cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/576dvrrsdx.2
title: Permeability Prediction in 2D: Dataset and Trained Convolutional Neural Networks

description: The dataset was generated for the purpose of training convolutional neural network (CNN) models for permeability prediction of 2D structures. The whole dataset is part of a study on predicting permeability using CNNs, while addressing discussions that are largely absent from the current literature, such as the effect of data diversity in the accuracy, input pre-processing, error estimation, architecture comparisons, and sources of error. A link to the publication, which includes a lot more detail about the dataset and CNN models, will be added once it is published. 

The data included in this dataset is split into three different folders. The data under the "Training Data" folder includes 4,500 images, divided in 15 sub-folders. Each sub-folder contains 901 files, which are 300 images, a pressure-velocity map for each of the 300 structures, convergence data for each individual structure, and one comma-separated file (csv) summarizing all simulation results in the folder. The pressure and velocity maps together with the convergence information are direct results of the CFD algorithm used, but the important information for training the CNN models are the images and the permeability data in the csv files.

The "Trained CNNs" folder contains all of the trained CNN models as described in the linked publication for predicting permeability. That includes the ensemble of VGG19 networks. The "External Test Set" includes the same type of data as the "Training Data" folder, but this section of data was only used to test the CNN models. In other words, the trained CNN models never saw any of this data in training, only in testing. The "External Test Set" folder also includes data for phase-size distributions and surface area for all data in this repository. For more details on those, refer to the publication.

The CFD code and the image generation code can be found in the following GitHub, along with more extensive documentation: 
https://github.com/adama-wzr/PixelBasedPermeability/
DOI: 10.17632/6syz6ss66h
title: Wrong polycentricity-right polycentricity?: Insights from an empirical study in Tehran metropolitan region, Iran

description: Research Hypotheses and Key Findings
This study addresses a notable research gap by moving beyond traditional single-dimensional approaches to measuring polycentricity. Our central hypothesis is that the assessment of polycentricity is not static but dynamically influenced by a complex interplay of three key factors: boundary types, the number of centers, and temporal trends. We sought to determine how these variables, both individually and in combination, affect the measured degree and interpretation of polycentricity within the Tehran city-region over a 20-year period (1996, 2006, and 2016).

Notable Findings and Interpretation
The data reveals several significant findings that challenge conventional single-framework approaches to polycentricity measurement.
The Influence of Boundaries
• Significant Effect: Our LMM analysis demonstrates that boundary types (TP, TMR, and FUAT) have a significant impact on the measured degree of polycentricity for a majority of the indicators. This confirms that the geographical definition of an urban region fundamentally shapes its perceived spatial structure.
• Monocentric vs. Polycentric: A key finding is the distinct difference between the Tehran Province (TP) boundary, which consistently points to a monocentric structure, and the Tehran Metropolitan Region (TMR) and Functional Urban Area of Tehran (FUAT) boundaries, which show more polycentric structures. This highlights the critical role of boundary delineation—using a more functionally-defined area (TMR, FUAT) captures the true polycentric nature of the region more accurately than a formal administrative boundary (TP).
The Influence of Centers
• Non-Significant Effect: Surprisingly, the number of centers considered in the analysis did not have a statistically significant effect on the measured degree of polycentricity across most indicators. This suggests that for the Tehran city-region, varying thresholds for what constitutes a "center" (e.g., considering all centers versus only the top-ranked ones) may not be a primary determinant of the overall polycentricity level. This finding indicates that the spatial relationships between centers, rather than just their quantity, are the more critical factor.
The Power of Interaction
• Dynamic Relationships: The most compelling finding is the presence of significant interaction effects between time, boundaries, and the number of centers. This means that the influence of a boundary type on polycentricity is not constant; it changes over time and is affected by the number of centers being considered.
• Triple Interaction: A significant triple interaction among time, boundary types, and the number of centers was observed in a subset of indicators. This demonstrates that the combined influence of these three factors jointly shapes the polycentricity of the urban system in a complex, dynamic manner.
DOI: 10.17632/6syz6ss66h.1
title: Wrong polycentricity-right polycentricity?: Insights from an empirical study in Tehran metropolitan region, Iran

description: Research Hypotheses and Key Findings
This study addresses a notable research gap by moving beyond traditional single-dimensional approaches to measuring polycentricity. Our central hypothesis is that the assessment of polycentricity is not static but dynamically influenced by a complex interplay of three key factors: boundary types, the number of centers, and temporal trends. We sought to determine how these variables, both individually and in combination, affect the measured degree and interpretation of polycentricity within the Tehran city-region over a 20-year period (1996, 2006, and 2016).

