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189 results for “lanes”
Energy and Emissions Impacts of Atlanta's Reversible Express Toll Lanes and High-Occupancy Toll Lanes
<p>This dataset is the MOVES-Matrix emission rates for the NCST project of Energy and Emissions Impacts of Atlanta’s Reversible Express Toll Lanes and High-Occupancy Toll Lanes, developed by our research team at Georgia Institute of Technology.</p> <p> </p> <p>The abstract of the project is as follows.</p> <p>This report summarizes the impact on corridor-level energy use and emissions associated with the 2018 opening of the I-75 Northwest Corridor (NWC) and I-85 Express Lanes in Atlanta, GA. The research team tracked changes in vehicle throughput on the managed lane corridors (extracted from GDOT’s Georgia NaviGAtor machine vision system after comprehensive QA/QC) and performed a difference-in-difference analysis to exclude regional changes, pairing test sites vs. control sites not influenced by the openings. The results show a large increase in overall peak-period vehicle throughput on the NWC, especially on I-575, due to the congestion decrease (20 mph speed increases at some locations). The increase in corridor-level energy use and emissions was smaller than vehicle throughput, but still significant. Predicted downwind maximum CO concentrations only increased from 1.81 ppm to 1.93 ppm(which remains extremely low). The increase in morning peak activity on the corridor likely resulted from diversion of some traffic into the peak from the shoulder periods, diversion of some traffic from other nearby freeway corridors, and diversion of local road traffic into the corridor. Unfortunately, without overall control volume totals and/or pre-and-post travel behavior surveys for the alternative commute routes, it is not possible to quantify the likely reductions in traffic flow and emissions that occurred along the other corridors that likely resulted from morning commute shifts. Hence, the team cannot draw reliable conclusions related to net regional or sub-regional impacts associated with the new managed lane corridors. The impact observed on the I-85 corridor was much smaller than on the NWC, especially at Indian Trail/Lilburn Road (far from the Express Lane Extension). After the Express Lanes opened, energy use and emission rates at Old Peachtree Road increased slightly (as uncongested vehicle speeds increased), but this increase may be short-lived as traffic on the corridor changes over time.</p> <p> </p>
Test Data of Passenger kinematics in Lane change and Lane change with Braking Manoeuvres from Ghaffari et al., 2018
<p>This data was extracted by the "authors" of this dataset from the publication</p> <p><strong>Ghaffari, G., Brolin, K., Bråse, D., Pipkorn, B., Svanberg, B., Jakobsson, L., & Davidsson, J. (2018). Passenger kinematics in Lane change and Lane change with Braking Manoeuvres using two belt configurations: standard and reversible pre-pretensioner. <em>2018 IRCOBI Conference Proceedings, </em>pp. 12-14, <a href="http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf">http://www.ircobi.org/wordpress/downloads/irc18/pdf-files/80.pdf</a>.</strong></p> <p>within the OSCCAR project and made publicly available for future validations of active Human Body Models.</p> <p><strong>If you use this data, please cite the original paper.</strong></p> <p>To use the data, a generic model of the vehicle environment is also openly available: <a href="https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3">https://openvt.eu/osccar/precrash_seat_models/safer-ahbm_2-3 </a></p>
Dataset: Oxford Lane Capital Corp. 6.75% Notes due 2031 (OXLCL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Oxford Lane Capital Corp. (OXLC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Oxford Lane Capital Corp. (OXLCN) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Oxford Lane Capital Corp. 5.00% Notes due 2027 (OXLCZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Oxford Lane Capital Corp. (OXLCP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Oxford Lane Capital Corp. (OXLCM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Hamilton Lane Incorporated (HLNE) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Text-fig. 4. Electrophoresis after amplification: Electrophoretical analysis of mitochondrial DNA. mtDNA sequences were amplified by primers F15.412 and R16.169 (450 bp), R16.269 (550 bp), R16.519 (800 bp). Lane 1 are primers F15.412 + R16.169, lane 2 primers F15.412 + R16.269, lane 3 primers F15.412 + R16.519, NC – negative control – water, L – 100 bp DNA ladder (band size from 100 bp to 1500 bp). in Genetic Analysis Of Possibly The Oldest Greyhound Remains Within The Territory Of The Czech Republic As Proof Of A Local Elite Presence At Chotěbuz-Podobora Hillfort In The 8 -9 Century Ad
Text-fig. 4. Electrophoresis after amplification: Electrophoretical analysis of mitochondrial DNA. mtDNA sequences were amplified by primers F15.412 and R16.169 (450 bp), R16.269 (550 bp), R16.519 (800 bp). Lane 1 are primers F15.412 + R16.169, lane 2 primers F15.412 + R16.269, lane 3 primers F15.412 + R16.519, NC – negative control – water, L – 100 bp DNA ladder (band size from 100 bp to 1500 bp).
