cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24431/rw1k5a5
title: Currents Measurements from ADCPs for the ASGARD Project, Bering Sea, 2017-2019

description: These data are part of the Arctic Shelf Growth, Advection, Respiration and Deposition (ASGARD) Rate Measurements project, funded as part of the North Pacific Research Board’s (NPRB’s) Arctic Integrated Ecosystem Research Program (IERP; http://www.nprb.org/arctic- program/). The program and research on this expedition was sponsored by NPRB, the Collaborative Alaskan Arctic Studies Program (CAASP, formerly the North Slope Borough/Shell Baseline Studies Program), the Bureau of Ocean Energy Management (BOEM), the National Science Foundation, and the Office of Naval Research Marine Mammals and Biology Program. In-kind support for this research cruise was contributed by the National Oceanic and Atmospheric Administration and the University of Alaska Fairbanks. For this study, 6 moorings were deployed in the northern Bering Sea and southern Chukchi Sea. Each mooring was equipped with a variety of instruments to provide time series of environmental conditions throughout the water column. Moorings were deployed during the R/V Sikuliaq cruise SKQ201709S in June 2017. With one exception, they were recovered during the R/V Sikuliaq cruise SKQ201813S in June 2018. One mooring, N5, was unable to be recovered because of problems with the mooring release, and was recovered by a small-boat operation staged out of Kivalina, AK, in July 2018. In the second year of the project, 6 mooring were re-deployed at the same locations during R/V Sikuliaq cruise SKQ201813S. Moorings were recovered during the R/V Ocean Starr (https://www.stabbertmaritime.com/vessels-2/ocean-starr/) ArcticIES Phase II Cruise, Leg 1 (no cruise id?). For 2 of these moorings, no ADCP data were recoverable. The ADCP battery died on mooring N2. Mooring N3 was partially recovered by dragging but corrosion of the instrument frame led to complete loss of the ADCP and the other dataloggers. Two moorings were recovered by dragging (N1 and N5). This dataset consists of measurements from Acoustic Doppler Current Profilers (ADCPs). Measurements in this dataset include ocean currents and instrument diagnostic variables at multiple depth levels in the water column, and temperature measured at the instrument depth.
DOI: 10.5517/ccdc.csd.cc271zbm
title: CCDC 2057480: Experimental Crystal Structure Determination

description: Related Article: Yifan Ping, Taiwei Chang, Jianbo Wang|2021|Tetrahedron|92|132274|doi:10.1016/j.tet.2021.132274
DOI: 10.5517/ccdc.csd.cc279yyg
title: CCDC 2065156: Experimental Crystal Structure Determination

description: Related Article: Corentin Pigot, Guillaume Noirbent, Thanh-Tuân Bui, Sébastien Péralta, Sylvain Duval, Malek Nechab, Didier Gigmes, Frédéric Dumur|2021|Dyes Pigm.|194|109552|doi:10.1016/j.dyepig.2021.109552
DOI: 10.5517/ccdc.csd.cc279yzh
title: CCDC 2065157: Experimental Crystal Structure Determination

description: Related Article: Corentin Pigot, Guillaume Noirbent, Thanh-Tuân Bui, Sébastien Péralta, Sylvain Duval, Malek Nechab, Didier Gigmes, Frédéric Dumur|2021|Dyes Pigm.|194|109552|doi:10.1016/j.dyepig.2021.109552
DOI: 10.5517/ccdc.csd.cc27d5f8
title: CCDC 2067279: Experimental Crystal Structure Determination

description: Related Article: Logesh Mathivathanan, Yiannis Sanakis, Raphael G. Raptis, Philippe Turek, Athanassios K. Boudalis|2021|Phys.Chem.Chem.Phys.(PCCP)|23|14415|doi:10.1039/D1CP01965A
DOI: 10.5517/ccdc.csd.cc27dwl4
title: CCDC 2067966: Experimental Crystal Structure Determination

description: Related Article: Wei Zhang, Shiqun Xiang, Weibin Fan, Jiang Jin, Yinghua Li, Deguang Huang|2021|Org.Biomol.Chem.|19|5794|doi:10.1039/D1OB00730K
DOI: 10.24431/rw1k5a6
title: Currents Measurements from ADCPs on mooring N4 of the ASGARD Project, Bering Sea, 2017-19

