20 datasets found
  1. QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Oct 5, 2021
    + more versions
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    Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
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    htmlAvailable download formats
    Dataset updated
    Oct 5, 2021
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  2. v

    Virginia 9-1-1 & Geospatial Services Webinar Series

    • vgin.vdem.virginia.gov
    • vgin-vgin.hub.arcgis.com
    • +1more
    Updated Apr 2, 2020
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    Virginia Geographic Information Network (2020). Virginia 9-1-1 & Geospatial Services Webinar Series [Dataset]. https://vgin.vdem.virginia.gov/documents/virginia-9-1-1-geospatial-services-webinar-series
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    Dataset updated
    Apr 2, 2020
    Dataset authored and provided by
    Virginia Geographic Information Network
    Area covered
    Virginia
    Description

    Links to recordings of the Integrated Services Program and 9-1-1 & Geospatial Services Bureau webinar series, including NG9-1-1 GIS topics such as: data preparation; data provisioning and maintenance; boundary best practices; and extract, transform, and load (ETL). Offerings include:Topic: Virginia Next Generation 9-1-1 Dashboard and Resources Update Description: Virginia recently updated the NG9-1-1 Dashboard with some new tabs and information sources and continues to develop new resources to assist the GIS data work. This webinar provides an overview of changes, a demonstration of new functionality, and a guide to finding and using new resources that will benefit Virginia public safety and GIS personnel with roles in their NG9-1-1 projects. Wednesday 16 June 2021. Recording available at: https://vimeo.com/566133775Topic: Emergency Service Boundary GIS Data Layers and Functions in your NG9-1-1 PSAP Description: Law, Fire, and Emergency Medical Service (EMS) Emergency Service Boundary (ESB) polygons are required elements of the NENA NG9-1-1 GIS data model stack that indicate which agency is responsible for primary response. While this requirement must be met in your Virginia NG9-1-1 deployment with AT&T and Intrado, there are quite a few ways you could choose to implement these polygons. PSAPs and their GIS support must work together to understand how this information will come into a NG9-1-1 i3 PSAP and how it will replace traditional ESN information in order to make good choices while implementing these layers. This webinar discusses:the function of ESNs in your legacy 9-1-1 environment, the role of ESBs in NG9-1-1, and how ESB information appears in your NG9-1-1 PSAP. Wednesday, 22 July 2020. Recording available at: https://vimeo.com/441073056#t=360sTopic: "The GIS Folks Handle That": What PSAP Professionals Need to Know about the GIS Project Phase of Next Generation 9-1-1 DeploymentDescription: Next Generation 9-1-1 (NG9-1-1) brings together the worlds of emergency communication and spatial data and mapping. While it may be tempting for PSAPs to outsource cares and concerns about road centerlines and GIS data provisioning to 'the GIS folks', GIS staff are crucial to the future of emergency call routing and location validation. Data required by NG9-1-1 usually builds on data that GIS staff already know and use for other purposes, so the transition requires them to learn more about PSAP operations and uses of core data. The goal of this webinar is to help the PSAP and GIS worlds come together by explaining the role of the GIS Project in the Virginia NG9-1-1 Deployment Steps, exploring how GIS professionals view NG9-1-1 deployment as a project, and fostering a mutual understanding of how GIS will drive NG9-1-1. 29 January 2020. Recording available at: https://vimeo.com/showcase/9791882/video/761225474Topic: Getting Your GIS Data from Here to There: Processes and Best Practices for Extract, Transform and Load (ETL) Description: During the fall of 2019, VITA-ISP staff delivered workshops on "Tools and Techniques for Managing the Growing Role of GIS in Enterprise Software." This session presents information from the workshops related to the process of extracting, transforming, and loading data (ETL), best practices for ETL, and methods for data schema comparison and field mapping as a webinar. These techniques and skills assist GIS staff with their growing role in Next Generation 9-1-1 but also apply to many other projects involving the integration and maintenance of GIS data. 19 February 2020. Recording available at: https://vimeo.com/showcase/9791882/video/761225007Topic: NG9-1-1 GIS Data Provisioning and MaintenanceDescription: VITA ISP pleased to announce an upcoming webinar about the NG9-1-1 GIS Data Provisioning and Maintenance document provided by Judy Doldorf, GISP with the Fairfax County Department of Information Technology and RAC member. This document was developed by members of the NG9-1-1 GIS workgroup within the VITA Regional Advisory Council (RAC) and is intended to provide guidance to local GIS and PSAP authorities on the GIS datasets and associated GIS to MSAG/ALI validation and synchronization required for NG9-1-1 services. The document also provides guidance on geospatial call routing readiness and the short- and long-term GIS data maintenance workflow procedures. In addition, some perspective and insight from the Fairfax County experience in GIS data preparation for the AT&T and West solution will be discussed in this webinar. 