cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xz4d5zj5yw
title: Rule-Based SQL Injection (RbSQLi) Dataset

description: The RbSQLi dataset has been developed to support advanced research and development in the detection of SQL injection (SQLi) vulnerabilities. It contains a total of 10,190,450 structured entries, out of which 2,699,570 are labeled as malicious and 7,490,880 as benign. The malicious entries are categorized into six distinct types of SQL injection attacks: Union-based (398,070 samples), Stackqueries-based (223,800 samples), Time-based (564,900 samples), Meta-based (481,280 samples), Boolean-based (207,900 samples), and Error-based (823,620 samples).

The malicious payloads for Union-based, Time-based, and Error-based injection types were sourced directly from the widely used and reputable open-source GitHub repository "Payloads All The Things – SQL Injection Payload List" (https://github.com/payloadbox/sql-injection-payload-list). Moreover, ChatGPT was employed to generate additional payloads for Boolean-based, Stack queries-based, and Meta-based injection categories. This hybrid approach ensures that the dataset reflects both known attack patterns and intelligently simulated variants, contributing to a broader representation of SQLi techniques. Again, some queries in the SQLi dataset are syntactically invalid yet contain malicious payloads, enabling models to detect SQL injection attempts even when attackers submit improperly formed or malformed queries. This highlights the importance of training models to recognize semantic intent rather than relying solely on syntactic correctness. 

All payloads were carefully curated, anonymized, and structured during preprocessing. Sensitive data was replaced with secure placeholders, preserving semantic meaning while protecting data integrity and privacy. The dataset also underwent a thorough sanitization process to ensure consistency and usability. To support scalability and reproducibility, a rule-based classification algorithm was used to automate the labeling and organization of each payload by type. This methodology promotes standardization and ensures that the dataset is ready for use in machine learning pipelines, anomaly detection models, and intrusion detection systems. In addition to being comprehensive, the dataset provides a substantial volume of clean (benign) data, making it well-suited for supervised learning, comparative experiments, and robustness testing in cybersecurity research.

This dataset is intended to facilitate progress in the development of more accurate and generalizable SQL injection detection systems and to serve as a reliable benchmark for the broader security and machine learning communities.
DOI: 10.17632/xz4d5zj5yw.4
title: Rule-Based SQL Injection (RbSQLi) Dataset

description: The RbSQLi dataset has been developed to support advanced research and development in the detection of SQL injection (SQLi) vulnerabilities. It contains a total of 10,190,450 structured entries, out of which 2,699,570 are labeled as malicious and 7,490,880 as benign. The malicious entries are categorized into six distinct types of SQL injection attacks: Union-based (398,070 samples), Stackqueries-based (223,800 samples), Time-based (564,900 samples), Meta-based (481,280 samples), Boolean-based (207,900 samples), and Error-based (823,620 samples).

The malicious payloads for Union-based, Time-based, and Error-based injection types were sourced directly from the widely used and reputable open-source GitHub repository "Payloads All The Things – SQL Injection Payload List" (https://github.com/payloadbox/sql-injection-payload-list). Moreover, ChatGPT was employed to generate additional payloads for Boolean-based, Stack queries-based, and Meta-based injection categories. This hybrid approach ensures that the dataset reflects both known attack patterns and intelligently simulated variants, contributing to a broader representation of SQLi techniques. Again, some queries in the SQLi dataset are syntactically invalid yet contain malicious payloads, enabling models to detect SQL injection attempts even when attackers submit improperly formed or malformed queries. This highlights the importance of training models to recognize semantic intent rather than relying solely on syntactic correctness. 

All payloads were carefully curated, anonymized, and structured during preprocessing. Sensitive data was replaced with secure placeholders, preserving semantic meaning while protecting data integrity and privacy. The dataset also underwent a thorough sanitization process to ensure consistency and usability. To support scalability and reproducibility, a rule-based classification algorithm was used to automate the labeling and organization of each payload by type. This methodology promotes standardization and ensures that the dataset is ready for use in machine learning pipelines, anomaly detection models, and intrusion detection systems. In addition to being comprehensive, the dataset provides a substantial volume of clean (benign) data, making it well-suited for supervised learning, comparative experiments, and robustness testing in cybersecurity research.

