Contributors: Gaetan Montero, Cécile Tannier
... Contributors: Gaëtan Montero, Cécile Tannier, Isabelle Thomas Date:2019-16-10 Description: This data set can be used to reproduce the analyses made by the authors in their paper “Morphological delineation of cities based on scaling properties of urban patterns: a comparison of three methods”. It contains 12 shapefiles that represent theoretical urban patterns and 4 shapefiles that can be used to delineate the morphological agglomeration of Brussels (Belgium). It also contains a R script to calculate the carrying capacity of a logistic percolation function. Description of each file 2_Figure_1: theoretical street network for testing the Natural Cities method 3_Figure_2: theoretical street network for the comparison of two variants of the Natural Cities method 4_Figure_3: theoretical street network to evaluate the effects of the spatial extent of the study area on the delineation of Natural Cities 5_Figure_5a: theoretical pattern for testing MorphoLim (building footprints) – dense urban core 6_Figure_5b: theoretical pattern for testing MorphoLim (building footprints) – less dense urban core 7_Figure_6: theoretical pattern (building footprints) to evaluate the effects of the geographic extent of the study area on the delineation with MorphoLim 8_Percolation_C_Calculation: R code to calculate the carrying capacity of a logistic function (Hierarchical Percolation) 9_Figure_7: theoretical street network for testing Hierarchical Percolation 10_Figure_8: theoretical polycentric street network for testing Hierarchical Percolation 11_Figure_9ac: theoretical urban pattern crossed by a large non built area (road intersections) 12_Figure_9b: theoretical urban pattern crossed by a large non built area (building footprints) 13_Figure_10ac: theoretical pattern where a built ribbon links two urban centres (roads intersections ) 14_Figure_10b: theoretical pattern where a built ribbon links two urban centres (building footprints) 15_Belgium_buildings: cadastral data of buildings (2D) for Belgium (© 2009 Administration Générale de la Documentation Patrimoniale) 16_Brabant_buildings: cadastral data of buildings (2D) for the province of Brabant (© 2009 Administration Générale de la Documentation Patrimoniale) 17_Belgium_roads: road network data come from the platform Geofabrik of OpenStreetMap (http://download.geofabrik.de, accessed 08/21/2018) for Belgium 18_Brabant_roads: Road network data come from the platform Geofabrik of OpenStreetMap (http://download.geofabrik.de, accessed 08/21/2018) for the province of Brabant.
Contributors: Pranav Pandya, Kartikey Hadiya, Arnava Ghatak
... Resource Mapping data was collected from field survey and all points such as markets, atms, schools were located and appropriate tags were given. Data was uploaded on Google sheets and addons of Fusion Mas and point map were installed and addons were run to form virtual maps in their own particular webpages. Source link of those webpages are determined and were added in a iframe in src link. In web html design a table was made and all three iframe are added in table. The final html was added as html element in sites.google.com to create a custom website. The website link: www.sites.google.com/site/pranavrsmap Webpage and Sheets are the most important data here. Other data are optional and are uploaded for your Geospatial Location research
Contributors: Rick J. Hogeboom, Davey de Bruin, Joep Schyns, Maarten Krol, Arjen Hoekstra
... Excelfile containing several water footprint caps, runoff and environmental flow statistics for 11,000+ river basins worldwide. Shapefile containing geometries for these basins.
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Contributors: Tetsuji Okada
... DSA files of human (N to Z, by gene name) : UniProt ID is used for a protein to which no gene name is assigned.
Contributors: Tetsuji Okada
... DSA files of human (A to M, by gene name) : UniProt ID is used for a protein to which no gene name is assigned.
Contributors: Tetsuji Okada
... DSA files of E. coli (A to M, by gene name) UniProt ID is used for a protein to which no gene name is assigned.
Contributors: Juan Gabriel Bayona
... the folder contains input and setup files of the article An Alternative Method to Determine Extreme Hydrodynamic Forces with Data Limitations for Offshore Engineering
Contributors: Chunli Dai
... Here are the results in a paper entitled "Characterization of the 2008 phreatomagmatic eruption of Okmok from ArcticDEM and InSAR: deposition, erosion, and deformation" submitted to JGR Solid Earth in 2019. It includes the 2-m resolution surface elevation change of the 2008 Okmok eruption (Fig. 2a in the paper) and the 2-m resolution post-eruptive elevation change rate map (Fig. 3), as well as the corresponding uncertainties (Fig. S3). It also includes the boundary of the proximal deposit field classified using a minimum elevation increase of 2 m, the boundary of large slope failure, and the shorelines of two lakes (Figs. 2a, S5, and S6) at different acquisition times. The GeoTIFF files can be viewed in free and open-source software QGIS, in Google Earth, or by Matlab using code https://github.com/ihowat/setsm_postprocessing/blob/master/readGeotiff.m. The shapefiles can be viewed in QGIS and Google Earth.
Contributors: Nikhil Kaza
... This curated dataset is derived from public sources. The aim was to link urban form measurements to energy consumption as proxied by sales in gas stations in the United States. The geographic resolution is a county.
Contributors: Raúl Roberto poppiel, Marilusa Pinto Coelho Lacerda, José Lucas Safanelli, Rodnei Rizzo, Manuel Pereira de Oliveira junior, Jean Jesus Novais, Jose Alexandre Dematte
... Maps of clay, silt and sand contents (g kg-1) were predicted at 0-20 cm, 20-60 cm and 60-100 cm depths intervals by random forest regression in Google Earth Engine. Gridded soil information covers a part of the Midwest Brazil, from 12° S to 20° S and from 45° W to 54° W, and is available with 250m resolution. The maps were cross-validated and had Coefficient of Determination ranging from 0.64 to 0.85 at all depth intervals.