cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25syfc
title: CCDC 2019973: Experimental Crystal Structure Determination

description: Related Article: Chen Wang, Jun Ying, Xin-yue Zhang, Bao-yue Zhang, Ai-xiang Tian, Xiu-li Wang|2021|CrystEngComm|23|2424|doi:10.1039/D0CE01811B
DOI: 10.5517/ccdc.csd.cc2679yq
title: CCDC 2032823: Experimental Crystal Structure Determination

description: Related Article: C. Sabarinathan, M. Karthikeyan, R. M. Murugappan, Savarimuthu Philip Anthony, Bhaskaran Shankar, Kannabiran Parthasarathy, T. Arumuganathan|2021|New J.Chem.|45|5576|doi:10.1039/D1NJ00138H
DOI: 10.5517/ccdc.csd.cc268zcv
title: CCDC 2034417: Experimental Crystal Structure Determination

description: Related Article: Ivan A. Mezentsev-Cherkes, Tatiana A. Shestimerova, Aleksei V. Medved'ko, Mikhail A. Kalinin, Alexey N. Kuznetsov, Zheng Wei, Evgeny V. Dikarev, Sergey Z. Vatsadze, Andrei V. Shevelkov|2021|CrystEngComm|23|2384|doi:10.1039/D0CE01730B
DOI: 10.5517/ccdc.csd.cc266j32
title: CCDC 2032053: Experimental Crystal Structure Determination

description: Related Article: Wu-Bo Du, Ning-Ning Wang, Chao Pan, Shao-Fei Ni, Li-Rong Wen, Ming Li, Lin-Bao Zhang|2021|Green Chemistry|23|2420|doi:10.1039/D1GC00027F
DOI: 10.5517/ccdc.csd.cc26fnx7
title: CCDC 2038929: Experimental Crystal Structure Determination

description: Related Article: Jiawei Hua, Mixue Bian, Tao Ma, Man Yang, Wei He, Zhao Yang, ChengKou Liu, Zheng Fang, Kai Guo|2021|Cat.Sci.Tech.|11|2299|doi:10.1039/D0CY02273J
DOI: 10.5517/ccdc.csd.cc26hrzg
title: CCDC 2040946: Experimental Crystal Structure Determination

description: Related Article: Mu Yu|2020|CSD Communication|||
description: Related Article: Yu Mu, Tao Zhang, Yaping Cheng, Wenzhen Fu, Zuting Wei, Wanjun Chen, Guodu Liu|2021|Cat.Sci.Tech.|11|2306|doi:10.1039/D0CY02470H
DOI: 10.5517/ccdc.csd.cc26hs0j
title: CCDC 2040947: Experimental Crystal Structure Determination

description: Related Article: Mu Yu|2020|CSD Communication|||
description: Related Article: Yu Mu, Tao Zhang, Yaping Cheng, Wenzhen Fu, Zuting Wei, Wanjun Chen, Guodu Liu|2021|Cat.Sci.Tech.|11|2306|doi:10.1039/D0CY02470H
DOI: 10.5517/ccdc.csd.cc26p569
title: CCDC 2046130: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p57b
title: CCDC 2046131: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p58c
title: CCDC 2046132: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p59d
title: CCDC 2046133: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p5bf
title: CCDC 2046134: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p5cg
title: CCDC 2046135: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5517/ccdc.csd.cc26p5dh
title: CCDC 2046136: Experimental Crystal Structure Determination

description: Related Article: Victor-Emmanuel H. Kassin, Romain Morodo, Thomas Toupy, Isaline Jacquemin, Kristof Van Hecke, Raphaël Robiette, Jean-Christophe M. Monbaliu|2021|Green Chemistry|23|2336|doi:10.1039/D0GC04395H
DOI: 10.5281/zenodo.4645972
title: U.S. west coast mountain hydroclimate dataset under local sea surface temperature perturbations: 2003-2015

description: This repository contains the data used in the following paper: Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, <em>J. Hydrometeor.</em> doi:10.1175/JHM-D-20-0127.1 It includes the hydroclimate data (P, T, SWE) over the western U.S. under two simulations: one historical reconstruction and one local SST perturbed simulation. The dataset covers the daily conditions during 2003-2015 on a 6-km grids that is used by the Weather Research and Forecasting model. There are other variables generated from this study, and for these additional data please contact Dr. Xiaodong Chen or Dr. Ruby Leung. If you would like to use this dataset, please cite the above paper along with the following related study: Chen, X. and L. R. Leung (2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations, <em>Geophys. Res. Lett.</em>, doi:10.1029/2020GL089254
description: {"references": ["Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, J. Hydrometeor. doi:10.1175/JHM-D-20-0127.1", "Chen, X.\u00a0and L. R. Leung\u00a0(2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations,\u00a0Geophys. Res. Lett., doi:10.1029/2020GL089254"]}
DOI: 10.5281/zenodo.4645971
title: U.S. west coast mountain hydroclimate dataset under local sea surface temperature perturbations: 2003-2015

