Data from various sources, including 2018 and 2019 multibeam bathymetry data collected by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS) were combined to create a composite 30-m resolution multibeam bathymetry surface of central Cascadia Margin offshore Oregon. These metadata describe the polygon shapefile that outlines and identifies each publicly available bathymetric dataset. The data are available as a polygon shapefile.

Context

When I started exploring how to create interactive maps (using the leaflet() package in R) I come across this free data set (shapefile format) that contains the geographical coordinates (polygons) for all the countries in the world. I thought it would be nice to share this with the Kaggle community.

Content

The .zip folder contains all the necessary files needed for the shapefile data to work properly on your computer. If you are new to using the shapefile format, please see the information provided below:

https://en.wikipedia.org/wiki/Shapefile "The shapefile format stores the data as primitive geometric shapes like points, lines, and polygons. These shapes, together with data attributes that are linked to each shape, create the representation of the geographic data. The term "shapefile" is quite common, but the format consists of a collection of files with a common filename prefix, stored in the same directory. The three mandatory files have filename extensions .shp, .shx, and .dbf. The actual shapefile relates specifically to the .shp file, but alone is incomplete for distribution as the other supporting files are required. "

Acknowledgements

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.

This polygon shapefile describes the data sources used to create a composite 30-m resolution multibeam bathymetry surface of southern Cascadia Margin offshore Oregon and northern California.

This shapefile contains drains that are maintained by Eaton County, Michigan Drains Office. This dataset has been in a state of non-maintenance for many years and has known issues with completeness and accuracy. The dataset was created by the Eaton County Drains Office circa 2008. The features in this shapefile estimate the rough location of the centerline of the drain right-of-way as legally described.

This file contains European countries in a shapefile format that can be used in python, R or matlab. The file has been created by Drin Marmullaku based on GADM version 4.1 (https://gadm.org/) and distributed according to their license (https://gadm.org/license.html).

Please cite as: Sevdari, Kristian; Marmullaku, Drin (2023). Shapefile of European countries. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.23686383 This dataset is distributed under a CCBY-NC-SA 4.0 license

Using the data to create maps for publishing of academic research articles is allowed. Thus you can use the maps you made with GADM data for figures in articles published by PLoS, Springer Nature, Elsevier, MDPI, etc. You are allowed (but not required) to publish these articles (and the maps they contain) under an open license such as CC-BY as is the case with PLoS journals and may be the case with other open access articles. Data for the following countries is covered by a a different license Austria: Creative Commons Attribution-ShareAlike 2.0 (source: Government of Austria)

Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_112, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no contentShow full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL_112, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2014) Cartographic masks for map products GAL112. Bioregional Assessment Source Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/3ac3fc27-aaaa-4fab-bab7-8aabb2ddabee.

The Residential Schools Locations Dataset in shapefile format contains the locations (latitude and longitude) of Residential Schools and student hostels operated by the federal government in Canada. All the residential schools and hostels that are listed in the Indian Residential School Settlement Agreement are included in this data set, as well as several Industrial schools and residential schools that were not part of the IRRSA. This version of the dataset doesn’t include the five schools under the Newfoundland and Labrador Residential Schools Settlement Agreement. The original school location data was created by the Truth and Reconciliation Commission, and was provided to the researcher (Rosa Orlandini) by the National Centre for Truth and Reconciliation in April 2017. The data set was created by Rosa Orlandini, and builds upon and enhances the previous work of the Truth and Reconcilation Commission, Morgan Hite (creator of the Atlas of Indian Residential Schools in Canada that was produced for the Tk'emlups First Nation and Justice for Day Scholar's Initiative, and Stephanie Pyne (project lead for the Residential Schools Interactive Map). Each individual school location in this dataset is attributed either to RSIM, Morgan Hite, NCTR or Rosa Orlandini. Many schools/hostels had several locations throughout the history of the institution. If the school/hostel moved from its’ original location to another property, then the school is considered to have two unique locations in this data set,the original location and the new location. For example, Lejac Indian Residential School had two locations while it was operating, Stuart Lake and Fraser Lake. If a new school building was constructed on the same property as the original school building, it isn't considered to be a new location, as is the case of Girouard Indian Residential School. When the precise location is known, the coordinates of the main building are provided, and when the precise location of the building isn’t known, an approximate location is provided. For each residential school institution location, the following information is provided: official names, alternative name, dates of operation, religious affiliation, latitude and longitude coordinates, community location, Indigenous community name, contributor (of the location coordinates), school/institution photo (when available), location point precision, type of school (hostel or residential school) and list of references used to determine the location of the main buildings or sites. The geographic coordinate system for this dataset is WGS 1984. The data in shapefile format [IRS_locations.zip] can be viewed and mapped in a Geographic Information System software. Detailed metadata in xml format is available as part of the data in shapefile format. In addition, the field name descriptions (IRS_locfields.csv) and the detailed locations descriptions (IRS_locdescription.csv) should be used alongside the data in shapefile format.

Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.1.7. The processes undertaken to produce this dataset are described in the History field in this metadata statement. This layer has been …Show full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.1.7. The processes undertaken to produce this dataset are described in the History field in this metadata statement. This layer has been superseded by Cartographic masks for map products GIP 120 v02 Purpose Cartographic masks for map products GIP_120, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2014) Cartographic masks for map products GIP 120. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/0abc7b84-84be-4d50-9e1f-433747534646.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

These shapefiles are used to create the maps in NAM2.6.2. They are mostly derived from the input files for the groundwater model. The shape files infclude:

ag_extraction: These are points that represent the location of groundwater bores used for agricultural extraction.

boundaries: These are line shape files used for defining the location and extent of lateral boundary conditions of different stratigraphic layers of the groundwater model

coal extraction: These are polygon shape files providing the areal extent of the baseline and ACRD coal mines in the Namoi subregion that are including in the groundwater model.

grid: Polygon shape file representing the mesh of the groundwater model. It also include points that represent the midpoints of each model cell and the suset that represents the model nodes that outcrop.

obs: Shape file of observation bores, the data from which is used for constraining the groundwater model.

River: Set of shape files containing the AWRA catchments, AWRA-R nodes, network of rivers and creeks classified into important reaches and non important reaches based on the distance form the CRDP areas, extent of flood and irrigation recharge

Purpose

The purpose of this dataset is to create pretty pictures. The actual model inputs files are archived separately.

These shapefiles are used along with the software ALGOMESH to generate inputs for the models including model initial and boundary conditions.

Thease are also used to generate maps in the product 2.6.2

Dataset History

Some of the components of this dataset are source data. These include the locations of groundwater and observation bores, river and creek network.

Other components are derived:

The groundwater model mesh and model cell centres are generated in the ALGOMESH software and exported as shape file.

The coal mine extents are derived from digitized mine footprints.

Dataset Citation

Bioregional Assessment Programme (2016) Namoi groundwater model input shapefiles. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/fb22671f-8b47-48e2-9fcd-232543fb8ad6.

Dataset Ancestors

• Derived From Murray-Darling Basin floodplain inundation 1 in 100 year extent

• Derived From Bioregional_Assessment_Programme_Catchment-scale Land Use Management (CLUM)

• Derived From NSW Office of Water - National Groundwater Information System 20141101v02

• Derived From Namoi groundwater observation bores

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From GEODATA TOPO 250K Series 3

• Derived From Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013

The Office of the Geographer’s Global Large Scale International Boundary Detailed Polygons file combines two datasets, the Office of the Geographer’s Large Scale International Boundary Lines and NGA shoreline data. The LSIB is believed to be the most accurate worldwide (non- W. Europe) international boundary vector line file available. The lines reflect U.S. government (USG) policy and thus not necessarily de facto control. The 1:250,000 scale World Vector Shoreline (WVS) coastline data was used in places and is generally shifted by several hundred meters to over a km. There are no restrictions on use of this public domain data. The Tesla Government PiX team performed topology checks and other GIS processing while merging data sets, created more accurate island shoreline in numerous cases, and worked closely with the US Dept. of State Office of the Geographer on quality control checks.

