cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10562679
title: Data needed to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests"

description: Data to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests".

This includes:



Tree ring data (meyer, bdn, principe, dittmar)

LPJ-GUESS model output (frost_validation, frost_sensitivity, runs_22012024_revision)

Data used for plotting
DOI: 10.5281/zenodo.10562678
title: Data needed to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests"

description: Data to reproduce analysis from "Frost matters: Incorporating late-spring frost in a dynamic vegetation model regulates regional productivity dynamics in European beech forests".

This includes:



Tree ring data (meyer, bdn, principe, dittmar)

LPJ-GUESS model output (frost_validation, frost_sensitivity, runs_22012024_revision)

Data used for plotting
DOI: 10.5281/zenodo.10817765
title: campanula_jacobaea_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10817766
title: campanula_jacobaea_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10276663
title: Dataset to Why Hydrogen Dissociation Catalysts do not Work for Hydrogenation of Magnesium by Selim Kazaz et al.,, Fig. 1, 2, 3, 4 , 5 ,6

description: Datasets to publication S. Kazaz et al, Adv. Sci. 2023, 2304603c; Why Hydrogen Dissociation Catalysts do not Work for Hydrogenation of Magnesium; additional data/explanation upon request (corresponding authors)
DOI: 10.5281/zenodo.10276664
title: Dataset to Why Hydrogen Dissociation Catalysts do not Work for Hydrogenation of Magnesium by Selim Kazaz et al.,, Fig. 1, 2, 3, 4 , 5 ,6

description: Datasets to publication S. Kazaz et al, Adv. Sci. 2023, 2304603c; Why Hydrogen Dissociation Catalysts do not Work for Hydrogenation of Magnesium; additional data/explanation upon request (corresponding authors)
DOI: 10.5281/zenodo.10551236
title: Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures

description: Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures. This dataset accompanies Wallis et al. (2024); further details of the dataset and its creation can be found in the attached readme file and Wallis et al. (2024).

---

References

Wallis, E.J., Osborn, T.J., Taylor, M., Jones, P.D., Joshi, M. & Hawkins, E. (2024) Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, https://doi.org/10.1002/joc.8401
DOI: 10.5281/zenodo.10551235
title: Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures

description: Compilation of parallel measurements comparing the temperatures recorded in Stevenson screens with those recorded in pre-Stevenson screen thermometer exposures. This dataset accompanies Wallis et al. (2024); further details of the dataset and its creation can be found in the attached readme file and Wallis et al. (2024).

---

References

Wallis, E.J., Osborn, T.J., Taylor, M., Jones, P.D., Joshi, M. & Hawkins, E. (2024) Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, https://doi.org/10.1002/joc.8401
DOI: 10.5281/zenodo.7901680
title: Colon Data - Lipid MSI from Chronic Pain Model (Rat)

description: Rat model of comorbid visceral pain. Colon tissues swiss-rolled in 2% gelatin. Cryosections at 12 um thickness. Norharmane matrix, negative ion mode lipid scans by MALDI-MSI at 50um spatial resolution. Converted from native file structure to the common file format, .imzML. Compressed zip folders contain both the .ibd and .imzML files.


Data used in: Kasun Pathirage, Aman Virmani, Alison Scott, Richard Traub, Robert Ernst, Reza Ghodssi, Behtash Babadi, and Pamela Abshire. (2023). “Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization,” bioRxiv 2023.04.24.538180. doi: https://doi.org/10.1101/2023.04.24.538180
DOI: 10.5281/zenodo.7901681
title: Colon Data - Lipid MSI from Chronic Pain Model (Rat)

description: Rat model of comorbid visceral pain. Colon tissues swiss-rolled in 2% gelatin. Cryosections at 12 um thickness. Norharmane matrix, negative ion mode lipid scans by MALDI-MSI at 50um spatial resolution. Converted from native file structure to the common file format, .imzML. Compressed zip folders contain both the .ibd and .imzML files.


