cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc268kln
title: CCDC 2034021: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc268kmp
title: CCDC 2034022: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc268knq
title: CCDC 2034023: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc268kpr
title: CCDC 2034024: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc268kqs
title: CCDC 2034025: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc268krt
title: CCDC 2034026: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269flk
title: CCDC 2034858: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fml
title: CCDC 2034859: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fnm
title: CCDC 2034860: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fpn
title: CCDC 2034861: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fqp
title: CCDC 2034862: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269frq
title: CCDC 2034863: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fsr
title: CCDC 2034864: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc269fts
title: CCDC 2034865: Experimental Crystal Structure Determination

description: Related Article: Suman Bhattacharya|2021|Cryst.Growth Des.|21|1290|doi:10.1021/acs.cgd.0c01559
DOI: 10.5517/ccdc.csd.cc26fp3g
title: CCDC 2038935: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc26fp4h
title: CCDC 2038936: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc26fp5j
title: CCDC 2038937: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc26fp6k
title: CCDC 2038938: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc26fp2f
title: CCDC 2038934: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc26fp7l
title: CCDC 2038939: Experimental Crystal Structure Determination

description: Related Article: Maura Malinska|2021|Cryst.Growth Des.|21|1103|doi:10.1021/acs.cgd.0c01422
DOI: 10.5517/ccdc.csd.cc24l2d7
title: CCDC 1983578: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc24mwc1
title: CCDC 1985313: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc24mwd2
title: CCDC 1985314: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5281/zenodo.5262708
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.15468/yjjp2j
title: A new species of Hyalella from Colombia, and the redescription of H. meinerti Stebbing, 1899 from Venezuela (Crustacea: Amphipoda)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gonza´lez, Exequiel R., Watling, Les (2003): A new species of Hyalella from Colombia, and the redescription of H. meinerti Stebbing, 1899 from Venezuela (Crustacea: Amphipoda). Journal of Natural History 37 (17): 2095-2111, DOI: 10.1080/00222930210133255, URL: http://www.tandfonline.com/doi/abs/10.1080/00222930210133255
DOI: 10.6084/m9.figshare.12651074
title: Extended Data for A rooted phylogeny resolves early bacterial evolution

description: Extended Data for A rooted phylogeny resolves early bacterial evolution
DOI: 10.5517/ccdc.csd.cc24mw8y
title: CCDC 1985310: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc24mwb0
title: CCDC 1985312: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc24mwg4
title: CCDC 1985316: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc24mwh5
title: CCDC 1985317: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc26myd6
title: CCDC 2044958: Experimental Crystal Structure Determination

description: Related Article: Ceylan Mutlu Balcı|2021|Inorg.Chim.Acta|519|120262|doi:10.1016/j.ica.2021.120262
DOI: 10.5517/ccdc.csd.cc26myf7
title: CCDC 2044959: Experimental Crystal Structure Determination

description: Related Article: Ceylan Mutlu Balcı|2021|Inorg.Chim.Acta|519|120262|doi:10.1016/j.ica.2021.120262
DOI: 10.5517/ccdc.csd.cc26myg8
title: CCDC 2044960: Experimental Crystal Structure Determination

description: Related Article: Ceylan Mutlu Balcı|2021|Inorg.Chim.Acta|519|120262|doi:10.1016/j.ica.2021.120262
DOI: 10.5517/ccdc.csd.cc26l4zy
title: CCDC 2043240: Experimental Crystal Structure Determination

description: Related Article: James E. M. Lewis|2021|Chem.-Eur.J.|27|4454|doi:10.1002/chem.202005363
DOI: 10.5517/ccdc.csd.cc26vx44
title: CCDC 2051646: Experimental Crystal Structure Determination

description: Related Article: Rashmi A. Agarwal|2021|Cryst.Growth Des.|21|2046|doi:10.1021/acs.cgd.0c01462
DOI: 10.5517/ccdc.csd.cc272xkt
title: CCDC 2058386: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210083|doi:10.1107/S2414314621000833
DOI: 10.5517/ccdc.csd.cc272xnx
title: CCDC 2058389: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210085|doi:10.1107/S2414314621000857
DOI: 10.5517/ccdc.csd.cc273jyv
title: CCDC 2058987: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210093|doi:10.1107/S2414314621000936
DOI: 10.5517/ccdc.csd.cc273jzw
title: CCDC 2058988: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210094|doi:10.1107/S2414314621000948
DOI: 10.5517/ccdc.csd.cc276s3c
title: CCDC 2062092: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210153|doi:10.1107/S241431462100153X
DOI: 10.5517/ccdc.csd.cc272t9g
title: CCDC 2058285: Experimental Crystal Structure Determination

