cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29828790.v1
title: Data-driven prediction of subsystem dynamics in the explicit co-simulation of multibody systems

description: Co-simulation is an effective way to predict the dynamics of complex engineering setups, in which the main system is divided into subsystems. Each subsystem is integrated by a particular solver, and the coordination of these simulation units is coordinated by means of the exchange of limited amounts of information at specific points in time. This enables the implementation of modular computing environments, but it often introduces numerical errors in the solution that deteriorate the quality of the results and may eventually lead to the instability of the integration. Implicit co-simulation schemes remove these errors by iterating over each step. In explicit co-simulation setups this is not possible and alternative solutions are necessary. This work presents a data-driven approach to predict subsystem dynamics in explicit co-simulation setups, aimed at mitigating the energy errors introduced by the discrete-time co-simulation interface. The proposed solution only uses information contained in the coupling variables exchanged between subsystems and does not need knowledge of their internal details. The method has been tested with nonlinear and multirate benchmark problems. Results confirmed the ability of the proposed solution to remove numerical errors caused by the coupling interface and improve the accuracy and stability of the co-simulation of the overall system dynamics.
DOI: 10.17632/zb3m6tk3sb
title: Replication package for "Entrepreneurship and the Gig Economy: Evidence from U.S. Tax Returns"

description: Replication package for "Entrepreneurship and the Gig Economy: Evidence from U.S. Tax Returns"
DOI: 10.17632/zb3m6tk3sb.2
title: Replication package for "Entrepreneurship and the Gig Economy: Evidence from U.S. Tax Returns"

description: Replication package for "Entrepreneurship and the Gig Economy: Evidence from U.S. Tax Returns"
DOI: 10.15468/dl.wfdmxf
title: Occurrence Download

description: A dataset containing 70011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Material sample)",
 "GadmGid is one of (DEU.1_1, DEU.1.2_1, DEU.1.2.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Colletidae, Megachilidae, Melittidae, Apidae, Andrenidae, Halictidae)"
 ]
}

 The dataset includes 70011 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015090-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29828618
title: Research on the nonlinear relationship between street form and vitality in community-type subway station areas based on machine learning

description: Numerous studies have investigated the relationship between street spatial form and vitality. However, these studies often rely on small sample sizes, assume a linear response of crowd spatiotemporal behavior to urban form characteristics, and employ statistical methods with inherent limitations. In addition, the temporal variation in the influence of urban form on street vitality, particularly across different times of day, has not been sufficiently examined. To address these gaps, this study evaluates three dimensions of urban form, namely network form, interface form, and functional form, using 183 sets of street spatial data from representative community-based rail station areas in Beijing. It analyzes street vitality during representative measurement periods for three distinct hours during summer. Four machine learning models and two traditional linear regression models were constructed and compared. The results indicate that the Gradient Boosting Decision Tree model, which incorporates spatial information, achieves the highest accuracy. Feature importance analysis reveals that during the morning period, interface form variables, such as interface density and line alignment ratio, have a greater impact on crowd behavior, whereas during midday and nighttime, network and functional form variables, such as network density and functional diversity, are more influential. Partial Dependence Plot analysis further demonstrates that street spatial form characteristics influence crowd spatiotemporal behavior in complex, nonlinear patterns, with temporal variations in effect. These findings offer valuable guidance for urban planners seeking to optimize spatial layouts around rail station areas and predict patterns of crowd activity.
DOI: 10.6084/m9.figshare.29828618.v2
title: Research on the nonlinear relationship between street form and vitality in community-type subway station areas based on machine learning

