6 datasets found
  1. Datasets (raw) used for MSc Thesis

    • figshare.com
    application/x-rar
    Updated Apr 18, 2021
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    Yannis Paraskevopoulos (2021). Datasets (raw) used for MSc Thesis [Dataset]. http://doi.org/10.6084/m9.figshare.14237705.v1
    Explore at:
    application/x-rarAvailable download formats
    Dataset updated
    Apr 18, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Yannis Paraskevopoulos
    License

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

    Description

    Raw data used in MSc Thesis. Available for reproducing methodology

  2. GIS Data and Analysis for Cooling Demand and Environmental Impact in The...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 24, 2025
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    Simon van Lierde; Simon van Lierde (2025). GIS Data and Analysis for Cooling Demand and Environmental Impact in The Hague [Dataset]. http://doi.org/10.5281/zenodo.8344581
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Simon van Lierde; Simon van Lierde
    Area covered
    The Hague
    Description

    This dataset contains raw GIS data sourced from the BAG (Basisregistratie Adressen en Gebouwen; Registry of Addresses and Buildings). It provides comprehensive information on buildings, including advanced height data and administrative details. It also contains geographic divisions within The Hague. Additionally, the dataset incorporates energy label data, offering insights into the energy efficiency and performance of these buildings. This combined dataset serves as the backbone of a Master's thesis in Industrial Ecology, analysing residential and office cooling and its environmental impacts in The Hague, Netherlands. The codebase of this analysis can be found in this Github repository: https://github.com/simonvanlierde/msc-thesis-ie

    The dataset includes a background research spreadsheet containing supporting calculations. It also presents geopackages with results from the cooling demand model (CDM) for various scenarios: Status quo (SQ), 2030, and 2050 scenarios (Low, Medium, and High)

    Background research data

    The background_research_data.xlsx spreadsheet contains comprehensive background research calculations supporting the shaping of input parameters used in the model. It contains several sheets:

    • Cooling Technologies: Details the various cooling technologies examined in the study, summarizing their characteristics and the market penetration mixes used in the analysis.
    • LCA Results of Ventilation Systems: Provides an overview of the ecoinvent processes serving as proxies for the life-cycle impacts of cooling equipment, along with calculations of the weight of cooling systems and contribution tables from the LCA-based assessment.
    • Material Scarcity: A detailed examination of the critical raw material content in the material footprint of ecoinvent processes, representing cooling equipment.
    • Heat Plans per Neighbourhood: Forecasts of future heating solutions for each neighbourhood in The Hague.
    • Building Stock: Analysis of the projected growth trends in residential and office building stocks in The Hague. AC Market: Market analysis covering air conditioner sales in the Netherlands from 2002 to 2022.
    • Climate Change: Computations of climate-related parameters based on KNMI climate scenarios.
    • Electricity Mix Analysis: Analysis of future projections for the Dutch electricity grid and calculations of life-cycle carbon intensities of the grid.

    Input data

    Geographic divisions

    • The outline of The Hague municipality through the Municipal boundaries (Gemeenten) layer, sourced from the Administrative boundaries (Bestuurlijke Gemeenten) dataset on the PDOK WFS service.
    • District (Wijken) and Neighbourhood (Buurten) layers were downloaded from the PDOK WFS service (from the CBS Wijken en Buurten 2022 data package) and clipped to the outline of The Hague.
    • The 4-digit postcodes layer was downloaded from PDOK WFS service (CBS Postcode4 statistieken 2020) and clipped to The Hague's outline. The postcodes within The Hague were subsequently stored in a csv file.
    • The census block layer was downloaded from the PDOK WFS service (from the CBS Vierkantstatistieken 100m 2021 data package) and also clipped to the outline of The Hague.
    • These layers have been combined in the GeographicDivisions_TheHague GeoPackage.

    BAG data

    • BAG data was acquired through the download of a BAG GeoPackage from the BAG ATOM download page.
    • In the resulting GeoPackage, the Residences (Verblijfsobject) and Building (Pand) layers were clipped to match The Hague's outline.
    • The resulting residence data can be found in the BAG_buildings_TheHague GeoPackage.