Methodology: Tesla Government’s Protected Internet Exchange (PiX) GIS team converted the LSIB linework and the island data provided by the State Department to polygons. The LSIB Admin 0 world polygons (Admin 0 polygons) were created by conflating the following datasets: Eurasia_Oceania_LSIB7a_gen_polygons, Africa_Americas_LSIB7a_gen_polygons, Africa_Americas_LSIB7a, Eurasia_LSIB7a, additional updates from LSIB8, WVS shoreline data, and other shoreline data from United States Government (USG) sources. The two simplified polygon shapefiles were merged, dissolved, and converted to lines to create a single global coastline dataset. The two detailed line shapefiles (Eurasia_LSIB7a and Africa_Americas_LSIB7a) were merged with each other and the coastlines to create an international boundary shapefile with coastlines. The dataset was reviewed for the following topological errors: must not self overlap, must not overlap, and must not have dangles. Once all topological errors were fixed, the lines were converted to polygons. Attribution was assigned by exploding the simplified polygons into multipart features, converting to centroids, and spatially joining with the newly created dataset. The polygons were then dissolved by country name. Another round of QC was performed on the dataset through the data reviewer tool to ensure that the conversion worked correctly. Additional errors identified during this process consisted of islands shifted from their true locations and not representing their true shape; these were adjusted using high resolution imagery whereupon a second round of QC was applied with SRTM digital elevation model data downloaded from USGS. The same procedure was performed for every individual island contained in the islands from other USG sources.
After the island dataset went through another round of QC, it was then merged with the Admin 0 polygon shapefile to form a comprehensive world dataset. The entire dataset was then evaluated, including for proper attribution for all of the islands, by the Office of the Geographer.

Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL2623, used for clearing annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no …Show full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL2623, used for clearing annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2016) Cartographic mask for map product GAL2623. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/62db647f-07e2-459c-a096-848edbea4ee4.

This city boundary shapefile was extracted from Esri Data and Maps for ArcGIS 2014 - U.S. Populated Place Areas. This shapefile can be joined to 500 Cities city-level Data (GIS Friendly Format) in a geographic information system (GIS) to make city-level maps.

Abstract

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.1.3. The processes undertaken to produce this dataset are described in the History field in this metadata statement.

Purpose

Cartographic masks for map products GIP 113, used for clear annotation and masking unwanted features from report maps.

Dataset History

A shapefile was created for the use of masking data to highlight text.

Method:

* A new polygon shapefile was created with no content

* The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text.

* ArcMAP's Advanced Drawing Option was then used to mask data behind text.

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic masks for map products GIP 113. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/9478003a-80bd-4616-8519-0e4bea420ec8.

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL group 2 products, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created …Show full descriptionAbstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. Cartographic masks for map products GAL group 2 products, used for clear annotation and masking unwanted features from report maps. Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. Dataset Citation Bioregional Assessment Programme (2015) Cartographic masks for water level trend map products GAL213. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/c714da92-0434-423d-85d0-f48242825fb9.

Abstract

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.1.2. The processes undertaken to produce this dataset are described in the History field in this metadata statement.

Purpose

Cartographic masks for map products GIP 112, used for clear annotation and masking unwanted features from report maps.

Dataset History

A shapefile was created for the use of masking data to highlight text.

Method:

* A new polygon shapefile was created with no content

* The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text.

* ArcMAP's Advanced Drawing Option was then used to mask data behind text.

Dataset Citation

Bioregional Assessment Programme (2015) Cartographic masks for map products GIP 112. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/e7ac3222-2a38-4764-a6b5-453eefdd53cf.

Abstract

This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme.

Cartographic masks for map products GAL_120, used for clear annotation and masking unwanted features from report maps.

Dataset History

A shapefile was created for the use of masking data to highlight text.

Method:

* A new polygon shapefile was created with no content

* The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text.

* ArcMAP's Advanced Drawing Option was then used to mask data behind text.

