cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7958093
title: Copernicus High Resolution Vegetation Phenology and Productivity for Doñana Natural Space

description: GeoTIFF rasters with the following phenometrics obtained from Sentinel 2 Data:. * Start of the season Day of the Year (SOSD) * Maximun of the Season Day of the Year (MAXD) * End of the Season Day of the Year (EOSD) * Start of the season Value (SOSV) * Maximun of the Season Value (MAXV) * End of the Season Value (EOSV) These rasters have been downloaded, mosaicked and croped with Doñana Natural Space DEIMS.ID through Pyvpp python package.
description: Este trabajo se financia gracias al proyecto eLTER Plus (INFRAIA, Horizonte 2020, Agreement No 871128) y a través de las actuaciones FEDER [SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020] por el Ministerio de Ciencia, Innovación y Universidades, Subtarea LWE2103022: Integration into VRE.
DOI: 10.5281/zenodo.7958092
title: Copernicus High Resolution Vegetation Phenology and Productivity for Doñana Natural Space

description: GeoTIFF rasters with the following phenometrics obtained from Sentinel 2 Data:. * Start of the season Day of the Year (SOSD) * Maximun of the Season Day of the Year (MAXD) * End of the Season Day of the Year (EOSD) * Start of the season Value (SOSV) * Maximun of the Season Value (MAXV) * End of the Season Value (EOSV) These rasters have been downloaded, mosaicked and croped with Doñana Natural Space DEIMS.ID through Pyvpp python package.
description: Este trabajo se financia gracias al proyecto eLTER Plus (INFRAIA, Horizonte 2020, Agreement No 871128) y a través de las actuaciones FEDER [SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020] por el Ministerio de Ciencia, Innovación y Universidades, Subtarea LWE2103022: Integration into VRE.
DOI: 10.5281/zenodo.7943012
title: Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework

description: Input files, data files and scripts to replicate results in "Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework" (Jambunathan et el.) Please direct any questions to the corresponding author, Revathi Jambunathan (rjambunathan [at] lbl.gov) Artemis simulations were run using the development branch of artemis https://github.com/ECP-WarpX/artemis Some simulations in this paper were performed with different commit hashes of artemis and amrex, however, the input files should still work with the most recent development branch of artemis. In the attached tar file, the input files, data, and scripts used to analyse simulation results shown in Figures 1, 2, 3, 4, and 6 of the paper are provided. To run the simulations on perlmutter GPUs, the code is compiled with USE_GPU=TRUE and USE_LLG=FALSE
DOI: 10.5281/zenodo.7943011
title: Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework

description: Input files, data files and scripts to replicate results in "Two-fluid Physical Modeling of Superconducting Resonators in the ARTEMIS Framework" (Jambunathan et el.) Please direct any questions to the corresponding author, Revathi Jambunathan (rjambunathan [at] lbl.gov) Artemis simulations were run using the development branch of artemis https://github.com/ECP-WarpX/artemis Some simulations in this paper were performed with different commit hashes of artemis and amrex, however, the input files should still work with the most recent development branch of artemis. In the attached tar file, the input files, data, and scripts used to analyse simulation results shown in Figures 1, 2, 3, 4, and 6 of the paper are provided. To run the simulations on perlmutter GPUs, the code is compiled with USE_GPU=TRUE and USE_LLG=FALSE
DOI: 10.6084/m9.figshare.21175129.v2
title: Chimpanzees and Bonobos Reinstate an Interrupted Triadic Game

description: When humans engage in joint action, they do so with an underlying sense of joint commitment, a feeling of mutual obligation towards their partner and a shared goal. Whether our closest living relatives, the great apes, experience and understand joint actions in the same way is subject to debate. Crucial evidence concerns how participants respond to interruptions of joint actions, particularly if they protest or attempt to reengage their reluctant or distracted partners. During dyadic interactions, great apes appear to have some sense of joint commitment, according to recent studies. Yet data are inconsistent for triadic games with objects. We addressed this issue by engaging <em>N</em>=23 apes (5 adult chimpanzees, 5 infant bonobos, 13 adult bonobos) in a “tug-of-war” game with a human experimenter who abruptly stopped playing. Adult apes readily attempted to reengage the experimenter, with no species differences. Older bonobos exhibited more reengagement attempts, including more game-related behaviours, than younger bonobos, which might explain negative results of earlier research. Great apes may thus have motivational foundations for joint commitment experienced by humans, although this capacity might develop only later in life. We discuss this finding in relation to evolutionary and developmental theories on joint commitment.
DOI: 10.6084/m9.figshare.21175129.v3
title: Chimpanzees and bonobos reinstate an interrupted triadic game