description: This repository contains the data used in the following paper: Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, <em>J. Hydrometeor.</em> doi:10.1175/JHM-D-20-0127.1 It includes the hydroclimate data (P, T, SWE) over the western U.S. under two simulations: one historical reconstruction and one local SST perturbed simulation. The dataset covers the daily conditions during 2003-2015 on a 6-km grids that is used by the Weather Research and Forecasting model. There are other variables generated from this study, and for these additional data please contact Dr. Xiaodong Chen or Dr. Ruby Leung. If you would like to use this dataset, please cite the above paper along with the following related study: Chen, X. and L. R. Leung (2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations, <em>Geophys. Res. Lett.</em>, doi:10.1029/2020GL089254
description: {"references": ["Chen, X., L. R. Leung, Y. Gao, and Y. Liu (2021), Response of U.S. west coast mountain snowpack to local sea surface temperature perturbations: Insights from numerical modeling and machine learning, J. Hydrometeor. doi:10.1175/JHM-D-20-0127.1", "Chen, X.\u00a0and L. R. Leung\u00a0(2020), Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations,\u00a0Geophys. Res. Lett., doi:10.1029/2020GL089254"]}
DOI: 10.5281/zenodo.4623717
title: CICE gx3 Grid and Initial Condition Data - 2021-03-19

description: New initial states for gx3 with monthly initial files.
DOI: 10.25390/caryinstitute.14294474.v1
title: Zoonotic Host Status Model Results

description: Rdata files containing the outputs from our bootstrap evaluation of a model of zoonotic host status. These data (one using data as observed and the other a "null" model using reshuffled labels to correct evaluation statistics) are list objects containing a data.frame with evaluation statistics for 10 bootstrap runs of the model and a data.frame that contains information to create the partial dependency plots shown as Figure 4 in the main text. Use the load function on this file in R to access these objects (they will be loaded in as objects named BOOT and NULB).
DOI: 10.25390/caryinstitute.14294474
title: Zoonotic Host Status Model Results

description: Rdata files containing the outputs from our bootstrap evaluation of a model of zoonotic host status. These data (one using data as observed and the other a "null" model using reshuffled labels to correct evaluation statistics) are list objects containing a data.frame with evaluation statistics for 10 bootstrap runs of the model and a data.frame that contains information to create the partial dependency plots shown as Figure 4 in the main text. Use the load function on this file in R to access these objects (they will be loaded in as objects named BOOT and NULB).
DOI: 10.6084/m9.figshare.13194833
title: Data for geographic variability in freshwater methane hydrogen isotope ratios and its implications for emissions source apportionment and microbial biogeochemistry

description: Global data compilation of freshwater (wetland, inland water, and rice paddy) methane isotopic measurements, along with measurements of carbon dioxide carbon isotope measurementes and water hydrogen isotope measurements<br>
DOI: 10.6084/m9.figshare.13194833.v2
title: Data for geographic variability in freshwater methane hydrogen isotope ratios and its implications for emissions source apportionment and microbial biogeochemistry

description: Global data compilation of freshwater (wetland, inland water, and rice paddy) methane isotopic measurements, along with measurements of carbon dioxide carbon isotope measurementes and water hydrogen isotope measurements<br>
DOI: 10.6084/m9.figshare.13194833.v1
title: Data for geographic variability in freshwater methane hydrogen isotope ratios and its implications for emissions source apportionment and microbial biogeochemistry

description: Global data compilation of freshwater (wetland, inland water, and rice paddy) methane isotopic measurements, along with measurements of carbon dioxide carbon isotope measurementes and water hydrogen isotope measurements<br>
DOI: 10.5281/zenodo.4643803
title: The development of low-activation, multi-principal element alloys for nuclear fusion applications: Data

description: Data and images for PhD thesis titled "The development of low-activation, multi-principal element alloys for nuclear fusion applications"
DOI: 10.5281/zenodo.4643802
title: The development of low-activation, multi-principal element alloys for nuclear fusion applications: Data

description: Data and images for PhD thesis titled "The development of low-activation, multi-principal element alloys for nuclear fusion applications"
DOI: 10.6084/m9.figshare.14336759
title: Rossby Deformation Radius

description: The Rossby Radius of deformation based on the first surface mode, calculated from World Ocean Atlas 2018, as described in LaCasce and Groeskamp, 2020, Journal of Physical Oceanography.
DOI: 10.3886/e119446v75
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5281/zenodo.4646219
title: Teeth of past and present elephants: Microstructure and composition of enamel in fossilized proboscidean molars and implications for diagenesis

