This layer provides 3D models of buildings for Basel, Switzerland to support your work 3D. You can use this layer ArcGIS Pro projects or the Online Scene viewer to visualize your maps and layers within the context of the built environment. This layer includes data provided by the City of Basel, Switzerland .

Important Note: this item is marked as Deprecated and will no longer be maintained. Please use one of the following items instead:LV95 Swiss Topographic MapLV95 Swiss Navigation MapLV95 Swiss Street Map (Night)LV95 Swiss Dark Gray Canvas MapLV95 Swiss Light Gray Canvas MapLV95 Swiss Street MapLV95 Swiss Hybrid Reference MapThis map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on land cover and shaded relief imagery for added context.The map provides coverage for Switzerland for scales of ~1:1,000 to ~1:1,900,000. It is optimized for services in the local coordinate system CH1903+ LV95 using the swisstopo tiling scheme.This basemap is built on the datasets swissTLM3D, swissBOUNDARIES3D, swissTLMRegio, swissALTI3D and DHM25 provided by swisstopo and enhanced with data of the cantons of Geneva, Basel-Stadt, Basel-Landschaft, Solothurn, Schaffhausen, Bern and Uri.

The city of Nürnberg (as many cities) recorded war damage on paper maps during WWII, using cadastral base maps. This dataset provides a vectorised representation of the 1942 cadastral map with building footprints as basic geo-features. These are enriched with data from thematic maps on heritage values and war damage.

Version 1 contains:

• The QGIS Project file
• A Geopackage file with the building footprint geometry layer, “Gebaeude_Nuernberg_Altstadt_V1”. On this layer the thematic information from the maps has been added as attribute values. Every building footprint feature has one value per attribute. Which means that in places where a building footprint contains more than one categorisation on a map this model only has the value of the most prominent categorisation. This reduction will be changed in later versions of the geopackage.
  There are also several layers without geometries. These hold the categorisation information from the historical maps, “Legend_X_265”. Additionally, the “Source_Overview” layer links map sources and attributes in the geometry layer.

Citation:

Please Cite the War Damage Atlas alongside the Dataset:

Enss, Carmen M. Atlas Kriegsschadenskarten Deutschland: Stadtkartierung und Heritage Making Im Wiederaufbau Um 1945. 1st ed. Basel/Berlin/Boston: Walter de Gruyter GmbH, 2023.

World Topographic Map, last updated March 2018, is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, contours, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on shaded relief imagery for added context.The map provides coverage for Switzerland for scales of ~1:1,000 to ~1:300,000. This basemap is built on the datasets swissTLM3D, swissBOUNDARIES3D, swissALTI3D and DHM25 provided by swisstopo and enhanced with data of the cantons of Geneva, Basel-Stadt, Basel-Landschaft, Solothurn, Schaffhausen, Bern and Uri.

Der KbS besteht aus einer Datenbank der belasteten Betriebs-, Unfall- und Ablagerungsstandorte gemäss der Verordnung über die Sanierung von belasteten Standorten (Altlasten-Verordnung, AltlV) und der Verknüpfung mit dem Standort-Perimeter (Polygon-Shape im GIS). Im GeoView BL werden alle im Kanton Basel-Landschaft rechtskräftigen, im Sinne der Altlastenverordnung (AltlV, SR 814.680) belasteten Standorte dargestellt. Die publizierte Karte hat keine rechtliche Gültigkeit. Eine Gewähr für die Richtigkeit (z.B. dass ein nicht eingetragenes Grundstück unbelastet ist), besteht nicht.

the dataset includes: 1. EPIC_outputs are EPIC yearly output files from Rainfed/Irrigated corn grain simulations using 2006/2011 fertilizer management scenario for the simulation periods of 2002 to 2009 and 2010 to 2017 (e.g. CornGrainIrrig-2006FMS_yrs2002-09.csv: yearly output from 2002 to 2009 for Irrigated Corn grain using 2006 fertilizer management scenario; CornGrainRainfed-2011FMS_yrs2010-2017.csv: yearly output from 2010 to 2017 for Rainfed Corn grain using 2011 fertilizer management scenario); 2. \EPIC_outputsAggregated are saved average annual EPIC output aggregated over entire CONUS or GRIDCELL used for GIS maps including Figures 4, 5 and 9 (e.g. CONUS_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over CONUS CONUS_GRIDCELL_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over each CONUS GRIDCELL); 3.\SummaryData_FromEPIC_for_Tables_Figs are saved summarized data for all the tables and Figs in Excel sheets. This dataset is associated with the following publication: Wang, X., Y. Yuan, V. Benson, and L. Ran. An Integrated Multi-Media Modeling System for Regional- to National-Scale Nitrogen and Crop Productivity Assessments. Agriculture. MDPI, Basel, SWITZERLAND, 15(10): 1017, (2025).

Update vom 17.1.2023.Aufgrund der minimalen Nutzung und grossem Speicherbedarf wurde dieser Datensatz auf wenige kleine Regionen (Basel Stadt, Zürich) begrenzt. Die restlichen Regionen wurden gelöscht.