BBS) dataset to assist in populating the U.S. Fish and Wildlife's FWSpecies application. This subset data was used to add species occurrence information to species lists for each refuge in the Pacific Northwest (Washington, Oregon, Idaho). The full dataset can be accessed online through ScienceBase. And this metadata leaves most metadata fields untouched from the original, except to add details related to additional processing to make a refuge specific subset, for a specific purpose (populating species lists/occurrences on refuges). All questions regarding the BBS data itself should go to USGS Patuxent Wildlife Research Center. The 1966-2019 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording every bird seen or heard within a quarter-mile (400-m) radius. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are sampled once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Massachusetts, United States Of America. The time period coverage is from 588 to 268 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Massachusetts, United States Of America. The time period coverage is from 496 to 181 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

The 1966-2023 North American Breeding Bird Survey (BBS) dataset contains avian point count data for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording all birds seen within a quarter-mile (400-m) radius and all birds heard. Surveys begin 30 minutes before local sunrise and take approximately 5 hours to complete. Routes are surveyed once per year, with the total number of routes sampled per year growing over time; just over 500 routes were sampled in 1966, while in recent decades approximately 3000 routes have been sampled annually. No data are provided for 2020. BBS field activities were cancelled in 2020 because of the coronavirus disease (COVID-19) global pandemic and observers were directed to not sample routes. In addition to avian count data, this dataset also contains survey date, survey start and end times, start and end weather conditions, a unique observer identification number, route identification information, and route _location information including country, state, and BCR, as well as geographic coordinates of route start point, and an indicator of run data quality.

The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the U.S. Geological Survey's Evolution of Sedimentary Basins—San Juan basin study produced several reports on aspects of the stratigraphy and sedimentology of the basin. A report of the stratigraphy, structure, and paleogeography of Pennsylvanian and Permian rocks included 18 plates of contoured elevation and thickness data for various units (Huffman and Condon, 1993). This digital dataset contains spatial datasets corresponding to selected contour maps from the Evolution of Sedimentary Basins—San Juan basin study. The data help define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the Molas Formation, the Rico Formation, the elevation of the top of Permian strata, and the estimated thickness of Permian and Pennsylvanian rocks. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from 38 to -51 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Local and regional food supply chains are gaining increasing support from public and private sectors for their contributions to economic development and promoting sustainability. However, the impacts of regionalization are not well understood. We employ a spatial-temporal model of production and transportation to evaluate the supply chain outcomes of a decade-long process of food regionalization for fresh broccoli in the eastern United States (US). Our results indicate that eastern broccoli supply chains displaced products sourced from the western US and met over 15% of the annual demand in eastern markets in 2017. We find that total broccoli supply chain costs and food miles increased in the period 2007–2017. Nevertheless, eastern-grown broccoli has contributed to reducing regional food miles in the eastern region (from 365 miles in 2007 to 255 miles in 2017) and experienced only modest increases in supply chains costs (a 3.4% increase, compared to a 16.5% increase for broccoli shipped from western US) during the same period. Our results provide valuable information for policymakers and the fresh produce industry interested in promoting regional food supply chains.

Long-Term-Debt Time Series for CMS Energy Corporation. CMS Energy Corporation operates as an energy company primarily in Michigan. The company operates through three segments: Electric Utility; Gas Utility; and NorthStar Clean Energy. The Electric Utility segment is involved in the generation, purchase, distribution, and sale of electricity. This segment generates electricity through coal, wind, gas, renewable energy, oil, and nuclear sources. Its distribution system comprises 270 miles of high-voltage distribution overhead lines; 4 miles of high-voltage distribution underground lines; 4,646 miles of high-voltage distribution overhead lines; 18 miles of high-voltage distribution underground lines; 81,924 miles of electric distribution overhead lines; 9,775 miles of underground distribution lines; and 1,098 substations. The Gas Utility segment engages in the purchase, transmission, storage, distribution, and sale of natural gas, which includes 2,342 miles of transmission lines; 15 gas storage fields; 28,368 miles of distribution mains; and 8 compressor stations. The NorthStar Clean Energy segment is involved in the independent power production and marketing, including the development and operation of renewable generation. The company serves 1.9 million electric and 1.8 million gas customers, including residential, commercial, and diversified industrial customers. The company was incorporated in 1987 and is headquartered in Jackson, Michigan.

Context

Have you taken a flight in the U.S. in the past 15 years? If so, then you are a part of monthly data that the U.S. Department of Transportation's TranStats service makes available on various metrics for 15 U.S. airlines and 30 major U.S airports. Their website unfortunately does not include a method for easily downloading and sharing files. Furthermore, the source is built in ASP.NET, so extracting the data is rather cumbersome. To allow easier community access to this rich source of information, I scraped the metrics for every airline / airport combination and stored them in separate CSV files.