description: When humans engage in joint action, they do so with an underlying sense of joint commitment, a feeling of mutual obligation towards their partner and a shared goal. Whether our closest living relatives, the great apes, experience and understand joint actions in the same way is subject to debate. Crucial evidence concerns how participants respond to interruptions of joint actions, particularly if they protest or attempt to reengage their reluctant or distracted partners. During dyadic interactions, great apes appear to have some sense of joint commitment, according to recent studies. Yet data are inconsistent for triadic games with objects. We addressed this issue by engaging <em>N</em>=23 apes (5 adult chimpanzees, 5 infant bonobos, 13 adult bonobos) in a “tug-of-war” game with a human experimenter who abruptly stopped playing. Adult apes readily attempted to reengage the experimenter, with no species differences. Older bonobos exhibited more reengagement attempts, including more game-related behaviours, than younger bonobos, which might explain negative results of earlier research. Great apes may thus have motivational foundations for joint commitment experienced by humans, although this capacity might develop only later in life. We discuss this finding in relation to evolutionary and developmental theories on joint commitment.
DOI: 10.3886/e185843
title: Data and Code for: Does Monetary Policy Matter? The Narrative Approach after 35 Years

description: The narrative approach to macroeconomic identification uses qualitative sources, such as newspapers or government records, to provide information that can help establish causal relationships. This paper discusses the requirements for rigorous narrative analysis using fresh research on the impact of monetary policy as the focal application. We read the historical minutes and transcripts of Federal Reserve policymaking meetings to identify significant contractionary and expansionary changes in monetary policy not taken in response to current or prospective developments in real activity for the period 1946 to 2016. We find that such monetary shocks have large and significant effects on unemployment, output, and inflation in the expected directions. Analysis of available policy records suggests that a contractionary monetary shock likely occurred in 2022. Based on the empirical estimates of the effect of previous shocks, one would expect substantial negative impacts on real GDP and inflation in 2023 and 2024. <br><br><br><br><br>
DOI: 10.3886/e185843v1
title: Data and Code for: Does Monetary Policy Matter? The Narrative Approach after 35 Years

description: The narrative approach to macroeconomic identification uses qualitative sources, such as newspapers or government records, to provide information that can help establish causal relationships. This paper discusses the requirements for rigorous narrative analysis using fresh research on the impact of monetary policy as the focal application. We read the historical minutes and transcripts of Federal Reserve policymaking meetings to identify significant contractionary and expansionary changes in monetary policy not taken in response to current or prospective developments in real activity for the period 1946 to 2016. We find that such monetary shocks have large and significant effects on unemployment, output, and inflation in the expected directions. Analysis of available policy records suggests that a contractionary monetary shock likely occurred in 2022. Based on the empirical estimates of the effect of previous shocks, one would expect substantial negative impacts on real GDP and inflation in 2023 and 2024. <br><br><br><br><br>
DOI: 10.21227/0cp6-q024
title: SE-DO Framework