description: Numerous studies have investigated the relationship between street spatial form and vitality. However, these studies often rely on small sample sizes, assume a linear response of crowd spatiotemporal behavior to urban form characteristics, and employ statistical methods with inherent limitations. In addition, the temporal variation in the influence of urban form on street vitality, particularly across different times of day, has not been sufficiently examined. To address these gaps, this study evaluates three dimensions of urban form, namely network form, interface form, and functional form, using 183 sets of street spatial data from representative community-based rail station areas in Beijing. It analyzes street vitality during representative measurement periods for three distinct hours during summer. Four machine learning models and two traditional linear regression models were constructed and compared. The results indicate that the Gradient Boosting Decision Tree model, which incorporates spatial information, achieves the highest accuracy. Feature importance analysis reveals that during the morning period, interface form variables, such as interface density and line alignment ratio, have a greater impact on crowd behavior, whereas during midday and nighttime, network and functional form variables, such as network density and functional diversity, are more influential. Partial Dependence Plot analysis further demonstrates that street spatial form characteristics influence crowd spatiotemporal behavior in complex, nonlinear patterns, with temporal variations in effect. These findings offer valuable guidance for urban planners seeking to optimize spatial layouts around rail station areas and predict patterns of crowd activity.
DOI: 10.6084/m9.figshare.29828618.v1
title: Research on the nonlinear relationship between street form and vitality in community-type subway station areas based on machine learning

description: Numerous studies have investigated the relationship between street spatial form and vitality. However, these studies often rely on small sample sizes, assume a linear response of crowd spatiotemporal behavior to urban form characteristics, and employ statistical methods with inherent limitations. In addition, the temporal variation in the influence of urban form on street vitality, particularly across different times of day, has not been sufficiently examined. To address these gaps, this study evaluates three dimensions of urban form, namely network form, interface form, and functional form, using 183 sets of street spatial data from representative community-based rail station areas in Beijing. It analyzes street vitality during representative measurement periods for three distinct hours during summer. Four machine learning models and two traditional linear regression models were constructed and compared. The results indicate that the Gradient Boosting Decision Tree model, which incorporates spatial information, achieves the highest accuracy. Feature importance analysis reveals that during the morning period, interface form variables, such as interface density and line alignment ratio, have a greater impact on crowd behavior, whereas during midday and nighttime, network and functional form variables, such as network density and functional diversity, are more influential. Partial Dependence Plot analysis further demonstrates that street spatial form characteristics influence crowd spatiotemporal behavior in complex, nonlinear patterns, with temporal variations in effect. These findings offer valuable guidance for urban planners seeking to optimize spatial layouts around rail station areas and predict patterns of crowd activity.
DOI: 10.17632/98gg4jzbkb
title: [DATASET] A fingerprint of source-specific health risk of PM2.5-bound components over a coastal industrial city

description: This study employs a novel integrated approach whereby we combine receptor-based source apportionment with conditional logistic regression models for the first time. This approach enabled us to comprehensively examine the association between source-specific PM2.5-bound species and cardiorespiratory disease hospital admissions in Joinville, a coastal industrial city in Brazil. 
The data shared here has been employed in this analysis. 
The code used can be found at: DOI: 10.5281/zenodo.12707700
This work is currently under evaluation for publication.
DOI: 10.17632/98gg4jzbkb.2
title: [DATASET] A fingerprint of source-specific health risk of PM2.5-bound components over a coastal industrial city

description: This study employs a novel integrated approach whereby we combine receptor-based source apportionment with conditional logistic regression models for the first time. This approach enabled us to comprehensively examine the association between source-specific PM2.5-bound species and cardiorespiratory disease hospital admissions in Joinville, a coastal industrial city in Brazil. 
The data shared here has been employed in this analysis. 
The code used can be found at: DOI: 10.5281/zenodo.12707700
This work is currently under evaluation for publication.
DOI: 10.15468/dl.dyjbs5
title: Occurrence Download

description: A dataset containing 21483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoborus myotherinus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 21483 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015128-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jhrbc9s9w4.1
title: A dataset for behavior monitoring babies in Neonatal Intensive Care Units

description: Description. A dataset for babies in Neonatal Intensive Care Units.
Dataset 1: 
Contains two classes (Crying vs. Normal): Total samples = 4199 images. 
Dataset 2: Contains two classes (Awake vs. Sleep): Total samples = 2522 images
DOI: 10.25574/22985
title: Chandra X-ray Observatory ObsId 22985

description: Star formation in starburst: a deep ACIS-I observation of Westerlund 1
DOI: 10.15468/dl.hcuhr6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACP8829"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015130-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23050
title: Chandra X-ray Observatory ObsId 23050

description: Chandra in the SMOG: Star Formation in the Outer Galaxy
DOI: 10.25574/23322
title: Chandra X-ray Observatory ObsId 23322

