Test Dataset Description
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1. sample_data_compression.7z
Files:
- river_valley.asc
- urban_buildings.tif
- seashore.tif

Source: GEOPORTAL.GOV.PL (INSPIRE)
Map viewer: https://mapy.geoportal.gov.pl/imap/Imgp_2.html?gpmap=gp0
License: https://www.geoportal.gov.pl/en/about-geoportal/terms-and-conditions/

File:
- riverbottom.tif

License: Open-source
Description: Data acquired using a multibeam echo sounder for bathymetric measurements of the Oder River.

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2. sample_data_interpolation.7z
Files:
- cloud3bc5a74bba39fbf8.las
- E8_waly_accepted_MBES.las

License: Open-source
LAS file from DRONE LIDAR and MBES bathymetry

Co-financed by the Minister of Science under the "Regional Excellence Initiative" program
Grant number: RID/SP/0045/2024/01 (2024–2027)

Files:
- 2-xyz-1m2.txt
- 2-xyz-1m2.shp
- 5-xyz-64m2.txt
- 5-xyz-64m2.shp
- 6-xyz-332m2.txt
- 6-xyz-332m2.shp

License: Open-source
Description: Simulated data generated manually at different densities and sizes to represent areas with small spatial elevation variation.

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3. Dataset:
- dsm_6000files_400x400m.7z – Digital Surface Model (DSM)
- dtm_6000files_400x400m.7z – Digital Terrain Model (DTM)

Description: A set of 6000 raster files covering areas of 400x400 meters each, downloaded via the WCS (Web Coverage Service) provided by the Polish Geoportal.

Source: GEOPORTAL.GOV.PL
WCS Service: https://www.geoportal.gov.pl/en/services/download-service-wcs/
License: https://www.geoportal.gov.pl/en/about-geoportal/terms-and-conditions/

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4. File:
PL_geod.7z
Description: model of the distance between the geoid and the ellipsoid for Poland
License Open Source: https://www.gov.pl/web/gugik/model-quasi-geoidy-pl-geoid2021-modelem-obowiazujacym

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6. sample_use.7z
Movie from use sample FIDWAC

This service downloads the INSPIRE data for the “Geographical names” theme for the territory of Poland. The service uses the Atom 1.0 and OpenSearch 1.1 interface. Direct access to the spatial objects is provided by the WFS service (http://mapy.geoportal.gov.pl/wss/service/wfsGN/guest?request=GetCapabilities&version=2.0.0&service=wfs).

3D mesh models can be downloaded for free using the index maps available on the service www.geoportal.gov.pl in group of layers „Data for download”

This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

The orthophotomap represents a raster Earth surface image created by processing aerial or satellite images. Pursuant to the Geodetic and cartographic law: the person responsible for the maintenance of the orthophotomap database in Poland is the Surveyor General of Poland. At the moment, the most accurate orthophotomaps available in the National Geodetic and Cartographic Resources (NGCR) represent the area of 3 cm × 3 cm in a single pixel of image. In accordance with the currently applicable regulation of the Minister of Development and Technology dated December 16, 2022 (Journal of Laws 2023, item 89) regarding databases related to aerial and satellite imagery as well as orthophotomaps and digital terrain models, the orthophotomap database collects orthophotomaps of the following types: 1) standard, 2) true, 3) oblique. For detailed and up-to-date information on planned orthophotomap are presented on the website www.geoportal.gov.pl, layer group „Data acquisition status” In terms of the orthophotomap, WMS and WMTS are key services to display the standard orthophotomap: https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/StandardResolution https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMTS/StandardResolution WMS and WMTS for the high-resolution orthophotomap: https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/HighResolution https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMTS/HighResolution. and a service for the true orthophotomap: https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/TrueOrtho Orthophotomap details at www.geoportal.gov.pl are downloaded via WMS: https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/SkorowidzeWgAktualnosci https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/SkorowidzeWgRozdzielczosci https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/SkorowidzePrawdziwejOrtofotomapy https://mapy.geoportal.gov.pl/wss/service/PZGIK/ORTO/WMS/SkorowidzeOrtofotomapyUkosnej

The point cloud is a representation of the terrain in the form of measurement points with XYZ coordinates and are obtained on the basis of laser scanning, aerial photos and digitization of topographic maps.

Measurement Data is made available in digital form in the following formats:

LAZ*

Binary files containing point clouds from airborne laser scanning (LIDAR), saved in accordance with the 1.2 standard published in 2008 by ASPRS (American Society for Photogrammetry and Remote Sensing).

In addition to coordinates, these files contain, among others: information about the class of a given point and the intensity of reflection in three ranges of the visible part of electromagnetic radiation, corresponding to blue, green and red colors (RGB values), obtained from aerial photos.
Point classes were separated in accordance with the LAS format:
0. points processed but not classified,
2. points lying on the ground,
3. points representing low vegetation, i.e. in the range of 0-0.40 m,
4. points representing average vegetation, i.e. in the range of 0.40-2.00 m,
5. points representing high vegetation, i.e. above 2.00 m,
6. points representing buildings, structures and engineering structures;
7. noise,
9. points representing water areas
12. points from multiple coverage areas.