description: The rapid growth of interconnected IoT devices has introduced complexities in their monitoring and management. Autonomous and intelligent management systems are essential for addressing these challenges and achieving self-healing, self-configuring, and self-managing networks. Intelligent agents have emerged as a powerful solution for autonomous network design, but their dynamic and intelligent management requires processing large volumes of data for training network function agents. This poses significant challenges for resource-constrained environments like IoT devices, which have limited computational power, network bandwidth, and power consumption capabilities.In this paper, we propose a scalable and comprehensive approach called Scalable and Efficient DevOps (SE-DO) to optimize the performance of intelligent agents in resource-constrained environments using a multi-agent system architecture. Our approach leverages a multi-agent-based service design that enables both reactive responses and proactive anticipation and reconfiguration of the network system to meet dynamic requirements. This approach is particularly suitable for next-generation networks like 6G, which demand highly efficient and reliable solutions to support emerging services and applications.To demonstrate the effectiveness of our approach, we implement a multi-agent system comprising a data collector agent, a data analytics/preprocessing agent, a data training agent, and a data predictor agent. We analyze the impact of different machine learning models, including ANN, CNN, and RNN, on each agent's performance while considering resource constraints in both micro-service and agent-based approaches. Through experiments on real-world data, our proposed architecture achieves high accuracy and efficiency within the limitations of resource-constrained environments
DOI: 10.3886/e184041
title: Data and code for: The Common-Probability Auction Puzzle

description: This paper presents a puzzle of the behavior of experimental subjects in what we call common-probability auctions. In common-value auctions, uncertainty is defined over values, while in common-probability auctions, uncertainty is defined over probabilities. We find that in contrast to the substantial overbidding found in common-value auctions, bidding in strategically equivalent common-probability auctions is consistent with Nash equilibrium. In order to explain our results, we run treatments to identify whether our observed difference stems from the way our subjects estimate the value of the object they are bidding for in a competitive environment rather than the way they bid conditional on these valuations. We conclude it is the former.
description: students at New York University.
DOI: 10.3886/e120003
title: Data and Code for: When Losses Turn Into Loans: The Cost of Weak Banks

description: We provide evidence that banks distort the composition of credit supply in order to comply with ratio-based capital requirements in times of economic distress. An unexpected intervention by the European Banking Authority provides a natural experiment to study how banks respond to falling below minimum required capital ratios during an economic downturn. We show that affected banks respond by cutting lending but also by reallocating credit to distressed firms with underreported loan losses. We develop a method to detect underreported losses using loan-level data. The credit reallocation leads to a reallocation of inputs across firms. We calculate that the resulting increase in input misallocation accounts for about 13% of the decline in productivity in Portugal in 2012.
description: No weight are used. <br>
description: Response Rates: Administrative records.<br>
description: Presence of Common Scales: Not applicable.<br>
description: Administrative records. No sampling.<br>
description: Portuguese administrative data. Smallest Geographic Unit: country
description: other;
DOI: 10.3886/e120003v1
title: Data and Code for: When Losses Turn Into Loans: The Cost of Weak Banks

description: We provide evidence that banks distort the composition of credit supply in order to comply with ratio-based capital requirements in times of economic distress. An unexpected intervention by the European Banking Authority provides a natural experiment to study how banks respond to falling below minimum required capital ratios during an economic downturn. We show that affected banks respond by cutting lending but also by reallocating credit to distressed firms with underreported loan losses. We develop a method to detect underreported losses using loan-level data. The credit reallocation leads to a reallocation of inputs across firms. We calculate that the resulting increase in input misallocation accounts for about 13% of the decline in productivity in Portugal in 2012.
description: No weight are used. <br>
description: Response Rates: Administrative records.<br>
description: Presence of Common Scales: Not applicable.<br>
description: Administrative records. No sampling.<br>
description: Portuguese administrative data. Smallest Geographic Unit: country
description: other;
DOI: 10.5281/zenodo.7553271
title: Higgs to diphoton channel at least 2 jet datasets

description: Datasets of Higgs decay to diphoton with the requirement of at least two jets contained in the events. Events are generated with either Powheg or MadGraph at particle level, then processed with Pythia for parton showering and Delphes for detector simulation. All samples contain ggF Higgs events with at least 2 jets. processed_madgraph_2j_1.0_1000000.npz is the MadGraph sample with the nominal value of photon detector resolution. processed_madgraph_2j_1.2_1000000.npz is the MadGraph sample with the photon detector resolution scaled by a factor of 1.2 (worse resolution). processed_powheg_2j_1.2_200000.npz is the Powheg sample with the photon detector resolution scaled by a factor of 1.2. processed_madgraph_2j_syst_1000000.npz is the MadGraph sample with the photon detector resolution uniformly varied from the nominal value by the factor in the range (0.5, 1.5).
DOI: 10.5281/zenodo.7553270
title: Higgs to diphoton channel at least 2 jet datasets

