cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13050184.v2
title: Homogeneity and Structure Identification in Semiparametric Factor Models

description: Factor modeling is an essential tool for exploring intrinsic dependence structures in financial and economic studies through the construction of common latent variables, including the famous Fama–French three factor models for the description of asset returns in finance. However, most of the existing statistical methods for analyzing latent factors have been developed through a linear approach. In this article, we consider a semiparametric factor model and present a regularized estimation procedure for linear component identification on the transformed factor that combines B-spline basis function approximations and the smoothly clipped absolute deviation penalty. In addition, a binary segmentation based algorithm is also developed to identify the homogeneous groups in loading parameters, producing more efficient estimation by pooling information across units within the same group. We carefully derive the asymptotic properties for the proposed procedures. Finally, simulation studies and a real data analysis are conducted to evaluate the finite sample performance of our proposals.
DOI: 10.6084/m9.figshare.12999577.v1
title: A Projective Approach to Conditional Independence Test For Dependent Processes

description: Conditional independence is a fundamental concept in many scientific fields. In this paper, we propose a projective approach to measuring and testing departure from conditional independence for dependent processes. Through projecting high dimensional dependent processes onto low dimensional subspaces, our proposed projective approach is insensitive to the dimensions of the processes. We show that, under the common <i>β</i>-mixing conditions, our proposed projective test statistic is <i>n</i>-consistent if these processes are conditionally independent and root-<i>n</i>-consistent otherwise. We suggest a bootstrap procedure to approximate the asymptotic null distribution of the test statistic. The consistency of this bootstrap procedure is also rigorously established. The finite-sample performance of our proposed projective test is demonstrated through simulations against various alternatives and an economic application to test for Granger causality.
DOI: 10.6084/m9.figshare.13050184.v1
title: Homogeneity and structure identification in semiparametric factor models

description: Factor modeling is an essential tool for exploring intrinsic dependence structures in financial and economic studies through the construction of common latent variables, including the famous Fama-French three factor models for the description of asset returns in finance. However, most of the existing statistical methods for analyzing latent factors have been developed through a linear approach. In this paper, we consider a semiparametric factor model and present a regularized estimation procedure for linear component identification on the transformed factor that combines B-spline basis function approximations and the smoothly clipped absolute deviation penalty. In addition, a binary segmentation based algorithm is also developed to identify the homogeneous groups in loading parameters, producing more efficient estimation by pooling information across units within the same group. We carefully derive the asymptotic properties for the proposed procedures. Finally, simulation studies and a real data analysis are conducted to evaluate the finite sample performance of our proposals.
DOI: 10.25345/c5cc47
title: MassIVE MSV000088619 - Nesterenkonia Proteomics UV radiation
title: In the Central Andean region in South America, high-altitude ecosystems (3500-6000 masl) are distributed across Argentina, Chile, Bolivia and Peru, in which poly-extremophilic microbes thrive under extreme environmental conditions. In particular, in the Puna region, total solar irradiation and UV incidence are the highest on Earth, thus, restraining the physiology of individual microorganisms and the composition of microbial communities. UV-resistance of microbial strains thriving in High-Altitude Andean Lakes was demonstrated and their mechanisms were partially characterized by genomic analysis, biochemical and physiological assays. Then, the existence of a network of physiological and molecular mechanisms triggered by ultraviolet light exposure was hypothesized and called "UV-resistome". It includes some or all of the following subsystems: (i) UV sensing and effective response regulators, (ii) UV-avoidance and shielding strategies, (iii) damage tolerance and oxidative stress response, (iv) energy management and metabolic resetting, and (v) DNA damage repair. Genes involved in the described UV-resistome were recently described in the genome of Nesterenkonia sp. Act20, an actinobacterium which showed survival to high UV-B doses as well as efficient photorepairing capability. The aim of this work was to use a proteomic approach together with photoproduct measurements to help dissecting the molecular events involved in the adaptive response of a model High-Altitude Andean Lakes (HAAL) extremophilic actinobacterium, Nesterenkonia sp. Act20, under artificial UV-B radiation. Our results demonstrate that UV-B exposure induced over-abundance of a well-defined set of proteins while recovery treatments restored the proteomic profiles present before the UV-challenge. The proteins involved in this complex molecular network were categorized within the UV-resistome subsystems: damage tolerance and oxidative stress response, energy management and metabolic resetting, and DNA damage repair.
DOI: 10.6084/m9.figshare.16586903
title: GIS_Gerlach_et_al_2021.zip