description: Enamel as hardest biological tissue remains unaltered for millions of years and is therefore an excellent archive for studies on paleodiet, paleoecology, paleoclimate, paleoenvironment, biomechanical and evolutionary studies. However, diagenetic alterations can influence such interpretations and therefore we analyzed the microstructure and composition (elemental and stable isotopic) of fossil and extant proboscidean teeth to study the extent of diagenesis in them. We report for the first time on the enamel microstructure data of the Indian elephantiformes <em>Anancus</em>, <em>Stegodon</em>, <em>Elephas</em> and <em>Palaeoloxodon</em> besides analyzing <em>Gomphotherium </em>and <em>Deinotherium</em> from new formations. Furthermore, we compare their microstructure with those of the primitive African taxa of <em>Moeritherium</em> and <em>Palaeomastodon</em>. Our results from depth-related elemental composition and oxygen isotope ratios of enamel phosphate and carbonate indicate no or only negligible modification. There is also a lack of age-dependency of these minor alterations within the fossils collected from Siwaliks of the Himalayan Foreland Basin. Overall, our study indicates that diagenesis has not played any significant role on the samples studied here and are therefore well suited for chemical and paleontological studies and proxy for paleoclimate and paleoenvironment reconstruction.
DOI: 10.5281/zenodo.4646218
title: Teeth of past and present elephants: Microstructure and composition of enamel in fossilized proboscidean molars and implications for diagenesis

description: Enamel as hardest biological tissue remains unaltered for millions of years and is therefore an excellent archive for studies on paleodiet, paleoecology, paleoclimate, paleoenvironment, biomechanical and evolutionary studies. However, diagenetic alterations can influence such interpretations and therefore we analyzed the microstructure and composition (elemental and stable isotopic) of fossil and extant proboscidean teeth to study the extent of diagenesis in them. We report for the first time on the enamel microstructure data of the Indian elephantiformes <em>Anancus</em>, <em>Stegodon</em>, <em>Elephas</em> and <em>Palaeoloxodon</em> besides analyzing <em>Gomphotherium </em>and <em>Deinotherium</em> from new formations. Furthermore, we compare their microstructure with those of the primitive African taxa of <em>Moeritherium</em> and <em>Palaeomastodon</em>. Our results from depth-related elemental composition and oxygen isotope ratios of enamel phosphate and carbonate indicate no or only negligible modification. There is also a lack of age-dependency of these minor alterations within the fossils collected from Siwaliks of the Himalayan Foreland Basin. Overall, our study indicates that diagenesis has not played any significant role on the samples studied here and are therefore well suited for chemical and paleontological studies and proxy for paleoclimate and paleoenvironment reconstruction.
DOI: 10.6084/m9.figshare.14107410
title: Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data

description: In many applications, smooth processes generate data that are recorded under a variety of observational regimes, including dense sampling and sparse or fragmented observations that are often contaminated with error. The statistical goal of registering and estimating the individual underlying functions from discrete observations has thus far been mainly approached sequentially without formal uncertainty propagation, or in an application-specific manner by pooling information across subjects. We propose a unified Bayesian framework for simultaneous registration and estimation, which is flexible enough to accommodate inference on individual functions under general observational regimes. Our ability to do this relies on the specification of strongly informative prior models over the amplitude component of function variability using two strategies: a data-driven approach that defines an empirical basis for the amplitude subspace based on training data, and a shape-restricted approach when the relative location and number of extrema is well-understood. The proposed methods build on the elastic functional data analysis framework to separately model amplitude and phase variability inherent in functional data. We emphasize the importance of uncertainty quantification and visualization of these two components as they provide complementary information about the estimated functions. We validate the proposed framework using multiple simulation studies and real applications.
DOI: 10.6084/m9.figshare.14107410.v2
title: Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse, and Fragmented Functional Data

description: In many applications, smooth processes generate data that are recorded under a variety of observational regimes, including dense sampling and sparse or fragmented observations that are often contaminated with error. The statistical goal of registering and estimating the individual underlying functions from discrete observations has thus far been mainly approached sequentially without formal uncertainty propagation, or in an application-specific manner by pooling information across subjects. We propose a unified Bayesian framework for simultaneous registration and estimation, which is flexible enough to accommodate inference on individual functions under general observational regimes. Our ability to do this relies on the specification of strongly informative prior models over the amplitude component of function variability using two strategies: a data-driven approach that defines an empirical basis for the amplitude subspace based on training data, and a shape-restricted approach when the relative location and number of extrema is well-understood. The proposed methods build on the elastic functional data analysis framework to separately model amplitude and phase variability inherent in functional data. We emphasize the importance of uncertainty quantification and visualization of these two components as they provide complementary information about the estimated functions. We validate the proposed framework using multiple simulation studies and real applications.
DOI: 10.6084/m9.figshare.14107410.v1
title: Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data

