Public facing map for use by HOA/NA web map application for public use. Contains homeowner associations, neighborhood associations, and neighborhood coalitions. This map is fed by the data entry application (HOA\NA Data Entry Application (arcgis.com)).This is an application that shows the location of mapped neighborhood and homeowner associations within the City of Dallas.Boundaries are provided to Planning + Urban Design by neighborhood representatives. The City of Dallas does NOT check or assume any responsibility for their accuracy.

This data matrix contains the codebook vectors for a 82 x 50 neuron Emergent Self-Organizing Map which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included are coordinates derived from reservoir temperature and concentration of Sc, Nd, Pr, Tb, Lu, Gd, Tm, Ce, Yb, Sm, Ho, Er, Eu, Dy, F, alkalinity as bicarbonate, Si, B, Br, Li, Ba, Sr, sulfate, H (derived from pH), K, Mg, Ca, Cl, and Na converted to units of proportion. The concentration data were converted to isometric log-ratio coordinates (following Hron et al., 2010), where the first ratio is Sc serving as the denominator to the geometric mean of all of the remaining elements (Nd to Na), the second ratio is Nd serving as the denominator by the geometric mean of all of the remaining elements (Pr to Na), and so on, until the final ratio is Na to Cl. Both the temperature and log-ratio coordinates of the concentration data were normalized to a mean of zero and a sample standard deviation of one. The original source data all come from the U.S. Department of Energy Resources Geothermal Data Repository and are detailed in Engle (2018).

Cadastral map is a binding state map series of large scale. Its contents are points of minor horizontal geodetic control, planimetry and map lettering. It can have the form of digital map, analogue map or digitized map. More: Cadastral Notice No. 26/2007 Sb. as amended.

Cadastral map is a binding state map series of large scale. Its contents are points of minor horizontal geodetic control, planimetry and map lettering. It can have the form of digital map, analogue map or digitized map. More: Cadastral Notice No. 26/2007 Sb. as amended.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Aerial digital ortho-photography was the foundation imagery for map development. For Abó, the photography was acquired on April May 15, 2002 at a scale of approximately 1:3,000; for Quarai and Gran Quivira it was flown on April 2, 2003 at scales of 1:3,600 and 1:3000, respectively. The 2002-03 digital imagery has a base pixel resolution of 1.0 m. We also made use of statewide 1-meter resolution, true-color imagery from 2005 that became available in 2006 through the New Mexico Resource Geographic Information System. A 10 m spatial resolution USGS Digital Elevation Model (DEM) was used, in conjunction with ground data, to help discriminate between vegetation types based on elevation gradients and terrain. All imagery and other spatial data layers were compiled into a geodatabase and GIS using ArcGIS 9.3 (ESRI 2008).

The product represents a new design of the State Map at a scale of 1:5,000 (SM 5) in vector form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map, altimetry adopted from the altimetry part of ZABAGED and map lettering based on database of geographic names Geonames and abbreviations of feature type signification coming up from attributes of selected ZABAGED features. This new design of the SM 5 is repeatedly generated once a year on the part of the Czech territory where the vector form of cadastral map is available. Therefore, part of export units (map sheets of SM 5) has not a full coverage (price of such export unit is then proportionally reduced).

The vegetation of the Kuparuk River watershed was mapped for several US National Science Foundation projects, including the Arctic System Science Flux Study and the Long-Term Ecological Research program (Muller et al. 1998). The Kuparuk Basin map is a raster (tif) map, with 50-m pixels, and 8 land cover categories. The boundaries of the map form a rectangle that encompasses the entire Kuparuk River watershed, from the headwaters on the north side of the Brooks Range to the Beaufort Sea coast. The map is based on a modified unsupervised classification of a portion of a Landsat Multispectral Scanner (MSS) composite created by the National Mapping Division, U.S. Geological Survey EROS data center, Anchorage, Alaska. Geobotanical maps and earlier Landsat-derived maps of the region were used for supplementary information to interpret the spectral classes. Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: Elevation, Hydrology, Landscape, Landsat MSS False-Color InfraRed, Vegetation References Auerbach, N. A., and D. A. Walker. 1995. Preliminary Vegetation Map, Kuparuk River Basin, Alaska: A Landsat-Derived Classification, Joint Facility for Regional Ecosystem Analysis, Institute of Arctic and Alpine Research. University of Colorado, Boulder. Muller, S. V., Walker, D. A., Nelson, F. E., Auerback, N. A., Bockheim, J. G., Guyer, S., & D. Sherba. 1998. Accuracy assessment of a land-cover map of the Kuparuk river basin, Alaska: considerations for remote regions. Photogrammetric Engineering and Remote Sensing, 64(6): 619-628.