Data used in: Kasun Pathirage, Aman Virmani, Alison Scott, Richard Traub, Robert Ernst, Reza Ghodssi, Behtash Babadi, and Pamela Abshire. (2023). “Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization,” bioRxiv 2023.04.24.538180. doi: https://doi.org/10.1101/2023.04.24.538180
DOI: 10.5281/zenodo.10817946
title: Evaluation Artifacts of RESTRuler, a Static Analysis Tool to Detect Design Rule Violations in OpenAPI Definitions

description: All artifacts related to the empirical evaluation of the RESTRuler CLI, a Java-based tool to identify design rule violations in OpenAPI descriptions

You can find the latest version here: https://github.com/restful-ma/rest-ruler-evaluation
DOI: 10.5281/zenodo.10246326
title: Evaluation Artifacts of RESTRuler, a Static Analysis Tool to Detect Design Rule Violations in OpenAPI Definitions

description: All artifacts related to the empirical evaluation of the RESTRuler CLI, a Java-based tool to identify design rule violations in OpenAPI descriptions

You can find the latest version here: https://github.com/restful-ma/rest-ruler-evaluation
DOI: 10.5281/zenodo.10798002
title: Machining Simulated Data, Modal 0, 2 Cutting Teeth

description: This is a simulated data set for machining data based on the work done by T. Schmitz, K. Smith, Machining Dynamics: Frequency Response to Improved Productivity, Second Edition (Springer, New York, NY, 2019).

This is Modal 0, with 2 cutting teeth across forces from 600-800
DOI: 10.5281/zenodo.10798001
title: Machining Simulated Data, Modal 0, 2 Cutting Teeth

description: This is a simulated data set for machining data based on the work done by T. Schmitz, K. Smith, Machining Dynamics: Frequency Response to Improved Productivity, Second Edition (Springer, New York, NY, 2019).

This is Modal 0, with 2 cutting teeth across forces from 600-800
DOI: 10.5281/zenodo.10817791
title: Machining Simulated Data, Modal 0, 2 Cutting Teeth

description: This is a simulated data set for machining data based on the work done by T. Schmitz, K. Smith, Machining Dynamics: Frequency Response to Improved Productivity, Second Edition (Springer, New York, NY, 2019).

This is Modal 0, with 2 cutting teeth across forces from 600-800
DOI: 10.5281/zenodo.10809364
title: Exploring localized ENZ resonances and their role in superscattering, wideband invisibility, and tunable scattering

description: The files contain the data generated by MATLAB and a sample MATLAB code for the selected figures. 

Research founded by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.
DOI: 10.5281/zenodo.10809365
title: Exploring localized ENZ resonances and their role in superscattering, wideband invisibility, and tunable scattering

description: The files contain the data generated by MATLAB and a sample MATLAB code for the selected figures. 

Research founded by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.
DOI: 10.21227/c8r5-6h79
title: Millimeter Wave 60 GHz Radar Measurements: UAS and Birds 

description: The results are based on the measurements conducted on small drones and a bionic bird using a 60 GHz millimeter wave radar, analyzing their micro-Doppler characteristics in both time and frequency domain. The results are presented in .pkl format. The more detailed description of the data and how the authors processed it will be updated soon.
DOI: 10.5281/zenodo.10814420
title: Data for "From Kitchen Garden to Multifunctionality: Leek-inspired Surface Structures Introduce Optical and Self-cleaning Properties to Cellulose-based Films"

description: UV-Vis:The optical properties were measured from 300 nm to 800 nm. The transmittance and haze were calculated using the following equations, and the results were reported for three sets of measurements:Transmittance (%) = T2/T1  × 100                Haze (%) = (T4/T2 - T3/T1) × 100                    where  T1 is the reference transmitted light without the sample, T2 is the total light transmitted with the presence of the sample, T3 is light beam scattering by the UV-Vis device, and T4 is the diffusive transmittance, referring to the light transmitted by both the sample and the device. The zip files are named by noting 'UV-Vis' followed by the type of sample.

Current density-Voltage:Seven sets of measurements were conducted on perovskite solar cell (PSC) devices, comparing the performance of uncoated (noted as pristine) devices to those coated with the replica. Additionally, another seven sets of measurements compared the performance of devices with and without the replica+2%CW coating. The data are recorded in .txt files noted by 'Current density-Voltage spectra.'

