https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
The property addresses dataset contains addresses used for parcel polygon display. Please note: these addresses are the primary addresses displayed in VanMap and do not represent a complete set of all addresses. Some addresses are duplicated because they appear more than once on VanMap.For other related property datasets, such as property parcel polygons and property cadastral boundaries, you may wish to filter datasets on the property keyword. Data currencyThis data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyMuch of the City's land base is created using survey accuracy however some features are not as precise.
Historical PDF copy of tax maps of Township of Van Buren
Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.
ADMMR map collection: Van Deemen Property Plan; 1 in. to 1200 feet; 24 x 35 in.
Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
The R502 series of maps has been replaced by the National Topographic Map Series (NTMS). The R502 series consists of 542 map sheets and covers Australia at a scale of 1:250,000. It was compiled from aerial photography, but only about one quarter of the series was contoured. The standard sheet size is 1 degree of latitude by 1.5 degrees of longitude. Transverse Mercator map projection and Clark 1858 datum were used. Coverage of the country was completed in 1968.
The Raton basin is a large asymmetric syncline (2500 mi2 area) that extends from Huerfano Park, Colorado to Cimarron, New Mexico. As used here, the basin is defined by the limits of the outcrop of the Trinidad Sandstone. The Cretaceous and Tertiary rocks are sharply flexed to form hogbacks along the western margin of the basin on the east flank of the Sangre de Cristo Mountains. These rocks assume more gentle dips along the other margins of the Raton basin and are highly dissected. The Late Cretaceous in the Raton basin was a period of emergence of land and retreat of the Cretaceous epeiric sea. The coastline advanced eastward across New Mexico, as broad prograding deltaic and barrier coastal plains were formed seaward of aggrading fluvial systems. This map depicts the stratigraphic context and areal extent of uppermost Cretaceous and Paleocene rocks in the Raton basin including the marine Pierre Shale, marginal-marine Trinidad Sandstone, non-marine coal-bearing Vermejo Formation, non-marine coal-bearing Raton Formation and non-marine, non-coal-bearing Poison Canyon Formation.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This map layer shows Nijmegen in the year 1557. This dataset is offered as an OGC:WMS service. In addition, it is possible to download the data directly in two resolutions (png file format).
ADMMR map collection: Van Dyke Copper Company Assay Map of 1212 Level Underground Workings; 1 in. to 20 feet; 37 x 36 in.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Spatial data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643. Safeguarding the benefits that ecosystems provide to society is increasingly included as a target in international policies. To support such policies, ecosystem service maps are made. However, there is little attention for the accuracy of these maps. We made a systematic review and quantitative comparison of ecosystem service maps on the European scale to generate insights in the uncertainty of ecosystem service maps and discuss the possibilities for quantitative validation. This data package contains maps of the ecosystem services climate regulation, erosion protection, flood regulation, pollination, and recreation. For each service, a map of the average supply according to all analyzed maps is included, as well as a map of the uncertainty of the service. The data package contains a detailed read-me.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This map layer shows Nijmegen in the year 1639. This dataset is offered as an OGC:WMS service. In addition, it is possible to download the data directly in two resolutions (png file format).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Albertine Potter van Loon. (2018). Land Use Map of Vietnam used in the making of Vietnam Biomass Atlas [Raster file]. Available from Energydata.info Website: https://energydata.info/dataset/vietnam-biomass-atlas-2017 #VIETSE
The map, based on the helicopter measurements of 2014 and 2017, shows a conservative estimate of the depth of the interface between fresh and brackish groundwater in meters TAW. Taking into account the uncertainty of the measurements, two versions of the salinization map were drawn up: 1. A conservative estimate of the depth of the interface, assuming a 96% chance that fresh groundwater will be found above this interface. 2. An optimistic estimate of the depth of the interface assuming an 89% chance of fresh groundwater being found above this interface. Fresh water means a conductivity less than 2000 µS/cm. It is recommended to consult both interfaces to estimate the fresh-brackish water distribution at a particular location. In addition, the data points are available (“versiltingskaart_2014/2017_helicopter measurements”) so that it can be checked where effective measurements were taken and where interpolation took place. The data points are located on flight lines where a vertical profile can be consulted showing the salinity, the bulk resistivity, the lithology and the stratigraphy. The profiles show the boundary between fresh and brackish (optimistic and conservative) and between brackish and saline groundwater. The boundary between brackish and saline groundwater is defined as 25000 µS/cm. Due to buildings and other obstacles, certain zones within the coastal and polder area could not be measured. For these areas, one can fall back on the 1974 salinization map.