Map(s) of Na (sodium) concentration (Total content, Aqua Regia soluble content, and/or Mobile Metal Ion soluble content) in Top Outlet Sediment (TOS) and/or Bottom Outlet Sediment (BOS) samples, dry-sieved to <2 mm and/or <75 um grain size fractions. Source: The Geochemical Atlas of Australia (Caritat and Cooper, 2011)

The product represents a new design of the State Map at a scale of 1:5,000 (SM 5) in vector form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map, altimetry adopted from the altimetry part of ZABAGED and map lettering based on database of geographic names Geonames and abbreviations of feature type signification coming up from attributes of selected ZABAGED features. This new design of the SM 5 is repeatedly generated once a year on the part of the Czech territory where the vector form of cadastral map is available. Therefore, part of export units (map sheets of SM 5) has not a full coverage (price of such export unit is then proportionally reduced).

Interactive map of Omells de na Gaia is a set of data regarding the location of services and facilities in the municipality. Map data are represented in a viewer, on a map background. The points identified in this data set correspond to: urban facilities, companies and shops and hotels and restaurants. For each point, the name of the place or establishment and the postal address.

Hand annotated maps of Fiji marking lexical variation around the islands. Vakana, and words alphabetically beginning na-, ne-, ni-, no-, nu (na through nunu). Language as given:

3-D habitat suitability maps (HSM) or probability of occurrence maps, built using Shape-Constrained Generalized Additive Models (SC-GAMs) for the 30 main commercial species of the Atlantic region. Predictor variables for each species were selected from: sea water temperature, salinity, nitrate, net primary productivity, distance to seafloor, distance to coast, and relative position to mixed layer depth. Each species HSM contains 47 maps, one per depth level from 0 to 1000 m. Probability values of each map range from 0 (unsuitable habitat) to 1 (optimal habitat). For depth levels below the 0.99 quantile of the depth values found on the species occurrence data, NA values were assigned. Maps have been masked to species native range regions. See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632 ), for more details.

County level HWA presence / absense of Hemlock Wooly Adelgid in the US and Canadaupdated yearly in Feburary/March for the previous yearsupporting data here T:\FS\NA-SPF\NA-Headquarters\Project\KnowledgeMgmt\GIS\ALL_NA\HWA

Cadastral map is a binding state map series of large scale. Its contents are points of minor horizontal geodetic control, planimetry and map lettering. It can have the form of digital map, analogue map or digitized map. More: Cadastral Notice No. 26/2007 Sb. as amended.

Update: It has come to our attention that the original COMPLETE 6" pixel SCUBA maps had a calibration error, resulting in the flux per beam being undervalued by a factor of 2. This error has been corrected as of July 9th 2007 and new versions (v3) of the maps are now available through the following pages. A new version 2 was posted April 11, 2006. This version includes a small fix to the headers which results in a 1/2 - 1 pixel shift in the map. This datafile is called O phA_850umJCMT_F_v2.fits, and has been superseded by version 3 (above). Description: This file includes our own observations taken with SCUBA between March 2003 and January 2005 in fast-scanning mode, as well as archival data. Flux units are in Jy per 15 arcsecond beam. This version 3 (posted July 9, 2007) includes a calibration fix, as the old maps had the flux per beam being undervalued by a factor of 2. Also incorporates the fix in version 2. This version should be used rather than older versions. Version 2 (posted April 11, 20 06) includes a small fix to the headers which results in a 1/2 - 1 pixel shift in the map. Telescope: JCMT Status: Preliminary Sampling: Sensitivity: 40 mJy per beam Waveband: 850 microns Resolution: 15 arcseconds (features larger than 1.5 arcminues have been removed) Areal Coverage: 5.5 square degrees Map Center (Galactic): NA NA Map Center (J2000): RA = 16:28:34 Dec = -23:54 :54 Comments on Processing: As previously - flatfield. despike, weather, chop deconvolution (see Johnstone et al. 2000, ApJS, 131, 505) Additionally: - data gaussian smoothed with sigma = 1pixel (smoothing some of noise) - large scale structure removed through creating large scale smoothed map which is subtracted from the data. This map is made by replacing all large (positive and negative) pixels by 0 (large was taken to be +/- 0.25Jy/beam) (Thi s prevents some of the characteristic 'bowls' seen around maps that have only been smoothed and not zeroed for flattening.), followed by smoothing this map on large scales (15 pixels = 1.5arcmin). This is then removed from the original data.