Light scattering with halogen light beam:The intensity of the illuminated light is determined for the length of a horizontal line passing through the center by using image analysis. The intensities are provided for all the cases, i,e,. with no film, with plain CA film, and with the replica. The .txt file is named 'Light scattering with halogen light beam.'
DOI: 10.5281/zenodo.10814421
title: Data for "From Kitchen Garden to Multifunctionality: Leek-inspired Surface Structures Introduce Optical and Self-cleaning Properties to Cellulose-based Films"

description: UV-Vis:The optical properties were measured from 300 nm to 800 nm. The transmittance and haze were calculated using the following equations, and the results were reported for three sets of measurements:Transmittance (%) = T2/T1  × 100                Haze (%) = (T4/T2 - T3/T1) × 100                    where  T1 is the reference transmitted light without the sample, T2 is the total light transmitted with the presence of the sample, T3 is light beam scattering by the UV-Vis device, and T4 is the diffusive transmittance, referring to the light transmitted by both the sample and the device. The zip files are named by noting 'UV-Vis' followed by the type of sample.

Current density-Voltage:Seven sets of measurements were conducted on perovskite solar cell (PSC) devices, comparing the performance of uncoated (noted as pristine) devices to those coated with the replica. Additionally, another seven sets of measurements compared the performance of devices with and without the replica+2%CW coating. The data are recorded in .txt files noted by 'Current density-Voltage spectra.'

Light scattering with halogen light beam:The intensity of the illuminated light is determined for the length of a horizontal line passing through the center by using image analysis. The intensities are provided for all the cases, i,e,. with no film, with plain CA film, and with the replica. The .txt file is named 'Light scattering with halogen light beam.'
DOI: 10.5281/zenodo.10817980
title: Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light

description: Dataset of the publication "Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light" H. Rose, P. R. Sharapova, and T. Meier, Proc. SPIE 12884, Ultrafast Phenomena and Nanophotonics XXVIII, 1288403 (2024). ( https://doi.org/10.1117/12.2690245 ). The zip file includes the data on which the plots shown in figures 1 and 2 are based.
description: We are grateful for financial support from the Deutsche Forschungsgemeinschaft (DFG) through the Collaborative Research Center ”Tailored Nonlinear Photonics” TRR 142/3 (project number 231447078, subproject A02). We thank the Paderborn Center for Parallel Computing (PC^2) for a computation time grant.
DOI: 10.5281/zenodo.10817981
title: Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light

description: Dataset of the publication "Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light" H. Rose, P. R. Sharapova, and T. Meier, Proc. SPIE 12884, Ultrafast Phenomena and Nanophotonics XXVIII, 1288403 (2024). ( https://doi.org/10.1117/12.2690245 ). The zip file includes the data on which the plots shown in figures 1 and 2 are based.
description: We are grateful for financial support from the Deutsche Forschungsgemeinschaft (DFG) through the Collaborative Research Center ”Tailored Nonlinear Photonics” TRR 142/3 (project number 231447078, subproject A02). We thank the Paderborn Center for Parallel Computing (PC^2) for a computation time grant.
DOI: 10.5281/zenodo.7505441
title: Projections of the Timing of Decreasing Coastal Flood Protection

description: This data set contains projections of the timing of decreasing coastal flood protection (i.e., projections of the timing of frequency amplifications of estimated flood protection standards) associated with Hermans et al. (in revision), The Timing of Decreasing Coastal Flood Protection Due to Sea-Level Rise. It contains the output of extreme value analysis of high-frequency GESLA3 tide gauge observations (daily maxima, generalized Pareto distribution fits and return curves), total AR6 sea-level projections interpolated to GESLA3 tide gauge locations, and the required sea-level rise for and the timing of frequency amplifications relative to estimated coastal flood protection standards (FLOPROS) or to the historical centennial event. Results are included for both automatically selected extremes thresholds and for a constant threshold of 98.8% at all locations.

The manuscript that this data accompanies can be found at https://www.nature.com/articles/s41558-023-01616-5.

The code used to produce this data can be found at https://github.com/Timh37/TimingAFs.