31 July 2019. Recording available at: https://vimeo.com/showcase/9791882/video/761224774Topic: NG9-1-1 Deployment DashboardDescription: I invite you to join us for a webinar that will provide an overview of our NG9-1-1 Deployment Dashboard and information about other online ISP resources. The ISP website has been long criticized for being difficult to use and find information. The addition of the Dashboard and other changes to the website are our attempt to address some of these concerns and provide an easier way to find information especially as we undertake NG9-1-1 deployment. The Dashboard includes a status map of all Virginia PSAPs as it relates to the deployment of NG9-1-1, including the total amount of funding requested by the localities and awards approved by the 9-1-1 Services Board. During this webinar, Lyle Hornbaker, Regional Coordinator for Region 5, will navigate through the dashboard and provide tips on how to more effectively utilize the ISP website. 12 June 2019. Recording not currently available. Please see the Virginia Next Generation 9-1-1 Dashboard and Resources Update webinar recording from 16 June 2021. Topic: PSAP Boundary Development Tools and Process RecommendationDescription: This webinar will be presented by Geospatial Program Manager Matt Gerike and VGIN Coordinator Joe Sewash. With the release of the PSAP boundary development tools and PSAP boundary segment compilation guidelines on the VGIN Clearinghouse in March, this webinar demonstrates the development tools, explains the process model, and discusses methods, tools, and resources available for you as you work to complete PSAP boundary segments with your neighbors. 15 May 2019. Recording available at: https://www.youtube.com/watch?v=kI-1DkUQF9Q&feature=youtu.beTopic: NG9-1-1 Data Preparation - Utilizing VITA's GIS Data Report Card ToolDescription: This webinar, presented by VGIN Coordinator Joe Sewash, Geospatial Program Manager Matt Gerike, and Geospatial Analyst Kenny Brevard will provide an overview of the first version of the tools that were released on March 25, 2019. These tools will allow localities to validate their GIS data against the report card rules, the MSAG and ALI checks used in previous report cards, and the analysis listed in the NG9-1-1 migration proposal document. We will also discuss the purpose of the tools, input requirements, initial configuration, how to run them, and how to make sense of your results. 10 April 2019. Recording available at: https://vimeo.com/showcase/9791882/video/761224495Topic: NG9-1-1 PSAP Boundary Best Practice WebinarDescription: During the months of November and December, VITA ISP staff hosted regional training sessions about best practices for PSAP boundaries as they relate to NG9-1-1. These sessions were well attended and very interactive, therefore we feel the need to do a recap and allow those that may have missed the training to attend a makeup session. 30 January 2019. Recording not currently available. Please see the PSAP Boundary Development Tools and Process Recommendation webinar recording from 15 May 2019.Topic: NG9-1-1 GIS Overview for ContractorsDescription: The Commonwealth of Virginia has started its migration to next generation 9-1-1 (NG9-1-1). This migration means that there will be a much greater reliance on geographic information (GIS) to locate and route 9-1-1 calls. VITA ISP has conducted an assessment of current local GIS data and provided each locality with a report. Some of the data from this report has also been included in the localities migration proposal, which identifies what data issues need to be resolved before the locality can migrate to NG9-1-1. Several localities in Virginia utilize a contractor to maintain their GIS data. This webinar is intended for those contractors to review the data in the report, what is included in the migration proposal and how they may be called on to assist the localities they serve. It will still ultimately be up to each locality to determine whether they engage a contractor for assistance, but it is important for the contractor community to understand what is happening and have an opportunity to ask questions about the intent and goals. This webinar will provide such an opportunity. 22 August 2018. Recording not currently available. Please contact us at NG911GIS@vdem.virginia.gov if you are interested in this content.

