The Portland Basin is a prime location to assess the feasibility of DDU-TES because natural geologic conditions provide thermal and hydraulic separation from overlying aquifers that would otherwise sweep away stored heat. Under the Portland Basin, the lower Columbia River Basalt Group (CRBG) aquifers contain brackish water (1,000-10,000 mg/L TDS), indicating low groundwater flow rates and poor connection with the overlying regional aquifer. Further, CRBG lavas tend to have comparatively low thermal conductivity, indicating that the 400-1,000 ft thick CRBG may be an effective thermal barrier to the overlying aquifer. A temporally and spatially limited previous study of a Portland Basin CRBG aquifer demonstrated that the injection of waste heat resulted in an increase in temperature by more than a factor of two, indicating a high potential for storing heat.

This data submission includes ASCII grid surfaces for the Portland and Tualatin Basins including a DEM of modern topography, the top of Columbia River Basalt (CRB), the base of CRB, and basement. It also includes three isochore (thickness) maps between these intervals. In addition, there is an ArcGIS attribute table for associated data points, a map of data types used to constrain the top of CRB, and cross-sections, all made using IHS Kingdom Suite, Petrosys PRO, ESRI ArcGIS, and Adobe Illustrator software.

The Jack and Laura Dangermond Preserve protects eight miles of last-of-its-kind wild coastline and more than 24,000 acres of oak woodland, chaparral and grassland habitats in Southern California. The preserve, located at Point Conception, Southern California’s “elbow” where the coast bends northward to San Francisco (called “the last perfect place” by the Los Angeles Times) presents significant opportunities for geospatial innovation, among which is the restoration of oak woodlands.

Coast live oaks are among California’s most iconic trees, unique in their ability to thrive in the dynamic, diverse environment. Drought resistant, adapted to fire, and evergreen with a dense, hemispherical crown and complex architecture of branches, they are a keystone species of coastal woodlands and the dominant feature on more than 6,000 acres of the preserve’s land. However, despite its wide distribution and because of its unique habitat characteristics, areas of the coastal oak woodland need serious attention.

The large-scale restoration project is driven by orders from the California Coastal Commission that were transferred to The Nature Conservancy (TNC) when it purchased the property in 2017. Using coast live oak acorns and seedlings collected from the preserve, restoration managers are beginning the project by re-planting 200 acres. To monitor the project’s health and progress, TNC enlisted the interconnected suite of ArcGIS Apps for the field including Collector, Survey 123 and Operations Dashboards, coordinated and hosted through ArcGIS Online. When used in conjunction, these applications enable project teams to capture critical spatial information on the location, health and condition of each tree planted. The ongoing work is conducted by a spatially distributed team of project managers and scientists who access real-time information that supports timely decision-making. Further, the map and report structure allow for the generation of complete annual monitoring reports that are required by the Coastal Commission.

The trees will be monitored for five years; metrics on each individual will be collected annually and updated live in the operations dashboard. This project, one of many taking place on the preserve, relies on quick, reliable data capture and delivery in order to ensure that the preserve remains the last perfect place in California.

Region: Jack and Laura Dangermond Preserve, Southern CaliforniaPartners: Esri, Padre Associates Inc.

Web link: https://www.nature.org/en-us/explore/magazine/magazine-articles/the-crown-of-the-coast/Contact: Kelly Easterday (kelly.easterday@tnc.org)

Software: ArcGIS Pro, Adobe Illustrator, Photoshop, ArcGIS Online, Collector, Survey 123, Operations Dashboard

