The Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sahi_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 map file (.mapx) file (sahi_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sahi_geology.mxd) and individual 10.1 layer (.lyr) 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 10.1 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 GIS readme file (sahi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sahi_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 (sahi_geology_metadata_faq.pdf). Please read the sahi_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: 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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sahi_geology_metadata.txt or sahi_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 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 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, 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).

The Modern Antique Map (WGS84) (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique (WGS84) vector tile layer and World Hillshade (WGS84) raster tile layer.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps WGS84 are updated quarterly.Check out other WGS84 basemaps in the World Basemaps (WGS84) group. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layers referenced in this map.Precise Tile Registration The map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

The Modern Antique Map (World Edition) web map provides a world basemap symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This basemap, included in the ArcGIS Living Atlas of the World, uses the Modern Antique vector tile layer and World Hillshade.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This web map is a subset of Modern Antique MapThis web map provides a customized vector layer for the world symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. This web map is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

This vector tile layer presents the Modern Antique style (World Edition) and provides a detailed basemap for the world, symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Modern Antique Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

The folder contains 3 shapefiles usable in GIS (geographic information system). These data result from the processing of the french map of devastated regions ("carte des régions dévastées"). The map was edited in 1920 by the geographic service of French army. The objective was to classify lands depending on the intensity of destruction, and to locate areas where substantial restoration work was necessary. The 47 map sheets of the collection at scale 1:50,000 have been scanned and can be obtained from the National Geographic Institute (IGN) in .jpg format. The map shows large red-colored zones representing heavily damaged front-line area by trenches and bombing according to the map legend. There are also red-hatched features locating destroyed cities, roads and destroyed or cut forests. The blue-colored symbols show new constructions, such as memorials and cemeteries. For the methodology of georeferencing, classification and vectorization, see Nelly Paradelle, Marianne Laslier, Guillaume DeCocq, "Automatic extraction of former WWI battlefields from ancient maps," Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270H (17 October 2023); https://doi.org/10.1117/12.2684009

-MANUAL_ENVELOPE.shp : This dataset contains the envelope bordering the local destructions from the dataset "RED POLYGONS", and drawn manually within QGIS.

-RED_POLYGONS.shp : This dataset contains only polygons of local destructions (cities, roads, buildings, destroyed or cut forests etc.) extracted from the map of devastated regions

-RED_ZONE.shp : This dataset contains only polygons of the large red-colored areas representing heavily damaged front-line area by trenches and bombing extracted from the map of devastated regions

Files with extension .qmd provide metadata.

Updated Boundaries of Ancient Woodland polygons covering England. This is the updated spatial dataset that describes the geographic extent and location of ancient woodland habitat in England (excluding the Isles of Scilly). Ancient Woodland features will be approved county-by-county for publication throughout the first year of production until the data product coverage extends across England.

This is the updated spatial dataset that describes the geographic extent and location of ancient woodland habitat in England (excluding the Isles of Scilly). Ancient woodland is land that has had a continuous woodland cover since at least 1600 AD. It includes Ancient Semi-Natural Woodland (ASNW), which retains a native tree and shrub cover, Plantation on Ancient Woodland Sites (PAWS) where the original tree cover has been felled and replaced by planting, often with conifers, or Ancient Wood Pasture (AWP) where the trees are managed in tandem with a long established tradition of grazing, characteristically with at least some veteran trees or shrubs. The Update Project is being submitted on a county by county basis, the final figures will be updated once each county is submitted.

Already published this is the update of this dataset, but it is uploaded as a new layer due to new designations. Ancient woodland is an irreplaceable resource of immense biodiversity and cultural importance. The AWI Update project will deliver an accurate inventory of the entirety of England’s ancient woodland resource, including those woods smaller than 2ha which are currently not mapped on the AWI. It will also ensure that the AWI is used and respected by planners, developers, land managers and all those who make and use spatial plans in England’s countryside.

