cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48437/0f86c0-ab481e
title: Hydraulische Untersuchungen am Mittelrhein, Budenheim bis Bingen, km 508-528, 2022

description: Die Bundesanstalt für Wasserbau beauftragte das Ingenieurbüro Schmid (IB Schmid), hydraulische Untersuchungen auf dem Mittelrhein zwischen Budenheim und Bingen durchzuführen, Folgende Messungen waren beauftragt:

• Querprofilmessungen über den gesamten befahrbaren Querschnitt im Hauptstrom bei km 511,09, 512,96, 514, 516, 516,8, 518,08, 518,965, 519,9, 521,2, 523,25, 524,3, 525, 525,7, 527,5
• Querprofilmessungen in den Nebenarmen Eltviller Aue, Große Gieß, Mittelheimer Bucht und Rüdesheimer Fahrwasser bei km 511,09, 512,96, 514, 516, 516,8, 519,9, 525, 525,7
• eine Wasserspiegelfixierung im Hauptstrom von km 508 bis 528
• entsprechend der Befahrbarkeit Wasserspiegelfixierungen in den Nebenarmen Eltviller Aue, Mariannenaue, Große Gieß, Frei-Weinheim, Mittelheimer Bucht und Rüdesheimer Fahrwasser.

Die Messungen sollten kurzfristig bei einem Wasserstand nahe des Gleichwertigen Wasserstands (GlW) am Pegel Mainz durchgeführt werden.

- Wasserspiegelfixierung (H_WSP)
- Querprofilmessung (H_Sohle)
- Durchflussmessung (Q)
- Fließgeschwindigkeit (v_Str)

QS ist erfolgt
DOI: 10.48437/234455-88510d
title: Hydraulische Untersuchungen Aller, km 38 bis 117, 2025

description: Die Bundesanstalt für Wasserbau hat das Ingenieurbüro Schmid (IB Schmid) mit hydraulischen Untersuchungen auf der [...] Aller beauftragt. Es sollte eine Wasserspiegelfixierung von [...] km 38 bis 117 durchgeführt werden. Begleitend sollten die Strömungs-
geschwindigkeiten und Durchflüsse an 27 Querprofilen und einem Längsprofil erfasst werden. Der Wasserstand sollte ca. 1 m über Mittelwasser (MQ) liegen.

Flächenhafte Geschwindigkeitsaufnahme, Querprofilmessung, Längsprofilmessung

- Wasserspiegelfixierung (H_WSP)
- Querprofilmessung (H_Sohle)
- Durchflussmessung (Q)
- Fließgeschwindigkeit (v_Str)

QS ist erfolgt
DOI: 10.48437/a43dc9-39c916
title: Hydraulische Untersuchungen am Rhein, Moselmündung, km 556-614, 2020

description: Die Bundesanstalt für Wasserbau beauftragte das Ingenieurbüro Schmid (IB Schmid), hydraulische Untersuchungen auf dem Rhein bei der Moselmündung bei 5 Durchﬂussereignissen durchzuführen. Es sollte eine Wasserspiegelﬁxierung im Hauptstrom zwischen km 556,4 und 613,8 durchgeführt werden. Begleitend sollten die Strömungsgeschwindigkeiten und Durchﬂussmengen an den Pegeln St. Goar und Andernach und bei der Lahn– und Moselmündung aufgenommen werden. Dieser Bericht behandelt die Messungen bei Wasserständen nahe des Gleichwertigen Wasserstands (GlW).


Messung am 30.08.2020
- Wasserspiegelfixierung (H_WSP)
- Querprofilmessung (H_Sohle)
- Durchflussmessung (Q)
- Fließgeschwindigkeit (v_Str)

QS ist erfolgt
DOI: 10.5281/zenodo.18084450
title: A data-augmented machine learning framework for estimating undrained mechanical properties of a cement-improved clay

description: This repository contains the dataset and training codes used in a data-augmented machine learning study for estimating undrained mechanical properties of a cement-improved clay. The dataset consists of 540 samples, including 30 experimental observations obtained from laboratory testing and 510 synthetically generated samples produced to enhance model training.

The dataset includes cement content, effective consolidation pressure, specimen density, undrained shear strength, and undrained stiffness modulus. The accompanying code comprises a Jupyter Notebook implementing artificial neural network and random forest models for predicting undrained shear strength and undrained stiffness modulus from relevant input parameters.