description: These data are part of the Arctic Shelf Growth, Advection, Respiration and Deposition (ASGARD) Rate Measurements project, funded as part of the North Pacific Research Board’s (NPRB’s) Arctic Integrated Ecosystem Research Program (IERP; http://www.nprb.org/arctic- program/). The program and research on this expedition was sponsored by NPRB, the Collaborative Alaskan Arctic Studies Program (CAASP, formerly the North Slope Borough/Shell Baseline Studies Program), the Bureau of Ocean Energy Management (BOEM), the National Science Foundation, and the Office of Naval Research Marine Mammals and Biology Program. In-kind support for this research cruise was contributed by the National Oceanic and Atmospheric Administration and the University of Alaska Fairbanks. For this study, 6 moorings were deployed in the northern Bering Sea and southern Chukchi Sea. Each mooring was equipped with a variety of instruments to provide time series of environmental conditions throughout the water column. Moorings were deployed during the R/V Sikuliaq cruise SKQ201709S in June 2017. With one exception, they were recovered during the R/V Sikuliaq cruise SKQ201813S in June 2018. One mooring, N5, was unable to be recovered because of problems with the mooring release, and was recovered by a small-boat operation staged out of Kivalina, AK, in July 2018. In the second year of the project, 6 mooring were re-deployed at the same locations during R/V Sikuliaq cruise SKQ201813S. Moorings were recovered during the R/V Ocean Starr (https://www.stabbertmaritime.com/vessels-2/ocean-starr/) ArcticIES Phase II Cruise, Leg 1 (no cruise id?). For 2 of these moorings, no ADCP data were recoverable. The ADCP battery died on mooring N2. Mooring N3 was partially recovered by dragging but corrosion of the instrument frame led to complete loss of the ADCP and the other dataloggers. Two moorings were recovered by dragging (N1 and N5). This dataset consists of measurements from Acoustic Doppler Current Profilers (ADCPs). Measurements in this dataset include ocean currents and instrument diagnostic variables at multiple depth levels in the water column, and temperature measured at the instrument depth.
DOI: 10.5281/zenodo.5083834
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: 10.26300/rv5s-my77
title: Data documentation for "State Regulations and Hospice Utilization in Assisted Living during the Last Month of Life"
DOI: 10.21227/ahym-e477
title: Neural Audio Fingerprint Dataset (full)

description: Most of existing audio fingerprinting systems have limitations to be used for high-specific audio retrieval at scale. In this work, we generate a low-dimensional representation from a short unit segment of audio, and couple this fingerprint with a fast maximum inner-product search. To this end, we present a contrastive learning framework that derives from the segment-level search objective. Each update in training uses a batch consisting of a set of pseudo labels, randomly selected original samples, and their augmented replicas. These replicas can simulate the degrading effects on original audio signals by applying small time offsets and various types of distortions, such as background noise and room/microphone impulse responses. In the segment-level search task, where the conventional audio fingerprinting systems used to fail, our system using 10x smaller storage has shown promising results. Our code and dataset are available at https://mimbres.github.io/neural-audio-fp/.
DOI: 10.5517/ccdc.csd.cc27jl7m
title: CCDC 2071520: Experimental Crystal Structure Determination

description: Related Article: Yan Zong, Ze-Jun Xu, Rong-Xiu Zhu, Ai-Hong Su, Xu-Yuan Liu, Ming-Zhu Zhu, Jing-Jing Han, Jiao-Zhen Zhang, Yu-Liang Xu, Hong-Xiang Lou|2021|Angew.Chem.,Int.Ed.|60|15286|doi:10.1002/anie.202104182
DOI: 10.5517/ccdc.csd.cc27jnbs
title: CCDC 2071585: Experimental Crystal Structure Determination

description: Related Article: Yan Zong, Ze-Jun Xu, Rong-Xiu Zhu, Ai-Hong Su, Xu-Yuan Liu, Ming-Zhu Zhu, Jing-Jing Han, Jiao-Zhen Zhang, Yu-Liang Xu, Hong-Xiang Lou|2021|Angew.Chem.,Int.Ed.|60|15286|doi:10.1002/anie.202104182
DOI: 10.5517/ccdc.csd.cc20m2d4
title: CCDC 1865375: Experimental Crystal Structure Determination

description: Related Article: Jinxing Jiang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27jpm3
title: CCDC 2071625: Experimental Crystal Structure Determination

description: Related Article: Daniel K. Unruh|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27jt9x
title: CCDC 2071739: Experimental Crystal Structure Determination

description: Related Article: Liuzhou Gao|2021|CSD Communication|||
description: Related Article: Liuzhou Gao, Hanyin Zhang, Xueting Liu, Guoqiang Wang, Shuhua Li|2021|Dalton Trans.|50|6982|doi:10.1039/D1DT00921D
DOI: 10.5517/ccdc.csd.cc27jtg2
title: CCDC 2071744: Experimental Crystal Structure Determination