The ancient woodland boundaries are digitised to OS MasterMap - assessed by licencing staff as suitable for OS Presumption to Publish process. However, the maps that Ancient Woodlands are based upon include the OS 1” First Edition maps, the OS 1:25 000 and the OS 1:50 000 maps. The boundaries cannot be taken as precise, especially where they are surrounded by woodland, and are only precisely comparable with other boundaries at the 1” map scale (1:63 360). The inventory identifies over 22,000 ancient woodland sites in England. Ancient woodland is identified using presence or absence of woods from old maps, information about the wood's name, shape, internal boundaries, location relative to other features, ground survey, and aerial photography. The information recorded about each wood and stored on the Inventory Database includes its grid reference, its area in hectares and how much is semi-natural or replanted. Prior to the digitisation of the boundaries, only paper maps depicting each ancient wood at 1:50 000 scale were available. The datasets consulted: OS MasterMap, OS First Edition Maps (Historic County Series Maps Epoch 1-4), Historic OS Drawings, Aerial Imagery, Original AWI Datasheets, Open Source old historical maps (varies depending on county agreements), BSBI Indicator species data, County Tithe Maps, Forestry Commission National Forest Inventory and Forest Condition Survey. Besides the isolated and modified woodland boundaries derived from OS MasterMap that have been identified Ancient Woodland, additional third party data is viewed for informative purposes only during the creation of the project layer. No data from any other of these third party sources is copied, transferred or viewable in the layer to be published. Attribution statement: © Natural England copyright and/or database right 2023. All rights reserved.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

This web map provides a customized vector layer for the world symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. This map is focused on Africa, with a mask layer in the basemap.This web map is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of California's regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protection's CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

In response to a 1980 select committee which recommended that ancient woods should be recognised and treated as a separate category, the NCCs compiled the Inventories of Ancient, Long-established and Semi-natural woodlands. A more sophisticated classification was developed for woodlands in Scotland due to the nature of the available historical sources. IMPORTANT For Scottish woods, the category Ancient comprises woods recorded as being of semi-natural origin on EITHER the 1750 Roy maps OR the 1st Edition Ordnance Survey maps of 1860. This is due a) to the likelihood of the latter having been omitted from the Roy maps and b) to render the Scottish classification compatible with that for England and Wales.

In this repository, we release a series of vector space models of Ancient Greek, trained following different architectures and with different hyperparameter values.

Below is a breakdown of all the models released, with an indication of the training method and hyperparameters. The models are split into ‘Diachronica’ and ‘ALP’ models, according to the published paper they are associated with.

[Diachronica:] Stopponi, Silvia, Nilo Pedrazzini, Saskia Peels-Matthey, Barbara McGillivray & Malvina Nissim. Forthcoming. Natural Language Processing for Ancient Greek: Design, Advantages, and Challenges of Language Models, Diachronica.

[ALP:] Stopponi, Silvia, Nilo Pedrazzini, Saskia Peels-Matthey, Barbara McGillivray & Malvina Nissim. 2023. Evaluation of Distributional Semantic Models of Ancient Greek: Preliminary Results and a Road Map for Future Work. Proceedings of the Ancient Language Processing Workshop associated with the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023). 49-58. Association for Computational Linguistics (ACL). https://doi.org/10.26615/978-954-452-087-8.2023_006

Diachronica models

Training data

Diorisis corpus (Vatri & McGillivray 2018). Separate models were trained for:

Classical subcorpus

Hellenistic subcorpus

Whole corpus

Models are named according to the (sub)corpus they are trained on (i.e. hel_ or hellenestic is appended to the name of the models trained on the Hellenestic subcorpus, clas_ or classical for the Classical subcorpus, full_ for the whole corpus).