The repository is organised into separate data and code directories. The notebook is provided in a cleared state and can be executed sequentially using relative paths. Detailed information on dataset structure, model configurations, and execution instructions is provided in the included README.md file.

This dataset and code are intended to support transparency, reproducibility, and reuse in geotechnical engineering and machine learning research.
DOI: 10.5281/zenodo.18084449
title: A data-augmented machine learning framework for estimating undrained mechanical properties of a cement-improved clay

description: This repository contains the dataset and training codes used in a data-augmented machine learning study for estimating undrained mechanical properties of a cement-improved clay. The dataset consists of 540 samples, including 30 experimental observations obtained from laboratory testing and 510 synthetically generated samples produced to enhance model training.

The dataset includes cement content, effective consolidation pressure, specimen density, undrained shear strength, and undrained stiffness modulus. The accompanying code comprises a Jupyter Notebook implementing artificial neural network and random forest models for predicting undrained shear strength and undrained stiffness modulus from relevant input parameters.

The repository is organised into separate data and code directories. The notebook is provided in a cleared state and can be executed sequentially using relative paths. Detailed information on dataset structure, model configurations, and execution instructions is provided in the included README.md file.

This dataset and code are intended to support transparency, reproducibility, and reuse in geotechnical engineering and machine learning research.
DOI: 10.57760/sciencedb.34432
title: Motivational trade-offs under empathic concern: Victims' preferences for and outcome evaluation of third-party punishment
title: 共情关怀下的动机权衡：受害者对第三方惩罚的偏好与结果评价

description: This dataset was derived from two behavioral experiments employing an adapted third-party punishment paradigm. It examines how victims’ empathic concern toward norm violators influences their preferences for and outcome evaluation of third-party punishment.
description: This dataset was derived from two behavioral experiments employing an adapted third-party punishment paradigm. It examines how victims’ empathic concern toward norm violators influences their preferences for and outcome evaluation of third-party punishment.
DOI: 10.57760/sciencedb.34485
title: 16S sequencing data for rhizosphere soil of Phytolacca icosandra L. in response to aluminum stress
title: 16S sequencing data for rhizosphere soil of Phytolacca icosandra L. in response to aluminum stress

description: 16S sequencing data for rhizosphere soil of Phytolacca icosandra L. in response to aluminum (Al) stressAl0: no Al added; Al0: 10 mM Al added; A25: 25 mM Al added; A50: 50 mM Al added; Al00: 100 mM Al added.
description: 16S sequencing data for rhizosphere soil of Phytolacca icosandra L. in response to aluminum (Al) stressAl0: no Al added; Al0: 10 mM Al added; A25: 25 mM Al added; A50: 50 mM Al added; Al00: 100 mM Al added.
DOI: 10.57760/sciencedb.34283
title: Genome-wide SSR molecular marker developed in this research
title: Genome-wide SSR molecular marker developed in this research

description: To establish a molecular identity card for Dendrobium officinale, providing a scientific basis for the breeding, utilization, standardized production, and quality traceability of cultivated varieties in Guizhou Province. Based on the published genome sequence of D. officinale,SSR loci were identified using MISA software, and SSR molecular markers were designed via Primer 3.Genomic DNA of D. officinale was extracted and subsequently detected via gel electrophoresis following the protocol described by Pan et al.. To develop genome-wide SSR markers, the published D. officinale genome (NCBI assembly accession: ASM160598v2, GCA_001605985.2. The website is https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_001605985.2/) was utilized. The MISA (MicroSatellite identification tool; http://pgrc.ipk-gatersleben.de/misa/) software was employed to screen for polymorphic microsatellite loci across the genome. High-throughput primer design was performed using Primer 3 (http://primer3.ut.ee/). The design parameters were as follows: primer length of 18–25 bp, expected PCR product size of 100–250 bp, and GC content of 40–60%. The Perl encoded text has been uploaded to the database
description: To establish a molecular identity card for Dendrobium officinale, providing a scientific basis for the breeding, utilization, standardized production, and quality traceability of cultivated varieties in Guizhou Province. Based on the published genome sequence of D. officinale,SSR loci were identified using MISA software, and SSR molecular markers were designed via Primer 3.Genomic DNA of D. officinale was extracted and subsequently detected via gel electrophoresis following the protocol described by Pan et al.. To develop genome-wide SSR markers, the published D. officinale genome (NCBI assembly accession: ASM160598v2, GCA_001605985.2. The website is https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_001605985.2/) was utilized. The MISA (MicroSatellite identification tool; http://pgrc.ipk-gatersleben.de/misa/) software was employed to screen for polymorphic microsatellite loci across the genome. High-throughput primer design was performed using Primer 3 (http://primer3.ut.ee/). The design parameters were as follows: primer length of 18–25 bp, expected PCR product size of 100–250 bp, and GC content of 40–60%. The Perl encoded text has been uploaded to the database
DOI: 10.57760/sciencedb.34494
title: Driving Factors Indicator System
title: 驱动因子指标体系

