Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
109
datasets available to search
ShareScore release 0.9.0
Dataset results
109 results for “highways”
Text-fig. 3. Correlation model of the studied sections of Late Miocene deposits. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka. 1. reversed polarity; 2. normal polarity; 3. unstudied interval. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 3. Correlation model of the studied sections of Late Miocene deposits. a. Tuapse highway bridge. b. Gaverdovsky. c. Volchaya Balka. 1. reversed polarity; 2. normal polarity; 3. unstudied interval.
Text-fig. 1. Geographic location of the studied sections. 1. Gaverdovsky, 2. Volchaya Balka, 3. Tuapse highway bridge, 4. Maikop city park. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 1. Geographic location of the studied sections. 1. Gaverdovsky, 2. Volchaya Balka, 3. Tuapse highway bridge, 4. Maikop city park.
Figure 2. Goulburn Valley Highway fossil location F103 in Taungurungia gen. nov., from the Lower Devonian of Yea, central Victoria, Australia
Figure 2. Goulburn Valley Highway fossil location F103 (Garratt 1980): a, F103 located about 5 km west of Yea; b, part of F103 exposure (37° 12' 30" S; 145° 21' 56" E) with arrow at location where Taungurungia garrattii gen. et sp. nov. was found in situ. Map after Garratt (1978) and positioning of Strathbogie Batholith after VandenBerg (1997).
Simulated Highway Lane Change Data with Uncertain Vehicle Parameters
<p>This data set consists of closed-loop simulations for highway lane changes by means of time series data. Thereby, the lane changes are planned with three different planners (state variable filter, fifth order polynomial, optimization-based), and executed with four different controllers (flatness-based feedforward with PD feedback control, input/output linearization, higher order sliding mode controller, inversion & invariance based control). The vehicle dynamics model is a non-linear bicycle model. The lane change scenarios vary in lane change duration, vehicle velocity, vehicle parameters, and odometry errors.<br>Additionally to the data, the Matlab code to repeat the analysis on your own is provided.<br>For more details, refer to:</p> <p>M. Gurtner, J. Weber, P. Zips and A. Kugi, "The Role of Trajectory Planners in Lane Change Tracking Control: A Monte Carlo Evaluation of Four Controllers under Uncertainty," <em>2024 European Control Conference (ECC)</em>, Stockholm, Sweden, 2024, pp. 3847-3853, doi: 10.23919/ECC64448.2024.10590871.</p> <p> </p> <p>The research leading to these data has received funding from the Mobility of the Future programme (Grant No. 884344).<br>Mobility of the Future is a research, technology and innovation funding programme of the Republic of Austria, Ministry of Climate Action.<br>The Austrian Research Promotion Agency (FFG) has been authorised for the programme management.</p>
Differences in mammal community response to highway construction across different levels of human land use
Open the record for dataset details and reuse information.
Sociality helps mitigate anthropogenic risks: evidence from elk crossing a major highway
Open the record for dataset details and reuse information.
Del 13C and del 15N ratios in a peat core at 2 cm depth intervals at 4 locations along the Dalton Highway, North Slope Alaska, 1989.
del 13C and del 15N ratios were measured on a peat core at 2 cm depth intervals. Peat cores were taken at Imnavait Creek, Pump Station 3, the Happy Valley Steram and Olikok Dock Road along the Dalton Highway, Alaska.
Peat cores were collected along the Dalton Highway for the analysis of soil properties, 13C and percent of modern age, North Slope, Alaska 1989.
Peat cores were collected along the Dalton Highway in 1989 and analysed for percent moisture, percent organic carbon, bulk densitey, del C-13, and radiocarbon content at varying depth intevals throughout the core. Samples were collected to the mineral zone and kept in cold storage until analysis. Samples were collected from 12 sites.
Alaska 2004 Burns: Environmental and stand data for sites located in the 2004 burns off the Steese, Taylor, and Dalton Highways, collected in 2005-2011
This dataset contains site-level descriptions of environmental data (latitude, slope, aspect, moisture, soil pH and texture), pre-fire stand characteristics (tree density and basal area by species), and fire conditions from the 2004 fires (estimates of canopy and surface fire severity, including CBI, plus estimated stand age, date of burning, and distances to live seed sources). Each sample unit represents a site, and values often are site-level means of sub-samples. These data provide an initial baseline of environmental and fire conditions that can be used in interpreting long-term patterns of vegetation responses at the sites.
Firescars with distance from highways in Interior Alaska (1988-1993)
Buffers around highways in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 1988 - 1993 firescars, clipped to Interior Alaska
Firescars with distance from highways in Interior Alaska (1994-1999)
Buffers around highways in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 1994 - 1999 firescars, clipped to Interior Alaska
Firescars with distance from highways in Interior Alaska (2000-2005)
Buffers around highways in Alaska in 5 km bins to a maximum distance of 45 km overlaid with 2000 - 2005 firescars, clipped to Interior Alaska
Black spruce seed counts from seed rain traps in the 2004 burns off the Steese, Taylor, and Dalton Highways, collected in 2005-2007.
This dataset contains seed counts of black spruce seed rain collected in traps at 39 intensive study sites within the 2004 burns of interior Alaska. Data are presented as raw data from trap collections at each site. All sites were in communities dominated by black spruce before burning, and were located 100 to 600 m from the road, beyond the range of any visible road effects and away from any signs of other human disturbance.
