This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

This is a zipped GIS compatible shapefile of gravity data points used in the Milford, Utah FORGE project as of March 21st, 2016. The shapefile is native to ArcGIS, but can be used with many GIS software packages. Additionally, there is a .dbf (dBase) file that contains the dataset which can be read with Microsoft Excel.

The Data was downloaded from the PACES (Pan American Center for Earth and Environmental Studies) hosted by University of Texas El Paso. A readme file is included in the archive with abbreviation explanations and units.

Click to downloadClick for metadataService URL: https://gis.dnr.wa.gov/site2/rest/services/Public_Forest_Practices/WADNR_PUBLIC_FP_Water_Type/MapServer/4For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.The DNR Forest Practices Wetlands Geographic Information System (GIS) Layer is based on the National Wetlands Inventory (NWI). In cooperation with the Washington State Department of Ecology, DNR Forest Practices developed a systematic reclassification of the original USFWS wetlands codes into WAC 222-16-035 types. The reclassification was done in 1995 according to the Forest Practice Rules in place at the time. The WAC's for defining wetlands are 222-16-035 and 222-16-050.The DNR Forest Practices Wetlands Geographic Information System (GIS) Layer is based on the National Wetlands Inventory (NWI). In cooperation with the Washington State Department of Ecology, DNR Forest Practices developed a systematic reclassification of the original USFWS wetlands codes into WAC 222-16-035 types. The reclassification was done in 1995 according to the Forest Practice Rules in place at the time. The WAC's for defining wetlands are 222-16-035 and 222-16-050.It is intended that these data be only a first step in determining whether or not wetland issues have been or need to be addressed in an area. The DNR Forest Practices Division and the Department of Ecology strongly supports the additional use of hydric soils (from the GIS soils layer) to add weight to the call of 'wetland'. Reports from the Department of Ecology indicate that these data may substantially underestimate the extent of forested wetlands. Various studies show the NWI data is 25-80% accurate in forested areas. Most of these data were collected from stereopaired aerial photos at a scale of 1:58,000. The stated accuracy is that of a 1:24,000 map, or plus or minus 40 feet. In addition, some parts of the state have data that are 30 years old and only a small percentage have been field checked. Thus, for regulatory purposes, the user should not rely solely on these data. On-the-ground checking must accompany any regulatory call based on these data.The reclassification is based on the USFWS FWS_CODE. The FWS_CODE is a concatenation of three subcomponents: Wetland system, class, and water regime. Forest Practices further divided the components into system, subsystem, class, subclass, water regime, special modifiers, xclass, subxclass, and xsystem. The last three items (xsomething) are for wetland areas which do not easily lend themselves to one class alone. The resulting classification system uses two fields: WLND_CLASS and WLND_TYPE. WLND_CLASS indicates whether the polygon is a forested wetland (F), open water (O), or a vegetated wetland (W). WLND_TYPE, indicates whether the wetland is a type A (1), type B (2), or a generic wetland (3) that doesn't fit the categories for A or B type wetlands. WLND_TYPE = 0 (zero) is used where WLND_CLASS = O (letter "O").

The wetland polygon is classified as F, forested wetland; O, open water; or W, vegetated wetland depending on the following FWS_CODE categories: F O W --------------------------------------------------- Forested Open Vegetated Wetland Water Wetland --------------------------------------------PFO* POW PUB5 E2FO PRB* PML2 PUB1-4 PEM* PAB* L2US5 PUS1-4 L2EM2 PFL* PSS* L1RB* PML1 L1UB*
L1AB* L1OW L2RB* L2UB* L2AB* L2RS* L2US1-4 L2OW

• indicates inclusion of the subcategory (ie. PEM* includes PEM1F, PEM1FB, etc.).