description: This dataset belongs to the driving factor data of this study, which was obtained through official channels such as the official website of the government where the research area is located, the official website of the statistics bureau, the social development bulletin, and the transportation bureau. Among them, the density, elevation, slope, etc. of the river network were extracted through DEM, and the nighttime light data came from the geographic spatial data cloud. 20 indicators, 16 counties, with a total of 320 data points. 
description: This dataset belongs to the driving factor data of this study, which was obtained through official channels such as the official website of the government where the research area is located, the official website of the statistics bureau, the social development bulletin, and the transportation bureau. Among them, the density, elevation, slope, etc. of the river network were extracted through DEM, and the nighttime light data came from the geographic spatial data cloud. 20 indicators, 16 counties, with a total of 320 data points.
DOI: 10.57760/sciencedb.34502
title: Paper data of pilot free trade zone
title: 自贸试验区论文数据

description: How Do Pilot Free Trade Zones Promote Green Transformation of Advanced Manufacturing Enterprises: Evidence from A Quasi-Natural Experiment
description: How Do Pilot Free Trade Zones Promote Green Transformation of Advanced Manufacturing Enterprises: Evidence from A Quasi-Natural Experiment
DOI: 10.57760/sciencedb.34427
title: The complete genome data and 16s data of Enterococcus faecalis WP2
title: The complete genome data and 16s data of Enterococcus faecalis WP2

description: This dataset mainly includes the complete genome data and 16s data of Enterococcus faecalis WP2. Enterococcus faecalis WP2 is mainly applied in the article "Purification, characterization and mechanism study of Enterocin ECHO-1: A novel bacteriocin produced by Enterococcus faecalis WP2".
description: This dataset mainly includes the complete genome data and 16s data of Enterococcus faecalis WP2. Enterococcus faecalis WP2 is mainly applied in the article "Purification, characterization and mechanism study of Enterocin ECHO-1: A novel bacteriocin produced by Enterococcus faecalis WP2".
DOI: 10.57760/sciencedb.34424
title: Pollination ecology of three species from Acanthaceae
title: Pollination ecology of three species from Acanthaceae

description: These data were collected as we conducted filed work on three Phlogacanthus species in sourthwestern China. They include the results of floral visitor observations, pollination treatments, pollen deposition, visitor behavior quantification, and measurements of floral traits.
description: These data were collected as we conducted filed work on three Phlogacanthus species in sourthwestern China. They include the results of floral visitor observations, pollination treatments, pollen deposition, visitor behavior quantification, and measurements of floral traits.
DOI: 10.57760/sciencedb.34441
title: Mechanical, microstructural, and chloride ion penetration data of metakaolin specimens
title: Mechanical, microstructural, and chloride ion penetration data of metakaolin specimens

description: This investigation reveals a critical “performance window” for NaOH molarity (8–16 M) in metakaolin-based geopolymer concrete (MKGC) through an integrated analysis of mechanical properties, chloride transport, and multi-scale microstructure. Within this window, an optimal concentration of 14 M facilitates a synergistic regime in which geopolymerization produces a gel that is both dense (enhancing physical protection) and chemically active for chloride binding. This results in a significantly reduced chloride diffusion coefficient of 4.19 × 10⁻¹² m²/s. Deviations from this window lead to a decoupling of the synergistic effect: lower alkalinity yields a porous microstructure, whereas higher alkalinity inhibits effective chemical binding despite ongoing pore refinement.
description: This investigation reveals a critical “performance window” for NaOH molarity (8–16 M) in metakaolin-based geopolymer concrete (MKGC) through an integrated analysis of mechanical properties, chloride transport, and multi-scale microstructure. Within this window, an optimal concentration of 14 M facilitates a synergistic regime in which geopolymerization produces a gel that is both dense (enhancing physical protection) and chemically active for chloride binding. This results in a significantly reduced chloride diffusion coefficient of 4.19 × 10⁻¹² m²/s. Deviations from this window lead to a decoupling of the synergistic effect: lower alkalinity yields a porous microstructure, whereas higher alkalinity inhibits effective chemical binding despite ongoing pore refinement.
DOI: 10.57760/sciencedb.27983
title: A dynamic meshing transmission dataset for manufacturing quality inspection of electric vehicle reducer gears
title: A dynamic meshing transmission dataset for manufacturing quality inspection of electric vehicle reducer gears