description: Related Article: Przemysław Starynowicz|2021|New J.Chem.|45|5879|doi:10.1039/D1NJ00393C
DOI: 10.5517/ccdc.csd.cc272t8f
title: CCDC 2058284: Experimental Crystal Structure Determination

description: Related Article: Przemysław Starynowicz|2021|New J.Chem.|45|5879|doi:10.1039/D1NJ00393C
DOI: 10.5517/ccdc.csd.cc27shyh
title: CCDC 2079137: Experimental Crystal Structure Determination

description: Related Article: D. Yan|2021|IUCrData|6|x210428|doi:10.1107/S2414314621004284
DOI: 10.5517/ccdc.csd.cc27vzkn
title: CCDC 2081512: Experimental Crystal Structure Determination

description: Related Article: Weimin Lin, Erlong Ning, Lingyi Yang, Yin Rao, Shuyin Peng, Qiaowei Li|2021|Inorg.Chem.|60|11756|doi:10.1021/acs.inorgchem.1c01341
DOI: 10.21227/gz8v-2s83
title: PLECS simulation files of DAB control methods

description: These PLECS simulation files are for the article: Modeling and Advanced Control of Dual Active Bridge DC-DC Converters: A Review. The simulation files of the following DAB control methods are included: feedback-only control, linearization control, feedforward plus feedback, disturbance-observer-based control, feedforward current control, model predictive current control and moving discretized control set model predictive. Besides, a simulation file comparing the DAB circuit and the reduced order model is also provided.
DOI: 10.6084/m9.figshare.15510477
title: Age data.xlsx

description: Table S3: The summary of single-aliquot pIRIR ages and single grain pIRIR CAM ages for K-feldspar samples from Toson Lake paleoshorelines and eastern Qaidam Basin dunes.<br>Table S4: Summary of the residual doses for single-aliquot IR<sub>50</sub> and pIR<sub>50</sub>IR<sub>170</sub> signals after 28 h bleaching under sunlight for K-feldspar samples from Toson Lake paleoshorelines.
DOI: 10.6084/m9.figshare.15510477.v1
title: Age data.xlsx

description: Table S3: The summary of single-aliquot pIRIR ages and single grain pIRIR CAM ages for K-feldspar samples from Toson Lake paleoshorelines and eastern Qaidam Basin dunes.<br>Table S4: Summary of the residual doses for single-aliquot IR<sub>50</sub> and pIR<sub>50</sub>IR<sub>170</sub> signals after 28 h bleaching under sunlight for K-feldspar samples from Toson Lake paleoshorelines.
DOI: 10.21227/99af-jw71
title: Hexapod locomotion with CPG

description: This dataset includes time-series motion data of a hexapod walked by CPGs.Each trajectory has 500 steps of 18-dimensional observed joint angles and 18 reference joint angles as state; and six commands to CPGs as action.150 trajectories for training, 25 trajectories for validation, and 25 trajectories for test are seperately summarized in the respective files.
DOI: 10.6084/m9.figshare.15789372
title: A computational protocol to estimate the divergence times of Alphaproteobacteria based on mitochondrial endosymbiosis and eukaryotic fossils

description: Data and codes for the book chapter "A computational protocol to estimate the divergence times of Alphaproteobacteria based on mitochondrial endosymbiosis and eukaryotic fossils". See readme.docx for descriptions.<br><b>Citation</b>Wang S, Luo H. A computational protocol to estimate the divergence times of Alphaproteobacteria based on mitochondrial endosymbiosis and eukaryotic fossils. https://figshare.com/s/cab7de202ca2209764b7
DOI: 10.6084/m9.figshare.16441884
title: Tuberculosis en dos prisiones peruanas

description: <b>Tuberculosis en dos prisiones peruanas</b>
DOI: 10.6084/m9.figshare.16441890
title: Downsampled InSAR displacements and fault slip distribution for the 2021 Maduo Mw7.4 earthquake

