Timeline / Data.gov — Environment Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 2114 line(s) added, 5070 line(s) removed.

Evidence

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-10-07T00:17:06+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 2114 line(s) added, 5070 line(s) removed.

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- "description": "The main dataset is a 130 MB file of trajectory data (I90_94_moving_final.csv) that contains position, speed, and acceleration data for small and large automated (L2) and non-automated vehicles on a highway in an urban environment. Supporting files include aerial reference images for four distinct data collection “Runs” (I90_94_moving_RunX_with_lanes.png, where X equals 1, 2, 3, and 4). Associated centerline files are also provided for each “Run” (I-90-moving-Run_X-geometry-with-ramps.csv). In each centerline file, x and y coordinates (in meters) marking each lane centerline are provided. The origin point of the reference image is located at the top left corner. Additionally, in each centerline file, an indicator variable is used for each lane to define the following types of road sections: 0=no ramp, 1=on-ramps, 2=off-ramps, and 3=weaving segments. The number attached to each column header is the numerical ID assigned for the specific lane (see “TGSIM – Centerline Data Dictionary – I90_94moving.csv” for more details). The dataset defines six northbound lanes using these centerline files. Images that map the lanes of interest to the numerical lane IDs referenced in the trajectory dataset are stored in the folder titled “Annotation on Regions.zip”. The northbound lanes are shown visually from left to right in I90_94_moving_lane1.png through I90_94_moving_lane6.png.\n\nThis dataset was collected as part of the Third Generation Simulation Data (TGSIM): A Closer Look at the Impacts of Automated Driving Systems on Human Behavior project. During the project, six trajectory datasets capable of characterizing human-automated vehicle interactions under a diverse set of scenarios in highway and city environments were collected and processed. For more information, see the project report found here: https://rosap.ntl.bts.gov/view/dot/74647. This dataset, which is one of the six collected as part of the TGSIM project, contains data collected using one high-resolution 8K camera mounted on a helicopter that followed three SAE Level 2 ADAS-equipped vehicles (one at a time) northbound through the 4 km long segment at an altitude of 200 meters. Once a vehicle finished the segment, the helicopter would return to the beginning of the segment to follow the next SAE Level 2 ADAS-equipped vehicle to ensure continuous data collection. The segment was selected to study mandatory and discretionary lane changing and last-minute, forced lane-changing maneuvers. The segment has five off-ramps and three on-ramps to the right and one off-ramp and one on-ramp to the left. All roads have 88 kph (55 mph) speed limits. The camera captured footage during the evening rush hour (3:00 PM-5:00 PM CT) on a cloudy day.\n\nAs part of this dataset, the following files were provided:\n<ul><li>I90_94_moving_final.csv contains the numerical data to be used for analysis that includes vehicle level trajectory data at every 0.1 second. Vehicle size (small or large), width, length, and whether the vehicle was one of the automated test vehicles (\"yes\" or \"no\") are provided with instantaneous location, speed, and acceleration data. All distance measurements (width, length, location) were converted from pixels to meters using the following conversion factor: 1 pixel = 0.3-meter conversion.</li>\n<li>I90_94_moving_RunX_with_lanes.png are the aerial reference images that define the geographic region and associated roadway segments of interest (see bounding boxes on northbound lanes) for each run X.</li>\n<li>I-90-moving-Run_X-geometry-with-ramps.csv contain the coordinates that define the lane centerlines for each Run X. The \"x\" and \"y\" columns represent the horizontal and vertical locations in the reference image, respectively. The \"ramp\" columns define the type of roadway segment (0=no ramp, 1=on-ramps, 2=off-ramps, and 3=weaving segments). In total, the centerline files define six northbound lanes.</li>\n<li>Annotation on Regions.zip, which includes images that visually map lanes (I90_9",
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Along with this, AASE aimed to study the effect of ozone distribution of the Arctic polar vortex as well as the cold temperatures associated with the formation of Polar Stratospheric Clouds. AASE-II aims to answer three science questions. First, AASE-II asks: will significant erosion of stratospheric ozone occur over the Arctic as stratospheric chlorine levels increase during the next decade? Second, AASE-II sought to understand what the causes of mid-latitude stratospheric ozone decreases in late fall through early summer are. This objective comes from the observations of ground and satellite observations the decade prior to the campaign. Finally, due to the eruption of Mt. Pinatubo in June 1991, AASE-II aimed to address the effect volcanoes have on the chemical processes that govern stratospheric ozone. Specifically, this campaign questions if volcanic aerosols could modify depletion of stratospheric ozone associated with industrial halocarbons?\n\nIn order to accomplish these goals and answer these questions, AASE deployed the NASA DC-8 aircraft, NASA ER-2 aircraft, balloon sondes, and used imagery from satellites. These payloads and instruments were used for both AASE and AASE-II. Flights for AASE (including test flights) were conducted from December 1988 to February 1989, while flights for AASE-II (including test flights) were conducted from August 1991 to March 1992. The ER-2 was equipped with 13 instruments during AASE. Three instruments among those were the NOAA NO/NOy Instrument (NOAA NOy), the Multiple Axis Resonance Fluorescence Chemical Conversion Detector for ClO and BrO (ClO/BrO), and the Dual-Beam UV-Absorption Ozone Photometer (NOAA O3 Classic). The NOAA NOy was responsible for collecting data on NO volume mixing ratio in parts per billion (ppb), as well as NOy volume mixing ratio in ppb. As the name suggests, the ClO/BrO took measurements of BrO and ClO mixing ratio in ppb. The NOAA O3 Classic was enlisted on this campaign to take measurements of ozone in the atmosphere in ppb. The NASA DC-8 aircraft was equipped with 14 instruments. Three of those instruments were the Differential Absorption Lidar (DIAL), the Whole Air Sampler (WAS (NCAR)), and the NOAA Lyman-Alpha Total Water Hygrometer (NOAA TW). The DIAL recorded data on infrared (IR) aerosol depolarization percentages, IR atmospheric scattering ratio, ozone mixing ratio in ppb by volume, VIS aerosol depolarization percentages, and VIS atmospheric scattering ratio. The WAS (NCAR) collected data on mixing ratios of CO2, CH4, CO, N2O, CF2Cl2, CFCl3, C2F3Cl3, and CH3CCl3. 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