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49 results for “Land Assessment”
DIRECTIONS FOR IMPROVING URBAN LAND MONITORING AND ASSESSMENT BASED ON MODERN TECHNOLOGIES
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Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1
<p>This is the JULES input and output data and plotting scripts used in the paper titled "Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1.</p> <p>The tar file contains the following:</p> <p>outputs/cardwfdei_gl4_uncompressed.mon.nc<br> outputs/cardwfdei_gl4_surf_ft_dom_soil.mon.nc<br> outputs/cardwfdei_gl4_gb_dom_soil_decompr_loam.mon.nc<br> outputs/cardwfdei_gl4_surf-soil_consolidated.mon.nc<br> outputs/cardwfdei_gl4_gb_dom_soil_compr_loam.mon.nc<br> plotting_scripts/utils.py<br> plotting_scripts/gb_flux_summary.py<br> plotting_scripts/tile_fsmc_summary.py<br> plotting_scripts/gb_smcl_closure_summary.py<br> plotting_scripts/colors_names.py<br> inputs/drive-file-WFDEI-79-10.txt<br> inputs/WFDEI_data/README.txt<br> inputs/extract_cardwfdei_point.py</p> <p>uncompressed is the output for experiment HResTex.<br> surf_ft_dom_soil is the output for experiment SurfDom.<br> gb_dom_soil_decompr_loam is the output for experiment SurfGB.<br> surf-soil_consolidated is the output for experiment HResTexAgg.<br> gb_dom_soil_compr_loam is the output for experiment DC.</p> <p>Descriptions about the individual plotting scripts are given within each file.</p> <p>The WFDEI data is freely available from a separate source and inputs/WFDEI_data/README.txt describes how to obtain this dataset.</p> <p>inputs/extract_cardwfdei_point.py extracts the WFDEI data for the single latitude/longitude point used in this paper.</p> <p>inputs/drive-file-WFDEI-79-10.txt is the input file required by JULES to read in the WFDEI driving data files.</p>
Evaluating natural experiments in ecology: using synthetic controls in assessments of remotely-sensed land-treatments
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Fig. 4 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance
Fig. 4. Partial dependence plot for topographic wetness index (TWI).
Assessment of the Cognitive Load of the Landed Combatant in Virtual Reality.
ClinicalTrials.gov study NCT05676424. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Millennium Ecosystem Assessment: MA Rapid Land Cover Change
The Millennium Ecosystem Assessment: MA Rapid Land Cover Change provides data and information on global and regional land cover change in raster format for agriculture (cropland increase and disease), deforestation (forest mask and hotspots), desertification (hotspot areas of degraded land and degradation types), and fires (most frequent and exceptional fires). Urbanization data are in vector format for cities with the highest rate of change (1995-2015), largest cities (2000), and the overlay of these two data layers for the year 2000. This assessment identified the need to synthesize what is known about areas of rapid land cover change around the world in order to evaluate how the provision of ecosystem goods and services has changed.
Millennium Ecosystem Assessment: MA Climate and Land Cover
The Millennium Ecosystem Assessment: MA Climate and Land Cover provides data and information on global gridded climatological variables, global land cover maps, and national and international protected areas. The climatological data include the Climatic Research Unit (CRU) monthly terrestrial surface temperature and precipitation grids at 0.5 degree resolution from 1901-1996, along with temperature and precipitation grids at 10-minute resolution from the CRU and the International Water Management Institute (IWMI). The Global Land Cover 2000 (GLC2000) was produced by an international partnership of 30 research groups coordinated by the European Commission's Joint Research Centre (JRC), which contained two levels of land cover information; detailed and regionally optimized land cover for each continent, and a less thematically detailed global land cover that harmonizes regions into one consistent product. The maps were based on daily data from the Vegetation 1 sensor on-board SPOT 4, though mapping of regions required the use of data from additional Earth observing sensors to resolve specific issues. The international and national protected areas were generated from the World Database of Protected Areas for the year 2000.
Original data for resident and Delphi surveys and green land cover assessment
<p>This repository contains raw survey data, Delphi analysis responses, and green space quantification GIS data for the Friendly Area Neighborhood in Eugene, Oregon.</p>
A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning
<p><em><strong>landsubsidance_ANN.tiff</strong></em>: Land-subsidence susceptibility potential maps using ANN algorithm.</p> <p><em><strong>landsubsidance_ghdm.tiff</strong></em>: Land-subsidence susceptibility potential maps using GMDH algorithm.</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.
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.