Notable Findings and Interpretation
The data reveals several significant findings that challenge conventional single-framework approaches to polycentricity measurement.
The Influence of Boundaries
• Significant Effect: Our LMM analysis demonstrates that boundary types (TP, TMR, and FUAT) have a significant impact on the measured degree of polycentricity for a majority of the indicators. This confirms that the geographical definition of an urban region fundamentally shapes its perceived spatial structure.
• Monocentric vs. Polycentric: A key finding is the distinct difference between the Tehran Province (TP) boundary, which consistently points to a monocentric structure, and the Tehran Metropolitan Region (TMR) and Functional Urban Area of Tehran (FUAT) boundaries, which show more polycentric structures. This highlights the critical role of boundary delineation—using a more functionally-defined area (TMR, FUAT) captures the true polycentric nature of the region more accurately than a formal administrative boundary (TP).
The Influence of Centers
• Non-Significant Effect: Surprisingly, the number of centers considered in the analysis did not have a statistically significant effect on the measured degree of polycentricity across most indicators. This suggests that for the Tehran city-region, varying thresholds for what constitutes a "center" (e.g., considering all centers versus only the top-ranked ones) may not be a primary determinant of the overall polycentricity level. This finding indicates that the spatial relationships between centers, rather than just their quantity, are the more critical factor.
The Power of Interaction
• Dynamic Relationships: The most compelling finding is the presence of significant interaction effects between time, boundaries, and the number of centers. This means that the influence of a boundary type on polycentricity is not constant; it changes over time and is affected by the number of centers being considered.
• Triple Interaction: A significant triple interaction among time, boundary types, and the number of centers was observed in a subset of indicators. This demonstrates that the combined influence of these three factors jointly shapes the polycentricity of the urban system in a complex, dynamic manner.
DOI: 10.5281/zenodo.17187032
title: Filtered Datasets of Clinical Trials on Advanced Therapy Medicinal Products (ATMPs) from European and U.S. Registries
DOI: 10.17632/678mbbfvfn
title: Supplementary Materials for "Impact of ketotifen on cutaneous and neural tumor development in patients with neurofibromatosis type 1"

description: Supplementary Materials for "Impact of ketotifen on cutaneous and neural tumor development in patients with neurofibromatosis type 1"
DOI: 10.17632/678mbbfvfn.1
title: Supplementary Materials for "Impact of ketotifen on cutaneous and neural tumor development in patients with neurofibromatosis type 1"

description: Supplementary Materials for "Impact of ketotifen on cutaneous and neural tumor development in patients with neurofibromatosis type 1"
DOI: 10.17632/5f6565fdht
title: Plant macrofossil and testate-amoebae analysis for Linje peatland

description: The dataset contains results from plant macrofossil and testate amoeba analyses of a peat core retrieved from Linje peatland in 2019. The results are described in detail in Poolma et al.: The most complete Holocene peat record from Central Europe: multi-proxy reconstruction of postglacial wetness changes and climate events from Linje peatland, Poland, Clim. Past, 2025.

Plant macrofossils: Data (analyst: Eliise Poolma) were obtained using the Quadrat and Leaf Count protocols (Barber et al., 1994; Mauquoy et al., 2010). The Quadrat Method was used to estimate peat components as percentages, while the Sphagnum Leaf Count involved identifying 100 stem/branch leaves per sample to the highest possible taxonomic level. When the total Sphagnum abundance was ≤5% of a sample, species-level identification was not attempted. Subsamples (2–27 cm³) were analysed at 5–10 cm intervals between 2.5 and 1187.5 cm depth. Countable macrofossils (e.g., seeds, fruits, needles, bud scales) are standardised to a 5 cm³ volume.

