cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7nhpn39xst
title: Big Datasets for Intelligent Anomaly Detection, Mitigation, and Forecasting in Feeders to Secure Smart Grid

description: Big Data (BD) offers new opportunities for scientists to detect both normal and anomalous events in the Smart Grid (SG). However, the diverse and complex nature of Internet of Things (IoT)-enabled Feeder (FED) datasets poses significant challenges in analyzing and visualizing the real impacts. As a result, existing Centralized Protection, Control, and Monitoring (PCM) solutions often fail to uncover hidden patterns, making it difficult to distinguish between original and anomalous events in FEDs. Consequently, stealthy anomalies can bypass PCM anomaly detection layers, leading to a decline in the overall resilience and security of the smart grid. Artificial Intelligence (AI) shows great potential for uncovering hidden correlations and patterns in large datasets generated from FEDs in the SG. To address this, a Self-learning Hybrid Machine Learning (SHEL) model has been designed to process BD for detecting, mitigating, and forecasting anomalies caused by false data injection in the energy network. The BD first undergoes rigorous preprocessing, including noise reduction, temporal alignment, and statistical feature extraction in FEDs. Afterward, the SHEL model learns the hidden patterns with high precision and exposes stealthy anomalies based on the real-time input BD stream and historical BD in coordination with the Supervisory Control and Data Acquisition (SCADA) system. This enables the Distribution System Operator (DSO) to gain deeper insights into cybersecurity threats that escape PCM mechanisms and could compromise the smart grid security. Moreover, the regenerated BD can support further research in fault diagnosis and forecasting, enhancing the resilience and security of the SG.
DOI: 10.17632/7nhpn39xst.1
title: Big Datasets for Intelligent Anomaly Detection, Mitigation, and Forecasting in Feeders to Secure Smart Grid

description: Big Data (BD) offers new opportunities for scientists to detect both normal and anomalous events in the Smart Grid (SG). However, the diverse and complex nature of Internet of Things (IoT)-enabled Feeder (FED) datasets poses significant challenges in analyzing and visualizing the real impacts. As a result, existing Centralized Protection, Control, and Monitoring (PCM) solutions often fail to uncover hidden patterns, making it difficult to distinguish between original and anomalous events in FEDs. Consequently, stealthy anomalies can bypass PCM anomaly detection layers, leading to a decline in the overall resilience and security of the smart grid. Artificial Intelligence (AI) shows great potential for uncovering hidden correlations and patterns in large datasets generated from FEDs in the SG. To address this, a Self-learning Hybrid Machine Learning (SHEL) model has been designed to process BD for detecting, mitigating, and forecasting anomalies caused by false data injection in the energy network. The BD first undergoes rigorous preprocessing, including noise reduction, temporal alignment, and statistical feature extraction in FEDs. Afterward, the SHEL model learns the hidden patterns with high precision and exposes stealthy anomalies based on the real-time input BD stream and historical BD in coordination with the Supervisory Control and Data Acquisition (SCADA) system. This enables the Distribution System Operator (DSO) to gain deeper insights into cybersecurity threats that escape PCM mechanisms and could compromise the smart grid security. Moreover, the regenerated BD can support further research in fault diagnosis and forecasting, enhancing the resilience and security of the SG.
DOI: 10.17632/sf6xz45nxt
title: Forrest plot displaying the association between ever reported history of sunburn and basal cell carcinoma.

description: Supplementary figure 1: Forrest plot displaying the association between ever reported history of sunburn and basal cell carcinoma.
DOI: 10.17632/sf6xz45nxt.2
title: Forrest plot displaying the association between ever reported history of sunburn and basal cell carcinoma.

description: Supplementary figure 1: Forrest plot displaying the association between ever reported history of sunburn and basal cell carcinoma.
DOI: 10.17632/gxxzx7n4hn
title: Research on Driving Mechanisms and Performance Evaluation of the Transformation of Old and New Driving Force in China

description: Research on Driving Mechanisms and Performance Evaluation of the Transformation of Old and New Driving Force in China
DOI: 10.17632/gxxzx7n4hn.1
title: Research on Driving Mechanisms and Performance Evaluation of the Transformation of Old and New Driving Force in China

description: Research on Driving Mechanisms and Performance Evaluation of the Transformation of Old and New Driving Force in China
DOI: 10.17632/nvmf64t2pj
title: Roles of Social–Ecological Fit in Watershed Governance: Cross–Jurisdictional Collaboration and Water Quality Improvement in the Yellow River Basin of China

