cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dd9z3
title: CCDC 2216375: Experimental Crystal Structure Determination

description: Related Article: Ankur, Deepti Sharma, Alex P. Andrews, Ajay Venugopal|2023|Dalton Trans.|52|1533|doi:10.1039/D3DT00018D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ddb05
title: CCDC 2216376: Experimental Crystal Structure Determination

description: Related Article: Ankur, Deepti Sharma, Alex P. Andrews, Ajay Venugopal|2023|Dalton Trans.|52|1533|doi:10.1039/D3DT00018D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ddxxn
title: CCDC 2216962: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Blagov, Nataliya G. Spitsyna, Nikolai S. Ovanesyan, Anatolii S. Lobach, Leokadiya V. Zorina, Sergey V. Simonov, Konstantin V. Zakharov, Alexander N. Vasiliev|2023|Dalton Trans.|52|1806|doi:10.1039/D2DT03630D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ddxwm
title: CCDC 2216961: Experimental Crystal Structure Determination

description: Related Article: Manuel Bardají, Mercè Font-Bardia, Albert Gallen, Beltzane Garcia-Cirera, Montserrat Ferrer, Manuel Martínez|2023|Dalton Trans.|52|1720|doi:10.1039/D2DT03790D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dh8t0
title: CCDC 2219222: Experimental Crystal Structure Determination

description: Related Article: Hua Chen, Anna S. Manvell, Mariusz Kubus, Maja A. Dunstan, Giulia Lorusso, David Gracia, Mike S. B. Jørgensen, Søren Kegnæs, Fabrice Wilhelm, Andrei Rogalev, Marco Evangelisti, Kasper S. Pedersen|2023|Chem.Commun.|59|1609|doi:10.1039/D2CC06224K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22043560
title: Products of Variables in Structural Equation Models

description: A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of variance due to the multiplicands. The result is a new category of SEM which we call a Products of Variables Model (PoV). Some useful and practical features of PoV models include the estimation of interactions between latent variables, latent variable moderators, manifest moderators with missing values, and manifest or latent squared terms. Expected means and covariances are analytically derived for a simple product of two variables and it is shown that the method reproduces previously published results for this special case. It is shown algebraically that using centered multiplicands results in an unidentified model, but if the multiplicands have non-zero means, the result is identified. The method has been implemented in OpenMx and Ωnyx and is applied in five extensive simulations.
DOI: 10.6084/m9.figshare.22043560.v1
title: Products of Variables in Structural Equation Models

description: A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of variance due to the multiplicands. The result is a new category of SEM which we call a Products of Variables Model (PoV). Some useful and practical features of PoV models include the estimation of interactions between latent variables, latent variable moderators, manifest moderators with missing values, and manifest or latent squared terms. Expected means and covariances are analytically derived for a simple product of two variables and it is shown that the method reproduces previously published results for this special case. It is shown algebraically that using centered multiplicands results in an unidentified model, but if the multiplicands have non-zero means, the result is identified. The method has been implemented in OpenMx and Ωnyx and is applied in five extensive simulations.
DOI: 10.5281/zenodo.7618733
title: Honerud exhibition list relating to crisis 2018-22

description: List of exhibitions relating to article in Routledge Open Research collection on Art and Crisis (Honerud & Honerud 2023)
DOI: 10.5281/zenodo.7618732
title: Honerud exhibition list relating to crisis 2018-22

description: List of exhibitions relating to article in Routledge Open Research collection on Art and Crisis (Honerud & Honerud 2023)
DOI: 10.48577/jpl.dkrnwr
title: On Frequency-Dependent Dispersion Measures and “Extreme Scattering Events”