Testate amoebae: (analysts: Katarzyna Marcisz and Patryk Fiutek) Subsamples of ~5 cm³ were analysed at 5 cm resolution from 0–1187.5 cm depth. Samples were prepared following Booth et al. (2010). The results were used for quantitative depth-to-water table (DWT) reconstruction, performed in RStudio using the Pan-European training set (Amesbury et al., 2016). DWT reconstruction is also in the dataset.

NMDS dataset: This dataset includes bryophyte and testate amoeba data used in the ordination analysis. Bryophyte percentages were recalculated from the general plant macrofossil dataset, considering only the relative proportions of bryophyte taxa. Here, the stratigraphical zones (defined from bryophytes) are also included.

References:
Amesbury, M. J., Swindles, G. T., Bobrov, A., Charman, D. J., Holden, J., Lamentowicz, M., Mallon, G., Mazei, Y., Mitchell, E. A. D., Payne, R. J., Roland, T. P., Turner, T. E., and Warner, B. G.: Development of a new pan-European testate amoeba transfer function for reconstructing peatland palaeohydrology, Quaternary Science Reviews, 152, 132–151, https://doi.org/10.1016/j.quascirev.2016.09.024, 2016.
Barber, K. E., Chambers, F. M., Maddy, D., Stoneman, R., and Brew, J. S.: A sensitive high-resolution record of late Holocene climatic change from a raised bog in northern England, The Holocene, 4, 198–205, https://doi.org/10.1177/095968369400400209, 1994.
Booth, R. K., Lamentowicz, M., and Charman, D. J.: Preparation and analysis of testate amoebae in peatland palaeoenvironmental studies, Mires and Peat, 2010.
Mauquoy, D., Hughes, P. D. M., and van Geel, B.: A protocol for plant macrofossil analysis of peat deposits, Mires and Peat, 7, 1–5, 2010.
DOI: 10.17632/5f6565fdht.1
title: Plant macrofossil and testate-amoebae analysis for Linje peatland

description: The dataset contains results from plant macrofossil and testate amoeba analyses of a peat core retrieved from Linje peatland in 2019. The results are described in detail in Poolma et al.: The most complete Holocene peat record from Central Europe: multi-proxy reconstruction of postglacial wetness changes and climate events from Linje peatland, Poland, Clim. Past, 2025.

Plant macrofossils: Data (analyst: Eliise Poolma) were obtained using the Quadrat and Leaf Count protocols (Barber et al., 1994; Mauquoy et al., 2010). The Quadrat Method was used to estimate peat components as percentages, while the Sphagnum Leaf Count involved identifying 100 stem/branch leaves per sample to the highest possible taxonomic level. When the total Sphagnum abundance was ≤5% of a sample, species-level identification was not attempted. Subsamples (2–27 cm³) were analysed at 5–10 cm intervals between 2.5 and 1187.5 cm depth. Countable macrofossils (e.g., seeds, fruits, needles, bud scales) are standardised to a 5 cm³ volume.

Testate amoebae: (analysts: Katarzyna Marcisz and Patryk Fiutek) Subsamples of ~5 cm³ were analysed at 5 cm resolution from 0–1187.5 cm depth. Samples were prepared following Booth et al. (2010). The results were used for quantitative depth-to-water table (DWT) reconstruction, performed in RStudio using the Pan-European training set (Amesbury et al., 2016). DWT reconstruction is also in the dataset.

NMDS dataset: This dataset includes bryophyte and testate amoeba data used in the ordination analysis. Bryophyte percentages were recalculated from the general plant macrofossil dataset, considering only the relative proportions of bryophyte taxa. Here, the stratigraphical zones (defined from bryophytes) are also included.