description: Roles of Social–Ecological Fit in Watershed Governance: Cross–Jurisdictional Collaboration and Water Quality Improvement in the Yellow River Basin of China
DOI: 10.17632/nvmf64t2pj.1
title: Roles of Social–Ecological Fit in Watershed Governance: Cross–Jurisdictional Collaboration and Water Quality Improvement in the Yellow River Basin of China

description: Roles of Social–Ecological Fit in Watershed Governance: Cross–Jurisdictional Collaboration and Water Quality Improvement in the Yellow River Basin of China
DOI: 10.17632/myby6tfnh7
title: Spatial transcriptomics reveals an unexpected impact of tau and tau pathology on the expression of transthyretin

description: This is the public data repository for the the work presented in Croteau & Navarro et al. DOI: XXXX (TBC)

The repository contains 24 Spatial Transcriptomics (ST) datasets from tissue sections (hippocampus). 

The sections were obtained from two Alzheimer´s disease mouse models:

- Tau22: over-expression of the Tau protein
- TauKO: knockout of the Tau protein

For each section, we have deposited the following:

- H&E file
- Matrix of counts (spots inside tissue)
- Raw matrix of counts with coordinates file
- Merged matrices of counts and meta files using in the downstream analyses. 
- Results of the downstream analyses (DE analysis genes, pathways, etc...). 

The scripts and notebooks used to analyse the data are available at https://github.com/jfnavarro/TAU22_KOTAU

The repository also contains all the Immunofluorescence (IF) images included in the manuscript.
DOI: 10.17632/myby6tfnh7.1
title: Spatial transcriptomics reveals an unexpected impact of tau and tau pathology on the expression of transthyretin

description: This is the public data repository for the the work presented in Croteau & Navarro et al. DOI: XXXX (TBC)

The repository contains 24 Spatial Transcriptomics (ST) datasets from tissue sections (hippocampus). 

The sections were obtained from two Alzheimer´s disease mouse models:

- Tau22: over-expression of the Tau protein
- TauKO: knockout of the Tau protein

For each section, we have deposited the following:

- H&E file
- Matrix of counts (spots inside tissue)
- Raw matrix of counts with coordinates file
- Merged matrices of counts and meta files using in the downstream analyses. 
- Results of the downstream analyses (DE analysis genes, pathways, etc...). 

The scripts and notebooks used to analyse the data are available at https://github.com/jfnavarro/TAU22_KOTAU

The repository also contains all the Immunofluorescence (IF) images included in the manuscript.
DOI: 10.17632/4b3c4xkf8k
title: Garcia-Toledo et al 2025. BSocial tool deciphers highly functional plant growth-promoting consortia - BSocial data

description: Dataset needed to decipher social behaviour using the BSocial tool (http://m4m.ugr.es/BSocial.html). The data shows mean growth rate and no. generations for all 255 communities, from the combinatorial of 8 strains. The composition of each community is observed in the document. Strains used: Azospirillum brasilense (AB), Bacillus subtilis (BS), Bradyrhizobium valentinum (BV), Ensifer medicae (EM), Pseudomonas chlororaphis (PC), Pseudomonas fluorescens (PF), Pseudomonas lutea (PL), Pseudomonas rhizosphaerae (PR).
DOI: 10.17632/4b3c4xkf8k.1
title: Garcia-Toledo et al 2025. BSocial tool deciphers highly functional plant growth-promoting consortia - BSocial data

description: Dataset needed to decipher social behaviour using the BSocial tool (http://m4m.ugr.es/BSocial.html). The data shows mean growth rate and no. generations for all 255 communities, from the combinatorial of 8 strains. The composition of each community is observed in the document. Strains used: Azospirillum brasilense (AB), Bacillus subtilis (BS), Bradyrhizobium valentinum (BV), Ensifer medicae (EM), Pseudomonas chlororaphis (PC), Pseudomonas fluorescens (PF), Pseudomonas lutea (PL), Pseudomonas rhizosphaerae (PR).
DOI: 10.17632/fv84ndv3kb.6
title: Lysinibacillus macroides 38352 Isolated from Traditional Chinese Fermented Foods: A Dual Effect on Ochratoxin A Detoxification and Immune Suppression Alleviation