DNR FOREST PRACTICES WETLANDS DATASET ON FPARS Internet Mapping Website: The FPARS Resource Map and Water Type Map display Forested, Type A, Type B, and "other" wetlands. Open water polygons are not displayed on the FPARS Resource Map and Water Type Map in an attempt to minimize clutter. The following code combinations are found in the DNR Forest Practices wetlands dataset:

WLND_CLASS WLND_TYPE wetland polygon classification F 3 Forested wetland as defined in WAC 222-16-035 O 0 *NWI open water (not displayed on FPARS Resource or Water Type Maps) W 1 Type A Wetland as defined in WAC 222-16-035 W 2 Type B Wetland as defined in WAC 222-16-035 W 3 other wetland

• NWI open water polygons are indicated by WLND_CLASS = O and WLND_TYPE = 0. Open water is used in the USFWS and WAC 222-16-035 classification system. These open water polygons are not included in the FPARS Resource Map and Water Type Map views of this dataset in an attempt to minimize clutter on the FPARS maps.

Lipas-sport facilities as points (shapefile), Lipas-outdoor routes as lines (shapeifle) and Lipas-recreatonal areas as polygons (shapefile). Lipas-basic attributes as excel. Lipas-data is open data under Licence CC4.0 International.

The SMARTDEST DATASET WP3 v1.0 includes data at sub-city level for 7 cities: Amsterdam, Barcelona, Edinburgh, Lisbon, Ljubljana, Turin, and Venice. It is made up of information extracted from public sources at the local level (mostly, city council open data portals) or volunteered geographic information, that is, geospatial content generated by non-professionals using mapping systems available on the Internet (e.g., Geofabrik). Details on data sources and variables are included in a ‘metadata’ spreadsheet in the excel file. The same excel file contains 5 additional spreadsheets. The first one, labelled #1, was used to perform the analysis on the determinants of the geographical spread of tourism supply in SMARTDEST case study’s cities (in the main document D3.3, section 4.1), The second one (labelled #2) offers information that would allow to replicate the analysis on tourism-led population decline reported in section 4.3. As for spreadsheets named #3-AMS, #4-BCN, and #5-EDI, they refer to data sources and variables used to run follow-up analyses discussed in section 5.1, with the objective of digging into the causes of depopulation in Amsterdam, Barcelona, and Edinburgh, respectively. The column ‘row’ can be used to merge the excel file with the shapefile ‘db_task3.3_SmartDest’. Data are available at the buurt level in Amsterdam (an administrative unit roughly corresponding to a neighbourhood), census tract level in Barcelona and Ljubljana, for data zones in Edinburgh, statistical zones in Turin, and località in Venice.

*This dataset is authored by the Washington Department of Natural Resources and is being shared as a direct link by Pend Oreille County. This is a reference water body dataset used by our organization.*DNR Water Bodies (WB) and DNR Watercourses (WC) collectively known as DNR Hydro, contain water feature location and water type information that is used by the Forest Practices program to regulate Forest Practices Activities.For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.DNR Water Bodies (WB) and DNR Watercourses (WC) collectively known as DNR Hydro, contain water feature location and water type that is used by the Forest Practices program to determine the amount and pattern of riparian buffer protection required during forest practices activities. The water type is a Washington State Department of Natural Resources (DNR) classification system of streams and water bodies that identifies whether or not streams/water bodies have potential fish habitat, and whether or not streams experience perennial or seasonal flow.WC Hydro represents water courses as arcs or lines. These occur alone as single arcs representing streams, ditches, or pipelines, or as centerlines through water body polygons such as double-banked streams, lakes, impoundments, reservoirs, wet areas, or glaciers. WB represents water bodies as polygonal features. WB Hydro includes features such as Puget Sound, lakes, wet areas, reservoirs, impoundments, glaciers, islands, and dams. WS represents shorelines as polygon perimeter arcs and are edited coincidentally with WB. WC and WB are edited daily and simultaneously; updates are posted weekly for internal DNR use and monthly for external use. Routes can be built on the WC by using the whole stream identifier (WC_LLID_NR). DNR HYDRO is continually updated through the DNR Forest Practices Water Type Modification Form process. DNR HYDRO is mixed scale. The nominal scale is considered 1:24,000, but some data at larger scales are included.Watercourses Layer Metadata

