cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7877360
title: The Legacy Environmental Footprints of Manufactured Capital

description: To enhance the clarity and coherence of the statement, you may consider revising it as follows: By utilizing the data and Matlab scripts made available here, one can produce all the visual components featured in the article entitled "The Legacy Environmental Footprint of Manufactured Capital." This comprehensive work is the result of collaborative research among various distinguished scholars and prestigious institutions, namely: Ranran Wang<sup>1*</sup>, Edgar G. Hertwich<sup>2*</sup>, Tomer Fishman<sup>1</sup>, Sebastiaan Deetman<sup>1</sup>, Paul Behrens<sup>1</sup>, Wei-qiang Chen<sup>3</sup>, Arjan de Koning<sup>1</sup>, Ming Xu<sup>4</sup>, Kira Matus<sup>5</sup>, Hauke Ward<sup>1</sup>, Arnold Tukker<sup>1</sup>, Julie B. Zimmerman<sup>6</sup> <sup>1</sup>Institute of Environmental Sciences (CML), Leiden University; Leiden, The Netherlands. <sup>2</sup>Department of Energy and Process Engineering, Norwegian University of Science and Technology; Trondheim, Norway. <sup>3</sup>Institute of Urban Environment, Chinese Academy of Sciences; Xiamen, China. <sup>4</sup>School of Environment, Tsinghua University; Beijing, China. <sup>5</sup>Division of Public Policy, Hongkong University of Science and Technology; Hong Kong, China. <sup>6</sup>School of the Environment, Yale University; New Haven, United States. Here is the Abstract of the article: The foundations of today's societies are provided by manufactured capital accumulation driven by investment decisions through time. Reconceiving how the manufactured assets are harnessed in the production-consumption system is at the heart of the paradigm shifts necessary for long-term sustainability. Our research integrates 50 years of economic and environmental data to provide the global legacy environmental footprint (LEF) and unveil the historical materials extractions, greenhouse gas (GHG) emissions, and health impacts accrued in today's manufactured capital. We show that between 1995-2019, global LEF growth outpaced GDP and population growth, and the current high level of national capital stocks has been heavily relying on global supply chains in metals. The LEF shows a larger or growing gap between developed and less-developed economies while economic returns from global asset supply chains disproportionately flow to developed economies, resulting in a double burden for less-developed economies. Our results show ensuring best-practice in asset production while prioritizing wellbeing outcomes is essential in addressing global inequalities and protecting the environment. Achieving this requires a paradigm shift in sustainability science and policy, as well as in green finance decision-making, to move beyond the focus on the resource use and emissions of daily operations of the assets and instead take into account the long-term environmental footprints of capital accumulation.
DOI: 10.5281/zenodo.7851399
title: Haptics and Targeted Box and Blocks Data for Evaluating Reach and Grasp Segmentation Methods

description: Data associated with <em>Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks. </em>Pre-print available at: https://doi.org/10.36227/techrxiv.22672312.v1 Code associated with these data available at kjacks21/UE-reach-grasp-seg: Segmenting reach and grasp phases of reaching motions (github.com). Data include kinematics from performing a task in a haptics virtual environment and optical motion capture of participants completing the targeted Box and Blocks test. Please reference the paper for additional information. For questions, please contact kjacks21 [at] gmu [dot] edu or zduric [at] gmu [dot] edu.
DOI: 10.5281/zenodo.7851398
title: Haptics and Targeted Box and Blocks Data for Evaluating Reach and Grasp Segmentation Methods

description: Data associated with <em>Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks. </em>Pre-print available at: https://doi.org/10.36227/techrxiv.22672312.v1 Code associated with these data available at kjacks21/UE-reach-grasp-seg: Segmenting reach and grasp phases of reaching motions (github.com). Data include kinematics from performing a task in a haptics virtual environment and optical motion capture of participants completing the targeted Box and Blocks test. Please reference the paper for additional information. For questions, please contact kjacks21 [at] gmu [dot] edu or zduric [at] gmu [dot] edu.
DOI: 10.5281/zenodo.7877433
title: Data - Reflective Portfolios analysis

description: Data analysis of Reflective portfolios.
DOI: 10.5281/zenodo.7877432
title: Data - Reflective Portfolios analysis