The Digital Geologic-GIS Map of Alibates Flint Quarries National Monument and Lake Meredith National Recreational Area and Vicinity, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (aflm_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (aflm_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (alfl_lamr_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (aflm_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (aflm_geology_metadata_faq.pdf). Please read the alfl_lamr_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Water Development Board and Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (aflm_geology_metadata.txt or aflm_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Post rendered void (Article 135 of the Alur Act). Back to the RNU since 01/01/2016. The regulated zoning of the land use plan (POS) is digitised in accordance with the national requirements of the CNIG. In a SOP there are two main types of restricted zones: urban areas (U) and natural areas (N). These areas shall be demarcated on one or more graphic documents. A regulation is attached to each area. The by-law may lay down different rules, depending on whether the purpose of the construction relates to housing, hotel accommodation, offices, commerce, crafts, industry, agricultural or forestry operations or warehouse functions. Zones U and N are themselves divided according to existing or future developments. Thus in urban areas: — the UA areas indicate ancient urbanisation and dense tissue; — the UB areas a recent urbanisation with mainly collective housing; — UC areas a recent urbanisation but with pavilion habitat; — the UJ zones the various areas of activity of the municipality. With regard to natural areas: — the NA areas are referred to as future urbanisation, i.e. they can be developed at a later stage; — NB areas are natural areas partially serviced by equipment and in which constructions exist, but no further development is planned; — NC zones represent natural areas protected because of the agricultural value of the land or the richness of the soil or/or subsoil; finally, the ND areas are natural areas to protect either the quality of the sites or because there are nuisances or risks.

We are also including a tabular version that’s slightly more comprehensive (would include anything that didn’t join to the parcel basefile due to lot alterations or resubdivisions since 2023 and/or due to parcels comprised of condos). This Excel file can be downloaded HERE, and does not contain the latitude and longitude information.Data Dictionary: Attribute Label Definition Source

TAX_ID Unique 26 character property tax identification number Onondaga County Planning

PRINTKEY Abbreviated tax identification number (section-block-lot) Onondaga County Planning

ADDRESSNUM Property’s physical street address Onondaga County Planning

ADDRESSNAM Property’s physical street name Onondaga County Planning

LAT Latitude Onondaga County Planning

LONG Longitude Onondaga County Planning

TAX_ID_1 City Tax ID number (26 digit number used for parcel mapping) City of Syracuse - Assessment

SBL Property Tax Map Number (Section, Block, Lot) City of Syracuse - Assessment

PNUMBR Property Number (10 digit number) City of Syracuse - Assessment

StNum Parcel street number City of Syracuse - Assessment

StName Parcel street name City of Syracuse - Assessment

FullAddress Street number and street name City of Syracuse - Assessment

Zip Parcel zip code City of Syracuse - Assessment

desc_1 Lot description including dimensions City of Syracuse - Assessment

desc_2 Lot description including dimensions City of Syracuse - Assessment

desc_3 Lot description including dimensions City of Syracuse - Assessment

SHAPE_IND

City of Syracuse - Assessment

LUC_parcel New York State property type classification code assigned by assessor during each roll categorizing the property by use. For more details: https://www.tax.ny.gov/research/property/assess/manuals/prclas.htm City of Syracuse - Assessment

LU_parcel New York State property type classification name City of Syracuse - Assessment

LUCat_Old Legacy land use category that corresponds to the overarching NYS category, i.e. all 400s = commercial, all 300s = vacant land, etc. NA

land_av Land assessed value City of Syracuse - Assessment

total_av Full assessed value City of Syracuse - Assessment

Owner Property owner name (First, Initial, Last, Suffix) City of Syracuse - Assessment

Add1_OwnPOBox Property owner mailing address (PO Box) City of Syracuse - Assessment

Add2_OwnStAdd Property owner mailing address (street number, street name, street direction) City of Syracuse - Assessment

Add3_OwnUnitInfo Property owner mailing address unit info (unit name, unit number) City of Syracuse - Assessment