  3. a

    RTB Mapping application

    • hub.arcgis.com
    • data.amerigeoss.org
    Updated Aug 12, 2015
    + more versions
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    ArcGIS StoryMaps (2015). RTB Mapping application [Dataset]. https://hub.arcgis.com/datasets/81ea77e8b5274b879b9d71010d8743aa
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    Dataset updated
    Aug 12, 2015
    Dataset authored and provided by
    ArcGIS StoryMaps
    Description

    RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development.Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis.Further metadata/references can be found here: http://gisweb.ciat.cgiar.org/RTBmaps/DataAvailability_RTBMaps.htmlDISCLAIMER, ACKNOWLEDGMENTS AND PERMISSIONS:This service is provided by Roots, Tubers and Bananas CGIAR Research Program as a public service. Use of this service to retrieve information constitutes your awareness and agreement to the following conditions of use.This online resource displays GIS data and query tools subject to continuous updates and adjustments. The GIS data has been taken from various, mostly public, sources and is supplied in good faith.RTBMaps GIS Data Disclaimer• The data used to show the Base Maps is supplied by ESRI.• The data used to show the photos over the map is supplied by Flickr.• The data used to show the videos over the map is supplied by Youtube.• The population map is supplied to us by CIESIN, Columbia University and CIAT.• The Accessibility map is provided by Global Environment Monitoring Unit - Joint Research Centre of the European Commission. Accessibility maps are made for a specific purpose and they cannot be used as a generic dataset to represent "the accessibility" for a given study area.• Harvested area and yield for banana, cassava, potato, sweet potato and yam for the year 200, is provided by EarthSat (University of Minnesota’s Institute on the Environment-Global Landscapes initiative and McGill University’s Land Use and the Global Environment lab). Dataset from Monfreda C., Ramankutty N., and Foley J.A. 2008.• Agroecology dataset: global edapho-climatic zones for cassava based on mean growing season, temperature, number of dry season months, daily temperature range and seasonality. Dataset from CIAT (Carter et al. 1992)• Demography indicators: Total and Rural Population from Center for International Earth Science Information Network (CIESIN) and CIAT 2004.• The FGGD prevalence of stunting map is a global raster datalayer with a resolution of 5 arc-minutes. The percentage of stunted children under five years old is reported according to the lowest available sub-national administrative units: all pixels within the unit boundaries will have the same value. Data have been compiled by FAO from different sources: Demographic and Health Surveys (DHS), UNICEF MICS, WHO Global Database on Child Growth and Malnutrition, and national surveys. Data provided by FAO – GIS Unit 2007.• Poverty dataset: Global poverty headcount and absolute number of poor. Number of people living on less than $1.25 or $2.00 per day. Dataset from IFPRI and CIATTHE RTBMAPS GROUP MAKES NO WARRANTIES OR GUARANTEES, EITHER EXPRESSED OR IMPLIED AS TO THE COMPLETENESS, ACCURACY, OR CORRECTNESS OF THE DATA PORTRAYED IN THIS PRODUCT NOR ACCEPTS ANY LIABILITY, ARISING FROM ANY INCORRECT, INCOMPLETE OR MISLEADING INFORMATION CONTAINED THEREIN. ALL INFORMATION, DATA AND DATABASES ARE PROVIDED "AS IS" WITH NO WARRANTY, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, FITNESS FOR A PARTICULAR PURPOSE. By accessing this website and/or data contained within the databases, you hereby release the RTB group and CGCenters, its employees, agents, contractors, sponsors and suppliers from any and all responsibility and liability associated with its use. In no event shall the RTB Group or its officers or employees be liable for any damages arising in any way out of the use of the website, or use of the information contained in the databases herein including, but not limited to the RTBMaps online Atlas product.APPLICATION DEVELOPMENT:• Desktop and web development - Ernesto Giron E. (GeoSpatial Consultant) e.giron.e@gmail.com• GIS Analyst - Elizabeth Barona. (Independent Consultant) barona.elizabeth@gmail.comCollaborators:Glenn Hyman, Bernardo Creamer, Jesus David Hoyos, Diana Carolina Giraldo Soroush Parsa, Jagath Shanthalal, Herlin Rodolfo Espinosa, Carlos Navarro, Jorge Cardona and Beatriz Vanessa Herrera at CIAT, Tunrayo Alabi and Joseph Rusike from IITA, Guy Hareau, Reinhard Simon, Henry Juarez, Ulrich Kleinwechter, Greg Forbes, Adam Sparks from CIP, and David Brown and Charles Staver from Bioversity International.Please note these services may be unavailable at times due to maintenance work.Please feel free to contact us with any questions or problems you may be having with RTBMaps.