Models

Count-based

Software used: LSCDetection (Kaiser et al. 2021; https://github.com/Garrafao/LSCDetection)

a. With Positive Pointwise Mutual Information applied (folder PPMI spaces). For each model, a version trained on each subcorpus after removing stopwords is also included (_stopfilt is appended to the model names). Hyperparameter values: window=5, k=1, alpha=0.75.

b. With both Positive Pointwise Mutual Information and dimensionality reduction with Singular Value Decomposition applied (folder PPMI+SVD spaces). For each model, a version trained on each subcorpus after removing stopwords is also included (_stopfilt is appended to the model names). Hyperparameter values: window=5, dimensions=300, gamma=0.0.

Word2Vec

Software used: CADE (Bianchi et al. 2020; https://github.com/vinid/cade).

a. Continuous-bag-of-words (CBOW). Hyperparameter values: size=30, siter=5, diter=5, workers=4, sg=0, ns=20.

b. Skipgram with Negative Sampling (SGNS). Hyperparameter values: size=30, siter=5, diter=5, workers=4, sg=1, ns=20.

Syntactic word embeddings

Syntactic word embeddings were also trained on the Ancient Greek subcorpus of the PROIEL treebank (Haug & Jøhndal 2008), the Gorman treebank (Gorman 2020), the PapyGreek treebank (Vierros & Henriksson 2021), the Pedalion treebank (Keersmaekers et al. 2019), and the Ancient Greek Dependency Treebank (Bamman & Crane 2011) largely following the SuperGraph method described in Al-Ghezi & Kurimo (2020) and the Node2Vec architecture (Grover & Leskovec 2016) (see https://github.com/npedrazzini/ancientgreek-syntactic-embeddings for more details). Hyperparameter values: window=1, min_count=1.

ALP models

Training data

Archaic, Classical, and Hellenistic portions of the Diorisis corpus (Vatri & McGillivray 2018) merged, stopwords removed according to the list made by Alessandro Vatri, available at https://figshare.com/articles/dataset/Ancient_Greek_stop_words/9724613.

Models

Count-based

Software used: LSCDetection (Kaiser et al. 2021; https://github.com/Garrafao/LSCDetection)

a. With Positive Pointwise Mutual Information applied (folder ppmi_alp). Hyperparameter values: window=5, k=1, alpha=0.75. Stopwords were removed from the training set.

b. With both Positive Pointwise Mutual Information and dimensionality reduction with Singular Value Decomposition applied (folder ppmi_svd_alp). Hyperparameter values: window=5, dimensions=300, gamma=0.0. Stopwords were removed from the training set.

Word2Vec

Software used: Gensim library (Řehůřek and Sojka, 2010)

a. Continuous-bag-of-words (CBOW). Hyperparameter values: size=30, window=5, min_count=5, negative=20, sg=0. Stopwords were removed from the training set.

b. Skipgram with Negative Sampling (SGNS). Hyperparameter values: size=30, window=5, min_count=5, negative=20, sg=1. Stopwords were removed from the training set.

References

Al-Ghezi, Ragheb & Mikko Kurimo. 2020. Graph-based syntactic word embeddings. In Ustalov, Dmitry, Swapna Somasundaran, Alexander Panchenko, Fragkiskos D. Malliaros, Ioana Hulpuș, Peter Jansen & Abhik Jana (eds.), Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs), 72-78.

Bamman, D. & Gregory Crane. 2011. The Ancient Greek and Latin dependency treebanks. In Sporleder, Caroline, Antal van den Bosch & Kalliopi Zervanou (eds.), Language Technology for Cultural Heritage. Selected Papers from the LaTeCH [Language Technology for Cultural Heritage] Workshop Series. Theory and Applications of Natural Language Processing, 79-98. Berlin, Heidelberg: Springer.

Gorman, Vanessa B. 2020. Dependency treebanks of Ancient Greek prose. Journal of Open Humanities Data 6(1).

Grover, Aditya & Jure Leskovec. 2016. Node2vec: scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ‘16), 855-864.

