cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9hg4eqo
title: Soil profile characteristics of Prairie Pothole Region wetland catchments, 2004

description: A study was conducted during 2004 to examine soil carbon storage of Prairie Pothole Region wetland catchments. These data represent the soil profile descriptions performed during that study; the remaining data were published previously (https://doi.org/10.5066/F7KS6QG2). Soil profile descriptions were performed at 270 temporary, seasonal, and semipermanent wetland catchments distributed throughout the Glaciated Plains and Missouri Coteau physiographic regions of the Prairie Pothole Region. Data were collected from four to six wetland and upland zones of the catchment. Study sites included cropland, restored grassland (formerly cropland), and native prairie (no cultivation history) catchments located in Iowa, Minnesota, Montana, North Dakota, and South Dakota.
DOI: 10.15121/1672136
title: Water chemistry data and calculations for Fracture Sustainability Tests

description: Measured cation, anion, and silica are presented as well as calculations evaluating mass balance performed for 4 fracture sustainability tests under EGS conditions: Stripa granite, Metamudstone, Rhyolitic Ashflow Tuff, and Silicified Rhyolitic Tuff. Calculations of charge balance are included for water samples in the 4 tests.
DOI: 10.15473/1675372
title: CalWave Open Water Demo - FMEA Update Budget Period 2

description: The Failure Modes and Effects Analysis (FMEA) is a qualitative reliability technique for systematically analyzing each possible failure mode within a hardware system, and identifying the resulting effect on that system, the mission, and the personnel. This submission includes an updated FMEA summary for CalWave's open water demonstration including pre- and post-mitigation results, hazard identification (HAZID) analysis, and component/function rooted FMEA.
DOI: 10.15121/1678708
title: Chemistry of the thermal water samples of the Camas Prairie area in Idaho, USA

description: This dataset includes chemistry of geothermal water samples of the Camas Prairie area in Idaho. The samples included in this dataset were collected over the period of 2016-2019. Collection/analysis of new water samples and compilation of existing water chemistry database were conducted for Snake River Play Fairway Project. All chemical analysis of the samples were conducted in the Analytical Laboratory at the Center of Advanced Energy Studies (unless otherwise indicated) in Idaho Falls, Idaho. Isotope analysis were conducted in analytical/isotope measurement labs at Lawrence Berkeley National Laboratory, Utah State University, and University of Utah.
DOI: 10.15121/1678730
title: Geothermal Permitting and NEPA Timeline Analysis

description: In this analysis, we outline the types of NEPA-related analyses and approvals (e.g., environmental assessment), and we provide examples of geothermal development activities (e.g., well drilling) that might require each type of approval, including an overview and discussion of the specific permits. We conducted an in-depth analysis of timelines specific to each NEPA analysis type, and we analyzed a sample of geothermal projects to identify factors that increased NEPA review timelines. Based on that analysis, we identified proven and potential strategies that can assist geothermal projects by lowering the time necessary to navigate the NEPA process, while maintaining the efficacy of the federal environmental review intact. We also identified areas of potential improvement in NEPA efficiency within each phase of geothermal development. Shortening project timelines can effectively decrease the perceived risk profiles of geothermal development projects. This submission includes a paper, poster, and presentation for the Geothermal Resources Council (GRC) summarizing geothermal permitting and NEPA timeline analysis. Also included are two spreadsheets detailing the NEPA timeline analysis and environmental assessments (EA).
DOI: 10.15121/1700648
title: GeoVision - Barriers Taskforce

description: This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included in this submission are three papers submitted to the Geothermal Resources Council (GRC) which detail how land access, permitting, and market barriers delay geothermal project development. Also included is the GeoVision Barriers Analysis Summary report, which projects and quantifies the future electric and nonelectric deployment potentials of geothermal technologies within a range of scenarios in addition to their impacts on U.S. jobs, the economy, and environment.
DOI: 10.15121/1767977
title: USU Camas-1 Test Well: Documentation

description: This submission contains documents that describe the USU Camas-1 test well, drilled in Camas Prairie, Idaho, in Fall 2018 and Fall 2019. The purpose of this well is to validate exploration methodologies of the Snake River Plain (SRP) Play Fairway Analysis (PFA) project.
DOI: 10.15121/1770752
title: Analysis of Geothermal Resources in Three Texas Counties

