cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/1a8d-yh72
title: Spire Data Products

description: Spire instrument data and derived products (levels 1-2).
DOI: 10.5065/0dxg-nn57
title: GeoOptics Data Products

description: GeoOptics instrument data and derived products (levels 1-2).
DOI: 10.17632/4k98xwfzyc
title: Biosorption of Dye on Biochar from Contaminated Wastewater: Synthesis Property and Mechanism Relationships

description: Comparative analyses of pure and modified biochars demonstrate that chemical activation, heteroatom doping, metal impregnation, and composite creation significantly improve adsorption capacity, selectivity, and regeneration stability. Kinetic, isotherm, and thermodynamic behaviors are assessed to clarify structure–performance correlations. Critical discussions are presented on key problems associated with experimental inconsistency, regeneration efficiency, and scale-up in realistic wastewater circumstances. The review closes by delineating mechanism-guided design concepts and research goals necessary for the translation of biochar-based adsorption systems into scalable and sustainable industrial wastewater treatment applications.
DOI: 10.17632/4k98xwfzyc.1
title: Biosorption of Dye on Biochar from Contaminated Wastewater: Synthesis Property and Mechanism Relationships

description: Comparative analyses of pure and modified biochars demonstrate that chemical activation, heteroatom doping, metal impregnation, and composite creation significantly improve adsorption capacity, selectivity, and regeneration stability. Kinetic, isotherm, and thermodynamic behaviors are assessed to clarify structure–performance correlations. Critical discussions are presented on key problems associated with experimental inconsistency, regeneration efficiency, and scale-up in realistic wastewater circumstances. The review closes by delineating mechanism-guided design concepts and research goals necessary for the translation of biochar-based adsorption systems into scalable and sustainable industrial wastewater treatment applications.
DOI: 10.17632/mxbg5b62hp
title: Quadruply Bonded Mo₂ Molecules: An Inborn Emitter-Resonator Quantum System in Free Space

description: Here we report the data collected by the conventional spectroscopy. The raw data generalized from the instruments have been uploaded. And they have been restored in .txt and .xlsx files.
DOI: 10.17632/mxbg5b62hp.3
title: Quadruply Bonded Mo₂ Molecules: An Inborn Emitter-Resonator Quantum System in Free Space

description: Here we report the data collected by the conventional spectroscopy. The raw data generalized from the instruments have been uploaded. And they have been restored in .txt and .xlsx files.
DOI: 10.26030/fm70-ef78
title: Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages - Non-myeloid hippocampus data

description: Spaceflights significantly impacts astronaut health, causing muscle atrophy, bone loss, cardiovascular deconditioning and immune system dysregulation, especially during long missions. To explore molecular changes, we generated a single-cell RNA sequencing dataset, of 216 samples from 28 mouse organs and tissues under spaceflight and control conditions. Since spaceflight effects closely resemble aspects of aging, we included two age groups (3 and 8 months) to assess age-related influences. Our data revealed that spaceflight drives age-independent systemic changes, primarily affecting tissue remodeling and alterations in cytoskeleton, membrane and extracellular matrix (ECM), particularly in endothelial cells. In contrast, aging has a weaker impact, mainly altering immune regulation in an age-dependent manner. These findings suggest that cytoskeletal and ECM changes may contribute to immune Dysregulation.
DOI: 10.17632/6bfnfcfspp
title: PD-1 deficiency synergizes with obesity to exacerbate metabolic and immune dysfunction through a macrophage AMPK-ETS2 axis

description: Original western blotting data
DOI: 10.17632/6bfnfcfspp.1
title: PD-1 deficiency synergizes with obesity to exacerbate metabolic and immune dysfunction through a macrophage AMPK-ETS2 axis

description: Original western blotting data
DOI: 10.17632/xjs4bfgzj5.1
title: A new multi-modal dataset for Dental Plaque Diagnosis of Patients With Fixed Labial Orthodontic Appliances (Part 2 of 2)

description: This dataset represents Part 2 of a two-part release of a multi-modal intraoral image dataset for dental plaque diagnosis in patients with fixed labial orthodontic appliances. Part 1 (DOI: 10.17632/g8yhdvgjy2.1) contains the complementary subset of patient data collected using the same imaging protocol, labeling criteria, and validation process. Together, the two parts constitute the complete dataset and are intended to be used in combination for model training and evaluation.