Haug, Dag T. T. & Marius L. Jøhndal. 2008. Creating a parallel treebank of the Old Indo-European Bible translations. In Proceedings of the Second Workshop on Language Technology for Cultural Heritage Data (LaTeCH), 27–34.

Keersmaekers, Alek, Wouter Mercelis, Colin Swaelens & Toon Van Hal. 2019. Creating, enriching and valorizing treebanks of Ancient Greek. In Candito, Marie, Kilian Evang, Stephan Oepen & Djamé Seddah (eds.), Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019), 109-117.

Kaiser, Jens, Sinan Kurtyigit, Serge Kotchourko & Dominik Schlechtweg. 2021. Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.

Schlechtweg, Dominik, Anna Hätty, Marco del Tredici & Sabine Schulte im Walde. 2019. A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 732-746, Florence, Italy. ACL.

Vatri, Alessandro & Barbara McGillivray. 2018. The Diorisis Ancient Greek Corpus: Linguistics and Literature. Research Data Journal for the Humanities and Social Sciences 3, 1, 55-65, Available From: Brill https://doi.org/10.1163/24523666-01000013

Vierros, Marja & Erik Henriksson. 2021. PapyGreek treebanks: a dataset of linguistically annotated Greek documentary papyri. Journal of Open Humanities Data 7.

This web map provides a customized vector layer for the world symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. This web map is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

The historic bathymetry maps were created using simple methods to determine lake depths and were meant for resource management purposes only.

Bathymetry is the measurement of water depth in lakes. From the 1940s to the 1990s, the Ministry of Natural Resources and Forestry produced bathymetry maps for over 11,000 lakes across Ontario.

The data can be used by the general public and GIS specialists for:

climate change modelling fish monitoring and other ecological applications hydrologic cycle modelling recreational fishing maps watershed-based water budgeting

The maps were created using simple methods to determine lake depths. They were meant for resource management purposes only. Little effort was made to identify shoals and other hazards when creating these bathymetric maps.

Since this data was collected, many constructed and naturally occurring events could mean that the depth information is now inaccurate, so these maps should not be used for navigational purposes.

In many cases, these maps still represent the only authoritative source of bathymetry data for lakes in Ontario.

Technical information

These maps are being converted to digital GIS line data which can be found in the Bathymetry Line data class.

The Bathymetry Index data class identifies if GIS vector lines have been created and the location of mapped lakes.

The historic paper maps have been scanned into digital files. We will add new digital files to this dataset if they become available.

The digital files have been grouped and packaged by regions into 13 compressed (zipped) files for bulk download.

Note: package 99 contains scanned maps where the location shown on the map could not be determined.

Product Packages

Historic Bathymetry Maps - Package 1 (ZIP) Historic Bathymetry Maps - Package 2 (ZIP) Historic Bathymetry Maps - Package 3 (ZIP) Historic Bathymetry Maps - Package 4 (ZIP) Historic Bathymetry Maps - Package 5 (ZIP) Historic Bathymetry Maps - Package 6 (ZIP) Historic Bathymetry Maps - Package 7 (ZIP) Historic Bathymetry Maps - Package 8 (ZIP) Historic Bathymetry Maps - Package 9 (ZIP) Historic Bathymetry Maps - Package 10 (ZIP) Historic Bathymetry Maps - Package 11 (ZIP) Historic Bathymetry Maps - Package 12 (ZIP) Historic Bathymetry Maps - Package 13 (ZIP) Historic Bathymetry Maps - Package 99 (ZIP)

Additional Documentation

Bathymetry/Line/Point/Index User Guide (Word) Bathymetry Package Map (Word) Bathymetry Lookup Values (Excel)

Status Completed: Production of the data has been completed

Maintenance and Update Frequency Not planned: There are no plans to update the data

Contact Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

This web map provides a customized vector layer for the world symbolized with a unique antique styled map, with a modern flair -- including the benefit of multi-scale mapping. This map is focused on the Caribbean region, with a mask layer in the basemap.This web map is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

