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51 results for “geomorphology”
DISASTER database on hydro-geomorphologic disasters in Portugal
<p>In the last century, Portugal was affected by several natural disasters of hydrogeomorphologic origin that often caused high levels of destruction. However, data on past events related to floods and landslides were scattered. The DISASTER project created a consistent and validated hydro-geomorphologic database for Portugal, by creating, disseminating and exploiting a GIS database on disastrous floods and landslides for the period 1865–2010, further updated until 2020.</p> <p>Data collection was steered by the concept of disaster used within the DISASTER project. Therefore, any hydro-geomorphological case is stored in the database if the occurrence led to fatalities or injuries, and missing, evacuated or displaced people, independently of the number of people affected.</p> <p>The sources of information are 16 national, regional and local newspapers that implied the analysis of 145,344 individual newspapers. The hydro-geomorphologic occurrences were stored in a database containing two major parts: the characteristics of the hydro-geomorphologic case and the corresponding damages. We provide the main results of the DISASTER database for the public.</p> <p>Further details about the data collection and exploitation can be found in the following paper: </p> <p>Zêzere, J.L., Pereira, S., Tavares, A.O. <em>et al.</em> DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal. <em>Natural Hazards</em> <strong>72</strong>, 503–532 (2014). https://doi.org/10.1007/s11069-013-1018-y</p> <p>We provide a shapefile with the location of the hydro-geomorphological hazard for the period 1865-2020 for mainland Portugal and additional details about the hydrogeomorphological hazard type and subtype, date of occcurrence, year, month, day, hour, georeferencing quality, source, source date, source type, page in the source, number of human damages (fatalities, injured, evaciated, displaced and missing people), district, municipality and parish.</p> <p>Also, we provide a word document with the database codes description.</p>
Mangrove soil biogeochemistry and geomorphology data from Biscayne National Park, Florida, USA, 2011 - 2024
We quantified long-term changes in tidal hydrology and surface soil elevation (2011-2024) across two representative fringe mangrove forest sites (BISC-1, BISC-2) in Biscayne National Park (Florida, USA). We measured the spatiotemporal variation of monthly wrack deposition, litter breakdown rates, soil organic carbon, and stable isotope δ13C and δ15N content along landward transects in Biscayne National Park (Florida, USA) from 2022 to 2024. We surveyed marine wrack deposition biovolume monthly using a quadrat in plots along our transects. At each marine wrack survey plot, we collected soil cores seasonally to measure soil physicochemistry. Finally, we deployed leaf litter decomposition mesh bags with Rhizophora mangle leaf litter, Thalassia testudinum leaf litter, and teabag standards to quantify breakdown rates on the soil surface of each marine wrack survey plot. Data collection is complete.
Data from: Effects of dispersal and geomorphology on riparian seedbanks and vegetation in a boreal stream
<p>SiteData: information that describes 20 riparian zones along Svartån, a boreal free-flowing stream, indicated per LocationID (column A). Coordinates are given in SWEREF 99 TM (column B and C) and degrees of longitude and latitude (column D and E). RPD refers to River Process Domain and takes one of three forms: lake, rapid or slow-flowing. Side of stream indicates plot placement when looking towards downstream. Data collection is described in the paper linked to below. </p> <p> </p> <p>LitterData: information that describes species lists of litter seedbanks from 20 riparian sites. Litter samples were taken in an unstandardised manner at each location. LocationID refers to locations as described in file SiteData, RPD refers to River Process Domain and takes one of three forms: lake, rapid or slow-flowing.</p> <p> </p> <p>SeedData: information that describes the soil seedbank composition from 20 riparian sites. LocationID refers to locations as described in file SiteData, RPD refers to River Process Domain and takes one of three forms: lake, rapid or slow-flowing. Layer refers to samples that are taken from from layer 0-1 cm in the soil, 1-5 cm or from 5-10 cm deep. Data collection is described in the paper linked to below. </p> <p> </p> <p>VegetationData: information that describes vegetation composition from 20 riparian sites. LocationID refers to locations as described in file SiteData, RPD refers to River Process Domain and takes one of three forms: lake, rapid or slow-flowing. Abundance is indicated following the categories in Table 1. Data collection is described in the paper linked to below. </p> <p> </p> <p>Table 1. Vegetation cover classes.