description: This project updates the geothermal resources beneath our oil and gas fields, as part of the research for the Texas GEO project. This report "Analysis of Geothermal Resources in Three Texas Counties" (October 2020) improves on previous mapping of the Texas resources for the counties of Crockett (West Texas), Jackson (central Gulf Coast) and Webb (South Texas). Through additional bottom-hole temperatures (BHT), the number of well sites increased from 532 to 5,410 in total for these counties. The improved methodology to calculate formation temperatures from 3.5 km (11,500 ft) to 10 km (32,800 ft) includes thermal conductivity values more closely related to the actual county geological formations, incorporated radiogenic heat production of formations, and the related mapped depth to basement. The results show deep temperatures as hotter than previously calculated, with temperatures of 150 degrees Celcius possible for Webb County between depths of 2.6 - 5.1 km, Jackson County between depths 3.0 - 5.4 km, and Crockett County between depths of 2.7 - 8.0 km.
DOI: 10.3886/e130627
title: Code for: The Proximal Bootstrap for Finite-Dimensional Regularized Estimators

description: We propose a proximal bootstrap that can consistently estimate the limiting distribution of $\sqrt{n}$ consistent estimators with nonstandard asymptotic distributions in a computationally efficient manner by formulating the proximal bootstrap estimator as the solution to a convex optimization problem, which can have a closed form solution for certain designs. This paper considers the application to finite-dimensional regularized estimators, such as the Lasso, $\ell_{1}$ norm regularized quantile regression, $\ell_{1}$ norm support vector regression, and trace regression via nuclear norm regularization.
DOI: 10.3886/e130627v1
title: Code for: The Proximal Bootstrap for Finite-Dimensional Regularized Estimators

description: We propose a proximal bootstrap that can consistently estimate the limiting distribution of $\sqrt{n}$ consistent estimators with nonstandard asymptotic distributions in a computationally efficient manner by formulating the proximal bootstrap estimator as the solution to a convex optimization problem, which can have a closed form solution for certain designs. This paper considers the application to finite-dimensional regularized estimators, such as the Lasso, $\ell_{1}$ norm regularized quantile regression, $\ell_{1}$ norm support vector regression, and trace regression via nuclear norm regularization.
DOI: 10.15121/1773692
title: Training dataset and results for geothermal exploration artificial intelligence, applied to Brady Hot Springs and Desert Peak

description: The submission includes the labeled datasets, as ESRI Grid files (.gri, .grd) used for training and classification results for our machine leaning model: - brady_som_output.gri, brady_som_output.grd, brady_som_output.* - desert_som_output.gri, desert_som_output.grd, desert_som_output.* The data corresponds to two sites: Brady Hot Springs and Desert Peak, both located near Fallon, NV. Input layers include: - Geothermal: Labeled data (0: Non-geothermal; 1: Geothermal) - Minerals: Hydrothermal mineral alterations, as a result of spectral analysis using Chalcedony, Kaolinite, Gypsum, Hematite and Epsomite - Temperature: Land surface temperature (% of times a pixel was classified as "Hot" by K-Means) - Faults: Fault density with a 300mradius - Subsidence: PSInSAR results showing subsidence displacement of more than 5mm - Uplift: PSInSAR results showing subsidence displacement of more than 5mm Also, the results of the classification using Brady and Desert Peak to build 2 Convolutional Neural Networks. These were applied to the training site as well as the other site, the results are in GeoTiff format. - brady_classification: Results of classification of the Brady-trained model - desert_classification: Results of classification of the Desert Peak-trained model - b2d_classification: Results of classification of Desert Peak using the Brady-trained model - d2b_classification: Results of classification of Brady using the Desert Peak-trained model
DOI: 10.15121/1773700
title: GeoThermalCloud framework for fusion of big data and multi-physics models in Nevada and Southwest New Mexico