Figures 10–23. Xalitla species. 10–11 in Description of a new species of Xalitla Lane, 1959 (Cerambycidae: Cerambycinae: Neoibidionini) from western Mexico
Figures 10–23. Xalitla species. 10–11) Xalitla azteca, male. 10) Dorsal habitus. 11) Lateral habitus. 12–13) Xalitla genuina, paratype male. 12) Dorsal habitus. 13) Lateral habitus. 14–15) Xalitla lezamai, holotype male. 14) Dorsal habitus. 15) Lateral habitus. 16–18) Eyes, side view, male. 16) Xalitla azteca. 17) Xalitla genuina, paratype. 18) Xalitla lezamai, holotype. 19–23) Xalitla genuina, female. 19) Dorsal habitus. 20) Ventral habitus. 21) Lateral habitus. 22) Head, frontal view. 23) Head, side view.
Figures 1–9. Xalitla species. 1–5 in Description of a new species of Xalitla Lane, 1959 (Cerambycidae: Cerambycinae: Neoibidionini) from western Mexico
Figures 1–9. Xalitla species. 1–5) Xalitla limoni, holotype female. 1) Dorsal habitus. 2) Ventral habitus. 3) Lateral habitus. 4) Head, frontal view. 5) Head, lateral view. 6–9) Xalitla azteca, holotype female. 6) Dorsal habitus. 7) Ventral habitus. 8) Lateral habitus. 9) Head, lateral view.
Fig. 9. Habitus A, C and ventral view B, D in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 9. Habitus A, C and ventral view B, D of the only two females known of the gilli species group. A–B. Paratype of Deltochilum gilli González-Alvarado & Vaz-de-Mello, 2021. C–D. Paratype D. jocelynae sp. nov.
Fig. 10 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 10. Distribution map of the gilli species group. Blue circle = Deltochilum gilli González-Alvarado & Vaz-de-Mello, 2021; yellow square = D. jocelynae sp. nov.; red star = D. nonstriatum sp. nov.; green triangle = D. quasistriatum sp. nov.; white eight-point star = D. tenuistriatum sp. nov.
Fig. 7 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 7. Aedeagus of members of the gilli species group. A –E. Lateral view. F –G. Dorsal view of paramera. Arrows show the apical-dorsal notches of the paramera. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov. CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744. E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745. F. Holotype of D. jocelynae sp. nov. G. Holotype of D. nonstriatum sp. nov., CMNEN WDS00041746.
Fig. 2 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 2. Head of members of the gilli species group. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov., CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744. E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745.
Fig. 5 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 5. Caudal view of mmbers of the gilli species group. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov., CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744. E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745.
Fig. 1 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 1. Habitus of members of the gilli species group. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov., CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744. E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745.
Fig. 6 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 6. Ventral view of members of the gilli species group. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov., CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744. E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745.
Fig. 3 in Taxonomic revision of the Deltohyboma Lane, 1946 gilli species group (Coleoptera: Scarabaeidae: Scarabaeinae: Deltochilum)
Fig. 3. Pronotum of members of the gilli species group. A. Holotype of Deltochilum gilli González- Alvarado & Vaz-de-Mello, 2021, CNCI 379888. B. Holotype of D. jocelynae sp. nov., CNCI 379889. C. Holotype of D. nonstriatum sp. nov., CMNEN WSD00041746. D. Holotype of D. quasistriatum sp. nov., CMNEN WSD00041744 E. Holotype of D. tenuistriatum sp. nov., CMNEN WSD00041745. F. Miscrosculpture of pronotal disc, Holotype of D. jocelynae sp. nov. G. Miscrosculpture pronotal disc, Holotype of D. nonstriatum sp. nov. White arrows show the shiny points.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.