ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

Monitoring Stations - shapefile with approximate locations of monitoring stations.

DSM2 Grid 2025-05-28 Historical

FC_2023.01

DSM2 v8.2.0, calibrated version:

• dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
• dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
• dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
• dsm2_8_2_0_calibrated_nodes - DSM2 nodes
• dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
• dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
• dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
• dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
• dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
• dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
• dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

DSM2 v8.2.1, historical version:

• DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
• DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
• DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
• DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
• DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

Change Log

7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

1:1000 geo-reference database including building name and address, site polygon and road centre line in ASCII, FGDB, GML, DWG and DGN formats.

Georeferenced base cadastral spatial data set (GRPK). Since 1 January 2018, the Georeference-based cadastral dataset is called the former GDR10LT spatial data set. GRPK is a state cadastre where stable natural and anthropogenic objects of the earth’s surface are recorded. This spatial data set consists of spatial objects related to bodies of water, land cover, transport network, engineering communications, geodetic points, altitudes, place names, etc. In addition, each object has unique identifiers and life cycle information.

This data set includes geographic coordinates for both pre- and post-adjustment locations used to georectify orthoimagery and digital surface models derived from aerial imagery collected using unoccupied aerial systems (UAS) in October 2016. Georeferencing links are provided for each data type (color or multi-band imagery) and portion of the atoll sampled during different UAS missions. Orthoimagery and DSM derived from a given data set and area were georeferenced using the same set of points.

The Georeferenced U.S. County-Level Population Projections, Total and by Sex, Race and Age, Based on the SSPs, 2020-2100 consists of county-level population projection scenarios of total population, and by age, sex, and race in five-year intervals for all U.S. counties for the period 2020 - 2100. These data have numerous potential uses and can serve as inputs for addressing questions involving sub-national demographic change in the United States in the near, middle- and long-term.

Scanned maps and historical data usually do not contain spatial reference information. In these cases you will need to use accurate location data to align or georeference your raster data to a map coordinate system. A map coordinate system is defined using a map projection; a method by which the curved surface of the earth is portrayed on a flat surface.When you georeference raster data, you define its location using map coordinates and assign the map frame's coordinate system. This process enables the raster data to be viewed, queried, and analysed alongside your other geographic information.

The dataset collects financial data about public works in Italy, specifically, it focuses on soil defense investments. The data is sourced from three distinct platforms: the OpenCoesione website, the OpenBDAP database, the Ministry of Economy and Finance's open data platform, and the ReNDiS database, provided by ISPRA, that exclusively gathers information about interventions in soil defense. The data obtained is interconnected using unique project codes (CUP) to prevent duplication.

Georeferencing involves integrating geographic references into the three datasets. It enhances the accuracy of spatial analyses of spatial defense investments and provides valuable context for understanding the geographical distribution of available financial data. By incorporating geographic references such as regions, provinces, and municipalities analysts can gain insights into the spatial patterns and relationships within the datasets. This step is crucial for effective decision-making and policy formulation in the field of soil defense investments.

Geographical references for each project were integrated using codes and names of regions, provinces, and municipalities from the ISPRA database. This database retrieves information directly from ISTAT websites, ensuring constant updates to names and codes, thus enhancing the accuracy of spatial analyses.

Furthermore, geographical codes facilitated the association of centroids coordinates and polygon shapes for each financial observation, enhancing spatial visualization and analysis of soil defense investments, empowering decision-makers with a deeper understanding of the geographic distribution and impact of these initiatives. This comprehensive approach allows for a deeper exploration of the geographical factors influencing soil defense investments, including identifying hotspots of activity, assessing spatial trends, and understanding the localized impact of interventions on environmental sustainability and community resilience.

The zip folder comprises four subfolders and two files. Among the files, one is a text file containing metadata, while the other is a CSV file consolidating merged data at the national level from three repositories. The subfolders contain data categorized by region and data categorized by region sourced from the three distinct repositories.

Datasets present 28 variables:

• Columns 1-2: descriptive variables;
• Column 3: total amount financed for each intervention;
• Columns 4-9: geo-reference variables;
• Columnn 10:25: key dates of the public works process;
• Column 26: source of the data;
• Columns 27-28: geo-referencing (centroids and areal shape).

An additional dataset has been added comprising all Italian municipalities, including thos that lack information on soil defense investments. In such a way, there are geographical information regarding all the peninsula.

Revision Date of Geo-Reference Database - iG1000

This layer represents geographically significant reference latitudes and longitudes for the world such as the equator, tropics, Arctic and Antarctic Circles, Prime Meridian, and International Date Line. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Named Latitudes and Longitudes GeoReference Lines.

The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located on the Florida shelf edge in the northeastern Gulf of Mexico in 2000 using sidescan sonar and high-resolution chirp seismic-reflection systems. This survey was conducted as part of a larger study of the effectiveness of no-fishing reserves in protecting grouper spawning aggregations. Field activity information for this cruise is available on-line through the U.S. Geological Survey Coastal and Marine Geoscience Data System at https://cmgds.marine.usgs.gov/fan_info.php?fa=2000-005-FA.

URL: https://geoscience.data.qld.gov.au/dataset/ds000095

This dataset includes a zip file of a DVD product release containing georeferenced raster images of 1:250,000 geology map sheets.

In 1992 the latest editions of published geological 1: 250 000 standard map sheets were scanned, and made available as a set of raster images covering most of the State. Generally each sheet map area was scanned in four parts with a separate scan for the map reference. The geo-referenced data were originally provided on compact disc as a set of files in TIFF format and later the data was release on DVD where raster data file sizes were minimised by saving the TIFF data in JPEG format with geo-referencing in geographical co-ordinates Lat/Long based on the Geocentric Datum of Australia, GDA94 geodetic (lat/long) cordinates. MapInfo .tab files of the 'map face' images are also supplied.