description: Our GeoThermalCloud framework is designed to process geothermal datasets using a novel toolbox for unsupervised and physics-informed machine learning called SmartTensors. More information about GeoThermalCloud can be found at the GeoThermalCloud GitHub Repository. More information about SmartTensors can be found at the SmartTensors Github Repository and the SmartTensors page at LANL.gov. Links to these pages are included in this submission. GeoThermalCloud.jl is a repository containing all the data and codes required to demonstrate applications of machine learning methods for geothermal exploration. GeoThermalCloud.jl includes: - site data - simulation scripts - jupyter notebooks - intermediate results - code outputs - summary figures - readme markdown files GeoThermalCloud.jl showcases the machine learning analyses performed for the following geothermal sites: - Brady: geothermal exploration of the Brady geothermal site, Nevada - SWNM: geothermal exploration of the Southwest New Mexico (SWNM) region - GreatBasin: geothermal exploration of the Great Basin region, Nevada Reports, research papers, and presentations summarizing these machine learning analyses are also available and will be posted soon.
DOI: 10.15121/1773834
title: GEOPHIRES files for DDU techno-economic simulations

description: During 2017-2019, the U.S. Department of Energy funded six geothermal deep direct-use (DDU) projects to investigate feasibility of DDU for heating, cooling and thermal storage in the United States. In a follow-on study conducted at the National Renewable Energy Laboratory (NREL), findings of these six projects were reviewed and analyzed, and additional simulations were conducted using the simulator GEOPHIRES to explore technical performance and cost-competitiveness of DDU. The results of the NREL study were published in the paper "Evaluating the Feasibility of Geothermal Deep Direct-Use in the United States." The GEOPHIRES files developed in that study are included in this submission. The reference for the paper under review is below: Beckers KF, Kolker A, Pauling H, McTigue JD, and Kesseli D (2021) ?Evaluating the Feasibility of Geothermal Deep Direct-Use in the United States?, Submitted to Energy Conversion and Management, Under Review.
DOI: 10.6084/m9.figshare.14608215
title: Gene database of Influenza A virus H1N1

description: This work presents the gene database of Influenza A virus H1N1. Using annotated genome sequence downloaded from Genbank, an in-house MATLAB genome analysis software parsed the contents into a gene database comprising gene name, gene function, and gene sequence. Overall, the presented gene database of H1N1 is fundamental to initiating studies in understanding the origins and pathogenic potential of this virus.
DOI: 10.15121/1776594
title: Utah FORGE: Seismic Activity from April, 2019

description: This dataset contains seismic event detections acquired using the 151 Nodal geophones deployed at the Utah FORGE site in April 2019. Details regarding the publishing are available in the paper linked below (Mesimeri, M. and K. L. Pankow et al. 2020). A frequency-domain-based algorithm for detecting induced seismicity using dense surface seismic arrays, Geophys. J. Int, submitted.
DOI: 10.15121/1776596
title: Utah FORGE: Phase 3 InSAR Study Results

description: Ground movement is evaluated through analysis of Interferometric Synthetic Aperture Radar (InSAR) interferograms. Results indicate there has been no detectable ground movement at millimeter scale. The zipped file in this submission contains a report, maps, and results from the InSAR Phase 3 study done to determine ground crustal deformation, if any, in the Utah FORGE area. The data used to facilitate this study included synthetic aperture radar data acquired by the TerraSAR-X and TanDEM-X satellite missions operated by the German Space Agency (DLR). It is accompanied by a README.txt file which further describes each included dataset.
DOI: 10.15121/1776597
title: Utah FORGE: Phase 3 Ground Water Level Monitoring Data

description: Groundwater data around the Utah FORGE site has been collected to determine the piezometric levels and compositional variability. Field measurements in 2020 are designed to obtain and survey new groundwater wells that have been drilled on the distal periphery of the Utah FORGE project area. The spreadsheet included in this submission contains ground water level data from the Utah FORGE site as monitored from wells WOW-2 and WOW-3. The well locations are also provided as UTM, Zone 12, NAD83 coordinates.
DOI: 10.15121/1776599
title: Utah FORGE: Phase 3 Microgravity Data

description: A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are undertaken on a quarterly basis. The focus of current activities is comparative analysis of GPS survey results and InSAR analysis (see GDR Submission 1251) to check seasonal variance and to evaluate possible changes in the groundwater elevation. The attached zip file contains a text file and an Excel spreadsheet containing Utah FORGE Phase 3 processed "final" microgravity data through time. The data are identical in both files. The spreadsheet is only supplied for convenience. There is also a ReadMe.txt file that describes the field headings.
DOI: 10.6084/m9.figshare.14608218.v1
title: GSM3041073_Fetal-17w_rep1_H3K27ac.macs2_peaks.broadPeak

description: FCH_H3K27ac
DOI: 10.15121/1776600
title: Utah FORGE: Updated Phase 2C Well Location Coordinates