  4. e

    Helpful Videos from the Esri Education Team

    • gisinschools.eagle.co.nz
    Updated Nov 13, 2014
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    GIS in Schools - Teaching Materials - New Zealand (2014). Helpful Videos from the Esri Education Team [Dataset]. https://gisinschools.eagle.co.nz/documents/6c271bfb0b0e42b7a7221120d3e76691
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    Dataset updated
    Nov 13, 2014
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    Youtube Channel that has various Videos using ArcGIS to teach Geography.

  5. A

    Mapping incident locations from a CSV file in a web map (video)

    • data.amerigeoss.org
    esri rest, html
    Updated Mar 17, 2020
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    ESRI (2020). Mapping incident locations from a CSV file in a web map (video) [Dataset]. https://data.amerigeoss.org/zh_CN/dataset/mapping-incident-locations-from-a-csv-file-in-a-web-map-video
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    esri rest, htmlAvailable download formats
    Dataset updated
    Mar 17, 2020
    Dataset provided by
    ESRI
    Description

    Mapping incident locations from a CSV file in a web map (YouTube video).


    View this short demonstration video to learn how to geocode incident locations from a spreadsheet in ArcGIS Online. In this demonstration, the presenter drags a simple .csv file into a browser-based Web Map and maps the appropriate address fields to display incident points allowing different types of spatial overlays and analysis.

    _

    Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.

    When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.

    Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.


  6. A

    ‘Liste des tutoriels - TutorielGeo’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Liste des tutoriels - TutorielGeo’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-liste-des-tutoriels-tutorielgeo-6e7d/d0e7c2d0/?iid=001-796&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Liste des tutoriels - TutorielGeo’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5b070761c751df45f3f335f6 on 14 January 2022.

    --- Dataset description provided by original source is as follows ---

    Liste des 144 tutoriels de la chaîne Youtube TutorielGeo : https://www.youtube.com/user/tutorielgeo/featured

    Plus de 200 vidéos tutoriel gratuites sur Qgis, Postgis, Geoserver, Pentaho, Talend, Google Earth Pro... ainsi que sur les technologies webmapping et le gestion de base de données : Oracle, Mysql, SQL Server. Voici le lien vers le store : https://play.google.com/store/apps/details?id=com.tutorielgeo.mobileapps Voici le lien vers le site internet : https://tutorielgeo.com Voici le lien de la chaîne Youtube :https://www.youtube.com/user/tutorielgeo Voici le lien vers la page facebook : https://www.facebook.com/Tutorielgeo-Geomatic-Tutorial-GIS-Tutorial-Webmapping-Tutorial-325658277554574/ Voici le lien vers le compte twitter : https://twitter.com/TutorielGeo Voici le lien vers la page google plus : https://plus.google.com/b/117203987416263637144/+tutorielgeo/posts

    --- Original source retains full ownership of the source dataset ---

  7. Build a health resources inventory using Web AppBuilder for ArcGIS (video)

    • coronavirus-disasterresponse.hub.arcgis.com
    • coronavirus-resources.esri.com
    Updated Mar 17, 2020
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    Esri’s Disaster Response Program (2020). Build a health resources inventory using Web AppBuilder for ArcGIS (video) [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/documents/846a514e5bd74be7925087496df5e7cd
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    Dataset updated
    Mar 17, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Build a health resources inventory using Web AppBuilder for ArcGIS (YouTube video).This application is used by public health and human services agencies to inventory homeless, drug treatment, and other health and human service providers in a community. _Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  8. a

    Recordings (Monthly)

    • strategic-performance-cccd-gis.hub.arcgis.com
    Updated May 22, 2024
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    Clayton County GIS (2024). Recordings (Monthly) [Dataset]. https://strategic-performance-cccd-gis.hub.arcgis.com/datasets/recordings-monthly
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Clayton County GIS
    Description

    Communication and Image - Establish a business spotlight: interviews filmed in the Clayton TV studios and posted on YouTube channels.