description: Radio emission propagating over an Earth-pulsar line of sight provides a unique probe of the intervening ionized interstellar medium (ISM). Variations in the integrated electron column density along this line of sight, or dispersion measure (DM), have been observed since shortly after the discovery of pulsars. As early as 2006, frequency-dependent dispersion measures have been observed and attributed to several possible causes. Raypath averaging over different effective light-cone volumes through the turbulent ISM contributes to this effect as will DM misestimation due to radio propagation across compact lensing structures such as those caused by “extreme scattering events”. We present methods to assess the variations in frequency-dependent dispersion measures due to the turbulent ISM versus these compact lensing structures along the line of sight. We analyze recent Low-Frequency Array (LOFAR) observations of PSR J2219+4754 to test the underlying physical mechanism of the observed frequency-dependent DM. Previous analyses have indicated the presence of strong lensing due to compact overdensities halfway between the Earth and pulsar. Instead we find the frequency dependence of the DM timeseries for PSR J2219+4754 is consistent with being due solely to ISM turbulence and there is no evidence for any extreme scattering event or small-scale lensing structure. The data show possible deviations from a uniform turbulent medium, suggesting that there may be an enhanced scattering screen near one of the two ends of the line of sight. We present this analysis as an example of the power of low-frequency observations to distinguish the underlying mechanisms in frequency-dependent propagation effects.
DOI: 10.5281/zenodo.7618775
title: OFT

description: CSV with OFT data
DOI: 10.25773/8pr0-pp32
title:   The Middle Atlantic Outer Continental Shelf Environmental Studies: Data Files
DOI: 10.5281/zenodo.7618792
title: OFT

description: CSV with OFT data
DOI: 10.5281/zenodo.7618774
title: OFT

description: CSV with OFT data
DOI: 10.26093/cds/vizier.36470157
title: Stellar parameters of the EXPRESS sample

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'SPECIES II. Stellar parameters of the EXPRESS program giant star sample.' (bibcode: 2021A&A...647A.157S)
DOI: 10.48577/jpl.scchst
title: Time-walk and jitter correction in SNSPDs at high count rates

description: Superconducting nanowire single-photon detectors (SNSPDs) are a leading detector type for time correlated single photon counting, especially in the near-infrared. When operated at high count rates, SNSPDs exhibit increased timing jitter caused by internal device properties and features of the RF amplification chain. Variations in RF pulse height and shape lead to variations in the latency of timing measurements. To compensate for this, we demonstrate a calibration method that correlates delays in detection events with the time elapsed between pulses. The increase in jitter at high rates can be largely canceled out in software by applying corrections derived from the calibration process. We demonstrate our method with a single-pixel tungsten silicide SNSPD and show that it decreases high count rate jitter. The technique is especially effective at removing a long tail that appears in the instrument response function at high count rates. At a count rate of 11.4 MCounts/s we reduce the full width at one percent maximum level (FW1%M) by 45%. The method therefore enables certain quantum communication protocols that are rate-limited by the (FW1%M) metric to operate almost than twice as fast.
DOI: 10.5066/p92cpsvr
title: Wyoming statewide time-stamped oil and gas activity, 1900-2020

description: The Wyoming statewide time-stamped oil and gas wells shapefile was developed to provide a historical perspective of drilling activity for the Wyoming Landscape Conservation Initiative (WLCI). This product approximates start and stop dates for each well in Wyoming based on database attributes. These data originated from the Wyoming Oil and Gas Conservation Commission (WOGCC). Data represent 120 years of oil and gas drilling (1900 to 2020) and will facilitate a landscape-level approach to integrated science-based assessments, resource management, and land-use decision making. Oil and gas data from WOGCC were used in a dataset previously published by Biewick in 2010 (https://pubs.usgs.gov/ds/625/). This product expands the timeframe of drilling acitivity to 2020, compared to the earlier publication end date of 2010. We extended start and stop dates through 2020 and used a different process to extract start and stop information (detailed in the Process Description portion of Data Quality Information). We did not have access to last completion date (date of the last completion report filing) and did not include production information.
DOI: 10.5281/zenodo.7618789
title: Input data and analysis codes for "Reversal of trends in global fine particulate matter air pollution"

