The geojsonview extension for CKAN provides a simple and direct way to visualize GeoJSON resources directly within the CKAN interface. By leveraging the Leaflet JavaScript library, this extension renders geospatial data from GeoJSON files, making it easier for users to explore and understand geographic datasets. It offers a streamlined solution for integrating interactive maps into CKAN-powered data portals. Key Features: GeoJSON Visualization: Enables the display of GeoJSON resources as interactive maps within CKAN's resource views. Leaflet Integration: Utilizes the Leaflet JavaScript library for rendering maps, providing a lightweight and efficient mapping experience. CKAN Integration: Seamlessly integrates with CKAN's resource view system, allowing users to view GeoJSON data alongside other resource formats.

Dataset from National Environment Agency. For more information, visit https://data.gov.sg/datasets/d_5d060d8b7838a15e8906fb22c50dbf51/view

This is an auto-generated index table corresponding to a folder of files in this dataset with the same name. This table can be used to extract a subset of files based on their metadata, which can then be used for further analysis. You can view the contents of specific files by navigating to the "cells" tab and clicking on an individual file_kd.

Dataset from National Heritage Board. For more information, visit https://data.gov.sg/datasets/d_31e16b12809e66673e90d8b04fdee1b2/view

Dataset from National Heritage Board. For more information, visit https://data.gov.sg/datasets/d_800f80592dc0b8eb0c784b1122dad45e/view

.geojson files created for National Water Model Forecast Viewer

• Description: Smallest functionally independent piece of a NEN 3610 Road with uniform, homogeneous properties and relationships and primarily intended for use by road, rail and air traffic on land.
• Objective registration: Manage public space ***Limitations:** This dataset is not suitable for legal or surveying purposes
• Possibilities: This dataset is suitable for providing insight into the location on the map
• Viewer: https://arcg.is/jCLHD
• Coordinate system: RDnew
• Data model: IMGEO for info: http://www.geonovum.nl/sites/default/files/BGTData Catalogue111.pdf

Countries layers that contains all teh countries in the world

The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

Hand drawn Utah state border in geojson featurecollection format Projection: WGS84 (EPSG: 4326). This resource was created to test NWM viewer app.

Dataset from National Environment Agency. For more information, visit https://data.gov.sg/datasets/d_dbfabf16158d1b0e1c420627c0819168/view

#Données of the 2022 Hydroclimatic Atlas ## #Description The Hydroclimatic Atlas describes the current and future water regime of southern Quebec in order to support the implementation of water management practices that are resilient to climate change. These data are from the most recent version of the Hydroclimatic Atlas. ## #Nouveautés * Improvement of the spatial resolution of the hydrographic network; * Greater spatial coverage; * Addition of the CliMEX and CORDEX-NA sets, in addition to the scenarios in the CMIP5 set; * Use of six hydrological platforms; * * Addition of indicators, especially annual ones. * Etc. ## #Liste data available * Link to the new Hydroclimatic Atlas website. * Map of the 24,604 river sections of the Hydroclimatic Atlas with their attributes, available in GeoJSON and shapefile format. To facilitate download and display, the map is divided into 11 GeoJSON files: ABIT (Abitibi and Lac Abitibi region), CND west (North Shore A and B regions), CND east (North Shore regions C, D and E), GASP (North Shore regions C, D and E), GASP (Gaspésie), MONT (Gaspesie), MONT (Montégérie), OUTM (Outaouais Upstream), OUTV (Outaouais Downstream), OUTV (Outaouais Downstream), SAGU (Saguenay), SLNO (St-Laurent Nord-Ouest), SLSO (St-Laurent Sud-Ouest), and VAUD (Vaudreuil). * The CSV tables (“Magnitude...”) for each of the 76 hydrological indicators describing the amplement, the direction and the dispersion for RCP 4.5 and RCP8.5, for the three future horizons (see the documentation for details). * The CSV tables (“Projected indicator...”) for each of the 76 hydrological indicators detailing the flow values with their uncertainty for the historical period and the three future horizons (RCP4.5 and 8.5). See the documentation for more details. * A PDF with the metadata and a more detailed description of the data. ## #Note The 2018 version data is archived on Data Quebec for reference, for example for old reports or analyses referring to this version of the data. Any new study or analysis should use the most recent data available below or on the Atlas website.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Demo to save data from a Space to a Dataset. Goal is to provide reusable snippets of code.