This dataset is intended to facilitate progress in the development of more accurate and generalizable SQL injection detection systems and to serve as a reliable benchmark for the broader security and machine learning communities.
DOI: 10.17632/2yzxdgvb85.4
title: Maltol Induces Diabetic Fragility Fractures by Disrupting the Balance of Bone Remodeling

description: All data generated or analyzed during "Maltol Induces Diabetic Fragility Fractures by Disrupting the Balance of Bone Remodeling" are included in the source data file.
DOI: 10.15468/dl.gc8e6v
title: Occurrence Download

description: A dataset containing 3025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrolepis cordifolia",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3025 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028285-250920141307145/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.26606920
title: Additional file 2 of Mitochondrial DNA mutations in Medulloblastoma

description: Additional file 2. Table S1. Results of Fisher’s exact tests comparing MB groups in the ICGC cohort are shown regarding an enrichment of samples harbouring a mutation in general and an enrichment of mutations in one area of the mtDNA. For both versions, statistical analysis was conducted one time considering all variants, regardless of heteroplasmy, and one time including only variants with at least 50% heteroplasmy. Adjustment of p-values was conducted using Bonferroni correction. MB Medulloblastoma, G3 Group 3, G4 Group 4, CDS Coding sequence.
DOI: 10.6084/m9.figshare.26606920.v1
title: Additional file 2 of Mitochondrial DNA mutations in Medulloblastoma

description: Additional file 2. Table S1. Results of Fisher’s exact tests comparing MB groups in the ICGC cohort are shown regarding an enrichment of samples harbouring a mutation in general and an enrichment of mutations in one area of the mtDNA. For both versions, statistical analysis was conducted one time considering all variants, regardless of heteroplasmy, and one time including only variants with at least 50% heteroplasmy. Adjustment of p-values was conducted using Bonferroni correction. MB Medulloblastoma, G3 Group 3, G4 Group 4, CDS Coding sequence.
DOI: 10.15468/dl.3kuagb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.735567 -32.640975, 148.735567 -32.64322, 148.737813 -32.64322, 148.737813 -32.640975, 148.735567 -32.640975))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067249-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26676740
title: Additional file 2 of Monitoring volcanic activity with distributed acoustic sensing using the Tongan seafloor telecommunications cable

description: Additional file 2: Event list obtained in this study.
DOI: 10.6084/m9.figshare.26676743
title: Additional file 1 of Identification and expression analysis of expansin gene family in Salvia miltiorrhiza

description: Additional file 1: Table S1. Primer sequences of qRT-PCR.
DOI: 10.6084/m9.figshare.26676743.v1
title: Additional file 1 of Identification and expression analysis of expansin gene family in Salvia miltiorrhiza

description: Additional file 1: Table S1. Primer sequences of qRT-PCR.
DOI: 10.6084/m9.figshare.26676746
title: Additional file 2 of Identification and expression analysis of expansin gene family in Salvia miltiorrhiza

description: Additional file 2: Sequence of each SmEXP.
DOI: 10.6084/m9.figshare.26676746.v1
title: Additional file 2 of Identification and expression analysis of expansin gene family in Salvia miltiorrhiza

description: Additional file 2: Sequence of each SmEXP.
DOI: 10.6084/m9.figshare.26570743
title: Additional file 4 of Gamma-delta T cells modulate the microbiota and fecal micro-RNAs to maintain mucosal tolerance

description: Additional file 4: Supplementary Table 3. Intestinal γδ T cells secrete miRNAs to promote rhe growth of Ruminococcus gnavus.
DOI: 10.6084/m9.figshare.26676755
title: Additional file 2 of The in vitro gastrointestinal digestion-associated protein corona of polystyrene nano- and microplastics increases their uptake by human THP-1-derived macrophages

description: Additional file 2. Raw proteomics data and differential expression analysis.
DOI: 10.6084/m9.figshare.26676755.v1
title: Additional file 2 of The in vitro gastrointestinal digestion-associated protein corona of polystyrene nano- and microplastics increases their uptake by human THP-1-derived macrophages

description: Additional file 2. Raw proteomics data and differential expression analysis.
DOI: 10.6084/m9.figshare.26570743.v1
title: Additional file 4 of Gamma-delta T cells modulate the microbiota and fecal micro-RNAs to maintain mucosal tolerance

