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.
5,023
datasets available to search
ShareScore release 0.9.0
Dataset results
5,023 results for “landing”
OCTOFORCE Environmental Land Marks
OCTOFORCE is an online, third-person, arena shooter, me and my team created for our final project in the VFS Game Design course. These are the main landmarks in our fishbowl level. The environment was given a more desaturated, and less cartoony look to contrast the characters, so that the players can easily spot the stylized pick-ups and characters. Source: Objaverse 1.0 / Sketchfab
B-29 Over Exposed Landing Gear
This is a photogrammetry scan of one of the landing gear assemblies from the crash site of Over Exposed, a Boeing RB-29A Superfortress. It was used as a photographic plane and took photos of some of the nuclear tests at Bikini Atoll. Sadly none of the crew members survived the crash. More info on the history can be found here: https://en.wikipedia.org/wiki/Bleaklow_Bomber Source: Objaverse 1.0 / Sketchfab
Northumberlandia land sculpture
Northumberlandia (the "Lady of the North") is a huge land sculpture in the shape of a reclining female figure, which was completed in 2012, near Cramlington, Northumberland, northern England. Made of 1.5 million tonnes of earth from neighbouring Shotton Surface Mine, it is 34 metres (112 feet) high and 400 metres (1,300 feet) long, set in a 19 hectares (47 acres) public park. Its creators claim that it is the largest land sculpture in female form in the world.[1] Processed with Agisoft Metashape in August 2020 using frames from a Youtube video - https://www.youtube.com/watch?v=lQoKTgduJsU It came out a bit patchy on the water and the shadows could do with being de-lit, but will likely drone scan it in myself one day when in that region to get a better result. Source: Objaverse 1.0 / Sketchfab
Data from study: Sixty-seven years of land-use change in southern Costa Rica
<p>This is the GIS data and imagery used for analyses in the article<br /> <em>Sixty-seven years of land-use change in southern Costa Rica</em> by Zahawi<br /> et al. currently in revision at PLOS One.<br /> <br /> This study required the orthorectification of historic aerial photographs, as well as forest cover mapping and landscape analysis of 320 km<sup>2</sup> around the Las Cruces Biological Station in San Vito de Coto Brus, Costa Rica. The imagery and GIS data generated were used to account for forest cover change over five different time periods from 1947 to 2014.<br /> <br /> The datasets supplied include GIS files for:</p> <ul> <li>Extent of the study area (shapefile).</li> <li>Forest cover mapped for each time period (geotiff).</li> <li>Imagery of the mosaics generated with the orthorectified historic aerial photographs (geotiff).</li> <li>Age in studied time periods of the current forest patches (shapefile).</li> <li>Connectivity lines inside the studied area (shapefiles).</li> </ul> <p>All files are in Costa Rica Transverse Mercator 2005 (CRTM05) projected coordinate reference system. For transformation between coordinate systems please refer to http://epsg.io/5367</p> <p>Aerial photographs for the years 1947, 1960, 1980 and 1997 were acquired from the Organization for Tropical Studies GIS Lab and the Instituto Geográfico Nacional of Costa Rica. The orthorectification process was done first on the 1997 set of images and used the current 1:50,000 and 1:25,000 Costa Rican cartography to identify geographical reference points. The set of 1997 orthophotos was used as a reference set to orthorectify remaining years with the exception of 1947 images. The orthorectification process and all other geospatial analyses were done on the CRTM05 spatial reference system and the resulting orthophotos had a 2m cell size. The largest Root Mean Square error (RMSE) of the orthorectification of these three time slices of aerial photographs was 15 m.</p> <p>Given the lack of information on flight parameters, and the expansive forest coverage in 1947 photographs, images were georeferenced and built into a mosaic using river basins and the few forest clearings that had a similar shape in the 1960 flyover. The 1947 set of images did not cover the whole study area, having empty areas without photographs that represented ˜12.1% of the analysis extent. Nonetheless, these areas were classified as forested given that forest was present in these same areas in the 1960 imagery.</p> <p>Forest mapping was done by visual interpretation of orthophotos and Google imagery. The areas were considered forested if tree crowns were easily identified when viewing the images at a scale of 1:10,000. In areas where it was difficult to discern the type of land cover, a scale of 1:5,000 was used. This was done to eliminate agroforestry systems such as shaded coffee areas (with trees planted in rows) or very early stages of forest regeneration from the forest land-cover class. The analysis was done only in areas that were cloud free in the five time slices. This resulted in the elimination of 134 ha (~0.4%) from of the original area outlined above. Polygons were drawn over the different areas using QGIS and were transformed into raster files of 10 m cell size.</p>