Objective: This dataset is designed to benchmark and improve plaque diagnosis performance in patients wearing labial fixed orthodontic appliances. It addresses the lack of high-quality, large-scale intraoral image datasets collected from orthodontic patients, where brackets and wires increase diagnostic difficulty.

Data content: The dataset includes two data types collected from 146 patients undergoing fixed orthodontic treatment.

Intraoral images:
* More than 10,000 pre-staining intraoral images of anterior teeth.
* Images are annotated into four plaque severity levels with labels 0–1, 2, 3, and 4, representing increasing plaque accumulation.
* Post-staining images were used as a reference for accurate labeling but are not included in the released dataset.
Clinical records:
* Each patient is associated with one clinical examination form.
* Records include gingival bleeding assessment and oral hygiene habits, documented at both patient and tooth levels.

Methodology:
- Data collection: Images were captured using a professional dental camera following a standardized clinical protocol. For each patient, nine images were taken from nine predefined angles to comprehensively cover the anterior dentition.
- Data labeling: All pre-staining images were classified into four plaque severity labels (0–1, 2, 3, 4).
- Peer review: All annotations were independently reviewed by two dentists with over five years of clinical experience.
- Noise creation: For each original image, three noise-augmented versions were generated using image shake, brightness increase, and brightness decrease.
- Data augmentation: Six augmentation techniques were applied, resulting in 72 images per patient to enhance data diversity and robustness.

Usage: The dataset is split into training and testing sets and is intended for training, fine-tuning, and evaluating deep learning models for plaque level diagnosis in patients wearing orthodontic braces.
DOI: 10.17632/dx6wgyfmrg
title: Clinical and Echocardiographic Predictors of Moderate Heart Failure in Children With Congenital Heart Disease: A Prediction Modelling Study

description: The dataset contains anonymized clinical and echocardiographic data of pediatric patients included in the study. It was collected retrospectively from medical records at a tertiary referral hospital. The dataset was used to analyze factors associated with heart failure severity in children with congenital heart disease and pulmonary hypertension.

The data include demographic variables (age, sex), anthropometric measurements (body weight, nutritional status), clinical parameters (vital signs, Ross score), echocardiographic measurements (pulmonary systolic arterial pressure, tricuspid regurgitation gradient, mean pulmonary arterial pressure, ejection fraction, chamber dilatation), and diagnostic categories of congenital heart disease. Outcome variables and model-related variables used for statistical and machine learning analyses are also included.

All patient identifiers were removed prior to analysis to ensure confidentiality. The dataset is provided in a structured tabular format and can be reused for secondary analyses, validation studies, or methodological research related to pediatric cardiology and predictive modeling.
DOI: 10.17632/dx6wgyfmrg.1
title: Clinical and Echocardiographic Predictors of Moderate Heart Failure in Children With Congenital Heart Disease: A Prediction Modelling Study

description: The dataset contains anonymized clinical and echocardiographic data of pediatric patients included in the study. It was collected retrospectively from medical records at a tertiary referral hospital. The dataset was used to analyze factors associated with heart failure severity in children with congenital heart disease and pulmonary hypertension.

The data include demographic variables (age, sex), anthropometric measurements (body weight, nutritional status), clinical parameters (vital signs, Ross score), echocardiographic measurements (pulmonary systolic arterial pressure, tricuspid regurgitation gradient, mean pulmonary arterial pressure, ejection fraction, chamber dilatation), and diagnostic categories of congenital heart disease. Outcome variables and model-related variables used for statistical and machine learning analyses are also included.

All patient identifiers were removed prior to analysis to ensure confidentiality. The dataset is provided in a structured tabular format and can be reused for secondary analyses, validation studies, or methodological research related to pediatric cardiology and predictive modeling.
DOI: 10.17632/vh6x4k8xkh
title: Jacket net cage

description: Dynamic Load-Response Characteristics Analysis of Deep-Water Jacket-Type Turbine-Fishery Integrated Platform
DOI: 10.17632/vh6x4k8xkh.1
title: Jacket net cage

description: Dynamic Load-Response Characteristics Analysis of Deep-Water Jacket-Type Turbine-Fishery Integrated Platform
DOI: 10.17632/9363tgxyjk
title: Enhancement of rare earth element bioleaching from regolith by a novel siderophore produced by Streptomyces sp.

