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85 results for “surface elevation”
Monthly changes in glacier surface elevation on HMA
<p><a href="https://zenodo.org/api/files/5c8e256d-a2db-43aa-9f1f-d421b1881b58/Time_Series_Glacier_Surface_Elevation.rar">Time_Series_Glacier_Surface_Elevation.rar</a> is Monthly changes in glacier surface elevation on HMA by ICESat-2 from Oct. 2018 to Nov. 2020.</p> <p><a href="https://zenodo.org/api/files/5c8e256d-a2db-43aa-9f1f-d421b1881b58/F477_c.rar">F477_c.rar</a> is the software used to calculate the undulation between the WGS84 ellipsoid (GPS height) and the EGM96 geoid (mean sea level) in C code (namely, f477.f).</p>
PI Data: Multispectral and Thermal Surface Imagery and Surface Elevation Mosaics (CAMSPEC-AIR)
<p>This data set contains high-resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems that have been processed for value-added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures six spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance. The code used to develop these images first uses tools from the Micasense Python library2 to apply dark level corrections, row gradient corrections, and radiometric corrections. Next, it uses the processing API from Agisoft Metashape software to align and mosaic the processed imagery, following the processes developed by the USGS' structure from motion workflow documentation.3 Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the six spectral bands, and a digital elevation model (DEM), a tif image containing information related to the elevation of the surveyed terraine. Metadata included in every image can be used to extract lat, lon, and reflectance values.</p> <p> </p> <p>Cite as: Tagestad, J., Nelson, K., Goldberger, L., Gonzalez-Hirshfeld, I. PI Data: Multispectral and Thermal Surface Imagery and Surface Elevation Mosaics (CAMSPEC-AIR). (02/04/2023 – 02/08/2023) ARM Data Center [Dataset]. DOI: 10.5439/1969041. <a href="http://arm.gov/capabilities/instruments/camspec-air">https://arm.gov/capabilities/instruments/camspec-air</a> , 2023.</p>
PI Data: Multispectral and Thermal Surface Imagery and Surface Elevation Mosaics (CAMSPEC-AIR)
<p>This data set contains high-resolution image products (orthomosaics) acquired from midsized uncrewed aerial systems that have been processed for value-added quality. The instrument itself, a multispectral imager, the Altum by Micasense, captures six spectral bands (red, green blue, NIR, red edge, and LWIR/thermal1) as radiance, which is converted to reflectance. The code used to develop these images first uses tools from the Micasense Python library2 to apply dark level corrections, row gradient corrections, and radiometric corrections. Next, it uses the processing API from Agisoft Metashape software to align and mosaic the processed imagery, following the processes developed by the USGS' structure from motion workflow documentation.3 Captures at different altitudes (recorded in MSL) produce an orthomosaic, a tif image containing information related to the six spectral bands, and a digital elevation model (DEM), a tif image containing information related to the elevation of the surveyed terraine. Metadata included in every image can be used to extract lat, lon, and reflectance values.</p> <p> </p> <p>Cite as: Tagestad, J., Nelson, K., Goldberger, L., Gonzalez-Hirshfeld, I. PI Data: Multispectral and Thermal Surface Imagery and Surface Elevation Mosaics (CAMSPEC-AIR). (07/09/2022 – 07/18/2022) ARM Data Center [Dataset]. DOI: 10.5439/1962600. https://arm.gov/capabilities/instruments/camspec-air , 2023.</p>
GNSS uplift time series and ice surface elevation changes
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Surface elevation change for Khumbu Glacier, 1984–2015
<p>Digital Elevation Model (DEMs) of Difference showing the change in surface elevation of Khumbu Glacier, Nepal, between 1984–2015 and 2000–2015 derived through the differencing of high-resolution DEMs generated from 0.5 m ground resolution aerial photographs (1984 CE) and WorldView-1 and WorldView-2 imagery with a spatial resolution of 0.46 m (2015 CE).</p>
Sentinel-3A and Sentinel-3B radar altimetry water surface elevation in the Zambezi catchment
<p>This dataset contains the data presented in Kittel et al. (2020): Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B, https://doi.org/10.5194/hess-2020-165</p> <p>The dataset is the full Sentinel-3A and 3B radar altimetry records for water surface elevation in the Zambezi catchment for all virtual stations containing at least 80% of the expected observations and predominantly single-peak waveforms. Not all VS have been manually checked or validated.</p> <p>Additionally the repository contains a shapefile with all Sentinel-3 virtual stations in the Zambezi.</p>
Water level elevation data for monitoring wells and surface water gages at the Colorado State University Mountain Campus, 2019 – 2023