Data sources: Esri basemaps, Field data collected by Padre Associates Inc

The US Geological Survey, in cooperation with the National Park Service, mapped 35 7.5-minute quadrangles, within a 2-mile-wide+ corridor centered on the Parkway, from BLRI (Blue Ridge Parkway) Mile Post (MP) 0 near Afton, Virginia southward to MP 218 at Cumberland Knob, approximately 1.3 km south of the Virginia – North Carolina State Line. Detailed bedrock geologic mapping for this project was conducted at 1:24,000-scale by systematically traversing roads, trails, creeks, and ridges within and adjacent to the 2-mile-wide+ corridor along the 216.9-mile length of the BLRI in Virginia. Geologic data at more than 23,000 station points were collected during this project (September 2009 – February 2014), with approximately 19,500 included in the accompanying database. Station point geologic data collected included lithology, structural measurements (bedding, foliations, folds, lineations, etc), mineral resource information, and other important geologic observations. Station points at the start of this project (September 2009) were located in the field using topographic reckoning; after May 2012 stations were located using Topo Maps (latest version 1.12.1) for Apple IPad 2, model MC744LL/A. Since the start of the project, station point geologic data and locational metadata were recorded both in analog (field notebook and topographic field sheets) and digitally in ESRI ArcGIS (latest version ArcMAP 10.1). Station point geologic data were used to identify major map units, construct contact lines between map units, identify the nature of those contacts (igneous, stratigraphic or structural), determine contact convention control (exact – located in field to within 15 meters; approximate – located to within 60 meters; inferred – located greater than 60 meters), trace structural elements (faults, fold axes, etc) across the project area, and determine fault orientation and kinematics. Geologic line work was initially drafted in the field during the course of systematic detailed mapping; line editing occurred during office compilation in Adobe Illustrator (latest version CS 4). Final editing occurred during conversion and compilation of Illustrator line work into the ArcGIS database, where it was merged with station point geologic data. Station point geologic data, contacts and faults from previous work in the BLRI corridor were evaluated for compilation and synthesis in the BLRI mapping project. Station point geologic data compiled from previous work are referenced and marked with a “C” in the database. Compiled line work is also clearly tagged and referenced. The BLRI cuts at an oblique angle nearly the entire width of the Blue Ridge Geologic Province in Virginia. Thus, the geology varies significantly along it’s along its 216-mile traverse. North of Roanoke (BLRI MP 115), the Blue Ridge is defined as an orogen-scale, northwest-vergent, northeast-plunging reclined anticlinorium, and from its start at MP 0 near Afton, Virginia, southward to Roanoke, the BLRI traverses the western limb of this structure. Here, rocks range in age from Mesoproterozoic to Cambrian: Mesoproterozoic orthogneisses and metamorphosed granitoid rocks of the Shenandoah massif comprise “basement” to Neoproterozoic to Cambrian mildy- to non-metamorphosed to sedimentary “cover” rocks; the BLRI crisscrosses in many places the contact between cover and basement. Mesoproterozoic basement rocks in the Shenandoah massif represent the original crust of the Laurentian (ancestral North American) continent; sedimentary cover rocks were deposited directly on this crust during extension and breakup of the Rodinian supercontinent in the Neoproterozoic to earliest Cambrian. Very locally, diabase dikes of earliest Jurassic age intrude older basement and cover sequences. These dikes were emplaced in the Blue Ridge during continental extension (rifting) and the opening of the Atlantic Ocean in the Mesozoic Era. From MP 103.3 to MP 110.3 near Roanoke, the BLRI crosses into and out of a part of the Valley and Ridge Geologic Province. Unmetamorphosed sedimentary rocks of Cambrian to Ordovician age – mostly shale, siltstone and carbonate – occur here. These rocks were deposited in a terrestrial to shallow marine environment on the Laurentian continental margin, after extensional breakup of Rodinian supercontinent in the Neoproterozoic and earliest Cambrian, but before mid- to late-Paleozoic orogenesis. South of Roanoke, the Blue Ridge Geologic Province quickly transitions from an anticlinorium to a stack of imbricated thrust sheets. After crossing the southern end of the Shenandoah Mesoproterozoic basement massif (MP 124.1 to MP 144.4), the BLRI enters the eastern Blue Ridge province, a fault-bounded geologic terrane comprised of high-metamorphic-grade sedimentary and volcanic rocks deposited east of the Laurentian continental margin from the Neoproterozoic to early Paleozoic. These rocks were significantly