Required Acknowledgements and Citations

Users of this dataset are asked to cite:



The manuscript that this dataset accompanies: Hermans, T.H.J., Malagón-Santos, V., Katsman, C.A. et al. The timing of decreasing coastal flood protection due to sea-level rise. Nat. Clim. Chang. 13, 359–366 (2023). https://doi.org/10.1038/s41558-023-01616-5

Garner, G. G., T.H.J. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5281/zenodo.5914709

Tiggeloven, T., de Moel, H., Winsemius, H. C., Eilander, D., Erkens, G., Gebremedhin, E., Diaz Loaiza, A., Kuzma, S., Luo, T., Iceland, C., Bouwman, A., van Huijstee, J., Ligtvoet, W., and Ward, P. J.: Global-scale benefit–cost analysis of coastal flood adaptation to different flood risk drivers using structural measures, Nat. Hazards Earth Syst. Sci., 20, 1025–1044, https://doi.org/10.5194/nhess-20-1025-2020, 2020


R.E.K. was supported by the National Science Foundation (NSF) as part of the Megalopolitan Coastal Transformation Hub (MACH) under NSF award ICER-2103754. T.H.J.H., V.M.-S. and A.B.A.S. were supported by PROTECT. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 869304, PROTECT contribution number TBD.
DOI: 10.5281/zenodo.7505442
title: Projections of the Timing of Decreasing Coastal Flood Protection

description: This data set contains projections of the timing of decreasing coastal flood protection (i.e., projections of the timing of frequency amplifications of estimated flood protection standards) associated with Hermans et al. (in revision), The Timing of Decreasing Coastal Flood Protection Due to Sea-Level Rise. It contains the output of extreme value analysis of high-frequency GESLA3 tide gauge observations (daily maxima, generalized Pareto distribution fits and return curves), total AR6 sea-level projections interpolated to GESLA3 tide gauge locations, and the required sea-level rise for and the timing of frequency amplifications relative to estimated coastal flood protection standards (FLOPROS) or to the historical centennial event. Results are included for both automatically selected extremes thresholds and for a constant threshold of 98.8% at all locations.

The manuscript that this data accompanies can be found at https://www.nature.com/articles/s41558-023-01616-5.

The code used to produce this data can be found at https://github.com/Timh37/TimingAFs.

Required Acknowledgements and Citations

Users of this dataset are asked to cite:



The manuscript that this dataset accompanies: Hermans, T.H.J., Malagón-Santos, V., Katsman, C.A. et al. The timing of decreasing coastal flood protection due to sea-level rise. Nat. Clim. Chang. 13, 359–366 (2023). https://doi.org/10.1038/s41558-023-01616-5

Garner, G. G., T.H.J. Hermans, R. E. Kopp, A. B. A. Slangen, T. L. Edwards, A. Levermann, S. Nowikci, M. D. Palmer, C. Smith, B. Fox-Kemper, H. T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S. S. Drijfhout, T. L. Edwards, N. R. Golledge, M. Hemer, G. Krinner, A. Mix, D. Notz, S. Nowicki, I. S. Nurhati, L. Ruiz, J-B. Sallée, Y. Yu, L. Hua, T. Palmer, B. Pearson, 2021. IPCC AR6 Global Mean Sea-Level Rise Projections. Version 20210809. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5281/zenodo.5914709

Tiggeloven, T., de Moel, H., Winsemius, H. C., Eilander, D., Erkens, G., Gebremedhin, E., Diaz Loaiza, A., Kuzma, S., Luo, T., Iceland, C., Bouwman, A., van Huijstee, J., Ligtvoet, W., and Ward, P. J.: Global-scale benefit–cost analysis of coastal flood adaptation to different flood risk drivers using structural measures, Nat. Hazards Earth Syst. Sci., 20, 1025–1044, https://doi.org/10.5194/nhess-20-1025-2020, 2020


R.E.K. was supported by the National Science Foundation (NSF) as part of the Megalopolitan Coastal Transformation Hub (MACH) under NSF award ICER-2103754. T.H.J.H., V.M.-S. and A.B.A.S. were supported by PROTECT. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 869304, PROTECT contribution number TBD.
DOI: 10.5281/zenodo.10213660
title: Thermal conductivity analysis of polymer-derived nano-composite via image-base structure reconstruction, computational homogenization and machine learning

description: This dataset includes supplementary data and utilities for validating simulation results and training machine learning models as outlined in the publication titled "Thermal Conductivity Analysis of Polymer-Derived Nanocomposite via Image-Based Structure Reconstruction, Computational Homogenization, and Machine Learning" (Fathidoost, 2024).