description: This dataset contains Input data and analysis codes used for the following article: Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J. Cohen, J. S. Apte, V. A. Southerland, S. C. Anenberg, M. Brauer, & R. V. Martin, Reversal of trends in global fine particulate matter air pollution, submitted, 2023. <strong>Input Data</strong> Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years) Concentration-response functions (GEMM and MRBRT) PM<sub>2.5</sub> exposure for 204 territories and 22 years Age-specific population for 204 territories and 22 years <strong>Derived Data</strong> Age- and disease-specific PM<sub>2.5</sub>-attributable Mortality estimates for 204 territories and 22 years. Sensitivity of PM<sub>2.5</sub>-attributable Mortality to marginal PM<sub>2.5</sub> reduction for 204 territories and 22 years. Attributable of changes in PM<sub>2.5</sub>-attributable Mortality (and its sensitivity to marginal PM<sub>2.5</sub> reduction) to four driving factors. <strong>Code</strong> Necessary python scripts to verify and replicate analysis results in the manuscript.
DOI: 10.5281/zenodo.7618788
title: Input data and analysis codes for "Reversal of trends in global fine particulate matter air pollution"

description: This dataset contains Input data and analysis codes used for the following article: Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J. Cohen, J. S. Apte, V. A. Southerland, S. C. Anenberg, M. Brauer, & R. V. Martin, Reversal of trends in global fine particulate matter air pollution, submitted, 2023. <strong>Input Data</strong> Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years) Concentration-response functions (GEMM and MRBRT) PM<sub>2.5</sub> exposure for 204 territories and 22 years Age-specific population for 204 territories and 22 years <strong>Derived Data</strong> Age- and disease-specific PM<sub>2.5</sub>-attributable Mortality estimates for 204 territories and 22 years. Sensitivity of PM<sub>2.5</sub>-attributable Mortality to marginal PM<sub>2.5</sub> reduction for 204 territories and 22 years. Attributable of changes in PM<sub>2.5</sub>-attributable Mortality (and its sensitivity to marginal PM<sub>2.5</sub> reduction) to four driving factors. <strong>Code</strong> Necessary python scripts to verify and replicate analysis results in the manuscript.
DOI: 10.17909/pf74-9n24
title: Lack of Bright Supernova Emission in the Brightest Gamma-ray Burst, GRB 221009A
DOI: 10.17909/k6mn-kp63
title: Pictor A Data for Quaver paper
DOI: 10.5281/zenodo.7618605
title: Condensed GCHP-CAM simulation output

description: Condensed output dataset from GCHP-CAM. This data was generated for the paper "Rapid estimation of climate-air quality interactions in integrated assessment using a response surface model", published in ACS Environmental Au in 2023. An analysis code which applies this dataset has the DOI 10.5281/zenodo.7618827. The full zip file contains five directories, one for each ensemble member (w10, w13...). For each ensemble member, there are 10 subdirectories, reflecting two different climate scenarios (pol3.7 and ref, for 3.7 W/m2 and 10 W/m2 of warming by 2100 respectively) and five different emissions perturbations (either no perturbation or a 10% reduction in NH3, NOx, SOX, or VOCs respectively). Each subdirectory contains a single file called "AQ_annual_2080.nc4". This file is a c24 output dataset with entries for 2080 to 2099.
DOI: 10.5281/zenodo.7618604
title: Condensed GCHP-CAM simulation output

description: Condensed output dataset from GCHP-CAM. This data was generated for the paper "Rapid estimation of climate-air quality interactions in integrated assessment using a response surface model", published in ACS Environmental Au in 2023. An analysis code which applies this dataset has the DOI 10.5281/zenodo.7618827. The full zip file contains five directories, one for each ensemble member (w10, w13...). For each ensemble member, there are 10 subdirectories, reflecting two different climate scenarios (pol3.7 and ref, for 3.7 W/m2 and 10 W/m2 of warming by 2100 respectively) and five different emissions perturbations (either no perturbation or a 10% reduction in NH3, NOx, SOX, or VOCs respectively). Each subdirectory contains a single file called "AQ_annual_2080.nc4". This file is a c24 output dataset with entries for 2080 to 2099.
DOI: 10.15785/sbgrid/990
title: X-Ray Diffraction data from Virulence-associated protein VapB from the intracellular pathogen Rhodococcus equi, source of 4CV7 structure