The correctness of point classification is not less than 95%.

ACCESS TO DATA – ONLINE

Service of downloading measurement data from the website www.geoportal.gov.pl

A service for downloading measurement data is available on the website www.geoportal.gov.pl, which allows you to download measurement data available in czgik.

*Data from the LAS format is compressed to the LAZ format, which reduces its volume to approximately 7-20% of its original size, while retaining every single bit - this is lossless compression. Data between LAZ and LAS formats can be converted using the free LASZIP tools (https://laszip.org/). Additionally, the compressed data in the Description attribute (always in the first Variable Length Record) contains metadata in the following structure: "GUGIK/flight date/measurement data density/situational accuracy [cm]/altitude accuracy [cm]

The Geopspatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling.The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided at http://dx.doi.org/doi:10.5066/F7542KMD. These Regions are identical to those used to organize the NHDPlus v.1 dataset (US EPA and US Geological Survey, 2005). Although the GF Feature data set has been derived from NHDPlus v.1, it is an entirely new data set that has been designed to generically support regional and national scale applications of hydrologic models. Definition of each type of feature c ...

This table contains information relevant to animal disease investigations in Manitoba from 2012 to present, conducted by the Chief Veterinary Office (CVO). Information includes year, number of sites, number of linked sites, animal species, disease types and results. Updated on a weekly basis. It is important that users are aware of the following caveats when reviewing data presented in the Animal Disease Investigations Dashboard: 1. Each investigation can have one or more cases involved depending on the number of herds or animals exposed. Not all disease investigations are handled the same due to a partnership approach. Diseases can be detected via surveillance, ad hoc reporting, or through other programs. 2. Rabies is a separate program. Please see Manitoba's Provincial Rabies Management Program for data related to Rabies Surveillance.3. Certain zoonotic diseases, such as salmonella or influenza, are also captured in more detail through other means. The total occurrence of a zoonotic disease represented in this dashboard reflects occurrences where risks or exposures were deemed significant enough to warrant further investigation. 4. Historically, One Health Investigations that were predominantly focused on Public Health issues rather than Animal Health concerns were not captured in this system and will be underrepresented here.Fields included (Alias (Field Name): Field description.)Year (Year): Year of the disease investigationNumber of Sites (Number_of_Sites): Number of investigation sitesNumber of Linked Sites (Number_of_Linked_Sites): Number of sites linked to investigation sitesSpecies/Class (Species_Class): Group of animal speciesDisease Type (Disease_Type): The type of disease that is being investigatedResult (Result): The outcome (positive/negative) for the corresponding animal disease investigation

[Metadata] Description: Land Study Bureau's Detailed Agricultural land productivity ratings for Kauai, Oahu, Maui, Molokai, Lanai and Hawaii. Source: Land Study Bureau's Detailed Land Classification, 1965-1972. Aerial Photos hand drafted onto paper overlays of the U.S.G.S., 1:24,000 topographic and orthophoto quads. Ratings were developed for both over-all productivity, and for specific crops. This layer represents only the over-all productivity ratings.May 2024: Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of the 2016 GIS database conversion and were no longer needed.For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/lsb.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release in GIS-friendly format. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 27 measures at the place level. An ArcGIS Online feature service is also available at https://www.arcgis.com/home/item.html?id=8eca985039464f4d83467b8f6aeb1320 for users to make maps online or to add data to desktop GIS software.

Poľsko-angličtina paralelný korpus z webovej stránky "geoportal.gov.pl (https://www.geoportal.gov.pl) Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT).Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu.

Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT).Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu.

Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT). Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu. Poľsko-angličtina paralelný korpus z webovej stránky "geoportal.gov.pl (https://www.geoportal.gov.pl) Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT). Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu.Poľsko-angličtina paralelný korpus z webovej stránky "geoportal.gov.pl (https://www.geoportal.gov.pl)

Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT). Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu.Poľsko-angličtina paralelný korpus z webovej stránky "geoportal.gov.pl (https://www.geoportal.gov.pl)

Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT). Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu. Poľsko-angličtina paralelný korpus z webovej stránky "geoportal.gov.pl (https://www.geoportal.gov.pl)

Tento súbor údajov bol vytvorený v rámci akcií SMART 2014/1074 a SMART 2015/1091 v rámci Nástroja na prepájanie Európy (European Language Resource Coordination – EELRC) Nástroja na prepájanie Európy (CEF.AT). Ďalšie informácie o projekte nájdete na: http://lr-coordination.eu.

