Filter Results
4013 results
  • 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
    Data Types:
    • Software/Code
    • Geospatial Data
    • Dataset
    • File Set
  • Excelfile containing several water footprint caps, runoff and environmental flow statistics for 11,000+ river basins worldwide. Shapefile containing geometries for these basins.
    Data Types:
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
  • DSA files of human (N to Z, by gene name) : UniProt ID is used for a protein to which no gene name is assigned.
    Data Types:
    • Other
    • Slides
    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
    • File Set
  • DSA files of human (A to M, by gene name) : UniProt ID is used for a protein to which no gene name is assigned.
    Data Types:
    • Other
    • Slides
    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
  • 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.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Mine Production and GIS Data associated with the paper "Global-scale remote sensing of mines and analysis of factors explaining their extent"
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • the folder contains input and setup files of the article An Alternative Method to Determine Extreme Hydrodynamic Forces with Data Limitations for Offshore Engineering
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Sequencing Data
    • Dataset
    • Document
    • Text
    • Audio
  • The file includes the locations of the nine debris-flow monitoring sites that are described in the paper
    Data Types:
    • Geospatial Data
    • Dataset
  • Supporting information of this paper describes the caption of the supplementary tables of geochronologic, rock magnetic, and petrographic data in Excel files. Additionally, the geoposition of all sites are in the *.kmz file (Google Earth). The contents are: Table S1 (*xlsx). U-Pb isotopic ages from LA-ICP-MS in single zircon from four samples of the Dipilto Batholith. Table S2 (*xlsx). Rock magnetic properties and petrographic summary of all sites in the Dipilto Batholith. Database 1 (*txt). Paleomagnetic data directions of each sample in the Dipilto Batholith available in the Magnetics Information Consortium (MagIC) database: https://www2.earthref.org/MagIC. Finally, Database 2 (*.kmz). Geopositions (latitude and longitude) of the paleomagnetic and geochronologic sites in this study. This is a *.kmz file of Google Earth.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
    • Text
  • Attachment: Methodology flow diagram & Final Outputs in kmz Coordinates were required to be assigned to a set of 50 images which were to be taken manually by the user. So, Images had to be procured, their locations were to be known and the location was required to be inscribed in the Image Metadata. Step 1: Obtaining Images + Location Google Earth has Google Photos which are uploaded by Individual users. These photos were enabled in Google Earth and each image was copied and pasted in MS Paint and then saved with an appropriate name At each image, the location pins were placed to mark the coordinates for each image Step 2: Extracting the coordiantes The marked pin locations in Google Earth were saved as: Save My Places -> .kml This kml file was uploaded to https://mygeodata.cloud/converter/kml-to-csv to convert it into csv file to read the lat & long for each pinned markings Step 3: Embedding Coordinates in Image Metadata Geosetter Software enables us to embed coordinated in each Image file. Images were loaded in Geosetter and the subsequent coordinates were added with the Edit Data dialogue. The location name of each image was added in Object Name. The Images were then exported with thumbnail size=2000 and thumbnail={Object_Name}
    Data Types:
    • Geospatial Data
    • Image
    • Dataset
7