description: Utah FORGE has been established to develop, test, and improve the technologies and techniques required to develop EGS-type geothermal resources. Drilling of the first of two deep deviated wells, 16A(78)-32, will begin in the second half of 2020. This well will serve as the injection well for the injection-production well pair that will form the heart of the laboratory. This submission contains an archive of well location data within the Roosevelt Hot Springs geothermal area. An Excel spreadsheet is included containing updated GPS data for Utah FORGE wells drilled during Phase 2C (56-32, 68-32, 78-32). This data was collected over time by the Utah Geological Survey and contains all coordinates collected and the final averaged XY coordinates in both Longitude and Latitude and UTM Zone 12, NAD83. Elevation is also included. GIS shapefiles with well points are provided in the archive.
DOI: 10.6084/m9.figshare.14608218
title: GSM3041073_Fetal-17w_rep1_H3K27ac.macs2_peaks.broadPeak

description: FCH_H3K27ac
DOI: 10.6084/m9.figshare.14564424.v1
title: data.csv

description: We selected the Python Language Learning Community at Baidu Tieba, an online learning community that is devoted to Python language learning. We crawled the data of users' posts and replies in this community during 2015 and 2019 and obtained a total of 130,535 posts. Then, we removed invalid posts, including advertising messages, promotional links, pure emoticons (symbols) and self-replies that were posted by users and finally achieved 996,40 effective posts.
DOI: 10.6084/m9.figshare.14526804
title: Satellite-derived monthly 750-m resolution PM2.5 data in China from June 2017 to May 2018.

description: Satellite-derived monthly 750-m resolution PM2.5 data in China from June 2017 to May 2018
DOI: 10.6084/m9.figshare.14526804.v1
title: Satellite-derived monthly 750-m resolution PM2.5 data in China from June 2017 to May 2018.

description: Satellite-derived monthly 750-m resolution PM2.5 data in China from June 2017 to May 2018
DOI: 10.6084/m9.figshare.14564424.v2
title: data.csv

description: We selected the Python Language Learning Community at Baidu Tieba, an online learning community that is devoted to Python language learning. We crawled the data of users' posts and replies in this community during 2015 and 2019 and obtained a total of 130,535 posts. Then, we removed invalid posts, including advertising messages, promotional links, pure emoticons (symbols) and self-replies that were posted by users and finally achieved 996,40 effective posts.
DOI: 10.6084/m9.figshare.14564424.v3
title: data.csv

description: We selected the Python Language Learning Community at Baidu Tieba, an online learning community that is devoted to Python language learning. We crawled the data of users' posts and replies in this community during 2015 and 2019 and obtained a total of 130,535 posts. Then, we removed invalid posts, including advertising messages, promotional links, pure emoticons (symbols) and self-replies that were posted by users and finally achieved 996,40 effective posts.
DOI: 10.15121/1780913
title: Directional Cooling-Induced Fracturing Westerly Granite Test Results

description: Directional Cooling-Induced Fracturing (DCIF) experiments were conducted on a short, cylindrical sample of Westerly granite (diameter = 4 inches, height ~ 2 inches). Liquid nitrogen was poured in a copper cup attached to the top of the sample, and the resulting acoustic emissions (AEs) and temperature changes on the surface of the sample were monitored. The obtained AEs were used to determine the microcracking source locations and amplitude, and the associated moment tensors. Included in this submission is an animation of the AEs, a graphic displaying the temperature changes, and the measured data.
DOI: 10.5281/zenodo.4768803
title: Artifact for #468: TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects

description: <pre>This is the artifact submission of paper #468: TERA: Optimizing Stochastic Regression Tests in Machine Learning Projects.</pre>
DOI: 10.11577/1783177
title: Short-Lived Intermediate in the N2O Generation by P450 NO Reductase Captured by Time-Resolved IR Spectroscopy and XFEL Crystallography

description: Diffraction images were collected using an MX300-HS CCD detector. For each cryoloop, 2D raster scan with 50 μm step in each direction was performed twice. In the second pass, the raster-scan grid was shifted 25 μm in each direction. In cheetah directory, - {puck_name}/{pin_id}_hits.h5 correspond to the first scan, and - {puck_name}/{pin_id}-2_hits.h5 correspond to the second scan.
DOI: 10.6084/m9.figshare.14608239
title: C. reinhardtii v5.3 per-chromosome recombination rates