    3D BAG

    • Due to limitations imposed by the PDOK WFS service, which restricts the number of downloadable buildings to 10,000, it was necessary to acquire 145 individual GeoPackages for tiles covering The Hague from the 3D BAG website.
    • These GeoPackages were merged using the ogr2ogr append function from the GDAL library in bash.
    • Roof elevation data was extracted from the LoD 1.2 2D layer from the resulting GeoPackage.
    • Ground elevation data was obtained from the Pand layer.
    • Both of these layers were clipped to match The Hague's outline.
    • Roof and ground elevation data from the LoD 1.2 2D and Pand layers were joined to the Pand layer in the BAG dataset using the BAG ID of each building.
    • The resulting data can be found in the BAG_buildings_TheHague GeoPackage.

    Energy labels

    • Energy labels were downloaded from the Energy label registry (EP-online) and stored in energy_labels_TheNetherlands.csv.

    UHI effect data

    • A bitmap with the UHI effect intensity in The Hague was retrieved from the from the Dutch Natural Capital Atlas (Atlas Natuurlijk Kapitaal) and stored in UHI_effect_TheHague.tiff.

    Output data

    • The residence-level data joined to the building layer is contained in the BAG_buildings_with_residence_data_full GeoPackage.
    • The results for each building, according to different scenarios, are compiled in the buildings_with_CDM_results_[scenario]_full GeoPackages. The scenarios are abbreviated as follows:
      • SQ: Status Quo, covering the 2018-2022 reference period.
      • 2030: An average scenario projected for the year 2030.
      • 2050_L: A low-impact, best-case scenario for 2050.
      • 2050_M: A medium-impact, moderate scenario for 2050.
      • 2050_H: A high-impact, worst-case scenario for 2050.

  3. a

    STORMWATER

    • opendata.atlantaregional.com
    • 20200127-eastpointgis.hub.arcgis.com
    • +2more
    Updated Mar 25, 2019
    + more versions
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    City of East Point (2019). STORMWATER [Dataset]. https://opendata.atlantaregional.com/maps/27371aa9e5a9457fa7ec68eb3656bf31
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    Dataset updated
    Mar 25, 2019
    Dataset authored and provided by
    City of East Point
    Area covered
    Description

    On January 25, 2018 FEMA replaced this map with a new NFHL map with additional functionality which allows users to print official flood maps. On April 1, 2018 this map and NFHL link will no longer function. Please update your bookmark to https://hazards-fema.maps.arcgis.com/apps/webappviewer/index.html?id=8b0adb51996444d4879338b5529aa9cd. For more information on NFHL data availability, please visit the NFHL GIS Services page at https://hazards.fema.gov/femaportal/wps/portal/NFHLWMSAs of August 1, 2017 all FEMA systems will require the use of the “https” protocol, and “http” links will no longer function. This may impact NFHL web services. The FEMA GeoPlatform (including this map) will not be affected by this change. For more information on how NFHL GIS services will be impacted, please visit the NFHL GIS Services page at https://hazards.fema.gov/femaportal/wps/portal/NFHLWMS.An NFHL FIRMette print service is now available HERE. (For a video tutorial, click here.)OverviewThe National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized. It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Change (LOMCs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). Base Map ConsiderationsThe default base map is from a USGS service and conforms to FEMA's specification for horizontal accuracy. This base map from The National Map (TNM) consists of National Agriculture Imagery Program (NAIP) and high resolution orthoimagery (HRO) that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map. This map should be considered the best online resource to use for official National Flood Insurance Program (NFIP) purposes when determining locations in relation to regulatory flood hazard information. If a different base map is used with the NFHL, the accuracy specification may not be met and the resulting map should be used for general reference only, and not official NFIP purposes. Users can download a simplified base map from the USGS service via: https://viewer.nationalmap.gov/services/ For the specifics of FEMA’s policy on the use of digital flood hazard data for NFIP purposes see: http://www.fema.gov/library/viewRecord.do?id=3235Letter of Map Amendment (LOMA) pointsLOMA point locations are approximate. The location of the LOMA is referenced in the legal description of the letter itself. Click the LOMA point for a link to the letter (use the arrows at the top of the popup window to bring up the LOMA info, if needed).This LOMA database may include LOMAs that are no longer effective. To be certain a particular LOMA is currently valid, please check relevant documentation at https://msc.fema.gov/ . Relevant documents can be found for a particular community by choosing to "Search All Products", and finding the community by State and County. Documents include LOMAs found in the "Effective Products" and "LOMC" folders, as well as Revalidations (those LOMAs which are still considered to be effective after a map is revised).Updates3/27/2017 - Updated all references to https to prevent issues with mixed content.5/11/2016 - Added link to NFHL FIRMette Print Service. Updated LOMA and CBRS popup notes.2/20/2014 - Created a General Reference map for use when the USGS base map service is down. Renamed this map to "Official".Further InformationSpecific questions about FEMA flood maps can be directed to FEMAMapSpecialist@riskmapcds.comFor more flood map data, tool, and viewing options, visit the FEMA NFHL page. Information about connecting to web map services (REST, WMS, WFS) can be found here.Several fact sheets are available to help you learn more about FEMA’s NFHL utility: National Flood Hazard Layer (NFHL) GIS Services Users GuideNational Flood Hazard Layer (NFHL): New Products and Services for FEMA's Flood Hazard Map DataMoving to Digital Flood Hazard Information Standards for Flood Risk Analysis and MappingNFHL GIS Data: Perform Spatial Analyses and Make Custom Maps and Reports

