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265 results for “terrain”
Data from: Steep and deep: Terrain and climate factors explain brown bear (Ursus arctos) alpine den site selection to guide heli-skiing management
<p>Winter recreation and tourism continue to expand worldwide, and where these activities overlap with valuable wildlife habitat, there is greater potential for conservation concerns. Wildlife populations can be particularly vulnerable to disturbance in alpine habitats as helicopters and snowmachines are increasingly used to access remote backcountry terrain. Brown bears (<i>Ursus arctos</i>) have adapted hibernation strategies to survive this period when resources and energy reserves are limited, and disturbance could negatively impact fitness and survival. To help identify areas of potential conflict between helicopter skiing and denning brown bears in Alaska, we developed a model to predict alpine denning habitat and an associated data-based framework for mitigating disturbance activities. Following den emergence in spring, we conducted three annual aerial surveys (2015–2017) and used locations from three GPS-collared bears (2008–2014) to identify 89 brown bear dens above the forest line. We evaluated brown bear den site selection of land cover, terrain, and climate factors using resource selection function (RSF) models. Our top model supported the hypothesis that bears selected dens based on terrain and climate factors that maximized thermal efficiency. Brown bears selected den sites characterized by steep slopes at moderate elevations in smooth, well-drained topographies that promoted vegetation and deep snow. We used the RSF model to map relative probability of den selection and found 85% of dens occurred within terrain predicted as prime denning habitat. Brown bear exposure to helicopter disturbance was evident as moderate to high intensities of helicopter flight tracking data overlapped prime denning habitat, and we quantified where the risk of these impact was greatest. We also documented evidence of late season den abandonment due to disturbance from helicopter skiing. The results from this study provide valuable insights into bear denning habitat requirements in subalpine and alpine landscapes. Our quantitative framework can be used to support conservation planning for winter recreation industries operating in habitats occupied by denning brown bears.</p>
Repository: Irregular Polygonal Ridge Networks in Ancient Noachian Terrain on Mars
<p>This repository contains:</p> <ol> <li>Shapefiles of irregular polygonal ridge networks within mapping extent.</li> <li>MOLA elevation and slope data extracted over mapped ridge networks.</li> </ol>
Couche vectorielle ponctuelle des mouvements de terrain en Haute-Savoie au 30/11/2023
<p>Couche vectorielle ponctuelle des mouvements de terrain en Haute-Savoie au 30/11/2023 générée dans QGIS depuis un jeu de données csv téléchargé sur le site gouvernemental Géorisques.</p>
Data and scripts for the submission "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models"
<p>Dataset and scripts used to generate Figures for "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models", submitted to the <strong><em>Journal of Advances in Modeling Earth Systems</em></strong> (JAMES).</p> <p>Scripts: Python and NCL</p> <p>Data: Netcdf, PNG, Python pickled objects</p>
Doklam 3D Terrain Model - Topographic
This is a 3D model of the Doklam Plateau region on the borders of India/China/Bhutan. It shows a number of strategic and tactical points. This model is designed to acompany an [associated report](https://pageflow.aspi.org.au/mappingdoklam) on the region. Please check that out too. There is also a version of this model with satellite imagery draped over the terrain available [here](https://skfb.ly/o78y8). Source: Objaverse 1.0 / Sketchfab
Doklam 3D Terrain Model - Satellite.