A more sophisticated classification was developed for woodlands in Scotland due to the nature of the available historical sources. IMPORTANT. For Scottish woods, the category Ancient comprises woods recorded as being of semi-natural origin on EITHER the 1750 Roy maps OR the 1st Edition Ordnance Survey maps of 1860. This is due a) to the likelihood of the latter having been omitted from the Roy maps and b) to render the Scottish classification compatible with that for England and Wales.More information at the NatureScot websiteComplete metadata

This dataset accompanies the article "Embodied Emotions in Ancient Neo-Assyrian Texts Revealed by Bodily Mapping of Emotional Semantics" (Lahnakoski & Bennett et al., submitted).

It includes the Neo-Assyrian text corpus that is the basis for the word embeddings, a list of the Akkadian emotion and body words of interest for this study, and the scripts, toolboxes, and data used to generate the heat maps of the body.

There is an additional folder containing the high resolution figures included in the article.

A detailed ReadMe (README.txt) provides an overview of the folders.

Collection of digitised maps over Queensland at various scales 1841–2005, including cadastral maps which show property boundaries, property descriptions and land tenure, and some other related miscellaneous maps. Some are annotated and quality of scans varies. The majority of map series include key maps.

Please note: Detailed instructions on how to access each of the scanned maps can be found on the following page http://www.qld.gov.au/recreation/arts/heritage/museum-of-lands/maps-plans/cadastral/

This dataset comprises of the boundaries of Ancient Woodland sites in Wales. Each site is categorised as either Ancient Semi Natural Woodland (ASNW), Restored Ancient Woodland Site (RAWS), Plantation on Ancient Woodland Site (PAWS) or Ancient Woodland Site of Unknown Category (AWSU). Initially all woods greater than 2 ha shown on the Ordnance Survey (OS) 1:25 000 1st Series maps surveyed between 1880 and 1960 were considered. Evidence as to which of these were ancient was provided by presence on the earlier 19th century OS 1st Edition Maps (surveyed 1805 - 1873; scale 1:63 360). The general presumption was that woodland on 1800s maps was ancient, unless there was other evidence that the wood originated between 1600AD and 1800. Supportive indications of ancient status included the wood's name, its situation in the landscape, and the nature of both the surrounding pattern of enclosure and the pattern of boundaries within the wood. Where available, field survey data such as the presence of indicator species, or other historical maps and documents were also used. In mountainous areas such as Wales the first edition Ordnance Survey 1 inch maps were hard to interpret because the heavy hatching used to indicate steep slopes tended to obscure tree symbols.

The aim of the Native Woodland Survey of Scotland (NWSS) was to undertake a baseline survey of all native woodlands, nearly native woodlands and PAWS sites in Scotland in order to create a woodland map linked to a dataset showing type, extent and condition of those woods.

The objectives were to: 1. Identify the location, type, extent and condition of all native and nearly native woodlands and Plantations on Ancient Woodland Sites (PAWS - as identified from the Ancient Woodland Inventory) in Scotland. 2. Produce a baseline survey map of all native woodland, nearly native woodland and PAWS in Scotland. 3. Collect baseline information to enable future monitoring of the extent and condition of the total Scottish native woodland resource. 4. Provide information to support policy development and the delivery of social, environmental and development forestry.

The following datasets are available on the Scottish Forestry Open Data website: - Native Woodland Survey of Scotland (base map and polygon level attributes) - NWSS Canopy Structures - NWSS Habitat Components - NWSS Herbivore Impact - NWSS Invasives - NWSS Other Traits - NWSS Species Structures

The following describes the layers available from Scottish Forestry and also gives an indication of the nature of the spatial data and the related component non-spatial data. (N.B. Every table contains a SCPTDATA_I field. This is a unique field which is used to link all other component tables). If you wish to carry out complex analysis, particularly involving elements of the components tables, e.g. species selection, you should do so using GIS software.