  4. a

    Base Flood Elev 2016

    • montereycountyopendata-12017-01-13t232948815z-montereyco.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 1, 2016
    + more versions
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    County of Monterey (2016). Base Flood Elev 2016 [Dataset]. https://montereycountyopendata-12017-01-13t232948815z-montereyco.opendata.arcgis.com/datasets/base-flood-elev-2016
    Explore at:
    Dataset updated
    Jun 1, 2016
    Dataset authored and provided by
    County of Monterey
    Area covered
    Description

    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.This dataset published by FEMA on 5/18/2016. Available for download at https://msc.fema.gov.This GIS data is provided "AS IS." The County of Monterey (COUNTY) makes no warranties, express or implied, including without limitation, any implied warranties of merchantability and/or fitness for a particular purpose, regarding the accuracy, completeness, value, quality, validity, merchantability, suitability, and/or condition, of the GIS data. The COUNTY also specifically does not guarantee that the information is free from harmful effects or viruses and that it will not harm the users’ computer. By using this GIS, users accept sole responsibility for ensuring the protection of their own computer equipment and specifically hold COUNTY harmless from any damage or liability that might ensue do the use of the data. Users of COUNTY's GIS data are hereby notified that current public primary information sources should be consulted for verification of the data and information contained herein. Since the GIS data is dynamic, it will by its nature be inconsistent with the official COUNTY assessment roll file, surveys, maps and/or other documents produced by the County Office of the Assessor, the County Surveyor, and/or other relevant County Offices. Any use of COUNTY's GIS data is done exclusively at the risk of the party making such use.

  5. a

    Flood Haz Areas 2016

    • hub.arcgis.com
    Updated Jun 1, 2016
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    County of Monterey (2016). Flood Haz Areas 2016 [Dataset]. https://hub.arcgis.com/datasets/2949161b8cb94780b86ea052f7ff9d42
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    Dataset updated
    Jun 1, 2016
    Dataset authored and provided by
    County of Monterey
    Area covered
    Description

    The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.This dataset published by FEMA on 5/18/2016. Available for download at https://msc.fema.gov.This GIS data is provided "AS IS." The County of Monterey (COUNTY) makes no warranties, express or implied, including without limitation, any implied warranties of merchantability and/or fitness for a particular purpose, regarding the accuracy, completeness, value, quality, validity, merchantability, suitability, and/or condition, of the GIS data. The COUNTY also specifically does not guarantee that the information is free from harmful effects or viruses and that it will not harm the users’ computer. By using this GIS, users accept sole responsibility for ensuring the protection of their own computer equipment and specifically hold COUNTY harmless from any damage or liability that might ensue do the use of the data. Users of COUNTY's GIS data are hereby notified that current public primary information sources should be consulted for verification of the data and information contained herein. Since the GIS data is dynamic, it will by its nature be inconsistent with the official COUNTY assessment roll file, surveys, maps and/or other documents produced by the County Office of the Assessor, the County Surveyor, and/or other relevant County Offices. Any use of COUNTY's GIS data is done exclusively at the risk of the party making such use.