Dataset Citation

Bioregional Assessment Programme (2014) Cartographic masks for map products GAL120. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/77b92796-9501-4829-9b41-598dd455ca93.

Abstract This dataset was created within the Bioregional Assessment Programme for cartographic purposes. Data has not been derived from any source datasets. Metadata has been compiled by the Bioregional Assessment Programme. The dataset was created by the Bioregional Assessment Programme for use in cartographic outputs in Gippsland Basin bioregion product 1.1.7. The processes undertaken to produce this dataset are described in the History field in this metadata statement. ## Purpose Cartographic masks for map products GIP 117, used for clear annotation and masking unwanted features from report maps. ## Dataset History A shapefile was created for the use of masking data to highlight text. Method: * A new polygon shapefile was created with no content * The shapefile was then populated in an ArcMap editing session by digitizing polygons which surround text. * ArcMAP's Advanced Drawing Option was then used to mask data behind text. ## Dataset Citation Bioregional Assessment Programme (2015) Cartographic masks for map products GIP 117. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/1dd62e71-8324-4e9d-ad3b-61fe617ce1e6.

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This shapefile shows the extent of the Grafton-Rapville bedrock in the CLM bioregion.

Dataset History

The shapefile is derived from a preliminary geological map provided by the NSW Geological Survey that shows the extent of this formation in NSW (see lineage). This polygon shapefile has been created from a preliminary datasets provided by the NSW Geological Survey. The original shapefile consisted of multiple polygons that have been separated for example where alluvia overlie this bedrock unit. This polygons have been dissolved to create a single shapefile that shows the extent of the unit at the surface and in the subsurface.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Grafton-Rapville bedrock. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/1c217d86-ba4e-480b-8786-2ab083c2495f.

Dataset Ancestors

• Derived From Qld 100K mapsheets - Allora

• Derived From Qld 100K mapsheets - Jandowae

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From Qld 100k mapsheets - Warwick

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From Qld 100K mapsheets - Ipswich

• Derived From NSW Geological Survey - geological units DRAFT line work.

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From Qld 100K mapsheets - Esk

• Derived From Qld 100k mapsheets - Murwillumbah

• Derived From Qld 100K mapsheets - Helidon

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From Qld 100k mapsheets - Kingaroy

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

This shapefile shows the extent of the Grafton-Piora bedrock in the CLM bioregion.

Dataset History

The shapefile is based on the digital 1:250000 surface geological map (see lineage) obtained from the Clarence-Moreton SEEBASE project in NSW. This polygon shapefile has been created from a preliminary dataset provided by the NSW Geological Survey. The original shapefile consisted of multiple polygons that have been separated for example where alluvia overlie this bedrock unit. The polygons have been dissolved to create a single shapefile that shows the extent of the unit at the surface and in the subsurface.

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Grafton-Piora bedrock. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/59addbea-b8a5-4409-9c36-da260efe81f1.

Dataset Ancestors

• Derived From Qld 100K mapsheets - Allora

• Derived From CLM - Geology NSW & Qld combined v02

• Derived From Qld 100k mapsheets - Warwick

• Derived From CLM - Qld Surface Geology Mapsheets

• Derived From Qld 100k mapsheets - Beenleigh

• Derived From Qld 100K mapsheets - Caboolture

• Derived From Qld 100K mapsheets - Ipswich

• Derived From Qld 100K mapsheets - Mount Lindsay

• Derived From Qld 100K mapsheets - Esk

• Derived From Qld 100K mapsheets - Toowoomba

• Derived From Clarence-Moreton SEEBASE & Structural GIS Project data.

• Derived From Qld 100K mapsheets - Helidon

• Derived From CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion

• Derived From Qld 100K mapsheets - Jandowae

• Derived From NSW Geological Survey - geological units DRAFT line work.

• Derived From Qld 100K mapsheets - Inglewood

• Derived From Qld 100K mapsheets - Oakey

• Derived From Qld 100k mapsheets - Murwillumbah

• Derived From Qld 100k mapsheets - Kingaroy