The map shows the depth of the 6 ?m interface in meters relative to ground level. This interface can be regarded as the interface between fresh and saline groundwater. By visualizing the map together with the data points, you know where measurements were taken and where interpolation took place. The map is the result of electromagnetic measurements carried out from the air in April 2014. The resistance of the subsurface was determined. The 6 ?m interface was derived from this. Resistivities (or resistances) of the subsoil less than 6 ?m can almost always be attributed to the presence of brackish or saline groundwater. The map is indicative and gives a global picture of the spatial distribution of saline and non-saline sediments in the eastern coastal plain. To know the local salinity distribution and lithological variation in detail, further research by the end user is necessary.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Ventral Attention Network group t-stat map, after functional alignment.
homo sapiens
fMRI-BOLD
group
rest eyes open
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains map layers in GeoPackage format with the following grids used in biodiversity surveys in the Netherlands:
Layer name | Size (m) | Description |
IvonGrid Kwartierhok | 1250x1042 | Used between 1902 and 1950 by IVON botanical surveys. |
IvonGrid Uurhok | 5000x4168 | Used between 1902 and 1950 by IVON botanical surveys. Each square contains 16 'kwartierhok' squares with corresponding first four characters in column name. |
RdGrid Kilometerhok | 1000 | Used since 1950 in biodiversity surveys. Squares that fall within the same 5 km square have the same value |
RdGrid Uurhok | 5000 | Used since 1950 in biodiversity surveys. Each square contains 25 kilometer squares. |
The RdGrid maps are available in the WGS84 and RD New (EPSG:28992) spatial reference systems, as they are aligned to rounded RD coordinates. IvonGrid is only available in WGS84.
Grid square codes
Kilometerhok (1x1 km) and Uurhok (5x5) grids have corresponding grid square codes. A code consists of three concatenated numbers for map sheat (1-62), 5 km square (11-58) and 1 km square (11-55). E.g. a 5 km square code looks like 4017. In literature and on collection labels this often written as 40.17 or 40-17.
Maintanance
This dataset is being curated by FLORON Plant Conservation Netherlands since 1988 for use in botanical surveys (Theo Peterbroers, Bart Vreeken and Ruud Beringen).
History
IVON stands for "Instituut voor Vegetatie-onderzoek Nederland", an NGO founded in 1930 was most active until the 1950's and then succeeded by FLORON in 1988. More information about the repartition of the IVON grid can be found in Atlas van de Nederlandse Flora part 1 (Mennema et al. 1989). The original map was hand drawn on topographical maps by J.W.C. Goethart en W. J. Jongmans (Van Ooststroom 1956) originally following the Bessel 1841 projection (EPSG:7004). The grid cells are equal in size, although not rounded to kilometers. The size was probably chosen to fit maps that were commercially available at that time.
References
Mennema, J., Quene-Boterenbrood, Plate, C. L., Van der Meijden, R., & Weeda, E. J. (1989). Atlas van de Nederlandse flora. Kosmos, Amsterdam.
van Ooststroom, S.J. (1956). Het I.V.O.N. – Werk. Correspondentieblad ten dienste van de floristiek en het vegetatie-onderzoek van Nederland 1: 2–3.
http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0
This height map shows the modelled height (mTAW) of the top of the Klei van Veldhoven. 'Hightmap Top Klei van Veldhoven' is a map layer that is part of the dataset 'H3O-De Kempen - Hydrogeology'.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (> 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm.
In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.
http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0
This raster layer of project H3O - De Voorkempen gives the height of the base (mTAW) of the model unit Shell-rich sand from Sprundel.
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
The property addresses dataset contains addresses used for parcel polygon display. Please note: these addresses are the primary addresses displayed in VanMap and do not represent a complete set of all addresses. Some addresses are duplicated because they appear more than once on VanMap.For other related property datasets, such as property parcel polygons and property cadastral boundaries, you may wish to filter datasets on the property keyword. Data currencyThis data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyMuch of the City's land base is created using survey accuracy however some features are not as precise.