description: Ochratoxin A (OTA) poses a persistent threat to global food safety and livestock health. We isolated three OTA-degrading bacterial strains from 28 types of traditional Chinese fermented foods. Among them, Lysinibacillus macroides 38352 exhibited the highest degradation efficiency, removing 51.4% of 2.5 μg/mL OTA within 72 hours at 37 °C, with further increases observed over time. Mechanistic analysis revealed that the degradation was mediated not by cell surface adsorption but by secreted metabolites generated through active cellular metabolism. The strain also demonstrated excellent probiotic properties, including tolerance to pH 2–12 and 0.2% bile salts, sensitivity to 15 antibiotics (indicating no resistance), and no pathogenicity in mice. Notably, oral administration of L. macroides 38352 significantly reversed OTA-induced immunosuppression, enhancing vaccine-induced specific IgG, neutralizing antibody titers, and cytokine levels (IL-1β, IL-4, IL-12, IL-17, and IFN-γ), while also reducing inflammatory damage and improving growth performance in OTA-exposed broilers. 
Sequence analysis of strains 38351, 38352, and 38362.
Figure 1. Isolation of the OTA-degrading strains. Colony and cell morphology of the isolated strains. (A) Strain 38351. (B) Strain 38352. (C) Strain 38362. (D) Removal ratio of OTA by strains. (* p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001).
Figure 2. Phylogenetic tree of the isolated 38351, 38352 and 38362 and related taxa. (A) Phylogenetic tree analysis of isolates based on partial 16S rRNA gene sequences. (B) Phylogenetic tree analysis of isolates based on partial gyrB gene sequences.
Figure 3. Degradation properties of OTA by isolated strains. (A) Growth curve of isolated strain 38352. (B) Degradation rate of OTA by different cell components. OTA degradation ability of strain 38352: (C) Effect of different cell concentrations, (D) effect of culture time, and (E) culture temperature. (* p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001).
Figure 4. Results of body weight change monitoring. (A) Line chart of body weight change before poison attack. (B) Histogram of body weight change after poisoning.
Figure 5. Specific IgG antibody level in chicken serum on Day 7 and Day 14 after immunization, as well as 7 days after subsequent challenge with C. perfringens.
Figure 6. Gene transcription of immune-related cytokines in (A) jejunum and (B) cecal tonsil. Data were presented as means ± SD (* p &lt; 0.05, and ** p &lt; 0.01). 
Figure S1. (A) Results of body weight change in mice. (B) Results of the mice autopsy from the strain 38352 group and the control group.
Figure S2. Lesion score results of each experimental group.
Table 1. Results of bacterial susceptibility test.
Table S1 PCR primers sequences.
Table S2. Probiotic properties of isolates.
DOI: 10.17632/6j7by525fy
title: Heat risk map for the city of São Paulo

description: Title
Heat risk map for the city of São Paulo

This dataset is part of a PhD research entitled "Urban heating, lack of green and lack of space: proposals for urban redesign to adapt to climate change at the microscale in the city of São Paulo", and of a research internship abroad entitled "Urban heating, lack of green and lack of space: proposal of a new green factor for the city of São Paulo".

*General Details
This dataset includes three itens: a folder containing the shapefile spatializing heat risk within the urbanized areas in the city of São Paulo; a QGIS layer setting (.qml) for official color settings and scale of values; and a TIFF image. 
The map was developed at the census tract scale (26506 urban tracts were mapped) and based on different sources of data (LANDSAT 8/9 OLI/TIRS images and several other geodata). All the details can be consulted in Muñoz et al. (2025). 
Everything was processed using QGIS LTR 3.28.11 and the projection EPSG 31983 – SIRGAS 2000/ UTM zone 23S.

**For more information about the method please refer to: 
Muñoz, L. S., Duarte, D. H. S., & Emmanuel, R. (2025). Heat risk in the city of São Paulo: Interactions between SUHI and social inequality. Urban Climate, 63, 102568. https://doi.org/10.1016/j.uclim.2025.102568. Available at: https://www.sciencedirect.com/science/article/pii/S2212095525002846
 
Acknowledgements:

This work was supported by the Sao Paulo Research Foundation (FAPESP) - grants #2021/04751–7, #2023/03279–8, #2022/08401–3, #2021/11762–5 and #2020/06694–8, by the National Council for Scientific and Technological Development, CNPq - grant #312592/2021–3, and by Coordination for the Improvement of Higher Education Personnel (CAPES) - grant #88881.688962/2022–01.
DOI: 10.15468/dl.ygxhky
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anartia amathea"
 ]
}

 The dataset includes 450 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012419-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6j7by525fy.1
title: Heat risk map for the city of São Paulo

description: Title
Heat risk map for the city of São Paulo

This dataset is part of a PhD research entitled "Urban heating, lack of green and lack of space: proposals for urban redesign to adapt to climate change at the microscale in the city of São Paulo", and of a research internship abroad entitled "Urban heating, lack of green and lack of space: proposal of a new green factor for the city of São Paulo".