References:
Amesbury, M. J., Swindles, G. T., Bobrov, A., Charman, D. J., Holden, J., Lamentowicz, M., Mallon, G., Mazei, Y., Mitchell, E. A. D., Payne, R. J., Roland, T. P., Turner, T. E., and Warner, B. G.: Development of a new pan-European testate amoeba transfer function for reconstructing peatland palaeohydrology, Quaternary Science Reviews, 152, 132–151, https://doi.org/10.1016/j.quascirev.2016.09.024, 2016.
Barber, K. E., Chambers, F. M., Maddy, D., Stoneman, R., and Brew, J. S.: A sensitive high-resolution record of late Holocene climatic change from a raised bog in northern England, The Holocene, 4, 198–205, https://doi.org/10.1177/095968369400400209, 1994.
Booth, R. K., Lamentowicz, M., and Charman, D. J.: Preparation and analysis of testate amoebae in peatland palaeoenvironmental studies, Mires and Peat, 2010.
Mauquoy, D., Hughes, P. D. M., and van Geel, B.: A protocol for plant macrofossil analysis of peat deposits, Mires and Peat, 7, 1–5, 2010.
DOI: 10.17632/bcbvyccw34
title: Physico-Mechanical and Microstructural Properties of Plastic Geopolymer Composite

description: FTIR, XRD and XRF of fly ash, polypropylene(PP) and polyethylene-terephthalate (PET)
DOI: 10.17632/bcbvyccw34.1
title: Physico-Mechanical and Microstructural Properties of Plastic Geopolymer Composite

description: FTIR, XRD and XRF of fly ash, polypropylene(PP) and polyethylene-terephthalate (PET)
DOI: 10.17632/ky2mc98fh6
title: Passenger data

description: Passenger data
DOI: 10.17632/ky2mc98fh6.1
title: Passenger data

description: Passenger data
DOI: 10.15468/dl.mad59a
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spirobassia hirsuta",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009836-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74utvs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spirobassia hirsuta",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009838-250920141307145/datasets/export for details.
DOI: 10.17632/7c665vd8yc
title: Can government-guided funds promote innovation output in strategic emerging enterprises? Evidence from China

description: Using 9,138 data from 731 strategic emerging enterprises in China's A-share market between 2010 and 2023, this study explores the impact of government-guided funds on innovation in these enterprises and their underlying mechanisms. The main empirical findings are as follows: Firstly, there is a positive correlation between government-guided funds and innovation output in strategic emerging enterprises, and their endogeneity and robustness have been tested using instrumental variable methods and a series of other methods. Secondly, government-guided funds significantly enhance corporate innovation output through two pathways: one is by alleviating financing constraints on technological R\&D; the other is by enhancing companies' ability to access policy resources such as tax incentives. Thirdly, heterogeneity tests indicate that the innovative incentive effect of government-guided funds is more pronounced in eastern regions, state-owned enterprises, and companies with higher capital intensity from downstream customers. This study focuses on strategic emerging enterprises, providing a new perspective on the impact of government-guided funds on corporate innovation.
DOI: 10.17632/7c665vd8yc.1
title: Can government-guided funds promote innovation output in strategic emerging enterprises? Evidence from China

description: Using 9,138 data from 731 strategic emerging enterprises in China's A-share market between 2010 and 2023, this study explores the impact of government-guided funds on innovation in these enterprises and their underlying mechanisms. The main empirical findings are as follows: Firstly, there is a positive correlation between government-guided funds and innovation output in strategic emerging enterprises, and their endogeneity and robustness have been tested using instrumental variable methods and a series of other methods. Secondly, government-guided funds significantly enhance corporate innovation output through two pathways: one is by alleviating financing constraints on technological R\&D; the other is by enhancing companies' ability to access policy resources such as tax incentives. Thirdly, heterogeneity tests indicate that the innovative incentive effect of government-guided funds is more pronounced in eastern regions, state-owned enterprises, and companies with higher capital intensity from downstream customers. This study focuses on strategic emerging enterprises, providing a new perspective on the impact of government-guided funds on corporate innovation.
DOI: 10.17632/k5dvngpm86
title: Valorization of Orange Peels for Pectin Extraction from BARI Malta 1 (Sweet Orange): A Sustainable Prospect for Bangladesh