Black spruce seed viability from seed rain traps in the 2004 burns off the Steese, Taylor, and Dalton Highways, collected in 2005-2007.
This dataset contains viability estimates of black spruce seed collected in traps at 39 intensive study sites within the 2004 burns of interior Alaska. Data are presented as raw data from trap collections at each site. All sites were in communities dominated by black spruce before burning, and were located 100 to 600 m from the road, beyond the range of any visible road effects and away from any signs of other human disturbance.
A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos
<p>This dataset was used on the paper "A Comparison between Background Modelling Methods for Vehicle Segmentation in Highway Traffic Videos" for the comparison of three of the most common background modelling methods. The objective was to determine which of the models would be a better fit for the videos we had available at the time.</p> <p>Images are separated into folders, each corresponding to one of the videos used. To understand the naming convention, you can check <a href="https://arxiv.org/abs/1810.02835">the paper</a>, available at arXiv.</p>
Assessment of Compatibility of Mineral Aggregates and Binders Used In Highway Construction and Maintenance Projects
<p>Stripping and delamination have been deemed as some of the major premature pavement distresses to most state Departments of Transportations (DOTs) and highway agencies including the Arkansas Department of Transportation (ARDOT). It is believed that the poor compatibility between asphalt binders and aggregates is one of the major reasons behind this. This study aims to analyze the compatibility of selected asphalt binders and aggregates used in Arkansas. Asphalt binders used in this study include PG 64-22, PG 70-22, and PG 76-22; each prepared from two different crude courses. Additionally, four different types of aggregates (sandstone, limestone, gravel, and dolomite) from four different quarries in Arkansas were evaluated in the laboratory. Selected physical and mechanical properties of the aggregates, rheological properties of the asphalt binders, surface free energy (SFE) measurements of the binders and aggregates, atomic force microscopy (AFM) analyses of binders, and limited laboratory and field performance of asphalt mixture samples were evaluated to determine the compatibility between the asphalt binders and aggregates. The findings of this study are expected to help pavement researchers and highway professionals to find suitable asphalt binder-aggregate combinations for constructing the durable pavements.</p>
Grassland African Road Images (GARI): A Driving Dataset from Kenyan Highways and National Parks
<p>A driving dataset collected on grassland roads in Kenyan national parks and highways in western Kenya. The dataset contains images from 20 hours of driving as well the driving signals from the vehicle such as speed, steering, acceleration etc. This is the first driving dataset from Africa to the best of our knowledge. See <em>GARI_dataset_description.pdf</em> for more information.</p>
Highways associated with expansion of boreal scavengers into the alpine tundra of Fennoscandia
<p>1) Habitat fragmentation may affect species distributions through, for example, altered resource availability and shifts in species interactions. Fragmentation by roads has had negative impacts on Fennoscandian alpine ecosystems, with reduction of habitats and connectivity for alpine species. Concurrently, infrastructure development cause influx of subsidies through roadkills and litter, which may facilitate expansion of boreal scavenging species, such as the red fox (Vulpes vulpes), which may intensify negative interactions with alpine species. Hence, understanding the impact of subsidies within marginal alpine areas is imperative for successful conservation and management of particularly vulnerable alpine species.</p> <p>2) We used snow tracking and camera traps in three alpine tundra areas in Norway to investigate whether the presence of boreal scavengers were positively associated with highways during winter, and if this contrasted the pattern of a critically endangered alpine species, the Arctic fox (Vulpes lagopus). In summer, artificial nests were used to assess whether predation risk was related to proximity to highways.</p> <p>3) During winter, the occurrence of red foxes was higher close to highways and decreased with increasing distance to highways, while the arctic fox showed no discernible pattern. Red fox occurrence increased with the number of edible items of anthropogenic origin located along highways, whereas arctic fox occurrence decreased.</p> <p>4) The overall predation risk of artificial nests during summer was high (> 31.2%) and increased with proximity to the highway in the area with highest traffic volume. Synthesis and applications: Highways crossing alpine areas may attract boreal scavengers, possibly connected to increased access to subsidies of anthropogenic origin. Litter and food waste dominated available subsidies along highways in our study, and prevailing mitigating measures directed at reducing roadkill and movement restrictions may not be applicable to reduce negative effects of littering. We recommend actions focusing on informational campaigns, improved garbage disposal facilities and routines, and imposing fines for littering, to reduce negative impacts on vulnerable species. This is likely needed to achieve goals of "no impact" from the physical loss of habitats due to road development.</p>
Highways are a threat for giant armadillos (Priodontes maximus) that underpasses can mitigate
<p>We report 22 records of giant armadillo roadkill on Brazilian highways in the Cerrado, Pantanal and Amazon biomes illustrating that highways are a threat to this species. However, we also documented the species using underpasses, demonstrating that these structures could help to reduce the risk of roadkill for giant armadillos.</p>
Hitler highway, tunnel at Ostopovice
 Hitler's highway, In 1937 it began the construction of the Imperial Highway Vratislav - Vienna. The motorway should have a total length of 320 km. In spite of Czechoslovakia, he had to pass a stretch of 65 kilometers long. Officially separated from the state. All the raids were to be a German customs house. In 1942 the construction was stopped due to the deteriorating situation in Germany 8k difuse map, normal map, ambient occlusion map... Photogrammetry from 379 photos. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.