description: Data in the manuscript by Limin Zhang et al. submitted to Geochimica et Cosmochimica Acta titled "Enhancement of rare earth element bioleaching from regolith by a novel siderophore produced by Streptomyces sp.".
DOI: 10.17632/9363tgxyjk.1
title: Enhancement of rare earth element bioleaching from regolith by a novel siderophore produced by Streptomyces sp.

description: Data in the manuscript by Limin Zhang et al. submitted to Geochimica et Cosmochimica Acta titled "Enhancement of rare earth element bioleaching from regolith by a novel siderophore produced by Streptomyces sp.".
DOI: 10.17632/cjmb2fvhxp
title: Datasets for "Diverse magmatic processes generate Sn isotope heterogeneity in granitoids and the continental crust"

description: Datasets for "Diverse magmatic processes generate Sn isotope heterogeneity in granitoids and the continental crust"
DOI: 10.17632/cjmb2fvhxp.1
title: Datasets for "Diverse magmatic processes generate Sn isotope heterogeneity in granitoids and the continental crust"

description: Datasets for "Diverse magmatic processes generate Sn isotope heterogeneity in granitoids and the continental crust"
DOI: 10.17632/ch9t7srtfr
title: Consumer survey of GI products in Wuhan

description: A survey of consumers in Wuhan regarding the premium pricing of GI products.
DOI: 10.17632/ch9t7srtfr.1
title: Consumer survey of GI products in Wuhan

description: A survey of consumers in Wuhan regarding the premium pricing of GI products.
DOI: 10.17632/9knfvskjfz
title: Original western blot images

description: Original western blot images
DOI: 10.17632/9knfvskjfz.1
title: Original western blot images

description: Original western blot images
DOI: 10.17632/vmszh4t6h7
title: Global Change Biology data

description: Global Change Biology data
DOI: 10.17632/vmszh4t6h7.1
title: Global Change Biology data

description: Global Change Biology data
DOI: 10.17632/j3m7rp8g25
title: The impact of intra-tidal wave asymmetry on the nearshore sedimentary dynamic processes

description: Model results
DOI: 10.17632/j3m7rp8g25.1
title: The impact of intra-tidal wave asymmetry on the nearshore sedimentary dynamic processes

description: Model results
DOI: 10.17632/r83s42chjv
title: Path Creation and Divergent Trajectories of the Urban Low-Altitude Economy: A Dynamic Configurational Analysis of Supply-Demand Synergy in Chinese Cities

description: This dataset includes detailed data for the 8 secondary indicators and 23 tertiary indicators shown in Figure 1 (Configuration Analysis Framework of Influencing Factors on the Development Effectiveness of Urban Low-Altitude Economy).
DOI: 10.17632/r83s42chjv.2
title: Path Creation and Divergent Trajectories of the Urban Low-Altitude Economy: A Dynamic Configurational Analysis of Supply-Demand Synergy in Chinese Cities

description: This dataset includes detailed data for the 8 secondary indicators and 23 tertiary indicators shown in Figure 1 (Configuration Analysis Framework of Influencing Factors on the Development Effectiveness of Urban Low-Altitude Economy).
DOI: 10.17632/9bcnznycjv
title: Socioeconomic Determinants of Infant Mortality Disparities in Nigeria: Evidence from the 2024 Nigeria Demographic and Health Survey

description: Socio-demographic factors and how they relate with infant mortality rates (IMR) in Nigeria were explored. The dataset for the research was sourced from the 2023/2024 DHS program and the dataset can be readily and freely obtained from https://dhsprogram.com/data/available-datasets.cfm. The data was analyzed using R Studio (v 4.4.1). This is a supplementary material to accompany the manuscript developed from the data, containing two tables and two figures. The first table contains descriptive statistics of the dataset used for this work, and the second contains the results for test of collinearity among the explanatory variables (socioeconomic determinants) and with the outcome variable (infant mortality) which answers the fit of the dataset. There are also two figures; a bar graph indicating the occurrence of IMR by education level, and a forest plot showing the odds ratios, or risk of infant mortality per the explanatory variables.
DOI: 10.15156/bio/sh1219039.10fu
title: SH1219039.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219040.10fu
title: SH1219040.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219043.10fu
title: SH1219043.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219046.10fu
title: SH1219046.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219047.10fu
title: SH1219047.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219048.10fu
title: SH1219048.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219049.10fu
title: SH1219049.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219054.10fu
title: SH1219054.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1219059.10fu
title: SH1219059.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.