Add4_OwnCityStateZip Property owner mailing address (city, state or country, zip code) City of Syracuse - Assessment

FRONT Front footage for square or rectangular shaped lots and the effective front feet on irregularly shaped lots in feet City of Syracuse - Assessment

DEPTH Actual depth of rectangular shaped lots in feet (irregular lots are usually measured in acres or square feet) City of Syracuse - Assessment

ACRES Number of acres (where values were 0, acreage calculated as FRONT*DEPTH)/43560) City of Syracuse - Assessment

yr_built Year built. Where year built was "0" or null, effective year built is given. (Effective age is determined by comparing the physical condition of one building with that of other like-use, newer buildings. Effective age may or may not represent the actual year built; if there have been constant upgrades or excellent maintenance this may be more recent than the original year built.) City of Syracuse - Assessment

n_ResUnits Number of residential units NA - Calculated field

IPSVacant Is it a vacant structure? ("Commercial" or "Residential" = Yes; null = No) City of Syracuse - Division of Code Enforcement

IPS_Condition Property Condition Score assigned to vacant properties by housing inspectors during routine vacant inspections (1 = Worst; 5 = Best) City of Syracuse - Division of Code Enforcement

NREligible National Register of Historic Places Eligible ("NR Eligible (SHPO)," or "NR Listed") City of Syracuse - Neighborhood and Business Development

LPSS Locally Protected Site Status ("Eligible/Architecturally Significant" or "Local Protected Site or Local District") City of Syracuse - Neighborhood and Business Development

WTR_ACTIVE Water activity code ("I" = Inactive; "A" = Active) City of Syracuse - Water

RNI Is property located in Resurgent Neighborhood Initiative (RNI) Area? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development

DPW_Quad Geographic quadrant property is located in. Quadrants are divided Northwest, Northeast, Southwest, and Southeast based on property location in relation to I-81 and I-690. DPW uses the quad designation for some types of staff assignments. City of Syracuse - Department of Public Works

TNT_NAME TNT Sector property is located in City of Syracuse - Neighborhood and Business Development

NHOOD City Neighborhood Syracuse-Onondaga County Planning Agency (SOCPA)

NRSA Is property located in Neighborhood Revitilization Strategy Area (NRSA)? (1 = Yes; 0 = No) City of Syracuse - Neighborhood and Business Development

DOCE_Area Geographic boundary use to assign Division of Code Enforcement cases City of Syracuse - Neighborhood and Business Development

ZONE_DIST_PREV Former zoning district code Syracuse-Onondaga County Planning Agency (SOCPA)

REZONE ReZone designation (adopted June 2023) City of Syracuse - Neighborhood and Business Development

New_CC_DIST Current Common Council District property is located in Onondaga County Board of Elections

CTID_2020 Census Tract ID (2020) U.S. Census Bureau

CTLAB_2020 Census Tract Label (2020) U.S. Census Bureau

CT_2020 Census Tract (2020) U.S. Census Bureau

SpecNhood Is property located in a special Neighborhood historic preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)

InPD Is property located in preservation district? (1 = Yes; 0 or null = No) Syracuse-Onondaga County Planning Agency (SOCPA)

PDNAME Preservation District name Syracuse-Onondaga County Planning Agency (SOCPA)

ELECT_DIST Election district number Onondaga County Board of Elections

CITY_WARD City ward number Onondaga County Board of Elections

COUNTY_LEG Onondaga County Legislative District number (as of Dec 2022) Onondaga County Board of Elections

NYS_ASSEMB New York State Assembly District number (as of Dec 2022) Onondaga County Board of Elections

NYS_SENATE New York State Senate District number (as of Dec 2022) Onondaga County Board of Elections

US_CONGR United States Congressional District number Onondaga County Board of Elections

Dataset Contact InformationOrganization: Neighborhood & Business DevelopmentPosition:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.netPlease note there is a data quality issue in this iteration with the preservation district (“InPD,” “PDNAME”) and special neighborhood historic district (“SpecNhood”) fields erroneously showing null results for all parcels.

Maps portraying the flight paths for low altitude transects conducted from small aircraft over the National Park Service’s Arctic Network (Bering Land Bridge National Preserve, Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and Noatak National Preserve) and the U.S. Fish and Wildlife Service’s Selawik National Wildlife Refuge in northwest Alaska.

1:100,000 topographical map of Fiji showing physical, transport, settlement and other key features.