Occasionally, an airline doesn't serve a certain airport, or it didn't serve it for the entire duration that the data collection period covers*. In those cases, the data either doesn't exist or is typically too sparse to be of much use. As such, I've only uploaded complete files for airports that an airline served for the entire uninterrupted duration of the collection period. For these files, there should be 174 time series points for one or more of the nine columns below. I recommend any of the files for American, Delta, or United Airlines for outstanding examples of complete and robust airline data.

* No data for Atlas Air exists, and Virgin America commenced service in 2007, so no folders for either airline are included.

Content

There are 13 airlines that have at least one complete dataset. Each airline's folder includes CSV file(s) for each airport that are complete as defined by the above criteria. I've double-checked the files, but if you find one that violates the criteria, please point it out. The file names have the format "AIRLINE-AIRPORT.csv", where both AIRLINE and AIRPORT are IATA codes. For a full listing of the airlines and airports that the codes correspond to, check out the airline_codes.csv or airport_codes.csv files that are included, or perform a lookup here. Note that the data in each airport file represents metrics for flights that originated at the airport.

Among the 13 airlines in data.zip, there are a total of 161 individual datasets. There are also two special folders included - airlines_all_airports.csv and airports_all_airlines.csv. The first contains datasets for each airline aggregated over all airports, while the second contains datasets for each airport aggregated over all airlines. To preview a sample dataset, check out all_airlines_all_airports.csv, which contains industry-wide data.

Each file includes the following metrics for each month from October 2002 to March 2017:

1. Date (YYYY-MM-DD): All dates are set to the first of the month. The day value is just a placeholder and has no significance.
2. ASM_Domestic: Available Seat-Miles in thousands (000s). Number of domestic flights * Number of seats on each flight
3. ASM_International*: Available Seat-Miles in thousands (000s). Number of international flights * Number of seats on each flight
4. Flights_Domestic
5. Flights_International*
6. Passengers_Domestic
7. Passengers_International*
8. RPM_Domestic: Revenue Passenger-Miles in thousands (000s). Number of domestic flights * Number of paying passengers
9. RPM_International*: Revenue Passenger-Miles in thousands (000s). Number of international flights * Number of paying passengers

* Frequently contains missing values

Acknowledgements

Thanks to the U.S. Department of Transportation for collecting this data every month and making it publicly available to us all.

Source: https://www.transtats.bts.gov/Data_Elements.aspx

Inspiration

The airline / airport datasets are perfect for practicing and/or testing time series forecasting with classic statistical models such as autoregressive integrated moving average (ARIMA), or modern deep learning techniques such as long short-term memory (LSTM) networks. The datasets typically show evidence of trends, seasonality, and noise, so modeling and accurate forecasting can be challenging, but still more tractable than time series problems possessing more stochastic elements, e.g. stocks, currencies, commodities, etc. The source releases new data each month, so feel free to check your models' performances against new data as it comes out. I will update the files here every 3 to 6 months depending on how things go.

A future plan is to build a SQLite database so a vast array of queries can be run against the data. The data in it its current time series format is not conducive for this, so coming up with a workable structure for the tables is the first step towards this goal. If you have any suggestions for how I can improve the data presentation, or anything that you would like me to add, please let me know. Looking forward to seeing the questions that we can answer together!

Long-Term-Investments Time Series for Edison International. Edison International, through its subsidiaries, engages in the generation and distribution of electric power. The company supplies and delivers through its electrical infrastructure to an approximately 50,000 square-mile area of southern California. It serves residential, commercial, industrial, public authorities, agricultural, and other sectors. The company's distribution network consists of approximately 13,000 circuit-miles of lines ranging from 55 kV to 500 kV and approximately 80 transmission substations; and approximately 38,000 circuit-miles of overhead lines, approximately 32,000 circuit-miles of underground lines, and approximately 730 distribution substations. Edison International was founded in 1886 and is based in Rosemead, California.

This dynamic web map service contains reference quads for emergency response reconnaissance developed for use by the US Environmental Protection Agency. Grid cells are based on densification of the USGS Quarterquad (1:12,000 scale or 12K) grids for the continental United States, Alaska, Hawaii and Puerto Rico and are roughly equivalent to 1:6000 scale (6K) quadrangles approximately 2 miles long on each side. Note: This data set is also available as a downloadable national-scale file (>80MB) and as individual regional subsets. Each regional extract includes a 20 mile buffer of tiles around each EPA Region.

This page includes legacy releases of North American Breeding Bird Survey (BBS) data for the periods beginning in 1966 and ending with the years 2000 through 2015. These releases have been superseded by a more current release but are included here for archival purposes. The North American Breeding Bird Survey dataset contains avian point count data since 1966 for more than 700 North American bird taxa (species, races, and unidentified species groupings). These data are collected annually during the breeding season, primarily in June, along thousands of randomly established roadside survey routes in the United States and Canada. Routes are roughly 24.5 miles (39.2 km) long with counting locations placed at approximately half-mile (800-m) intervals, for a total of 50 stops. At each stop, a citizen scientist highly skilled in avian identification conducts a 3-minute point count, recording every bird seen or heard within a quarter-mile (400-m) radius. Surveys begin 30 minutes befor ...