description: Additional file 4: Supplementary Table 3. Intestinal γδ T cells secrete miRNAs to promote rhe growth of Ruminococcus gnavus.
DOI: 10.15468/dl.ugt947
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.773746 -32.640975, 148.773746 -32.64322, 148.775991 -32.64322, 148.775991 -32.640975, 148.773746 -32.640975))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067251-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26606950
title: Additional file 1 of The prevalence of osteoporotic fractures in the elderly in China: a systematic review and meta-analysis

description: Additional file 1. Basic characteristics of included studies.
DOI: 10.6084/m9.figshare.26606950.v1
title: Additional file 1 of The prevalence of osteoporotic fractures in the elderly in China: a systematic review and meta-analysis

description: Additional file 1. Basic characteristics of included studies.
DOI: 10.6084/m9.figshare.26676794
title: Additional file 1 of ANGPTL4 regulates ovarian cancer progression by activating the ERK1/2 pathway

description: Additional file 1: Table S1. Antibodies information.
DOI: 10.6084/m9.figshare.26676794.v1
title: Additional file 1 of ANGPTL4 regulates ovarian cancer progression by activating the ERK1/2 pathway

description: Additional file 1: Table S1. Antibodies information.
DOI: 10.6084/m9.figshare.26676797
title: Additional file 2 of ANGPTL4 regulates ovarian cancer progression by activating the ERK1/2 pathway

description: Additional file 2: Raw Data
DOI: 10.6084/m9.figshare.26676797.v1
title: Additional file 2 of ANGPTL4 regulates ovarian cancer progression by activating the ERK1/2 pathway

description: Additional file 2: Raw Data
DOI: 10.6084/m9.figshare.26570689.v1
title: Additional file 2 of Analysis of clinical and genomic profiles of therapy-related myeloid neoplasm in Korea

description: Additional file 2. Observed somatic variants of 53 T-MN patients.
DOI: 10.25345/c51r6nc0g
title: MassIVE MSV000095604 - Enhanced sample multiplexing-based targeted proteomics with intelligent data acquisition
title: Targeted proteomics has been playing an increasingly important role in hypothesis-driven protein research and clinical bi-omarker discovery. We have previously created a workflow, Tomahto, to enable real-time targeted pathway proteomics assays using two-dimensional multiplexing technology. Coupled with the TMT 11-plex reagent, hundreds of proteins of in-terest from up to 11 samples can be targeted and accurately quantified in a single-shot experiment with remarkable sensi-tive. However, room remains to further improve sensitivity, accuracy, and throughput, especially for targeted studies de-manding a high peptide-level success rate. Here, bearing in mind the goal to improve peptide-level targeting, we introduce several new functionalities in Tomahto, featuring integration of gas-phase fractionation using the FAIMS device, an ac-companying software program (TomahtoPrimer) to customize fragmentation for each peptide target, and support for higher multiplexing capacity with the latest TMTpro18-plex reagent. We demonstrate that adding these features to the Tomahto platform significantly improves overall success rate from 89% to 98% in a single 60-min targeted assay of 290 peptides across human cell lines, while boosting quantitative accuracy via reducing TMT reporter ion interference.
DOI: 10.6084/m9.figshare.26570689
title: Additional file 2 of Analysis of clinical and genomic profiles of therapy-related myeloid neoplasm in Korea

description: Additional file 2. Observed somatic variants of 53 T-MN patients.
DOI: 10.6084/m9.figshare.26606899.v1
title: Additional file 1 of ISG15 and ISGylation modulates cancer stem cell-like characteristics in promoting tumor growth of anaplastic thyroid carcinoma