description: native data
description: The XDS.INP file generated by the beamline and the geometry correction files are given as templates in the zip archive "processing_template".
DOI: 10.5281/zenodo.7618777
title: Quantitative Assessment of the Impact of Future Land Use Changes on Flood Risk Using Remote Sensing, Machine Learning, and a Hydraulic Model

description: The RF Machine learning code Topological, geomorphology, geology, metrological information of the Tajan watershed. Land use land cover images of the Tajan watershed River, transportation roads, villages map Global damage function datasets.
DOI: 10.5281/zenodo.7618776
title: Quantitative Assessment of the Impact of Future Land Use Changes on Flood Risk Using Remote Sensing, Machine Learning, and a Hydraulic Model

description: The RF Machine learning code Topological, geomorphology, geology, metrological information of the Tajan watershed. Land use land cover images of the Tajan watershed River, transportation roads, villages map Global damage function datasets.
DOI: 10.18112/openneuro.ds004473.v1.0.0
title: sEEG Forced Two-Choice Task
DOI: 10.5281/zenodo.7577323
title: Supplementary Information Materials for the G-Cubed submission by Zakharov et al.

description: The supporting information is provided for the publication https://doi.org/10.1029/2022GC010741<em>. </em>The upload contains identification of MGL opal-CT as well as the results of the SIMS and EMPA measurements in cherts. This file also features δD values plotted against the triple O-isotope values of cherts. The Secondary Ion Probe Mass Spectrometry (SIMS) measurements are included as the .xslx table (Data Set S1) with analytical conditions, raw measurements and VSMOW-calibrated values. The Electron Microprobe (EMPA) analyses are provided in the .xslx file (Data Set S2). The Data Set S2 is separated by tabs for individual sample. Images feature the analyzed areas, including petrographic image, reflected light and the SIMS points.
DOI: 10.5281/zenodo.7577322
title: Supplementary Information Materials for the G-Cubed submission by Zakharov et al.

description: The supporting information is provided for the publication https://doi.org/10.1029/2022GC010741<em>. </em>The upload contains identification of MGL opal-CT as well as the results of the SIMS and EMPA measurements in cherts. This file also features δD values plotted against the triple O-isotope values of cherts. The Secondary Ion Probe Mass Spectrometry (SIMS) measurements are included as the .xslx table (Data Set S1) with analytical conditions, raw measurements and VSMOW-calibrated values. The Electron Microprobe (EMPA) analyses are provided in the .xslx file (Data Set S2). The Data Set S2 is separated by tabs for individual sample. Images feature the analyzed areas, including petrographic image, reflected light and the SIMS points.
DOI: 10.5517/ccdc.csd.cc276v5h
title: CCDC 2062156: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Muge Shele, Agula Bao, Yong-Sheng Bao, Menghe Baiyin|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc276v7k
title: CCDC 2062158: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Muge Shele, Agula Bao, Yong-Sheng Bao, Menghe Baiyin|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc277zr7
title: CCDC 2063259: Experimental Crystal Structure Determination

description: Related Article: Jitan Zhang, Yu-Hang Li, Peng-Peng Sun, Yue Zhang, Meihua Xie, Jiaping Wu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27770r
title: CCDC 2062523: Experimental Crystal Structure Determination

description: Related Article: Yoichi Hoshimoto|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27772t
title: CCDC 2062525: Experimental Crystal Structure Determination

description: Related Article: Yoichi Hoshimoto|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27771s
title: CCDC 2062524: Experimental Crystal Structure Determination

description: Related Article: Yoichi Hoshimoto|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27773v
title: CCDC 2062526: Experimental Crystal Structure Determination

description: Related Article: Yoichi Hoshimoto|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27774w
title: CCDC 2062527: Experimental Crystal Structure Determination

description: Related Article: Yoichi Hoshimoto|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27ksk5
title: CCDC 2072677: Experimental Crystal Structure Determination

description: Related Article: Ying Cheng and Shuang-Shuo Niu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27tbp3
title: CCDC 2079935: Experimental Crystal Structure Determination

description: Related Article: Nadia Albano, Giorgio Baggi, Stephen Loeb|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.