description: FTIR, DSC, TGA, Pectin Yields and FESEM
DOI: 10.17632/k5dvngpm86.1
title: Valorization of Orange Peels for Pectin Extraction from BARI Malta 1 (Sweet Orange): A Sustainable Prospect for Bangladesh

description: FTIR, DSC, TGA, Pectin Yields and FESEM
DOI: 10.15468/dl.86wsfe
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Pteris otomasui)"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009837-250920141307145/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.30192676
title: Single particle cryo-EM data for "Coatomer Trafficking Functionally Uncouples Glycan Remodeling from Immunogenicity of SARS-CoV-2 Spike Protein"

description: Single particle cryo-EM data for "Coatomer Trafficking Functionally Uncouples Glycan Remodeling from Immunogenicity of SARS-CoV-2 Spike Protein"
DOI: 10.6084/m9.figshare.30192676.v1
title: Single particle cryo-EM data for "Coatomer Trafficking Functionally Uncouples Glycan Remodeling from Immunogenicity of SARS-CoV-2 Spike Protein"

description: Single particle cryo-EM data for "Coatomer Trafficking Functionally Uncouples Glycan Remodeling from Immunogenicity of SARS-CoV-2 Spike Protein"
DOI: 10.17632/rzyc5ssvzx
title: Annotated Cattle Images (ACI) dataset

description: This dataset is composed of 6182 cattle images, curated from open-access platforms on the internet. The dataset provides annotations for animal face localization and the localization of the main facial subregions (eyes, ears, and muzzle). This dataset can be applied for training object detection models or other applications that require the annotation of animal regions.
DOI: 10.15468/dl.9f824t
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (vertebrados), Aves y mamíferos del Parque Nacional Sierra de Órganos, Zacatecas)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, d9699a79-4736-45c2-925c-f4033ac67d52, 39fd7088-af63-4ad5-8d30-479a720a368b, 2d6267a0-0561-11d8-b851-b8a03c50a862, 2e167bb0-4441-11db-9ba2-b8a03c50a862, 8edbbde0-055e-11d8-b850-b8a03c50a862, a2ef6dd1-8886-48c9-8025-c62bac973cc7, b4640710-8e03-11d8-b956-b8a03c50a862, ff90b050-c256-11db-b71b-b8a03c50a862)",
 "TaxonKey is Rattus norvegicus",
 "Year 2000-2025"
 ]
}

 The dataset includes 151 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009839-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/36hw8mv2yb
title: LMP-GOC-EP data

description: This dataset contains the survey responses (N=236) used for the study on lean manufacturing practices, green organizational culture, and environmental performance. Data are provided in SPSS (.sav) formats.
DOI: 10.17632/rzyc5ssvzx.2
title: Annotated Cattle Images (ACI) dataset

description: This dataset is composed of 6182 cattle images, curated from open-access platforms on the internet. The dataset provides annotations for animal face localization and the localization of the main facial subregions (eyes, ears, and muzzle). This dataset can be applied for training object detection models or other applications that require the annotation of animal regions.
DOI: 10.17632/36hw8mv2yb.1
title: LMP-GOC-EP data

description: This dataset contains the survey responses (N=236) used for the study on lean manufacturing practices, green organizational culture, and environmental performance. Data are provided in SPSS (.sav) formats.
DOI: 10.17632/sy5593jtj2
title: MetabolomeData20250922

description: Skin Surface Metabolites in Females from Yunnan Province, China
DOI: 10.17632/sy5593jtj2.1
title: MetabolomeData20250922

description: Skin Surface Metabolites in Females from Yunnan Province, China
DOI: 10.17632/2zrdv4bdr9
title: Metabolome Data20250922

description: Healthy Female skin surface metabolites from Yunnan Province, China
DOI: 10.17632/2zrdv4bdr9.1
title: Metabolome Data20250922

description: Healthy Female skin surface metabolites from Yunnan Province, China