Xiaogang Ma, Jolyon Ralph, Jiyin Zhang, Xiang Que, Anirudh Prabhu, Shaunna M. Morrison, Robert M. Hazen, Lesley Wyborn, Kerstin Lehnert
{"title":"OpenMindat: Open and FAIR mineralogy data from the Mindat database","authors":"Xiaogang Ma, Jolyon Ralph, Jiyin Zhang, Xiang Que, Anirudh Prabhu, Shaunna M. Morrison, Robert M. Hazen, Lesley Wyborn, Kerstin Lehnert","doi":"10.1002/gdj3.204","DOIUrl":"10.1002/gdj3.204","url":null,"abstract":"<p>The open data movement has brought revolutionary changes to the field of mineralogy. With a growing number of datasets made available through community efforts, researchers are now able to explore new scientific topics such as mineral ecology, mineral evolution and new classification systems. The recent results have shown that the necessary open data coupled with data science skills and expertise in mineralogy will lead to impressive new scientific discoveries. Yet, feedback from researchers also reflects the needs for better FAIRness of open data, that is, findable, accessible, interoperable and reusable for both humans and machines. In this paper, we present our recent work on building the open data service of Mindat, one of the largest mineral databases in the world. In the past years, Mindat has supported numerous scientific studies but a machine interface for data access has never been established. Through the OpenMindat project we have achieved solid progress on two activities: (1) cleanse data and improve data quality, and (2) build a data sharing platform and establish a machine interface for data query and access. We hope OpenMindat will help address the increasing data needs from researchers in mineralogy for an internationally recognized authoritative database that is fully compliant with the FAIR guiding principles and helps accelerate scientific discoveries.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45781796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Alumbaugh, Erika Gasperikova, Dustin Crandall, Michael Commer, Shihang Feng, William Harbert, Yaoguo Li, Youzuo Lin, Savini Samarasinghe
{"title":"The Kimberlina synthetic multiphysics dataset for CO2 monitoring investigations","authors":"David Alumbaugh, Erika Gasperikova, Dustin Crandall, Michael Commer, Shihang Feng, William Harbert, Yaoguo Li, Youzuo Lin, Savini Samarasinghe","doi":"10.1002/gdj3.191","DOIUrl":"10.1002/gdj3.191","url":null,"abstract":"<p>We present a synthetic multi-scale, multi-physics dataset constructed from the Kimberlina 1.2 CO<sub>2</sub> reservoir model based on a potential CO<sub>2</sub> storage site in the Southern San Joaquin Basin of California. Among 300 models, one selected reservoir-simulation scenario produces hydrologic-state models at the onset and after 20 years of CO<sub>2</sub> injection. Subsequently, these models were transformed into geophysical properties, including P- and S-wave seismic velocities, saturated density where the saturating fluid can be a combination of brine and supercritical CO<sub>2</sub>, and electrical resistivity using established empirical petrophysical relationships. From these 3D distributions of geophysical properties, we have generated synthetic time-lapse seismic, gravity and electromagnetic responses with acquisition geometries that mimic realistic monitoring surveys and are achievable in actual field situations. We have also created a series of synthetic well logs of CO<sub>2</sub> saturation, acoustic velocity, density and induction resistivity in the injection well and three monitoring wells. These were constructed by combining the low-frequency trend of the geophysical models with the high-frequency variations of actual well logs collected at the potential storage site. In addition, to better calibrate our datasets, measurements of permeability and pore connectivity have been made on cores of Vedder Sandstone, which forms the primary reservoir unit. These measurements provide the range of scales in the otherwise synthetic dataset to be as close to a real-world situation as possible. This dataset consisting of the reservoir models, geophysical models, simulated time-lapse geophysical responses and well logs forms a multi-scale, multi-physics testbed for designing and testing geophysical CO<sub>2</sub> monitoring systems as well as for imaging and characterization algorithms. The suite of numerical models and data have been made publicly available for downloading on the National Energy Technology Laboratory's (NETL) Energy Data Exchange (EDX) website.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44808617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abraham Lauer, Jesse Devaney, Chanh Kieu, Ben Kravitz, Travis A. O'Brien, Scott M. Robeson, Paul W. Staten, The Anh Vu
{"title":"A convection-permitting dynamically downscaled dataset over the Midwestern United States","authors":"Abraham Lauer, Jesse Devaney, Chanh Kieu, Ben Kravitz, Travis A. O'Brien, Scott M. Robeson, Paul W. Staten, The Anh Vu","doi":"10.1002/gdj3.188","DOIUrl":"10.1002/gdj3.188","url":null,"abstract":"<p>Climate change is expected to have far-reaching effects at both the global and regional scale, but local effects are difficult to determine from coarse-resolution climate studies. Dynamical downscaling can provide insight into future climate projections on local scales. Here, we present a new dynamically downscaled dataset for Indiana and the surrounding regions. Output from the Community Earth System Model (CESM) version 1 is downscaled using the Weather Research and Forecasting model (WRF). Simulations are run with a 24-hr reinitialization strategy and a 12-hr spin-up window. WRF output is bias corrected to the National Centers for Environmental Protection/National Center for Atmospheric Research 40-year Reanalysis project (NCEP) using a modified quantile mapping method. Bias-corrected 2-m air temperature and accumulated precipitation are the initial focus, with additional variables planned for future releases. Regional climate change signals agree well with larger global studies, and local fine-scaled features are visible in the resulting dataset, such as urban heat islands, frontal passages, and orographic temperature gradients. This high-resolution climate dataset could be used for down-stream applications focused on impacts across the domain, such as urban planning, energy usage, water resources, agriculture and public health.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43661851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiyun Chen, P. Wang, Hongsen Xie, Longchen Zhu, Xia Liao, X. Kong
{"title":"Detrital zircon\u0000 U–Pb\u0000 ages and Hf isotope analyses of modern and Quaternary sediments in China: A new dataset with preliminary analysis","authors":"Xiyun Chen, P. Wang, Hongsen Xie, Longchen Zhu, Xia Liao, X. Kong","doi":"10.1002/gdj3.193","DOIUrl":"https://doi.org/10.1002/gdj3.193","url":null,"abstract":"","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42542850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}