  9. Marine Habitat Video Clips Available Through YouTube

    • metadata.naturalresources.wales
    Updated Aug 4, 2024
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    Natural Resources Wales (NRW) (2024). Marine Habitat Video Clips Available Through YouTube [Dataset]. https://metadata.naturalresources.wales/geonetwork/srv/api/records/NRW_DS110174
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Aug 4, 2024
    Dataset provided by
    Natural Resources Waleshttp://naturalresources.wales/
    Time period covered
    Jun 10, 1999 - Mar 1, 2016
    Area covered
    Description

    Drop down video and hand held video clips were produced to illustrate the seabed environment and its flora and fauna across Special Areas of Conservations (SACs).

    Edited clips have been produced in order to provide access for Natural Resources Wales' (NRWs) staff to relevant underwater video. By disseminating the data through YouTube, it becomes available to external audiences and provides an illustration of NRWs work and to increase awareness of the marine environment in Wales.

    These videos were produced and filmed by former Countryside Council for Wales (CCW) which is now part of NRW. The GIS Dataset shows the location of these video surveys.

  10. Harmonized Tree Species Occurrence Points for Europe

    • zenodo.org
    application/gzip, bin +1
    Updated Jul 19, 2024
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    Johannes Heisig; Johannes Heisig; Tomislav Hengl; Tomislav Hengl (2024). Harmonized Tree Species Occurrence Points for Europe [Dataset]. http://doi.org/10.5281/zenodo.4068253
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    bin, png, application/gzipAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Johannes Heisig; Johannes Heisig; Tomislav Hengl; Tomislav Hengl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Europe
    Description

    This data set is a harmonized collection of existing data from GBIF, the EU-Forest project and the LUCAS survey. It has about 3 million observations and is supplemented by variables (e.g. location accuracy, land cover type, canopy height, etc.) which enable precise filtering for specific user applications.

    The RDS file is created from an sf-object and suitable for fast reading in the R-programming environment. The CSV.GZ file contains records as a table with Easting and Northing in Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035) and can be fed in a GIS after being unzipped.

    The code producing this data set is publicly available on GitLab.

    Variables:

    • id = unique point identifier
    • easting = x coordinate
    • northing = y coordinate
    • country = ISO country code
    • species = Latin species name
    • genus = genus name
    • scientific_name = long species name
    • gbif_taxon_key = taxon key from GBIF
    • gbif_genus_key = genus key from GBIF
    • taxon_rank = species or genus
    • year = year of observation
    • accessed_through = database through which data was accessed (GBIF, LUCAS, EU-Forest)
    • dataset_info = data set name (individual sub-data-set)
    • citation = DOI citation of the individual data set
    • license = distribution license
    • location_accuracy = spatial accuracy of observation (meters)
    • flag_location_issue = known location issues present
    • flag_date_issue = known date issues present
    • eoo = Extent of occurrence (applying the concept of natural geographical range used for the EU-Forest data set (Mauri et al., 2017) to all other data points. 1 = point inside species range; 0 = point outside; NA = EOO polygon not available for this species)
    • dbh = Diameter Breast Height (only recorded for observations from the EU-Forest data set (Mauri et al., 2017))
    • lc1 = LUCAS land cover type 1 (only recorded for observations from LUCAS data)
    • lc2 = LUCAS land cover type 2 (only recorded for observations from LUCAS data)
    • landmask_country = land mask overlay 30 meters (NA = not on land)
    • corine = CORINE 2018 land cover type (extracted from the 100 meter raster data set)
    • nightlights = light pollution observed by VIIRS (proxy for remoteness / distance to human structures)
    • canopy_height = canopy height derived from GEDI waveform LiDAR point data
    • natura_2000 = Natura 2000 site code (if a point falls inside a protected area (GIS-layer) this variable contains the site identification code; all sites can be explored on an interactive map)
    • freq_location = number of points with identical location (in some cases one location has multiple observation, differing in species and/or year. This may lead to difficulties in certain modeling tasks)
    • geometry = point geometry in ETRS89 / LAEA Europe

    See this detailed documentation for more insights into each variable.