description: Data analysis of Reflective portfolios.
DOI: 10.5281/zenodo.7876356
title: Catálogo GOLDEN-ROM

description: Catálogo de referencias a romances en la literatura española de los siglos XV, XVI y XVII elaborado en el marco del proyecto <em>The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature</em> (GOLDEN-Rom).
DOI: 10.5281/zenodo.7876355
title: Catálogo GOLDEN-ROM

description: Catálogo de referencias a romances en la literatura española de los siglos XV, XVI y XVII elaborado en el marco del proyecto <em>The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature</em> (GOLDEN-Rom). Catalog of references to romances in Spanish literature from the 15th, 16th, and 17th centuries, developed within the framework of the project "The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature" (GOLDEN-Rom).
DOI: 10.5281/zenodo.7876404
title: Catálogo GOLDEN-ROM

description: Catálogo de referencias a romances en la literatura española de los siglos XV, XVI y XVII elaborado en el marco del proyecto <em>The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature</em> (GOLDEN-Rom). Catalog of references to romances in Spanish literature from the 15th, 16th, and 17th centuries, developed within the framework of the project "The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature" (GOLDEN-Rom).
DOI: 10.5281/zenodo.7876423
title: Catálogo GOLDEN-ROM

description: Catálogo de referencias a romances en la literatura española de los siglos XV, XVI y XVII elaborado en el marco del proyecto <em>The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature</em> (GOLDEN-Rom). Catalog of references to romances in Spanish literature from the 15th, 16th, and 17th centuries, developed within the framework of the project "The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature" (GOLDEN-Rom).
DOI: 10.5281/zenodo.7877444
title: Catálogo GOLDEN-ROM

description: Catálogo de referencias a romances en la literatura española de los siglos XV, XVI y XVII elaborado en el marco del proyecto <em>The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature</em> (GOLDEN-Rom). Catalog of references to romances in Spanish literature from the 15th, 16th, and 17th centuries, developed within the framework of the project "The Golden Age of the Romancero: Echoes of Traditional Ballads in Medieval and Early Modern Spanish Literature" (GOLDEN-Rom).
DOI: 10.5281/zenodo.7869108
title: St. Jude Lifetime Study Cohort variables of determinants of health-related quality-of-life in adult survivors of childhood cancer

description: The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of determinants of utility-based health-related quality-of-life in adult survivors of childhood cancer reported in Horan et al., 2023 (DOI:https://doi.org/10.1016/j.eclinm.2023.101921). Please cite the appropriate publications (this repository and corresponding publication above) in any communications or publications arising directly or indirectly from these data. <strong>Funding:</strong> The research reported in the manuscript was supported by the U.S. National Cancer Institute under award numbers U01CA195547 (Hudson/Ness), R01CA238368 (Huang/Baker), R01CA258193 (Huang/Yasui), R01CA270157 (Bhakta/Yasui), and T32CA225590 (Krull). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.
DOI: 10.5281/zenodo.7869107
title: St. Jude Lifetime Study Cohort variables of determinants of health-related quality-of-life in adult survivors of childhood cancer

description: The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of determinants of utility-based health-related quality-of-life in adult survivors of childhood cancer reported in Horan et al., 2023 (DOI:https://doi.org/10.1016/j.eclinm.2023.101921). Please cite the appropriate publications (this repository and corresponding publication above) in any communications or publications arising directly or indirectly from these data. <strong>Funding:</strong> The research reported in the manuscript was supported by the U.S. National Cancer Institute under award numbers U01CA195547 (Hudson/Ness), R01CA238368 (Huang/Baker), R01CA258193 (Huang/Yasui), R01CA270157 (Bhakta/Yasui), and T32CA225590 (Krull). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.
DOI: 10.6084/m9.figshare.22720519
title: Monthly Gold&Inflation 2011 to 2022.xlsx

description: Monthly data on prices of SJC and 9999 gold as well as CPI in
DOI: 10.6084/m9.figshare.21317530
title: Deep Gaussian Process Emulation using Stochastic Imputation