*General Details
This dataset includes three itens: a folder containing the shapefile spatializing heat risk within the urbanized areas in the city of São Paulo; a QGIS layer setting (.qml) for official color settings and scale of values; and a TIFF image. 
The map was developed at the census tract scale (26506 urban tracts were mapped) and based on different sources of data (LANDSAT 8/9 OLI/TIRS images and several other geodata). All the details can be consulted in Muñoz et al. (2025). 
Everything was processed using QGIS LTR 3.28.11 and the projection EPSG 31983 – SIRGAS 2000/ UTM zone 23S.

**For more information about the method please refer to: 
Muñoz, L. S., Duarte, D. H. S., & Emmanuel, R. (2025). Heat risk in the city of São Paulo: Interactions between SUHI and social inequality. Urban Climate, 63, 102568. https://doi.org/10.1016/j.uclim.2025.102568. Available at: https://www.sciencedirect.com/science/article/pii/S2212095525002846
 
Acknowledgements:

This work was supported by the Sao Paulo Research Foundation (FAPESP) - grants #2021/04751–7, #2023/03279–8, #2022/08401–3, #2021/11762–5 and #2020/06694–8, by the National Council for Scientific and Technological Development, CNPq - grant #312592/2021–3, and by Coordination for the Improvement of Higher Education Personnel (CAPES) - grant #88881.688962/2022–01.
DOI: 10.17632/rsrsw8h7mv.1
title: Mechanosorptive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain

description: This dataset contains experimental results from our study (Ferrara and Wittel, 2025b), in which mechanosorptive creep tests were performed on Norway spruce tissue slices in the transverse anatomical directions—radial (R) and tangential (T)—under cyclic relative humidity (RH) between 30% and 90%. Samples were cut in the orientations {RL, RT, TR}, where the first letter denotes the longitudinal dimension and the second the transverse width, all comprising alternating bands of earlywood (EW) and latewood (LW). Tests were carried out at different loading degrees (LD): {RL, RT} at 30% and 50%, and {TR} at 40% of the respective tensile strength. Reference tensile strengths were taken from our earlier work (Ferrara and Wittel, 2024).

The dataset is organized by sample type, with each file containing multiple sheets corresponding to individual experiments. Each sheet reports detailed information about the sample (e.g., dimensions, loading degree, ...), together with time, moisture content, creep strain, and creep compliance measurements. In addition, two CSV files are provided: the first contains mean elastic compliance values from our earlier work (Ferrara and Wittel, 2024), enabling analyses of how creep compliance scales with elastic compliance; the second contains element compliances of the Kelvin–Voigt model describing the mean viscoelastic compliances from our previous work (Ferrara and Wittel, 2025a), which serve as input for calculating the viscoelastic strain component. Finally, one NPZ file includes the results of Dynamic Vapor Sorption (DVS) tests, reproducing the RH profile applied in the mechanosorptive experiments.

A. Ferrara and F.K. Wittel "Mechanosoprtive Creep of Norway Spruce on the Tissue Scale Perpendicular to Grain", Holzforschung (2025b)
A. Ferrara and F.K. Wittel "Tensile Creep of Norway Spruce on the Tissue Scale", Mechanics of Time-Dependent Materials (2025a) 
A. Ferrara and F.K. Wittel "Micro-mechanical tests on tissue slices of Norway spruce: tensile and shear performance", Holzforschung (2024)
DOI: 10.17632/z98x3zzzhy
title: State-owned capital participation and customer concentration in private firms: Evidence from China

description: The empirical process consists of seven main steps, each of which corresponds to the empirical analysis in the paper in turn. Firm-level financial and corporate governance data are obtained from the CSMAR database, and macroeconomic data are sourced from the China Statistical Yearbook. All tables can be obtained by running "code.do." We have clarified all tables and figures in the do-file.
DOI: 10.17632/z98x3zzzhy.3
title: State-owned capital participation and customer concentration in private firms: Evidence from China

