cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21578758
title: The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation

description: Researchers in psychology, education, and organizational behavior often encounter multilevel data with hierarchical structures. Bayesian approach is usually more advantageous than traditional frequentist-based approach in small sample sizes, but it is also more susceptible to the subjective specification of priors. To investigate the potentially detrimental effects of inaccurate prior information on Bayesian approach and compare its performance with that of traditional method, a series of simulations was conducted under a multilevel model framework with different settings. The results reveal the devastating impacts of inaccurate prior information on Bayesian estimation, especially in the cases of larger intraclass correlation coefficient, smaller level 2 sample size, and smaller prior variance. When the dependent variable is non-normal or binary, these negative effects are more noticeable. The present study investigated the impacts of inaccurate prior information and provides advice on the specification of priors.
DOI: 10.6084/m9.figshare.21578758.v1
title: The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation

description: Researchers in psychology, education, and organizational behavior often encounter multilevel data with hierarchical structures. Bayesian approach is usually more advantageous than traditional frequentist-based approach in small sample sizes, but it is also more susceptible to the subjective specification of priors. To investigate the potentially detrimental effects of inaccurate prior information on Bayesian approach and compare its performance with that of traditional method, a series of simulations was conducted under a multilevel model framework with different settings. The results reveal the devastating impacts of inaccurate prior information on Bayesian estimation, especially in the cases of larger intraclass correlation coefficient, smaller level 2 sample size, and smaller prior variance. When the dependent variable is non-normal or binary, these negative effects are more noticeable. The present study investigated the impacts of inaccurate prior information and provides advice on the specification of priors.
DOI: 10.6084/m9.figshare.21578703.v1
title: Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling

description: Jöreskog’s covariance-based approach (JCA) has been considered a standard method for structural equation modeling. However, JCA is prone to the occurrence of improper solutions and cannot make probabilistic inferences about the true factor scores. To address the enduring issues of JCA, we propose a data matrix-based alternative, termed structured factor analysis (SFA). Given a data matrix of indicators, SFA begins by estimating both measurement model parameters and factor scores by minimizing a single cost function via an alternating least squares algorithm, which mathematically guarantees convergence to proper solutions. It then employs the factor score estimates to estimate structural model parameters. Once all parameters are estimated, SFA further estimates the probability distribution of the factor scores that can generate the data matrix of indicators, which can be used for probabilistic inferences about the true factor scores. We investigate SFA’s performance and empirical utility through simulated and real data analyses.
DOI: 10.6084/m9.figshare.21578703
title: Structured Factor Analysis: A Data Matrix-Based Alternative Approach to Structural Equation Modeling

description: Jöreskog’s covariance-based approach (JCA) has been considered a standard method for structural equation modeling. However, JCA is prone to the occurrence of improper solutions and cannot make probabilistic inferences about the true factor scores. To address the enduring issues of JCA, we propose a data matrix-based alternative, termed structured factor analysis (SFA). Given a data matrix of indicators, SFA begins by estimating both measurement model parameters and factor scores by minimizing a single cost function via an alternating least squares algorithm, which mathematically guarantees convergence to proper solutions. It then employs the factor score estimates to estimate structural model parameters. Once all parameters are estimated, SFA further estimates the probability distribution of the factor scores that can generate the data matrix of indicators, which can be used for probabilistic inferences about the true factor scores. We investigate SFA’s performance and empirical utility through simulated and real data analyses.
DOI: 10.22003/xfel.eu-data-003315-00
title: Non-linear multiphoton excitation and ionization of highly charged ions using high intensity XFEL pulses
DOI: 10.22003/xfel.eu-data-005337-00
title: Toward first ultra-high resolution for metalloproteins using high-energy X-ray free electron laser
DOI: 10.5281/zenodo.7539659
title: Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks

description: Dataset used in the publication of Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks. The preprint is available on arXiv: https://arxiv.org/abs/2302.09184.
DOI: 10.6084/m9.figshare.22970420
title: Political Efficacy Systematic Review and Meta-analysis

description: These are the data and replication files for a project about digital media use and political efficacy. There are two sets of materials: 1) systematic review; 2) meta-analysis.
DOI: 10.6084/m9.figshare.22970378
title: Thesis.pdf