Crowdsourced georeference data for over three thousand maps, annotated online by participants in the BL Georeferencer project. http://britishlibrary.typepad.co.uk/magnificentmaps/2014/08/success.html "In just 28 days from release, 3,220 maps have been geo-located online by participants in the BL Georeferencer project. For this quantity of maps to be completed at such a speed is truly impressive, and testifies to much scrutiny of maps and online research by many people."

NB The image identifier refers to its Flickr identifier. "11000447924" refers to the image located at https://flickr.com/photos/biritishlibrary/11000447924

Georeferencing the "Atlas du plan général de la ville de Paris par Edme Verniquet" Géoréférencement de l'Atlas du plan général de la ville de Paris par Edme Verniquet This dataset contains the necessary data control points to georeference the "Atlas du plan général de la ville de Paris par Edme Verniquet" based on 2 different versions of the atlas: one digitized by the Bibliothèque nationale de France (BnF) and the other by The David Rumsey Historical Map Collection. The dataset contains the control points in QGIS format (.points files) and as Allmaps georeference annotations. It also contains the georeferenced map sheets as geotiff.

The map shows the geo-referencing of the Facilitation Points made with PNNR funds and the points Digitally made with MEF funds (not PNNR), present in the Liguria Region. The data were provided by U.O. SISTEMI INFORMATIVI Georeferencing through coordinates - Year 2024- Entire Ligurian Territory - Projection System UTM ETRS89.

This dataset represents the cadastral maps created by the Geomatics branch in support of real property acquisitions within the Department of Water Resources. The geographic extent of each map frame was created after using all the spatial attributes available in each map to appropriately georeference it and create the extents from the outer frame of the map. The maps were digitally scanned from the original paper format that were archived after moving to the new resources building. As new maps are created by the branch for real property acquisition services, they will be georeference, attributed and updated into this dataset. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.6, dated September 27, 2023. DWR makes no warranties or guarantees either expressed or implied as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Original internal source projection for this dataset was Teale Albers/NAD83. For copies of data in the original projection, please contact DWR. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov as available and appropriate.

Abstract

The dataset was derived by the Geological and Bioregional Assessment Program. Georeferenced TIF image of the magentics of the Beetaloo Sub-basin and adjacent area. Total magnetic intensity (TMI) data measures variations in the intensity of the Earth magnetic field caused by the contrasting content of rock-forming minerals in the Earths crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The 2015 Total magnetic Intensity (TMI) grid of Australia has a grid cell size of ~3 seconds of arc (approximately 80 m). This grid only includes airborne-derived TMI data for onshore and near offshore continental areas.

Attribution

Geological and Bioregional Assessments

History

This dataset is a clip of the Total Magnetic Intensity (TMI) Grid of Australia 2015 (sixth edition) for the area immediately surrounding the Beetaloo GBA region. The clip was carried out in ArcGIS software and saves in GEOTIFF format. For more information on the parent dataset please see http://pid.geoscience.gov.au/dataset/ga/89595 .

Originally produced by the Farm Security Administration, these are georeferenced aerial images from Morton County, North Dakota. Historic print images housed at the Mandan, North Dakota ARS Long-Term Agricultural Research facility were digitized, georeferenced, and processed for use in both professional and consumer level GIS applications, or in photo-editing applications. The original images were produced by the Farm Security Administration to monitor government compliance for farm land agreements. Current applications include assessing land use change over time with regard to erosion, land cover, and natural and man-made structures. Not for use in high precision applications. Resources in this dataset:Resource Title: 1938_AZY_3_89. File Name: 1938_AZY_3_89_0.zipResource Description: Contains IIQ, JPG, OVR, XML, AUX, and TIF files processed in ArcMap / ArcGIS that can be used in ArcGIS applications, or in other photo or geospatial applications. Resource Title: 1938 Mosaic Index. File Name: 1938_mosaic_index_1.zipResource Description: This is the index key for the 1938 Mandan aerial images from Morton County, ND. To find the geographic location for each uploaded 1938 image, consult this map. File titles are arranged as follows: Year_Area_Roll_Frame. The mosaic map displays Roll_Frame coordinates to correspond to these images. Contains TIF, OVR, JPG, AUX, IIQ, and XML files. Resource Title: 1938_AZY_5_113. File Name: 1938_AZY_5_113_2.zipResource Description: Contains IIQ, JPG, OVR, XML, AUX, and TIF files processed in ArcMap / ArcGIS.

This dataset represents the cadastral maps created by the Geomatics branch in support of real property acquisitions within the Department of Water Resources. The geographic extent of each map frame was created after using all the spatial attributes available in each map to appropriately georeference it and create the extents from the outer frame of the map. The maps were digitally scanned from the original paper format that were archived after moving to the new resources building. As new maps are created by the branch for real property acquisition services, they will be georeference, attributed and updated into this dataset. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.6, dated September 27, 2023. DWR makes no warranties or guarantees either expressed or implied as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Original internal source projection for this dataset was Teale Albers/NAD83. For copies of data in the original projection, please contact DWR. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov as available and appropriate.

This layer represents geographically significant reference latitudes and longitudes for the world such as the equator, tropics, Arctic and Antarctic Circles, Prime Meridian, and International Date Line.The source of this dataset is Esri.To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Named Latitudes and Longitudes Georeference Lines.

The map shows the georeferencing of the theaters and cinemas present in the Liguria Region. The data derive from the official data base of Regione Liguria, managed by the Culture and Entertainment sector Coverage: Entire Regional Territory — Origin: Georeference on Regional Technical Paper — sc. 1:5000 — Projection System ETRF89