description: Deep Gaussian processes (DGPs) provide a rich class of models that can better represent functions with varying regimes or sharp changes, compared to conventional GPs. In this work, we propose a novel inference method for DGPs for computer model emulation. By stochastically imputing the latent layers, our approach transforms a DGP into a linked GP: a novel emulator developed for systems of linked computer models. This transformation permits an efficient DGP training procedure that only involves optimizations of conventional GPs. In addition, predictions from DGP emulators can be made in a fast and analytically tractable manner by naturally using the closed form predictive means and variances of linked GP emulators. We demonstrate the method in a series of synthetic examples and empirical applications, and show that it is a competitive candidate for DGP surrogate inference, combining efficiency that is comparable to doubly stochastic variational inference and uncertainty quantification that is comparable to the fully-Bayesian approach. A Python package dgpsi implementing the method is also produced and available at https://github.com/mingdeyu/DGP.
DOI: 10.6084/m9.figshare.21317530.v1
title: Deep Gaussian Process Emulation using Stochastic Imputation

description: Deep Gaussian processes (DGPs) provide a rich class of models that can better represent functions with varying regimes or sharp changes, compared to conventional GPs. In this work, we propose a novel inference method for DGPs for computer model emulation. By stochastically imputing the latent layers, our approach transforms a DGP into a linked GP: a novel emulator developed for systems of linked computer models. This transformation permits an efficient DGP training procedure that only involves optimizations of conventional GPs. In addition, predictions from DGP emulators can be made in a fast and analytically tractable manner by naturally using the closed form predictive means and variances of linked GP emulators. We demonstrate the method in a series of synthetic examples and empirical applications, and show that it is a competitive candidate for DGP surrogate inference, combining efficiency that is comparable to doubly stochastic variational inference and uncertainty quantification that is comparable to the fully-Bayesian approach. A Python package dgpsi implementing the method is also produced and available at https://github.com/mingdeyu/DGP.
DOI: 10.6084/m9.figshare.21574495
title: Dynamic Mixture of Experts Models for Online Prediction

description: A mixture of experts models the conditional density of a response variable using a mixture of regression models with covariate-dependent mixture weights. We extend the finite mixture of experts model by allowing the parameters in both the mixture components and the weights to evolve in time by following random walk processes. Inference for time-varying parameters in richly parameterized mixture of experts models is challenging. We propose a sequential Monte Carlo algorithm for online inference based on a tailored proposal distribution built on ideas from linear Bayes methods and the EM algorithm. The method gives a unified treatment for mixtures with time-varying parameters, including the special case of static parameters. We assess the properties of the method on simulated data and on industrial data where the aim is to predict software faults in a continuously upgraded large-scale software project.
DOI: 10.6084/m9.figshare.21574495.v1
title: Dynamic Mixture of Experts Models for Online Prediction

description: A mixture of experts models the conditional density of a response variable using a mixture of regression models with covariate-dependent mixture weights. We extend the finite mixture of experts model by allowing the parameters in both the mixture components and the weights to evolve in time by following random walk processes. Inference for time-varying parameters in richly parameterized mixture of experts models is challenging. We propose a sequential Monte Carlo algorithm for online inference based on a tailored proposal distribution built on ideas from linear Bayes methods and the EM algorithm. The method gives a unified treatment for mixtures with time-varying parameters, including the special case of static parameters. We assess the properties of the method on simulated data and on industrial data where the aim is to predict software faults in a continuously upgraded large-scale software project.
DOI: 10.34740/kaggle/dsv/5551775
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.5281/zenodo.7877486
title: Cascadia Subduction Zone Fault Heterogeneities from Newly Detected Small Earthquakes - Datasets