In deze zenodo-record zijn de brongegevens terug te vinden waarop de analyses in het hoofdstuk "Kenniswinst archeologieregelgeving 2016-2021" zijn gebaseerd. Dit hoofdstuk maakt deel uit van het onderzoeksrapport "Ameels V, Carpentier F, De Ketelaere S, Ervynck A, Geuens J, Haneca K, Pieters M, Van Looveren J & Verhelst A 2023: Evaluatie archeologie 2016-2021, Onderzoeksrapport Agentschap Onroerend Erfgoed, Brussel.":

1. Een overzicht van alle ingediende eindverslagen (n = 576) en nota's met eindafwerking (n = 26) over de periode 1 april 2016 t.e.m. 31 december 2021

eindverslagen_notas_2016_2021_overzicht.csv (comma-separated values)

eindverslagen_notas_2016_2021_overzicht.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2016_2021_overzicht.shp (ESRI shapefile)

 (Een overzicht van alle ingediende eindverslagen - vanaf 1 april 2016 tot vandaag - kan je ook downloaden als GIS-bestand op https://geo.onroerenderfgoed.be/downloads.)

1. De resultaten van de inhoudelijke screening (periodisering, materiaalcategorieën, ...) van deze documenten:

eindverslagen_notas_2016_2021_screening.csv (comma-separated values)

eindverslagen_notas_2016_2021_screening.xlsx (Microsoft Excel Open XML Spreadsheet)

eindverslagen_notas_2016_2021_screening.shp (ESRI shapefile)

The dataset titled "Wellbeing Toronto - Youth Services" is a comprehensive collection of information related to youth services available in the City of Toronto. It is categorized under the domains of Community services, Health, and Public safety. The dataset, published on 23rd July 2019, is owned by the Social Development, Finance & Administration department of the City of Toronto Open Data organization. The dataset is available in the formats of an Excel spreadsheet and ESRI shapefiles. The dataset is tagged with keywords such as housing, education, employment, refugee, youth service, and more, indicating the wide range of topics it covers. The dataset provides a detailed description of the various categories of youth services, including disability support, educational institutions, employment, financial services, housing help, legal support, and more. It also includes resources for LGBTQ youth, recreation for youth, newcomer services, and mental health services, among others. The dataset is licensed under the Open Government Licence – Toronto. The resources available in the dataset include 'wellbeing-toronto-youth-services-data-excel', 'wellbeing-toronto-youth-services-shapefile-wgs84', and 'wellbeing-toronto-youth-services-readme'. The metadata for this dataset was created on 4th October 2024 and was last modified on 18th March 2025.

1990 City of New Orleans/Orleans Parish Census data. ESRI shapefile format, GIS software required for viewing geometry (http://www.esri.com/software/arcgis/arcreader/). Tabular data (DBF), included as part of the shapefile, are viewable in Excel.

This dataset includes all cases reviewed by the Planning Department. Many cases are related to Building Permits. A Building Permit may produce a number of cases with the Planning Department, for example a single Building Permit may require a Transportation Study case and an Environmental Review case. Some cases are not related to Building Permits, e.g Variances or Conditional Use Authorizations. The type of case can be seen in the CaseType_Desc field. Additional information can be found in the dataset's metadata (the .xml file within the .zip). It is important to note that older cases (prior to 1 January 1999) were not consistently recorded in this database. Should you wish to analyze trends within this data it is advisable to remove these older cases (those where the entry in the 'FileDate' field is older than 1 Jan, 1999). This dataset is in a GIS Shapefile format. This format can be read and mapped by most Geographical Information Systems. The .DBF file can be loaded into MS Access, Excel or other database/spreadsheet programs. Data is updated every night.

Rock-Eval 6 pyrolysis and total organic carbon (TOC) analyses were performed on 144 samples collected from outcrop in the northern Mackenzie and eastern Richardson mountains, at the margin of Peel Plateau, as well as from Peel Plain (Figure 1). These samples were collected to evaluate the source rock potential and thermal maturation of specific formations ranging from Proterozoic to Cretaceous. The new data will augment previously reported data from well cuttings and outcrops (reported in Pyle et al., 2006a; 2006b). The data are reported in a Microsoft ® Excel spreadsheet, as well as a shapefile (in ESRI’s ArcView® .shp format) to enable their integration into existing data sets or mapping programs.