description: Related Article: weihan wang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27jx2s
title: CCDC 2071825: Experimental Crystal Structure Determination

description: Related Article: Wen Chen|2021|CSD Communication|||
description: Related Article: Xiang-Kai Kong, Zhi-Min Xiong, Xiang Zhi, Xue-Ling Meng, Jing-Feng Zhao, Wen Chen, Hongbin Zhang|2021|Org.Biomol.Chem.|19|4043|doi:10.1039/D1OB00293G
DOI: 10.5517/ccdc.csd.cc27k2tq
title: CCDC 2072003: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Downie, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27k2vr
title: CCDC 2072004: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Downie, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27k2ws
title: CCDC 2072005: Experimental Crystal Structure Determination

description: Related Article: Kyle Walker, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27k30y
title: CCDC 2072009: Experimental Crystal Structure Determination

description: Related Article: Vania Artigas, Mauricio Fuentealba, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27k31z
title: CCDC 2072010: Experimental Crystal Structure Determination

description: Related Article: N. Johan Mensah, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27k342
title: CCDC 2072013: Experimental Crystal Structure Determination

description: Related Article: Emily Latham, Michael R. Probert, Paul G. Waddell|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.14913045.v1
title: AT_Genome_annotations

description: Arabidopsis_thaliana_Col-XJTU genome annotations.
DOI: 10.6084/m9.figshare.14935989
title: Dataset 1

description: Dataset related to figure 2 and figure 4 of the manuscript, "Peripheral detection acuity for interference fringes and screen-based Gabor gratings".
DOI: 10.6084/m9.figshare.14935989.v1
title: Dataset 1

description: Dataset related to figure 2 and figure 4 of the manuscript, "Peripheral detection acuity for interference fringes and screen-based Gabor gratings".
DOI: 10.25345/c5v835
title: MassIVE MSV000087782 - MassIVE data submission of Artemisia MSe data
title: LC-MSe data of 5 Artemisia species (whole plant body) extracts for analyzing their chemical diversity, including 7 QC samples (mixture of all the samples in same conc.)
DOI: 10.17909/t9-kfsv-6g77
title: lightcurve_OO Dra
DOI: 10.5281/zenodo.5083890
title: IPS-MP Benchmarks

description: IPS-MP Benchmarks
DOI: 10.5281/zenodo.5083785
title: IPS-MP Benchmarks

description: IPS-MP Benchmarks
DOI: 10.24431/rw1k5a7
title: Currents Measurements from ADCPs on mooring N6 of the ASGARD Project, Bering Sea, 2017-19

description: These data are part of the Arctic Shelf Growth, Advection, Respiration and Deposition (ASGARD) Rate Measurements project, funded as part of the North Pacific Research Board’s (NPRB’s) Arctic Integrated Ecosystem Research Program (IERP; http://www.nprb.org/arctic- program/). The program and research on this expedition was sponsored by NPRB, the Collaborative Alaskan Arctic Studies Program (CAASP, formerly the North Slope Borough/Shell Baseline Studies Program), the Bureau of Ocean Energy Management (BOEM), the National Science Foundation, and the Office of Naval Research Marine Mammals and Biology Program. In-kind support for this research cruise was contributed by the National Oceanic and Atmospheric Administration and the University of Alaska Fairbanks. For this study, 6 moorings were deployed in the northern Bering Sea and southern Chukchi Sea. Each mooring was equipped with a variety of instruments to provide time series of environmental conditions throughout the water column. Moorings were deployed during the R/V Sikuliaq cruise SKQ201709S in June 2017. With one exception, they were recovered during the R/V Sikuliaq cruise SKQ201813S in June 2018. One mooring, N5, was unable to be recovered because of problems with the mooring release, and was recovered by a small-boat operation staged out of Kivalina, AK, in July 2018. In the second year of the project, 6 mooring were re-deployed at the same locations during R/V Sikuliaq cruise SKQ201813S. Moorings were recovered during the R/V Ocean Starr (https://www.stabbertmaritime.com/vessels-2/ocean-starr/) ArcticIES Phase II Cruise, Leg 1 (no cruise id?). For 2 of these moorings, no ADCP data were recoverable. The ADCP battery died on mooring N2. Mooring N3 was partially recovered by dragging but corrosion of the instrument frame led to complete loss of the ADCP and the other dataloggers. Two moorings were recovered by dragging (N1 and N5). This dataset consists of measurements from Acoustic Doppler Current Profilers (ADCPs). Measurements in this dataset include ocean currents and instrument diagnostic variables at multiple depth levels in the water column, and temperature measured at the instrument depth.
DOI: 10.6084/m9.figshare.14936007
title: rbcL July 2021