<p>This dataset contains groundwater and surface water levels measured between 2019 and 2023 at the Colorado State University Mountain Campus. The study site is situated within a formerly glaciated valley traversed by a modern perennial stream, the South Fork Cache la Poudre River, and occurs near the subalpine-montane ecosystem transition at an approximate elevation of 2,750 meters above sea level. Water levels were measured at two transects (the upstream and downstream transects). Each transect includes a surface water gage, two shallow hand-augered monitoring wells on the valley floor within the riparian zone, and a deeper water table observation well located on the adjacent terrace. Water levels were measured at a subhourly frequency using a combination of vented and non-vented pressure transducers. All data from non-vented transducers were corrected for barometric pressure fluctuations.</p>
Comparable early-stage decomposition but contrasting underlying drivers between surface and cave habitats along an elevational gradient
<p>The folder includes r script and the data files used to conduct the data analysis in this project: Comparable early-stage decomposition but contrasting underlying drivers between surface and cave habitats along an elevational gradient.</p>
Cold Nitrogen Plasma: A Groundbreaking Eco-Friendly Technique for Surface Modification of Activated Carbon Aimed at Elevating Its CO2 Adsorption Capacity
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Dataset used in "Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: comparison of radar altimetry, LIDAR and photogrammetry techniques"
<p>Dataset for research paper "Unmanned Aerial System (UAS) observations of water surface elevation in a small stream: comparison of radar altimetry, LIDAR and photogrammetry techniques", published in Remote Sensing of Environment 2019, Elsevier Journal.</p> <p>Dataset includes:</p> <p>-MATLAB_codes.rar: zip file that contains MATLAB codes. MAIN.m is the main code, it refers to external functions that are included in the zip file. MAIN.m plots the figures of the paper in which we compare radar, LIDAR and photogrammetry and computes statistics of table 3 (table of the paper)</p> <p>-zip file WL_observations_Aomose.zip contains LIDAR, radar, and photogrammetry observations to be loaded by MATLAB code MAIN.m</p> <p>-the LIDAR Digital Surface Model (DSM_final.tif) retrieved in the stream Amose Å</p> <p>-the photogrammetry Digital Elevation Model (DEM_nov.tif) and orthomosaic (orthomosaic_nov.tif) </p> <p> </p>
Data from: Warming accelerates mangrove expansion and surface elevation gain in a subtropical wetland
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Data from: Elevated [CO2] mitigates the effect of surface drought by stimulating root growth to access sub-soil water
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Water level elevation data for monitoring wells and surface water gages at the Colorado State University Mountain Campus, 2019 – 2023
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Water surface elevations of the base flood for the central Arizona Flood Insurance Rate Maps (FIRM)
Water surface elevations of the base flood as approved by the Federal mergency management Agency (FEMA) for the Flood Insurance Rate Maps (FIRM). The base flood elevation, in feet, is in relation to the National Geodetic Vertical Datum of 1929. Profile baselines are for the Flood Insurance Rate Maps (FIRM). The cross section data are used for the production of Flood Insurance Rate Maps. The Flood Insurance Rate Maps (FIRMs) show different floodplains with different zone designations. These are primarily for insurance rating purposes, but the zone differentiation can be very helpful for other floodplain management purposes. The differentiated floodplain zones are used for the production of Flood Insurance Rate Maps. Maricopa County has been subdivided into FIRM panels for the publication and distribution of FIRMs. Profile baselines are for the Flood Insurance Rate Maps (FIRM).
Delta-X: AirSWOT L3 Water Surface Elevations, MRD, Louisiana, 2021, Version 2
This dataset contains water surface elevations at selected point locations generated from the AirSWOT data collected during the Spring and Fall 2021 Delta-X deployments over the Atchafalaya and Terrebonne basins in Louisiana, USA. AirSWOT uses near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data. The Level 3 (L3) data were created by masking land areas out of the AirSWOT Level 2 products, then filtering and averaging to the AirSWOT heights to produce water surface elevations at selected points throughout the scene. The AirSWOT elevation data are useful for calibrating elevation and slopes along the main channels, as well as tying observations to open ocean tidal conditions. AirSWOT performance in the floodplain was limited by the presence of vegetation and the very small slope characteristic of two dimensional floodplain discharge. Therefore, the bulk of the AirSWOT data collections were targeted at the larger channels, since the channel discharge provides the necessary boundary conditions for potential overflow to islands and floodplains. The data are provided in comma-separated values (CSV) format.