</p> <table> <tbody> <tr> <td> <p><strong>Code</strong></p> </td> <td> <p><strong>Cover (%)</strong></p> </td> </tr> <tr> <td> <p>0</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>1</p> </td> <td> <p><1</p> </td> </tr> <tr> <td> <p>2</p> </td> <td> <p>1-3</p> </td> </tr> <tr> <td> <p>3</p> </td> <td> <p>3-5</p> </td> </tr> <tr> <td> <p>4</p> </td> <td> <p>5-15</p> </td> </tr> <tr> <td> <p>5</p> </td> <td> <p>15-25</p> </td> </tr> <tr> <td> <p>6</p> </td> <td> <p>25-50</p> </td> </tr> <tr> <td> <p>7</p> </td> <td> <p>50-75</p> </td> </tr> <tr> <td> <p>8</p> </td> <td> <p>75-100</p> </td> </tr> </tbody> </table> <p> </p> <p>For more information, help or collaboration, please contact Jacqueline.Hoppenreijs@kau.se. If you use the data here in your work or research, please cite the publication appropriately.</p>
River network and hydro-geomorphological parameters at 1/12° resolution for global hydrological and climate studies
<p>Global scale river routing models (RRMs) are commonly used in a variety of studies, including studies on the impact of climate change on extreme flows (floods and droughts), water resources monitoring or large scale flood forecasting. Over the last two decades, the increasing number of observational datasets, mainly from satellite missions, and the increasing computing capacities, have allowed better performances of RRMs, namely by increasing their spatial resolution. The spatial resolution of a RRM corresponds to the spatial resolution of its river network, which provides flow direction of all grid cells. River networks may be derived at various spatial resolution by upscaling high resolution hydrography data.<br> This paper presents a new global scale river network at 1/12° derived from the MERIT-Hydro dataset. The river network is generated automatically using an adaptation of the Hierarchical Dominant River Tracing (DRT) algorithm, and its quality is assessed over the 70 largest basins of the world. Although this new river network may be used for a variety of hydrology-related studies, it is here provided with a set of hydro-geomorphological parameters at the same spatial resolution. These parameters are derived during the generation of the river network and are based on the same high resolution dataset, so that the consistency between the river network and the parameters is ensured. The set of parameters includes a description of river stretches (length, slope, width, roughness, bankfull depth), floodplains (roughness, sub-grid topography) and aquifers (transmissivity, porosity, sub-grid topography).<br> The new river network and parameters are assessed by comparing the performances of two global scale simulations with the CTRIP model, one with the current spatial resolution (1/2°) and the other with the new spatial resolution (1/12°). It is shown that CTRIP at 1/12° overall outperforms CTRIP at 1/2°, demonstrating the added value of the spatial resolution increase.<br> The new river network and the consistent hydro-geomorphology parameters may be useful for the scientific community, especially for hydrology and hydro-geology modelling, water resources monitoring or climate studies.</p>
Soil carbon and nitrogen stock data for dominant geomorphological terrain units in Qarlikturvik Valley, Bylot Island, Arctic Canada
<p>Dataset for the manuscript 'The distribution of soil carbon and nitrogen stocks among dominant geomorphological terrain units in Qarlikturvik Valley, Bylot Island, Arctic Canada.' to appear in the 'Journal of Geophysical Research: <em>Biogeosciences'.</em></p>
Coweeta LTER Synoptic Data from 56 sampling sites located in the Upper Little Tennessee River Basin from 2009 (geomorphological)
Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. Each entity represents a table found in the downloadable relational database. NOTE: There is only 1 database to download regardless of which entity you choose. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars
<p>The dataset contains 16150 samples extracted from 163 CTX images. Each sample depicts one of fifteen Martian surface landforms. One CTX image contributed with at least three and at most 1247 patches to the creation of the dataset. The dataset is subdivided into training, test, and validation sets, which contain seventy, ten, and twenty percent of the samples. The sets are mutually exclusive. Each sample has a size of 200 x 200 px or roughly 1.2km x 1.2km.</p> <p><strong>Contents</strong></p> <ul> <li>data.zip contains the dataset separated into training, validation, and test sets. </li> <li>models.zip contains pre-trained neural networks.