description: Essential Ultraviolet Stellar Characterization for Guaranteed JWST Transiting Planet Targets
DOI: 10.25574/23325
title: Chandra X-ray Observatory ObsId 23325

description: EFFECTS OF RECENT PERIASTRON PASSAGE AND ECLIPSE IN THE SYMBIOTIC SYSTEM R AQR
DOI: 10.48324/dandi.001274/0.250805.1401
title: Characterization of Plasma Membrane Polarization in Hippocampal Neurons During Sine Wave and Modulated Sine Wave Stimulation

description: This experimental series aimed to visualize and characterize plasma membrane (PM) polarization dynamics in hippocampal neurons exposed to 2 kHz sine waves or 2 kHz sine waves modulated at 100 Hz or 154 Hz. Neurons were pre-loaded with FluoVolt potentiometric dye to enable visualization of membrane polarization changes. This study was partially supported by the NIH Brain Initiative (NEI R21EY034803).
DOI: 10.15468/dl.nv2era
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015132-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66rw4v
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoderus eowilsoni)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015133-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16745335
title: Construction of Non-Selectable Reals Outside AC Models via a Generalization of Cantor' s Diagonal Argument

description: A set-theoretic model satisfying the Axiom of Choice (AC) is, by Skolem’s theorem, countable when viewed from a metatheoretical perspective.From this, we assume that the reals within the model can be enumerated metatheoretically, and by applying Cantor’s diagonal argument, we are led to the existence of “non-selectable reals” outside the model.Building upon this observation, the present paper constructively and explicitly demonstrates, through a generalization of Cantor’s diagonal argument based on finite partial functions and their amalgamation procedure, that uncountably many reals inaccessible by AC-based choice functions exist outside the AC model.Thus, we provide a method for explicitly constructing objects that were previously known to exist only “non-constructively.”Although the theorems employed are classical, their operational reconstruction renders visible the logical gap between the inside and outside of the model.

This paper deliberately refrains from detailed comparison with existing forcing methods, focusing instead on enabling the reader to directly retrace the procedure of the construction.
description: Version 3

 



In the Japanese version, the open interval was revised to a closed interval, and certain notational adjustments were made.

The English version was added.
DOI: 10.15468/dl.5jygae
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015131-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpyabj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coregonus baerii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015134-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16745449
title: C++ Source code

description: C++ code for the following Paper to be published in IISE Transactions: 

An Approximate Periodic Review Stochastic Inventory Control System with Both Fixed Cost and Random Yield
DOI: 10.5281/zenodo.16745450
title: C++ Source code

description: C++ code for the following Paper to be published in IISE Transactions: 

An Approximate Periodic Review Stochastic Inventory Control System with Both Fixed Cost and Random Yield
DOI: 10.4121/d447aca0-c13b-4c86-a414-7d548b3c20bf
title: Experimental Dataset on Tape Lateral Movement at the Compaction Roller during AFP Composite Layup under Steering Conditions

description: An experimental setup involving a camera on an AFP head was implemented to measure tow lateral movement during layup of AFP composites in steering conditions. This dataset contains the recorded tow position on the compaction roller for steering radii varying from 1000mm to 2000mm. A readme file explains the file structure of the dataset.
DOI: 10.4121/d447aca0-c13b-4c86-a414-7d548b3c20bf.v1
title: Experimental Dataset on Tape Lateral Movement at the Compaction Roller during AFP Composite Layup under Steering Conditions

description: An experimental setup involving a camera on an AFP head was implemented to measure tow lateral movement during layup of AFP composites in steering conditions. This dataset contains the recorded tow position on the compaction roller for steering radii varying from 1000mm to 2000mm. A readme file explains the file structure of the dataset.
DOI: 10.15468/dl.hf44wk
title: Occurrence Download

description: A dataset containing 4080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoderus ferrugineus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 4080 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015136-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7ffyzstsdp
title: Denoised ambient noise cross-correlation for a linear array across Chenghai fault

description: In January 2018, a linear dense array was deployed and operated for approximately one month, crossing the central-to-southern portion of the Chenghai Fault (CHF) (Yang et al., 2020). The array comprised 158 short-period three-component sensors with an inter-station spacing of about 40–50 m, covering a distance of approximately 8 km. Situated beneath the center of the array is the Binchuan Basin. However, due to the low signal-to-noise ratio of surface waves in the ambient noise cross-correlation (ANC) data, the tomographic model based on the raw ANC data was overly smoothed, limiting its ability to resolve detailed lateral variations within the basin or features associated with the underlying CHF.
To improve imaging resolution, we apply the three-station-interferometry-based denoising method (Qiu et al., 2021). This denoising process iteratively enhances the SNR of surface wave signals, particularly at high frequencies, and achieves clear convergence after three iterations.
The denoised ANC data, along with a Python script demonstrating how to read it, is provided here.