description: Datasets associated with manuscript "Cascadia Subduction Zone Fault Heterogeneities from Newly Detected Small Earthquakes" by Morton et al. (2023), submitted to the <em>Journal of Geophysical Research: Solid Earth</em>. Three datasets are present in this upload: <strong>ds01.xlsx</strong>: Catalog of 5,282 detected earthquakes along the Cascadia subduction margin, ordered by time. Events were located using Hypoinverse (Klein, 2002). Columns of the catalog are: Cascadia Initiative deployment year, Origin Time String (YYYYMMDDhhmmss), Origin Time (Year, Month, Day, Hour, Minute, Second), Latitude, Longitude, Event Depth (km), Duration Magnitude (Md), Number of P and S arrival picks with weights &gt; 0.1, Maximum Azimuthal Gap (deg.), Distance to the Nearest Station (km), Travel Time Residual RMS (s), Horizontal Location Error (ERH; km), Vertical Location Error (ERZ; km), Focal Mechanism if applicable (Strike, Dip, Rake; deg.), Plate Designation (Slab, Interface, or Upper Plate), and Previous Existence in Regional Catalogs. Duration magnitudes that could not be constrained are listed as -9. Detected earthquakes that had previously been reported in other catalogs are listed as "Catalog" or "Stone" form the regional or Stone et al. (2018) catalogs, respectively; Those used as template events are marked as "T" or "ST", for those from regional catalogs or the Stone et al. (2018) catalog, respectively, in the last column. <strong>ds02.xlsx</strong>: Table of earthquakes chosen as template events for subspace scanning from regional (NEIC, ANF, PNSN, CNDC) and Stone et al. (2018) catalogs. Columns of the template event table are: Catalog Source (T for regional, ST for Stone et al. 2018), Cascadia Initiative (CI) Deployment Year, Template Cluster ID, Date, Time (UTC), Catalog Location (Latitude, Longitude, Depth), Catalog Magnitude, and Whether the Template Event was Detected. Some of the templates were detected but were not included in the final catalog because the travel time residual RMS was greater than 1s and are noted in the table as "poorly located". <strong>ds03.xlsx</strong>: Table of seismic stations used in subspace detection scanning, identified by the CI deployment year, Template Cluster ID, Station SEED, and Network Codes. Stations are listed with the corresponding high-pass (HP) or band-pass (BP) filter applied before scanning to maximize the signal-to-noise ratio. References Klein, F. W. (2002). <em>User’s Guide to HYPOINVERSE-2000, a Fortran Program to Solve for Earthquake Locations and Magnitudes</em> (Open File Report 02-171). U.S Geological Survey. https://doi.org/10.3133/ofr02171 Stone, I., Vidale, J. E., Han, S., & Roland, E. (2018). Catalog of off-shore seismicity in Cascadia: Insights into the regional distribution of microseismicity and its relation to subduction processes. <em>Journal of Geophysical Research: Solid Earth, 123</em>, 1–12. https://doi.org/10.1002/2017JB014966
DOI: 10.6084/m9.figshare.22720564
title: PubMed-DOI identifier mappings for BridgeDb 3.0

description: Identifier mappings database for articles cited by WikiPathways and Reactome, downloaded from Wikidata, with mappings to DOI, PubMed, and PubMed Central.
DOI: 10.5281/zenodo.7877544
title: SMART-electron Logo

description: SMART-electron Logo in different image formats and colour palettes.
DOI: 10.5281/zenodo.7877543
title: SMART-electron Logo

description: SMART-electron Logo in different image formats and colour palettes.
DOI: 10.22003/xfel.eu-data-003331-00
title: Excitation of Magnetic Domains in Sr2IrO4
DOI: 10.22003/xfel.eu-data-003381-00
title: Ultrafast strain from spin and lattice dynamics in Strontium Ruthenate
DOI: 10.22003/xfel.eu-data-003338-00
title: Probing the structural dynamics of water using femtosecond X-ray solution scattering
DOI: 10.22003/xfel.eu-data-003463-00
title: Revealing the post-nucleation growth dynamics of ultrafast laser-induced topological magnetic phase transitions
DOI: 10.22003/xfel.eu-data-004856-00
title: MEASUREMENT OF THE INTERDIFFUSION AND ALLOYING OF BIMETALLIC CORE-SHELL PARTICLES DURING SINGLE PULSE FEMTO SECOND LASER-INDUCED HEATING
DOI: 10.5281/zenodo.7877553
title: SMART-electron Poster & Rollup

description: SMART-electron Poster and SMART-electron Rollup in the black-and-white palette.
DOI: 10.5281/zenodo.7877552
title: SMART-electron Poster & Rollup

description: SMART-electron Poster and SMART-electron Rollup in the black-and-white palette.
DOI: 10.5281/zenodo.7828796
title: Swiss Smart Meter Data - CKW 2021/2022 - anonymized individual metering points