Butterflies show different functional and species diversity in relation to vegetation structure and land-use
<p>Using these data we investigated the relation between vegetation structure, land use and the diversity of species and traits in butterflies for the Netherlands.</p> <p>The research paper, now accepted for publication but not yet online, in the journal "Global Ecology and Biogeography", has the title "Butterflies show different functional and species diversity in relation to vegetation structure and land-use".</p> <p>Please see the methods used to create the dataset in the above mentioned manuscript.</p> <p>A description of the raster layers used in the above mentioned manuscript and available here has been uploaded together with the raster layers.</p>
Integrative assessment of climate change-related impacts and risks on urban land
<p>Shapefile data set estimating trends of mean annual terrestrial surface air temperature (°C) and mean annual total precipitation (mm) and several heat indicators for urban land, characterised by clusters of local spatial autocorrelation in regard to the age of urban area and the coefficient of variation of urban area extent over time.</p>
Dataset for Bukovsky et al. (2021): "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections"
<p>This dataset contains derived data and model data necessary for reproducing the results found in "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections" by Melissa S. Bukovsky, Jing Gao, Linda O. Mearns, and Brian C. O'Neill. This dataset contains data not otherwise available in other public archives, as noted in Bukovsky et al. (2021, Earth's Future; preprint available at https://doi.org/10.1002/essoar.10504141.2). That is, this dataset contains data from the land-use change simulations that are not part of NA-CORDEX (na-cordex.org), but which are complementary to those published in the NA-CORDEX archive.</p>
THESIS Tools Datasets: Land Use Tool - CLM5
<p>NCAR is coordinating the development of the Toolbox for Human-Earth System Integration and Scaling (THESIS) to facilitate linkages between the Community Earth System Model (CESM) and Integrated Assessment or impact models. THESIS consists of models and software tools to translate, scale, and synthesize information from and between human system models and CESM.</p> <p>Code and documentation for the Land Use Tool - CLM5 is currently hosted on github: https://github.com/lawrencepj1/clm5landusedatatool</p>
Data for One Earth publication "Breaching planetary boundaries: Over half of global land area suffers critical losses in functional biosphere integrity"
<p>This repository contains data and processing scripts for the study: Stenzel et al. 2025, One Earth, "Breaching planetary boundaries: Over half of global land area suffers critical losses in functional biosphere integrity".</p>
Vertical land motion due to present-day ice loss from Greenland's and Canada's peripheral glaciers
<p>Greenland's bedrock responds to the ongoing loss of ice mass with an elastic vertical land motion (VLM) that is measured by Greenland's GNSS Network (GNET). The measured VLM also contains other contributions, including the long-term viscoelastic response of the Earth to previous deglaciation.</p> <p>Greenland's ice sheet (GrIS) is producing the most significant contribution to the total VLM. The contribution of peripheral glaciers (PGs) from both Greenland (GrPGs) and Arctic Canada (CanPGs) has not been carefully accounted for in the GNSS time series analysis. This is a significant concern, since GNET stations are often closer to PGs than to the ice sheet. </p> <p>We find that PGs produce significant elastic rebound, especially in North and East Greenland. Across these regions, the PGs result in up to 37% of the elastic rebound. For a few stations in the North, the VLM from PGs is larger than the GrIS one.</p>
Land use information and NO2 observations of environmental monitoring stations in China
<p>The land use information for environmental monitoring stations in China is stored in the "<i>site_lu.csv" </i>file. The monthly NO2 observations from 2015 to 2017 are stored in the "<i>NO2_ground.csv</i>" file.</p>
BBN designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions
<p>Land-use change (deforestation for crops and pastures, reforestation, firewood removal, etc.) constitutes one of the primary drivers of global change, since human activity is to a greater or lesser degree altering the vegetation cover of the planet. The combined effects of climate change and shifts in land use determine the distribution and structure of the vegetation of the Sierra Nevada, and the associated ecosystem services. The surface cover of tree formations in Sierra Nevada has expanded from 15% to 51.23% over the last 60 years. Similarly, a densification of the scattered tree cover and the natural forests and a decline in the surface area occupied by cultivated fields (from 17.8% to 4.72%) has occurred in the last six decades (Zamora, et al, 2016). Therefore, it is important to ascertain future land use change and its effects on the vegetation cover. </p><p>The main purpose of this model is to facilitate the land-use management of Protected Areas (PAs) based on ecosystem services (ES). A BBN is being designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions. Afterwards, we will implement these scenarios in other ES assessment models. The analysis of ES trade-offs in several scenarios will help managers to predict the state of ES and their relations in the future.</p>
Data for the paper: The impact of Mediterranean mesoscale eddies on precipitations on land
<p>This dataset contains some raw model output, configuration files, and plotting scripts used to generate the results of the paper "The impact of Mediterranean mesoscale eddies on precipitations on land"</p>
Code and tables for main figures of Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020
<p>Code and tables to reproduce the main figures (2a,2b,3a,3b,4a,5a) of Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020.</p> <p> </p>
Data from: Prioritizing global land protection for population persistence can double the efficiency of habitat protection for reducing mammal extinction risk
<p>Halting the alarming rate of species extinction, driven primarily by habitat destruction, motivated the international community to adopt (2022) the Global Biodiversity Framework and it’s 23 targets aimed at reversing habitat and species loss. Due to urgency and resource constraints, a key challenge is meeting targets effectively and efficiently. Here we conduct a global prioritization linking 70,492 unique population maps and life history characteristics for 861 threatened terrestrial mammal species. Incorporating individual population data boosted viability for 84% more populations compared to using a more typical approach that uses species distributions alone, nearly doubling the security of long-term species persistence. We map and rank global mammal persistence priority areas and assess how well the current protected areas (PA) system captures these important regions. Our results will provide conservation actors a more direct and quantifiable linkage between conservation action and extinction risk than has previously been possible at a global scale.</p>
Large aircraft landing dataset at 20 large europen airports
<p>This dataset includes metadata of landing trajectories at 20 large European airports for the period from January 2019 to June 2023. The metadata have been sourced from ADS-B flight trajectories sourced from the OpenSky Network and EUROCONTROL's Network Manager. Notably, the dataset labels Go-Arounds, providing valuable insights into these specific flight maneuvers.<br><br>The proposed dataset includes the following:</p><ol><li><strong>stop</strong> [date time]: UTC time of landing.</li><li><strong>icao24</strong> [string]: Unique 24-bit (hexadecimal number) ICAO identifier of the aircraft concerned.</li><li><strong>callsign</strong> [string]: Aircraft identifier in air-ground communications.</li><li><strong>airport</strong> [string]: ICAO airport code where the aircraft is landing.</li><li><strong>ILS</strong> [list]: Designation of runways on which the aircraft performed its landing attempts.</li><li><strong>GoA</strong> [Boolean]: "True" if at least one Go-Around (GA) was performed, otherwise "False".</li><li><strong>n_attempts</strong> [integer]: Number of approaches identified for this flight.</li><li><strong>attempt_times</strong> [list]: List of timestamps at which a landing is attempted.</li><li><strong>market_segment</strong> [string]: Flight market segment.</li><li><strong>n_rwy_approached</strong> [integer]: Number of unique runways approached by this flight.</li><li><strong>AC_CLASS</strong> [string]: Aircraft class.</li><li><strong>C40_CROSS_TIME</strong> [string]: Timestamp at which the aircraft enters the ASMA cylinder.</li><li><strong>C40_BEARING</strong> [float]: Bearing between aircraft and airport when entering the ASMA cylinder.</li><li><strong>C40_CROSS_LAT</strong> [float]: Aircraft latitude when entering the ASMA cylinder.</li><li><strong>C40_CROSS_LON</strong> [float]: Aircraft longitude when entering the ASMA cylinder.</li></ol>