description: These folders contain a GIS dataset and expanded metadata to accompany: Gerlach, M.E.; Rains, K.C.; Guerrón-Orejuela, E.J.; Kleindl, W.J.; Downs, J.; Landry, S.M.; Rains, M.C. Using Remote Sensing and Machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams. <em>Remote Sens.</em> 2022, <em>14</em>, 63. https://doi.org/10.3390/rs14010063<br>
DOI: 10.6084/m9.figshare.16586903.v1
title: GIS_Gerlach_et_al_2021.zip

description: These folders contain a GIS dataset and expanded metadata to accompany: Gerlach, M.E.; Rains, K.C.; Guerrón-Orejuela, E.J.; Kleindl, W.J.; Downs, J.; Landry, S.M.; Rains, M.C. Using Remote Sensing and Machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams. <em>Remote Sens.</em> 2022, <em>14</em>, 63. https://doi.org/10.3390/rs14010063<br>
DOI: 10.5281/zenodo.5806750
title: Papilio helenus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806749
title: Papilio helenus decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.3436763
title: Imperiled species threat and demography scoring

description: Data for the PeerJ manuscript, <i>A simple, sufficient, and consistent method to score the status of threats and demography of imperiled species</i>. Preprint at https://peerj.com/preprints/1860/.<br>Consists of four tab-separated files written directly from the R data.frames used in the analysis:<br>FWS_change_spp.tsv: Threat and demography scores, as well as FWS status metrics, for 52 species in Analysis 1 of the paper. These species were either proposed for status changes by FWS (37 spp.) or were controls (15 spp.).<br>LDA_data.tsv: A reshaped dataset based on FWS_change_spp.tsv, for linear discriminant analysis in Analysis 1.<br>all_FL_spp.tsv: Threat and demography scores for 54 ESA-listed species from Florida, non-plant and FWS with primary jurisdiction.<br>FL_multiperson.tsv: Threat and demography scores for ten randomly selected species in all_FL_spp.tsv, with scores from five different people.
DOI: 10.6084/m9.figshare.3436763.v2
title: Imperiled species threat and demography scoring

description: Data for the PeerJ manuscript, <i>A simple, sufficient, and consistent method to score the status of threats and demography of imperiled species</i>. Preprint at https://peerj.com/preprints/1860/.<br>Consists of four tab-separated files written directly from the R data.frames used in the analysis:<br>FWS_change_spp.tsv: Threat and demography scores, as well as FWS status metrics, for 52 species in Analysis 1 of the paper. These species were either proposed for status changes by FWS (37 spp.) or were controls (15 spp.).<br>LDA_data.tsv: A reshaped dataset based on FWS_change_spp.tsv, for linear discriminant analysis in Analysis 1.<br>all_FL_spp.tsv: Threat and demography scores for 54 ESA-listed species from Florida, non-plant and FWS with primary jurisdiction.<br>FL_multiperson.tsv: Threat and demography scores for ten randomly selected species in all_FL_spp.tsv, with scores from five different people.
DOI: 10.6084/m9.figshare.3436763.v1
title: Imperiled species threat and demography scoring

description: Data for the PeerJ manuscript, <i>A simple, sufficient, and consistent method to score the status of threats and demography of imperiled species</i>. Preprint at https://peerj.com/preprints/1860/.<br>Consists of four tab-separated files written directly from the R data.frames used in the analysis:<br>FWS_change_spp.tsv: Threat and demography scores, as well as FWS status metrics, for 52 species in Analysis 1 of the paper. These species were either proposed for status changes by FWS (37 spp.) or were controls (15 spp.).<br>LDA_data.tsv: A reshaped dataset based on FWS_change_spp.tsv, for linear discriminant analysis in Analysis 1.<br>all_FL_spp.tsv: Threat and demography scores for 54 ESA-listed species from Florida, non-plant and FWS with primary jurisdiction.<br>FL_multiperson.tsv: Threat and demography scores for ten randomly selected species in all_FL_spp.tsv, with scores from five different people.
DOI: 10.6084/m9.figshare.3180913
title: Southeast US Imperiled Species Planning