References
Yang, H., Duan, Y., Song, J., Jiang, X., Tian, X., Yang, W., et al. (2020). Fine Structure of the Chenghai Fault Zone, Yunnan, China, Constrained From Teleseismic Travel Time and Ambient Noise Tomography. Journal of Geophysical Research: Solid Earth, 125(7), 1–14. https://doi.org/10.1029/2020JB019565
Qiu, H., Niu, F., & Qin, L. (2021). Denoising Surface Waves Extracted From Ambient Noise Recorded by 1-D Linear Array Using Three-Station Interferometry of Direct Waves. Journal of Geophysical Research: Solid Earth, 126(8), 1–18. https://doi.org/10.1029/2021JB021712
DOI: 10.17632/7ffyzstsdp.1
title: Denoised ambient noise cross-correlation for a linear array across Chenghai fault

description: In January 2018, a linear dense array was deployed and operated for approximately one month, crossing the central-to-southern portion of the Chenghai Fault (CHF) (Yang et al., 2020). The array comprised 158 short-period three-component sensors with an inter-station spacing of about 40–50 m, covering a distance of approximately 8 km. Situated beneath the center of the array is the Binchuan Basin. However, due to the low signal-to-noise ratio of surface waves in the ambient noise cross-correlation (ANC) data, the tomographic model based on the raw ANC data was overly smoothed, limiting its ability to resolve detailed lateral variations within the basin or features associated with the underlying CHF.
To improve imaging resolution, we apply the three-station-interferometry-based denoising method (Qiu et al., 2021). This denoising process iteratively enhances the SNR of surface wave signals, particularly at high frequencies, and achieves clear convergence after three iterations.
The denoised ANC data, along with a Python script demonstrating how to read it, is provided here.

References
Yang, H., Duan, Y., Song, J., Jiang, X., Tian, X., Yang, W., et al. (2020). Fine Structure of the Chenghai Fault Zone, Yunnan, China, Constrained From Teleseismic Travel Time and Ambient Noise Tomography. Journal of Geophysical Research: Solid Earth, 125(7), 1–14. https://doi.org/10.1029/2020JB019565
Qiu, H., Niu, F., & Qin, L. (2021). Denoising Surface Waves Extracted From Ambient Noise Recorded by 1-D Linear Array Using Three-Station Interferometry of Direct Waves. Journal of Geophysical Research: Solid Earth, 126(8), 1–18. https://doi.org/10.1029/2021JB021712
DOI: 10.15468/dl.nh547b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC1133"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015137-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5f4f7dhg8y
title: Huang 0805

description: Raw data for the submission of a manuscript titled with: Development of a strain-stiffening gelatin hydrogel for high-resolution 3D printing and improved osteogenesis of mesenchymal stem cells
DOI: 10.17632/5f4f7dhg8y.1
title: Huang 0805

description: Raw data for the submission of a manuscript titled with: Development of a strain-stiffening gelatin hydrogel for high-resolution 3D printing and improved osteogenesis of mesenchymal stem cells
DOI: 10.15468/dl.8ybzhx
title: Occurrence Download

description: A dataset containing 3128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myrmoderus loricatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 3128 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015138-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rpv56f834v
title: Modeling data

description: The data set includes : slope position, slope, soil physical and chemical, plant diversity and microbial diversity data. The LMM model, hierarchical segmentation model and SEM model in this paper can be reproduced.
DOI: 10.17632/rpv56f834v.1
title: Modeling data

description: The data set includes : slope position, slope, soil physical and chemical, plant diversity and microbial diversity data. The LMM model, hierarchical segmentation model and SEM model in this paper can be reproduced.