    If you would like to know more about the creation of this data set, see

    1. the R-Markdown documenting the process (GitLab repository)
    2. the talk at OpenGeoHub Summer School 2020 (Youtube)

    Some advice: This data set is a puzzle with pieces from many different sources. Take some time to explore before including it in your work. Use summary statistics to see which variables have NAs and how many. Choose your filtering criteria wisely. For example, some points with the highest location accuracy have no record for the year of observations. You would exclude these, if "year > 1990" was your criteria.

    This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).

  11. w

    Liste des tutoriels - TutorielGeo

    • data.wu.ac.at
    csv, ods
    Updated May 24, 2018
    + more versions
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    Geowebservice (2018). Liste des tutoriels - TutorielGeo [Dataset]. https://data.wu.ac.at/schema/www_data_gouv_fr/NWIwNzA3NjFjNzUxZGY0NWYzZjMzNWY2
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    ods(23579.0), csv(13806.0)Available download formats
    Dataset updated
    May 24, 2018
    Dataset provided by
    Geowebservice
    Description

    Liste des 144 tutoriels de la chaîne Youtube TutorielGeo : https://www.youtube.com/user/tutorielgeo/featured

    Plus de 200 vidéos tutoriel gratuites sur Qgis, Postgis, Geoserver, Pentaho, Talend, Google Earth Pro... ainsi que sur les technologies webmapping et le gestion de base de données : Oracle, Mysql, SQL Server. Voici le lien vers le store : https://play.google.com/store/apps/details?id=com.tutorielgeo.mobileapps Voici le lien vers le site internet : https://tutorielgeo.com Voici le lien de la chaîne Youtube :https://www.youtube.com/user/tutorielgeo Voici le lien vers la page facebook : https://www.facebook.com/Tutorielgeo-Geomatic-Tutorial-GIS-Tutorial-Webmapping-Tutorial-325658277554574/ Voici le lien vers le compte twitter : https://twitter.com/TutorielGeo Voici le lien vers la page google plus : https://plus.google.com/b/117203987416263637144/+tutorielgeo/posts

  12. Helene

    • hub.arcgis.com
    Updated Dec 3, 2024
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    Santee Cooper GIS Laboratory - College of Charleston (2024). Helene [Dataset]. https://hub.arcgis.com/maps/053b2d7864f44716a6c09b7ca0f81641
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    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Santee Cooperhttp://www.santeecooper.com/
    Authors
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    Explore the effects of Hurricane Helene on one of the United States most impacted city.Click on the map to further explore impacted demographics across census blocks – including who would be effected if the hurricane hit in 2028.

  13. e

    Lista samouczków – TutorielGeo

    • data.europa.eu
    csv, ods
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    Geowebservice, Lista samouczków – TutorielGeo [Dataset]. https://data.europa.eu/data/datasets/5b070761c751df45f3f335f6?locale=pl
    Explore at:
    csv(13806), ods(23579)Available download formats
    Dataset authored and provided by
    Geowebservice
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Lista 144 tutoriali kanału Youtube TutorielGeo: https://www.youtube.com/user/tutorielgeo/featured Ponad 200 darmowych filmów samouczkowych na Qgis, Postgis, Geoserver, Pentaho, Talend, Google Earth Pro... a także technologii mapowania stron internetowych i zarządzania bazami danych: Oracle, Mysql, SQL Server. Oto link do sklepu: https://play.google.com/store/apps/details?id=com.tutorielgeo.mobileapps