</li> </ul> <p><strong>Classes</strong></p> <ul> <li><strong>Aeolian Bedforms</strong> <ul> <li>Aeolian Curved (ael)</li> <li>Aeolian Straight (aec)</li> </ul> </li> <li><strong>Topographic Landforms</strong> <ul> <li>Cliff (cli)</li> <li>Ridge (rid)</li> <li>Channel (fsf)</li> <li>Mounds (sfe)</li> </ul> </li> <li><strong>Slope Feature Landforms</strong> <ul> <li>Gullies (fsg)</li> <li>Slope Streaks (fse)</li> <li>Mass Wasting (fss)</li> </ul> </li> <li><strong>Impact Landforms</strong> <ul> <li>Crater (cra)</li> <li>Crater Field (sfx)</li> </ul> </li> <li><strong>Basic Terrain Landforms</strong> <ul> <li>Mixed Terrain (mix)</li> <li>Rough Terrain (rou)</li> <li>Smooth Terrain (smo)</li> <li>Textured Terrain (tex)</li> </ul> </li> </ul> <p><strong>Code</strong></p> <p>Python code to train, evaluate, and apply deep neural networks to Martian surface data is available at GitHub: <a href="https://github.com/thowilh/geomars">https://github.com/thowilh/geomars</a></p> <p><strong>Attribution</strong></p> <p>If you find this work useful please consider citing:</p> <p>Wilhelm, T.; Geis, M.; Püttschneider, J.; Sievernich, T.; Weber, T.; Wohlfarth, K.; Wöhler, C. DoMars16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars. Remote Sens. 2020, 12, 3981.</p> <pre><code>@article{wilhelm2020domars16k, doi = {10.3390/rs12233981}, url = {https://doi.org/10.3390/rs12233981}, year = {2020}, month = dec, publisher = {{MDPI} {AG}}, volume = {12}, number = {23}, pages = {3981}, author = {Thorsten Wilhelm and Melina Geis and Jens P\"{u}ttschneider and Timo Sievernich and Tobias Weber and Kay Wohlfarth and Christian W\"{o}hler}, title = {{DoMars}16k: A Diverse Dataset for Weakly Supervised Geomorphologic Analysis on Mars}, journal = {Remote Sensing} }</code></pre> <p> </p>
Data for: Glacial and Periglacial Geomorphology of the Drang Drung, Haskira, and Pensilungpa glaciers, Trans-Himalayan Ladakh, India
<p>The geopackage contains the glacial and periglacial geomorphological landforms/features of Drang Drung, Haskira and Pensilungpa glacier valleys mapped from a combination of Planetscope images and Pléiades data (images and digital surface model)</p>
Characterization and morphometry of prone and affected watersheds by hydro-geomorphological processes in the Serra do Mar Mountain Range, southeastern Brazil: foundation for planning and mitigation actions.
<p>Data: shapefile, tables, and kmz files. </p> <ol> <li>SHAPEFILES</li> </ol> <p>- Dataset with watersheds mapped in the Serra do Mar Paulista Region in the follow cities:</p> <ul> <li>Ubatuba (Abbvr. WU)</li> <li>Caraguatatuba (Abbvr. WC)</li> <li>São Sebastião (Abbvr. WSS)</li> <li>Bertioga (Abbvr. WB)</li> <li>Santos (Abbvr. WS)</li> <li>Praia Grande (Abbvr. WPG)</li> <li>Cubatão (Abbvr. WCUB)</li> <li>São Vicente (Abbvr. WSV)</li> <li>Itanhaém (Abbvr. WITA)</li> <li>Peruíbe (Abbvr. WPERU)</li> <li>Iguape (Abbvr. WIGUA)</li> <li>Itariri (Abbvr. WITR)</li> <li>Pedro de Toledo (Abbvr. WPDT)</li> <li>Iporanga (Abbvr. WIPORA)</li> <li>Apiaí (Abbvr. WAPI)</li> <li>Itaoca Abbvr. WITAO)</li> </ul> <p>- Each shapefile contain information about altitude (min., max, and mean), area (km²), and length (km). </p> <p>- Debris-flow Inventory shapefile.</p> <p> 2. TABLES</p> <ul> <li>Tables for the watersheds mapped in each cities also contain information about the morphometric parameters (melton ratio, basin relief, and relief ratio).</li> <li>Debris-flow inventory information. </li> </ul> <p> </p>
Data and code from: Geomorphological processes shape plant community traits in the Arctic
<p><strong>Aim</strong></p> <p>Geomorphological processes profoundly affect plant establishment and distributions, but their influence on functional traits is insufficiently understood. Here, we unveil trait-geomorphology relationships in Arctic plant communities.</p> <p> </p> <p><strong>Location</strong></p> <p>High-Arctic Svalbard, low-Arctic Greenland, and sub-Arctic Fennoscandia.</p> <p> </p> <p><strong>Time period</strong></p> <p>2011-2018</p> <p> </p> <p><strong>Major taxa studied</strong></p> <p>Vascular plants</p> <p> </p> <p><strong>Methods</strong></p> <p>We collected field-quantified data on vegetation, geomorphological processes, microclimate, and soil properties from 5280 plots and 200 species across the three Arctic regions. We combined these data with database trait records to relate local plant community trait composition to dominant geomorphological processes of the Arctic, namely cryoturbation, deflation, fluvial processes, and solifluction. We investigated the relationship between plant functional traits and geomorphological processes using hierarchical generalised additive modelling.</p> <p> </p> <p><strong>Results</strong></p> <p>Our results demonstrate that community-level traits are related to geomorphological processes, with cryoturbation most strongly influencing both structural and leaf economic traits. These results were consistent across regions, suggesting a coherent biome-level trait response to geomorphological processes.</p> <p> </p> <p><strong>Main conclusions</strong></p> <p>The results indicate that geomorphological processes shape plant community traits in the Arctic. We provide empirical evidence for the existence of generalisable relationships between plant functional traits and geomorphological processes. The results indicate that the relationships are consistent across these three distinct tundra regions and that geomorphological processes should be considered in future investigations of functional traits.</p> <p> </p> <p>Kemppinen, Niittynen, Happonen, le Roux, Aalto, Hjort, Maliniemi, Karjalainen, Rautakoski & Luoto. Provisionally accepted. Geomorphological processes shape plant community traits in the Arctic. Global Ecology and Biogeography.</p> <p>These are the data and code from Kemppinen et al. (Provisionally accepted).</p>