description: Datasets of Higgs decay to diphoton with the requirement of at least two jets contained in the events. Events are generated with either Powheg or MadGraph at particle level, then processed with Pythia for parton showering and Delphes for detector simulation. All samples contain ggF Higgs events with at least 2 jets. processed_madgraph_2j_1.0_1000000.npz is the MadGraph sample with the nominal value of photon detector resolution. processed_madgraph_2j_1.2_1000000.npz is the MadGraph sample with the photon detector resolution scaled by a factor of 1.2 (worse resolution). processed_powheg_2j_1.2_200000.npz is the Powheg sample with the photon detector resolution scaled by a factor of 1.2. processed_madgraph_2j_syst_1000000.npz is the MadGraph sample with the photon detector resolution uniformly varied from the nominal value by the factor in the range (0.5, 1.5).
DOI: 10.6084/m9.figshare.8858897
title: GBMD_network

description: This dataset contains the water mask and network of the Ganges-Brahmaputra-Meghna Delta extracted from LANDSAT data. The network is in shapefile format. Information on how the water mask and the network were extracted is provided in the publication linked below. <br>The folder contains the following data sets:- gangeschan -&gt; water mask of the GBMD- gangesNetmod -&gt; centerlines of the GBMD network, with associated width and length of each reach- my_zones2 -&gt; boundaries of the tidal, mangroves, active and inactive zones as described in the manuscript.
DOI: 10.5281/zenodo.7958201
title: Data and code for Sr3NI3

description: Procedure of using all codes: 1.use quantum espresso software in linux operating system for running all the codes.<br> 2.Make a psedo file with the pseudopotential of Sr,N, and I.<br> 2.Run the scf file by using the command: pw.x&lt;Sr3NI3.scf.in&gt;Sr3NI3.scf.out<br> 3.Run the nscf file by using the command: pw.x&lt;Sr3NI3.nscf.in&gt;Sr3NI3.nscf.out<br> 4.Run the bands file by using the command: bands.x&lt;Sr3NI3.bands.in&gt;Sr3NI3.bands.out and using plotband.x plot the bands fig in xmgrace.<br> 5.Run the pdos file by using the command: projwfc.x&lt;Sr3NI3.pdos.in&gt;Sr3NI3.pdos.out<br> 6.Run the eps file by using the command: epsilon.x&lt;Sr3NI3.eps.in&gt;Sr3NI3.eps.out<br> 7.Run the jdos file by using the command: epsilon.x&lt;Sr3NI3.jdos.in&gt;Sr3NI3.jdos.out
DOI: 10.5281/zenodo.7958200
title: Data and code for Sr3NI3

description: Procedure of using all codes: 1.use quantum espresso software in linux operating system for running all the codes.<br> 2.Make a psedo file with the pseudopotential of Sr,N, and I.<br> 2.Run the scf file by using the command: pw.x&lt;Sr3NI3.scf.in&gt;Sr3NI3.scf.out<br> 3.Run the nscf file by using the command: pw.x&lt;Sr3NI3.nscf.in&gt;Sr3NI3.nscf.out<br> 4.Run the bands file by using the command: bands.x&lt;Sr3NI3.bands.in&gt;Sr3NI3.bands.out and using plotband.x plot the bands fig in xmgrace.<br> 5.Run the pdos file by using the command: projwfc.x&lt;Sr3NI3.pdos.in&gt;Sr3NI3.pdos.out<br> 6.Run the eps file by using the command: epsilon.x&lt;Sr3NI3.eps.in&gt;Sr3NI3.eps.out<br> 7.Run the jdos file by using the command: epsilon.x&lt;Sr3NI3.jdos.in&gt;Sr3NI3.jdos.out
DOI: 10.6084/m9.figshare.22581980
title: Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models