description: This thesis contains data sets of individual works linked together under the umbrella of a broader topic 'Anti-tuberculosis, Resistance modulatory, Anti-pulmonary fibrosis and Anti-silicosis effects of Crinum asiaticum bulbs and its active metabolite, betulin'
DOI: 10.6084/m9.figshare.22970378.v1
title: Thesis.pdf

description: This thesis contains data sets of individual works linked together under the umbrella of a broader topic 'Anti-tuberculosis, Resistance modulatory, Anti-pulmonary fibrosis and Anti-silicosis effects of Crinum asiaticum bulbs and its active metabolite, betulin'
DOI: 10.6084/m9.figshare.22151546
title: Supplemental_Data_S1

description: Supplemental_Data_S1 for PeerJ review
DOI: 10.6084/m9.figshare.22151546.v1
title: Supplemental_Data_S1

description: Supplemental_Data_S1 for PeerJ review
DOI: 10.48324/dandi.000549/0.230519.2043
title: Effect of the pulse duration on electroporation by unipolar and 50% bipolar pulses

description: Trains of 5 different duration pulses,  all exposures were at 1 Hz. Cells were electroporated by a train of 5 unipolar 300ns, 1200ns, 50us, 100us, 500us or bipolar 300+300ns, 1200+1200ns, 50+50us, 100+100us, 500+500us pulses (second pulse's amplitude was 50% in relation to the first pulse's amplitude). The electrodes were two parallel stainless-steel cylinders, 1.5 mm in diameter and 3 mm apart. Supported by NIH 1R21EY034258
DOI: 10.6084/m9.figshare.22237531.v2
title: Supporting information for "Key factors controlling biotite−silicate melt Nb and Ta partitioning: Implications for Nb−Ta enrichment and fractionation in granites"

description: This file includes the supporting information of the manuscript titled "Key factors controlling biotite−silicate melt Nb and Ta partitioning: Implications for Nb−Ta enrichment and fractionation in granites"
DOI: 10.6084/m9.figshare.22237531.v1
title: Supporting information for "Key factors controlling biotite/silicate melt Nb and Ta partitioning: Implications for Nb−Ta enrichment and fractionation in granites"

description: This file includes the supporting information of the manuscript titled "Key factors controlling biotite/silicate melt Nb and Ta partitioning: Implications for Nb−Ta enrichment and fractionation in granites"
DOI: 10.6084/m9.figshare.21440484.v1
title: Rehearsal_031322.mat

description: Data from the reherarsal done on 03/13/22.
DOI: 10.5281/zenodo.7951658
title: NHERI-SimCenter/DB_DamageAndLoss: Version 1.0.0

description: Initial Release: FEMA P-58 2nd edition Hazus Earthquake Model for Buildings
description: This work is based on material supported by the National Science Foundation under grants CMMI 1612843 and 2131111
DOI: 10.26093/cds/vizier.36700009
title: GLOSTAR. Radio Source Catalogue. II.

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'A global view on star formation: The GLOSTAR Galactic plane survey. VI. Radio Source Catalog II: 28{deg}
DOI: 10.25345/c5n58cw7r
title: MassIVE MSV000091994 - Reverse N-terminomics of SARS-CoV-2 PLpro in Jurkat treated with TAK-243
title: Subtiligase-based N-terminomics (Abu N-terminal tagging) of Jurkat cell lysate incubated with SARS-CoV-2 PLpro, following treatment with the UAE inhibitor TAK-243. Includes four conditions each with two replicates: TAK-243 treated (with and without PLpro incubation), and DMSO treated control (with and without PLpro incubation).
DOI: 10.6084/m9.figshare.3761562.v2590
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc2f4s0d
title: CCDC 2238913: Experimental Crystal Structure Determination

description: Related Article: Dominick C. Witkowski, Matthew Scott McVeigh, Georgia Scherer, Sarah M Anthony, Neil K. Garg|2023|J.Am.Chem.Soc.|145|10491|doi:10.1021/jacs.3c03102
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: 10.22002/vhsr7-sa891
title: Dataset: A QTL on chromosome IV explains a natural variation of QR.pap final position in Caenorhabditis elegans