description: Additional file 1: Fig. S1. ISG15 and KPNA2 inhibited CSCs characteristics. (A) Flow cytometry analysis of ALDH activity after ISG15 silence in ATC cells. (B) The GeneMANIA database to analyze the physical interaction of ISG15. (C) The secondary mass spectrometry of KPNA2 interacted with ISG15. (D) Recurrence free survival (RFS) analysis of KPNA2 in thyroid cancer was acquired from the Kaplan–Meier plot database. (E) Flow cytometry analysis of ALDH activity after KPNA2 silence in ATC cells. (F) The expression of c-MYC in NT or ATC tissues. (G) The Pearson correlation analysis of c-MYC and stemness. (H) Flow cytometry analysis of CD133+ cell ratio in ATC cells
DOI: 10.6084/m9.figshare.26676809
title: Additional file 1 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 1:Table S1 Analysis of variance in fruit characteristics under different grafting combinations in Camellia oleifera
DOI: 10.6084/m9.figshare.26676809.v1
title: Additional file 1 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 1:Table S1 Analysis of variance in fruit characteristics under different grafting combinations in Camellia oleifera
DOI: 10.6084/m9.figshare.26676812
title: Additional file 2 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 2: Table S2 Analysis of variance in fat and fatty acid composition of fruit under different grafting combinations in Camellia oleifera
DOI: 10.6084/m9.figshare.26676812.v1
title: Additional file 2 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 2: Table S2 Analysis of variance in fat and fatty acid composition of fruit under different grafting combinations in Camellia oleifera
DOI: 10.6084/m9.figshare.26676815
title: Additional file 3 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 3: Table S3 The MAPE values of 12 characteristics of fruits under different combinations
DOI: 10.6084/m9.figshare.26676815.v1
title: Additional file 3 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 3: Table S3 The MAPE values of 12 characteristics of fruits under different combinations
DOI: 10.6084/m9.figshare.26676818
title: Additional file 4 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 4: Table S4 The MAPE values and R2 based on the validation and testing sets of the 12 characteristics in the DNN mode
DOI: 10.6084/m9.figshare.26676818.v1
title: Additional file 4 of Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

description: Additional file 4: Table S4 The MAPE values and R2 based on the validation and testing sets of the 12 characteristics in the DNN mode
DOI: 10.15468/dl.fjp2s4
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Korea, Republic of",
 "TaxonKey is Schisandra chinensis (Turcz.) Baill.",
 "Year 1960-2024"
 ]
}

 The dataset includes 597 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015697-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdbc7p
title: Occurrence Download

description: A dataset containing 4980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alytes cisternasii Boscá, 1879)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4980 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015698-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf33wv
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-70.76815 -17.21946,-69.86577 -15.89989,-72.63875 -13.6141,-74.14543 -13.09055,-75.62699 -14.14224,-71.7308 -16.47525,-70.76815 -17.21946))",
 "HasGeospatialIssue is false",
 "TaxonKey is Nothura darwinii G.R.Gray, 1867"
 ]
}

 The dataset includes 61 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015699-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh3qhv
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psilocorsis quercicella Clemens, 1860)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 544 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015701-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezbvgh
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Korea, Republic of",
 "TaxonKey is Schisandra chinensis (Turcz.) Baill.",
 "Year 1960-2024"
 ]
}

 The dataset includes 597 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015702-241107131044228/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.27721332.v1
title: Survey Data and experiment results on Sexual Objectification and Self-Objectification: Male and Female Participants

description: Within the framework of objectification theory, this study explores same-sex objectification in three heterosexual interpersonal contexts—Strangers, Colleagues, and Friends—within a Chinese cultural setting. It examines how perpetrator type, comment valence, and comment type influence self-objectification and enjoyment of sexualization, comparing reactions between men and women. Using a randomized design, 202 heterosexual females and 193 males were exposed to objectifying comments from same-sex individuals in these scenarios. Participants completed two questionnaires: the Self-objectification Questionnaire and the Enjoyment of Sexualization Scale.
DOI: 10.15468/dl.44aqem
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Korea, Republic of",
 "TaxonKey is Schisandra chinensis (Turcz.) Baill.",
 "Year 1960-2024"
 ]
}

 The dataset includes 597 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015704-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xfae9
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tanaorhinus reciprocata (Walker, 1861)"
 ]
}

 The dataset includes 314 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015705-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntab2c
title: Occurrence Download

description: A dataset containing 1319943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea millefolium L."
 ]
}

 The dataset includes 1319943 records from 4473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015700-241107131044228/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.28377284
title: SpatialDIVA - Valdeolivas et al. processed dataset

description: This dataset contains the h5ad files for the processed Valdeolivas et al. colorectal cancer dataset from the SpatialDIVA paper. This includes 12 colorectal cancer slides with deconvolved spot-level annotations, pathologist annotations, UNI histopathology foundation model features, and other relevant metadata.
DOI: 10.15468/dl.86fc2k
title: Occurrence Download

description: A dataset containing 11469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Balanophoraceae)"
 ]
}

 The dataset includes 11469 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021194-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44j99x
title: Occurrence Download

description: A dataset containing 310007 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myricaceae)"
 ]
}

 The dataset includes 310007 records from 1212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021190-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.