description: As the first real industrial data set for manufacturing quality inspection of electric vehicle reducer gears, The dynamic meshing transmission dataset (DMTD) solves the two major challenges that the existing single gear quality inspection method based on tooth surface waviness cannot quickly detect and cannot fully characterize the real performance. DMTD covers the dynamic meshing transmission data of five gear types (healthy gears, slight bump gears, leaky grinding gears, and two kinds of ghost order whine gears). In addition, a variety of uncertain factors (different machine tools, different batches, different design parameters, etc. ) in the processing process are introduced to avoid the influence of laboratory idealized conditions on signal characteristics.The sampling rate of all data is 12.8 kHz.The Pulses Per Revolution (PPR) of the speed pulse signal is 10.The ' Data.csv/Data.mat ' file contains vibration data and speed pulse data.The data directory hierarchy and content of DMTD
description: As the first real industrial data set for manufacturing quality inspection of electric vehicle reducer gears, The dynamic meshing transmission dataset (DMTD) solves the two major challenges that the existing single gear quality inspection method based on tooth surface waviness cannot quickly detect and cannot fully characterize the real performance. DMTD covers the dynamic meshing transmission data of five gear types (healthy gears, slight bump gears, leaky grinding gears, and two kinds of ghost order whine gears). In addition, a variety of uncertain factors (different machine tools, different batches, different design parameters, etc. ) in the processing process are introduced to avoid the influence of laboratory idealized conditions on signal characteristics.The sampling rate of all data is 12.8 kHz.The Pulses Per Revolution (PPR) of the speed pulse signal is 10.The ' Data.csv/Data.mat ' file contains vibration data and speed pulse data.The data directory hierarchy and content of DMTD
DOI: 10.48366/r1568502
title: Generative tools, feedback, adoption & attitudes - Context setting for Learning - December 2025

description: A concise comparison of the papers that examine GenAI in creative/design courses, LLM-driven feedback in intelligent tutors, adoption models for AI-personalized learning environments, chatbot effects in flipped classrooms, and student stances toward AIEd tools.
DOI: 10.57760/sciencedb.33736
title: Optimizing the components of Sijunzi Decoction and Decoding Their Mechanisms as Therapeutic Agents for Gastric Cancers Utilizing A Novel Network Pharmacology Strategy
title: Optimizing the components of Sijunzi Decoction and Decoding Their Mechanisms as Therapeutic Agents for Gastric Cancers Utilizing A Novel Network Pharmacology Strategy

description: By comparing with other node importance calculation methods, the Build-Cumulative Contribution coefficient (BCCC) model has the highest coverage of 97.3% of the intersection of pathogenic genes and components-related targets enriched Gene ontology (GO) terms. According to the BCCC method, 46 active components were identified as the kernel component group (KCG). The enrichment pathways of KCG targets covered 95.23% of the intersection between pathogenic genes and active components. Finally, it is further verified by a comprehensive pathway and docking. Based on the KCG, prediction and docking simulations show that these components can affect gastric cancer synergistically through ErbB, cAMP and Ras signaling pathways.
description: By comparing with other node importance calculation methods, the Build-Cumulative Contribution coefficient (BCCC) model has the highest coverage of 97.3% of the intersection of pathogenic genes and components-related targets enriched Gene ontology (GO) terms. According to the BCCC method, 46 active components were identified as the kernel component group (KCG). The enrichment pathways of KCG targets covered 95.23% of the intersection between pathogenic genes and active components. Finally, it is further verified by a comprehensive pathway and docking. Based on the KCG, prediction and docking simulations show that these components can affect gastric cancer synergistically through ErbB, cAMP and Ras signaling pathways.
DOI: 10.57760/sciencedb.34433
title: A Synthetic Virus-like Assembly Unlocks Dual-Antigen Presentation for Broad-Spectrum Anti-SARS-CoV-2 Immunity
title: A Synthetic Virus-like Assembly Unlocks Dual-Antigen Presentation for Broad-Spectrum Anti-SARS-CoV-2 Immunity