    Oto link do strony internetowej: https://tutorielgeo.com

    Oto link do Youtube channel:https://www.youtube.com/user/tutorielgeo

    Oto link do strony na Facebooku: https://www.facebook.com/Tutorielgeo-Geomatic-Tutorial-GIS-Tutorial-Webmapping-Tutorial-325658277554574/

    Oto link do konta na Twitterze: https://twitter.com/TutorielGeo

    Oto link do strony Google Plus: https://plus.google.com/b/117203987416263637144/+tutorielgeo/posts

  14. APACHE ENERGY - Airlie Island Video Data Locations

    • data.gov.au
    • researchdata.edu.au
    • +1more
    wms
    Updated Jun 24, 2017
    + more versions
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    Apache Energy - GIS Department (2017). APACHE ENERGY - Airlie Island Video Data Locations [Dataset]. https://data.gov.au/data/dataset/apache-energy-airlie-island-video-data-locations
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    wmsAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    APA Corporationhttps://apacorp.com/
    Authors
    Apache Energy - GIS Department
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Area covered
    Airlie Island
    Description

    Marine Habitat Video data surrounding Airlie Island from October 2011

  15. c

    CA Congress Districts and Membership 2024-2026

    • gis.data.ca.gov
    • data.ca.gov
    • +1more
    Updated Feb 6, 2025
    + more versions
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    California Department of Technology (2025). CA Congress Districts and Membership 2024-2026 [Dataset]. https://gis.data.ca.gov/maps/California::ca-congress-districts-and-membership-2024-2026
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    California Department of Technology
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    The 119th Congressional Districts dataset reflects boundaries from January 03, 2025 from the United States Census Bureau (USCB), and the attributes are updated every Sunday from the United States House of Representatives and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). Source data from USDOT is at https://catalog.data.gov/dataset/congressional-districts3Congressional Districts feature layer is updated as-needed and we expect to update it more regularly in the future.Attribute SchemaSTATEFP: The STATEFP is the State fips code.CD119FP: The CD119FP is the Office number of the corresponding district.GEOID: The GEOID is a concatenation of the state fips code and the district number. GEOIDFQ: The GEOIDFQ attribute facilitates joining Census Bureau spatial data to Census Bureau summary file data from data.census.gov. It stands for the "Fully Qualified Geographic Identifier".NAMELSAD: The NAMELSAD is the Congressional District labeled name.LSAD: The LSAD is the Legal/Statistical Area Description.CDSESSN: The CDSESSN is the Congress District Session.MTFCC: The MTFCC is the MAF/TIGER Feature Class Code for "Congressional District".FUNCSTAT: The functional status (FUNCSTAT) code defines the current functional status of a geographic entityALAND: The ALAND is the Land Area (square meters).AWATER: The AWATER is the Water Area (square meters).INTPTLAT: The INTPTLAT is the Latitude.INTPLON: The INTPLON is the Longitude.OFFICE_ID: The OFFICE_ID is the Office number of the corresponding district.BIOGUIDE_ID: The BIOGUIDE_ID is the Biographical Directory of the US Congress.OFFICE_AUDIT_ID: PREFIX: The Prefix is the Member's title.FIRSTNAME: The FIRSTNAME is the Member's first name.MIDDLENAME: The MIDDLENAME is the Member's middle name.LASTNAME: The LASTNAME is the Member's last name.SUFFIX: The SUFFIX is the Member's suffix.LISTING_NAME: The LISTING_NAME is the Member's last name and first name.PHONE: The PHONE is the last five digits in the office phone number to reach the Member.WEBSITEURL: The WEBSITEURL is the Member's website link.VACANT: The VACANT field is a 'Y' or 'N' for the Member's vacancy.CONTACTFORMURL: The CONTACTFORMURL is direct access to the Member's contact form.PHOTOURL: The PHOTOURL is the link to a photo of the Member.FACE_BOOK_URL: The FACE_BOOK_URL is a link to the Member's Facebook link.TWITTER_URL: The TWITTER_URL is the Member's Twitter link.YOUTUBE_URL: The YOUTUBE_URL is the Member's Youtube link.INSTAGRAM_URL: The INSTAGRAM_URL is the Member's Instagram link.FLICKR_URL: The FLICKR_URL is the Member's Flicker link.PARTY: The PARTY is the party that the Member represents.DISTRICT: The DISTRICT is the district number.VACANCY: ROOM_NUM: The ROOM_NUM is the Member's office room number.HOB: is the Room Code 'Cannon House Office Building', 'Longworth House Office Building', 'Rayburn House Office Building'.COMMITTEE_ASSIGNMENTS: The COMMITTEE_ASSIGNMENTS are the committees that the Member is assigned to.LAST_UPDATED:For more informationhttps://www.census.gov/programs-surveys/geography/technical-documentation/records-layout/gaz-record-layouts.htmlhttps://www.congress.gov/help/field-values/member-bioguide-idshttps://www2.census.gov/geo/pdfs/reference/LSADCodes.pdf