Geomorphology shapes relationships between animal communities and ecosystem function in large rivers
<p class="MsoNormal"><span>Understanding how the Earth's surface (i.e., 'nature's stage') influences connections between biodiversity and ecosystem function (BEF) is a central objective in ecology. Despite recent calls to examine these connections at multiple trophic levels and at more complex and realistic scales, little is known about how landscape structure shapes BEF relationships among animal communities in nature. We coupled high-resolution habitat mapping with extensive field sampling to quantify connections among the geophysical habitat templet, invertebrate assemblages, and secondary production in two large North American riverscapes. Patterns of sediment size governed invertebrate assemblage structure, with particularly strong effects on composition, richness, and taxonomic and functional diversity. These relationships propagated to drive positive relationships between biodiversity and secondary production that were modified by scale, context-dependencies, and anthropogenic modification. Finally, leveraging spatially explicit descriptions of geophysical and biological properties, we uncovered distinct and nested spatial scales of biodiversity and secondary production, and suggest that multiple geophysical processes simultaneously influence these patterns at different scales. Together, our findings advance our understanding of relationships between the physical templet and patterns of BEF, and help to predict </span>how perturbations to the Earth's surface may propagate to influence biodiversity and energy flux through food webs.<span> </span></p>
Data from: Geomorphological signatures of known hurricanes and validation of theoretical emplacement formulations: coastal boulder deposits on Cuban low-lying marine terraces
<p>Here we show the models made from SfM photogrammetry for 5 boulders found on the Cuban island emplaced by three hurricanes on the low marine terrace. To generate a 3D-scaled SfM point cloud of each studied boulder, we adapted an easy SfM workflow using Agisoft Metashape software (version 1.7.2). We surveyed each CBD obtaining pictures between 0.5 m - 3 m distance from the boulder and also climbing on the boulder to maximise the diversity of picture angles. The survey was carried over a time lapse of ~30 minutes and under cloudy conditions to avoid shadows created by direct sunlight. For scaling SfM results and assessing the quality of measurements, we used six wooden balls as photogrammetric targets. The diameter of the balls is 30 ± 0.2 x 10-3 m, as verified by repeated caliper measurements. We complemented these targets with two 70 x 10 cm wooden scales. All these targets were used as reference scale bars to correct the spherical distortion inherent to the camera optics and perform an auto-calibration. We further used these targets to check possible distortion after post processing and the generation of the resulting 3D model. In order to create a point cloud and a solid volume, we followed the software workflow: we first aligned the images to identify tiepoints, which were then used in bundle adjustment to compute the 3D dense clouds in a second step.</p>
Paramāra study area : geological, geomorphological, lineament, and water resource maps
<p>Paramāra study area : geological, geomorphological, lineament, and water resource maps</p>
Data for "Global Riverine Export of Dissolved Lignin Constrained by Hydrology, Geomorphology and Land-Cover"
<p>Dataset for the "Global Riverine Export of Dissolved Lignin Constrained by Hydrology, Geomorphology and Land-Cover". Dataset 01 includes site locations, basin area, dissolved organic carbon (DOC), dissolved lignin concentration and relevant references. Dataset 03 includes mean/discharge-weighted DOC, mean/discharge-weighted dissolved lignin concentrations. Dataset 03 includes geomorphological, climatic, hydrological and land-cover data for the 25 rivers. Dataset 04 includes the reconstructed yield of dissolved lignin and basin area of the 79 rivers.</p>
Geomorphology shapes relationships between animal communities and ecosystem function in large rivers
Open the record for dataset details and reuse information.