Documentation: https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#scheduled-uploads Space: https://huggingface.co/spaces/Wauplin/space_to_dataset_saver/ JSON dataset: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-json Image dataset: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-image Image (zipped) dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Wauplin/example-space-to-dataset-json.

This dataset contains spatial boundaries for the DevWA Area relating to the City of Perth Planning Scheme No.2.Please see https://perth.wa.gov.au/develop/planning-framework/planning-schemes and https://perth.wa.gov.au/develop/planning-framework/planning-policies-and-precinct-plans for more information regarding the City of Perth Planning Schemes. Show full description

The AbrirCon extension for CKAN enhances data accessibility by enabling users to seamlessly open various resource types with external online applications like Plotly, Carto, and Geojson.io. This extension adds "Abrir con" links to resource pages, providing users with a direct way to visualize and interact with data using their preferred tools. By supporting a range of file formats, AbrirCon extends CKAN's utility for data exploration and analysis. Key Features: Plotly Integration: Allows users to open CSV, TSV, XLS, and XLSX files directly in Plotly for interactive data visualization. Carto Integration: Enables opening CSV, XLS, XLSX, KML, KMZ, GeoJSON, and SHP files in Carto for geospatial analysis and mapping. Geojson.io Integration: Facilitates opening GeoJSON files in Geojson.io for quick viewing and editing of geospatial data. Easy Installation: Simple installation process involving cloning the repository, installing the extension, and adding abrircon to the ckan.plugins configuration. Configuration Parameters: Requires configuration of specific parameters (not detailed in the Readme), likely to configure the integration with Plotly, Carto and Geojson.io (e.g. API keys or URLs). Technical Integration: The AbrirCon extension integrates with CKAN by adding itself to the ckan.plugins configuration, as described in the readme. This suggests that it likely modifies the resource view templates— specifically the resourceitemexplore block of the resource_item.html file — to insert the "Abrir con" links. When installing, the readme explicitly mentions the order of plugins in ckan.plugins being important, specifically that abrircon should precede any plugins which modify the resourceitemexplore block of resource_item.html. Benefits & Impact: The AbrirCon extension simplifies the process of visualizing and working with data stored in CKAN. By allowing users to quickly open resources in external applications, it reduces the need for manual downloading and uploading of files. This streamlined workflow enhances data exploration and analysis capabilities, making CKAN a more valuable tool for data users. The fact that several city councils contributed to the extension points to its value in the open data ecosystem.

This dataset is of simplified geometries from COD live services deployed June 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

This is a GeoJSON version of this dataset- https://zenodo.org/deposit/4593518

This GeoJSON file is derived from the State Game Land (SGL) vector files provided by the state of Pennsylvania (http://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=86). A 1 km buffer was added in QGIS.

For additional information, please see https://zenodo.org/deposit/4593788 .

JSON Schema Dataset

This dataset consists of a collection of JSON Schema documents collected from GitHub by searching using the Sourcegraph API.

  Step 1: Find a list of JSON Schema paths

The Sourcegraph code search API is used to find files with a .json extension and containing { "$schema": "https://json-schema.org/". This is somewhat restrictive, but still manages to find a large number of schemas. pipenv run python slurp.py --outfile repos.csv

  Step 2:… See the full description on the dataset page: https://huggingface.co/datasets/dataunitylab/json-schema.

Dataset from National Environment Agency. For more information, visit https://data.gov.sg/datasets/d_5ff6c8be30ee24f83975ffae670c6246/view

Hand drawn Alabama state border in geojson polygon format. This resource was created to test NWM viewer app.