description: The down-sampled InSAR displacements for the Sentinel-1 observation in descending orbit (S1D), ascending orbit (S1A) and ALOS-2 ScanSAR measurement in descending orbit (A2D) are uploaded into here for sharing, as well as the derived fault slip distribution for the 2021 Maduo Mw7.4 earthquake. These data are from the manuscript "Fault geometry, coseismic slip, and stress changes of the 2021 Maduo Mw7.4 earthquake, China, constrained by InSAR and GPS measurements", which has submitted to BSSA for reviewing.
DOI: 10.6084/m9.figshare.16441890.v1
title: Downsampled InSAR displacements and fault slip distribution for the 2021 Maduo Mw7.4 earthquake

description: The down-sampled InSAR displacements for the Sentinel-1 observation in descending orbit (S1D), ascending orbit (S1A) and ALOS-2 ScanSAR measurement in descending orbit (A2D) are uploaded into here for sharing, as well as the derived fault slip distribution for the 2021 Maduo Mw7.4 earthquake. These data are from the manuscript "Fault geometry, coseismic slip, and stress changes of the 2021 Maduo Mw7.4 earthquake, China, constrained by InSAR and GPS measurements", which has submitted to BSSA for reviewing.
DOI: 10.15121/1136729
title: Gravity Survey of the Carson Sink - Data and Maps

description: A detailed gravity survey was carried out for the entire Carson Sink in western Nevada (Figure 1) through a subcontract to Zonge Engineering, Inc. The Carson Sink is a large composite basin containing three known, blind high-temperature geothermal systems (Fallon Airbase, Stillwater, and Soda Lake). This area was chosen for a detailed gravity survey in order to characterize the gravity signature of the known geothermal systems and to identify other potential blind systems based on the structural setting indicated by the gravity data. Data were acquired at approximately 400, 800, and 1600 meter intervals for a total of 1,243 stations. The project location and station location points are presented in Figure 14. The station distribution for this survey was designed to complete regional gravity coverage in the Carson Sink area without duplication of available public and private gravity coverage. Gravity data were acquired using a Scintrex CG-5 gravimeter and a LaCoste and Romberg (L&R) Model-G gravimeter. The CG-5 gravity meter has a reading resolution of 0.001 milligals and a typical repeatability of less than 0.005 milligals. The L&R gravity meter has a reading resolution of 0.01 milligals and a typical repeatability of 0.02 milligals. The basic processing of gravimeter readings to calculate through to the Complete Bouguer Anomaly was made using the Gravity and Terrain Correction software version 7.1 for Oasis Montaj by Geosoft LTD. The gravity survey of the Carson Sink yielded a project location and station location map, a Complete Bouguer Anomaly @ 2.67 gm/cc reduction density, a Gravity Complete Bouguer Anomaly at 2.50 g/cc Contour Map, a Gravity Horizontal Gradient Magnitude Shaded Color Contour Map, a Gravity 1st Vertical Derivative Color Contour Map, and an Interpreted Depth to Mesozoic Basement incorporating drill-hole intercept values. A preliminary interpretation of these results suggests that the Carson Sink is a complex composite basin with several major depocenters. Major depocenters are present in the south-central, east-central, and northeastern parts of the basin. The distribution of gravity anomalies suggests a complex pattern of faulting in the subsurface of the basin, with many fault terminations, step-overs, and accommodation zones. The pattern of faulting implies that other, previously undiscovered blind geothermal systems are likely in the Carson Sink. The gravity survey was completed near the end of this project. Thus, more thorough analysis of the data and potential locations of blind geothermal systems is planned for future work.
DOI: 10.15121/1148724
title: Regional Slip Tendency Analysis of the Great Basin Region

description: Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along-fault and fault-to-fault variation in slip or dilation potential is a proxy for along-fault and fault-to-fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson-Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin
DOI: 10.15121/1148729
title: Penrose Well Temperatures

description: Penrose Well Temperatures Geothermal waters have been encountered in several wells near Penrose in Fremont County, Colorado. Most of the wells were drilled for oil and gas exploration and, in a few cases, production. This ESRI point shapefile utilizes data from 95 wells in and around the Penrose area provided by the Colorado Oil and Gas Conservation Commission (COGCC) database at http://cogcc.state.co.us/ . Temperature data from the database were used to calculate a temperature gradient for each well. This information was then used to estimate temperatures at various depths. Projection: UTM Zone 13 NAD27 Extent: West -105.224871 East -105.027633 North 38.486269 South 38.259507 Originators: Colorado Oil and Gas Conservation Commission (COGCC) Karen Christopherson
DOI: 10.15121/1148731
title: Ground Magnetic Data for West-Central Colorado