Data for "Unveiling the Global Extent of Land Subsidence: The sinking crisis"
<p>File ds01. Global dataset of subsidence rates.</p><p>File ds02. Zonal statistics and feature importance.</p><p>File ds03. Global raster map of subsidence rates.</p>
Data accompanying "Summer drought weakens land surface cooling of tundra vegetation"
<p>This dataset contains the spatial and meteorological data underlying the statistical analysis in:</p> <p><em>Rietze et al. (in press) - Summer drought weakens land surface cooling by tundra vegetation</em></p> <p>All code to preprocess, analyze and visualize this data can be found under <a href="https://github.com/nrietze/ArcticDroughtPaper">https://github.com/nrietze/ArcticDroughtPaper</a>.</p> <p>This dataset contains three major components:</p> <ol> <li>The drone-derived mosaics of multispectral, RGB, and thermal imagery.</li> <li>The training polygons used for the land cover classification.</li> <li>Meteorological and micrometeorological observations used in the analysis and descriptions of flight conditions. Internal data from the drone flights.</li> </ol> <p><strong>Folder structure:</strong></p> <pre><code>└───data ├───landcover ├───mosaics ├───shapefiles └───tables ├───intermediate └───results</code></pre> <p>Clone the Github repository before downloading this data and insert the contents of this dataset into the empty "data" folder from the Github repo.</p> <p><strong>Cite as:</strong></p> <p>Rietze, Nils, Assmann, Jakob J., Damm, Alexander, Naegeli, Kathrin, Karsanaev, Sergey V., Maximov, Trofim C.,Plekhanova, Elena, Schaepman-Strub, Gabriela. <em>(in press</em>). Summer drought weakens land surface cooling of tundra vegetation.</p> <p><strong>Abstract (from manuscript):</strong></p> <p>Siberia experienced a prolonged heat wave in the spring of 2020, resulting in extreme summer drought and major wildfires in the North Eastern Siberian lowland tundra. In the Arctic tundra, plants play a key role in regulating the summer land surface energy budget by contributing to land surface cooling through evapotranspiration. Yet we know little about how drought conditions impact plant-mediated land surface cooling by tundra plant communities, and related positive feedback to the high air temperatures. Here we used high-resolution land surface temperature and vegetation maps based on drone imagery to determine the impact of the extreme summer drought in 2020 on land surface cooling in the lowland tundra of North-Eastern Siberia. We found strong differences in land surface cooling among plant communities in the drought year 2020 and the reference year 2021. Further, we observed a decrease in the normalized land surface cooling between the two years using the water deficit index (WDI) across all plant communities during the drought year. This shift indicates an energy budget regime dominated by sensible heat fluxes, contributing to land surface warming. Overall, our findings suggest significant variation in land surface cooling among common Arctic plant communities in the North-Eastern Siberian lowland tundra and a pronounced effect of drought on all community types. Based on our results we suggest accounting for tundra plant communities if we want to accurately predict the impacts and consequences of droughts on land surface cooling and energy flux related processes such as permafrost thaw and wildfires.</p> <p><strong>Acknowledgements (from manuscript):</strong></p> <p>N.R. was supported through the TRISHNA Science and Electronics Contribution (T-SEC), an ESA PRODEX project (contract no. 4000133711). Drone data acquisition was supported by the University Research Priority Program on Global Change and Biodiversity of the University of Zurich and by the Swiss National Science Foundation (grant no. 178753). We would like to thank Geert Hensgens of VU Amsterdam for sharing the flux tower data at the research site with us.</p> <p> </p> <p> </p> <p> </p>
Spatial data of Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020
<p>Spatial data used in the main figures of the manuscript Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020. </p> <p>To reproduce Figure 4b sum the maps of Figure 2c+2e and Figure 4c sum the maps of Figure 2d+2e. </p> <p>To reproduce Figure 5b sum the maps of Figure 3c+3d. </p> <p>The shapefiles with the Brazilian Amazon and biogeographical Amazon are also provided. </p>
land cruiser del primo con cocacolas 2
remodelacion del primer modelo que realicé del toyota 6x6, un poco mas parecido al modelo original y con mejores materiales     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.