description: In the present study, building on the previous development of a DC-SIGN-targeting virus-like structure (VLS) vaccine platform and a comprehensive characterization of SARS-CoV-2 structural biology, particularly insights into the role of the nucleocapsid (N) protein in eliciting cytotoxic T lymphocyte (CTL) responses during infection, we designed a SARS-CoV-2 virion-mimetic structural vaccine that encapsulates mRNA encoding the spike S1 antigen complexed with N protein complexes, with S1 proteins loaded on its surface. This characterized virion-mimetic structural vaccine not only induces high-efficiency antibodies against both spike and N proteins but also elicits robust S1-specific and N-specific CTL responses in animal models. Furthermore, the generated antibodies exhibit cross-reactive neutralizing activity against multiple SARS-CoV-2 variants and provide protective immunity against mutant viral challenge in immunized hosts. This SARS-CoV-2 virion-mimetic structure effectively recapitulates natural infection pathways, comprehensively activating the innate immune system and thereby creating an optimal microenvironment for eliciting potent and broad-spectrum adaptive immune responses.
description: In the present study, building on the previous development of a DC-SIGN-targeting virus-like structure (VLS) vaccine platform and a comprehensive characterization of SARS-CoV-2 structural biology, particularly insights into the role of the nucleocapsid (N) protein in eliciting cytotoxic T lymphocyte (CTL) responses during infection, we designed a SARS-CoV-2 virion-mimetic structural vaccine that encapsulates mRNA encoding the spike S1 antigen complexed with N protein complexes, with S1 proteins loaded on its surface. This characterized virion-mimetic structural vaccine not only induces high-efficiency antibodies against both spike and N proteins but also elicits robust S1-specific and N-specific CTL responses in animal models. Furthermore, the generated antibodies exhibit cross-reactive neutralizing activity against multiple SARS-CoV-2 variants and provide protective immunity against mutant viral challenge in immunized hosts. This SARS-CoV-2 virion-mimetic structure effectively recapitulates natural infection pathways, comprehensively activating the innate immune system and thereby creating an optimal microenvironment for eliciting potent and broad-spectrum adaptive immune responses.
DOI: 10.57760/sciencedb.34429
title: Probing the neutron-skin thickness via the double-charge exchange reactions in pion-nucleus collisions
title: Probing the neutron-skin thickness via the double-charge exchange reactions in pion-nucleus collisions

description: Original data on the pion emission in the double-charge exchange reactions near the Delta-resonance energy, in particular, the rapidity and transverse momentum spectra, charged pion ratios et al. The reactions induced by pions are associated with the multiple processes of pions, nucleons and Delta-resonances, correlated with the neutron-skin thickness. It is found that the kinetic energy spectra of \pi-/\pi+ ratio are sensitive to the neutron-skin thickness of neutron-rich nuclei for extracting the subsaturation-density symmetry energy. The double-charge exchange reactions are influenced by the neutron-skin thickness, in-medium properties of resonances, pion-nucleon potential and pion-nucleon scattering. Possible measurements are proposed in the future experiments at high-intensity heavy-ion accelerator facility (HIAF) in Huizhou.
description: Original data on the pion emission in the double-charge exchange reactions near the Delta-resonance energy, in particular, the rapidity and transverse momentum spectra, charged pion ratios et al. The reactions induced by pions are associated with the multiple processes of pions, nucleons and Delta-resonances, correlated with the neutron-skin thickness. It is found that the kinetic energy spectra of \pi-/\pi+ ratio are sensitive to the neutron-skin thickness of neutron-rich nuclei for extracting the subsaturation-density symmetry energy. The double-charge exchange reactions are influenced by the neutron-skin thickness, in-medium properties of resonances, pion-nucleon potential and pion-nucleon scattering. Possible measurements are proposed in the future experiments at high-intensity heavy-ion accelerator facility (HIAF) in Huizhou.
DOI: 10.5281/zenodo.18084537
title: corallus_hortulana_spades_01.fasta.gz
DOI: 10.5281/zenodo.18084538
title: corallus_hortulana_spades_01.fasta.gz