This is a 3D model of the Doklam Plateau region on the borders of India/China/Bhutan. It shows a number of strategic and tactical points. This model is designed to acompany an [associated report](https://pageflow.aspi.org.au/mappingdoklam) on the region. Please check that out too. There is also a version of this model with satellite imagery draped over the terrain available [here](https://sketchfab.com/3d-models/doklam-3d-terrain-model-topographic-43b05288772c4eab967ae5f544b28252). Source: Objaverse 1.0 / Sketchfab
Jerusalem, Israel - 3D Terrain Model
Jerusalem is a city in the Middle East, on a plateau in the Judaean Mountains between the Mediterranean and the Dead Sea. It is one of the oldest cities in the world, and is considered holy to the three major Abrahamic religions—Judaism, Christianity, and Islam. -Nate Loper Source: Objaverse 1.0 / Sketchfab
Lake Tahoe Terrain and Topography
This model was generated using the Terrain2STL tool (http://jthatch.com/Terrain2STL/) with a vertical scale of x4, water drop of 5 and base height of 2. This 3d model of Lake Tahoe shows the lake shape itself as well as the surrounding topography and immediage watershed. Source: Objaverse 1.0 / Sketchfab
Terrain Garment 2 / Diana Panagakis
Alpha 60 Flinders Lane Chapter House Melbourne Fashion Landscape Architecture Digital Technology Point Cloud Data Source: Objaverse 1.0 / Sketchfab
Long-term individual-based records of mountain goat mortality and terrain use in relation to avalanches in coastal Alaska during 2005-2022
<p>Snow is a major, climate-sensitive feature of the Earth's surface and a catalyst of fundamentally important ecosystem processes. Understanding how snow influences sentinel species in rapidly changing mountain ecosystems is particularly critical. Whereas the effects of snow on food availability, energy expenditure, and predation are well documented, we report how avalanches exert major impacts on an ecologically significant mountain ungulate - the coastal Alaskan mountain goat (<em>Oreamnos americanus</em>). Using long-term GPS data and field observations across four populations (421 individuals over 17 years), we show that avalanches caused 23-65% of all mortality, depending on area. Deaths varied seasonally and were directly linked to spatial movement patterns and avalanche terrain use. Population-level avalanche mortality, 61% of which comprised reproductively important prime-aged individuals, averaged 8% annually and exceeded 22% when avalanche conditions were severe. Our findings reveal a widespread but previously undescribed pathway by which snow can elicit major population-level impacts and shape demographic characteristics of slow-growing populations of mountain-adapted animals.</p>
Les paysages épongent : carnet de terrain
<p><span>Ce document présente les dessins de terrain réalisés au cours du projet de recherche <em>Les paysages épongent</em> sur la Zone atelier Plaine & val de Sèvre (Deux-Sèvres, France). <span>Cette recherche</span><em><span> </span></em><span>vise à mobiliser les outils de la médiation paysagère au service d’un processus de transition agroécologique à l’échelle d’un territoire de 460 km<sup>2</sup>, marqué par de fortes tensions sur la ressource en eau et l’érosion de la biodiversité. Le dessin est mobilisé dans cette recherche au cours d’une phase préalable de reconnaissance et de caractérisation des paysages, constituant un matériau de recherche et de potentiels outils pour organiser la médiation paysagère. Ces dessins ont été réalisés sur le terrain même de la ZAPVS, de manière à en relever les principales caractéristiques paysagères : reliefs, motifs, structures, atmosphères. En relation avec les enjeux climatiques et de gestion de l’eau, la part mouvante du paysage que représente le ciel, les flux de nuages et d’eau y tiennent une place significative.</span></span></p>
The Effects of Terrain Properties upon the Small Crater Population Distribution at Giordano Bruno: Implications for Lunar Chronology
<p>Derived data files from Williams et al. (2022) The Effects of Terrain Properties upon the Small Crater Population Distribution at Giordano Bruno: Implications for Lunar Chronology, submitted.</p>
procedural modelling terrain baked
ready for game, developed with blender. source file to download, the geometry nodes and shader nodes remains in the .blend file     Source: Objaverse 1.0 / Sketchfab
Shechem, Israel - 3D Terrain Map
Shechem is mentioned in the Bible as the first capital of the Kingdom of Israel. It was located in the tribal territorial allotment of the tribe of Ephraim. It is near the modern city of Nablus. Identified with the site of Tell Balata in the West Bank. "20 As to the rest of the Kohathites belonging to the Kohathite clans of the Levites, the cities allotted to them were out of the tribe of Ephraim. 21 To them were given Shechem, the city of refuge for the manslayer, with its pasturelands in the hill country of Ephraim, Gezer with its pasturelands," Joshua 21:20-21 ESV -Nate Loper Source: Objaverse 1.0 / Sketchfab
Considerations for high-resolution regional meteorological wind modelling over complex terrain: a typhoon case study for assessing forestry damage (data)