description: Supplementary Tables (6 sheets) including the data for QR.pax cell positions used to construct the main figure (Tables S1-4),  the primer sequences (Table S5) and genotypes of introgressed lines (Table S6)
DOI: 10.6073/pasta/3fac38f0633532d33b963c67f80d01f2
title: UCSB SONGS Mitigation Monitoring: Reef Survey - Benthic Algae and Invertebrate Abundance

description: These data describe annual estimates of the density of benthic algae and macroinvertebrates at three subtidal reefs collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2009 at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). In the summer of each year, divers identified and counted species of benthic algae and macroinvertebrates in quadrats of varying size that were uniformly distributed along fixed transects at each reef.
DOI: 10.6073/pasta/87de677073e08534b30a6fcc5696388a
title: UCSB SONGS Mitigation Monitoring: Reef Survey - Benthic Algae, Invertebrate, and Substrate Cover

description: These data describe annual estimates of the percent cover of benthic macroalgae, sessile macroinvertebrates, and hard and soft substrates at three subtidal reefs collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2009 at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). In the summer of each year, divers identified and recorded species of sessile algae and macroinvertebrates, and substrate types under twenty uniformly placed points within 1 m2 quadrats that were uniformly distributed along fixed transects at each reef.
DOI: 10.13020/mz9b-4r42
title: Data for Alternating Gyroid in Block Polymer Blends

description: This data set contains the input and output files from the PSCF C++ program used for the self-consistent field theory (SCFT) simulation in "Alternating gyroid in block polymer blends" by Park et al. (doi/10.1021/acsmacrolett.2c00115). Self-consistent field theory was used to investigate the stability of alternating gyroid phase in the ternary AB/BC/ABC block polymer mixture. With this dataset, users should be able to regenerate all the calculations that appeared in the paper, using the open-source C++ SCFT program.
description: With the data provided here, users can reproduce all the results of self-consistent field theory (SCFT) calculations presented in the paper "Alternating gyroid in block polymer blends" by Park et al. (doi/10.1021/acsmacrolett.2c00115). Each folder contains input files and output converged solutions of the SCFT simulations for the corresponding figures in the paper. Information about the open-source C++ SCFT program is available at GitHub (https://github.com/dmorse/pscfpp) and the user manual page (https://dmorse.github.io/pscfpp-man/).
DOI: 10.6073/pasta/29b3001930c25ccf4d271b37ad91a11c
title: UCSB SONGS Mitigation Monitoring: Reef Survey - Fish Size and Abundance

description: These data describe annual estimates of the size and abundance of fish at three subtidal reefs collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2009 at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). In the summer of each year, divers identified, sized, and counted species of fish along fixed transects, and in quadrats uniformly distributed at each reef.
DOI: 10.6073/pasta/075e353f81754b2b5d7ee45638cf30a6
title: UCSB SONGS Mitigation Monitoring: Reef Survey - Kelp Size and Abundance

description: These data describe annual estimates of the size and abundance of giant kelp, Macrocystis pyrifera, at three subtidal reefs collected as part of the San Onofre Nuclear Generating Station (SONGS) Mitigation Monitoring Program. Data collection began in 2009 at an artificial reef (Wheeler North Reef in Orange County, CA) and two natural reference reefs (San Mateo Kelp in Orange County, CA and Barn Kelp in San Diego County, CA). In the summer of each year, divers counted the number of fronds &gt; 1 m tall on each giant kelp plant encountered in 20 m2 quadrats uniformly distributed along five fixed transects at each reef.
DOI: 10.6073/pasta/86c3f20b5862874380125039095f6832
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Abundance

description: These data describe annual estimates of bird density collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of birds is determined from twenty plots spread across each wetland.
DOI: 10.6073/pasta/b4162ced9e4c9deaf15c1c9773e9e4b4
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Bird Feeding Activity

description: These data describe annual estimates of shorebird bird feeding activity, measured as the percentage of birds observed feeding, collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Point Mugu Lagoon in Ventura County. Bird feeding activity was estimated for twenty plots in each wetland having at least one targeted shorebird species present on the ground.
DOI: 10.6073/pasta/6448fe71bba162624fbd8393a09ec49d
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Fish Abundance

description: These data describe annual estimates of the density of fish in main channel and tidal creek habitats collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of fish is determined using beach seine and enclosure trap sampling at six main channel and six tidal creek locations at each wetland. Both seine and enclosure trap sampling consist of several hauls through an enclosed volume of water. Sampling is conducted annually in early fall.
DOI: 10.6073/pasta/79dc8f29d322884c17eb7b12474f38c0
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Invertebrate Abundance