description: Database of rbcL sequences, formatted for use with DADA2, for plant identification by DNA metabarcoding.
DOI: 10.6084/m9.figshare.14936004
title: ITS2 July 2021

description: A database of plant ITS2 sequences, formatted for DNA metabarcoding using DADA2.
DOI: 10.15121/1409668
title: Chemical, Calcium Phosphate Cements for Geothermal Wells - Corrosion Protection, Bond Strength and Matrix Self-Healing

description: The data set shows performance of economical calcium phosphate cement (Fondu) blended with fly ash, class F (FAF) in carbon steel corrosion protection tests (corrosion rate, corrosion current and potential), bond- and matrix strength, as well as matrix strength recovery after imposed damage at 300C. The corrosion protection and lap-shear bond strength data are given for different Fondu/FAF ratios, the matrix strength data recoveries are reported for 60/40 weight % Fondu/FAF ratios. Effect of sodium phosphate on bond strength, corrosion protection and self-healing is demonstrated.
DOI: 10.15121/1452743
title: Fallon FORGE: Seismic Reflection Profiles

description: Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model. Data along seven profiles (&gt;100 km of total profile length) through and adjacent to the Fallon site were re-processed. The most up-to-date, industry-tested seismic processing techniques were utilized to improve the signal strength and coherency in the sedimentary, volcanic, and Mesozoic crystalline basement sections, in conjunction with fault diffractions in order to improve the identification and definition of faults within the study area.
DOI: 10.15121/1452763
title: Utah FORGE: Earthquake Catalog

description: This is the set of earthquake catalogs developed for the Utah FORGE project covering December of 2016 through March of 2018. These are discussed in the "Utah FORGE Phase 2B Final Topical Report," which can be found on GDR under id: 1038 (See link 'Final Topical Report' in resources below). The details are in section: 'TASK 2B.12: SEISMIC MONITORING PHASE2B FINAL REPORT.' The catalogs are in an Excel file.
DOI: 10.5517/ccdc.csd.cc26654r
title: CCDC 2031713: Experimental Crystal Structure Determination

description: Related Article: Patrick Voßnacker, Thomas Keilhack, Nico Schwarze, Karsten Sonnenberg, Konrad Seppelt, Moritz Malischewski, Sebastian Riedel|2021|Eur.J.Inorg.Chem.|2021|1034|doi:10.1002/ejic.202001072
DOI: 10.5517/ccdc.csd.cc26653q
title: CCDC 2031712: Experimental Crystal Structure Determination

description: Related Article: Patrick Voßnacker, Thomas Keilhack, Nico Schwarze, Karsten Sonnenberg, Konrad Seppelt, Moritz Malischewski, Sebastian Riedel|2021|Eur.J.Inorg.Chem.|2021|1034|doi:10.1002/ejic.202001072
description: Related Article: Patrick Pröhm, Nico Schwarze, Carsten Müller, Simon Steinhauer, Helmut Beckers, Susanne M. Rupf, Sebastian Riedel|2021|Chem.Commun.|57|4843|doi:10.1039/D1CC01088C
DOI: 10.5517/ccdc.csd.cc27kmct
title: CCDC 2072516: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Kushvaha, Maria Francis, Jayasree Kumar, Ekta Nag, Prathap Ravichandran, Sudipta Roy, Kartik Chandra Mondal|2021|RSC Advances|11|22849|doi:10.1039/D1RA03071J
DOI: 10.5517/ccdc.csd.cc27kq1l
title: CCDC 2072599: Experimental Crystal Structure Determination

description: Related Article: Bethan Winterson, Tim Rennigholtz, Thomas Wirth|2021|Chemical Science|12|9053|doi:10.1039/D1SC02123K
DOI: 10.5517/ccdc.csd.cc27kzvn
title: CCDC 2072872: Experimental Crystal Structure Determination

description: Related Article: Katarina Stefkova, Matthew J. Heard, Ayan Dasgupta, Rebecca L. Melen|2021|Chem.Commun.|57|6736|doi:10.1039/D1CC01856F
DOI: 10.5517/ccdc.csd.cc27kzwp
title: CCDC 2072873: Experimental Crystal Structure Determination

description: Related Article: Katarina Stefkova, Matthew J. Heard, Ayan Dasgupta, Rebecca L. Melen|2021|Chem.Commun.|57|6736|doi:10.1039/D1CC01856F
DOI: 10.5517/ccdc.csd.cc27lg1c
title: CCDC 2073312: Experimental Crystal Structure Determination