Boundary geometry for all of the assessed property within the Province of Manitoba. Please visit the Manitoba Property Assessment website for more information www.gov.mb.ca/assessment. The purpose is to provide end users with a digital map of Manitoba's property assessment boundaries and summary assessment data. This data layer is suitable for GIS georeferencing. The Manitoba Property Assessment Information data reflects the most current mapping data available and was originally uploaded to Manitoba Maps as a feature layer on December 23, 2016. Fields Included: OBJECTID: Sequential unique whole numbers that are automatically generated ROLL_NO: Identify property within a municipality ROLL_NO_TXT: Identify property within a municipality. Formatted with 3 decimals PROPERTY_ADDRESS: Civic address if the property has one. Otherwise short legal description-section/township/range or plan MUNI_NO: Manitoba municipality identifier number MUNICIPALITY: Manitoba municipality identifier number and legal name of municipality MUNI_NAME_WITH_TYP: Name of municipality suitable for alphabetical list including type ASMT_ROLL: Tax year and assessment roll version (Preliminary, Final, Tax) DWELLING_UNITS: Number of dwelling units on the property FRONTAGE_OR_AREA: size of property in either acres or feet of frontage TOTAL_VALUE: Assessed value of property as of tax year and assessment roll version

Governor's Island Dataset for GRASS GIS This geospatial dataset contains raster and vector data for Governor's Island, New York City, USA. The top level directory governors_island_for_grass is a GRASS GIS location for NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet in US Surveyor's Feet with EPSG code 2263. Inside the location there is the PERMANENT mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers.

Instructions Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database directory. If you are new to GRASS GIS read the first time users guide.

Data Sources

https://orthos.dhses.ny.gov/

https://data.cityofnewyork.us/

Maps

Orthophotographs from 2012, 2014, 2016, 2018, and 2020

Digital elevation model from 2017

Digital surface models from 2014 and 2017

Landcover from 2014

License This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.

Mapa topograficzna w skali 1:10000 jest wielkoskalowym urzędowym opracowaniem kartograficznym, sporządzanym i aktualizowanym w sposób jednolity dla całego kraju. Treść stanowią elementy środowiska geograficznego powierzchni Ziemi i ich przestrzenne związki.

The Rural-Urban Classification is a Government Statistical Service product developed by the Office for National Statistics; the Department for Environment, Food and Rural Affairs; and the Welsh Assembly Government.Source: Office for National Statistics licensed under the Open Government Licence v.3.0.Contains OS data © Crown copyright 2025Links below to FAQ, Methodology and User GuideFAQ https://geoportal.statistics.gov.uk/documents/f359d48424664a1584dca319f3dac97f/aboutMethodology https://geoportal.statistics.gov.uk/documents/833a35f2a1ec49d98466b679ae0a0646/aboutUser Guide https://geoportal.statistics.gov.uk/documents/c8e8e6db38e04cb8937569d74bce277a/about

This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15° W - 157.07° W, 71.15° N - 71.41° N) and the Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitialGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats. Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format). The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are available either via FTP or on CD-ROM.

This database contains lines showing the locations of provincial waterways, such as drains, diversions, detention basins, floodways, dams and reservoirs. This dataset was created by digitizing high-resolution imagery of the water features and by digitizing the titled Water Control Work plans associated with the features for drains which have been designated as provincial waterways by Order-in-Council.This dataset was created to provide a record of the designated Provincial Waterways in Manitoba and was intended for use in administering Provincial Waterways Authorizations. Provincial Waterways are designated by Order-in-Council and are under the administration and control of Manitoba Infrastructure (MI) through the Water Resource Administration Act.

Compressed file sedPbZn_Appendices.zip contains the appendix files 2, 3, and 4 associated with U.S. Geological Survey (USGS) publication Open-File Report 2020-1147. Appendix 2 provides the scoring criteria of the Alaska Resource Data File (ARDF), listing keywords for different ARDF fields and the weighting factor for each word. Appendix 3 lists the ARDF sites with the resulting scores of the keyword searches. Appendix 4 charts out the queries used on the Geologic Map of Alaska to create different lithology datasets. The appendices are each provided as XLSX and CSV files. Also included is a CSV with the results of the scoring analysis showing for each subwatershed (HUC12) the score for each source data layer, total score, and potential and certainty classification.

This U.S. Geological Survey (USGS) data release for the geologic map of the Arlington quadrangle, Carbon County, Wyoming, is a Geologic Map Schema (GeMS, 2020)-compliant version of the printed geologic map published in USGS Geologic Map Quadrangle GQ-643 (Hyden and others, 1967). The database represents the geology for the 35,776-acre map plate at a publication scale of 1:24,000. References: Hyden, H.J., King, J.S., and Houston, R.S., 1967, Geologic map of the Arlington quadrangle, Carbon County, Wyoming: U.S. Geological Survey, Geologic Quadrangle Map GQ-643, scale 1:24,000; https://doi.org/10.3133/gq643. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.