description: We consider sparse Markov regime-switching vector autoregressive (MSVAR) models in which the regimes are governed by a latent homogeneous Markov chain. In practice, even for moderate values of the number of Markovian regimes and data dimension, the associated MSVAR model has a large parameter dimension compared to a typical sample size. We provide a unified penalized conditional likelihood approach for estimating sparse MSVAR models. We show that our proposed estimators are consistent and recover the sparse structure of the model. We also show that, when the number of regimes is correctly or over-specified, our method provides consistent estimation of the predictive density. We develop an efficient implementation of the method based on a modified Expectation-Maximization (EM) algorithm. We discuss strategies for estimation of the number of regimes. We evaluate finite-sample performance of the method via simulations, and further demonstrate its utility by analyzing a real dataset.
DOI: 10.6084/m9.figshare.22581980.v2
title: Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models

description: We consider sparse Markov regime-switching vector autoregressive (MSVAR) models in which the regimes are governed by a latent homogeneous Markov chain. In practice, even for moderate values of the number of Markovian regimes and data dimension, the associated MSVAR model has a large parameter dimension compared to a typical sample size. We provide a unified penalized conditional likelihood approach for estimating sparse MSVAR models. We show that our proposed estimators are consistent and recover the sparse structure of the model. We also show that, when the number of regimes is correctly or over-specified, our method provides consistent estimation of the predictive density. We develop an efficient implementation of the method based on a modified Expectation-Maximization (EM) algorithm. We discuss strategies for estimation of the number of regimes. We evaluate finite-sample performance of the method via simulations, and further demonstrate its utility by analyzing a real dataset.
DOI: 10.6084/m9.figshare.22581980.v1
title: Penalized estimation of sparse Markov regime-switching vector auto-regressive models

description: We consider sparse Markov regime-switching vector autoregressive (MSVAR) models in which the regimes are governed by a latent homogeneous Markov chain. In practice, even for moderate values of the number of Markovian regimes and data dimension, the associated MSVAR model has a large parameter dimension compared to a typical sample size. We provide a unified penalized conditional likelihood approach for estimating sparse MSVAR models. We show that our proposed estimators are consistent and recover the sparse structure of the model. We also show that, when the number of regimes is correctly or over-specified, our method provides consistent estimation of the predictive density. We develop an efficient implementation of the method based on a modified expectation-maximization (EM) algorithm. We discuss strategies for estimation of the number of regimes. We evaluate finite-sample performance of the method via simulations, and further demonstrate its utility by analyzing a real dataset. Supplementary materials for this paper are available online.
DOI: 10.5281/zenodo.7958213
title: All data used for thermochemical modeling of wet-dry cycles in Gale crater

description: All data used for thermochemical modeling of wet-dry cycles in Gale crater including starting parameters, modeled and extrapolated results, and result comparisons.
DOI: 10.5281/zenodo.7958212
title: All data used for thermochemical modeling of wet-dry cycles in Gale crater

description: All data used for thermochemical modeling of wet-dry cycles in Gale crater including starting parameters, modeled and extrapolated results, and result comparisons.
DOI: 10.5281/zenodo.7878654
title: A View From Somewhere: Human-Centric Face Representations

description: <strong>Abstract</strong> Few datasets contain self-identified sensitive attributes, inferring attributes risks introducing additional biases, and collecting attributes can carry legal risks. Besides, categorical labels can fail to reflect the continuous nature of human phenotypic diversity, making it difficult to compare the similarity between same-labeled faces. To address these issues, we present A View From Somewhere (AVFS)---a dataset of 638,180 human judgments of face similarity. We demonstrate the utility of AVFS for learning a continuous, low-dimensional embedding space aligned with human perception. Our embedding space, induced under a novel conditional framework, not only enables the accurate prediction of face similarity, but also provides a human-interpretable decomposition of the dimensions used in the human decision-making process, and the importance distinct annotators place on each dimension. We additionally show the practicality of the dimensions for collecting continuous attributes, performing classification, and comparing dataset attribute disparities. <strong>ICLR 2023 Paper</strong> arxiv.org/abs/2303.17176 <strong>Code</strong> github.com/SonyResearch/a_view_from_somewhere <strong>Citing A View From Somewhere</strong> <pre>@inproceedings{ andrews2023avfs, title={A View From Somewhere: Human-Centric Face Representations}, author={Jerone T A Andrews and Przemyslaw Joniak and Alice Xiang}, booktitle={ICLR}, year={2023} }</pre>