Geomorphology of Ball Creek and Coweeta Creek in 1989
Measurements of geomorphological parameters were made every 10m along the entire length of Ball Creek / Coweeta Creek down to the Forest Service boundary. Measurements started 300m from the headwaters because most of the first 300m are underground.
Intensive Stream Survey Geomorphology Data from 2010 to 2011 at the Coweeta Hydrologic Laboratory, Otto, NC
From June 2010 until February 2011, fifty streams were surveyed to determine the physical characteristics of streams in forested, traditional land use, and developed settings. Cross-sectional measurements were taken at 16 cross-sections on each reach. The distance between each cross-section was twice the average active channel width (which was determined prior to the survey). At one to three locations within each surveyed reach, slope was determined by placing a laser level at a location upstream and then measuring the amount of elevation change at the water surface. Between each cross-section, the instream habitat was recorded. Large woody debris was measured where it was found within the surveyed reach of the stream. Only LWD with diameter >10 cm was measured. At a representative riffle within the reach, a Wolman pebble count (100 randomly selected pieces of sediment) was taken.
Data from: How temporal patterns in rainfall determine the geomorphology and carbon fluxes of tropical peatlands
Tropical peatlands now emit hundreds of megatons of carbon dioxide per year because of human disruption of the feedbacks that link peat accumulation and groundwater hydrology. However, no quantitative theory has existed for how patterns of carbon storage and release accompanying growth and subsidence of tropical peatlands are affected by climate and disturbance. Using comprehensive data from a pristine peatland in Brunei Darussalam, we show how rainfall and groundwater flow determine a shape parameter (the Laplacian of the peat surface elevation) that specifies, under a given rainfall regime, the ultimate, stable morphology, and hence carbon storage, of a tropical peatland within a network of rivers or canals. We find that peatlands reach their ultimate shape first at the edges of peat domes where they are bounded by rivers, so that the rate of carbon uptake accompanying their growth is proportional to the area of the still-growing dome interior. We use this model to study how tropical peatland carbon storage and fluxes are controlled by changes in climate, sea level, and drainage networks. We find that fluctuations in net precipitation on timescales from hours to years can reduce long-term peat accumulation. Our mathematical and numerical models can be used to predict long-term effects of changes in temporal rainfall patterns and drainage networks on tropical peatland geomorphology and carbon storage.
Massaciuccoli Lake basin in Tuscany, Italy. Datasets of 75 environmental, geomorphologic, and socio-economic variables associated from remote past to remote future
<p>Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy. <br>The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5)<br>Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution.<br>Vector data have been aligned and cut over the basin boundaries.<br>A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file. </p> <p>A metadata file (in MS Excel format) reports data content descriptions, the primary sources, their FAIRness levels, and the direct links to the primary sources when available. <br>The dataset numbers are aligned to the table Id-column entries.</p>
Supplementary material for: AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS
<p>Supplementary material for: TCII/10-AIRBORNE LASER SCANNING CHANGE DETECTION FOR QUANTIFYING GEOMORPHOLOGICAL PROCESSES IN HIGH MOUNTAIN REGIONS</p> <p>For submission of the full paper to: International Society for Photogrammetry and Remote Sensing (ISPRS) / <strong>XXIV ISPRS Congress 2022 Nice, France, 6 - 11 June 2022</strong>.</p> <p><strong>ADDITIONAL FIGURES AND MAPS</strong><br> Supplementary materials:<br> Figure S1: Classification preparation and decision tree.<br> Figure S2: 3D distance change and change offset overall map.<br> Figure S3: Geomorphological map inventoried by manual mapping.<br> Figure S4: Classified real changes of the valley area between 2006 and 2017.<br> Figure S5: Classified real changes between 2006 and 2017.</p> <p> </p> <p> </p> <p> </p>
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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.
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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.
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