Surface Water Elevation and Quality, Peace-Athabasca Delta, Canada, 2006-2007
The Peace-Athabasca Delta (PAD) is a large boreal wetland located in northeastern Alberta, Canada at the confluence of the Peace and Athabasca Rivers with Lake Athabasca (Figures 1 and 2). A Ramsar Convention wetland and UNESCO World Heritage Site, it is among the world's most ecologically significant wetlands. This data set contains four comma-delimited ASCII files, two of which contain water surface elevation site and measurement information and two contain water quality and ancillary parameter location and measurement data for 120 sites within the PAD.Data archived include water surface elevation and water quality parameters measured at points throughout the Delta during summers 2006 and 2007. These data sets were originally collected to improve understanding of hydrologic recharge processes in low-relief environments and to provide ground-based measurements to validate satellite observations of inundation and sediment transport. All work was supported by the NASA Terrestrial Hydrology Program under grant NNG06GE05G to the Department of Geography, University of California-Los Angeles, Los Angeles, California.
Delta-X: In-situ Water Surface Elevation, MRD, Louisiana, USA, 2021
This dataset contains in situ water level measurements collected at 49 different locations across the Atchafalaya and Terrebonne basins in the Mississippi River Delta (MRD) floodplain, and 49 files with the in situ measurements from raw water level converted to absolute water surface elevation with respect to NAVD88 (GEOID12B). There were 65 sites included in the study, however, data from 16 of the sites were corrupted, unretrievable from the instrument or the instrument was lost during deployment. Additionally, it contains water surface elevations collected by GNSS mounted to a boat while underway, and a summary file with site information for all 65 sites. Relative water level measurements were recorded every 15-20 minutes using commercial pressure transducers (Levelogger, Solinst) to measure water depth. Water surface elevation was determined by measuring an absolute height conversion at each sensor location using AirSWOT or a survey-grade global navigation satellite system (GNSS). These water level measurements calibrate and validate the Delta-X campaign's remote sensing observations and hydrodynamic models. The data are provided in comma separated values (CSV) and JPEG image formats.
Delta-X: AirSWOT L2 Geocoded Water Surface Elevation, MRD, LA, 2021, V3
This dataset contains Level 2 (L2) AirSWOT geocoded products, including estimated water surface elevation. The AirSWOT instrument is a Ka-band interferometer and for this study is flown on the King Air B200 platform. Data were collected during the DeltaX airborne campaign over the Atchafalaya and Terrebonne basins of the Mississippi River Delta, Louisiana, USA. Flights occurred during the Delta-X Spring 2021 deployment from 2021-03-26 to 2021-04-18 and the Delta-X Fall 2021 deployment from 2021-08-21 to 2021-09-12. AirSWOT is capable of producing high resolution (3.6 m) digital elevation models over land and water bodies using near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data. The instrument includes six antennas that form multiple baseline pairs for along-track and across-track interferometry. AirSWOT elevation data are useful for calibrating elevation and slopes along the main channels, as well as tying observations to open ocean tidal conditions and is an airborne calibration and validation instrument for the Surface Water and Ocean Topography (SWOT) satellite. This Version 3 dataset provides updated data files due to an updated Calumet survey that changed the water level by 0.138 m. This resulted in all the AirSWOT water levels changing by that same amount. For these L2 products, only the estimated water surface elevation in respect to the WGS84 ellipsoid surface, and estimated height above the NAVD88 (GEOID12B) vertical datum files changed. Note that data acquired on September 1 and September 5, 2021 do not meet the expected MAE in-situ comparison and should be used with caution. This dataset contains cloud optimized GeoTIFF rasters in UTM map coordinates for each flight line. In addition, a text file provides basic metadata, including flight line ID, start and end UTC times of data acquisition, processor version number, and the date and time of different processing stages.
Pre-Delta-X: L2 AirSWOT Water Surface Elevations, Atchafalaya Basin, LA, USA, 2016
This dataset provides water surface elevations over the Wax Lake Delta in the Atchafalaya Basin in coastal Louisiana, USA, in May 2015. These Level 2 (L2) data were collected by AirSWOT, an airborne instrument employing near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and produce continuous gridded elevation data at 3.6 m resolution. Along with elevation estimates, the dataset includes measures of estimation errors, sensitivity, incidence angle, backscatter, and interferometric correlation. For this application, in situ water level data were added into the AirSWOT phase calibration procedure. These L2 data consist of a set of rasters in Universal Transverse Mercator (UTM) map coordinates for each of the 39 AirSWOT flight lines. These elevation data were later used for calculating elevation and slopes along the main channels in this wetland system, as well as tying observations to ocean tidal conditions.
Glacier surface elevation estimates for a glacier in the Poiqu river basin, Central Himalaya.
<p>This zip folder contains tif files representing glacier surface elevation estimates under two different scenarios of thinning towards the year 2100, informed by past (2000-2015) thinning rates which have been extrapolated into the future. </p> <p>These results are presented in the paper by Allen et al. 2022, <em>Glacial lake outburst flood hazard under current and future conditions: worst-case scenarios in a transboundary Himalayan basin, </em>Natural Hazards and Earth System Science, https://doi.org/10.5194/nhess-22-1-2022.</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.