description: Modeled ground magnetic data was extracted from the Pan American Center for Earth and Environmental Studies database at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was then imported into an Excel spreadsheet. This spreadsheet data was converted into an ESRI point shapefile in UTM Zone 13 NAD27 projection, showing location and magnetic field strength in nano-Teslas. This point shapefile was then interpolated to an ESRI grid using an inverse-distance weighting method, using ESRI Spatial Analyst. The grid was used to create a contour map of magnetic field strength.
DOI: 10.15121/1148732
title: Gravity Data for West-Central Colorado

description: Modeled Bouger-Corrected Gravity data was extracted from the Pan American Center for Earth and Environmental Studies Gravity Database of the U.S. at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was opened in an Excel spreadsheet. This spreadsheet data was then converted into an ESRI point shapefile in UTM Zone 13 NAD27 projection, showing location and gravity (in milligals). This data was then converted to grid and then contoured using ESRI Spatial Analyst. Data from From University of Texas: Pan American Center for Earth and Environmental Studies
DOI: 10.15121/1148733
title: Topographic and Air-Photo Lineaments in Various Locations Related to Geothermal Exploration in Colorado

description: These line shapefiles trace apparent topographic and air-photo lineaments in various counties in Colorado. It was made in order to identify possible fault and fracture systems that might be conduits for geothermal fluids, as part of a DOE reconnaissance geothermal exploration program. Geothermal fluids commonly utilize fault and fractures in competent rocks as conduits for fluid flow. Geothermal exploration involves finding areas of high near-surface temperature gradients, along with a suitable "plumbing system" that can provide the necessary permeability. Geothermal power plants can sometimes be built where temperature and flow rates are high. This line shapefile is an attempt to use desktop GIS to delineate possible faults and fracture orientations and locations in highly prospective areas prior to an initial site visit. Geochemical sampling and geologic mapping could then be centered around these possible faults and fractures. To do this, georeferenced topographic maps and aerial photographs were utilized in an existing GIS, using ESRI ArcMap 10.0 software. The USA_Topo_Maps and World_Imagery map layers were chosen from the GIS Server at server.arcgisonline.com, using a UTM Zone 13 NAD27 projection. This line shapefile was then constructed over that which appeared to be through-going structural lineaments in both the aerial photographs and topographic layers, taking care to avoid manmade features such as roads, fence lines, and utility right-of-ways. Still, it is unknown what actual features these lineaments, if they exist, represent. Although the shapefiles are arranged by county, not all areas within any county have been examined for lineaments. Work was focused on either satellite thermal infrared anomalies, known hot springs or wells, or other evidence of geothermal systems. Finally, lineaments may be displaced somewhat from their actual location, due to such factors as shadow effects with low sun angles in the aerial photographs. Credits: These lineament shapefile was created by Geothermal Development Associates, as part of a geothermal geologic reconnaissance performed by Flint Geothermal, LLC, of Denver Colorado. Use Limitation: These shapefiles were constructed as an aid to geothermal exploration in preparation for a site visit for field checking. We make no claims as to the existence of the lineaments, their location, orientation, and/or nature.
DOI: 10.15121/1148734
title: Geothermal Geodatabase for Wagon Wheel Hot Springs, Mineral County, Colorado

description: This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs at Wagon Wheel Gap have geochemistry and geothermometry values indicative of high-temperature systems. Datasets include: 1. Results of reconnaissance shallow (2 meter) temperature surveys 2. Air photo lineaments 3. Groundwater geochemistry 4. Power lines 5. Georeferenced geologic map of Routt County 6. Various 1:24,000 scale topographic maps
DOI: 10.15121/1148735
title: Geothermal Geodatabase for Routt Hot Springs, Routt County, Colorado

description: This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs and wells in the Routt Hot Spring and Steamboat Springs areahave geochemistry and geothermometry values indicative of high-temperature systems. Datasets include: 1. Results of reconnaissance shallow (2 meter) temperature surveys 2. Air photo lineaments 3. Groundwater geochemistry 5. Georeferenced geologic map of Routt County 6. Various 1:24,000 scale topographic maps