description: Final report on using open data to rank the importance of all 875 counties in the Southeast United States based on the number of ESA-listed species, expected human population growth through 2040, and the amount of protected land per county.<br><br>
DOI: 10.5281/zenodo.5806762
title: Solanum ossicruentum decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806761
title: Solanum ossicruentum decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5806780
title: Results for the empirical determinacy manuscript in .RData format

description: Results for the empirical determinacy manuscript for the 8 schools, RTI and simulation studies in .RData format
DOI: 10.5281/zenodo.5806779
title: Results for the empirical determinacy manuscript in .RData format

description: Results for the empirical determinacy manuscript for the 8 schools, RTI and simulation studies in .RData format
DOI: 10.6084/m9.figshare.12293162
title: A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors

description: A novel method-of-moments approach is proposed for the estimation of factor-augmented panel data models with endogenous regressors when <i>T</i> is fixed. The underlying methodology involves approximating the unobserved common factors using observed factor proxies. The resulting moment conditions are linear in the parameters. The proposed approach addresses several issues which arise with existing nonlinear estimators that are available in fixed <i>T</i> panels, such as local minima-related problems, a sensitivity to particular normalization schemes, and a potential lack of global identification. We apply our approach to a large panel of households and estimate the price elasticity of urban water demand. A simulation study confirms that our approach performs well in finite samples.
DOI: 10.6084/m9.figshare.12293162.v2
title: A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors

description: A novel method-of-moments approach is proposed for the estimation of factor-augmented panel data models with endogenous regressors when <i>T</i> is fixed. The underlying methodology involves approximating the unobserved common factors using observed factor proxies. The resulting moment conditions are linear in the parameters. The proposed approach addresses several issues which arise with existing nonlinear estimators that are available in fixed <i>T</i> panels, such as local minima-related problems, a sensitivity to particular normalization schemes, and a potential lack of global identification. We apply our approach to a large panel of households and estimate the price elasticity of urban water demand. A simulation study confirms that our approach performs well in finite samples.
DOI: 10.6084/m9.figshare.12849695
title: Counterfactual Analysis and Inference With Nonstationary Data

description: Recently, there has been growing interest in developing econometric tools to conduct counterfactual analysis with aggregate data when a single “treated” unit suffers an intervention, such as a policy change, and there is no obvious control group. Usually, the proposed methods are based on the construction of an artificial/synthetic counterfactual from a pool of “untreated” peers, organized in a panel data structure. In this article, we investigate the consequences of applying such methodologies when the data comprise integrated processes of order 1, <i>I</i>(1), or are trend-stationary. We find that for <i>I</i>(1) processes <i>without</i> a cointegrating relationship (spurious case) the estimator of the effects of the intervention diverges, regardless of its existence. Although spurious regression is a well-known concept in time-series econometrics, they have been ignored in most of the literature on counterfactual estimation based on artificial/synthetic controls. For the case when at least one cointegration relationship exists, we have consistent estimators for the intervention effect <i>albeit</i> with a nonstandard distribution. Finally, we discuss a test based on resampling which can be applied when there is at least one cointegration relationship or when the data are trend-stationary.
DOI: 10.6084/m9.figshare.12849695.v2
title: Counterfactual Analysis and Inference With Nonstationary Data

description: Recently, there has been growing interest in developing econometric tools to conduct counterfactual analysis with aggregate data when a single “treated” unit suffers an intervention, such as a policy change, and there is no obvious control group. Usually, the proposed methods are based on the construction of an artificial/synthetic counterfactual from a pool of “untreated” peers, organized in a panel data structure. In this article, we investigate the consequences of applying such methodologies when the data comprise integrated processes of order 1, <i>I</i>(1), or are trend-stationary. We find that for <i>I</i>(1) processes <i>without</i> a cointegrating relationship (spurious case) the estimator of the effects of the intervention diverges, regardless of its existence. Although spurious regression is a well-known concept in time-series econometrics, they have been ignored in most of the literature on counterfactual estimation based on artificial/synthetic controls. For the case when at least one cointegration relationship exists, we have consistent estimators for the intervention effect <i>albeit</i> with a nonstandard distribution. Finally, we discuss a test based on resampling which can be applied when there is at least one cointegration relationship or when the data are trend-stationary.
DOI: 10.6084/m9.figshare.12293162.v1
title: A Linear Estimator for Factor-Augmented Fixed-T Panels with Endogenous Regressors