description: In many applications, smooth processes generate data that is recorded under a variety of observational regimes, including dense sampling and sparse or fragmented observations that are often contaminated with error. The statistical goal of registering and estimating the individual underlying functions from discrete observations has thus far been mainly approached sequentially without formal uncertainty propagation, or in an application-specific manner by pooling information across subjects. We propose a unified Bayesian framework for simultaneous registration and estimation, which is flexible enough to accommodate inference on individual functions under general observational regimes. Our ability to do this relies on the specification of strongly informative prior models over the amplitude component of function variability using two strategies: a data-driven approach that defines an empirical basis for the amplitude subspace based on training data, and a shape-restricted approach when the relative location and number of extrema is well-understood. The proposed methods build on the elastic functional data analysis framework to separately model amplitude and phase variability inherent in functional data. We emphasize the importance of uncertainty quantification and visualization of these two components as they provide complementary information about the estimated functions. We validate the proposed framework using multiple simulation studies and real applications.
DOI: 10.5517/ccdc.csd.cc26w8x9
title: CCDC 2052011: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Ayushi Singh, Suryabhan Singh, Gabriele Kociok-Köhn, Mohd. Muddassir, Abhinav Kumar|2021|CrystEngComm|23|2414|doi:10.1039/D0CE01867H
DOI: 10.5517/ccdc.csd.cc26w8yb
title: CCDC 2052012: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Ayushi Singh, Suryabhan Singh, Gabriele Kociok-Köhn, Mohd. Muddassir, Abhinav Kumar|2021|CrystEngComm|23|2414|doi:10.1039/D0CE01867H
DOI: 10.5517/ccdc.csd.cc26w8zc
title: CCDC 2052013: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Ayushi Singh, Suryabhan Singh, Gabriele Kociok-Köhn, Mohd. Muddassir, Abhinav Kumar|2021|CrystEngComm|23|2414|doi:10.1039/D0CE01867H
DOI: 10.5517/ccdc.csd.cc270f3t
title: CCDC 2055985: Experimental Crystal Structure Determination

description: Related Article: Zhi Long Ma, Meng Chen Wang, Jian Yun Shi, Li Tian|2021|CrystEngComm|23|2396|doi:10.1039/D1CE00064K
DOI: 10.5517/ccdc.csd.cc270f4v
title: CCDC 2055986: Experimental Crystal Structure Determination

description: Related Article: Zhi Long Ma, Meng Chen Wang, Jian Yun Shi, Li Tian|2021|CrystEngComm|23|2396|doi:10.1039/D1CE00064K
DOI: 10.5517/ccdc.csd.cc270f7y
title: CCDC 2055989: Experimental Crystal Structure Determination

description: Related Article: Zhi Long Ma, Meng Chen Wang, Jian Yun Shi, Li Tian|2021|CrystEngComm|23|2396|doi:10.1039/D1CE00064K
DOI: 10.5517/ccdc.csd.cc273ymy
title: CCDC 2059380: Experimental Crystal Structure Determination

description: Related Article: Xian-Feng Sun, Jing-Jing Chen, Dan Gao, Li-Na Zheng, Bin Liu, Bo Liu, Tao Ding|2021|CrystEngComm|23|2439|doi:10.1039/D1CE00180A
DOI: 10.5517/ccdc.csd.cc273ynz
title: CCDC 2059381: Experimental Crystal Structure Determination

description: Related Article: Xian-Feng Sun, Jing-Jing Chen, Dan Gao, Li-Na Zheng, Bin Liu, Bo Liu, Tao Ding|2021|CrystEngComm|23|2439|doi:10.1039/D1CE00180A
DOI: 10.5517/ccdc.csd.cc273yp0
title: CCDC 2059382: Experimental Crystal Structure Determination

description: Related Article: Xian-Feng Sun, Jing-Jing Chen, Dan Gao, Li-Na Zheng, Bin Liu, Bo Liu, Tao Ding|2021|CrystEngComm|23|2439|doi:10.1039/D1CE00180A
DOI: 10.6084/m9.figshare.14096681
title: Daily rainfall over NSW, Australia

description: This data dump contains modelled and observed daily rainfall data over NSW, Australia, spanning 1889 - 2014. Please see README.md for more information.
DOI: 10.6084/m9.figshare.14096681.v2
title: Daily rainfall over NSW, Australia

description: This data dump contains modelled and observed daily rainfall data over NSW, Australia, spanning 1889 - 2014. Please see README.md for more information.
DOI: 10.34622/datarepositorium/1jslnq/882j48
title: QuesFEB (Português-Alemão).pdf

description: Questionário Sociolinguístico Parental para Famílias Emigrantes Bilingues (Português-Alemão)