description: Cleaned Swiss smart meter data based on a collection from CKW AG (see opendata.ckw.ch) Duration: 2 years (1. Jan 2021 - 31. Dec 2022, CET timestamp) Location: Canton Lucerne, Switzerland Interval: 15 minutes Values: Active Energy (kWh) Meters in each year: 4959 (see filtered_IDs.csv for all IDs) The original dataset has been filtered based on missing data This means, all 4959 meters have consumption and reported values over the full duration of 2 years.<br> Files are available as space-saving parquet files per day in year. Number in filename is number of day within the year.<br> <br> Summary.zip contains summary statistics over all 112148 (unfiltered) meters counting observations (including duplicates) , and aggregating energy data (per month, and or hourly data), see overview.csv within summary.zip
description: Source: opendata.ckw.ch
description: {"references": ["opendata.ckw.ch"]}
DOI: 10.5281/zenodo.7828795
title: Swiss Smart Meter Data - CKW 2021/2022 - anonymized individual metering points

description: Cleaned Swiss smart meter data based on a collection from CKW AG (see opendata.ckw.ch) Duration: 2 years (1. Jan 2021 - 31. Dec 2022, CET timestamp) Location: Canton Lucerne, Switzerland Interval: 15 minutes Values: Active Energy (kWh) Meters in each year: 4959 (see filtered_IDs.csv for all IDs) The original dataset has been filtered based on missing data This means, all 4959 meters have consumption and reported values over the full duration of 2 years.<br> Files are available as space-saving parquet files per day in year. Number in filename is number of day within the year.<br> <br> Summary.zip contains summary statistics over all 112148 (unfiltered) meters counting observations (including duplicates) , and aggregating energy data (per month, and or hourly data), see overview.csv within summary.zip
description: Source: opendata.ckw.ch
description: {"references": ["opendata.ckw.ch"]}
DOI: 10.7924/r4wm1g15c
title: Data from: Linear scaling calculations of excitation energies with active-space particle-particle random phase approximation

description: We developed an efficient active-space particle-particle random phase approximation (ppRPA) approach to calculate accurate charge-neutral excitation energies of molecular systems. The active-space ppRPA approach constrains both indexes in particle and hole pairs in the ppRPA matrix, which only selects frontier orbitals with dominant contributions to low-lying excitation energies. It employs truncation in both orbital indexes in the particle-particle and the hole-hole space. The resulting matrix, the eigenvalues of which are excitation energies, has a dimension that is independent of the size of the systems. The computational effort for the excitation energy calculation, therefore, scales linearly with system size, beyond the ground state calculation of (N-2)-electron system, where N is the electron number of the molecule. With the active space consisting of 30 occupied and 30 virtual orbitals, the active-space ppRPA approach predicts excitation energies of valence, charge-transfer, Rydberg, double and diradical excitations with the mean absolute errors (MAEs) smaller than 0.03 eV compared with the full-space ppRPA results. As a side product, we also applied the active-space ppRPA approach in the renormalized singles (RS) T-matrix approach. Combining the non-interacting pair approximation that approximates the contribution to the self-energy outside the active space, the active-space GRSTRS@PBE approach predicts accurate absolute and relative core-level binding energies with the MAE around 1.58 eV and 0.3 eV, respectively. The developed linear scaling calculation of excitation energies is promising for applications to large and complex systems.
DOI: 10.5281/zenodo.7863833
title: Dataset of "Single-Pixel Imaging in Space and Time with Optically Modulated Free Electrons"

description: This dataset contains the simulated spatial images and temporal profiles reconstructed using the Electron Single-Pixel Imaging where free-electrons are shaped by light pulses. The reconstruction is performed using two different basis (Hadamard and Fourier) and for three different light frequency cutoffs. Some of these data and images are published in https://doi.org/10.1021/acsphotonics.3c00047.
DOI: 10.5281/zenodo.7863832
title: Dataset of "Single-Pixel Imaging in Space and Time with Optically Modulated Free Electrons"

description: This dataset contains the simulated spatial images and temporal profiles reconstructed using the Electron Single-Pixel Imaging where free-electrons are shaped by light pulses. The reconstruction is performed using two different basis (Hadamard and Fourier) and for three different light frequency cutoffs. Some of these data and images are published in https://doi.org/10.1021/acsphotonics.3c00047.