description: A novel method-of-moments approach is proposed for the estimation of factor-augmented panel data models with endogenous regressors when <i>T</i> is fixed. The underlying methodology involves approximating the unobserved common factors using observed factor proxies. The resulting moment conditions are linear in the parameters. The proposed approach addresses several issues which arise with existing nonlinear estimators that are available in fixed <i>T</i> panels, such as local minima-related problems, a sensitivity to particular normalisation schemes, and a potential lack of global identification. We apply our approach to a large panel of households and estimate the price elasticity of urban water demand. A simulation study confirms that our approach performs well in finite samples.
DOI: 10.5281/zenodo.5806782
title: Pteroeides caledonicum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806781
title: Pteroeides caledonicum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5806270
title: Tomography data for interparticle contact detection analysis in spheroidal granular packings

description: This collection contains a series of synchrotron XCT scans on a hexagonal close-packed arrangement of soda-glass pellets. The field of view (FOV) diameter is 68.9 mm in diameter, approximately, and the nominal individual pellet diameter is 10 mm. The detector pixel size is 21 microns for all scans. The pellets were arranged in three horizontal lattices (layers). The middle and top lattices were separated by a layer of polyethylene film (cling film), while the bottom and middle layer were fully-contacting. Each file corresponds to a scan of either the bottom contacting or top non-contacting lattice pair. Thus, each filename includes a 'top' and 'bot' identifier. Acquisition parameters (number of projections, exposure time per projection, rotation range and sample position) were varied to achieve different image qualities and are included in 'README.txt'. All but scan A5 were local scans; scan A5 is a full-field scan acquired using the 'half-acquisition' method. Tomographic reconstruction was carried out using filtered back-projection in Savu. After reconstruction, a 3D median filter (kernel size = 2) and an anisotropic diffusion filter (diffusion threshold = 100; iterations = 2) were used to reduce noise. Data was acquired using Beamline I12-JEEP at Diamond Light Source (proposal NT26307-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.
DOI: 10.5281/zenodo.5806269
title: Tomography data for interparticle contact detection analysis in spheroidal granular packings

description: This collection contains a series of synchrotron XCT scans on a hexagonal close-packed arrangement of soda-glass pellets. The field of view (FOV) diameter is 68.9 mm in diameter, approximately, and the nominal individual pellet diameter is 10 mm. The detector pixel size is 21 microns for all scans. The pellets were arranged in three horizontal lattices (layers). The middle and top lattices were separated by a layer of polyethylene film (cling film), while the bottom and middle layer were fully-contacting. Each file corresponds to a scan of either the bottom contacting or top non-contacting lattice pair. Thus, each filename includes a 'top' and 'bot' identifier. Acquisition parameters (number of projections, exposure time per projection, rotation range and sample position) were varied to achieve different image qualities and are included in 'README.txt'. All but scan A5 were local scans; scan A5 is a full-field scan acquired using the 'half-acquisition' method. Tomographic reconstruction was carried out using filtered back-projection in Savu. After reconstruction, a 3D median filter (kernel size = 2) and an anisotropic diffusion filter (diffusion threshold = 100; iterations = 2) were used to reduce noise. Data was acquired using Beamline I12-JEEP at Diamond Light Source (proposal NT26307-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.
DOI: 10.5281/zenodo.5806788
title: The German research-performing pharmaceutical industry on Twitter

description: Science communication undergraduate student.
DOI: 10.17632/jggdkrpxts.1
title: Alzheimer’s vulnerable brain region relies on a distinct retromer core dedicated to endosomal recycling. Simoes et al.

