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.

Rail network in Glasgow showing the rail stations and rail lines. To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed. Data extracted 2013-01-10T13:48:15 Contains Ordnance Survey data (c) Crown Copyright 2013. Licence: None rail-station.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/427258c9-6d38-4d1e-bc4e-246cdc02fd83/Dataset/b84dea58-4776-4bcd-93c5-650df256e609/File/50e8d50a-2a6d-42e1-9b1a-139ba1423d38/Version/45005081-779b-424d-a761-434577379f0f railway-line.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/427258c9-6d38-4d1e-bc4e-246cdc02fd83/Dataset/b84dea58-4776-4bcd-93c5-650df256e609/File/b7a3e7b6-bd3e-4829-988d-f3c0ef41fb2c/Version/a8436afe-4c7e-4867-b3aa-33ccba6857f4

The PALEOMAP project produces paleogreographic maps illustrating the Earth's plate tectonic, paleogeographic, climatic, oceanographic and biogeographic development from the Precambrian to the Modern World and beyond.

A series of digital data sets has been produced consisting of plate tectonic data, climatically sensitive lithofacies, and biogeographic data. Software has been devloped to plot maps using the PALEOMAP plate tectonic model and digital geographic data sets: PGIS/Mac, Plate Tracker for Windows 95, Paleocontinental Mapper and Editor (PCME), Earth System History GIS (ESH-GIS), PaleoGIS(uses ArcView), and PALEOMAPPER.

Teaching materials for educators including atlases, slide sets, VHS animations, JPEG images and CD-ROM digital images.

Some PALEOMAP products include: Plate Tectonic Computer Animation (VHS) illustrating motions of the continents during the last 850 million years.

Paleogeographic Atlas consisting of 20 full color paleogeographic maps. (Scotese, 1997).

Paleogeographic Atlas Slide Set (35mm)

Paleogeographic Digital Images (JPEG, PC/Mac diskettes)

Paleogeographic Digital Image Archive (EPS, PC/Mac Zip disk) consists of the complete digital archive of original digital graphic files used to produce plate tectonic and paleographic maps for the Paleographic Atlas.

GIS software such as PaleoGIS and ESH-GIS.

globe (global oceanographic bathymetry explorer) is an innovative application for processing and displaying oceanographic data. globe offers processing and display solutions of multi-sensor data within a single 3d environment represented as a globe.currently the software is mainly used for processing, analysing and displaying acoustic data, as well as moving tectonic plates.developed in java, globe is a multiplatform application (windows, linux, mac for placa) whose architecture allows users to develop and add with ease new modules for processing and visualizing data.more detailled description and installation procedure can be found on ifremer's fleet site https://www.flotteoceanographique.frglobe source code is available on ifremer's gitlab repository https://gitlab.ifremer.fr/fleet/globe

Road Network in Glasgow categorized by type (A Roads, B Roads, Minor Roads and Motorway and Motorway junctions). To view or use these files, a compression software and GIS software like ESRI ArcGIS or QGIS is needed. Data extracted 2013-09-26T16:01:58 Contains Ordnance Survey data (c) Crown Copyright 2013. Licence: None

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes:Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM

description: This DVD-ROM contains digital high resolution seismic reflection data collected during the USGS DIAN 97032 cruise. The coverage is the nearshore of Long Island, NY in the vicinity of Fire Island. The seismic-reflection data are stored as SEG-Y standard format that can be read and manipulated by most seismic-processing software. Much of the information specific to the data are contained in the headers of the SEG-Y format files. The file system format is ISO 9660 which can be read with DOS, Unix, and MAC operating systems with the appropriate DVD-ROM driver software installed.; abstract: This DVD-ROM contains digital high resolution seismic reflection data collected during the USGS DIAN 97032 cruise. The coverage is the nearshore of Long Island, NY in the vicinity of Fire Island. The seismic-reflection data are stored as SEG-Y standard format that can be read and manipulated by most seismic-processing software. Much of the information specific to the data are contained in the headers of the SEG-Y format files. The file system format is ISO 9660 which can be read with DOS, Unix, and MAC operating systems with the appropriate DVD-ROM driver software installed.

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes: Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes:Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes:Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes:Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM

A aplicação dos Sistemas de Informação Geográfica (SIG) ao nível da saúde tem aumentado muito nos últimos anos, permitindo uma melhor apresentação e visualização dos dados e consequentemente uma melhoria na divulgação, na comunicação, na análise e no suporte para a tomada de decisão. Os SIG têm sido usados em pesquisas recentes sobre queimaduras para identificar áreas de risco pois, as lesões por queimadura estão associadas a um risco significativo de mortalidade, bem como as sequelas físicas, funcionais e psiquiátricas significativas em sobreviventes e a elevados custos económicos para o serviço de saúde. Neste estudo utiliza-se os SIG no processo de visualização espacial das características dos queimados internados da Área Metropolitana do Porto (AMP), por freguesia, no período de 2000 a 2013. Tem-se como objetivo a elaboração de um modelo preditivo para a incidência de queimaduras na população dessa área com maior risco, recorrendo às técnicas de análise estatística espacial e de análise multicritério com o fim, de construir o mapa de vulnerabilidade à ocorrência de queimados. Para um melhor conhecimento da área de estudo procedeu-se, inicialmente, à caracterização da AMP, assim como à análise de algumas características socioeconómicas para procurar avaliar as suas possíveis relações com a ocorrência de queimados. Os aspetos sociodemográficos e económicos da população residente, como a estrutura social das famílias, as condições de habitabilidade e o nível educacional poderão relacionar-se com os incidentes de queimaduras. Logo, através da modelação espacial de algumas variáveis procurou-se identificar o grau de relacionamento que estas tinham com os casos de queimaduras, nas diferentes freguesias da AMP. As variáveis socioeconómicas estudadas foram nomeadamente, a população residente, a densidade populacional, a população desempregada, a população ativa, a população sem nenhum nível de escolaridade, a população com o 1º ciclo básico completo, o edificado com necessidade de reparação, o edificado muito degradado e os indivíduos por alojamento familiar clássico de residência habitual. Construíram-se mapas com estas variáveis tendo em vista analisar a sua distribuição espacial pelas várias freguesias da área metropolitana e relacionar com a distribuição geográfica do número de queimados. Com a utilização do software estatística SPSS como suporte, procedeu-se à aplicação do coeficiente de correlação linear de Pearson às variáveis para ver o sentido e o grau das relações com os queimados. Seguidamente, para caracterizar a relação de correlação obtida, procurou-se descrevê-la através da equação da regressão linear múltipla. Para conseguir um bom modelo de regressão procedeu-se à filtragem de algumas variáveis socioeconómicas. De seguida, empregou-se os recursos de análises de estatística espacial disponíveis no software ArcGis 10.4.1 para correr novamente o modelo de regressão (agora modelo OLS) com as variáveis socioeconómicas já selecionadas como preditores preferenciais do número de queimados anteriormente, na aplicação da RLM no SPSS. As variáveis selecionadas foram o edificado muito degradado, os indivíduos sem nenhum ensino e a densidade populacional. Para depois, espacializar e visualizar os dados nos mapas e visualizar a autocorrelação espacial (índice I de Moran) e o modelo de Regressão Ponderada Geograficamente (GWR) com o intuito de obter a distribuição espacial das taxas de queimados de forma a identificar as áreas de maior risco de ocorrência de queimados. Depois da análise estatística espacial, procedeu-se à utilização do método de análise multicritério combinando os dados dos queimados e das variáveis socioeconómicas. O processo metodológico é desenvolvido através do software ArcGis 10.4.1., que permite combinar os fatores que contribuem para a morbilidade devido a queimaduras, com as variáveis socioeconómicas. No final, efetuou-se uma avaliação, análise e modelação que permite identificar a importância do fenómeno na AMP. Os resultados desta pesquisa preenchem um vazio no campo da saúde pois, existem poucas pesquisas realizadas que abordem os padrões espaciais dos queimados em Portugal até ao momento. O número de queimados internados na AMP nesse período é elevado, com 3949 casos, com uma incidência de 22,4 por 10.000 habitantes. Esta investigação pretende ser um contributo para um melhor entendimento das variações do número de casos de queimaduras em termos espaciais, mais concretamente nas freguesias da AMP, desde 2000 a 2013, inclusive. Interessa precisar os fatores hipoteticamente explicativos no desencadeamento desses incidentes, tendo em vista planear e desenvolver estratégias e medidas de prevenção dos acidentes causadores de queimaduras, e para a organização de ações e serviços de prevenção. Sendo assim, esta pesquisa pretende também contribuir para a reflexão das condições e da qualidade de vida da população residente nas freguesias da AMP. Este estudo reforça a ideia de que as mudanças nos padrões espaciais do número de queimados na AMP não estão apenas associadas às condições demográficas, mas também estão muito relacionadas com as características sociais e económicas das famílias, nomeadamente as condições de habitabilidade. Esse facto é muito importante para os formuladores de políticas quando querem projetar programas públicos para subsidiar habitações para famílias com baixo rendimento, a fim de melhorar as suas condições de vida. As políticas devem dar prioridade à elaboração de um plano de prevenção para diminuir o número de queimados nas freguesias onde o risco de lesões por queimaduras é mais alto, considerando os impactos dos fatores espaciais analisados. Será neste âmbito mais eficaz partilhar estratégias e ações preventivas junto das comunidades. Na AMP, é muito importante melhorar as medidas preventivas e desenvolver estratégias especificas de cuidados de saúde para as crianças com lesões de queimaduras, tendo em conta o elevado número de crianças internadas da AMP, desde o ano 2000 a 2013. Neste estudo encontrou-se uma associação significativa de fatores socioeconómicos previamente conhecidos como influentes das queimaduras na população, com estimativas de áreas pequenas de risco de queimaduras na AMP. Esses fatores de risco podem ser mais relevantes em crianças do que em adultos. O contexto socioeconómico deveria ser alvo de uma exploração mais ampla incluindo outras variáveis.

The Wildlife Connectivity Map has been created using Omniscape.jl:Landau, V.A., V.B. Shah, R. Anantharaman, and K.R. Hall. 2021. Omniscape.jl: Software to compute omnidirectional landscape connectivity. Journal of Open Source Software, 6(57), 2829.McRae, B. H., K. Popper, A. Jones, M. Schindel, S. Buttrick, K. R. Hall, R. S. Unnasch, and J. Platt. 2016. Conserving Nature’s Stage: Mapping Omnidirectional Connectivity for Resilient Terrestrial Landscapes in the Pacific Northwest. The Nature Conservancy, Portland, Oregon.Input data into the model includes: Habitat Land Cover Map of Scotland 2022: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ Maps and data created by Space Intelligence with input and support from NatureScot , © SNHOS OpenRoads: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Open Rivers: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/OS Terrain 50: Available under the Open Government Licence v3.0 https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Resistance and habitat values have chosen using expert Ecologists within AECOM