  16. app layers stability

    • hub.arcgis.com
    Updated Apr 27, 2015
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    Santee Cooper GIS Laboratory - College of Charleston (2015). app layers stability [Dataset]. https://hub.arcgis.com/datasets/226bc8d4fd0e45efbc4c4a226764b800
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    Dataset updated
    Apr 27, 2015
    Dataset provided by
    Santee Cooperhttp://www.santeecooper.com/
    Authors
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    This is an urban planning map of Charleston county. This map contains all the layers necessary for assessing the development of Charleston County.

  17. a

    2005 Contours 5 ft

    • lakecountyhub-lakeingispro.hub.arcgis.com
    Updated Jul 12, 2025
    + more versions
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    Lake County Indiana GIS (2025). 2005 Contours 5 ft [Dataset]. https://lakecountyhub-lakeingispro.hub.arcgis.com/datasets/2005-contours-5-ft
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Lake County Indiana GIS
    Description

    This data represents the land contour elevations for Lake County, Indiana. The contours are at intervals of five feet. The contours were created using a 5 foot resolution DEM derived from 2005 orthophotography. The DEM was run through the focal statistics tool using a 10 x 10 cell grid to smooth the contour lines. Contours were then created using the contour tool in ArcGIS. The contours were clipped down to the county boundary. The steps in the video linked below were followed to create these countours https://www.youtube.com/watch?v=q3iblCHGoZk.

  18. Berkeley 500

    • hub.arcgis.com
    Updated Apr 30, 2015
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    Santee Cooper GIS Laboratory - College of Charleston (2015). Berkeley 500 [Dataset]. https://hub.arcgis.com/maps/0e109d60fb324b21aa4cd58d402b4b24
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    Dataset updated
    Apr 30, 2015
    Dataset provided by
    Santee Cooperhttp://www.santeecooper.com/
    Authors
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    berkeley 500

  19. Charleston Watershed Streams

    • hub.arcgis.com
    Updated Apr 29, 2015
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    Santee Cooper GIS Laboratory - College of Charleston (2015). Charleston Watershed Streams [Dataset]. https://hub.arcgis.com/datasets/SCGIS::watershed-orders/geoservice
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    Dataset updated
    Apr 29, 2015
    Dataset provided by
    Santee Cooperhttp://www.santeecooper.com/
    Authors
    Santee Cooper GIS Laboratory - College of Charleston
    Area covered
    Description

    Charleston SC Watersheds and streams

  20. DER Growth Scenario, Planning

    • drpep-sce2.opendata.arcgis.com
    Updated May 23, 2022
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    SCE C-GIS Project (2022). DER Growth Scenario, Planning [Dataset]. https://drpep-sce2.opendata.arcgis.com/datasets/SCE2::lnba-layer-1?layer=0
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset provided by
    Southern California Edison Companyhttps://sce.com/
    Authors
    SCE C-GIS Project
    Area covered
    Description

    Disclaimer:

    While Southern California Edison makes every effort to ensure the accuracy of DERiM, the data provided is for information only. Southern California Edison makes no guarantee, expressly or implied, for the outcome of an interconnection request.Completed Yearly refresh in August 2023

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statistics Canada (2021). QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://open.canada.ca/data/en/dataset/89be0c73-6f1f-40b7-b034-323cb40b8eff
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QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems

Explore at:
htmlAvailable download formats
Dataset updated
Oct 5, 2021
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

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