description: The empirical process consists of seven main steps, each of which corresponds to the empirical analysis in the paper in turn. Firm-level financial and corporate governance data are obtained from the CSMAR database, and macroeconomic data are sourced from the China Statistical Yearbook. All tables can be obtained by running "code.do." We have clarified all tables and figures in the do-file.
DOI: 10.17632/5b2b87jcby
title: Drug Screening for ACOD1 Modulators

description: Drug Screening for ACOD1 Modulators
DOI: 10.17632/5b2b87jcby.1
title: Drug Screening for ACOD1 Modulators

description: Drug Screening for ACOD1 Modulators
DOI: 10.17632/n6x3mbnvdh
title: ApplePlumBD

description: 1. Type of data: 640 * 640 pixels images
2. Data Format: Annotated JPG files
3. Original images: 623 images
4. Augmented Image: 1623 images
5. Growth cycle considered: Five- Bud, Flower, Early Fruit, Matured Fruit, Ripened Fruit
6. Number of classes: Five (for each Stage).
7. Data source locations: Singair, Noyabari, Manikganj, Bangladesh.
8. Where applicable: Suitable for horticulture automation
DOI: 10.17632/n6x3mbnvdh.2
title: ApplePlumBD

description: 1. Type of data: 640 * 640 pixels images
2. Data Format: Annotated JPG files
3. Original images: 623 images
4. Augmented Image: 1623 images
5. Growth cycle considered: Five- Bud, Flower, Early Fruit, Matured Fruit, Ripened Fruit
6. Number of classes: Five (for each Stage).
7. Data source locations: Singair, Noyabari, Manikganj, Bangladesh.
8. Where applicable: Suitable for horticulture automation
DOI: 10.17632/vftk2zf4db
title: Leaf Disease

description: Leaf Disease
DOI: 10.17632/vftk2zf4db.1
title: Leaf Disease

description: Leaf Disease
DOI: 10.17632/5c5p49w6n7.1
title: Major element, trace element and Ti isotope data

description: This dataset contains major and trace element compositions, as well as Ti isotope data, measured on lunar basalts from the Chang’e-5 landing site. Analyses were performed using TIMA, EPMA, LA-Q-ICP-MS, and LA-MC-ICP-MS techniques. The dataset provides key geochemical constraints on the petrogenesis and mantle source characteristics of young (&lt;2 Ga) mare basalts on the Moon.
DOI: 10.17632/z45bptxptf
title: Indonesian Pharmaceutical Dataset

description: Indonesian Pharmaceutical Dataset is a dataset containing drug and disease information relevant to Indonesia, written entirely in Bahasa Indonesia. It includes structured data on drug names, descriptions, usage rules, dosage, side effects, associated diseases, and trademarks. For diseases, it covers names, descriptions, causes, and symptoms. The dataset has been cleaned and formatted for ease of use and is available in CSV format.
DOI: 10.15468/dl.6hz9x3
title: Occurrence Download

description: A dataset containing 13469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caviidae"
 ]
}

 The dataset includes 13469 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012422-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdt6h9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia japonica x sachalinensis",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012421-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z45bptxptf.2
title: Indonesian Pharmaceutical Dataset

description: Indonesian Pharmaceutical Dataset is a dataset containing drug and disease information relevant to Indonesia, written entirely in Bahasa Indonesia. It includes structured data on drug names, descriptions, usage rules, dosage, side effects, associated diseases, and trademarks. For diseases, it covers names, descriptions, causes, and symptoms. The dataset has been cleaned and formatted for ease of use and is available in CSV format.
DOI: 10.17632/zxyf3pjcp6
title: Surgical Autonomous Management Competence Assessment Form (SAMCAF)

description: Basic data for development and validation of Surgical Autonomous Management Competence Assessment Form (SAMCAF)
DOI: 10.17632/zxyf3pjcp6.1
title: Surgical Autonomous Management Competence Assessment Form (SAMCAF)

description: Basic data for development and validation of Surgical Autonomous Management Competence Assessment Form (SAMCAF)
DOI: 10.17632/2zwysv38zr
title: KCEM1 Paper Doyle-Roth Sept 2025

description: Peptide synthesis data files.
In vitro assay excel file of raw data.
In vivo assay excel file of raw data.
DOI: 10.17632/2zwysv38zr.1
title: KCEM1 Paper Doyle-Roth Sept 2025

description: Peptide synthesis data files.
In vitro assay excel file of raw data.
In vivo assay excel file of raw data.