<p>This is the experiment data.</p> <p>The Weather Research and Forecasting (WRF) model is a popular and easily used as a numerical weather prediction (NWP) model, but configuring WRF to produce accurate results can be time-consuming. This is especially so when simulating extreme events, over complex terrain, or at high resolutions. In this study, a strong wind event from Tropical Cyclone (TC) Thad in year 1981 was simulated at 200 m resolution over an experiment forest in a mountainous region of Hokkaido island, Japan. The simulation configuration is challenging, in order to cover a larger area to produce a TC with appropriate track and intensity, and at the same time to resolve the smallest domain of sub-km grid spacing with computational stability. A mixed nesting method was applied with two-way nesting up for the first three domains, followed a separate simulation over the smallest domain. The mixed method could produce 10 min wind speed distributions similar to that of the full simulation with two-way nesting of all four domains, if a 30-minute boundary update interval was used for the separate simulation. Mixed nesting improves the efficiency of the simulation process, since the larger phenomenon scale and smaller human impact scale can be tuned separately. </p>
Fig. 2. Hilly terrain 5 in Early summer aspect of butterflies (Lepidoptera: Papilionoidea) of Republic of Khakassia as examined in 2000, with some additional data
Fig. 2. Hilly terrain 5 km NNE of Parnaya Village Рис. 2. ХоΛмистая местность 5 км ССВ с. Парная
Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Churfirsten ASCII
<p>Multiscale elevation models centered on Churfirsten, Switzerland</p> <p>Resolutions: 0.5, 2, 5, 10, 15, 30, 60, 120, 250, 500, 1,000, and 2,000 meters, 3,000 × 2,500 height samples each</p> <p>File format: Esri ASCII grid</p> <p>When using these elevation models in an academic publication, please cite the following article, which describes the process and rationale for compiling these models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
GIS data - Klasifikační model terénního reliéfu ČR | GIS data - Terrain Classification Model of the Czech Republic
<p>GeoTIFF layer (8 x 8 m) based on areial laser scanning data, containing a relief classification model of the Czech Republic processed according to the procedure described in a separately published article (see https://www.researchgate.net/publication/333633314_Wykorzystanie_ALS_do_zautomatyzowanej_analizy_krajobrazom_krajobrazom_krajobrazu_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use).</p>
Data accompanying the paper titled: Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain.
<p>The present repository contains the namelists, output data from the Weather Research and Forecasting (WRF) numerical simulations and observations described in the article "Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain" submitted to the Geosciences Model Development journal.</p> <p>The numerical simulations were developed to evaluate the influence of a forest parametrization on the simulation of the boundary layer flow over moderate complex terrain in the context of the Perdigão 2017 field campaign. The numerical simulations used WRF large eddy simulation mode (WRF-LES). The short-term high resolution (40 m horizontal grid spacing) and long-term (200 m horizontal grid spacing) WRF-LES were run for an integration time of 12 hours and 1.5 months, respectively, with and without forest parameterization. The short-term simulations focus on low-level jet events over the valley, while the long-term simulations cover the whole intensive observation period (IOP) of the field campaign. The results are validated using lidar and meteorological tower observations.</p> <p>The files in the repository are organized as follows:</p> <p>Namelists used to run the WRF model are located in the 'namelists' sub-directory.</p> <p>Data slices of domains d03 and d04 covering the location of the three meteorological towers and LIDAR for the whole integration time are located in the 'reduced_domain' sub-directory.</p> <p>Direct WRF output for selected periods (representing the low-level-jet episodes observed) for domains d03 and d04 are located in the 'files_select_time' sub-directory.</p> <p>The observations used to validate the model are located in the 'observations' sub-directory. The complete dataset of observations from the field campaign can be found in the official campaign data repository: re3data.org: Perdigao Field Experiment; editing status 2020-03-20; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R31NJMN4 last accessed: 2021-10-13. The WRF model can be downloaded from https://www2.mmm.ucar.edu/wrf/users/download/get_sources_new.php.</p>
Multivariate projected ensemble of "Downscaling CORDEX through deep learning to daily 1 km multivariate ensemble in complex terrain"
<p>Multivariate statistically downscaled projected ensemble for different combinations of GCM-RCMs of both stochastic and deterministic runs for eight historical runs, eight RCP85 runs and one RCP26 run. Selection of good perfoming GCM-RCM combinations in NetCDF format. Variables: precipitation, water vapour pressure, radiation, wind speed, and, maximum, mean and minimum temperature.</p>
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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.