description: These data describe the abundance of invertebrate species sampled in quadrats and sediment cores as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity and assess compliance of the restoration project with conditions in the SONGS Coastal Development permit. This study began in 2012 in the San Dieguito Lagoon and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. The abundance of invertebrates in quadrats and sediment cores was recorded at six main channel and six tidal creek locations at each wetland.
DOI: 10.6073/pasta/aeee3f4c4a9becd5581c9870cf9b2333
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Plant Reproductive Success

description: These data describe annual estimates of seed set for seven common salt marsh plant species at the San Dieguito Wetland collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012.
DOI: 10.6073/pasta/d3454f47d8c0d4ba588eb043cf8056d1
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Spartina Size Structure

description: These data describe annual estimates of Spartina foliosa size structure collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA. The height of Spartina stems were recorded along four transects at each wetland.
DOI: 10.6073/pasta/2bdffa95a9d95e29bfc977d5ad0edad5
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Tidal Volumetric Flow Rate

description: These data describe annual estimates of tidal volumetric flow rate collected as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands in San Diego County, CA. The tidal volumetric flow rate into the wetland between low and high tide was sampled 24 times annually along a cross section transect of the main channel located 0.9 km from the inlet.
DOI: 10.6073/pasta/468ce769887a738c52d9e05f45979bca
title: UCSB SONGS Mitigation Monitoring: Wetland Survey - Water Quality

description: These data describe measurements of water characteristics (temperature, salinity, and dissolved oxygen) collected as part of the SONGS San Dieguito Wetland Restoratio mitigation monitoring program designed to evaluate compliance of the restoration project with conditions of the SONGS permit. Monitoring began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. Measurements of water depth, temperature, salinity, and dissolved oxygen were recorded daily in fifteen minute intervals at two sampling stations (primary and backup) at the San Dieguito Wetland, Carpinteria Salt Marsh, and Mugu Lagoon, and one sampling station (primary) at the Tijuana Estuary.
DOI: 10.6073/pasta/159ed90ad6acca7fc286540ced81a34e
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Bird Abundance and Species Richness

description: These data describe the annual estimates of bird density and richness (as a species density) in twenty plots at four coastal wetlands as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity. This study began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA.
DOI: 10.6073/pasta/a4077fdfa4d1aa507e085cd35e35f810
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Bird Food Chain Support

description: These data describe annual estimates of the density of feeding birds at four coastal wetlands as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in food chain support provided to birds. This study began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Point Mugu Lagoon in Ventura County.
DOI: 10.6073/pasta/db5da7fe9706761cf47ba926822f5a93
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Fish Abundance and Species Richness

description: These data describe the annual estimates of density of wetland fish (all species combined) and the species richness (as the number of unique species) in six main channel and six tidal creek locations at four coastal wetlands as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity. This study began in 2012 in the San Dieguito Wetland in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA. Tijuana Estuary in San Diego County was added in 2013.
DOI: 10.6073/pasta/e952b08097eb07cc91b66f524f66c63b
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Invertebrate Abundance and Richness

description: These data contain annual estimates of the density of wetland macroinvertebrates (all species combined) and species richness (as a species density) in six main channel and six tidal creek locations at four coastal wetlands as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity. This study began in 2012 in the San Dieguito Wetland and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA.
DOI: 10.6073/pasta/dd9e6b95807858556e8bb181418454d8
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Plant Reproductive Success

description: These data describe annual estimates reproductive success (measured by seed set) of salt marsh plants at the San Dieguito Wetland as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program designed to track long-term patterns in reproductive success of wetland plants. Monitoring began in 2012.
DOI: 10.6073/pasta/3601d3aa187c2a5a4afc8f6a99cf4c17
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Spartina Canopy

description: These data describe annual estimates of Spartina foliosa canopy architecture (measured as proportion of stems &gt; 3 ft long) from four locations at two coastal wetlands as part of the SONGS San Dieguito Wetland Restoration mitigation monitoring program to track long-term patterns in Spartina size structure. This study began in 2012 in the San Dieguito Wetlands and Tijuana Estuary in San Diego County, CA.