NWSS Map: This is a straightforward view of the data which describes the type of NWSS polygon based on the following categories: Native woodland: >50% native species in the canopy Nearly-native woodland: >=40% and <=50% native species in the canopy Open land habitat: <20% canopy cover, usually 100% surrounded by woodland and adjoining a native woodland PAWS: A woodland area wholly or partially identified in the Ancient Semi-natural Woodland Inventory as ancient semi-natural but currently not semi-natural.

NWSS Nativeness: Displays the percentage share of native species in the total canopy. This ranges from 0% to 100% in 5% classes.

NWSS Habitat: This view of the data shows the priority woodland type and National Vegetation Classification (NVC) woodland community. Open land habitat is defined by UK Biodiversity Action Plan (BAP) type.

A dominant habitat is recorded for each polygon, however some polygons have habitats of equal dominance. In this case only one of the habitats is recorded in the top level spatial data. To identify all of the habitats in a particular polygon please refer to the FC_S_NWSS_HABITAT_COMPONENTS table or use the map browser identify tool on the NWSS Habitats layer.

Plantations on Ancient Woodland Sites (PAWS) may not display in the Habitat layer if a surveyor has not recorded a native priority habitat type for the site. This will happen when a site is non-native.

NWSS Canopy Cover: Displays as a percentage, an assessment of the area covered by trees/shrubs. Values range from 0% to 100% in 10% classes. A minimum of 20% canopy cover is required to define woodland, so the 10% and 20% bands are skewed to allow for this.

NWSS Canopy Structures: This displays the number of different structures recorded in a polygon (ranging from 0 to 6). The types of recorded structures are veteran, mature, pole immature, shrub, established regeneration or visible regeneration.

A dominant structure is recorded for each polygon, however some polygons have structures of equal dominance. In this case only one of the structures is recorded in the top level spatial data. To identify all of the structures in a particular polygon please refer to the FC_S_NWSS_CANOPY_STRUCTURES table or use the map browser identify tool on the NWSS Canopy Structures layer.

Information on the species identified in each polygon is also in the NWSS Canopy Structures layer and table.

• indicates a species which is classed as native for the purpose of the survey.
• indicates a species is a shrub not a tree.

NWSS Semi-naturalness: This view of the data shows the percentage of the polygon that is semi-natural. Values range from 0% to 100% in 10% bands.

NWSS Maturity: This indicates the approximate stage of woodland development as either: mature, young, regenerating, mixed or shrub. The value is based on the dominance of the structures recorded; a mixed maturity means that none of the others values are dominant.

NWSS Other Traits: This layer records whether or not there are any other attributes which have been recorded in the polygon. The details of any other traits that have been found can be accessed by viewing the related information attached to a polygon.

NWSS Herbivore Impact: This view of the data shows the overall impact that herbivores have had on a polygon.

NWSS Invasives: This is a separate spatial dataset on the Forestry Commission Spatial Data Repository. It contains a subset of the overall NWSS Map dataset which includes only those polygons were there is some presence of an invasive species. The layer is symbolised on the percentage of invasive species with the polygons, show in 25% bands. The data itself contains more detailed information which is broken down into 5% bands.

Summary of Attributes

SCPTDATA_I Polygon ID (Unique identifier) PAWS_SURVY Surveyed as PAWS TYPE Type CANOPY_PCT Canopy cover percentage NATIVE_PCT Native species percentage DOM_HABITA Dominant habitat type DOM_HB_PCT Dominant habitat type percentage SEMINT_PCT Semi-natural percentage STRUCT_NUM Number of structures MATURITY Maturity DOM_STRUCT Dominant structure HERBIVORE Herbivore impact ER_NAT_PCT Percentage of establish regeneration of native species INVASV_PCT Invasive species percentage INVASV_NUM Number of invasive species OTHR_TRAIT Other traits recorded HECTARES Area in hectares