description: Original western blot images used in the manuscript titled 'Alzheimer’s vulnerable brain region relies on a distinct retromer core dedicated to endosomal recycling'.
DOI: 10.17632/2jjykccvk4.1
title: From town to national park: Understanding the long-term effects of hunting and logging on tree communities in Central Africa

description: Anthropogenic disturbances are changing the structure and composition of tropical forests worldwide. Multiple disturbances often occur simultaneously in forests: for example, hunting and logging are within-forest disturbances that impact vast areas of seemingly intact rainforests. Despite recent work on the individual effects of these disturbances, our understanding of how they interact to influence tree communities is still limited. In northern Republic of Congo, we explored the effects of hunting and logging on tree communities. Over an 8-year period, we monitored 12,552 tree stems (≥ 10 cm diameter-at-breast height) spread over 30 1-ha plots along a gradient of human disturbance to compare the tree diversity between hunted and logged forest, once-logged forest, and protected forest free of both disturbances. Tree density, species richness, and community composition were affected by both hunting and logging. Forest close to human settlements was richer, more heterogenous, and more dynamic in species composition across censuses. In hunted and logged forest, fast-growing secondary species with low shade tolerance replaced old growth species. Comparatively, the once-logged forest had the greatest stem density and intermediate species richness with a density increase of shade-bearing species over time. Both tree species spatial turnover and tree recruitment were greatly affected by proximity to human settlements. A shift towards abiotically dispersed trees and increasing seed predation by rodents near villages can partly explain the differences in tree recruitment across the forest types. The combination of hunting and logging seems to have a greater impact on tree communities than either single disturbance, especially with nearness to villages.
DOI: 10.5517/ccdc.csd.cc275y2g
title: CCDC 2061285: Experimental Crystal Structure Determination

description: Related Article: Chunyan Qin, Yawen Li, Qingfang Li, Chaochao Yan, Liping Cao|2021|Chin.Chem.Lett.|32|3531|doi:10.1016/j.cclet.2021.05.006
DOI: 10.5517/ccdc.csd.cc27hhpy
title: CCDC 2070480: Experimental Crystal Structure Determination

description: Related Article: Anton A. Homon, Oleksandr V. Hryshchuk, Olha V. Mykhailenko, Bohdan V. Vashchenko, Kostiantyn P. Melnykov, Oleg M. Michurin, Constantin G. Daniliuc, Igor I. Gerus, Volodymyr O. Kovtunenko, Ivan S. Kondratov, Oleksandr O. Grygorenko|2021|Eur.J.Org.Chem.|2021|6580|doi:10.1002/ejoc.202100414
DOI: 10.5517/ccdc.csd.cc27kzqj
title: CCDC 2072868: Experimental Crystal Structure Determination

description: Related Article: Danylo O. Merzhyievskyi, Oleh V. Shablykin, Olga V. Shablykina, Andriy V. Kozytskiy, Eduard B. Rusanov, Viktoriia S. Moskvina, Volodymyr S. Brovarets|2021|Eur.J.Org.Chem.|2021|6511|doi:10.1002/ejoc.202100412
DOI: 10.5517/ccdc.csd.cc288lv0
title: CCDC 2093642: Experimental Crystal Structure Determination

description: Related Article: Aurélien Adenot, Lucile Anthore-Dalion, Emmanuel Nicolas, Jean-Claude Berthet, Pierre Thuéry, Thibault Cantat|2021|Chem.-Eur.J.|27|18047|doi:10.1002/chem.202103371
DOI: 10.5517/ccdc.csd.cc28m0kh
title: CCDC 2103646: Experimental Crystal Structure Determination

description: Related Article: Yuji Nishii|2021|CSD Communication|||
description: Related Article: Qing-Feng Xu-Xu, Yuji Nishii, Yuta Uetake, Hidehiro Sakurai, Masahiro Miura|2021|Chem.-Eur.J.|27|17952|doi:10.1002/chem.202103485
DOI: 10.5517/ccdc.csd.cc28m3mn
title: CCDC 2103741: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Gerald Kehr, Gerhard Erker|2021|J.Am.Chem.Soc.|143|21312|doi:10.1021/jacs.1c09774
DOI: 10.5517/ccdc.csd.cc28m3np
title: CCDC 2103742: Experimental Crystal Structure Determination

description: Related Article: Chaohuang Chen, Constantin G. Daniliuc, Gerald Kehr, Gerhard Erker|2021|J.Am.Chem.Soc.|143|21312|doi:10.1021/jacs.1c09774