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20 results for “UTMs”
Parramore Island of the Virginia Coast Reserve Permanent Plot Coordinates: UTM (NAD83/GRS80) zone 18 2002
Coordinates of Parramore Island Permanent Vegetation Monitoring Plots. Coordinates are for plot center. Projection = UTM zone 18. Units = meters. Datum/Spheroid = NAD83/GRS80. These coordinates should be equivalent to those received by GPS using the WGS84 spheroid, and are in the form most useful for navigating in the field using handheld GPS. GPS locations are only approximate. See notes from the 1996 and 1992-93 surveys for additional descriptiions of the plot coordinates, including triangulation details from local landmarks.
Fig. 1.- Mapa UTM 10x10 in Primeras citas de Proserpinus proserpina (Pallas, 1772) (Lepidoptera: Sphingidae) para la provincia de Ávila (Castilla y León, España).
Fig. 1.- Mapa UTM 10x10 de la provincia de Ávila, con las citas nuevas de Proserpinus proserpina (Pallas, 1772) marcadas en gris.
Database of Geographic Information: Aspect 30_utm
This dataset has been created to meet the needs of the research community of Arizona State University. Aspect can be thought of as the slope direction. It identifies the down-slope direction of the maximum rate of change in value (elevation) from each DEM cell to its neighbor cells. The values of the output grid are the compass direction of the aspect. The data is derived from the 30 meter Digital Elevation Model created for Central Arizona - Phoenix LTER (dem30_utm).
Richness (species numbers) of butterflies in the Iberian Peninsula on a 50 x 50 km UTM grid
<p>This file contains the on richness (species numbers) of butterflies from the Iberian Peninsula as they were used to model richness on contemporary climatic and non-climatic variables, then to forecast richness values to future climate scenarios. This is a text *.csv file.</p>
Richness (species numbers) of butterflies in the Iberian Peninsula on a 50 x 50 km UTM grid
Open the record for dataset details and reuse information.
P1-P15_unict_utm_glucosinolate_qPCR
<p>P1-P15_unict_utm genes in glucosinolate pathway qPCR data</p>
Modelized harvest dates (2005-2023) by crop and UTM 10x10 km grid in peninsular Spain
<p><strong>Predictor data</strong></p> <ul> <li>Meteorological data sets were obtained from CHELSA (www.chelsa-climate.org) and the Spanish Meteorological Agency (www.aemet.es).</li> <li>Cartographic bases (administrative boundaries, elevation model, UTM grid) were obtained through the services provided by the Spatial Data Infrastructure of Spain (www.idee.es).</li> <li>Harvest dates were provided by Agroseguro (www.agroseguro.es), a management entity responsible for the management of agricultural insurance in the name and on behalf of insurance companies that are part of the Spanish co-insurance pool. </li> </ul> <p> A GLMM was generated to predict the harvest week of the year for barley and wheat in mainland Spain by 10x10 km UTM grid.</p> <p><strong>Columns </strong>in the dataset are:</p> <ul> <li>utmcode</li> <li>year</li> <li>wheat_harvest_week</li> <li>barley_harvest_week</li> </ul> <p>Harvest week according to ISO 8601-1:2019 (<a href="https://www.iso.org/iso-8601-date-and-time-format.html">ISO - ISO 8601 — Date and time format</a>)</p>
BOREAS HYD-08 DEM Data over the NSA-MSA and SSA-MSA in UTM Projection
These DEMs were produced from digitized contours at a cell resolution of 100 meters. Vector contours of the area were used as input to a software package that interpolates between contours to create a DEM representing the terrain surface. The vector contours had a contour interval of 25 feet. The data cover the BOREAS MSAs of the SSA and NSA and are given in a UTM map projection.
ASO L4 Lidar Snow Depth 3m UTM Grid V001
This data set contains 3 m gridded snow depths derived from airborne light detection and ranging, or lidar, measurements of surface elevations. The data were collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns.
SnowEx20-21 QSI Lidar DEM 0.5m UTM Grid V001
This data set is part of the SnowEx 2021 campaign and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 0.5 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/8RBIUIPEUJ7Z">Vegetation Height</a> and <a href="https://doi.org/10.5067/VBUN16K365DG">Snow Depth</a> data sets.
PALS/In Situ Multi-Campaign 800 m UTM Grid Brightness Temperature, Backscatter, and Soil Moisture Match-Up V001
This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08).
SnowEx20-21 QSI Lidar Vegetation Height 3m UTM Grid V001
This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/VV382L4MQI7V">DEM</a> and <a href="https://doi.org/10.5067/4VO7438DP332">Snow Depth</a> data sets.
SnowEx20-21 QSI Lidar Snow Depth 0.5m UTM Grid V001
This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/YO583L7ZOLOO">DEM</a> and <a href="https://doi.org/10.5067/8RBIUIPEUJ7Z">Vegetation Height</a> data sets.
SnowEx20-21 QSI Lidar Snow Depth 3m UTM Grid V001
This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides snow depth values at a 3.0 m spatial resolution, derived from point cloud digital terrain models. Snow depths are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/VV382L4MQI7V">DEM</a> and <a href="https://10.5067/K67GKZQ9WUEI">Vegetation Height</a> data sets.
SnowEx20-21 QSI Lidar DEM 3m UTM Grid V001
This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides bare Earth digital elevation models (DEM) acquired by a scanning lidar system at a 3.0 m spatial resolution, and derived from point cloud digital terrain models. DEMs are available for September 2021 and from multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/K67GKZQ9WUEI">Vegetation Height</a> and <a href="https://doi.org/10.5067/4VO7438DP332">Snow Depth</a> data sets.
SnowEx20-21 QSI Lidar Vegetation Height 0.5m UTM Grid V001
This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/YO583L7ZOLOO">DEM</a> and <a href="https://doi.org/10.5067/VBUN16K365DG">Snow Depth</a> data sets.
ASO L4 Lidar Point Cloud Digital Terrain Model 3m UTM Grid V001
This data set provides 3 m gridded, bare-earth elevations (excluding trees) that are used as the baseline for the Airborne Snow Observatory (ASO) snow-on products. The data were collected during snow-free conditions as part of the NASA/JPL ASO aircraft survey campaigns.
PALS/In Situ Multi-Campaign 800 m UTM Grid Brightness Temperature, Backscatter, and Soil Moisture Match-Up V001
This data set contains data obtained by the Passive Active L- and S-band (PALS) microwave aircraft instrument that are matched up with a variety of soil moisture campaign data. The data were collected as part of four different campaigns: Southern Great Plains 1999 (SGP99), Cloud and Land Surface Interaction Campaign 2007 (CLASIC07), Soil Moisture Experiment 2002 (SMEX02), and the SMAP Validation Experiment 2008 (SMAPVEX08).
ASO L4 Lidar Snow Water Equivalent 50m UTM Grid V001
This data set contains 50 m gridded snow water equivalent (SWE) values collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns. The data were derived from the <a href="https://nsidc.org/data/aso_50m_sd">ASO L4 Lidar Snow Depth 50m UTM Grid</a> data product and from modeled snow density.
ASO L4 Lidar Snow Depth 50m UTM Grid V001
This data set contains 50 m gridded snow depths derived from airborne light detection and ranging, or lidar, measurements of surface elevations. The data were collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns.
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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)
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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.