metamorphosed, deformed, and transported westward onto the Laurentian margin along major orogenic faults during Paleozoic orogenesis. Sixty bedrock map units underlie the BLRI in Virginia. These units consist of one or more distinguishing lithologies (rock types), and are grouped into formal and informal hierarchal frameworks based on age, stratigraphy (formations-groups), and tectonogenesis. Many of these units exhibit characteristics and field relationships that are critical to our understanding of Appalachian orogenesis. Most of these units are named based on the dominant occurring lithology; other units follow formal nomenclature, some of which was developed and has been used for more than 100 years. Oldest rocks occurring along the BLRI corridor are Mesoproterozoic orthopyroxene-bearing basement rocks of the Shenandoah massif, in the core of the Blue Ridge anticlinorium. Preliminary SHRIMP U-Pb zircon geochronology (J. N. Aleinikoff, this study) shows that these rocks can be grouped based on crystallization ages: Group I (~1.2 to 1.14 Ga) are strongly foliated orthogneisses and Group II (~1.06 to 1.0 Ga) are less deformed metagranitoids. Group I orthogneisses, which occur discontinuously from near Irish Gap (MP 37) to Cahas Overlook (MP 139), comprise 10 map units: leucogranitic gneiss (Yllg); megacrystic quartz-monzonitic gneiss (Yqg); granitic gneiss (Yg); lineated granitoid gneiss (Ylgg); garnetiferous leucogneiss (Yglg); Sandy Creek gneiss (Ysg); porphyroblastic garnet-biotite leucogranitic gneiss (Ygtg); dioritic gneiss (Ydg); Pilot gneiss (Ypg); and megacrystic granodioritic gneiss (Ygg). Group II metagranitoids, which are first encountered along the BLRI at Reeds Gap (MP 14) and occur discontinuously to Roanoke River Overlook (MP 115), comprise 8 map units: megacrystic meta-quartz monzonitoid (Yqm); massive metagranitoid (Ymgm); megacrystic metagranitoid (Ypgm); mesocratic porphyritic metagranitoid (Ygpm); metagranodioritoid (Ygdm); Vesuvius megaporphyritic metagranitoid (Yvm); quartz-feldspar leucogranitoid (Yqfm); and Peaks of Otter metagranitoid (Ypom). An additional relatively undeformed metagranitoid with a preliminary SHRIMP U-Pb zircon age of ~1.12 Ga is assigned to the Bottom Creek Suite (Ybcm), and well layered migmatitic gneiss (Ymg) near Irish Gap (MP 37) has a a preliminary SHRIMP U-Pb zircon age of ~1.05 Ga. Other rocks of Mesoproterozoic age include orthogneisses in the Fries thrust sheet between MP 139 and MP 144.5 that range in age from ~1.19 to ~1.07 Ga: biotite-muscovite leucogneiss (Ymlg); biotite granitic augen gneiss (Ybgg); blue-quartz gneiss (Ybqg); and biotite leucogneiss (Yblg). Latest Mesoproterozoic rocks include paragneiss and pegmatite (Yprg) near Porters Mountain Overlook (MP 90), and a suite of igneous intrusive nelsonites and jotunites (Yjn). Two units, foliated metagreenstone (Zdm) and foliated metagranitoid (Zgm), locally intrude older Mesoproterozoic rocks in the core of the Blue Ridge anticlinorium. Metagreenstone is fine-grained and mafic in composition, and occur as narrow dikes and sills; metagranitoid is medium-grained and generally felsic in composition, and intrude basement rocks as small plutons, stocks, and a few narrow dikes. On the west limb of the Blue Ridge anticlinorium, metamorphosed sedimentary and volcanic rocks of Neoproterozoic to Cambrian age crop out discontinuously along the BLRI from near Afton (MP 0) to MP 103.3, in the vicinity Roanoke Mountain (MP 120 to MP 124), to near Adney Gap (MP 136). These rocks are assigned to a formal stratigraphic sequence: Swift Run Formation; Catoctin Formation; Chilhowee Group. Metasedimentary and meta-igneous rocks of lower Paleozoic (?) to Neoproterozoic age are assigned to the Alligator Back Formation, Lynchburg Group, and Ashe Formation. These units crop out southeast of the Red Valley fault from MP 144.5 southwestward to the North Carolina–Virginia State Line at Mile Post 216.9. Rocks assigned to the Alligator Back crop out in the Blue Ridge Parkway corridor from Mile Post 174.5 southward to the North Carolina–Virginia State Line: compositional-layered biotite-muscovite gneiss (abg); garnet-biotite-muscovite-quartz schist (abs); quartzite and quartz-rich metasandstone (abq); and marble (abm). The following lithologic map units along the BLRI corridor are correlated with Lynchburg Group formations: graphitic schist (lgs), muscovite-biotite metagraywacke (lmg), and graphite-muscovite-quartz metasandstone (lms). These rocks crop out between the Red Valley fault (Mile Post 144.5) and the Rock Castle Creek fault (Mile Post 174.5). Coarse-grained- to conglomeratic metagraywacke (acm), underlying Lynchburg Group rocks west of the Rock Castle Creek fault in the vicinity of Rakes Millpond (MP 162.3) and Rocky Knob Visitors Center (MP 169), are considered to be the lower metamorphic grade-equivalent of the higher metamorphic-grade Ashe Formation at its type section in northwestern North Carolina. Five meta-igneous lithologic map units

Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map.

To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360).

We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.

This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Two previously published digital geologic data sets (U.S. and Caribbean) were clipped to the map extent, while the dataset for Mexico was digitized for this project. Original attributes for all data layers were maintained, and in some cases, graphically merged with common symbology for presentation purposes. The world has been divided into geologic provinces that are used for allocation and prioritization of oil and gas assessments. For the World Energy Project, a subset of those provinces is shown on this map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. The World Geographic Coordinate System of 1984 is used for data storage, and the data are presented in a Lambert Conformal Conic Projection on the OFR 97-470-L map product. Other details about the map compilation and data sources are provided in metadata documents in the data section on this CD-ROM. Several software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0. Tips

This map was created as part of a worldwide series of geologic maps for the U.S. Geological Survey's World Energy Project. These products are available on CD-ROM and the Internet. The goal of the project is to assess the undiscovered, technically recoverable oil and gas resources of the world. Two previously published digital geologic data sets (U.S. and Caribbean) were clipped to the map extent, while the dataset for Mexico was digitized for this project. Original attributes for all data layers were maintained, and in some cases, graphically merged with common symbology for presentation purposes. The world has been divided into geologic provinces that are used for allocation and prioritization of oil and gas assessments. For the World Energy Project, a subset of those provinces is shown on this map. Each province has a set of geologic characteristics that distinguish it from surrounding provinces. These characteristics may include dominant lithologies, the age of the strata, and/or structural type. The World Geographic Coordinate System of 1984 is used for data storage, and the data are presented in a Lambert Conformal Conic Projection on the OFR 97-470-L map product. Other details about the map compilation and data sources are provided in metadata documents in the data section on this CD-ROM. Several software packages were used to create this map including: Environmental Systems Research Institute, Inc. (ESRI) ArcGIS 8.3, ArcInfo software, Adobe Photoshop CS, Illustrator CS, and Acrobat 6.0.

Repository for all code and data used in Compare and Ye, "Using process-based understanding and feature selection to inform a LSTM neural network model for simulating stage of an eogenetic karst spring".

This repository contains folders for Code, Data, Plots, Models, Results and Additional Figures.

Some raw data was collected manually form the Northwest Florida Water Management District online portal (https://nwfwmd.aquaticinformatics.net/) and the Florida Climate Center (https://climatecenter.fsu.edu/climate-data-access-tools/downloadable-data), and this has been noted in the code when appropriate. USGS data of Wakulla Spring was downloaded within the notebook. Both raw and processed data can be found in the data folder.

Code is organized in 4 Juptyer Notebooks

1. Data processing
2. Hyperparameter tuning for each of the neural networks
3. Training the neural networks under the tuned parameters and saving the network weights and simulation results
4. Generating figures used in the reports (Due to the computational demands of hyperparameter tuning, it is recommended to not run this code again unless you have a good amount of storage and time.)

Model weights for each of the models are saved in the Models folder from Notebook 3, and loaded from here in Notebook 4.

Plots generated with code are saved in the Plots folder from Notebook 4.

Some additional figures for this study were generated in ArcGIS Pro and Adobe Illustrator, and these files can be found in the AdditionalFigures folder.

This is a clone of the GitHub repo found at https://github.com/kylecompare/FeatureSelection-KarstSpringLSTM from February 7, 2024.

This publication contains summaries of placer mining operations active between 2007 and 2009. Although formatted, summaries have not been edited for this publication. The maps were generated from an ArcGIS digital compilation, which was converted into a publishable format through Adobe Illustrator. Information about the active placer operations and related geology was derived from survey forms which were completed by placer miners, and from field visits. Although we have made our best efforts to include all active operations and to be as accurate as possible, there may be some omissions and errors and we apologize for those. Summaries are arranged in sections by drainage basin, with corresponding maps and photos included.

Bron: Gemeente Zwolle Peildatum: 18 juli 2018Omschrijving: In en rond het centrum staan een aantal informatie zuilen met daarop de Stadsplattegrond van het Zwolse Centrum gebied. Vanuit het project wordt het bronbestand vrijgegeven voor hergebruik. Het bestand heeft een extensie *.ai en is geschikt voor Adobe Illustrator vanaf versie CS6.