  6. a

    NAPSG Situational Awareness Web Map

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +2more
    Updated Aug 29, 2017
    + more versions
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    NAPSG Foundation (2017). NAPSG Situational Awareness Web Map [Dataset]. https://hub.arcgis.com/maps/8f16acb5bddd4045a6d518e80bcaf9da
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    Dataset updated
    Aug 29, 2017
    Dataset authored and provided by
    NAPSG Foundation
    Area covered
    Description

    Purpose: This is a web map used for a situational awareness viewer. Click on links below for more information, this is just a summary of the layers in this map as of 09/14/2018.Live Data Live Feed - Storm Reports (NOAA) - This map contains continuously updated U.S. tornado reports, wind storm reports and hail storm reports. You can click on each to receive information about the specific location and read a short description about the issue. Live Feed - Observed Weather (NOAA METAR) - Current wind and weather conditions at all METAR stations.Live Feed: Open Shelters (FEMA / Red Cross National Shelter System) - his web service displays data from the FEMA National Shelter System database. The FEMA NSS database is synchronized every morning with the American Red Cross shelter database. After this daily refresh, FEMA GIS connects every 20 minutes to the FEMA NSS database looking for any shelter updates that occur throughout the day in the the FEMA NSS.Live Feed: Active Hurricanes - Hurricane tracks and positions provide information on where the storm has been, where is it going, where it is currently located and the category as defined by wind speed. This data is provided by NOAA National Hurricane Center (NHC).Live Feed Action Level Stream Gauges (USGS) - This map service shows those gauges from the Live Stream Gauge layer that are currently flooding. It only includes those gauges where flood stages have been defined by the contributing agencies. Action stage represents the river depth at which the agency begins preparing for a flood and taking mitigative action.Live Feed: USA Short-Term Weather Warnings - This layer presents continuously updated US weather warnings. You can click on each to receive information about the specific location and read a short description about the issue. Each layer is updated every minute with data provided by NOAA’s National Weather Service - http://www.nws.noaa.gov/regsci/gis/shapefiles/.Live Feed: Power Outages - Current power outage data reported by the EARSS system.Live Feed: Radar (NOAA) - Quality Controlled 1km x 1km CONUS Radar Base Reflectivity. This data is provided by Mutil-Radar-Multi-Sensor (MRMS) algorithm.Flood Prediction / Simulation (Created on 09/13 by Pacific Northwest National Laboratory RIFT Model) - Pacific Northwest National Laboratory RIFT Model: The simulations, based on NOAA weather forecasts, are used to improve understanding of the storm and its potential flood impacts. The simulations were created with PNNL's Rapid Inundation Flood Tool, a two-dimensional hydrodynamic computer model.Base Data - FEMA National Flood Hazard Layer - The National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized. It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Change (LOMCs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). Base Data - Storm Surge Scenarios (NOAA) - This mapping service displays near worst case storm surge flooding (inundation) scenarios for the Gulf and Atlantic coasts. This map service was derived from an experimental storm surge data product developed by the National Hurricane Center (NHC).

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    Learn how you can add new datasets to our index.

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Yannis Paraskevopoulos (2021). Datasets (raw) used for MSc Thesis [Dataset]. http://doi.org/10.6084/m9.figshare.14237705.v1
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Datasets (raw) used for MSc Thesis

Explore at:
application/x-rarAvailable download formats
Dataset updated
Apr 18, 2021
Dataset provided by
Figsharehttp://figshare.com/
Authors
Yannis Paraskevopoulos
License

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

Description

Raw data used in MSc Thesis. Available for reproducing methodology

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