description: Related Article: Guanting Liu, Hisahiro Sasabe, Kengo Kumada, Amane Matsunaga, Hiroshi Katagiri, Junji Kido|2021|J.Mater.Chem.C|9|8308|doi:10.1039/D1TC01427G
DOI: 10.5517/ccdc.csd.cc27lg2d
title: CCDC 2073313: Experimental Crystal Structure Determination

description: Related Article: Guanting Liu, Hisahiro Sasabe, Kengo Kumada, Amane Matsunaga, Hiroshi Katagiri, Junji Kido|2021|J.Mater.Chem.C|9|8308|doi:10.1039/D1TC01427G
DOI: 10.15121/1493734
title: Resource Analysis for Deep Direct-Use Feasibility Study in East Texas

description: The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power plants. The area of interest is the Eastman Chemical plant in Longview, Texas, which is on the northwestern margin of the Sabine Uplift. The study is focused on determining the potential for a geothermal reservoir within a 10 km radius of the site as defined by data from existing geological studies and cross-sections within the depths of 2,100 to 3,400 meters. Wells within a 20 km radius are included for broader geological comparison to determine the heat flow, temperature-at-depth, and oil and gas field porosity and permeability. The geothermal reservoir model is based on the multiple formation top data sources, published literature data, and well log interpretations within the 10 km radius. Area thickness estimates, reservoir extent bounding parameters, potential flow rates, and temperatures are combined to calculate a reservoir productivity index and develop a reservoir production model. Historical fluid volumes production data are used as an independent check for the reservoir productivity index and production model results. The reservoir parameters calculated here are being used for the surface engineering model to determine the economic viability of using geothermal fluids for a deep direct use application at this site. The data files are submitted as separate workbooks in 'content model' format, including: Well Fluid Production, Heat Flow, and Geologic Reservoir.
DOI: 10.15121/1495414
title: Geocellular model of St. Peter Sandstone for University of Illinois at Urbana-Champaign DDU Feasibility Study

description: The geocellular model of the St. Peter Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 km by 9.7 km (6 miles by 6 miles) to ensure that the model enclosed a large enough volume so that the cones of depression of both the production and injection wells would not interact with each other, while at the same time minimizing the number of cells to model to reduce computational time. The grid-cell size was set to 61.0 m by 61.0 m (200 feet by 200 feet) for 160 nodes in the X and Y directions. The top surface of the St. Peter Sandstone was provided by geologists working on the project, and the average thickness of the formation was taken from the geologic prospectus they provided. An average thickness of 68.6 m (225 feet) was used for the St. Peter Sandstone, resulting in 45 layers for the model. Petrophysical data was taken from available rotary sidewall core data (Morrow et al., 2017). As geothermal properties (thermal conductivity, specific heat capacity) are closely related to mineralogy, specifically the percentage of quartz, available mineralogical data was assembled and used with published data of geothermal values to determine these properties (Waples and Waples, 2004; Robertson, 1988). The St. Peter Sandstone was divided into facies according to similar geothermal and petrophysical properties, and distributed according to available geophysical log data and prevailing interpretations of the depositional/diagenetic history (Will et al. 2014). Petrophysical and geothermal properties were distributed through geostatistical means according to the associated distributions for each lithofacies. The formation temperature was calculated, based on data from continuous temperature geophysical log from a deep well drilled into the Precambrian basement at the nearby Illinois Basin Decatur Project (IBDP) where CO2 is currently being sequestered (Schlumberger, 2012). Salinity values used in the model were taken from regional studies of brine chemistry in the St. Peter Sandstone, including for the IBDP (e.g., Panno et al. 2018). After being reviewed by the project's geologists, the model was then passed onto the geological engineers to begin simulations of the geothermal reservoir and wellbores.
DOI: 10.15121/1526473
title: Resource Analysis for Deep Direct-Use Feasibility Study in East Texas, Part 2

description: The National Renewable Energy Laboratory, Southern Methodist University Geothermal Laboratory, Eastman Chemical, Turbine Air Systems, and the Electric Power Research Institute are evaluating the feasibility of using geothermal heat to improve the efficiency of natural gas power plants. The area of interest is the Eastman Chemical plant in Longview, Texas, which is on the northwestern margin of the Sabine Uplift. Part 2 focus on: 1) Permit report and spreadsheet on Federal, State, and Local agency requirements for a geothermal deep direct-use project in the vicinity of East Texas for Harrison, Gregg, Rusk, and Panola Counties. 2) Evaluation of the Geologic Variability of Travis Peak Formation as a reservoir. 3) Updated Heat Flow Memo with additional references.