description: Per-chromosome recombination rates for C. reinhardtii, published in Hasan and Ness 2020. Rho values calculated using LDhelmet (Chan et al 2012) using the C. reinhardtii v5.3 genome. Full description of methods can be found in the manuscript. <br><br>`mean_rho` - the mean per-base rho values reported by LDhelmet`mean_r` - rho / 2*Ne*f, where f = 0.001194 (frequency of sex in nature)`mean_r_realized` - rho / 2*Ne`mean_r_cM_Mb` - unit conversion of `mean_r``mean_r_cM_bp` - unit conversion of `mean_r`<br><br>
DOI: 10.6084/m9.figshare.12848163
title: Bryophytes from four mountains in northern Greece, including <i>Mannia gracilis</i> and eight other species new to Greece, and a note on an extreme form of <i>Pohlia elongata</i> var. <i>greenii</i>

description: <b>Introduction</b>. Bryological knowledge of the mountains of mainland Greece remained very fragmentary until the later part of the twentieth century, but increased exploration in recent years has begun to document the flora and produced significant records. <b>Methods</b>. As part of ongoing studies on the Greek bryophyte flora, the author, accompanied by Marko Sabovljević, visited four mountains in Northern Greece (Mt Timfi, Mt Varnous, Mt Voras, Mt Vermio) in 2003 to record the bryophytes. Further collections were made by the author in 2017–2019. <b>Key results</b>. Nine species new for Greece are reported from the author’s collections: <i>Diplophyllum taxifolium</i>, <i>Mannia gracilis</i>, <i>Scapania subalpina</i>, <i>Solenostoma confertissimum</i>, <i>Bryum creberrimum</i>, <i>Rhizomnium pseudopunctatum</i>, <i>Roaldia dolomitica</i>, <i>Serpoleskea confervoides</i> and <i>Sphagnum flexuosum.</i> Three further species, <i>Metzgeria pubescens</i>, <i>Scapania cuspiduligera</i> and <i>Grimmia unicolor</i>, are formally documented for the country. Previous reports of <i>Scapania subalpina</i> and <i>Serpoleskea confervoides</i> in Greece are erroneous. The presence of <i>Diplophyllum obtusifolium</i> on Mt Voras is doubtful, but it has been found recently in the Greek Rhodope Mountains. An extreme form of <i>Pohlia elongata</i> var. <i>greenii</i>, a variety which is new for Greece, is discussed and illustrated.
DOI: 10.6084/m9.figshare.12848163.v1
title: Bryophytes from four mountains in northern Greece, including <i>Mannia gracilis</i> and eight other species new to Greece, and a note on an extreme form of <i>Pohlia elongata</i> var. <i>greenii</i>

description: <b>Introduction</b>. Bryological knowledge of the mountains of mainland Greece remained very fragmentary until the later part of the twentieth century, but increased exploration in recent years has begun to document the flora and produced significant records. <b>Methods</b>. As part of ongoing studies on the Greek bryophyte flora, the author, accompanied by Marko Sabovljević, visited four mountains in Northern Greece (Mt Timfi, Mt Varnous, Mt Voras, Mt Vermio) in 2003 to record the bryophytes. Further collections were made by the author in 2017–2019. <b>Key results</b>. Nine species new for Greece are reported from the author’s collections: <i>Diplophyllum taxifolium</i>, <i>Mannia gracilis</i>, <i>Scapania subalpina</i>, <i>Solenostoma confertissimum</i>, <i>Bryum creberrimum</i>, <i>Rhizomnium pseudopunctatum</i>, <i>Roaldia dolomitica</i>, <i>Serpoleskea confervoides</i> and <i>Sphagnum flexuosum.</i> Three further species, <i>Metzgeria pubescens</i>, <i>Scapania cuspiduligera</i> and <i>Grimmia unicolor</i>, are formally documented for the country. Previous reports of <i>Scapania subalpina</i> and <i>Serpoleskea confervoides</i> in Greece are erroneous. The presence of <i>Diplophyllum obtusifolium</i> on Mt Voras is doubtful, but it has been found recently in the Greek Rhodope Mountains. An extreme form of <i>Pohlia elongata</i> var. <i>greenii</i>, a variety which is new for Greece, is discussed and illustrated.