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- Data for: How to effectively use long-term remotely sensed data to characterize the process of trees and shrubs encroachment for open protected wetlands in the Biebrza National Park.The study area of 245 km2 was divided into 16,158 squares (SQ) in the spatial matrix with a grid cell of 125 x 125 m. Each of the SQ had the tree and shrub mean percentage coverage (MPC) assigned as a result of automatic analysis of the identification of tree and shrub coverage in 2015 year, and starting from 1966 year and ending in 2010 year as a result of manual image interpretation.
- Dataset
- File Set
- Data for: Soil site suitability analysis using geo-statistical and visualization techniques for selected winter crops in Sagar Island, IndiaThe data set contains tables and figures on landuse land cover pattern, distribution of soil properties collected from 251 grid cells with resolution of 1 km by 1 km, and as well as soil suitability analysis of winter crops (Sunflower, Chilli, potato and mustard) in the Sagar Island. Table 1 and figure 1 represent area and percent of total geographical area under different landuse land covers derived from satellite images. Tables 2 and 3 represent variation in soil properties and the estimated soil suitability index values for the winter crops in the Island. Figures 2, 3 and 4 represent percent area under different classes and variation of soil properties (pH, SOC, EC, particle size distribution, macro-nutrients NPK percent distribution) while figure 5 represents variation in soil suitability index across the Island. We also supplied row data on LULC classes (with pixel numbers), measured soil properties, classes of soil properties and in detail the methodology we adopted in estimation of soil quality indices for the four above mentioned different crops in excel sheets.
- Dataset
- File Set
- Data for: Using GPS tracking to understand the impact of management interventions on visitor densities and bird populationsMonitoring data of visitors of the New Forest, UK. Each track has been collected with an eTrex or eTrex Venture GPS device. Explanation of the headers can be found in Table A.3. The dataset contains 1563 tracks of which 1553 could be used for further analyses in our research.
- Tabular Data
- Dataset
- Data for: Using machine learning to quantify the impacts of genetically modified crops on US Midwest corn yieldsThis repository contains the R scripts and data necessary to recreate the accompanying analysis.
- Software/Code
- Dataset
- Text
- File Set
- Data for: A global erosivity index to represent sevgroduction potential of different rock types A gridded representation of the global erodibility index described in the linked paper. This erodibility index is the first estimate of sediment production potential of different rock types at given environmental conditions aimed at regional to global scale application. The index is 1.0 for acid plutonic rocks, metamorphic rocks, and carbonate sedimentary rocks; medium erodibility: 1.1 for acid volcanic rocks; 1.2 for mixed sedimentary rocks; medium erodibility - 1.5 for basic plutonic rocks, siliciclastic rocks of all grain sizes; 1.4 for basic volcanic rocks; high erodibility – 3.2 for unconsolidated sediments. The gridding of 0.1 degrees to align with the gridding of the BQUART model.
- Image
- Dataset
- Data for: Measuring water use performance in the cities along China’s South-North Water Transfer ProjectWater use in the cities along China’s South-North Water Transfer Project during 2006-2014
- Tabular Data
- Dataset
- Data for: ANALYSIS OF IMPERVIOUS LAND-COVER EXPANSION USING REMOTE SENSING AND GIS: A CASE STUDY OF SYLHET SADAR UPAZILA
- Dataset
- Human Well-Being Domain and Composite Scores 2000-2017
- Dataset