This dataset containes the microstructure images (identified by particle diameters size \(D_1\) and \(D_2\) volume fraction \(V_\mathrm{f}\) and aspect ratio \(A_\mathrm{r}\)) (see Table 1) and their corresponding homogenized thermal conductivity. these images resemble the microstructure of the monolithic \(\mathrm{(Hf,Ta)C/SiC}\) ceramic following FAST sintering, the material system of this work (Fathidoost, 2024). White and black colors within the images represent distinct regions of the material system,  respectively referring to former powder particles (FPPs) and sinter necks (SNs), which is explained in this work.

Table 1. Parameterized descriptors extracted from the mesoscale SEM image analysis




Param.
Mean [unit]
Std.


\(D_{1}\)
40, 50, 60 [μm]
20%


\(D_{2}\)
20, 25, 26, 30, 33, 40 [μm]
30%


\(V_\mathrm{f}\)
1.5, 2.0
-


\(A_\mathrm{r}\)
35, 40, 45, 55, 60 [%]
-




This dataset contains:



dataset.csv: containing a summary of data including the names of microstructure images, their corresponding geometric details, as well as the first and third principal components of two-point statistics for all images, along with the effective thermal conductivity of the corresponding microstructures. Further details can be found in the associated publication.

microstructures_images.zip: containing binary cross-section images of the RVEs from synthetic microstructures。

results.zip: contains all the simulation results based on digitized diffuse-interface microstructures, which can be opened by the post-processing software, such as ParaView.
DOI: 10.5281/zenodo.10213659
title: Thermal conductivity analysis of polymer-derived nano-composite via image-base structure reconstruction, computational homogenization and machine learning

description: This dataset includes supplementary data and utilities for validating simulation results and training machine learning models as outlined in the publication titled "Thermal Conductivity Analysis of Polymer-Derived Nanocomposite via Image-Based Structure Reconstruction, Computational Homogenization, and Machine Learning" (Fathidoost, 2024).

This dataset containes the microstructure images (identified by particle diameters size \(D_1\) and \(D_2\) volume fraction \(V_\mathrm{f}\) and aspect ratio \(A_\mathrm{r}\)) (see Table 1) and their corresponding homogenized thermal conductivity. these images resemble the microstructure of the monolithic \(\mathrm{(Hf,Ta)C/SiC}\) ceramic following FAST sintering, the material system of this work (Fathidoost, 2024). White and black colors within the images represent distinct regions of the material system,  respectively referring to former powder particles (FPPs) and sinter necks (SNs), which is explained in this work.

Table 1. Parameterized descriptors extracted from the mesoscale SEM image analysis




Param.
Mean [unit]
Std.


\(D_{1}\)
40, 50, 60 [μm]
20%


\(D_{2}\)
20, 25, 26, 30, 33, 40 [μm]
30%


\(V_\mathrm{f}\)
1.5, 2.0
-


\(A_\mathrm{r}\)
35, 40, 45, 55, 60 [%]
-




This dataset contains:



dataset.csv: containing a summary of data including the names of microstructure images, their corresponding geometric details, as well as the first and third principal components of two-point statistics for all images, along with the effective thermal conductivity of the corresponding microstructures. Further details can be found in the associated publication.

microstructures_images.zip: containing binary cross-section images of the RVEs from synthetic microstructures。

results.zip: contains all the simulation results based on digitized diffuse-interface microstructures, which can be opened by the post-processing software, such as ParaView.
DOI: 10.5281/zenodo.10439907
title: Data underlying findings reported in "Potentially Toxic Elements (PTEs) and Ecological Risk at Waste Disposal Sites:  An Analysis of Sanitary Landfills" (Plos One article)
DOI: 10.5281/zenodo.10439906
title: Data underlying findings reported in "Potentially Toxic Elements (PTEs) and Ecological Risk at Waste Disposal Sites:  An Analysis of Sanitary Landfills" (Plos One article)
DOI: 10.5281/zenodo.7850934
title: Protein Structure Files and Galaxy Workflows for Conducting Molecular Dynamics Simulations of Flavivirus Helicases -- Output Files

description: These are the output files generated using the input files and Galaxy workflows for flavivirus helicase simulations, from: 


https://doi.org/10.5281/zenodo.7493015